Advisory Board and Editors Computer Aided Design
Khursheed Aurangzeb
Dr. Khursheed Aurangzeb is Associate Professor in Department of Computer Engineering at College of Computer and Information Sciences at King Saud University (KSU), Riyadh, Saudi Arabia. He received his Ph.D. degree in Electronics Design from Mid Sweden University Sweden in June 2013, MS degree in Electrical Engineering (System on Chip Design) from Linkoping University, Sweden in 2009. He received his B.S. degree in Computer Engineering from COMSATS Institute of Information Technology Abbottabad, Pakistan in 2006. He has authored and co-authored more than 70 publications including IEEE / ACM / Springer / Hindawi / MDPI journals, and flagship conference papers. He has obtained more than fifteen years of excellent experience as instructor and researcher in data analytics, machine/deep learning, signal processing, electronics circuits/systems and embedded systems. He has been involved in many research projects as a principal investigator and a co-principal investigator. His research interest are in the diverse fields of embedded systems, computer architecture, VLSI, signal processing, wireless sensor networks, camera based sensor networks, AI/ML/DL and smart grids with an emphasis on big data, precision agriculture, machine/deep learning, embedded and pervasive computing, mobile cloud computing and healthcare.
Woorham Bae
Woorham Bae received his B.S. and Ph.D. degrees in electrical and computer engineering from Seoul National University, Seoul, Korea, in 2010 and 2016, respectively.
In 2016, he was with the Inter-University Semiconductor Research Center, Seoul National University, Seoul, Korea. From 2017 to 2019, he was with the University of California, Berkeley, CA, as a Postdoctoral Researcher. He is currently a Senior Engineer with Ayar Labs, Santa Clara, CA. He is the author of Analysis and Design of CMOS Clocking Circuits for Low Phase Noise (London, UK: Institution of Engineering and Technology). His current research interests include integrated circuits for silicon photonics, high-speed I/O circuits and architectures, non-volatile memory systems, and agile hardware design methodology.
Dr. Bae serves as an Associate Editor of IEEE Access (2018~) and an Editorial Review Board of IEEE Solid-State Circuits Letters (2017~). He received the IEEE Circuits and Systems Society Outstanding Young Author Award in 2018, the Distinguished Ph.D. Dissertation Award from the Department of Electrical and Computer Engineering, Seoul National University in 2016, the IEEE Circuits and Systems Society Pre-Doctoral Scholarship in 2016, the IEEE Solid-State Circuits Society STG Award in 2015.
Mario Luca Bernardi
I received the Laurea degree in Computer Science Engineering from the University of Naples Federico II, Italy, in 2003 and the Ph.D. degree in Information Engineering from the University of Sannio in 2007.
Since 2003 I have worked as a researcher in the field of software engineering writing more than 90 papers published in journals and conference proceedings. My main research interests include software maintenance and testing, software reuse, software reverse engineering, and re-engineering, with a particular interest in software modularization.
I also served both as a member of the program and organizing committees of several international conferences, and as a reviewer of papers submitted to some of the main journals and magazines in the field of data and process mining, software engineering, software maintenance, program comprehension, and the application of computational intelligence approaches in the above fields.
Currently, I am an Senior Researcher at University of Sannio, holding the course of "Pervasive Computing".
M Emilia Cambronero
María Emilia Cambronero received a Ph.D. degree from the University of Castilla-La Mancha, in 2007, where she was an Assistant Professor for several years. She is currently a Full Professor of computer science with Castilla-La Mancha University, Spain. Her research goals are aimed to make the software more reliable, more secure, and easier to design. Her research interests include software engineering and related areas, including contract specification, program monitoring, testing, and verification. Her research combines strong theoretical foundations with realistic experimentation in the areas of web services and cloud computing.
Paulo Jorge Coelho
Paulo Coelho graduated in Electrical Engineering in 2004 from Coimbra University, obtained his Specialization Course in Automation and Control in 2007 by Coimbra University, and a Ph.D. in Informatics in 2019 by Trás-Os-Montes and Alto Douro University.
