CLICK HERE TO REGISTER NOW !!! on or before 25 March 2025 (11:59 pm IST)

Delhi SP/ML Pre-Conference Workshop

Crossroads of Machine Learning and Signal Processing

3 & 4 April 2025, IIT Delhi, India

ABSTRACT: Traditional signal processing techniques often rely on models that accurately depict the system under consideration. However, the complexity and dynamic nature of modern systems limit the effectiveness of these model-based approaches. In this context, machine learning techniques offer data-driven alternatives that do not require explicit prior model information. The proposed pre-ICASSP workshop aims to explore various aspects of learning-based signal processing. Topics will include high-dimensional statistics, quickest detection, sampling theory, online learning, tensor signal processing, stochastic filtering, and multi-agent signal processing and learning.

VENUE AND DATES: This two-day workshop, scheduled for April 03 – 04, 2025 will be held at Aryabhatt Auditorium, Block A, Research and Innovation Park, Indian Institute of Technology, Delhi, preceding the IEEE ICASSP 2025 conference. The technical program will feature 1-2 tutorials and approximately 10-15 research talks by leading researchers from around the world. The workshop is designed to disseminate knowledge, foster idea exchanges, and stimulate new collaborations within the research community. It will differ from ICASSP satellite workshops in Hyderabad in its extended duration and broader scope, promoting cross-domain collaboration.

General Chairs:

Arpan Chattopadhyay
Indian Institute of Technology, Delhi

Kumar Vijay Mishra
US Army Research Laboratory

Steering Committee:

Muralidhar Rangaswamy
US Air Force Research Laboratory

Ananthram Swami
US Army Research Laboratory

Raghu Raj
US Naval Research Laboratory

KVS Hari
Indian Institute of Science, Bengaluru

Finance Chair:

Shobha Sundar Ram
Indraprastha Institute of Information Technology, Delhi

SPS Liaison & Local Arrangements Chair:

Monika Aggarwal
Indian Institute of Technology, Delhi

Registration Chair:

Chandrashekhar Rai
Indian Institute of Technology, Delhi

Day 1
Day 2

Day 1

Day 1: Thursday, 3rd April 2025
Time slot	Event
09:00 - 09:10 am	Welcome Arpan Chattopadhyay, Indian Institute of Technology Delhi
09:10 - 9:50 am	Multiview signal processing using linear and nonlinear canonical correlation analysis Nicholas Sidiropolous, University of Virginia
09:50 - 10:30 am	Copula: From Signal Processing to AI/ML Pramod Varshney, Syracuse University
10:30 - 10:50 am	Tea Break
10:50 - 11:30 am	Graph Constructions for Machine Learning Applications: New Insights and Algorithms Antonio Ortega, University of Southern California
11:30 am - 12:10 pm	Kernel-driven Self-Supervision for Learning over Large-scale Graphs Georgios B. Giannakis, University of Minnesota
12:10 - 2:30 pm	Lunch Break
02:30 - 03:10 pm	Audio Processing in the Age of LLMs Dinesh Manocha, University of Maryland, College Park
03:10 - 3:50 pm	Optimized recalibration for pretrained machine learning models Alfred O. Hero, University of Michigan
03:50 - 4:30 pm	Hierarchical Reinforcement Learning Brian M. Sadler, University of Texas at Austin
04:30 - 05:00 pm	Tea Break
05:00 - 5:40 pm	ONRG’s Perspectives on AI/ML: Roadmap and Grand Challenges Joel Goodman, Office of Naval Research Global
05:40 - 6:20 pm	Multimodal Generative AI and Machine Learning Raghuveer Rao, US DEVCOM Army Research Laboratory
06:20 - 6:30 pm	Concluding Remarks Monika Aggarwal, Indian Institute of Technology Delhi

Day 2

Day 2: Friday, 4th April 2025
Time	Event
09:00 - 9:10 am	Welcome Shobha Sundar Ram, Indraprastha Institute of Information Technology Delhi
09:10 - 9:50 am	Deep Unfolding in Wireless Transceiver Design Lee Swindlehurst, University of California, Irvine
09:50 - 10:30 am	Byzantine-resilient Alternating GD and Minimization (AltGDmin) for Partly-Decoupled Federated Low Rank Matrix Learning Namrata Vaswani, Iowa State University
10:30 - 10:50 am	Tea Break
10:50 - 11:30 am	Analysis of overfitting and modeling error tradeoff in learning systems using misspecified performance bounds Joseph Tabrikian, Ben Gurion University
11:30 am - 2:30 pm	Lunch Break
02:30 - 4:00 pm	[Panel Discussion] Signal Processing and Machine Learning - Opportunities and Challenges Panelists: Karen Egiazarian, Tampere University Chandra Murthy, Indian Institute of Science M. R. Bhavani Shankar, University of Luxembourg Parag Singla, Indian Institute of Technology Delhi Tapan Kumar Gandhi, Indian Institute of Technology Delhi Lipika Dey, Ashoka University Moderator: Kumar Vijay Mishra, US DEVCOM Army Research Laboratory
04:00 - 4:20 pm	Tea Break
04:20 - 5:20 pm	[Tutorial- Part I] Cognitive Radar - From Adaptation to Inverse Reinforcement Learning Muralidhar Rangaswamy, US Air Force Research Laboratory Vikram Krishamurthy, Cornell University
05:20 - 5:30 pm	Q&A on the Tutorial
05:30 - 6:30 pm	[Tutorial- Part II] Cognitive Radar - From Adaptation to Inverse Reinforcement Learning Muralidhar Rangaswamy, US Air Force Research Laboratory Vikram Krishamurthy, Cornell University
06:30 - 6:50 pm	Q&A on the Tutorial
06:50 - 7:00 pm	Concluding Remarks Kumar Vijay Mishra, United States DEVCOM Army Research Laboratory

Registration closes on 25 March, 2025 at 11:59 pm IST.