{"id":7015,"date":"2025-08-24T18:02:25","date_gmt":"2025-08-24T12:32:25","guid":{"rendered":"https:\/\/www.aimlsystems.org\/2025\/?page_id=7015"},"modified":"2025-08-24T18:02:25","modified_gmt":"2025-08-24T12:32:25","slug":"accepted-posters","status":"publish","type":"page","link":"https:\/\/www.aimlsystems.org\/2025\/accepted-posters\/","title":{"rendered":"Accepted Posters"},"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” hover_enabled=”0″ header_2_font_size_phone=”33px” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

Accepted Posters<\/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=”{}” disabled_on=”on|on|on” disabled=”on”][\/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_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=”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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][et_pb_accordion_item title=”\t4. AutoQuest (AI in Travel)” open=”on” _builder_version=”4.25.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][et_pb_accordion_item title=”6. Credit Card Fraud Detection Using Random Forest Algorithm” open=”on” _builder_version=”4.25.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][et_pb_accordion_item title=”8. Explainable AI for Transparent Visual Question Answering” open=”on” _builder_version=”4.25.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][et_pb_accordion_item title=”15.\tMAARV: Multi-Agent Architecture for Runtime Verification” open=”on” _builder_version=”4.25.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][et_pb_accordion_item title=”26. Federated Multi-source Domain Adaptation Through Optimal Transport” open=”on” _builder_version=”4.25.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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%” hover_enabled=”0″ border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}” sticky_enabled=”0″][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” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/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=”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_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 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.\tEfficient and verifiable responses using Retrieval Augmented Generation (RAG)” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]Authors:\u00a0<\/strong>Henry Liang (Vail Systems), Yu Zhou (Vail Systems), Vijay K. Gurbani (Vail Systems).[\/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.\tAssessing the Impact of Upselling in Online Fantasy Sports” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Aayush Chaudhary<\/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.\tAI Enhanced Ticket Management System for optimized Support” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Shubham Jain (Hughes Systique)*; Amit Gupta (Hughes Systique); Kumari Neha (Hughes Systique)<\/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.\tAggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Fengchen Liu (Lawrence Berkeley National Laboratory)*; Fengchen Liu (University of California, Berkeley); Jordan Jung (Lawrence Berkeley National Laboratory); Wei Feinstein (Lawrence Berkeley National Laboratory); Jeff D’Ambrogia (Lawrence Berkeley National Laboratory); Gary Jung (Lawrence Berkeley National Laboratory)<\/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.\tRemote Attestation and Secure AI in Systems-on-Chip\/Systems-in-Package” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Authors:<\/strong> Giridhar Mandyam (Mediatek)<\/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_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 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 PostersAuthors: Ayesha Taranum (presidency university)*Authors: Amit Dhanda (Amazon)*Authors: 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)Authors: Yajat Bhasin (Vivekanand Education Society’s Institute Of Technology (VESIT))*Authors: Rishabh Jaiswal (BMS COLLEGE OF ENGINEERING)*Authors: Shivprasad Rahulwad […]<\/p>\n","protected":false},"author":10,"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

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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

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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

As a new WordPress user, you should go to your dashboard<\/a> to delete this page and create new pages for your content. Have fun!<\/p>\n","_et_gb_content_width":"","footnotes":""},"class_list":["post-7015","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.aimlsystems.org\/2025\/wp-json\/wp\/v2\/pages\/7015","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aimlsystems.org\/2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aimlsystems.org\/2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2025\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2025\/wp-json\/wp\/v2\/comments?post=7015"}],"version-history":[{"count":2,"href":"https:\/\/www.aimlsystems.org\/2025\/wp-json\/wp\/v2\/pages\/7015\/revisions"}],"predecessor-version":[{"id":7018,"href":"https:\/\/www.aimlsystems.org\/2025\/wp-json\/wp\/v2\/pages\/7015\/revisions\/7018"}],"wp:attachment":[{"href":"https:\/\/www.aimlsystems.org\/2025\/wp-json\/wp\/v2\/media?parent=7015"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}