{"id":5646,"date":"2024-09-04T15:39:22","date_gmt":"2024-09-04T10:09:22","guid":{"rendered":"https:\/\/www.aimlsystems.org\/2024\/?page_id=5646"},"modified":"2024-10-11T11:15:49","modified_gmt":"2024-10-11T05:45:49","slug":"schedule","status":"publish","type":"page","link":"https:\/\/www.aimlsystems.org\/2024\/schedule\/","title":{"rendered":"Schedule"},"content":{"rendered":"

[et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” admin_label=”Header” _builder_version=”4.21.0″ _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=”||22px||false|false” custom_padding_tablet=”||22px||false|false” custom_padding_phone=”||0px||false|false” collapsed=”on” global_colors_info=”{%22gcid-1bcf785a-50e1-437b-b09f-65567babc1de%22:%91%22background_color%22%93}”][et_pb_row column_structure=”2_3,1_3″ custom_padding_last_edited=”on|phone” _builder_version=”4.21.0″ _module_preset=”default” custom_padding_tablet=”” custom_padding_phone=”||0px||false|false” global_colors_info=”{}”][et_pb_column type=”2_3″ _builder_version=”4.19.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.25.1″ _module_preset=”7f63b212-a10a-4d30-afa2-e478a747ca88″ custom_margin=”||12px||false|false” header_2_font_size_phone=”33px” global_colors_info=”{}”]<\/p>\n

Schedule<\/span><\/h2>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.19.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/05\/ai-icon-01.png” title_text=”ai-icon-01″ align=”center” disabled_on=”on|on|off” _builder_version=”4.21.0″ _module_preset=”default” custom_margin=”12px|||||” global_colors_info=”{}”][\/et_pb_image][\/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=”#FFFFFF” background_enable_image=”off” background_blend=”overlay” background_enable_pattern_style=”on” background_pattern_color=”rgba(0,0,0,0.1)” background_pattern_size=”custom” background_pattern_width=”6px” background_pattern_height=”4px” min_height=”2203.1px” custom_padding=”3.1%||40px||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=”off” 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_accordion _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_accordion_item title=”All timings are in US Central Time” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_accordion_item][\/et_pb_accordion][et_pb_tabs active_tab_background_color=”#1c1b3a” inactive_tab_background_color=”#0b91c6″ _builder_version=”4.25.1″ _module_preset=”default” tab_text_color=”#FFFFFF” background_color=”rgba(0,0,0,0)” hover_enabled=”0″ border_radii=”on|11px|11px|11px|11px” locked=”off” global_colors_info=”{%22gcid-f1f9244b-c8ab-43e1-95c3-c0bdf69ac7b5%22:%91%22active_tab_background_color%22%93}” sticky_enabled=”0″][et_pb_tab title=”Tuesday, 08 October 2024″ _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Workshops & Tutorials<\/span><\/h4>\n\n\n\n\n\n\n\n\n\n\n\n
Session #1<\/strong><\/span><\/p>\n

09:00 AM to 10:30 AM<\/strong><\/span><\/td>\n<\/tr>\n

Workshop #1<\/strong><\/span><\/p>\n

Gen AI<\/strong><\/span><\/p>\n

<\/strong><\/span><\/p>\n

Paper Presentation<\/strong><\/span>
\nTitle: Question-Answering System in Computer Science<\/strong>
\nAuthors: Harshit Verma, M Bhargav, Ritvik, Chetana Gavankar and Prajna Upadhyay<\/strong><\/p>\n

9:45 – 10:15 AM<\/span><\/p>\n

Energy, Coast, and
\nEnvironment Conference
\nCenter<\/p>\n

(Room 1019at the Energy, Coast, and
\nEnvironment, Building)<\/td>\n

Workshop #2<\/strong><\/span><\/p>\n

AI in Space workshop<\/strong><\/span><\/p>\n

Keynote Address: Prof. Brandon Lucia<\/strong>
\n<\/em>09:00 AM \u2013 10:00 AM<\/span><\/p>\n

