Advisory Board and Editors Embedded Computing
Li-minn Ang
Li-minn Ang is currently the Professor of Electrical and Computer Engineering at the School of Science and Engineering at University of the Sunshine Coast (USC). His research interests are in computer, electrical and systems engineering including Internet of Things (IoT), intelligent systems and data analytics, machine learning, visual information processing, embedded systems, wireless multimedia sensor systems, reconfigurable computing (FPGA) and the development of innovative technologies for real-world systems including smart cities, engineering, agriculture, environment, and health.
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".
Christine L Borgman
Christine L. Borgman, Professor & Presidential Chair in Information Studies at UCLA, is the author Big Data, Little Data, No Data ( 2015), Scholarship in the Digital Age (2007) and From Gutenberg to the Global Information Infrastructure (2000), and about 200 other publications in information studies, computer science, and communication. She is a Fellow of the ACM and of AAAS; and a member of the Board of Directors of the Electronic Privacy Information Center.
Krishnendu Chakrabarty
Current research is focused on testing & design-for-testability of integrated circuits; digital microfluidics, biochips, & cyberphysical systems; optimization of digital print and production system infrastructure. Currently an ACM Distinguished Speaker & has been a Distinguished Visitor of the IEEE Computer Society. Recipient of many awards, including the Humboldt Research Award. Editor-in-Chief of ACM Journal on Emerging Technologies in Computing Systems and IEEE Transactions on VLSI Systems.
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.
Peter Denning
Distinguished professor of computer science at Naval Postgraduate School. Past president of ACM. Past editor in chief of Communications of ACM. Currently editor of ACM Ubiquity. Author of ten books, most recent Great Principles of Computing (MIT Press 2015). Author of over four hundred scientific papers and articles.
Syed Anas Imtiaz
I am a researcher in wearable medical devices working on creating new technologies for the monitoring and diagnosis if neurological, neurodevelopmental and sleep disorders. My research focuses on developing new biomedical signal processing methods, algorithms and mixed-signal circuit design for wearable systems, low power digital circuits for medical applications and embedded systems design. I am a Research Fellow at Imperial College London where I am developing new technologies for long-term monitoring, management and diagnosis of COPD, sleep disorders, epilepsy, and autism. I am also the Head of Engineering at Acurable leading development and at-scale manufacturing of a wearable medical device and its accompanying smartphone applications for the diagnosis of respiratory disorders.
Miriam Leeser
Miriam Leeser is Professor of Electrical and Computer Engineering at Northeastern University. She has been doing research in hardware accelerators, including FPGAs and GPUs, for decades, and has done ground breaking research in floating point implementations, unsupervised learning, medical imaging and privacy preserving data processing. She received her BS degree in Electrical Engineering from Cornell University, and Diploma and Ph.D. Degrees in Computer Science from Cambridge University in England. She has been a faculty member at Northeastern since 1996, where she is head of the Reconfigurable Computing Laboratory and a member of the Computer Engineering group. She is a senior member of ACM, IEEE and SWE. Throughout her career she has been funded by both government agencies and companies, including DARPA, NSF, Google, MathWorks and Microsoft. She is the recipient of an NSF Young Investigator Award and the prestigious Fulbright Scholar Award.
My research group website is: https://rcl.sites.northeastern.edu/
Pengcheng Liu
Pengcheng Liu is a member of IEEE, IEEE Robotics and Automation Society (RAS), IEEE Control Systems Society (CSS) and International Federation of Automatic Control (IFAC). He is also a member of the IEEE Technical Committee on Bio Robotics, Soft Robotics, Robot Learning, and Safety, Security and Rescue Robotics. Dr Liu is an Associate Editor of IEEE Access, PeerJ Computer Science, and he received the Global Peer Review Awards from Web of Science in 2019, and the Outstanding Contribution Awards from Elsevier in 2017. He has published over 70 papers on flagship journals and conferences. He was nominated as a regular Funding/Grants reviewer for EPSRC, NIHR and NSFC and he has been leading and involving in several research projects and grants, including EPSRC, Newton Fund, Innovate UK, Horizon 2020, Erasmus Mundus, FP7-PEOPLE, NSFC, etc. He serves as reviewers for over 30 flagship journals and conferences in robotics, AI and control. His research interests include robotics, machine learning, automatic control and optimization.
