Advisory Board and Editors Mobile & Ubiquitous Computing
Loren Terveen
Loren Terveen is a Professor of Computer Science at the University of Minnesota.
He has published over 100 scientific papers, holds 9 patents, has advised several startup companies, consulted on intellectual property cases, and has held many leadership positions in his profession.
He has chaired the leading conferences in Human-Computer Interaction and Social Computing, served on the Executive Committee of the ACM Special Interest Group for Computer-Human Interaction, and led the ACM Computer-Supported Cooperative Work community. He is a Distinguished Scientist of the ACM.
Terveen's current research emphases are: crowdsourcing, geographic-based online communities, and recommender systems.
Masood Ur-Rehman
Masood Ur-Rehman received a B.Sc. degree in electronics and telecommunication engineering from University of Engineering and Technology, Lahore, Pakistan in 2004 and the M.Sc. and Ph.D. degrees in electronic engineering from Queen Mary University of London, London, UK, in 2006 and 2010, respectively. He worked at Queen Mary University of London as a postdoctoral research assistant till 2012 before joining the Centre for Wireless Research at University of Bedfordshire as a Lecturer. He served briefly at the University of Essex and then moved to the James Watt School of Engineering at University of Glasgow in the capacity of an Assistant Professor in 2019.
His research interests include compact antenna design, radiowave propagation and channel characterization, body-centric wireless networks and sensors, bioinformatics and D2D/H2H communications. He has contributed to a patent and authored/co-authored 4 books, 8 book chapters and more than 110 technical articles in leading journals and peer reviewed conferences. He is a Fellow of the Higher Education Academy (UK), a member of the IET and part of the technical program committees and organizing committees of several international conferences, workshops and special sessions. He is acting as an associate editor of a number of renowned journals.
Chenshu Wu
Chenshu Wu is an Assistant Research Scientist in the Department of Electrical and Computer Engineering, University of Maryland, College Park. He is also the Chief Scientist at Origin Wireless Inc.,a spotlight startup working on wireless AI. He received his Ph.D in 2015 in the Department of Computer Science and Technology, and his B.E. in 2010 in the School of Software, both from Tsinghua University, Beijing, China.
Keli Xiao
Dr. Keli Xiao is an Associate Professor in the College of Business at Stony Brook University. He received his Ph.D. from Rutgers University. Dr. Xiao’s research interests include business analytics, data mining, real estate/urban computing, economic bubbles and crises, and asset pricing. His research has appeared in many high-quality journals and conference proceedings, such as IEEE Transactions on Knowledge and Data Engineering (TKDE), Real Estate Economics, ACM Transactions on Knowledge Discovery from Data (TKDD), ACM Transactions on Management Information Systems (TMIS), ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), etc. He regularly serves as an SPC or PC of numerous prestigious conferences, such as AAAI, IJCAI, KDD, ICDM, SDM, CIKM, etc.. He is a senior member of the IEEE and the ACM.
Eftim Zdravevski
Head of the Institute for Intelligent Systems and an Associate Professor at the Faculty of Computer Science and Engineering of the Saints Cyril and Methodius University in Skopje, Macedonia.
His research interests are in FinTech, Big Data, ML, cloud computing, time series analysis, etc.
Founder and CEO of MAGIX.AI - a company specialized in applied AI for predictive maintenance, FinTech, AdTech, and E-commerce. Participated in and led many national and international research projects related to ML in various domains.
Published over 150 papers in peer-reviewed international conferences and top-ranked journals, of which over 100 are indexed in Web of Science.
Yue Zhang
Yue Zhang is an assistant professor at Drexel University’s Computer Science department. His research primarily focuses on system security, specifically in the areas of IoT Security and mobile security. He has published more than 40 papers in security conferences (e.g., USENIX Security, ACM CCS, and NDSS) and journals (e.g., TDSC, TPDS). He received a Best Paper Honorable Mention Award at ACM CCS 2022, and the Best Paper Award at 2019 IEEE International Conference on Industrial Internet. He has also served on the organization committees of the conferences (e.g., general chair of EAI ICECI, track chair for IEEE MSN and IEEE MASS) and technical program committee of the conferences (e.g., USENIX Security, NDSS, ACM CCS, RAID). He serves as an Associate Editor for IEEE T-IFS, HCC and Editor Member of the Blockchain Journal, Electronics Journal, and CMC. His research had led to the discovery of many vendor-acknowledged vulnerabilities, such as by Bluetooth SIG, Apple, Google, and Texas Instruments, and had attracted intense media attention such as Hacker News, and Mirage News.
Wenbing Zhao
My primary expertise is in the field of dependable distributed system where I have published extensively on blockchain, Byzantine fault tolerance, intrusion tolerance, replication, and distributed consensus. My secondary expertise, which is also what I find extremely exciting currently, is in the field of smart and connected healthcare with particular interest in human motion recognition, human computer interface, computer vision, machine learning, and fuzzy Inference.