Dalton J. Woods Auditorium (Room
\n1001), at the Energy, Coast, and
\nEnvironment, Building<\/p>\n<\/td>\n

Tutorial #1<\/strong><\/strong><\/span><\/p>\n

Deep Learning Methods for Query Auto Completion
\n<\/strong><\/em><\/span><\/p>\n

Manish Gupta<\/strong>
\nMicrosoft, India<\/em><\/span><\/p>\n

Conference Room
\nCenter for Energy
\nStudies, 1119, at the
\nEnergy, Coast, and
\nEnvironment, Building<\/p>\n<\/td>\n<\/tr>\n

\n

Paper Presentation<\/strong><\/span>
\nTitle: Methodology for Quality Assurance Testing of LLM-based Multi-Agent Systems
\n<\/strong>
\nAuthors: Isha Shamim and Rekha Singhal<\/strong><\/p>\n

10:15-10:45am<\/span><\/p>\n

Rotunda, Energy, Coast, and Environment, Building<\/p>\n<\/td>\n

\n

Tea\/Coffee Break<\/strong><\/span><\/p>\n

10:30 AM to 11:00 AM<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Paper Presentation<\/strong><\/span>
\nTitle: Bridging the Gap: Synthetic Data Augmentation through Inversion and Distribution Matching for Few-shot Learning<\/strong>
\nAuthors: Yunsung Chung, Janet Wang and Jihun Hamm<\/strong>\n<\/p>\n

11:00 – 11:30 AM<\/span><\/p>\n

Energy, Coast, and
\nEnvironment Conference<\/p>\n

Center<\/p>\n

(Room 1019at the Energy, Coast, and
\nEnvironment, Building)<\/td>\n

Session #2<\/strong><\/span><\/p>\n

11:00 AM to 12:30 AM<\/strong><\/span><\/p>\n

Dalton J. Woods Auditorium (Room
\n1001), at the Energy, Coast, and
\nEnvironment, Building<\/p>\n<\/td>\n<\/tr>\n

\n

Workshop #1<\/strong><\/span><\/p>\n

Gen AI<\/strong><\/span><\/p>\n

Prof. Aron Culotta<\/strong><\/span>
\nTitle: Co-creating Civic AI: Partnering Academia with Local Communities<\/strong>
\n<\/strong>\n<\/p>\n

11:30 – 12:30 PM<\/span><\/p>\n

Energy, Coast, and
\nEnvironment Conference
\nCenter<\/p>\n

(Room 1019at the Energy, Coast, and
\nEnvironment, Building)<\/td>\n

Workshop #2<\/strong><\/span><\/p>\n

Plenary-1 Address: Steve Chien (virtual)<\/strong>
\n<\/em>11:00 AM \u2013 11:30 AM<\/span><\/p>\n

Paper presentations:<\/strong>
\n<\/em>11:45 AM \u2013 12:30 PM<\/span><\/p>\n

Dalton J. Woods Auditorium (Room
\n1001), at the Energy, Coast, and
\nEnvironment, Building<\/p>\n<\/td>\n

Tutorial #2<\/strong><\/span><\/p>\n

Deep Learning for Graphs
\n<\/strong><\/em><\/span><\/p>\n

Davide Bacciu<\/strong>
\nUniversit\u00e0 di Pisa, Italy<\/em>
\n<\/strong><\/span><\/p>\n

Conference Room
\nCenter for Energy
\nStudies, 1119, at the
\nEnergy, Coast, and
\nEnvironment, Building<\/p>\n<\/td>\n<\/tr>\n

\n

Lunch Break<\/strong><\/span><\/p>\n

12:30 – 1:30 PM<\/span><\/p>\n<\/td>\n

\n

Lunch Break
\n<\/strong><\/span><\/p>\n

12:30 PM to 01:30 PM
\n<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Lunch Break<\/strong><\/span><\/p>\n

