Advisory Board and Editors Mobile & Ubiquitous Computing
Henning Schulzrinne
Prof. Henning Schulzrinne, Levi Professor of Computer Science at
Columbia University, received his Ph.D. from the University of
Massachusetts in Amherst, Massachusetts. MTS at AT&T Bell
Laboratories; associate department head at GMD-Fokus (Berlin),
before joining the Computer Science and EE departments at Columbia
University. He served as chair of Computer Science from 2004 to 2009 and
as Chief Technology Officer of the Federal Communications Commission (FCC)
from 2012 until 2014.
Chakchai So-In
Chakchai So-In is a Professor of Computer Science with the Department of Computer Science, College of Computing, Khon Kaen University (KKU), Khon Kaen, Thailand. He earned his B.Eng. and M.Eng. degrees from Kasetsart University (KU), Bangkok, Thailand, in 1999 and 2001, respectively, and his M.S. and Ph.D. degrees from Washington University in St. Louis (WUSTL), Missouri, USA, in 2006 and 2010, all in Computer Engineering. He interned with Cisco Networking Academy (CNAP) at Nanyang Technological University (NTU) in Singapore, Cisco Systems (Silicon Valley, USA), WiMAX Forums (USA), and Bell Labs (Alcatel-Lucent, USA). His research focuses on Computer Networking, Internet technology, Wireless and Mobile Networks, Internet of Things (IoT), Mobile Computing, Wireless Sensor Networks, Cybersecurity, Cyber-physical Systems, and Applied Artificial Intelligence (AI). Dr. So-In serves as an associate editor for IEEE Transactions on Automation Science and Engineering (ASE), IEEE Access, Scientific Reports, PLoS ONE, Wireless Networks, PeerJ (Computer Science) as a section editor as well as ECTI-CIT. He has also contributed as the TPC Chair/Co-Chair for WiMob, ICSEC, JCSSE, and KST; and as a committee member/reviewer for many journals/publishers like IEEE, ACM, Elsevier, Springer, Wiley, IET, IEICE, and ETRI, as well as for conferences such as GLOBECOM, ICC, VTC, WCNC, ICNP, ICNC, and PIMRC. He has authored/coauthored over 150 international publications, including some in IEEE JSAC, IEEE TCCN, IEEE/CAA, IEEE Commun./Wireless Commun. Magazines, IEEE IoT J., IEEE System J., OJCOMM, Access, JNCA, COMNET, FGCS, IoT, MONET, WN, PMC, PPNA, ESWA, and ASC; and 10 books, including Mobile & Wireless Networks with IoT, Computer Network, and Network Security Labs. He is also a senior member of IEEE and ACM.
My research group website is: https://csperson.kku.ac.th/ant
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.
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.