WORKSHOPS & TUTORIALS   Sessions 9:00 AM – 10:30 AM

Workshop # 1 Gen AI

Workshop # 2 AI in Space workshop   Keynote Address: Prof. Brandon Lucia 0900 AM – 1000 AM

Tutorial # 1 Manish Gupta (Microsoft, India) Deep Learning Methods for Query Auto Completion

Tea/Coffee Break 10:30 AM – 11:00 AM

Sessions (11:00 AM – 12:30 PM)

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 Davide Bacciu (Università di Pisa, Italy) Deep Learning for Graphs

Lunch Break 12:30 PM – 1:30 PM

Sessions (1:30 PM – 3:00 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: Sunandan Chakraborty, Sydney Oghenetega Anuyah (Indiana University Indianapolis, USA) Causal Inference from Text: A Tutorial on Methods and Applications

Tea/Coffee & Networking Break 3:00 PM – 5:00 PM

AIMLSystems 2024 Inauguration and Opening Remarks (9:00 AM – 9:30 AM) General Co-Chairs TPC Co-Chairs Steering Committee Co-Chairs Conference Inauguration by the President, LSU Prof. William Tate   Keynote Talk # 1 Prof. Dan Roth Eduardo D. Glandt Distinguished Professor of Computer and Information Science at the University of Pennsylvania , USA 9:30 AM – 10:30 AM

Tea/Coffee Break 10:30 AM – 11:00 AM

Paper Session (11:00 AM – 1:00 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 (1:00 PM – 2:00 PM)

Keynote Talk # 2 Deepak Bansal Corporate Vice President, Microsoft Azure, USA 2:00 PM – 3:00 PM

Paper Session (3:00 PM – 4:00 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 Real-time Data

Posters

Tea/Coffee Break 4:00 PM – 4:15 PM

Research Invited Talk # 1 Sriraam Natarajan, UT Dallas, USA
Human Allied Relational Deep Learning Systems (4:15 PM – 4:45 PM)   Panel Discussion # 1 Topic: AI for HPC or HPC for AI - Two sides of the same coin? Panelists: 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) (5:00 PM – 6:15 PM)   AIMLSystems’24 WELCOME RECEPTION Venue: TBD 6:30 PM Onward

Keynote Talk # 3   Prof. Michael Jordan Pehong Chen Distinguished Professor, Dept. of Electrical Engineering and Computer Science and Dept. of Statistics University of California, Berkeley, USA   9 AM – 10 AM

Tea/Coffee Break 10:00 AM – 10:30 AM

Paper Session (10:30 AM – 1:00 PM)

Industry Track   Invited Talk # 1 (10:30 AM– 11:00 AM) Dr. Marina Thottan Amazon Web Services (AWS), USA   Invited Talk # 2 (11:00 AM – 11:30 AM) Dr. Vijay Gurbani Vail Systems, USA   Paper Track (11:40 AM – 1:00 PM) Session 1: AI and Machine Learning Applications 1. Aggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models, Liu, Fengchen; Liu, Fengchen; Jung, Jordan; Feinstein, Wei; D'Ambrogia, Jeff; Jung, Gary 2. Weighted Retriever Ensembles for Video-to-Product Ads Curation, Ahemad, Faizan; Mohammed, Abdulla; Farfade, Sachin 3. AI Enhanced Ticket Management System for optimized Support Jain, Shubham; Gupta, Amit; Neha, Kumari 4. VidyaRANG: Conversational Learning Based Platform powered by Large Language Model Harbola, Chitranshu; Purwar, Anupam

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 (1:00 PM – 2:00 PM)

Keynote Talk # 4 Prof. Kavita Bala Dean, Ann S. Bowers College of Computing and Information Science, Cornell University, USA 2:00 pm - 3:00 pm

Paper Session (3:00 PM – 4:00 PM)

Industry Track Session 2: Gaming, Culture, and Security 1. Assessing the Impact of Upselling in online fantasy gaming, Chaudhary, Aayush. 2. CultureVo: The Serious Game of Utilizing Gen AI for Enhancing Cultural Intelligence, Agarwala, Ajita; Purwar, Anupam, Nissankarao, Viswanadhasai 3. Remote Attestation and Secure AI inSystems-on-Chip/Systems-in-Package Mandyam, Giridhar   Invited Talk # 3 Dr. Ashutosh Dutta, JHU Information Security Institute, USA 4:00 PM – 4:20 PM

Posters

Tea/Coffee Break 4:20 PM – 4:45 PM

Keynote Talk # 5   Prof. Shree K. Nayar T. C. Chang Professor of Computer Science, Columbia University, USA 4:45 pm - 5:45 pm   Research Invited Talk # 2 Prof. Amitava Das Research Associate Professor, AI Institute, University of South Carolina, USA Civilizing AI: Examining Emerging Capabilities and Mitigating Potential Risk of Foundation Models 5:45 PM – 6:15 PM

AIMLSystems’24 Award Ceremony & Banquet 7:00 PM Onward   COCKTAILS and DINNER   7:00 PM – 10:00 PM Announcing AIMLSystems 2025

Panel Discussion # 2    Topic: AI and Energy   9:00 AM – 10:00 AM

Research Track   10:00 AM – 11:30 AM   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. VETT: VectorDB-Enabled Transfer-Learning for Time-Series Forecasting

Poster Session

Tea/Coffee Break 11:30 AM – 11:45 Noon

Research Track 11:45 AM – 1:00 PM 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 Title: " Ethics & Governance imperatives to make AI truly meaningful for the humanity”   An Informal meetup of AI/ML Experts   Convenor: Kishore Narang

Lunch Break 1:00 PM – 2:00 PM

Research Track 2:00 PM – 3:30 PM 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

Poster Session

Research Invited Talk # 3 Surya Kallumadi, USA E-commerce Search from an ML Systems perspective (3:30 PM – 4:00 PM)

Tea/Coffee Break 4:00 PM – 4:15 PM

Research Track 4:15 PM – 5:30 PM 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

Poster Session

Conference Closure Summary & Wrap-Up by the General and TPC Chairs Announcing AIMLSystems’25 Bangalore, India