Program

7th World Congress on Electrical Engineering and
Computer Systems and Science (EECSS'21)

July 29 - 31, 2021 | Prague, Czech Republic
Due to COVID'19 pandemic it will be done VIRTUALLY

Our program schedule is based on Eastern Time (ET - Ottawa Time)

The EECSS'21 Congress is composed of 5 conferences



Our program is based on EST (Eastern Standard Time - Time zone in Ottawa)


Thursday, July 29

10:00 AM - 12:00 PM

Registrations

EECSS'21 Scientific Committee Chair:


Dr. Luigi Benedicenti


University of New Brunswick, Canada
Congress Chair
Website


Dr. Zheng Liu


University of British Columbia, Canada
Congress Co-Chair
Website

8:00 AM - 9:00 AM

Registration

9:00 AM - 9:10 AM
Official Opening
Dr. Luigi Benedicenti, University of New Brunswick, Canada & Dr. Zheng Liu, University of British Columbia, Canada
9:10 AM - 10:10 AM Plenary Lecture
Towards Automating the Data Analytics Process
Dr. Chris Williams, University of Edinburgh, UK
10:10 AM - 10:55 AM Plenary Lecture
Modern Hopfield Networks
Dr. Sepp Hochreiter, Johannes Kepler University, Austria
10:55 AM - 11:00 AM

Break

11:00 AM - 12:05 PM Session
Biomedical Science and Engineering I
12:05 PM - 12:25 PM

Lunch Break

12:25 PM - 1:25 PM Plenary Lecture
How Can Machine Learning Help Computer Vision in the Next Decade?
Dr. Max Welling, University of Amsterdam, Netherlands
1:25 PM - 2:10 PM Keynote Lecture
Reinforcement Learning for Large-Scale Communications and Computer Infrastructures
Dr. Kin K. Leung, Imperial College London, UK
2:10 PM - 2:15 PM

Break

2:15 PM - 3:30 PM Session
Artificial Intelligence
3:30 PM - 3:40 PM

Break

3:40 PM - 4:10 PM Session
Electrical Engineering and Electronics I

MVML Plenary Lecture

July 30 | 9:10 AM - 10:10 AM | Session Chair: Dr. Luigi Benedicenti, University of New Brunswick, Canada


Towards Automating the Data Analytics Process
Dr. Chris Williams, University of Edinburgh, UK



Chris Williams is Professor of Machine Learning and Director of Research in the School of Informatics, University of Edinburgh. His main areas of research are in visual object recognition and image understanding, models for understanding time-series, AI for data analytics, unsupervised learning, and Gaussian processes. He obtained his MSc (1990) and PhD (1994) at the University of Toronto, under the supervision of Geoff Hinton. He was elected a Fellow of the Royal Society of Edinburgh in 2021, is a Fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS), a Turing Fellow at the Alan Turing Institute (UK), and was program co-chair of the NeurIPS conference in 2009.


View Abstract Return to Top ⇑

MVML Plenary Lecture

July 30 | 10:10 AM -10:55 AM | Session Chair: Dr. Luigi Benedicenti, University of New Brunswick, Canada


Modern Hopfield Networks
Dr. Sepp Hochreiter, Johannes Kepler University, Austria


Sepp Hochreiter is heading the Institute for Machine Learning, the LIT AI Lab and the AUDI.JKU deep learning center at the Johannes Kepler University of Linz and is director of the Institute of Advanced Research in Artificial Intelligence (IARAI). He is regarded as a pioneer of Deep Learning as he discovered the fundamental deep learning problem: deep neural networks are hard to train, because they suffer from the now famous problem of vanishing or exploding gradients. He is best known for inventing the long short-term memory (LSTM) in his diploma thesis 1991 which was later published in 1997. LSTMs have emerged into the best-performing techniques in speech and language processing and are used in Google’s Android, in Apple’s iOS, Google’s translate, Amazon’s Alexa, and Facebook’s translation. Currently, Sepp Hochreiter is advancing the theoretical foundation of Deep Learning, investigates new algorithms for deep learning, and reinforcement learning. His current research projects include Deep Learning for climate change, smart cities, drug design, for text and language analysis, for vision, and in particular for autonomous driving.


