Electrical and Computer Engineering

Dr. Eung-Joo Lee has been appointed as an assistant professor in the Electrical and Computer Engineering department at the University of Arizona. Before this, he was a research fellow at Harvard Medical School and Massachusetts General Hospital, and he completed His educational background includes a Ph.D. from the University of Maryland, an M.S. from the Korea Advanced Institute of Science & Technology, and dual B.S. degrees from the University of Texas at Dallas and Inha University in South Korea.

During his doctoral studies, he worked under the guidance of Professor Shuvra S. Bhattacharyya, focusing on signal and image processing, medical image analysis, and machine learning applications. He also engaged in a research internship at the U.S. Army Research Laboratory. Dr. Lee's research primarily focuses on image analysis, aiming to make it robust and efficient, especially for the deployment of systems with limited resources. Specifically, his research includes two primary areas: improving model robustness by creating and enhancing datasets, and developing efficient deep neural network models for practical use. He aims to overcome challenges associated with limited annotations in deep learning and to create efficient models for applications in embedded computer vision and medical imaging.

Additionally, Dr. Lee has published a number of articles in international journals and conference proceedings, focusing on the fields of computer vision and medical imaging. He has also worked as a member of the program committee for the International Workshop on Multiscale Multimodal Medical Imaging (MMMI) in conjunction with the 25th MICCAI, served on a technical committee at MICCAI, and held guest editor roles in multiple journals. He is currently working as an editorial board member at the Journal of Signal Processing Systems.

 

Ali Akoglu is an Associate Professor in the Department of Electrical and Computer Engineering and the BIO5 Institute at the University of Arizona. He received his Ph.D. degree in Computer Science from the Arizona State University in 2005. He is the site-director of the National Science Foundation (NSF), Industry-University Cooperative Research Center on Cloud and Autonomic Computing regarding the design and development of architectures for achieving self-management capabilities across the layers of cloud computing systems. Dr. Akoglu is an expert in high performance scientific computing and parallel computing with a primary focus on restructuring computationally challenging algorithms for achieving high performance on field programmable gate array (FPGA) and graphics processing unit (GPU) hardware architectures. Recently he has contributed to the scientific computing domain with: 1) design and development of novel computational methods on T-Cell Receptor (TCR) synthesis for studying the immune systems of complex organisms, which led to reducing the time scale of determining all possible ways (several trillions of sequences) in which proteins can be encoded from 62 months scale to 19 hours on a single GPU; 2) investigation of electrophysiological behavior of the heart by coupling tissue and cell models in a such a way that through physics aware programming (PAP) paradigm 3D heart simulations become parallelizable without sacrificing model accuracy, which led to reducing the time scale of such simulations from 453 hours to 1.66 seconds with a simulation accuracy of 99.9% Dr. Akoglu has been involved in many crosscutting collaborative projects with the goal of solving the challenges of bridging the gap between the domain scientist, programming environment and emerging highly-parallel hardware architectures. His research projects have been funded by the National Science Foundation, Defense Advanced Research Projects Agency, Office of Naval Research, US Air Force, NASA Jet Propulsion Laboratories, Army Battle Command Battle Laboratory, and industry partners such as Nvidia and Raytheon.

Dr. Li is a Research Assistant Professor in the Department of Electrical and Computer Engineering at the University of Arizona. He received his Ph.D. degree in Electrical and Computer Engineering from the University of Arizona in 2019. He is the associate director of Center to Stream Healthcare in Place regarding the development of in-home technologies for managing chronic diseases. Dr. Li is an expert in machine learning and sleep disorders with a primary focus on design home-based healthcare systems. His research projects have been funded by the National Science Foundation. Dr. Li's current research activities focus on the sleep disorders, contactless sensors, and development of in-home technologies for chronic diseases screening, diagnosis, and management.

