INVITED SPEAKERS
INVITED SPEAKERS
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Dr. Arpan Mukhopadhyay, University of Warwick, UK
On: Consensus Dynamics on Networks of Biased Agents
The consensus problem for a network of distributed agents is defined as follows: each node in the network holds some opinion or belief and interacts with its neighbours according to some specific rule to reach a state of consensus where all nodes adopt the same opinion or belief. The interaction rules which lead to consensus are called consensus protocols or algorithms. Recently, there has been considerable interest in the analysis of consensus protocols due to the wide applicability of consensus protocols to a range of areas including social networks, distributed computing, biological networks, and statistical physics. While the classical consensus problem assigns the same value to all opinions/beliefs, in real-world networks, the agents often exhibit some form of bias/preference towards intrinsically superior alternatives (e.g., a newer technology or a better political opponent).
In this talk, I shall focus on the effect of bias on consensus dynamics. Specifically, I shall describe how different forms of bias (strong and weak) can affect the speed at which the network reaches consensus. We shall show that the effect of bias on the network dynamics depends on several factors including the consensus protocol being used, the initial distribution of the opinions/beliefs and the connectivity among the agents. I shall present some recent results which analytically characterise the effect of these factors on the speed of consensus.
Dr. Arpan Mukhopadhyay is currently an Assistant Professor at the Department of Computer Science, University of Warwick, U.K. He received the B.E. degree in electronics and telecommunication engineering from Jadavpur University, India, in 2009, the M.E. degree in telecommunications from the Indian Institute of Science, India, in 2011, and the Ph.D. degree in Electrical and computer ngineering from the University of Waterloo, Canada, in 2016. His research interests include performance analysis of computer and communication networks, distributed network algorithms and theoretical machine learning. He has received Best Paper Awards at IFIP Performance 2015 and the International Teletraffic Congress (ITC) 2015. He was also awarded the Rising Scholar Award at the International Teletraffic Congress 2018 for his contributions to mean field analysis of large heterogeneous networks.
Dr. Vijay K. Shah, George Mason University, USA
On: 5G-based Indoor Positioning System for Emergency Responders in GPS-limited Indoor Scenarios
A precise indoor positioning system is crucial in emergency response scenarios, such as the case of firefighters. Being aware of team members’ locations is essential for effective rescue mission management. In large and complex indoor emergencies, firefighters need to know their exact locations, possible escape routes, and the potential risks (e.g., machinery, hazardous materials, etc.) in their surrounding area. Properly geolocated and well informed about risks, rescuers can be better coordinated, commanded, and guided to reduce the possibility of disorientation and failure to find victims. However, designing and deploying a precise, reliable, and timely indoor geolocation system in such emergencies is challenging – (i) GNSS or traditional GPS systems do not work reliably in indoor settings, and current cellular and WiFi systems do not have sufficient accuracy, (ii) One cannot burden firefighters/ first responders with unwieldy equipment, (iii) One cannot assume that a location of the event is prepared in advance, for example, by installing transmitters or receivers within the structure or building plans. In this talk, we discuss our ongoing research, preliminary results and future directions in leveraging 5G capabilities (such as, support for positioning reference signals, device-to-device communication, and mobile edge computing) to locate firefighters precisely in such challenging GPS-limited indoor scenarios.
Dr. Vijay K. Shah is an Assistant Professor in the College of Engineering and Computing at George Mason University, Virginia, USA. He holds Adjunct faculty position with Virginia Tech, and is a faculty member of Commonwealth Cyber Initiative (CCI), a Virginia state-wide initiative to foster 5G wireless, autonomous systems, data and cybersecurity research. He focuses on the experimental research and prototyping of next-generation wireless communications and networking, particularly, 5G/6G cellular networks, Open radio access network (O-RAN), AI/ML and spectrum sharing. His research is generously by the National Science Foundation, National Institute of Standards and Technology, and Commonwealth Cyber Initiative. He serves on the Technical Program Committee (TPC) of several international conferences such as MobiHoc and ICNP, and is the organizing co-chair of the IEEE workshop on Next-generation Radio Access Networks (co-located with IEEE GLOBECOM 2022).
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