Advisory Board and Editors Computer Networks & Communications
Markus Endler
Markus Endler obtained his Dr. rer. nat. in Computer Science from the Technical University of Berlin (1992), and the Professor Livre-docente title (Habilitation) from the University of São Paulo (2001). From 1989 to 1993 he worked as a researcher at the GMD Research Institute Karlsruhe (Germany), and from 1994 to 2000 as an Assistant Professor at the Institute of Mathematics and Statistics of the University of São Paulo (USP). In 2001 he joined the Department of Informatics of the Pontifícia Universidade Católica in Rio de Janeiro (PUC-Rio), where he is currently Associate Professor. His main research interests include Mobile and Pervasive Computing, IoT Middleware Architectures. Distributed Algorithms for Cooperation and Consensus, Online Data Analytics, and Data Stream Processing. As of 2020, he has supervised 13 PhD thesis and 30+ M.Sc. dissertations.
Xiao-Zhi Gao
Prof. Xiao-Zhi Gao is a Professor in the Faculty of Science and Forestry, School of Computing at the University of Eastern Finland, Finland.
His research interests include soft computing, machine learning, data mining and communications networks.
Hemant Ghayvat
I am an Associate Professor at Linnaeus University, where my research and teaching center on AI-enabled systems for healthcare and smart environments. My work leverages the power of IoT, machine learning, and deep learning to create practical solutions, from contactless heart monitoring to smart home technologies that support assisted living. I am passionate about using technology to improve well-being and create more intelligent, responsive environments.
Nancy Griffeth
I taught at Lehman College and the CUNY Graduate Center for 12 years, from 2003 to 2015. I am now retired.
My research specialty when I arrived was Computer Networks and I taught Computer Networks as often as I could. Subsequently, I collaborated with Prof. Stephen Redenti, a biologist at Lehman, on a computational biology project to simulate migrating cells. We introduced computational biology courses and a new minor in Quantitative and Systems Biology at Lehman.
Susan C. Herring
Professor of Information Science and Adjunct Professor of Linguistics at Indiana University Bloomington. Director, Center for Computer-Mediated Communication, Indiana University Bloomington. Editor, Language@Internet. Past editor, Journal of Computer-Mediated Communication.
Dr. Herring’s first intellectual passion was foreign languages. After being employed as a Graduate Student Instructor in the French Dept. and then the Linguistics Dept. at U.C. Berkeley in the 1980s, she was appointed as an Instructor in the Special Languages Program at Stanford University to teach Tamil in 1989. She was subsequently hired as an Assistant Professor in the English Department at Cal State University, San Bernardino, to teach discourse analysis, in 1989, and promoted to Associate Professor in 1992. In the same year, she moved to the University of Texas, Arlington, where she was an Associate Professor in Linguistics until 2000. During that time the Internet was expanding rapidly, and her research interests shifted from traditional linguistics towards computer-mediated communication. In 2000, she joined the School of Library and Information Science at Indiana University, and was promoted to Professor in 2002. She also holds an Adjunct Professor appointment in the Linguistics Dept. at Indiana University and is a Fellow in the Center for Research on Learning Technologies and a Fellow in the Center for Social Informatics.
Polly Huang
Polly Huang is a professor at the Department of Electrical Engineering, National Taiwan University. Polly received her Ph.D. in Computer Science from University of Southern California. Her research interest includes multimedia networking, sensor networking, and mobile computing. Polly has co-authored over 100 technical articles and 9 US patents. She has served as a TPC member for several high-profile network/system conferences, and as an associate editor of ACM Transactions on Sensor Networks.
Biju Issac
Dr Biju Issac is a Computer Science academic staff working at Northumbria University, UK. He has done PhD in Networking and Mobile Communications, MCA (Master of Computer Applications) and BE (Electronics and Communications Engineering). He is a Chartered Engineer (CEng), Senior IEEE member and Fellow of HEA. His research interests are in Wireless Networks, Cybersecurity, AI/Machine Learning applications (security, image processing, text mining etc) and Bio-inspired metaheuristic algorithms. His personal research website: https://www.bijuissac.com/
Baochun Li
Baochun Li received the B.Engr. degree from the Department of Computer Science and Technology, Tsinghua University, China, in 1995 and the M.S. and Ph.D. degrees from the Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, in 1997 and 2000. Since 2000, he has been with the Department of Electrical and Computer Engineering at the University of Toronto, where he is currently a Professor. He is a member of ACM and a Fellow of IEEE.
Xiaolong Li
Dr. Xiaolong Li is Professor and Chair of the Department of Electronics and Computer Engineering Technology at the Indiana State University. He received his PhD from Department of Electrical and Computer Engineering at the University of Cincinnati in 2006. He obtained his Bachelor degree and Master degree from Department of Electronic and Information Engineering at Huazhong University of Science and Technology, China. Dr. Li began his teaching and research with the Morehead State University in 2006 where he taught various courses in electronics and wireless communications. In 2008, Dr. Li joined the Indiana State University where he taught courses in Electronics and Computer Engineering, such as C programming, digital electronics, computer networking, networking security, etc. Dr. Li’s primary areas of research including modeling and performance analysis of Data mining, Internet of Things, Wireless Ad Hoc networks and sensor networks. He has published more than forty journal and proceedings articles in the above fields. He has served as topical editor and special issue editor for multiple journals. He also served as general chair and technical program committee chairs for multiple international conferences.
Pengcheng Liu
Pengcheng Liu is a member of IEEE, IEEE Robotics and Automation Society (RAS), IEEE Control Systems Society (CSS) and International Federation of Automatic Control (IFAC). He is also a member of the IEEE Technical Committee on Bio Robotics, Soft Robotics, Robot Learning, and Safety, Security and Rescue Robotics. Dr Liu is an Associate Editor of IEEE Access, PeerJ Computer Science, and he received the Global Peer Review Awards from Web of Science in 2019, and the Outstanding Contribution Awards from Elsevier in 2017. He has published over 70 papers on flagship journals and conferences. He was nominated as a regular Funding/Grants reviewer for EPSRC, NIHR and NSFC and he has been leading and involving in several research projects and grants, including EPSRC, Newton Fund, Innovate UK, Horizon 2020, Erasmus Mundus, FP7-PEOPLE, NSFC, etc. He serves as reviewers for over 30 flagship journals and conferences in robotics, AI and control. His research interests include robotics, machine learning, automatic control and optimization.
Ignacio M. Llorente
Dr. Llorente is co-founder and Director of OpenNebula, and Professor at UCM. He is an entrepreneur and researcher in the field of cloud and distributed computing, having managed several international projects and initiatives on Cloud Computing, and authored many articles in the leading journals and proceedings books. Dr. Llorente is one of the pioneers and world's leading authorities on Cloud Computing.
Jose Maria Luna
Dr. Luna is an associate professor at the University of Cordoba, Spain. He received the Ph.D. degree in Computer Science from the University of Granada, Spain. He has published more than 30 papers in top ranked journals, most of them in the pattern mining field. He is author of two books, related to pattern mining, published by Springer: "Pattern Mining with Evolutionary Algorithms" and "Supervised Descriptive Pattern mining”