Dr. Jiang received the B.Sc. degree in Computer Engineering from Huazhong University of Science and Technology, Wuhan, China;
the M.A.Sc. degree in Computer Engineering from the University of Toronto, Toronto, Canada; and the PhD degree in
Computer Science from the Texas A&M University, College Station, Texas, USA. He is currently Chair and Wendell H.
Nedderman Endowed Professor of Computer Science and Engineering Department at the University of Texas at Arlington.
Prior to joining UTA, he served as a Program Director at National Science Foundation (2013.1-2015.8) and he was at
University of Nebraska-Lincoln since 1991, where he was Willa Cather Professor of Computer Science and Engineering.
He has graduated 17 Ph.D. students who upon their graduations either landed academic tenure-track positions in Ph.D.-granting
US institutions or were employed by major US IT corporations. He has also supervised 20 post-doctoral fellows and
visiting scholars. He is currently supervising/co-supervising more than 10 Ph.D. students and Post-doc fellows.
His present research interests include computer architecture, computer storage systems and parallel I/O,
high-performance computing, big data computing, cloud computing, performance evaluation. He is an Associate Editor of
the IEEE Transactions on Computers and recently served as an Associate Editor of the IEEE Transactions on Parallel and
Distributed Systems. He has over 300 publications in major journals and international Conferences in these areas,
including IEEE-TPDS, IEEE-TC, Proceedings of IEEE, ACM-TACO, ACM-ToS, USENIX ATC, FAST, EUROSYS, ISCA, MICRO, SOCC,
LISA, SIGMETRICS, ICDE, DATE, ICDCS, IPDPS, MIDDLEWARE, OOPLAS, ECOOP, SC, ICS, HPDC, INFOCOM, ICPP, etc., and his
research has been supported by NSF and industry. Dr. Jiang is a Fellow of IEEE, and Member of ACM.
Professor Hao Che
Dr. Che received the B.S. degree from Nanjing University, Nanjing, China; the M.S. degree in physics from the University of Texas at Arlington, Arlington,
Texas, USA; and Ph.D. degree in electrical engineering from the University of Texas at Austin, Austin, Texas, USA.
He is currently a full professor in the Department of Computer Science and Engineering at the University of Texas at
Arlington, Texas. Prior to joining UTA, he was a system architect with Santera Systems, Inc. in Plano (2000-2002) and
an assistant professor of Electrical Engineering at the Pennsylvania State University (1998 to 2000). His current
research interests include network architecture and Internet traffic control, datacenter resource management and
job scheduling, edge computing and IoT. He is senior member of IEEE.
Dr. Zhijun Wang
Dr. Wang received the Ph.D. degree in Computer System and Engoneering in 2005 from University of Texas at Arlington, TX, USA.
He is a research associate in ACES Lab now. His research interests include traffic control (QoS guaranteed congestion control,
price-aware congestion control, incast congestion control) in datacenters, resource management ( SLO guaranteed job scheduling,
integrated network and computing resource management) in cloud computing and edge computing.
Dr. Ning Li
Dr. Li received the Ph.D. degree in Computer System Architecture in 2016 from Huazhong University of Science and Technology, Wuhan, China.
His research interests include virtualization, quality of service, cloud computing and cloud storage. Now he is a Post-Doctor in ACELAB.
Dr. Zhijie Huang
Dr. Huang got his Ph.D from Huazhong University of Science and Technology in 2016, and is currently working as a Postdoctoral
Research Associate under the supervision of Prof. Hong Jiang. My research interests include coding theory and its application,
storage systems and parallel IO, and reliability and security in computer systems.
Eng. Sami Alesawi works at King Abdulaziz University | Faculty of Computing and Information Technology in Rabigh,
Department of Computer Science. Eng. Alesawi is a Ph.D. candidate pursuing his Ph.D. degree at the University of Texas at Arlington,
Computer Science Department under the supervision of Prof. Hao Che. His current research interests are in datacenter resource management
and job scheduling.
Prathyusha Enganti is a PhD student in ACES Lab. Her research interests include resource allocation in data center networks,
utility function maximization,Edge computing and the role of SDN in it.She is currently working in the area
of Multi-path congestion control.
Huiyang Li is a PhD. Student in ACES Lab. Her research areas include SLO Tail latency guaranteed data center job
scheduling, resource management in cloud and edge computing.
Zhongwei Li is working on his Ph.D program in Computer Science and joined the ACES Lab in 2016. His research areas
include Performance evaluation and Resource provisioning for parallel computing systems, Could & Edge computing,
Resource scheduling for distributed systems, etc.
Todd Rosenkrantz is a PhD. Student in ACSE Lab. He is interested in Edge Networking and IoT device utilization beyond
the local device and network. He turned his hobby into his career after he left the Navy and the field of Nuclear Power Generation.
He has worked at IBM, McAfee, and Dell. He enjoys making things work and learning new technologies. He has been an instructor, both as a
volunteer and sometimes with his job duties. He appreciates 'seeing the light come on' as someone understands something new.
Akshit Singhal is a PhD student in ACES Lab. He is currently working in the area of Multi-path congestion control
and traffic control in datacenters.
Mengxiao Wang is a PhD. Student in ACES Lab. His research interest is focused on HPC storage system.
He is studying the behavior of HPC storage system and trying to find a solution for solving the bottleneck
of HPC platforms.
Xuan Wang is a PhD. Student in ACES Lab. His research interest is focused on cloud computing and IoT computing and HPC platforms.
Kasi is an REU who is there to get an understanding how research in the Computer Science world works in hopes
that she gets into her own research and continue her education into the graduate and Ph.D levels.
She is interested in Machine learning.