1:00 – 2:00 PM<\/span><\/p>\n<\/td>\n

Session #3<\/strong><\/span><\/p>\n

01:30 PM to 03:00 PM<\/strong><\/span><\/td>\n<\/tr>\n

\n

Workshop #1<\/strong><\/span><\/p>\n

1:30pm – 2:30pm<\/strong><\/span><\/p>\n

Prof Jihun Hamm, Tulane University<\/strong><\/span><\/p>\n

Title: Can synthetic images be better than real images?
\n<\/strong><\/span><\/p>\n

Gen AI<\/strong><\/span><\/p>\n

Tutorial on RLHF<\/strong><\/span><\/p>\n

Presenter: Hiteshi Sharma<\/strong><\/span><\/p>\n

2:30 – 3:30 PM<\/span><\/p>\n

Energy, Coast, and
\nEnvironment Conference
\nCenter<\/p>\n

(Room 1019at the Energy, Coast, and
\nEnvironment, Building)<\/td>\n

Workshop # 2<\/strong><\/span><\/p>\n

Plenary-2 Address: Manik Bali<\/em>
\n<\/strong>1:30 PM \u2013 2:00 PM<\/span><\/p>\n

Paper presentations:<\/em>
\n<\/strong>2:15 PM – 3:00 PM<\/span><\/td>\n

Tutorial # 3:<\/strong><\/span><\/p>\n

Causal Inference from Text: A Tutorial on Methods and Applications<\/strong><\/span><\/p>\n


\n<\/strong>Sunandan Chakraborty, Sydney Oghenetega Anuyah<\/strong>
\nIndiana University Indianapolis, USA<\/em>
\n<\/strong><\/span><\/td>\n<\/tr>\n

\n

Tea\/Coffee & Networking Break
\n<\/strong><\/span><\/p>\n

03:00 PM to 05:00 PM<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/span>[\/et_pb_tab][et_pb_tab title=”Wednesday, 09 October 2024″ _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

AIMLSystems 2024 Inauguration and Opening Remarks
<\/strong>09:00 AM to 09:30 AM<\/strong><\/span>\u00a0<\/p>\n

General Co-Chairs<\/em>
TPC Co-Chairs<\/em>
Steering Committee Co-Chairs<\/em>
<\/span><\/p>\n

Conference Inauguration by the President, LSU –\u00a0<\/strong><\/span>Prof. William Tate<\/em><\/strong><\/span><\/p>\n

Message By the Provost – <\/strong><\/span>Prof. Roy Haggerty<\/strong><\/em><\/p>\n

Message By the Vice President of the Graduate School – <\/strong><\/span>Prof. Keena Arbuthnot<\/strong><\/em><\/p>\n

Message by Vice President of Research – <\/strong><\/span>Prof. Robert Twilley<\/em><\/strong><\/p>\n

<\/em><\/span><\/p>\n

Dalton J. Woods Auditorium (Room 1001), at the Energy, Coast, and Environment, Building<\/em><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Keynote #1
09:30 AM \u2013 10:30 AM<\/strong><\/span>\u00a0<\/span><\/p>\n

Prof<\/em><\/strong>. Dan Roth<\/strong>
<\/em>Eduardo D. Glandt Distinguished Professor of Computer and Information Science at the University of Pennsylvania, USA<\/em><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Tea\/Coffee Break
<\/strong>10:30 AM to 11:00 AM<\/strong><\/strong><\/span><\/p>\n

Rotunda, Energy, Coast, and Environment,Building<\/span><\/em><\/p>\n<\/td>\n<\/tr>\n

\n

Session #1
<\/strong>11:00 AM to 01:00 PM<\/strong><\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

