Proceedings of the 6^th World Congress
on Electrical Engineering and Computer Systems and Science (EECSS'20)

Dr. Ali Adibi
Georgia Institute of Technology (Georgia Tech), USA
EEE'20 Keynote Speaker

Ali Adibi is the director of Bio and Environmental Sensing Technologies (BEST) and a professor and Joseph M. Pettit chair in the School of Electrical and Computer Engineering, Georgia Institute of Technology. His research group has pioneered several structures in the field of integrated nanophotonics for both information processing and sensing. He is the author of more than 150 journal papers and 400 conference papers. He is the editor-in-chief of the Journal of Nanophotonics, and the nanophotonic program track chair of the Photonics West meeting. He is the recipient of several awards including Presidential Early Career Award for Scientists and Engineers, Packard Fellowship, NSF CAREER Award, and the SPIE Technology Achievement Award. He is also a fellow of OSA, SPIE, and AAAS.

Topic of Keynote:
Using Artificial Intelligence Techniques for Design and Knowledge Discovery in Electromagnetic Nanostructures

Dr. Gary H. Bernstein
University of Notre Dame, USA
EEE'20 Keynote Speaker

Gary H. Bernstein received the BSEE from the University of Connecticut, Storrs, with honors, in 1979 and MSEE from Purdue University, W. Lafayette, Indiana, in 1981. During the summers of 1979 and ’80, he was a graduate assistant at Los Alamos National Laboratory, and in the summer of 1983 interned at the Motorola Semiconductor Research and Development Laboratory, Phoenix, Arizona. He received his Ph.D. in Electrical Engineering from Arizona State University, Tempe, in 1987, after which he spent a year there as a postdoctoral fellow. He joined the Department of Electrical Engineering at the University of Notre Dame, Notre Dame, Indiana, in 1988 as an assistant professor, and was the founding Director of the Notre Dame Nanoelectronics Facility (NDNF) from 1989 to 1998. Dr. Bernstein received an NSF White House Presidential Faculty Fellowship in 1992. Promoted to rank of Professor in 1998, he served as Associate Chairman from 1999 to 2006. Bernstein was named the Frank M. Freimann Professor of Electrical Engineering in 2010, and served as the Associate Director of the Notre Dame Center for Nano Science and Technology from 2013 to 2017.

Prof. Bernstein has authored or co-authored 15 patents and more than 300 publications in the areas of electron beam lithography, nanomagnetics, quantum electronics, high-speed integrated circuits, electromigration, MEMS, and electronics packaging. Bernstein was named a Fellow of the IEEE in 2006, and with his student received the Sensors and Transducers Journal Best Paper of the Year Award for 2006 and, as lead author, the IEEE Transactions on Advanced Packaging Best Paper of the Year Award in 2007. He received the Innovation Excellence Award from the Indiana Economic Development Center and Forbes Summit Group, Indianapolis, November, 2014, and the 1st Source Commercialization Award for Quilt Packaging development, April, 2016. Bernstein is cofounder of Indiana Integrated Circuits, LLC (www.indianaic.com) based in South Bend, IN. Bernstein is currently working on a textbook to accompany his “Laboratory Introduction to Electrical Engineering” course.

Topic of Keynote:
Thermoelectrically Coupled Nanoantennas for Solar Research

Dr. Jeremy Brown
Dalhousie University, Canada
ICBES'20 Keynote Speaker

Dr. Jeremy Brown was born in London Ontario Canada in 1978. He received his B.Sc.Eng. in Engineering Physics in 2001, and his Ph.D. in applied physics in 2005. Both from Queen’s University in Kingston, Ontario, Canada. Between March 2006 and January 2008, Dr. Brown completed a Post-Doctoral Fellowship at Sunnybrook Health Sciences Centre in Toronto, Ontario, Canada. In February 2008, Dr. Brown began a faculty position in Biomedical Engineering at Dalhousie University in Halifax, Nova Scotia, Canada and has since been cross appointed to the department of Electrical Engineering. In 2009, he was also appointed as an affiliated scientist at Nova Scotia Health Authority in the department of Surgery. Dr. Brown’s principal research interests include piezoelectric transducer design, fabrication and characterization for both ultrasonic imaging and therapeutic applications. This includes all of the associated electronic hardware required to drive capture and process the ultrasonic signals. His research in high-frequency ultrasound is focused on the development of very high resolution micro-fabricated imaging endoscopes for guided surgical applications. His research in low frequency ultrasound is focused on developing miniature highly focused therapeutic transducers for precision tissue ablation.

Topic of Keynote:
New Ultrasonic Technologies for Endoscopic Surgery

Dr. Tommi Mikkonen
University of Helsinki, Finland
CIST'20 Keynote Speaker

Tommi Mikkonen is a full professor of software engineering at University of Helsinki, Finland. Previously, he has worked at Tampere University of Technology and industrial companies, including Nokia, Sun Microsystems, and Mozilla. He has published over 300 papers on various topics of web software, software engineering and software architectures, and supervised 24 doctoral theses.

