29 Oct 2026 | CNI Workshop on Combinatorial GamesA two-day workshop featuring invited talks and game sessions on combinatorial game theory and related areas. |
01 Oct 2026 | The Awardees of Cisco FellowshipCNI Awarded Fellowship to 8 PhD and 6 MTech Students |
20 Jul 2026 | 6th CNI Summer School 2026This summer school focused on model approximation techniques in Markov Decision Processes (MDPs) and Partially Observable Markov Decision Processes (POMDPs). |
14 Jul 2026 | SPARC Workshop on Distributed Learning and OptimizationA one-day workshop featuring invited talks on distributed learning, optimization, and related areas. |
26 Oct 2026, 4:00 PM — 5:00 PM
Online on Zoom Zoom link: https://us06web.zoom.us/j/83388976389?pwd=XcpO3GhLxsR14a7SVbPx33HQQa1jbt.1
Dear All, Networks Seminar, supported by the Centre for Networked Intelligence, is a technical discussion forum in topics including but not limited to computer networks, machine learning, signal processing, and information theory. The seminar series has a webpage hosted at https://cni.iisc.ac.in/seminars/. You are invited to the following seminar held as part of this series. Title: Influence Enhancement in Opinion Dynamics Using Edge Modification: A Kron Reduction-Based Approach Speaker: Prof. Twinkle Tripathy, Assistant Professor, IIT Kanpur Time: 04:00 PM - 05:00 PM (IST) Date: 26 October 2026 Venue: Online on Zoom Zoom link: https://us06web.zoom.us/j/83388976389?pwd=XcpO3GhLxsR14a7SVbPx33HQQa1jbt.1 Zoom Meeting ID: 833 8897 6389, Pass Code: NSSIISc Webpage Link: https://cni.iisc.ac.in/seminars/2026-10-26/ <https://cni.iisc.ac.in/seminars/2026-10-26/> Abstract: With the emergence of online social networks as a primary platform for advertising and advocacy, enhancing a user’s influence has become of significant interest. In this talk, we will address this problem under the Friedkin-Johnsen opinion dynamics model, wherein stubborn agents influence the opinions of other agents in the network. We propose to use edge modifications, specifically those which mimic the mechanism of recommendations in social networks. In such scenarios, topological properties of the network play a key role in increasing the influence of a desired stubborn agent. Hence, we will show that there exist topology-based conditions that identify the edge modifications that always increase the influence of a desired stubborn agent. Interestingly, the impact of the chosen edge modifications is robust to changes in parameters such as stubbornness and the interaction weights. Finally, we will demonstrate the effectiveness of our approach over the Erdos–Renyi random graph. Bio: Twinkle Tripathy is currently an Assistant Professor in the Department of Electrical Engineering of IIT Kanpur. She received a Dual Degree of M.Tech. and Ph.D. at Systems & Control Engineering, IIT Bombay in Dec. 2016. Thereafter, she served at the School of Electrical & Electronic Engineering, NTU, Singapore and with the Faculty of Aerospace Engineering, Technion - Israel Institute of Technology as a post-doctoral fellow till Aug. 2020. Her research interests broadly include control and guidance of autonomous systems and opinion dynamics. She is a senior member of IEEE and is the recipient of the Best Woman Professional Award in the early career category awarded by the IEEE India Council under the Pralhad P. Chhabria Awards. More details: https://sites.google.com/view/twinkletripathy/home ALL ARE WELCOME. Thank you, CNI Seminar Series Organizing Committee.
We are racing towards a connected world where every individual and device contribute to and benefit from the network. However, our data collection surpasses our ability to extract valuable knowledge. To achieve networked intelligence, we need a holistic approach involving real-time sensing, communication, analytics, and more. The centre aims to develop next-gen networking solutions for smart cities, IoT, data exchanges, and society's benefit.