\u00a0Research Track
<\/strong><\/span><\/p>\n

    \n
  1. KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional Elements<\/span><\/li>\n
  2. Federated On-Device Learning of Integer-Based Convolutional Neural Networks<\/span><\/li>\n
  3. ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis<\/span><\/li>\n
  4. Sparse Reservoir Topologies for Physical Implementations of Random Oscillators Networks<\/span><\/li>\n
  5. Inversion of Satellite Measurements of CO2 Concentrations using Deep Learning<\/span><\/span><\/li>\n<\/ol>\n

    Dalton J. Woods Auditorium (Room 1001), at the
    Energy, Coast, and Environment, Building<\/span><\/em><\/p>\n<\/td>\n

\n

Posters
<\/strong><\/span><\/p>\n

Rotunda, Energy, Coast, and Environment, Building<\/em><\/p>\n<\/td>\n<\/tr>\n

\n

Lunch Break
<\/strong>01:00 PM to 02:00 PM<\/strong><\/strong><\/span><\/p>\n

Rotunda, Energy, Coast, and Environment, Building<\/em><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Keynote #2
02:00 PM to 03:00 PM
<\/strong><\/span><\/p>\n

Deepak Bansal<\/strong>
Corporate Vice President, Microsoft Azure, USA<\/em>
<\/em><\/span><\/p>\n

Dalton J. Woods Auditorium (Room 1001), at the Energy, Coast, and Environment, Building<\/em><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Session #2
03:00 PM to 04:00 PM
<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Research Track
<\/strong><\/span><\/p>\n

    \n
  1. Selective Graph Convolutional Network for Efficient Routing<\/span><\/li>\n
  2. Towards Forecasting Bus Arrival Thorough A Model Based On GNN+LSTM Using GTFS and Realtime Data<\/span><\/li>\n<\/ol>\n

    Dalton J. Woods Auditorium (Room 1001), at the<\/em>
    Energy, Coast, and Environment, Building<\/em><\/p>\n<\/td>\n

\n

Posters
<\/strong><\/span><\/p>\n

Rotunda, Energy, Coast, and Environment, Building<\/em><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Tea\/Coffee Break
04:00 PM to 04:15 PM
<\/strong><\/span><\/p>\n

Rotunda, Energy, Coast, and Environment, Building<\/em><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Research Invited Talk #1
04:15 PM to 04:45 PM<\/strong><\/span><\/p>\n

Human Allied Relational Deep Learning Systems
<\/strong><\/strong><\/em><\/span><\/p>\n

Sriraam Natarajan<\/strong>
UT Dallas, USA
<\/em><\/em><\/strong><\/span><\/p>\n

Dalton J. Woods Auditorium (Room 1001), at the Energy, Coast, and Environment, Building<\/em><\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Panel Discussion #1
05:00 PM to 06:15 PM<\/strong><\/span><\/p>\n

AI for HPC or HPC for AI — Two sides of the same coin?
<\/strong><\/strong><\/span><\/p>\n

Prof. Kavita Bala (Cornell, USA)<\/em>
Prof. Hartmut Kaiser (LSU, USA)<\/em>
Prof. Kanad Basu (UT Dallas, USA)<\/em>
Dr. Vijay Gurbani (Vail Systems, USA)<\/em>
Kishore Narang (Narnix Technolabs, India)<\/em>
<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

AIMLSystems 2024 WELCOME RECEPTION
<\/strong><\/span><\/p>\n

06:30 PM onwards<\/strong><\/span><\/p>\n

Rotunda, Energy, Coast, and Environment, Building<\/em><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/span><\/p>\n

[\/et_pb_tab][et_pb_tab title=”Thursday, 10 October 2024″ _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

\n
    \n
  • \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    <\/strong><\/span><\/p>\n

    Keynote #3
    \n09:00 AM to 10:00 AM
    \n<\/strong><\/span><\/p>\n

    Prof. Michael Jordan<\/strong>
    \nPehong Chen Distinguished Professor
    \nDept. of Electrical Engineering and Computer Science, and Dept. of Statistics
    \nUniversity of California, Berkeley, USA
    \n<\/em><\/em><\/span><\/p>\n

