{"id":5412,"date":"2024-08-20T11:57:30","date_gmt":"2024-08-20T06:27:30","guid":{"rendered":"https:\/\/www.aimlsystems.org\/2024\/?page_id=5412"},"modified":"2025-10-03T18:23:01","modified_gmt":"2025-10-03T12:53:01","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/www.aimlsystems.org\/2026\/accepted-papers\/","title":{"rendered":"Accepted Papers"},"content":{"rendered":"

[et_pb_section fb_built=”1″ admin_label=”Header” _builder_version=”4.19.5″ _module_preset=”default” background_color=”gcid-1bcf785a-50e1-437b-b09f-65567babc1de” background_image=”https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/05\/grid-bg-2.png” background_size=”initial” background_position=”bottom_center” background_repeat=”repeat” custom_padding=”||0px|||” collapsed=”on” global_colors_info=”{%22gcid-1bcf785a-50e1-437b-b09f-65567babc1de%22:%91%22background_color%22%93}”][et_pb_row _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.25.1″ _module_preset=”7f63b212-a10a-4d30-afa2-e478a747ca88″ custom_margin=”||10px||false|false” header_2_font_size_phone=”33px” global_colors_info=”{}”]<\/p>\n

Accepted Papers<\/span><\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Features” module_id=”about” _builder_version=”4.21.0″ _module_preset=”default” background_color=”#dbdbdb” background_image=”https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/05\/rm380-10.jpg” background_blend=”overlay” custom_padding=”3.9%||||false|false” use_background_color_gradient_phone=”on” background_color_gradient_stops_phone=”#001528 0%|rgba(255, 255, 255, 0) 10%|rgba(255,255,255,0) 70%|#0f0122 100%” collapsed=”on” global_colors_info=”{}”][et_pb_row _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_heading title=”Research Track” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_heading][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.21.0″ _module_preset=”default” custom_padding=”43px||43px||true|” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_heading title=”Accepted Regular Papers” _builder_version=”4.25.1″ _module_preset=”default” title_level=”h3″ global_colors_info=”{}”][\/et_pb_heading][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”1. DetectLLM: A Multimodal Fusion Approach for Detecting LLM-Generated Text” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Rajat Soni (IIT Patna)*<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”2. Multi-Granular Encoder-Decoder Architecture for Explainable Fact-Checking via Multi-Task Learning” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Mohit Nathani (Indian Institute of Technology)*<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”3. Optimal NER systems: BenchMarking Transformer Based models and Traditional Models on BioMedical Corpus” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Maram Vardhan (NIT Patna)*; Maram rao (Swarnandhra Institute of Engineering and Technology)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”\t4. Memoria: A Modular Memory Framework for Long-Term Personalization in LLM-Based Conversational Systems” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Samarth Sarin (BlackRock)*; Dhagash Mehta (BlackRock); Bhaskarjit Sarmah (BlackRock); Lovepreet Singh (BlackRock)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”5. Multi-resolution and multi-modal temporal graphs for financial forecasting” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Domenico Tupputi (University of Pisa); Davide Bacciu (Univeristy of Pisa)*<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”6. NISMon: Identifying the Root Cause of NIC Rx Buffer Buildup” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Ankit Sharma (Indian Institute of Technology Hyderabad)*; Ranjitha K (Indian Institute of Technology Hyderabad); Abed Kamaluddin (Marvell Technology); Satananda Burla (Marvell Technology); Praveen Tammana (Indian Institute of Technology Hyderabad)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”7. IsoSignVid2Aud: Sign Language Video to Audio Conversion without Text Intermediaries” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Harsh Kavediya (Indian Institute of Technology Bombay); Vighnesh Nayak (Indian Institute of Technology Bombay); Bheeshm Sharma (Indian Institute of Technology Bombay)*; Balamurugan Palaniappan (Indian Institute of Technology Bombay )<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”8. Know What You Don’t Know: Selective Prediction for Early Exit DNNs” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Divya Jyoti Bajpai (Indian Institute of Technology Bombay)*; Manjesh Kumar Hanawal (Indian Institute of Technology Bombay)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”9. Hybrid Co-Optimization of Mobility and Energy Systems for Enterprise Operation” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Satyajit Behera (TCS Research); Prasant Misra (TCS Research)*; Vishnu Menon (TCS Research); Venkatesh Sarangan (TCS Research)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”10. Social