Advisory Board and Editors Computer Aided Design
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 systems 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 80 peer-reviewed papers and has been 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.
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.
Gang Mei
Dr. Gang Mei is an Associate Professor in Scientific Computing in Engineering at China University of Geosciences (Beijing). He received his Ph.D degree in 2014 from the University of Freiburg in Germany. His main research interests are in the areas of Numerical Simulation and Computational Modeling, GPU Computing, Machine Learning, Data Mining, and Network Science and Applications. He is the IEEE Member, and has served as an Academic Editor for the journals IEEE Access, and PeerJ Computer Science.
Jorddy Neves Cruz
Dr. Jorddy Neves Cruz is researcher in Federal University of Pará and Paraense Emílio Goeldi Museum. His research focuses on (1) Medicinal Chemistry, with a particular emphasis on natural products and drug discovery/ design; (2) Extraction and characterization of compounds of natural origin (isolated compounds, essential oils, and fixed oils); (3) molecular modeling approaches and (4) evaluation of biological activities and pharmacological potential of natural compounds.
Duc D Nguyen
Dr. Duc Nguyen is an Assistant Professor in the Department of Mathematics at the University of Kentucky. His research interests lie at the interface of data science, mathematical biology, and scientific computing. He has developed several popular online servers for drug design communities such as FRI, RI-Score, DG-GL, and AGL-Score. By integrating mathematics and deep learning, Dr. Nguyen won the most number of contests in the past three D3R Grand Challenges, an annual worldwide competition series in computer-aided drug design. That success has stimulated his partnerships with Bristol-Myers Squibb for developing quantitative systems pharmacological models and with Pfizer for drug de novo hit identification.