    Dalton J. Woods Auditorium (Room 1001), at the Energy, Coast, and Environment, Building<\/p>\n<\/td>\n<\/tr>\n

    \n

    Tea\/Coffee Break
    \n<\/strong>10:00 AM to 10:30 AM<\/strong><\/strong><\/span><\/p>\n

    Rotunda, Energy, Coast, and Environment, Building<\/p>\n<\/td>\n<\/tr>\n

    \n

    Session #1
    \n<\/strong>10:30 AM to 01:00 PM<\/strong><\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n

    \n

    Industry Track (Chairman : Davide)
    \n<\/strong><\/span><\/p>\n

    Industry Invited Talk #1
    \n<\/strong>10:00 AM\u2013 10:30 AM (20 mins presentation + 10 mins Q & A)<\/span><\/p>\n

    Dr. Marina Thottan<\/em><\/strong><\/span>
    \nAmazon Web Services (AWS), USA<\/em><\/span><\/p>\n

    Industry <\/strong>Invited Talk #2
    \n<\/strong>10:30 AM \u2013 11:00 AM (20 mins presentation + 10 mins Q & A)<\/span><\/p>\n

    Large Language Models in Telecommunications: Is the Network Finally “Intelligent”?
    \n<\/span><\/p>\n

    Dr. Vijay Gurbani<\/em><\/strong><\/span>
    \nVail Systems, USA<\/em><\/span><\/p>\n

    Presentation #1
    \n<\/strong>11:00 AM \u2013 11:20 AM (15 mins presentation + 5 mins Q & A)<\/span><\/p>\n

    Aggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models
    \n<\/span><\/p>\n

    Fengchen Liu
    \n<\/em><\/strong><\/span><\/p>\n

    Presentation #2
    \n<\/strong>11:20 AM \u2013 11:40 AM (15 mins presentation + 5 mins Q & A)<\/span><\/p>\n

    \u00a0AI Enhanced Ticket Management System for optimized Support<\/span><\/p>\n

    <\/span>Amit Gupta
    \n<\/em><\/strong><\/span><\/p>\n

    Presentation #3
    \n<\/strong>11:40 AM \u2013 12:00 AM (15 mins presentation + 5 mins Q & A)<\/span><\/p>\n

    Efficient and verifiable responses using Retrieval Augmented Generation (RAG)
    \n<\/span><\/p>\n

    Henry Liang
    \n<\/em><\/strong><\/span><\/p>\n

    Presentation #4
    \n<\/strong>12:00 AM \u2013 12:20 PM (15 mins presentation + 5 mins Q & A)<\/span><\/p>\n

    Assessing the Impact of Upselling in Online Fantasy Sports
    \n<\/span><\/p>\n

    Aayush Choudhary
    \n<\/em><\/strong><\/span><\/p>\n

    Presentation #5
    \n<\/strong>12:20 PM \u2013 12:40 PM (15 mins presentation + 5 mins Q & A)<\/span><\/p>\n

    Remote Attestation and Secure AI in Systems-on-Chip\/Systems-in-Package
    \n<\/span><\/p>\n

    Giridhar Mandyam<\/em><\/strong><\/span><\/p>\n

    Dalton J. Woods Auditorium (Room 1001), at the
    \nEnergy, Coast, and Environment, Building<\/p>\n<\/td>\n

    		\n

    Demos & Exhibits
    \n<\/strong><\/span><\/p>\n

    TASCA++: A multi-agentic tool to scalably accelerate ML pipelines
    \n<\/span><\/p>\n

    LeafSense: A Portable, Low-Cost, Low-Power Plant Disease Diagnostic Device Using TinyML<\/strong><\/span><\/p>\n

    Energy, Coast, and Environment
    \nConference Center
    \n(Room 1019at the Energy, Coast, and
    \nEnvironment, Building)<\/p>\n<\/td>\n<\/tr>\n

