Localization Techniques in Wireless Sensor Networks
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Localization Techniques in Wireless Sensor Networks

Tashnim Jabir Shovon Chowdhury received the B.Sc. degree in Electrical and Electronic Engineering from Chittagong University of Engineering and Technology in 2013. Currently he is pursuing a M.S. in Electrical Engineering from The University of Toledo. His research interests include machine learning, statistical optimization, wireless sensor networks, convex optimization, data science, and error control coding. He is a graduate student member of IEEE.

Colin Elkin earned a BS degree in Electrical Engineering from The University of Tulsa in 2013. He completed an MS degree in Computer Science and Engineering from The University of Toledo in 2015, where he is now a PhD candidate. In 2016, he became a recipient of the prestigious Dayton Area Graduate Studies Institute (DAGSI) fellowship for a research project that addresses human effectiveness through machine learning techniques. In addition, he has undertaken past and present research efforts that have been funded by NSF and AFRL. His research interests include wireless sensor networks, data science, machine learning, optimization techniques, human factors, and software optimization. He is currently a graduate student member of IEEE.


Vijay Devabhaktuni received the B.Eng. degree in EEE and the M.Sc. degree in Physics from BITS, Pilani, in 1996, and the Ph.D. in Electronics from Carleton University, Canada, in 2003. During 2005-2008, he held the prestigious Canada Research Chair in Computer-Aided High-Frequency Modeling & Design at Concordia University. In 2008, he joined the EECS Department at The University of Toledo, where he is a Full Professor. Additionally, he is the Director of the College of Engineering for Interdisciplinary Research Initiatives. His interests include applied electromagnetics, biomedical engineering, computer aided design (CAD), data-2-decision, human machine teaming, machine learning, modeling, optimization, and virtual reality. He secured $5M external funding (sponsors include AFOSR, CFI, ODOT, NASA, NSERC, NSF, and industry). He co-authored 200+ papers and is advising 14 MS and PhD students. He has won several teaching excellence awards. Dr. Devabhaktuni is the Associate Editor of the International Journal of RF and Microwave Computer-Aided Engineering. He is a Senior Member of the IEEE.


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