Sense mobile app with Evolution Analytics and Offensiveness Severity Detection” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Animesh Chaturvedi (Indian Institute of Information Technology Dharwad)*; Tanush Korgaokar (Indian Institute of Information Technology Dharwad); Mayank Kumar Shah (Indian Institute of Information Technology Dharwad); Aryan Kumar (Indian Institute of Information Technology Dharwad); Nikhil Baghel (Indian Institute of Information Technology Dharwad); Akash Deep Sarkar (Indian Institute of Information Technology Dharwad)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”11. A Pedagogical Approach For Evaluating AIOps” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Xinyang Chen (University of Helsinki); Yasith R Wanigarathna (University of Helsinki); Arnab Chattopadhyay (University of Helsinki); Sasu Tarkoma (University of Helsinki); Ashwin Rao (University of Helsinki)*<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”12. Data-driven Partitioning of Aggregate GPU Power among GPU (MIG) Partitions” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Tirth Vamja (IBM Research – India); Kaustabha Ray (IBM Research – India); Felix George (IBM Research – India); UmaMaheswari Devi (IBM Research – India)*<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”13.\tQueRA: Query Synthesis and Resource Access Modelling in RAG” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Varun Kadkde (Tata Consultancy Services)*; Mayank Mishra (Tata Consultancy Services); Manoj Nambiar (Tata Consultancy Services); Rekha Singhal (Tata Consultancy Services)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”14. LAMA-Net: Unsupervised Domain Adaptation via Latent Alignment and Manifold Learning for RUL Prediction” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Manu Joseph (Walmart Global Tech)*; Varchita Lalwani (Plaksha University)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”15.\tFaEmNet: A Performance-Driven Architecture for Facial Emotion Recognition” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Sonali Gangwar (IIT Roorkee)*; Sparsh Mittal (IIT ROORKEE)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”16.\tArchTune: A predictive Energy Estimation Framework for LLM Inference on Edge Accelerators” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> ARGHYAJOY MONDAL (TATA CONSULTANCY SERVICES LIMITED)*; RAJDEEP SAMANTA (TATA CONSULTANCY SERVICES LIMITED); ASHWIN KRISHNAN (TATA CONSULTANCY SERVICES LIMITED); SPARSH MITTAL (IIT ROORKEE); MANOJ NAMBIAR (TATA CONSULTANCY SERVICES LIMITED); Rekha Singhal ( TATA CONSULTANCY SERVICES LIMITED)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”17.\tEnhancing Feature Selection Using HCVR for IoT datasets” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Nikita Bhedasgaonkar (Pune Institute of Computer Technology)*; Rushikesh K. Joshi (Indian Institute of Technology, Bombay)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”18.\tELM-Split: Energy-Latency-Memory Aware Splitting of DNN models in Edge-Cloud Ecosystem” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Ratul Saha (Tata Consultancy Services)*; Roopika Saxena (IIT Dharwad); Rekha Singhal (TCS Research ); Manoj Nambiar (TCS Research)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”19. Optimal Strategies for Federated Learning Maintaining Client Privacy” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Uday Bhaskar K (IIIT Hyderabad)*; Varul Srivastava (IIIT Hyderabad); Avyukta Manjunatha Vummintala (IIIT Hyderabad); Naresh Manwani (IIIT Hyderabad); Sujit Gujar (IIIT Hyderabad)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”20.\tBypassing the CPU: GPU-Centric Video Inference for Edge Offloaded Applications” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Prashanth Putcha (IIT Hyderabad)*; Hrushikesh Samnekar (IIT Hyderabad); Amit Doda (IIT Hyderabad); Abed Mohammad Kamaluddin (Marvell Technology); Satananda Burla (Marvell Tecnology); Praveen Tammana (IIT Hyderabad)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”21.\tRI-MAC: Optimising MAC Operation using Custom RISC-V Instruction Set for Neural Network Inference” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Imlijungla Longchar (IIT Guwahati)*; Kaustubh Khutal (JSPM’s Rajarshi Shahu College of Engineering); Ashwath Reddy Chintham (IIT Tirupati); Amey Varhade (Microsoft); Hemangee K. Kapoor (IIT Guwahati)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”22.