CT Scan for Your Network: Topology Inference from End-to-end Measurements

Prof. Ting He, Pennsylvania State University

Towards a Theory of Exploration in Continuous-Time Reinforcement Learning

Prof. Harsha Honnappa, Purdue University

Sequential Clustering of Data Streams from Unknown Distributions

Prof. Srikrishna Bhashyam, IIT Madras

Scalability in Low Power Wide Area Networks

Prof. Bhuvana Krishnaswamy, University of Wisconsin-Madison

Community detection on Block Models with Geometric Kernels

Dr. Vinay Kumar B. R., INRIA Sophia Antipolis - Méditerranée

AI-Assisted Teaching: Where We Stand and What Lies Ahead

Dr. Deepak Sekar, Co-Founder and CEO, Prof Jim

Collaborative Decision-Making under Adversarial and Information Constraints

Prof. Aritra Mitra, NC State University

Online Learning for Network Resource Allocation

Dr. Tareq Si Salem, Northeastern University, Boston.

Applications of algebraic complexity to unsupervised learning

Dr. Neeraj Kayal, Microsoft Research Lab, Bengaluru

Multi-AP Coordination in Wi-Fi Networks using Centrally Controlled Overlay Time-Sliced Scheduling

Prof. Anurag Kumar, IISc Bengaluru

Providing High Reliability in the Google Global Network

Dr. Ranjita Bhagwan, Google Cloud

Programmable Networks: Hardware, Software, and Applications

Prof. Anirudh Sivaraman, NYU

Moving Towards 6G : Transformation and Realization

Dr. Hemant Kumar Rath, TCS Research

Understanding Internet Resilience to Planetary-Scale Risks

Almost-Optimal Best Restless Markov Arm Identification with Fixed Confidence

Modeling and simulation paradigms for building scalable Digital Twins

PAC Mode Estimation using PPR Martingale Confidence Sequences

The Robustness of Blockchains to Network Delays

SaFeR – A Safety Framework for e-Scooter Riders

An overview of robotics research at Google Deepmind.

Dynamic Pricing and Matching for Online Marketplaces

Order-optimal convergence rates with adaptive SGD

A Sanov-type theorem for unimodular marked random graphs and its applications

A tale of tails: Asymptotics and Non-asymptotics in Load Balancing

Missing Mass and Optimal Discovery

The unreasonable effectiveness of mathematics in large scale deep learning

Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits

Multiparty Interactive Coding over Networks of Intersecting Broadcast Links

Reliable Object Detection and Identification in Adverse Conditions

Fair Clustering: Notations and Algorithms

Mean-Field Control for Restless Bandits and Weakly Coupled MDPs

Trends and Challenges in Multi-cloud Networking and Observability.

Learning Optimal Beam Directions in Next-generation Wireless Networks: A Fixed-Budget Stochastic Bandit Approach

Aarogya Setu, How India saw Covid

Converse for Quantum Fault-tolerance

The Power of Adaptivity in Representation Learning:- from Meta-Learning to Federated Learning

Short Packet Communication under Random Arrival Of Data

Research Challenges in Network Slicing in 55G and Beyond Its Implications on Rural Connectivity

Leading the core-technology innovations for 6G

Fast, Flexible, and Intelligent Next-Generation Networks and Systems

Age-Distortion Tradeoffs

Finite time analysis of temporal difference learning with linear function approximation:- Tail averaging and regularisation

RF Beyond Communication:- New Opportunities for Human Sensing with mmWave

Coding Schemes For Input-Constrained Channels

UGIF :- UI Grounded Instruction Following

Getting the Best of Both Worlds (IoT and Edge) using Hierarchical Inference

Heterogeneity-Aware Algorithms for Federated Optimization

Delay Bounds for Quantum Communication Procedures under the Repeat-Until-Success Framework.

Mean Field Control (MFC) as an Approximation for Cooperative Multi Agent Reinforcement Learning (MARL)