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).
Çağdaş joined the Department of Electrical and Computer Engineering (ECE) at Rutgers University in 2012. He is currently under the guidance of Dr. Dario Pompili as a member of the Cyber Physical Systems Laboratory (CPS Lab). He obtained his Master's in Computer Engineering from Ege University, Turkey under the guidance of Dr. Aylin Kantarci. During his Master's his research was focussed on Fountain codes in MANETS. He also worked for companies CVM, Vestel.
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.
Hari is a graduate student with the Department of Electrical and Computer Engineering at Rutgers University, NJ. He started his Ph.D under the guidance of Dr. Dario Pompili at the Center for Autonomic Computing, Rutgers University in 2009. Previously, he worked on evaluation of radio resource and spectrum management algorithms on 802.11n devices in collaboration with Thomson Corporate Research (now Technicolor), NJ for his Master's thesis. He obtained his Bachelor's Degree in Electronics and Communication Engineering from PSG College of Technology, Coimbatore, India. He is an IEEE student member.
Mahmoud Ramezani Mayiami joined the Department of Electrical and Computer Engineering (ECE), Rutgers University as a Ph.D student in 2013. He is currently working under the guidance of professor Dario Pompili as a member of Cyber Physical Systems Laboratory (CPS Lab). Previously, he worked on compressive sensing applications in communication systems and worked on an MS thesis titled "Communication via Compressed Sensing Based on Noise and Security Approaches". 
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.
Moustafa AbdelBaky is a PhD student at Rutgers University and an IBM PhD Fellow. He received his undergraduate degree from the Rutgers School of Engineering with a major in Electrical & Computer Engineering, and a major in Computer Science. 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. He is currently working 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 is also working 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 is working 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.
She is a graduate student with the Department of Electrical and Computer Engineering at Rutgers University, NJ. She is pursuing her Ph.D under the guidance of Dr. Dario Pompili at the Center for Autonomic Computing, Rutgers University, NJ. She obtained her Master's Degree in Electrical and Computer Engineering from The University of Utah. Her advisors were Dr. Adam Bolton and Dr. Neal Patwari. She obtained her Bachelor's Degree in Electronics and Communication Engineering from Indira Gandhi Institute of Technology, Delhi, India.
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.

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