628 CoRE, Department of Electrical & Computer Engineering
Manish Parashar is Professor of Electrical and Computer Engineering at Rutgers University, and is also co-director of the Center for Autonomic Computing, director of the The Applied Software Systems Laboratory (TASSL), and Associate Director of the Rutgers Center for Information Assurance (RUCIA). Recently, he joined the National Science Foundation as a Program Director in the Office of Cyberinfrastructure (OCI) working on the Cyberinfrastructure Framework for 21st Century Science and Engineering (CF21) vision.
He is affiliated with CAIP, WINLAB, CBIM and IMCS, and currently holds a visiting postion at the eScience Institute at Edinburgh, UK. He has held a joint research appointment with the Center for Subsurface Modeling, The University of Texas at Austin , and a visiting position at the Laboratoire d'InfoRmatique en Images et Systemes d'information (LIRIS) , Lyon France. He has also been a visiting fellow at the Department of Computer Science and DOE ASCI/ASAP Center, California Institute of Technology, at the DOE ASCI/ASAP FLASH Center, University of Chicago, and at the Max-Plank Institute in Potsdam, Germany.
His research interests are in the broad area of parallel and distributed computing and include pervasive computational systems, autonomic computing, Grid peer-to-peer computing, scientific computing and software engineering. A key focus of his current research is on solving scientific and engineering problems on very large systems and the integration of physical and computational systems.
621 CoRE, Department of Electrical & Computer Engineering
Hyunjoo Kim is a postdoctoral associate with the Department of Electrical and Computer Engineering at Rutgers University. She received a B.S. degree in Physics from Ewha Women’s University, Seoul, Korea, and an integrated M.S. and Ph.D. degree in Computer Science and Engineering from Seoul National University, Seoul, Korea in 2007. She was with an IT company, SICC, working on developing Management Information Systems from 1996 to 1999.
She has researched about scalable media streaming over peer-to-peer network and digital broadcast network, and fault-tolerance for distributed systems. She has been involved several e-Science projects for Construction of Numerical Wind Tunnel, High Voltage Electron Microscope and Construction Engineering, and Cryptanalysis project for the Symmetric/Public Key Cryptosystem. Currently she is working on the area of Cloud/Grid computing and Autonomic computing. Her research interests are in the wide area of distributed computing systems including Cloud/Grid computing, Autonomic computing, Peer-to-Peer as well as media streaming.
625 CoRE, Department of Electrical & Computer Engineering
Ivan Rodero is currently a Visiting Assistant Professor of the Electrical and Computer Engineering (ECE) Department at Rutgers University, the State University of New Jersey. He is also member of The Applied Software Systems Laboratory (TASSL) and the NSF Center for Autonomic Computing (CAC). He is also consultant in Open University of Catalonia (UOC) - distance learning University. He received an integrated BS and MS degree in Computer Science and Engineering in 2004 and a PhD degree in February 2009 from Technical University of Catalonia (UPC).
Before joining Rutgers, Ivan Rodero was researcher at Barcelona Supercomputing Center (BSC) within the Grid and Clusters group, part-time Lecturer Professor of the Computer Architecture Department (DAC) of UPC, and member of the High Performance Computing research group of DAC.
He has been involved in several BSC, CEPBA-IBM Research Institute (CIRI) and EU-founded research projects such as eNANOS, HPC-Europa, CoreGRID, Latin American Grid (LA Grid), Mareincognito and XtreemOS. He has published several papers in international conferences, journals and workshops. He also has served in program committees of international conferences and workshops, and has served as a referee for journals. His research interests are in the area of parallel and distributed computing and include high performance computing, autonomic computing, Grid computing, virtualization, Cloud computing and Green Computing.