He is an Adjunct Professor at the Electrical Engineering Department at the School of Technology and Management of the Polytechnic University of Leiria, where he has mainly lectured Curricular Units in the areas of Microprocessors, Industrial Automation and Computer Vision, since 2004.
Paulo Coelho is currently a former course director and former member of the Scientific-Pedagogical Committee for the Master's in Electrical and Electronic Engineering at Polytechnic of Leiria. He is currently an integrated researcher at ROBiTECH (Advanced Robotics and Smart Factories) group, in the INESC Coimbra (delegation in Leiria). He is also a member of the Portuguese Engineers Order and the Portuguese Association for Pattern Recognition.
His research interests are focused on industrial automation, computer vision-based applications, biomedical imaging analysis, ambient assisted living solutions, assistive technologies for reducing impairments, and the application of machine learning and deep learning in these research areas. He has authored more than 45 publications in refereed journals, book chapters, and conferences.
Lynn Conway
Professor Emerita of Electrical Engineering & Computer Science, University of Michigan. Architect and principal author of the landmark 'Mead-Conway' text, "Introduction to VLSI Systems". Pioneering innovator of the digital e-commerce "fabless-design + silicon-foundry" microelectronics ecosystem. Elected Fellow, IEEE. Elected Member, NAE. Hon. Degrees, Trinity College and Illinois Institute of Technology. Wetherill Medal, Franklin Institute. James Clerk Maxwell Medal, IEEE.
Yu Dong
Dr. Yu Dong is Associate Professor in Mechanical Engineering, School of Civil and Mechanical Engineering at Curtin University, Australia. He has extensive research expertise in polymer nanocomposites, electrospun nanofibres, green composites, micromechanical modelling, nanomanufacturing and design of experiments. He is a lead editor for "Manufacturing, Characterisation and Properties of Advanced Nanocomposites", MDPI, Switzerland , and "Fillers and Reinforcements for Advanced Nanocomposites", Elsevier, UK, and a sole editor for "Nanostructures: Properties, Production Methods and Applications", NOVA Science Publishers, USA. Dr. Dong is an associate editor for Journals of Frontiers in Materials (Polymeric and Composite Materials section) and Applied Nanoscience.
Ahmed Elazab
Ahmed Elazab received his Ph.D. degree in pattern recognition and intelligent system from Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, China, Jan 2017. He was a postdoctoral research fellow from Jan 2018 to April 2020 at the School of Biomedical Engineering, Shenzhen University, Shenzhen, China where he is currently a research associate since Jan 2021. Dr. Elazab has authored and co-authored more than 50 peer-reviewed papers and has served as a reviewer in prestigious peer-reviewed international journals. His main research interests include machine and deep learning, medical image analysis, brain anatomy analysis, and computer-aided detection and diagnosis.
Mahesh Gokara
Dr. Mahesh Gokara is a Postdoctoral Research Fellow in the Department of Cancer Biology at the Mayo Clinic. He has a Ph.D biochemistry with an experience of over 10 years in multidisciplinary research areas including biochemistry, biophysics and bioinformatics.
Victor J. Hruby
Regents Professor of Chemistry and Biochemistry at the University of Arizona. Professor of Neuroscience recently inducted into the ACS Hall of Fame and 2011 ACS Goodman Award for Scientific Excellence and Mentorship.
Alex Kentsis
Assistant Professor of Pediatrics at the Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College of Cornell University.
He leads research in the functional proteomics and genomic plasticity of refractory childhood cancers.
Radu Marculescu
In 2020, Prof. Radu Marculescu moved to The University of Texas at Austin.
Radu Marculescu is a Professor in the Dept. of Electrical and Computer Engineering at Carnegie Mellon University, USA. He received his Ph.D. in Electrical Engineering from the University of Southern California in 1998.
Radu's current research focuses on developing methods and tools for modeling and optimization of embedded systems, cyber-physical systems, social networks, and biological systems. Radu Marculescu is a Fellow of IEEE cited for his contributions to the design and optimization of on-chip communication for embedded multicore systems.