\tQuantifying User-Level Coordination in the Spread of Misinformation on X (Twitter)” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> BISWAMITRA MITRA (Indian Institute of Technology Kharagpur)*; SAMRA SAGHIR (The LNM Institute of Information Technology); UKU KANGUR (University of Tartu); RAJESH SHARMA (Plaksha University); SAKTHI BALAN MUTHIAH (Shiv Nadar University, Chennai)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.21.0″ _module_preset=”default” custom_padding=”27px||43px|||” saved_tabs=”all” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_heading title=”Accepted Poster Papers” disabled_on=”off|off|off” _builder_version=”4.25.1″ _module_preset=”default” title_level=”h3″ global_colors_info=”{}”][\/et_pb_heading][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”1. SLAT: A Real-Time Sign Language Assistant Tool Using CNN for Static Gesture Recognition and Translation” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Ayesha Taranum (presidency university)*<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”2. Multi-Dimensional Summarization Agents with Context-Aware Reasoning over Enterprise Tables” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Amit Dhanda (Amazon)*<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”3. ZK-WAGON: Imperceptible Watermark for Image Generation Models using ZK-SNARKs” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Aadarsh Anantha Ramakrishnan (National Institute of Technology, Tiruchirappalli)*; Shubham Agarwal (National Institute of Technology, Tiruchirappalli); Selvanayagam S (National Institute of Technology, Tiruchirappalli); Kunwar Singh (National Institute of Technology, Tiruchirappalli)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”\t4. AutoQuest (AI in Travel)” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Yajat Bhasin (Vivekanand Education Society’s Institute Of Technology (VESIT))*<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”5. Deep Learning-Based Predictive Analysis of Daylight Transitions in Photographic Images” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Rishabh Jaiswal (BMS COLLEGE OF ENGINEERING)*<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”6. Credit Card Fraud Detection Using Random Forest Algorithm” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Shivprasad Rahulwad (MIT Academy Of Engineering)*; Pranav Shriram (MIT Academy Of Engineering); Shreyas Bhoknal (MIT Academy Of Engineering)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”7. Enhancing Parkinson\u2019s Diagnosis with Deep Learning and Speech Feature” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Sayesha Sandeep (Carroll High School )*<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”8. Explainable AI for Transparent Visual Question Answering” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Aayushi Verma (Manipal Institute of Technology); P C Siddalingaswamy (Manipal Institute of Technology); Sanjay Singh (Manipal Institute of Technology)*<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”9. Knowledge Graph-Based Adaptive Learning System for Personalized Education” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Sanket Mandavgade (COEP Technological University)*<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”10. Cloud Architecture for Language Translation Model as a Service (MaaS) on Hugging Face” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Animesh Chaturvedi (Indian Institute of Information Technology Dharwad)*; Anubhav Gupta (Indian Institute of Information Technology Dharwad); Chintan Chawda ( Indian Institute of Information Technology Dharwad); Rohit Chaudhari (Indian Institute of Information Technology Dharwad)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”11. Saarthi: Ensemble AI4Bharat and Gemini for Multilingual Indian Chatbot” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Abhishek Jain (Indian Institute of Information Technology Dharwad); Avinash Tiwari (Indian Institute of Information Technology Dharwad); Prince Kumar ( Indian Institute of Information Technology Dharwad); Kartik Londhe (Indian Institute of Information Technology Dharwad); Sandeep Kumar (Indian Institute of Information Technology Dharwad); Animesh Chaturvedi (Indian Institute of Information Technology Dharwad)*<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”12. ARCANET: Intelligent Audio Copyright Detection with Wavelet Transforms and LSTMs” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Pranjali Talanki (PES UNIVERSITY )*; Chirag Reddy (PES UNIVERSITY); Tara Aasrita (PES UNIVERSITY); Shanmukha Sai (PES UNIVERSITY)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”13.\tGeneration of Photo-realistic Disguised faces from Sketches using GANs and Stable-Diffusion” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Rajasi Barapatre (MKSSS’s Cummins College of Engineering for Women, Pune)*; Ketaki Paranjape (MKSSS’s Cummins College of Engineering for Women, Pune)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”14. Image segmentation and classification of E-wastefor training robots for waste segregation.” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Prakriti Tripathi (Indian Institute of Technology Dharwad )*<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”15.