Centre for Networked Intelligence

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/<https://us06web.zoom.us/j/83388976389?pwd=XcpO3GhLxsR14a7SVbPx33HQQa1jbt.1>. You are invited to the following seminar held as part of this series. Title: Scaling Satellite Connectivity: Building Adaptive, Efficient, and Deployable Systems Speaker: Prof. Dinesh Bharadia, Associate Professor, University of California San Diego Time: 02:30 PM - 03:30 PM (IST) Date: 12 October 2026 Venue: GJ Hall and Online on Zoom Tea/Coffee: 03:30 - 04:00 PM Zoom link: https://us06web.zoom.us/j/83388976389?pwd=XcpO3GhLxsR14a7SVbPx33HQQa1jbt.1 Zoom Meeting ID: 833 8897 6389, Pass Code: NSSIISc YouTube: https://www.youtube.com/watch?v=Wu8MynsrO0Q&list=PLNN9TCnjABcY5RBvFXAghzQ6HMsNX8GeF Webpage Link: https://cni.iisc.ac.in/seminars/2026-10-12-1/ <https://cni.iisc.ac.in/seminars/2026-10-12-1/> Abstract: Satellite networks offer connectivity beyond the reach of terrestrial infrastructure, but translating broad coverage into scalable service requires addressing bottlenecks across the ground segment, device access, and terrestrial backhaul. Ground stations must provide capacity for growing constellations, thousands of low-power devices must share a satellite receiver despite being unable to sense one another, and satellite and terrestrial links must coexist in partially overlapping spectrum. Conventional approaches often address these constraints through additional antenna hardware, restrictive access protocols, or spectrum separation, limiting efficiency and practical deployment. This talk presents systems that address these challenges by separating resources and controls that conventional architectures couple. At the ground station, ArrayLink exploits near-field geometry across distributed commercial phased-array panels to support parallel spatial streams, while TrackLink separates slow analog pointing from fast digital phase prediction to preserve coherence under satellite motion. For satellite IoT, FSMA uses a lightweight gateway signal to coordinate channel access and filter weak links, reducing collisions and wasted device energy. For backhaul and coexistence, mmSubArray assigns frequency sub-bands to separate commercial arrays, enabling useful links and interference suppression in different directions while retaining the overlapping spectrum. Drawing on hardware experiments, prototype demonstrations, and satellite-scale simulations, the talk examines the capabilities and limitations of these approaches and shows how distributed geometry, adaptive control, and receiver processing can advance satellite connectivity using existing hardware. Bio: Dinesh Bharadia is an Associate Professor in the Department of Electrical and Computer Engineering and the Klein Gilhousen Chancellor’s Endowed Chair at the University of California San Diego, where he leads the Wireless Communication, Sensing, and Networking Group (WCSNG). He received his Ph.D. from Stanford University in 2016 and subsequently served as a Postdoctoral Associate at MIT. He joined UC San Diego in 2018 and received tenure in 2022. His research focuses on designing and prototyping practical systems for wireless communication, sensing, computing, and networking. His work connects fundamental advances in communication theory and signal processing with hardware and system design, with applications spanning connectivity, robotics, healthcare, privacy, and security. His recent research explores scalable satellite connectivity, energy-efficient wireless architectures, and real-time network intelligence. His innovations have contributed to commercial efforts including Kumu Networks, Haila, and Totemic Labs. His contributions have been recognized through Forbes 30 Under 30 in Science, MIT Technology Review’s Innovators Under 35, the Marconi Young Scholar Award, and the Michael Dukakis Leadership Award. He is also a recipient of IIT Kanpur’s Young Alumni Award. More Details: https://dineshb.ucsd.edu/ ALL ARE WELCOME. Thank you, CNI Seminar Series Organizing Committee.

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: Power Series based Hard Thresholding Algorithms for Sparse Signal Recovery Speaker: Prof. Mrityunjoy Chakraborty, VSNL Chair Professor, IIT Kharagpur Time: 4:00 PM - 5:00 PM (IST) Date: 12 October 2026 Venue: GJ Hall and Online on Zoom Zoom link: https://us06web.zoom.us/j/83388976389?pwd=XcpO3GhLxsR14a7SVbPx33HQQa1jbt.1 Zoom Meeting ID: 833 8897 6389, Pass Code: NSSIISc YouTube: https://www.youtube.com/watch?v=Wu8MynsrO0Q&list=PLNN9TCnjABcY5RBvFXAghzQ6HMsNX8GeF Webpage Link: https://cni.iisc.ac.in/seminars/2026-10-12/ <https://cni.iisc.ac.in/seminars/2026-10-12/> Abstract: In this talk, we will be presenting a unified treatment to hard-thresholding based compressed sensing recovery algorithms, like IHT, HTP etc. For this, we will modify the cost function by a power series in AAH where A is the so-called sensing matrix. For appropriate choice of the power series coefficients, we will show that the proposed treatment not only leads to various existing hard thresholding based recovery algorithms, but, more importantly, it enables one to develop new algorithms belonging to this category. The talk will also touch upon a convergence analysis of the proposed method and derive convergence guarantees in terms of the restricted isometry constant (RIC) of the sensing matrix. It will be shown that in case of some of the well known hard-thresholding based algorithms, the proposed convergence analysis results in wider permissible ranges of algorithm parameters and faster convergence than suggested by existing analyses. Some new, power series based hard thresholding algorithms will also be proposed, and their recovery performance shown via simulation. Bio: Mrityunjoy Chakraborty received Bachelor of Engg. in Electronics and Telecommunication Engg. from Jadavpur University, Kolkata (1983), Master of Technology (1985) and Doctor of Philosophy (1994) both in Electrical Engg. respectively from Indian Institute of Technology at Kanpur and Delhi. He joined the department of Electronics and Electrical Communication Engg. at the Indian Institute of Technology, Kharagpur as a lecturer in 1994 and is currently a VSNL chair professor in the same department, with teaching and research interests in digital and adaptive signal processing, VLSI signal processing, linear algebra and compressive sensing. He has served the IEEE Transactions on Circuits and Systems, part I (2004-2007, 2010-2012) and part II (2008-2009, 2022-2023) as an Associate Editor, apart from being a Senior Editorial Board (SEB) member of the IEEE Signal Processing Magazine (2017-2020) and a SEB member of the IEEE journal on Emerging Techniques in Circuits and Systems (2016-2017). He was elected as a Chair of the DSP Technical Committee (TC) of the IEEE Circuits and Systems Society during 2016-2018. He has also been a Guest Editor of the EURASIP JASP and special issues of TCAS-II, DSP track Co-Chair of ISCAS 2015-2024, TPC Co-Chair of IEEE SIPS-2018, Special Session Co-Chair of DSP-18 and a Gabor Track Chair of DSP-15. He is a co-founder of the Asia Pacific Signal and Information Processing Association (APSIPA), has been a member of the APSIPA BOG (2013-2016) and also, served as Chair of the APSIPA TC on Signal and Information Processing Theory and Methods. He has also been the General Chair of the National Conference on Communications - 2012, 2020. Prof. Chakraborty is a Fellow of the National Academy of Sciences, India, and also of the Indian National Academy of Engineering (INAE). In 2019, he received the prestigious Chair Professorship of the INAE and in 2022, he was selected for the Prithviraj and Swati Banerjee Chair Professorship by IIT, Kharagpur. During 2012-2013, he was selected as a Distinguished Lecturer of the APSIPA. More Details: https://facweb.iitkgp.ac.in/~mchakraborty/ ALL ARE WELCOME. Thank you, CNI Seminar Series Organizing Committee.