Chan Hwang See
Dr. Chan H. See received a first class B.Eng. Honours degree in Electronic, Telecommunication and Computer Engineering and a Ph.D. degree from the University of Bradford, UK respectively. He is a Professor in School of Computing, Engineering and the Built Environment, Edinburgh Napier University, UK. Previously (2019-2022), he was the Head of Electrical Engineering and Mathematics within School of Engineering and the Built Environment, in the same University. Prior to this, he was a Senior Lecturer (Programme Leader) in Electrical & Electronic Engineering, School of Engineering, University of Bolton, UK. Before this, he was a Senior Research Fellow in the Antennas and Applied Electromagnetics Research Group within the University of Bradford. His research interests cover wireless sensor network system design, wireless power transfer, Internet of Things (IoTs), sensor technologies, computational electromagnetism, antennas and Bioelectromagnetics. He has published over 300 peer-reviewed journal articles and conference papers in the areas of antennas, computational electromagnetics, microwave circuits, acoustic sensors and wireless sensor system designs. He is a co-author for one book and three book chapters. He was a recipient of two Young Scientist Awards from the International Union of Radio Science (URSI) and Asia-Pacific Radio Science Conference (AP-RASC) in 2008 and 2010, respectively. Dr. See is a Chartered Engineer (CEng), Fellow of the Institution of Engineering and Technology (FIET) and senior member of IEEE (SMIEEE). He is also a Fellow of the Higher Education Academy, an EPSRC full college member, Associate Editor for IEEE Access, Scientific Reports, Frontiers in Antennas Propagations, Peerj Computer Science and Wireless Power Transfer journals.
Syed Hassan Shah
Syed Hassan Shah is a Wi-Fi connectivity subject matter expert with the Qualcomm Inc. product management team, where he is involved in Consumer and Compute Wireless products with a focus on Mi-Fi, CPE, and UWB technologies. In addition to that, Dr. Shah is also an adjunct faculty member at California State University, Fullerton Campus, where he teaches computer science courses to graduate classes. Over the past decade, Dr. Shah held multiple industrial & academic roles such as a Product Specialist for Distributed Antenna Systems (DAS), CBRS, Private LTE, Digital Electricity, and open RAN product lines. Dr. Shah was an Assistant Professor in the Department of Computer Science at Georgia Southern University, USA followed by a Post-Doctoral Fellowship at the University of Central Florida, Orlando, USA. Before moving to the United States, he completed his BS with honors in CS from Kohat University of Science & Technology (KUST), Pakistan, and his Ph.D. Degree (combined with Masters) from the School of Computer Science and Engineering (SCSE), Kyungpook National University (KNU), Republic of Korea (South Korea). During the summer of 2015, he was invited as a distinguished visiting researcher at Georgia Tech, Atlanta, USA to investigate MAC layer findings in IEEE 1609.4 protocol stacks. Overall, Dr. Shah has authored/co-authored over 250 peer-reviewed international publications including Journal articles, Conference Proceedings, Book Chapters, and 05 books. In 2016, his work on robust content retrieval in future vehicular networks won the Qualcomm Innovation Award at KNU, South Korea. Dr. Shah's research interests include Wireless and Ad hoc Networks, Cyber-Physical Systems, Smart Cities, Connected Vehicles, and Future Internet architectures.
Furthermore, Dr. Shah is a Senior IEEE and ACM member, served as a TPC Member or Reviewer in over 100 International Conferences and Workshops including IEEE Globecom, IEEE ICC, IEEE CCNC, IEEE ICNC, IEEE VTC, IEEE INFOCOM, ACM CoNEXT, ACM MobiHoc, ACM SAC, and many more. Furthermore, he has been reviewing papers for over 50 different International Journals including IEEE Magazines on Wireless Communications, Networks, Communications, IEEE Communications Letters, IEEE Sensors Letters, IEEE Transactions on Industrial Informatics, and Vehicular Technologies, Intelligent Transportation Systems, Big Data, and Mobile Computing. Moreover, Dr. Shah has been an editorial member of more than 60 Special Issues with top-ranked journals in Communication Society and served as an editorial board member of KSII Transactions on Internet & Information Systems, Wiley's Internet Technology Letters, Transactions on Emerging Telecommunications Technologies, IEEE Newsletters on Internet Initiative, Future Directions, and Software Defined Networks. Dr. Shah has been an appointee of the Board of Governors of the IEEE Vehicular Technology Society as liaison to IEEE Young Professionals society for the year 2018-2019. Since 2018, he is also an ACM Distinguished Speaker.
Stefan Wagner
Stefan Wagner is full professor of software engineering at the Technical University of Munich in the TUM School of Communications, Information and Technology. He studied computer science in Augsburg and Edinburgh and psychology in Hagen. He holds a doctoral degree in computer science from TU Munich, where he also worked as a post-doc. Previously, he was a full professor at the University of Stuttgart. His main research interests are empirical studies, software quality, human factors, AI-assisted software engineering, AI-based software and automotive software. He is a member of GI and a senior member of ACM and IEEE.