\tMAARV: Multi-Agent Architecture for Runtime Verification” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Ajitava Deb (Harman International)*; Arush Jauhari (SRM Institute of Science & Technology); Mridangam Goswami (SRM Institute of Science & Technology); Dr. Usha G (SRM Institute of Science & Technology); Dr.Vinoth N.A.S. (SRM Institute of Science & Technology)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”16.\tGrid-Based Spatial Machine Learning for Mineral Prospecting in India” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Krishitha V (SSN College of Engineering)*; Sowmya P (Vellore Institute of Technology); Solaimurugan Vellaipandiyan (Centre for Development of Advanced Computing, Chennai); Susmitha S (Centre for Development of Advanced Computing, Chennai); Kavya M (Sri Ramachandra Institute of Higher Education and Research)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”17.\tAutomated Attendance Monitoring Using Group Photo-Based Face Recognition: A Deep Learning Approach for Educational Institutions” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Abhinav Garlapati (VRSEC)*<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”18.\tLeveraging AI to Predict Deep Seeded Mineral Deposits to Participate in National Resource Planning in Andhra Pradesh and Karnataka” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> kavya M (CDAC)*; Solaimurugan V (CDAC); Susmitha S (CDAC); Sowmya P ( Vellore Institute of Technology Chennai); Krishitha V ( SSN College of Engineering)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”19. CNN-Transformer Based Deep Learning for Spatio-Temporal Pattern Extraction” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Sivashalini C (K.S.R College of Engineering)*; Geetha R (K.S.R College of Engineering); Prakash N (K.S.R College of Engineering); Yoganathan A (K.S.R College of Engineering); Kalyanasundaram P (K.S.R College of Engineering); Anitha P (K.S.R College of Engineering)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”20.\tTowards Explainable Neural Networks: Investigating Image Pixels Contributions with LRP and Explainable AI” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Alekhya Gorugantu (KJ Somaiya College of Engineering)*; Paarth Kapur (KJ Somaiya College of Engineering); Rohit Londhe (KJ Somaiya College of Engineering); Nirav Gujarathi (KJ Somaiya College of Engineering); Adya Goenka (Vellore Institute of Technology)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”21. FUSE: Frequency Spatial Ensemble Attack with Dual Source Attention” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Rohit Nitwal (Indian Institute of Technology Roorkee)*; Manav Aggarwal (Indian Institute of Technology Roorkee); Sparsh Mittal (Indian Institute of Technology Roorkee)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”22.\tk-Sparse Audio Adversarial Attack: Budget-Constrained Audio Perturbations with Total Variation Regularization” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Arnav Singh (Indian Institute of Technology Kharagpur); Soikat Das (Indian Institute Of Technology Roorkee); Sparsh Mittal (Indian Institute Of Technology Roorkee)*<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”23. Detecting Damaged Road Signs with Limited Data and Targeted Augmentation” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Pankaj Singh Rathour (Indian Institute of Technology Hyderabad); Rahul Kumar (Indian Institute of Technology Hyderabad); Avinash Kushwaha (Indian Institute of Technology Hyderabad); Abdur Rahim Mohammad Forkan (Swinburne University of Technology); Prem Prakash Jayaraman (Swinburne University of Technology); Abhinav Kumar (Indian Institute of Technology Hyderabad)*<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”24. AI-Augmented Legal Research for Indian Commercial Courts: A Scalable, Explainable Framework” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Dravid Nagi (Amity University, Noida)*; Manish Ojha (Amity University, Noida); Sofia Singh (Amity University, Noida)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”25. Deep learning models for Electric Vehicle Identification from Urban CCTV Camera images” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Mrinmoy Mahto (Indian Institute of Information Technology Ranchi); Rahul Kumar Singh (IIT Madras)*; Bhargava Rama Chilukuri (Indian Institute of Technology Madras)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”26. Federated Multi-source Domain Adaptation Through Optimal Transport” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> OMAR GHANNOU (Aix-Marseille University \/ LIS Lab)*; Youn\u00e8s Bennani (Sorbonne Paris Nord University \/ LIPN)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”27. An Efficient Lightweight U-Net Architecture for Retinal Layer Segmentation in OCT Images” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Akhil Lal P. P (NIT Calicut)*; Deepthi V R (NIT Calicut); Sreelekha G. (NIT Calicut); Sudeep P. V. (NIT Calicut)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”28. A GAN-Based Data Integrity Attack on Wide-Area Damping Control Systems in the Smart Grid” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Smruti