Dr. Bane Vasic is a Professor of Electrical and Computer Engineering and Mathematics at the University of Arizona. He is affiliated with BIO5, the Institute for Collaborative Beoresearch, and is a Director of the Error Correction Laboratory.Dr. Vasic is an inventor of the soft error-event decoding algorithm, and the key architect of a detector/decoder for Bell Labs read channel chips which were regarded as the best in industry. His pioneering work on structured low-density parity check (LDPC) error correcting codes and invention of codes has enabled low-complexity iterative decoder implementations. Dr. Vasic is known for his theoretical work in error correction coding theory and codes on graphs which has led to analytical characterization of the hard decision iterative decoders of LDPC codes, and design of codes with best error-floor performance known today. He has led a project "Error Correction Algorithms for DNA Repair: Inference, Analysis, and Intervention" funded by the NSF.He is an IEEE Fellow and da Vinci Fellow.

Jerzy W. Rozenblit is University Distinguished Professor, Raymond J. Oglethorpe Endowed Chair in the Electrical and Computer Engineering Department, and Professor of Surgery in the College of Medicine at The University of Arizona. From 2003 to 2011 he served as the ECE Department Head. During his tenure at the University of Arizona, he established the Model-Based Design Laboratory with major projects in design and analysis of complex, computer-based systems, hardware/software codesign, and simulation modeling. The projects have been funded by the National Science Foundation, US Army, Siemens, Infineon Technologies, Rockwell, McDonnell Douglas, NASA, Raytheon, and Semiconductor Research Corporation. He has extensive teaching experience and conducts a vigorous graduate program as evidenced by many successful PhD and MSc students and Best Teacher awards. Dr. Rozenblit has been active in professional service in capacities ranging from editorship of ACM, IEEE, and Society for Computer Simulation Transactions, program and general chairmanship of major conferences, to participation in various university and departmental committees. Among several visiting assignments, he was a Fulbright Senior Scholar and Visiting Professor at the Institute of Systems Science, Johannes Kepler University, Austria, Research Fellow at the US Army Research Laboratories, Visiting Professor at the Technical University of Munich, University of Perugia, and Fulbright Senior Specialist in Cracow, Poland. Over the years, he has developed strong associations with the private sector and government entities. His management and project experience includes over $20 million in externally funded research. He had served as a research scientist and visiting professor at Siemens AG and Infineon AG Central Research and Development Laboratories in Munich, where over the years he was instrumental in the development of design frameworks for complex, computer-based systems. Currently, jointly with the Arizona Surgical Technology and Education Center, he is developing computer guided training methods and systems for minimally invasive surgery. Co-author of several edited monographs and over two hundred publications, Jerzy holds the PhD and MS degrees in Computer Science from Wayne State University, Michigan. He presently serves as Director of the Life-Critical Computing Systems Initiative, a research enterprise intended to improve the reliability and safety of technology in healthcare and life-critical applications.

Janet M. Wang-Roveda is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Arizona in Tucson. She received her M.S. and Ph.D. degrees in Electrical Engineering and Computer Sciences from the University of California, Berkeley in 1998 and 2000, respectively. She was a recipient of the NSF career award and the Presidential Early Achievement Award for Science and Engineering at White House in 2005 and 2006, respectively. She was the recipient of the 2008 R. Newton Graduate Research Award from the EDA community, and the 2007 USS University of Arizona Outstanding Achievement Award. She received the best paper award in journal of clean energy in 2013, ISQED 2010 as well as best paper nominations in ASPDAC 2010, ICCAD 2007, and ISQED 2005. Her primary research interests focus on robust VLSI circuit design, biomedical instrument design, Smart grid, VLSI circuit modeling/design and analysis, and low power multi-core system design. She has over 120 publications.

Raymond Kostuk, PhD, has a primary goal to investigate photonic techniques that enhance the capabilities of imaging, communication, sensing, and light collection and concentrator systems. His research includes fundamental and applied studies of photonic materials and devices, as well as system concepts that are based on photonics.