Topic of Keynote:
Software Reuse in the Web Era

Dr. KC Santosh
University of South Dakota, USA
MVML'20 Keynote Speaker

Dr. KC Santosh is the Chair and Associate Professor of the Department of Computer Science (CS) at the University of South Dakota (USD). Before that, for 3 years (till 2020), he was the Graduate Program Director of Department of Computer Science (CS), USD. Dr. Santosh served School of Computing and IT, Taylor’s University as a Visiting Associate Professor, for one year (2019/2020). Before joining USD, Dr. Santosh worked as a research fellow at the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). He worked as a postdoctoral research scientist at the LORIA research centre, Universite de Lorraine in direct collaboration with industrial partner ITESOFT, France. He also served as a research scientist at the INRIA Nancy Grand Est research centre, France, where, he has received his PhD diploma in Computer Science. Before that, he worked as a graduate research scholar at the SIIT, Thammasat University, Thailand. Dr. Santosh has published more than 62 peer-reviewed research articles, 95 conference proceedings, and 7 book chapters. He has authored 4 books, and edited 5 books, 14 journal issues, and 6 conference proceedings. He is currently Editor-In-Chief of IJSIP and an Associate Editor for several journals, such as International Journal of Machine Learning & Cybernetics, Springer Nature and IEEE Access. He has also chaired more than 10 international conference events. His research projects have been funded by multiple agencies, including the SDCRGP, Department of Education (DOE), and the National Science Foundation (NSF). Dr. Santosh is the proud recipient of the Presidents Research Excellence Award (USD, 2019) and an award from the Department of Health & Human Services (2014).

Topic of Keynote:
AI for pulmonary abnormality screening: TB, COVID-19, and many more

Dr. Stephan Weiss
University of Strathclyde, UK
MHCI'20 Keynote Speaker

Dr. Stephan Weiss obtained the Dipl.-Ing. degree from the University of Erlangen-Nuernberg, Erlangen, Germany, in 1995, and a PhD from the University of Strathclyde, Glasgow, Scotland, in 1998, both in electronic and electrical engineering. Following previous academic appointments at both the Universities of Strathclyde and Southampton, he is a professor and head of the Centre for Signal and Image Processing (CeSIP) at Strathclyde. Dr. Weiss previously has had visiting roles at the University of Southern California and Samara State Aerospace University, and is currently a guest professor at Alpen-Adria University in Klagenfurt, Austria.

His research interests lie in adaptive, multirate, and array signal processing with applications in communications, audio, and biomedical signal processing, where he has published more than 300 technical papers. His focus for the past years has been to develop techniques for processing broadband multi-sensor signals. For his work in biomedical signal processing, Dr. Weiss was a co-recipient of the 2001 research award of the German society on hearing aids, and was a co-recipient of several best paper awards.

Dr. Weiss is a member of EURASIP and a senior member of the IEEE. Previously, he was the technical co-chair and co-organiser for EUSIPCO 2009 and general chair of IEEE ISPLC 2014, both held in Glasgow, and was part of the organising committee for ICASSP 2019.

Topic of Keynote:
Mathematical Tools for Processing Broadband Multi-Sensor Signals

Dr. Wenwu Wang
University of Surrey, UK
MVML'20 Keynote Speaker

Wenwu Wang is a Professor in Signal Processing and Machine Learning, and a Co-Director of the Machine Audition Lab within the Centre for Vision Speech and Signal Processing, University of Surrey, UK. He is also a Guest Professor at Qingdao University of Science and Technology, China.

He received the B.Sc. degree in 1997, the M.E. degree in 2000, and the Ph.D. degree in 2002, all from the College of Automation, Harbin Engineering University, China. He worked in King’s College London (2002-2003), Cardiff University (2004-2005), Tao Group Ltd. (now Antix Labs Ltd.) (2005-2006), Creative Labs (2006-2007), and University of Surrey (since May 2007). He was a Visiting Scholar at Ohio State University, USA, in 2008. His current research interests include blind signal processing, sparse signal processing, audio-visual signal processing, machine learning and perception, artificial intelligence, machine audition (listening), and statistical anomaly detection. He has (co)-authored over 250 publications in these areas.

He and his team have won the Reproducible System Award on DCASE 2019, Best Student Paper Award on LVA/ICA 2018, the Best Oral Presentation on FSDM 2016, the Top-Quality Paper Award in IEEE ICME 2015, Best Student Paper Award finalists on ICASSP 2019 and LVA/ICA 2010. He and his team have achieved the 1st place in 2020 DCASE challenge on “Urban Sound Tagging with Spatio-Temporal Context”, and the 1st place in the 2017 DCASE Challenge on “Large-scale Weakly Supervised Sound Event Detection for Smart Cars”, the TVB Europe Award for Best Achievement in Sound in 2016, the finalist for GooglePlay Best VR Experience in 2017, and the Best Solution Award on the Dstl Challenge “Under-sampled Signal Recognition” in 2012.

He has been a Senior Area Editor (2019-) and Associate Editor (2014-2018) for IEEE Transactions on Signal Processing. He is an Associate Editor (2020-) for Associate Editor (2019-) for IEEE/ACM Transactions on Audio Speech and Language Processing, and an Associate Editor (2019-) for EURASIP Journal on Audio Speech and Music Processing. He was a Publication Co-Chair for ICASSP 2019, Brighton, UK. He also serves as a Member (2019-) of the International Steering Committee of Latent Variable Analysis and Signal Separation. More information on his personal page: http://personal.ee.surrey.ac.uk/Personal/W.Wang/

Topic of Keynote:
Dictionary Learning and Sparse Signal Recovery for Nonlinear Compressive Measurements