Dash (Indian Institute of Technology Dharwad)*; Kedar Khandeparkar (Indian Institute of Technology Dharwad); Gopal Gajjar (Indian Institute of Technology Bombay)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”29. Program for Artificial Intelligence Readiness (PAIR): Building and Sustaining AI\/ML Research Infrastructure for Multidisciplinary Capacity” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Gordon Gao (Johns Hopkins University); Toufeeq Syed (The University of Texas Health Science Center at Houston)*; Harlan Jones (University of North Texas Health Science Center at Fort Worth); Jennifer Ling Bagdasarian (Johns Hopkins University); Lesley Grandstaff (The University of Texas Health Science Center at Houston); D’Laney Kernan (The University of Texas Health Science Center at Houston); Jamboor Vishwanatha (University of North Texas Health Science Center at Fort Worth)<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=”off|off|off” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_heading title=”Industry Track” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_heading][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.21.0″ _module_preset=”default” custom_padding=”27px||43px|||” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_heading title=”Accepted Regular Papers” _builder_version=”4.25.1″ _module_preset=”default” title_level=”h3″ global_colors_info=”{}”][\/et_pb_heading][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”1.\tDualFormer: An Efficient Dual-domain Learning Transformer for Image Denoising” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> SHIVAM KRIPASHANKAR SINGH (Indian Institute of Technology Patna)*<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”2.\tMixed 2D\u20133D Object Recognition for Autonomous Inspection in Industrial Environments” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Stefano Melacci (University of Siena); Giacomo Nunziati (University of Siena)*; Barbara Toniella Corradini (University of Siena); Giovanni De Magistris (Baker Hughes); Marta Fiorucci (Baker Hughes); Guido Schillaci (Baker Hughes)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”\t3.\tAI Driven Virtual Mock Interviews-Specialized at Context Matching” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Raj Kumar Ayilvar (Vardhaman College of Engineering)*; Uday Kiran Makineni (Vardhaman College of Engineering); Mohan V (Vardhaman College of Engineering)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”4.\tEARMOR: Edge Device specific Assessment and Review of Multilingual Optical Character Recognition” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Anupam Purwar (Independent)*; Aryan Gupta (Sprinklr); sanskar soni (Sprinklr); Shushant K (Sprinklr); Ratnesh jamidar (Sprinklr)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”5.\tM-PACE: Mother Child Framework for Multimodal Compliance” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Anupam Purwar (Independent)*; Shreyash Verma (Sprinklr); Amit Kesari (Sprinklr); vinayak trivedi (Sprinklr); ratnesh jamidar (Sprinklr)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”6.\tQuOrA – Query Orchestration and Acceleration” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Ravi Singh (TCS Research)*; Shruti Kunde (TCS Research); Rekha Singhal (TCS Research); Manoj Nambiar (TCS Research)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”7.\tFaulty Junction Box Identification in Photovoltaic Manufacturing” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Anand Thirwani (Reliance Industries Limited); Rahul Nair (Reliance Industries Limited)*; Kedar Kulkarni (Reliance Industries Limited)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”8.\tAdaptive NOX Emissions Forecasting for Gas Turbines via Dynamic PCA-Driven Clustering” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Kamyar Zeinalipour (University of Siena)*; Laure Barriere (Baker Hughes); David Ghelardi (Baker Hughes); Marco Gori (University of Siena)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”9.\tVLMs-in-the-Wild: Bridging the Gap Between Academic Benchmarks and Enterprise Reality” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Srihari Bandarupalli (International Institute Of Information Technology Hyderabad)*; Mihir Gajera (Sprinklr); Ali Asgar Saifee (Sprinklr); Anupam Purwar (Sprinklr)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”10.\tMachine learning based GHI and solar power forecasting using satellite-based spatio-temporal features” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Amol Patil (Reliance Industries Limited)*; Kedar Kulkarni (Reliance Industries Limited)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”11.\tOptiRAG: Optimized RAG configuration under performance constraints” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> ARCHISMAN BHOWMICK (TATA CONSULTANCY SERVICES)*; REKHA SINGHAL (TCS Research)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”12.