Dr. Miguel Lopez-Benitez

Dr. Miguel Lopez is a Lecturer (Associate Professor) in the Department of Electrical Engineering and Electronics (EEE) of the University of Liverpool (UoL), United Kingdom since 2013. Prior to this, he was a Research Fellow in the Centre for Communication Systems Research (CCSR) of the University of Surrey (UNIS), Guildford, United Kingdom from 2011 to 2013. He received B.Sc. and M.Sc. degrees in Telecommunications Engineering (both with First-Class Honours) from Miguel Hernandez University (UMH), Elche, Spain in 2003 and 2006, respectively, and a Ph.D. degree in Telecommunications Engineering (2011 Outstanding Ph.D. Thesis Award) from the Department of Signal Theory and Communications (TSC) of the Technical University of Catalonia (UPC), Barcelona, Spain in 2011.
His research interests embrace the field of wireless communications and networking, with special emphasis on several theoretical and experimental aspects of cellular mobile communication technologies, heterogeneous radio access networks and dynamic spectrum access in cognitive radio systems. He has been a principal investigator of research projects funded by EPSRC/eFutures and UKIERI, and has been involved in the European-funded projects AROMA, NEWCOM++, FARAMIR, QoSMOS and CoRaSat


Dr. Chang Yoong Choon

Dr. Chang Yoong Choon received his B.Eng. (First Class Honors) in Electrical & Electronic Engineering from University of Northumbria at Newcastle UK, M.Eng.Sc. and PhD (Engineering) from Multimedia University. He is currently an associate professor and Head of Department, Department of Electrical and Electronic Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman (UTAR) Malaysia. He is also a registered professional electronic engineer with Board of Engineers Malaysia.
His research interests include video signal processing and digital home. Over the past 10 years, his research work has been funded by Embassy of France Kuala Lumpur, Asia-Pacific Telecommunity, Malaysian Communications and Multimedia Commission, Telekom Malaysia, Motorola Malaysia and Ministry of Science, Technology and Innovation Malaysia. He has more than 40 scientific publications in international journals and conferences and 10 postgraduate by research students have graduated under his supervision. Besides academic teaching and research, he regularly conducts video communications technical training to the working professionals.

Dr. Dhaval Patel

Dr. Dhaval Patel is currently working as Assistant Professor at School of Engineering and Applied Science - Ahmedabad University, India. Previously, he associated with Olin School of Engineering-MA-USA (Visiting Faculty), Nirma University, Charotar University of Science and Technology - Changa and as a Research Engineer at Pentium Electronics, Ahmedabad.
Recently he has published articles in peer conferences such as Personal Indoor and Mobile Radio Communications- PIMRC (2017) at Montreal, Canada and Cognitive Radio Oriented Wireless Networks- CROWNCOM (2017) at Lisbon, Portugal. He has published research papers in peer-reviewed journals and conferences. He is a TPC member of many international conferences in U.S.A and India. He is contributing his services as a reviewer in International and National Journals like IEEE Transaction on Wireless Communications, NASA Journal of Physical Science, IEEE Communication letters, etc. Furthermore, he is an executive committee member of professional bodies like IEEE Signal Processing Society, ISTE and IETE.His area of interest includes Non-parametric statistics, Cognitive Radio-Physical Layer, MIMO Communications and Statistical Signal Processing.


Professor Mehul Raval

Dr. Mehul Raval is working as a Professor at Pandit Deendayal Petroleum University (PDPU), India. Earlier (2013-2018) he was associated with School of Engineering and Applied Science, Ahmedabad University. Prior to that, Dr. Raval was associated with Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, Gujarat as an Assistant Professor. Before joining DA-IICT, he worked (1997 - 2008) at Electronics and Communication Engineering Department, Sarvajanik College of Engineering and Technology(SCET), Surat as a Lecturer, as an Assistant Professor and Department Incharge. He was a visiting faculty to Master's program in Electronics department at Sardar Vallabhbhai National Institute of Technology SVNIT (2005 / 2007) Surat and Veer Narmad South Gujarat University (2004 - 2008).

Dr. Raval visited Graduate School of Natural Science and Technology, Okayama University, Japan during July- August 2016 under Sakura science exchange program sponsored by Japan Science and Technology (JST), Govt. of Japan. He coauthored a book on Image and Video Compression: Fundamentals, Techniques and Applications, CRC press, Nov. 2014. Dr. Raval has number of book chapters to his credit and he has published extensively in journals, magazines, conferences, workshops at national and international level. He is an actively supporting research community by serving as member of technical program committees for leading national and international conferences, workshops. He also reviews articles for leading journals of IEEE, ACM, Springer, Elsevier, SEAS . He has received research funds from Board of Research in Nuclear Science (BRNS), Department of Atomic Energy, Government of India and IEEE.

His area of interest Image processing, Reversible watermarking, Soft biometrics, Machine Learning, Computer Vision.


Om Thakkar

Om Thakkar recently completed his Bachelor's in Technology (B.Tech) in Information and Communication Technology (ICT) from School of Engineering and Applied Science, Ahmedabad University, India. He has been actively working as an undergraduate research intern from April 2017 as a part of Project DST-UKIERI and Project DST-ASEAN. Recently, he published an article in IEEE Vehicular Technology Conference (VTC) Spring, 2019 at Kuala Lumpur, Malaysia. In the previous year, he published an article in IEEE India Council International Conference (INDICON), 2018 at Coimbatore, India.

He is an incoming student at Arizona State University starting Fall 2019 where he will be pursuing master's in computer science with a specialization in Artificial Intelligence. His area of interest lies in the field of Machine Learning and Computer Vision.