    \n

    Lunch Break
    \n<\/strong>01:00 PM to 02:00 PM<\/strong><\/strong><\/span><\/p>\n

    Rotunda, Energy, Coast, and Environment Building<\/p>\n<\/td>\n<\/tr>\n

    \n

    Keynote #4
    \n02:00 PM to 03:00 PM
    \n<\/strong><\/span><\/p>\n

    Prof. Kavita Bala<\/strong>
    \nDean, Ann S. Bowers College of Computing and Information Science
    \nCornell University, USA<\/em>
    \n<\/em><\/span><\/p>\n

    Dalton J. Woods Auditorium (Room 1001), at the Energy, Coast, and Environment, Building<\/p>\n<\/td>\n<\/tr>\n

    \n

    Session #2
    \n03:00 PM to 04:00 PM
    \n<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n

    \n

    Industry Track (Chairman: Rekha)<\/strong><\/span><\/p>\n

    Sponsor Talk # 1<\/b><\/p>\n

    3:00 PM \u2013 3:30 PM (20 mins presentation + 10 mins Q & A)<\/span><\/p>\n

    Reducing Excess and Shortage: Leveraging Artificial Intelligence to Streamline Store Remodeling Supply Chain<\/p>\n

    Ram Angadala, Van Johansen<\/p>\n

    Walmart Global Tech, USA<\/p>\n

    Sponsor Talk #2<\/strong><\/p>\n

    3:30PM – 4:00PM (20 mins presentation + 10 mins Q & A)<\/span><\/p>\n

    Solutions at the Speed of Relevance: Transforming the National Security Enterprise for the AI Age<\/p>\n


    \nDr. Ellen Chapin, Syed Faraz<\/strong>
    \nRhombus Power<\/span>
    \n<\/strong><\/span><\/p>\n<\/td>\n

    		\n

    Posters
    \n<\/strong><\/span><\/p>\n

    Rotunda, Energy, Coast, and Environment, Building<\/p>\n<\/td>\n<\/tr>\n

    \n

    Industry Invited Talk #3
    \n04:00 PM to 04:20 PM<\/strong><\/span><\/p>\n

    Dr. Ashutosh Dutta<\/strong>
    \nJHU Information Security Institute, USA
    \n<\/em><\/strong><\/span><\/p>\n

    Dalton J. Woods Auditorium (Room 1001), at the
    \nEnergy, Coast, and Environment, Building<\/p>\n<\/td>\n<\/tr>\n

    \n

    Tea\/Coffee Break
    \n04:30 PM to 04:45 PM
    \n<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n

    \n

    Keynote #5
    \n04:45 PM to 05:45 PM<\/strong><\/span><\/p>\n

    Prof. Shree K. Nayar<\/strong>
    \nT.C. Chang Professor of Computer Science
    \nColumbia University, USA
    \n<\/em><\/em><\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n

    \n

    Research Invited Talk #2
    \n05:45 PM to 06:15 PM<\/strong><\/span><\/p>\n

    Civilizing AI: Examining Emerging Capabilities and Mitigating Potential Risk of Foundation Models<\/strong><\/span><\/p>\n

    Prof. Amitava Das
    \n<\/em><\/strong>Research Associate Professor. AI Institute
    \nUniversity of South Carolina, USA<\/em>
    \n<\/span><\/p>\n

    Dalton J. Woods Auditorium (Room 1001), at the Energy, Coast, and Environment, Building<\/p>\n<\/td>\n<\/tr>\n

    \n

    AIMLSystems 2024 Award Ceremony & Banquet
    \n<\/strong>07:00 PM onwards<\/strong><\/span><\/p>\n

    COCKTAILS and Dinner
    \n<\/strong>07:00 PM to 10:00 PM<\/strong><\/span><\/p>\n

    Announcing AIMLSystems 2025<\/strong><\/span><\/p>\n

    Rotunda, Energy, Coast, and Environment, Building<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    <\/span><\/li>\n<\/ul>\n<\/div>\n