\tRecommendation of Bundles of Ancillary Products: A Conceptual Architecture” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Aakash Swami (TCS Ltd)*; Narendhar Gugulothu (TCS Ltd); Sanjay Bhat (TCS Ltd)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”13.\tMCX-Net: A Class-Specific Expert Decoder Network for Multi-Class Defect Segmentation in Photovoltaic Cells” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Anto Nigin (Reliance Industries Ltd)*; Kedar Kulkarni (Reliance Industries Ltd)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”14.\tRAFTAR-FM: Retrieval-Augmented, Feedback-Tuned Agentic Resolution for Facilities Maintenance ” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Abhijeet Pandey (Walmart global tech )*; Rishav Ranaut (Walmart global tech); Himanshu Pant (Walmart global tech)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”15.\tEstimating Rooftop Solar Energy Potential Using Image Segmentation” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Anto Nigin (Reliance Industries Ltd)*; Anand Thirwani (Reliance Industries Ltd); Amol Patil (Reliance Industries Ltd); Kedar Kulkarni (Reliance Industries Ltd)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”16.\tPerformance and Cost Benefits of Workload-Aware Heterogeneous Deployment in Modern Applications” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Ashwin Krishnan (TCS Research)*; Samarth Inamdar (TCS Research); Yash Nagda (TCS Research); Venkatesh Pasumarti (TCS Research); Manoj Nambiar (TCS Research); Rekha Singhal (TCS Research)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.21.0″ _module_preset=”default” custom_padding=”27px||43px|||” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_heading title=”Accepted Poster Papers” _builder_version=”4.25.1″ _module_preset=”default” title_level=”h3″ global_colors_info=”{}”][\/et_pb_heading][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”1.\tScalable Inference Architectures for Operationalizing AI\/ML in Enterprise Systems” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Srikanta Prasad (Salesforce India Pvt Ltd)*; Utkarsh Arora (Salesforce India Pvt Ltd); Sai Guruju (Salesforce India Pvt Ltd); Nitin Surya (Salesforce India Pvt Ltd); Ruchita Jadav (Salesforce India Pvt Ltd); Raghav Tanaji (Salesforce India Pvt Ltd)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”2.\tGreen\/Energy-Efficient AI: Strategies for Reducing Power Usage in Large-Scale Model Training” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Arpit Garg (CGI)*; Anuraj Bhosale (Arizona State University)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”3.\t Graph based Conflict Set Extraction Algorithm (G-CSEA): A novel approach to identify Infeasibility” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Saranya Darisipudi (Sprinklr); Anupam Purwar (Independent )*<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”4.\tMed-Guard: LLM based Diagnostic System with Safety Guard-rails” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Suparshva Jain (TCS, Research)*; Kunwar Zaid (TCS, Research); Amit Sangroya (TCS, Research); Lovekesh Vig (TCS, Research)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”5.\tPrescriptive Agents based on Rag for Automated Maintenance (PARAM)” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Chitranshu Harbola (Indian Institute of Technology, Madras)*; Anupam Purwar (AIGurukul)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”6.\tMind the Workflow: Unmasking the Super Agents of Today” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Anupam Purwar (Independent)*; sriram Sudheer hebbale (Sprinklr); mohit chawla (Sprinklr)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”7.\tAUTOMATIC FAKE NEWS DETECTION IN STOCK MARKETS THROUGH BIG-DATA HANDLING USING DEMAGRU” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Akhil Vaitla Janardhan (Individual)*<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”8.\tAutomated Asset Onboarding: Synergistic Integration of Specialized Computer Vision and Large Language Models for Automated Asset Information Extraction” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Sai Manikanta Mukka (Walmart Global Tech India)*; Kavya Neel Vats (Walmart Global Tech India); Abhishek Mishra (Walmart Global Tech India); Himanshu Pant (Walmart Global Tech India); Sateesh Panda (Walmart Global Tech India)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=”off|off|off” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_heading title=”Demo Track” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_heading][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.21.0″ _module_preset=”default” custom_padding=”27px||43px|||” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text disabled_on=”off|off|off” _builder_version=”4.25.1″ _module_preset=”7f63b212-a10a-4d30-afa2-e478a747ca88″ custom_margin=”||10px||false|false” header_2_font_size_phone=”33px” global_colors_info=”{}”]<\/p>\n

