I am a graduate student with the Department of Electrical and Computer Engineering atRutgers University, NJ. I am pursuing my Ph.D under the guidance of Dr. Dario Pompili at theCyber Physical Systems Laboratory, Rutgers University, NJ. I received my M.Sc. and B.Sc. from Sharif University of Technology and Shahid Beheshti University (Tehran, Iran), respectively. In my Master's thesis, I worked on application of blind source separation in image watermarking. Currently, I am working on provisioning and allocation of virtual base stations in the Cloud Radio Access Network (C-RAN).
Eun Kyung Lee joined in 2009 as a Ph.D student in Department of Electrical and Computer Engineering (ECE) at Rutgers University. He is currently under guidance of professor Dario Pompili as a memeber of Cyber Physical Systems Laboratory (CPS Lab), and conducting research supported by Center for Autonomic Computing (CAC) an NSF research center. His research interests include Ad hoc Networking and Green Computing. He is an IEEE and ACM student member.
Fan is a PhD student of ECE Department at Rutgers University supervised by Prof. Manish Parashar. His current research focuses on building the programming and runtime support for enabling the execution of in-situ/in-transit scientific data processing workflow on emerging multi-core parallel architectures. Generally, Fan is interested in data management, programming framework for data analysis/processing on large scale HPC systems.
I am a graduate student with the Department of Electrical and Computer Engineering at Rutgers University, NJ. I am pursuing my Ph.D working with Prof. Dario Pompili in Cyber Physical Systems Laboratory (CPS) at the Cloud and Autonomic Computing Center (CAC), Rutgers University, NJ, USA. I received my Bachelor in electrical engineering from Ferdowsi University of Mashhad, Iran and my Master Degree from Iran University of Science and Technology in Tehran, Iran. For my Master thesis I worked on coding in MIMO correlated channels in wireless communications under the supervision of Prof. Vahid Tabataba Vakili.  Previously, I worked as a full-time faculty member at Bahar Institute of Higher Education in Iran and also as a lecturer at Azad University of Tehran and Mashhad, Iran.
He is a graduate student with the Department of Electrical and Computer Engineering at Rutgers University, NJ. He is pursuing his Ph.D. under the guidance of Dr. Dario Pompili at the Cyber-Physical Systems Lab. Before joining Rutgers he worked as a research assistant at Henry Ford Health System and Wayne State University, Detroit, MI. He received his bachelor degree in Electrical and Electronic Engineering in 2006 and his master degrees in Biomedical Engineering and Electrical and Communication Engineering in 2009 and 2010, respectively. His advisor were  Prof. Hamid Soltanian-Zadeh and Prof. Shahram Akhlaghpoor. He has also worked as a lecturer and researcher in the Electrical and Computer Engineering, Azad University, Tehran, Iran from 2009-2013. His research interests include digital signal and image processing, medical image analysis, and machine learning.
Moustafa AbdelBaky was a Ph.D. student at Rutgers University, an IBM Ph.D. Fellow, and an alumni of RDI2, TASSL, and NSFCAC. He completed his Ph.D. in Electrical and Computer Engineering and joined UC Berkeley as a Postdoctoral Scholar. Moustafa received his undergraduate degree from the Rutgers School of Engineering with a major in Electrical & Computer Engineering, and a major in Computer Science. He worked with IBM T.J. Watson Research Center on developing a framework that integrates IBM's Blue Gene supercomputer with public clouds, mobile and desktop peripherals to provide HPC as-a-service. He also worked on CometCloud, an autonomic cloud engine build on top of a robust and scalable overlay, which provides programming platforms (MapReduce, Workflow, Master/Worker/BOT) that run on dynamically federated HPC (HPC cluster, BlueGene/P) and Cloud infrastructure (Amazon EC2). Finally he worked on providing HPC as-a-service on all three levels (infrastructure, platform, and software as a service) using hybrid infrastructure such as Open Science Grid, Amazon EC2, Future Grid, and XSEDE. His past research experiences include DISCOVER, an interactive portal for interactive steering of scientific applications, using virtual reality for rehabilitation at the Human-Machine Interface Lab at Rutgers University in collaboration with Indiana University School of medicine, mobile development in collaboration with Bloomberg LP, experiments with Single Electron Transistors and nano technology at Rutgers University, and the development of ElVis (A Scientific Graphics for Visualization and Monitoring Software) in collaboration with Princeton's University Plasma Physics Laboratory.
I am a PhD candidate at the Department of Electrical and Computer Engineering, Rutgers University. I am a member of the Cyber-Physical Systems Lab directed by Dr. Dario Pompili. My research interests span mobile computing, distributed computing, and wireless networks. My thesis work focuses on harnessing the paradigm of approximate computing to enable applications in resource-limited environments. An overview of my research is available here. 
He received both his Bachelors of Science and Masters of Science degree in Electrical & Computer Engineering from Rutgers School of Engineering.   His research interest are in parallel and distributed computing, cloud computing, data analysis and machine learning. He is currently working on trend analysis on abstract data. Currently using DOC (decentralized online clustering) to create data sets and imaging processing techniques for trend analysis.
Tong is a PhD candidate of ECE Department at Rutgers University, under the guidance of Prof. Manish Parashar. He is also a research assistant in The Applied Software Systems Laboratory (TASSL) and NSF Cloud and Autonomic Computing Center (CAC). Tong obtained his MS degree majoring in Computer Engineering in Rutgers University, USA, and BE degree in Nanjing University of Posts and Telecommunications, China. Tong's research interests are broadly in distributed and parallel computing, data intensive HPC system, cloud computing, and distributed wireless networked systems. His work has been featured in many presses like MIT Technical Review, HPCwire, CBC News, Discover Magazine, ACM Tech News, and NJ Star-ledger.
Tuyen Tran is currently a Ph.D. student in the Department of Electrical & Computer Engineering at Rutgers University under the guidance of Prof. Dario Pompili. He received the B.Eng. degree (honors program) from Hanoi University of Technology, Vietnam in 2011 and the M.Sc. from University of Akron, OH in 2013, all in Electrical & Computer Engineering. From Sept. 2013 to Aug. 2014, he was an engineer at Laird Tech, Akron, OH working on embedded WiFi and Bluetooth solutions. Since Aug. 2014, he has been a research assistant in the Cyber Physical Systems Laboratory (CPS Lab) and the NSF Cloud & Autonomic Computing Center (CAC), Rutgers University. Tuyen’s general research interests are on the applications of optimization, statistics and game theories in the areas of Wireless Communications and Cloud-based Systems.    


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