Schedule

All timings are in US Central Time

Workshops & 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 Space workshop

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

Dalton J. Woods Auditorium (Room
1001), at the Energy, Coast, and
Environment, Building

Tutorial #1

Deep Learning Methods for Query Auto Completion

Manish Gupta
Microsoft, India

Conference Room
Center for Energy
Studies, 1119, at the
Energy, Coast, and
Environment, Building

Paper Presentation
Title: Methodology for Quality Assurance Testing of LLM-based Multi-Agent Systems

Authors: Isha Shamim and Rekha Singhal

10:15-10:45am

Rotunda, Energy, Coast, and Environment, Building

Tea/Coffee Break

10:30 AM to 11:00 AM

Paper Presentation
Title: Bridging the Gap: Synthetic Data Augmentation through Inversion and Distribution Matching for Few-shot Learning
Authors: Yunsung Chung, Janet Wang and Jihun Hamm

11:00 – 11:30 AM

Energy, Coast, and
Environment Conference

Center

(Room 1019at the Energy, Coast, and
Environment, Building)

Session #2

11:00 AM to 12:30 AM

Dalton J. Woods Auditorium (Room
1001), at the Energy, Coast, and
Environment, Building

Workshop #1

Gen AI

Prof. Aron Culotta
Title: Co-creating Civic AI: Partnering Academia with Local Communities

11:30 – 12:30 PM

Energy, Coast, and
Environment Conference
Center

(Room 1019at the Energy, Coast, and
Environment, Building)

Workshop #2

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

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

Dalton J. Woods Auditorium (Room
1001), at the Energy, Coast, and
Environment, Building

Tutorial #2

Deep Learning for Graphs

Davide Bacciu
Università di Pisa, Italy

Conference Room
Center for Energy
Studies, 1119, at the
Energy, Coast, and
Environment, Building

Lunch Break

12:30 – 1:30 PM

Lunch Break

12:30 PM to 01:30 PM

Lunch Break

1:00 – 2:00 PM

Session #3

01:30 PM to 03:00 PM

Workshop #1

1:30pm – 2:30pm

Prof Jihun Hamm, Tulane University

Title: Can synthetic images be better than real images?

Gen AI

Tutorial on RLHF

Presenter: Hiteshi Sharma

2:30 – 3:30 PM

Energy, Coast, and
Environment Conference
Center

(Room 1019at the Energy, Coast, and
Environment, Building)

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

Message By the Provost – Prof. Roy Haggerty

Message By the Vice President of the Graduate School – Prof. Keena Arbuthnot

Message by Vice President of Research – Prof. Robert Twilley

Dalton J. Woods Auditorium (Room 1001), at the Energy, Coast, and Environment, Building

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

Rotunda, Energy, Coast, and Environment,Building

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

Dalton J. Woods Auditorium (Room 1001), at the
Energy, Coast, and Environment, Building

Posters

Rotunda, Energy, Coast, and Environment, Building

Lunch Break
01:00 PM to 02:00 PM

Rotunda, Energy, Coast, and Environment, Building

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

Deepak Bansal
Corporate Vice President, Microsoft Azure, USA

Dalton J. Woods Auditorium (Room 1001), at the Energy, Coast, and Environment, Building

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

Dalton J. Woods Auditorium (Room 1001), at the
Energy, Coast, and Environment, Building

Posters

Rotunda, Energy, Coast, and Environment, Building

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

Rotunda, Energy, Coast, and Environment, Building

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

Human Allied Relational Deep Learning Systems

Sriraam Natarajan
UT Dallas, USA

Dalton J. Woods Auditorium (Room 1001), at the Energy, Coast, and Environment, Building

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

Rotunda, Energy, Coast, and Environment, Building

 

  • 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, Berkeley, USA

    Dalton J. Woods Auditorium (Room 1001), at the Energy, Coast, and Environment, Building

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

    Rotunda, Energy, Coast, and Environment, Building

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

    Industry Track (Chairman : Davide)

    Industry Invited Talk #1
    10:00 AM– 10:30 AM (20 mins presentation + 10 mins Q & A)

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

    Industry Invited Talk #2
    10:30 AM – 11:00 AM (20 mins presentation + 10 mins Q & A)

    Large Language Models in Telecommunications: Is the Network Finally “Intelligent”?