\u00a0Accepted Demo Track Paper<\/span><\/h3>\n

[\/et_pb_text][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”1.\tAI-Driven Elephant Detection and Alert Systems for Human-Wildlife Conflict Mitigation” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Sinchana R L, Shruthi D V<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”2.\tAI-Driven Data Governance: A Framework for Real-Time Observability, Data Quality, and Compliance” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Razak Abdul<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”3.\tBizEye: Broad-spectrum Intelligent Zone Eye for Abnormality Detection” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Anupam Borthakur, Manoj Kumar Sharma, Debanjan Chattopadhyay, Kumar P Saha<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”\t4.\tMachine Learning-Enhanced EKF for Vehicle Localization under Sparse Observations” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Adam Nabeel, Majeed Mohamed, Gopinath Selvaraj, Pappa M<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][et_pb_accordion_item title=”5. Ta Ka Di Mi: AI for Konnakkol and Rhythm Training” open=”on” _builder_version=”4.25.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

Authors:<\/strong> Skanda Anantha Murthy,\u00a0<\/span>Mohith Velivela<\/span>\u00a0, and\u00a0<\/span>Balaji N K<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”6.\tDermatica: A Mobile Solution for Preliminary Skin Disease Diagnosis” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Sangavi V, Abishake S, Dhayal S R<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”7.\tGenSenSim: Generative Sensor Response Simulator” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Anish Datta, Soma Bandyopadhyay, Subhasri Chatterjee, Tapas Chakravarty, Arpan Pal<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”8.\t PolicyBot: An Interactive Demo for Reliable Question Answering over Policy Documents” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Gautam Nagarajan, Sudarsun Santhiappan, Omir Kumar<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=”on|on|on” _builder_version=”4.21.0″ _module_preset=”default” custom_padding=”27px||29px|||” disabled=”on” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”1.\tTASCA++ : A multi-agentic tool to scalably accelerate ML pipelines” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:\u00a0<\/strong>Bibek Paul (Chennai Mathematical Institute); ARCHISMAN BHOWMICK (TATA CONSULTANCY SERVICES)*; Mayank Mishra (TCS); Sarthak Gupta (IIIT Nagpur); Rekha Singhal (TCS) <\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”2.\tLeafSense: A Portable, Low-Cost, Low-Power Plant Disease Diagnostic Device Using TinyML” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:\u00a0<\/strong>Riya Samanta (Indian Institute of Technology, Kharagpur)*; Bidyut Saha (Indian Institute of Technology Kharagpur); Soumya Kanti Ghosh (Indian Institute of Technology Kharagpur, India) <\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=”on|on|on” _builder_version=”4.25.1″ _module_preset=”default” disabled=”on” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Workshop-GenAI<\/h2>\n

[\/et_pb_text][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”1. Methodology for Quality Assurance Testing of LLM-based Multi-Agent Systems” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Isha Shamim (Tata Consultancy Services Limited)*; Rekha Singhal (TCS)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”2. Bridging the Gap: Synthetic Data Augmentation through Inversion and Distribution Matching for Few-shot Learning” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Yunsung Chung (Tulane University)*; Janet Wang (Tulane University); Jihun Hamm (Tulane University)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”3. Question-Answering System in Computer Science” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Harshit Verma (BITS Pilani Hyderabad); M Bhargav (BITS Pilani Hyderabad); Ritvik – (BITS Pilani Hyderabad); Chetana Dr Gavankar (BITS Pilani)*; Prajna Devi Upadhyay (BITS Pilani Hyderabad)<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

Accepted PapersAuthors: Rajat Soni (IIT Patna)*Authors: Mohit Nathani (Indian Institute of Technology)*Authors: Maram Vardhan (NIT Patna)*; Maram rao (Swarnandhra Institute of Engineering and Technology)Authors: Samarth Sarin (BlackRock)*; Dhagash Mehta (BlackRock); Bhaskarjit Sarmah (BlackRock); Lovepreet Singh (BlackRock)Authors: Domenico Tupputi (University of Pisa); Davide Bacciu (Univeristy of Pisa)*Authors: Ankit Sharma (Indian Institute of Technology Hyderabad)*; Ranjitha K […]<\/p>\n","protected":false},"author":7,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"\n

This is an example page. It's different from a blog post because it will stay in one place and will show up in your site navigation (in most themes). Most people start with an About page that introduces them to potential site visitors. It might say something like this:<\/p>\n\n\n\n

\n

Hi there! I'm a bike messenger by day, aspiring actor by night, and this is my website. I live in Los Angeles, have a great dog named Jack, and I like pi\u00f1a coladas. (And gettin' caught in the rain.)<\/p>\n<\/blockquote>\n\n\n\n

...or something like this:<\/p>\n\n\n\n

\n

The XYZ Doohickey Company was founded in 1971, and has been providing quality doohickeys to the public ever since. Located in Gotham City, XYZ employs over 2,000 people and does all kinds of awesome things for the Gotham community.<\/p>\n<\/blockquote>\n\n\n\n

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