Schedule

All timings are in US Central Time

Workshops & Tutorials

Session #1

09:00 AM to 10:30 AM

Workshop #1

Gen AI

Workshop #2

AI in Space workshop

Keynote Address: Prof. Brandon Lucia
09:00 AM – 10:00 AM

Tutorial #1

Deep Learning Methods for Query Auto Completion

Manish Gupta
Microsoft, India

Tea/Coffee Break

10:30 AM to 11:00 AM

Session #2

11:00 AM to 12:30 AM

Workshop #1

Gen AI

Workshop #2

Plenary-1 Address: Steve Chien (virtual)
11:00 AM – 11:30 AM

Paper presentations:
11:45 AM – 12:30 PM

Tutorial #2

Deep Learning for Graphs

Davide Bacciu
Università di Pisa, Italy

Lunch Break

12:30 PM to 01:30 PM

Session #3

01:30 PM to 03:00 PM

Workshop #1

Gen AI

Workshop # 2

Plenary-2 Address: Manik Bali
1:30 PM – 2:00 PM

Paper presentations:
2:15 PM – 3:00 PM

Tutorial # 3:

Causal Inference from Text: A Tutorial on Methods and Applications


Sunandan Chakraborty, Sydney Oghenetega Anuyah
Indiana University Indianapolis, USA

Tea/Coffee & Networking Break

03:00 PM to 05:00 PM

 

AIMLSystems 2024 Inauguration and Opening Remarks
09:00 AM to 09:30 AM

General Co-Chairs
TPC Co-Chairs
Steering Committee Co-Chairs

Conference Inauguration by the President, LSU
Prof. William Tate

Keynote #1
09:30 AM – 10:30 AM

Prof. Dan Roth
Eduardo D. Glandt Distinguished Professor of Computer and Information Science at the University of Pennsylvania, USA

Tea/Coffee Break
10:30 AM to 11:00 AM

Session #1
11:00 AM to 01:00 PM

 Research Track

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

Posters

Lunch Break
01:00 PM to 02:00 PM

Keynote #2
02:00 PM to 03:00 PM

Deepak Bansal
Corporate Vice President, Microsoft Azure, USA

Session #2
03:00 PM to 04:00 PM

Research Track

  1. Selective Graph Convolutional Network for Efficient Routing
  2. Towards Forecasting Bus Arrival Thorough A Model Based On GNN+LSTM Using GTFS and Realtime Data

Posters

Tea/Coffee Break
04:00 PM to 04:15 PM

Research Invited Talk #1
04:15 PM to 04:45 PM

Human Allied Relational Deep Learning Systems

Sriraam Natarajan
UT Dallas, USA

Panel Discussion #1
05:00 PM to 06:15 PM

AI for HPC or HPC for AI — Two sides of the same coin?

Prof. Kavita Bala (Cornell, USA)
Prof. Hartmut Kaiser (LSU, USA)
Prof. Kanad Basu (UT Dallas, USA)
Dr. Vijay Gurbani (Vail Systems, USA)
Kishore Narang (Narnix Technolabs, India)

AIMLSystems 2024 WELCOME RECEPTION

06:30 PM onwards

 

  • Keynote #3
    09:00 AM to 10:00 AM

    Prof. Michael Jordan
    Pehong Chen Distinguished Professor
    Dept. of Electrical Engineering and Computer Science, and Dept. of Statistics
    University of California, Bekeley, USA

    Tea/Coffee Break
    10:00 AM to 10:30 AM

    Session #1
    10:30 AM to 01:00 PM

    Industry Track

    Industry Invited Talk #1
    10:30 AM– 11:00 AM

    Dr. Marina Thottan
    Amazon Web Services (AWS), USA

    Industry Invited Talk #2
    11:00 AM – 11:30 AM

    Dr. Vijay Gurbani
    Vail Systems, USA

     

    Session: AI and Machine Learning Applications
    11:40 AM – 1:00 PM

    1. Aggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models
    2. Weighted Retriever Ensembles for Video-to-Product Ads Curation
    3. AI Enhanced Ticket Management System for optimized Support
    4. VidyaRANG: Conversational Learning Based Platform powered by Large Language Model

    Demos & Exhibits

    TASCA++: A multi-agentic tool to scalably accelerate ML pipelines

    LeafSense: A Portable, Low-Cost, Low-Power Plant Disease Diagnostic Device Using TinyML

    Lunch Break
    01:00 PM to 02:00 PM

    Keynote #4
    02:00 PM to 03:00 PM

    Prof. Kavita Bala
    Dean, Ann S. Bowers College of Computing and Information Science
    Cornell University, USA

    Session #2
    03:00 PM to 04:00 PM

    Industry Track

    Session: Gaming, Culture, and Security

    1. Assessing the Impact of Upselling in online fantasy gaming
    2. CultureVo: The Serious Game of Utilizing Gen AI for Enhancing Cultural Intelligence
    3. Remote Attestation and Secure AI inSystems-on-Chip/Systems-in-Package

    Posters

    Industry Invited Talk #3
    04:00 PM to 04:20 PM

    Dr. Ashutosh Dutta
    JHU Information Security Institute, USA

    Tea/Coffee Break
    04:20 PM to 04:45 PM

    Keynote #5
    04:45 PM to 05:45 PM

    Prof. Shree K. Nayar
    T.C. Chang Professor of Computer Science
    Columbia University, USA

    Research Invited Talk #2
    05:45 PM to 06:15 PM

    Civilizing AI: Examining Emerging Capabilities and Mitigating Potential Risk of Foundation Models

    Prof. Amitava Das
    Research Associate Professor. AI Institute
    University of South Carolina, USA

    AIMLSystems 2024 Award Ceremony & Banquet
    07:00 PM onwards

    COCKTAILS and Dinner
    07:00 PM to 10:00 PM

    Announcing AIMLSystems 2025

     

  • Panel Discussion #2
    09:00 AM to 10:00 AM

    AI and Energy

    Session #1
    10:00 AM to 11:30 PM

    Research Track

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

      Posters

      Tea/Coffee Break
      11:30 AM to 11:45 AM

      Session #2
      11:45 AM to 01:00 PM

      Research Track

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

      Special Birds of a Feather Session

      Ethics & Governance imperatives to make AI truly meaningful for the humanity

      Convenor: Kishore Narang

      Lunch Break
      01:00 PM to 02:00 PM

      Session #3
      02:00 PM to 03:00 PM

      Research Track

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

      Posters

      Research Invited Talk #3
      03:30 PM to 04:00 PM

      E-commerce Search from an ML Systems perspective

      Surya Kallumadi
      USA

      Tea/Coffee Break
      04:00 PM to 04:15 PM

      Session #4
      04:15 PM to 05:30 PM

      Research Track

      1. Tab2Graph: Transforming Heterogeneous Tables as Graphs
      2. Visual Perception Transformer: Robust image understanding on unseen transformations across wide-ranging dataset sizes
      3. BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks
      		Posters

      Conference Closure

      Summary & Wrap-Up by the General and TPC Chairs

      Announcing AIMLSystems 2025
      Bangalore, India