{"id":3572,"date":"2023-09-28T09:09:58","date_gmt":"2023-09-28T03:39:58","guid":{"rendered":"https:\/\/www.aimlsystems.org\/2023\/?page_id=3572"},"modified":"2025-10-03T18:23:53","modified_gmt":"2025-10-03T12:53:53","slug":"accepted-demo-track","status":"publish","type":"page","link":"https:\/\/www.aimlsystems.org\/2026\/accepted-demo-track\/","title":{"rendered":"Accepted Paper-Demo Track"},"content":{"rendered":"

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\u00a0Accepted Demo Paper<\/span><\/h1>\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=”4.21.0″ _module_preset=”default” custom_padding=”27px||43px|||” 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″ locked=”off”][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

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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 _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

\u00a0Showcase From Sponsors<\/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. Troubleshooting chatbot, Lavanya Tekumalla from Amazon ” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_accordion_item][\/et_pb_accordion][et_pb_image src=”https:\/\/www.aimlsystems.org\/2025\/wp-content\/uploads\/2025\/08\/Screenshot-2025-08-29-at-09.23.54.png” title_text=”Screenshot 2025-08-29 at 09.23.54″ url=”https:\/\/www.amazon.in\/” url_new_window=”on” align=”center” _builder_version=”4.25.1″ _module_preset=”default” width=”250px” width_last_edited=”off|phone” max_width=”500px” custom_padding=”8px|0px|8px||true|false” global_colors_info=”{}”][\/et_pb_image][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. The Future of Computing: A TCS Research Perspective” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

<\/b><\/div>\n
Abstract:\u00a0\u00a0<\/b>Enterprise computing workloads are expanding rapidly, driven not only by AI\/ML but also by demanding applications in science, engineering, and finance. GenAI workloads, in particular, must be carefully engineered to meet stringent requirements for accuracy, latency, and throughput on classical computing platforms. With a growing ecosystem of heterogeneous hardware, it is critical to deploy workloads intelligently to optimize performance and control costs.<\/div>\n
At\u00a0TCS<\/span>\u00a0Research, we explore emerging computing paradigms\u2014many of which are poised to become mainstream within the next few years\u2014that offer significant efficiency gains for specialized tasks. We also investigate hybrid approaches that combine classical and quantum algorithms to tackle problems considered intractable. Our booth showcases\u00a0this vision for the future of computing and highlights innovations that will shape the next generation of enterprise systems.<\/div>\n

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\u00a0Accepted Demo Paper\u00a0Accepted Demo Track PaperAuthors: Sinchana R L, Shruthi D VAuthors: Razak AbdulAuthors: Anupam Borthakur, Manoj Kumar Sharma, Debanjan Chattopadhyay, Kumar P SahaAuthors: Adam Nabeel, Majeed Mohamed, Gopinath Selvaraj, Pappa MAuthors: Skanda Anantha Murthy,\u00a0Mohith Velivela\u00a0, and\u00a0Balaji N KAuthors: Sangavi V, Abishake S, Dhayal S RAuthors: Anish Datta, Soma Bandyopadhyay, Subhasri Chatterjee, Tapas Chakravarty, Arpan […]<\/p>\n","protected":false},"author":5,"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

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-3572","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/pages\/3572","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/comments?post=3572"}],"version-history":[{"count":26,"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/pages\/3572\/revisions"}],"predecessor-version":[{"id":7484,"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/pages\/3572\/revisions\/7484"}],"wp:attachment":[{"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/media?parent=3572"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}