    [\/et_pb_tab][et_pb_tab title=”Friday, 11 October 2024″ _builder_version=”4.25.1″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

    \n
      \n
    • \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
      \n

      Panel Discussion #2
      \n09:00 AM to 10:00 AM
      \n<\/strong><\/span><\/p>\n

      AI and Energy<\/strong>
      \n<\/em><\/em><\/span><\/p>\n

      Capital Chamber Room 329, LSU Student Union<\/p>\n<\/td>\n<\/tr>\n

      \n

      Session #1
      \n<\/strong>10:00 AM to 11:30 PM<\/strong><\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n

      \n

      Research Track<\/strong><\/span><\/p>\n

        \n
      1. Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting<\/span><\/li>\n
      2. GPU Acceleration for Markov Chain Monte Carlo sampling<\/span><\/li>\n
      3. TinySV: Speaker Verification in TinyML with On-device Learning<\/span><\/li>\n
      4. 4. VETT: VectorDB-Enabled Transfer-Learning for Time-Series Forecasting<\/span>\n
          <\/ol>\n<\/li>\n<\/ol>\n

          Capital Chamber Room 329, LSU Student Union<\/p>\n<\/td>\n

      		\n

      Special Birds of a Feather Session
      \n<\/strong><\/span><\/p>\n

      <\/strong><\/span><\/p>\n

      Ethics & Governance imperatives to make AI truly meaningful for the humanity<\/strong><\/span><\/p>\n

      Convenor: Kishore Narang<\/strong><\/em><\/span><\/p>\n

      Capital Chamber Room 329, LSU Student Union<\/p>\n<\/td>\n<\/tr>\n

      \n

      Tea\/Coffee Break
      \n11:30 AM to 11:45 AM
      \n<\/strong><\/strong><\/strong><\/span><\/p>\n

      Capital Chamber Room 329, LSU Student Union<\/p>\n<\/td>\n

      		\n

      Special Birds of a Feather Session
      \n<\/strong><\/span><\/p>\n

      <\/strong><\/span><\/p>\n

      Ethics & Governance imperatives to make AI truly meaningful for the humanity<\/strong><\/span><\/p>\n

      Convenor: Kishore Narang<\/strong><\/em><\/span><\/p>\n

      Capital Chamber Room 329, LSU Student Union<\/p>\n<\/td>\n<\/tr>\n

      \n

      Session #2
      \n11:45 AM to 01:00 PM<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n

      \n

      Research Track
      \n<\/strong><\/span><\/p>\n

        \n
      1. ERFC: Happy Customers with Emotion Recognition and Forecasting in Conversation in Call Centers<\/span><\/li>\n
      2. Self Supervised LLM Customizer(SSLC): Customizing LLMs on Unlabeled Data to Enhance Contextual Question Answering<\/span><\/li>\n
      3. ORCHID \u2013 Offline RL for Control of HVAC in Buildings using Historical and Low-Fidelity Simulation Data<\/span><\/li>\n<\/ol>\n

        Capital Chamber Room 329, LSU Student Union<\/p>\n<\/td>\n

      		\n

      Special Birds of a Feather Session
      \n<\/strong><\/span><\/p>\n

      <\/strong><\/span><\/p>\n

      Ethics & Governance imperatives to make AI truly meaningful for the humanity<\/strong><\/span><\/p>\n

      Convenor: Kishore Narang<\/strong><\/em><\/span><\/p>\n

      Capital Chamber Room 329, LSU Student Union<\/p>\n<\/td>\n<\/tr>\n

      \n

      Lunch Break
      \n01:00 PM to 02:00 PM
      \n<\/strong><\/span><\/p>\n

      Capital Chamber Room 329, LSU Student Union<\/p>\n<\/td>\n<\/tr>\n

      \n

      Session #3
      \n02:00 PM to 03:00 PM
      \n<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n

