Advisory Board and Editors Distributed & Parallel Computing
Sándor Szénási
Sándor Szénási has earned his MSc degree in 2004 from Faculty of Informatics of Eötvös Loránd University, Budapest. He has received his PhD in 2013 from Doctoral School of Applied Informatics (GSAI) of Óbuda University, Budapest.
Currently, he is an associate professor in the Institute of Applied Informatics of John von Neumann Faculty of Informatics, Óbuda University, Budapest. He is the leader of the local CUDA Teaching Center.
His research areas are (data) parallel algorithms, GPU programming and medical image processing. He engages both in theoretical fundamentals and in algorithmic issues with respect to realization of practical requirements and given constraints.
He is the member of the John von Neumann Computer Society and IEEE, and also a reviewer of several conferences and journals.
Ian Taylor
Ian Taylor is a Reader Cardiff University. He has a strong track record specialising in the workflow and data distribution areas, with application in audio, astrophysics and healthcare. Ian wrote a 2nd edition professional distributed computing book (sold 2000+) and was lead editor for “Workflows for eScience”. Ian has guest edited for the Journal of Grid Computing and co-chaired the OGF Workflow Management Research Group. He has published 110 papers.
Valerie Taylor
Valerie Taylor is the director of the Argonne National Laboratory Mathematics and Computer Science Division. She received her Ph.D. in electrical engineering and computer science from the University of California, Berkeley, in 1991. She then joined the faculty in the Electrical Engineering and Computer Science Department at Northwestern University, where she was a member of the faculty for 11 years. In 2003, she joined Texas A&M, where she served as head of the computer science and engineering department and senior associate dean of academic affairs in the College of Engineering and a Regents Professor and the Royce E. Wisenbaker Professor in the Department of Computer Science.
Fusheng Wang
I am a Professor at Department of Biomedical Informatics and Department of Computer Science at Stony Brook University. I received my Ph.D. in Computer Science from University of California, Los Angeles, and M.S. and B.S. in Engineering Physics from Tsinghua University, China. Prior to joining Stony Brook University, I was an assistant professor at Emory University. I was a research scientist at Siemens Corporate Research (Princeton, NJ) before joining Emory University.
My research goal on big data management and analytics is to address the research challenges for delivering effective, scalable and high performance software systems for managing, querying and mining complex big data at multiple dimensions, including 2D and 3D spatial and imaging data, temporal data, spatial-temporal data, and sequencing data. My research goal on biomedical informatics is to develop novel methods and software systems to optimize the acquisition, extraction, management, and mining of biomedical data with much improved efficiency, interoperability, accuracy, and usability to support biomedical research and the healthcare enterprise.
Robert Winkler
Robert Winkler is Principal Investigator of the Laboratory of Biochemical and Instrumental Analysis at the CINVESTAV Unidad Irapuato and faculty member for the postgraduate programs Plant Biotechnology and Integrative Biology. His research topics include novel mass spectrometry techniques such as low-temperature plasma ionization and covalent protein staining, new approaches in the high-throughput metabolomic profiling of plants, computational mass spectrometry and proteomics.
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.
Ying Xu
Ying Xu received B.Eng, M.Eng, and PH.D. degrees from Harbin Institute of Technology, China, in 2003, 2005, and 2009, respectively. From 2009-2017, he had been a Senior Engineer in the North China Grid Dispatching and Control Center. He is a research scholar in the Department of Electrical and Computer Engineering, University of Central Florida, USA. His main research interests and experiences include power system analysis and control, system modeling and simulation, cooperative control, distributed control and optimization for networked systems.
Su Yan
Dr. Su Yan received his Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana–Champaign (UIUC), Urbana, IL, USA, in 2016. Currently, he is an Assistant Professor and Director of Graduate Studies in the Department of Electrical Engineering and Computer Science, at Howard University, Washington, DC. He has authored or coauthored over 100 papers in refereed journals and conferences and one book chapter. His current research interests include nonlinear electromagnetic and multiphysics problems, electromagnetic scattering and radiation, numerical methods in computational electromagnetics, especially continuous and discontinuous Galerkin finite element methods, integral-equation-based methods, domain decomposition methods, fast algorithms, and preconditioning techniques. Dr. Yan is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and a Life Member of the Applied Computational Electromagnetics Society (ACES). He was a recipient of the ACES Early Career Award “for contributions to linear and nonlinear electromagnetic and multiphysics modeling and simulation methods" by ACES in 2020, the P. D. Coleman Outstanding Research Award and the Yuen T. Lo Outstanding Research Award by UIUC, in 2015 and 2014, respectively. He was also a recipient of the Edward E. Altschuler AP-S Magazine Prize Paper Award by IEEE Antennas and Propagation Society in 2020.
Chee Shin Yeo
Chee Shin Yeo has completed both Ph.D. and M. Software Systems Engineering (MSSE) in the Department of Computer Science and Software Engineering (CSSE), The University of Melbourne, Australia in 2008 and 2002 respectively, and a B.Sc. (Hons) in Computer and Information Sciences in the School of Computing (SoC), National University of Singapore (NUS), Singapore in 2001. He is an IEEE Senior Member.
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.