    Dr. Vijay Gurbani
    Vail Systems, USA

    Presentation #1
    11:00 AM – 11:20 AM (15 mins presentation + 5 mins Q & A)

    Aggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models

    Fengchen Liu

    Presentation #2
    11:20 AM – 11:40 AM (15 mins presentation + 5 mins Q & A)

     AI Enhanced Ticket Management System for optimized Support

    Amit Gupta

    Presentation #3
    11:40 AM – 12:00 AM (15 mins presentation + 5 mins Q & A)

    Efficient and verifiable responses using Retrieval Augmented Generation (RAG)

    Henry Liang

    Presentation #4
    12:00 AM – 12:20 PM (15 mins presentation + 5 mins Q & A)

    Assessing the Impact of Upselling in Online Fantasy Sports

    Aayush Choudhary

    Presentation #5
    12:20 PM – 12:40 PM (15 mins presentation + 5 mins Q & A)

    Remote Attestation and Secure AI in Systems-on-Chip/Systems-in-Package

    Giridhar Mandyam

    Dalton J. Woods Auditorium (Room 1001), at the
    Energy, Coast, and Environment, Building

    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

    Energy, Coast, and Environment
    Conference Center
    (Room 1019at the Energy, Coast, and
    Environment, Building)

    Lunch Break
    01:00 PM to 02:00 PM

    Rotunda, Energy, Coast, and Environment Building

    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

    Dalton J. Woods Auditorium (Room 1001), at the Energy, Coast, and Environment, Building

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

    Industry Track (Chairman: Rekha)

    Sponsor Talk # 1

    3:00 PM – 3:30 PM (20 mins presentation + 10 mins Q & A)

    Reducing Excess and Shortage: Leveraging Artificial Intelligence to Streamline Store Remodeling Supply Chain

    Ram Angadala, Van Johansen

    Walmart Global Tech, USA

    Sponsor Talk #2

    3:30PM – 4:00PM (20 mins presentation + 10 mins Q & A)

    Solutions at the Speed of Relevance: Transforming the National Security Enterprise for the AI Age


    Dr. Ellen Chapin, Syed Faraz

    Rhombus Power

    Posters

    Rotunda, Energy, Coast, and Environment, Building

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

    Dr. Ashutosh Dutta
    JHU Information Security Institute, USA

    Dalton J. Woods Auditorium (Room 1001), at the
    Energy, Coast, and Environment, Building

    Tea/Coffee Break
    04:30 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

    Dalton J. Woods Auditorium (Room 1001), at the Energy, Coast, and Environment, Building

    AIMLSystems 2024 Award Ceremony & Banquet
    07:00 PM onwards

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

    Announcing AIMLSystems 2025

    Rotunda, Energy, Coast, and Environment, Building

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

    AI and Energy

    Capital Chamber Room 329, LSU Student Union

    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

      Capital Chamber Room 329, LSU Student Union

      Special Birds of a Feather Session

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

      Convenor: Kishore Narang

      Capital Chamber Room 329, LSU Student Union

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

      Capital Chamber Room 329, LSU Student Union

      Special Birds of a Feather Session

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

      Convenor: Kishore Narang

      Capital Chamber Room 329, LSU Student Union

      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

      Capital Chamber Room 329, LSU Student Union

      Special Birds of a Feather Session

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

      Convenor: Kishore Narang

      Capital Chamber Room 329, LSU Student Union

      Lunch Break
      01:00 PM to 02:00 PM

      Capital Chamber Room 329, LSU Student Union

      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

      Capital Chamber Room 329, LSU Student Union

      Posters

      Capital Chamber Room 329, LSU Student Union

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

      E-commerce Search from an ML Systems perspective

      Surya Kallumadi
      USA

      Capital Chamber Room 329, LSU Student Union

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

      Capital Chamber Room 329, LSU Student Union

      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

      Capital Chamber Room 329, LSU Student Union

      Posters

      Capital Chamber Room 329, LSU Student Union

      Conference Closure

      Summary & Wrap-Up by the General and TPC Chairs

      Announcing AIMLSystems 2025
      Bangalore, India

      Capital Chamber Room 329, LSU Student Union