      \n

      Research Track<\/strong><\/strong><\/span><\/p>\n

        \n
      1. TinyML-Powered Gesture Wizardry: Low-Cost, Low-Power Two-Stage CNN for Static Hand Gesture Classification on MCU in Appliance Control<\/span><\/li>\n
      2. Trans-ARG: Predicting Antibiotic Resistance Genes with a Transformer-Based Model and Pretrained Protein Language Model<\/span><\/li>\n
      3. KG-DTA: A knowledge graph-based meta-path learning framework to predict drug-target binding affinity<\/span><\/li>\n<\/ol>\n

        Capital Chamber Room 329, LSU Student Union<\/p>\n<\/td>\n

      		\n

      Posters
      \n<\/strong><\/span><\/p>\n

      Capital Chamber Room 329, LSU Student Union<\/p>\n<\/td>\n<\/tr>\n

      \n

      Research Invited Talk #3
      \n03:30 PM to 04:00 PM
      \n<\/strong><\/span><\/p>\n

      E-commerce Search from an ML Systems perspective<\/strong><\/span><\/p>\n

      Surya Kallumadi<\/strong>
      \nUSA
      \n<\/em><\/strong><\/span><\/p>\n

      Capital Chamber Room 329, LSU Student Union<\/p>\n<\/td>\n<\/tr>\n

      \n

      Tea\/Coffee Break
      \n04:00 PM to 04:15 PM
      \n<\/strong><\/span><\/p>\n

      Capital Chamber Room 329, LSU Student Union<\/p>\n<\/td>\n<\/tr>\n

      \n

      Session #4
      \n04:15 PM to 05:30 PM<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n

      Research Track<\/strong><\/span><\/p>\n
        \n
      1. Tab2Graph: Transforming Heterogeneous Tables as Graphs<\/span><\/li>\n
      2. Visual Perception Transformer: Robust image understanding on unseen transformations across wide-ranging dataset sizes<\/span><\/li>\n
      3. BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks<\/span><\/li>\n<\/ol>\n

        Capital Chamber Room 329, LSU Student Union<\/p>\n<\/td>\n

      		Posters<\/strong><\/span><\/p>\n

      Capital Chamber Room 329, LSU Student Union<\/p>\n<\/td>\n<\/tr>\n

      Conference Closure
      \n<\/strong><\/span><\/p>\n

      Summary & Wrap-Up by the General and TPC Chairs<\/strong><\/span><\/p>\n

      Announcing AIMLSystems 2025
      \nBangalore, India<\/strong><\/span><\/p>\n

      Capital Chamber Room 329, LSU Student Union<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u00a0<\/span><\/li>\n<\/ul>\n<\/div>\n

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

      ScheduleWorkshops & Tutorials Session #1 09:00 AM to 10:30 AM Workshop #1 Gen AI Paper Presentation Title: Question-Answering System in Computer Science Authors: Harshit Verma, M Bhargav, Ritvik, Chetana Gavankar and Prajna Upadhyay 9:45 – 10:15 AM Energy, Coast, and Environment Conference Center (Room 1019at the Energy, Coast, and Environment, Building) Workshop #2 AI in […]<\/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":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-5646","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.aimlsystems.org\/2024\/wp-json\/wp\/v2\/pages\/5646","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aimlsystems.org\/2024\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aimlsystems.org\/2024\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2024\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2024\/wp-json\/wp\/v2\/comments?post=5646"}],"version-history":[{"count":75,"href":"https:\/\/www.aimlsystems.org\/2024\/wp-json\/wp\/v2\/pages\/5646\/revisions"}],"predecessor-version":[{"id":5915,"href":"https:\/\/www.aimlsystems.org\/2024\/wp-json\/wp\/v2\/pages\/5646\/revisions\/5915"}],"wp:attachment":[{"href":"https:\/\/www.aimlsystems.org\/2024\/wp-json\/wp\/v2\/media?parent=5646"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}