View Abstract Return to Top ⇑

Session

July 30 | 11:00 AM - 12:05 PM | Session Chair: Dr. Zheng Liu, University of British Columbia, Canada & Dr. Kyrin Liong, Singapore Institute of Technology, Singapore


Biomedical Science and Engineering I


ICBES 103
Time: 11:00 - 11:15
Presenter: Anoop Menachery, Malta College of Arts, Science and Technology, Malta
Authors: Ayoola Brimmo, Mohammad Qasaimeh, Anoop Menachery

ICBES 109
Time: 11:15 - 11:30
Presenter: Eleni Chatzilakou, Aristotle University of Thessaloniki, Greece
Authors: Eleni Chatzilakou, Olga Tsave, Christos Chatzidoukas

ICBES 105
Time: 11:30 - 11:45
Presenter: Aiden J Hannah, University of Strathclyde, UK
Authors: Aiden J Hannah, Andrew C Ward, Patricia Connolly

ICBES 111
Time: 11:45 - 11:50
Presenter: Yulia Malkova, Drexel University, USA
Authors: Yulia Malkova, Sijie, Ran, Gary Friedman

ICBES 112
Time: 11:50 - 12:05
Presenter: Vibha Addala, Jesuit High School, USA
Authors: Vibha Addala


Return to Top ⇑

MVML Keynote Lecture

July 30 | 12:25 PM - 13:25 PM | Session Chair: Dr. Zheng Liu, University of British Columbia, Canada


How Can Machine Learning Help Computer Vision in the Next Decade?
Dr. Max Welling, University of Amsterdam, Netherlands


Prof. Dr. Max Welling is a research chair in Machine Learning at the University of Amsterdam (AMLAB) and a VP Technologies at Qualcomm. He is a fellow at the Canadian Institute for Advanced Research (CIFAR) and at the European Lab for Learning and Intelligent Systems (ELLIS). Max Welling has served as associate editor in chief of IEEE TPAMI from 2011-2015 and is on the board of the NeurIPS foundation since 2015 and has been program chair and general chair of NeurIPS in 2013 and 2014 respectively. He was also program chair of AISTATS in 2009 and ECCV in 2016 and general chair of MIDL 2018. He is recipient of the ECCV Koenderink Prize in 2010. Welling is co-founder and board member of the Innovation Center for AI (ICAI) and the European Lab for Learning and Intelligent Systems (ELLIS). He directs the Amsterdam Machine Learning Lab (AMLAB), and co-directs the Qualcomm-UvA deep learning lab (QUVA), the Bosch-UvA Deep Learning lab (DELTA) and the Amsterdam ELLIS Unit.


View Abstract Return to Top ⇑

CIST Keynote Lecture

July 30 | 1:25 PM -2:10 PM | Session Chair: Dr. Zheng Liu, University of British Columbia, Canada


Reinforcement Learning for Large-Scale Communications and Computer Infrastructures
Dr. Kin K. Leung, Imperial College London, UK


Kin K. Leung received his B.S. degree from the Chinese University of Hong Kong in 1980, and his M.S. and Ph.D. degrees from University of California, Los Angeles, in 1982 and 1985, respectively. He joined AT&T Bell Labs in New Jersey in 1986 and worked at its successor companies until 2004. Since then, he has been the Tanaka Chair Professor in the Electrical and Electronic Engineering (EEE), and Computing Departments at Imperial College in London. He serves as the Head of Communications and Signal Processing Group in the EEE Department at Imperial. His current research focuses on optimization and machine-learning techniques for system design and control of large-scale communication networks and computer infrastructures. He also works on multi-antenna and cross-layer designs for wireless networks.

He received the Distinguished Member of Technical Staff Award from AT&T Bell Labs in 1994, and was a co-recipient of the 1997 Lanchester Prize Honorable Mention Award. He was elected as an IEEE Fellow in 2001. He received the Royal Society Wolfson Research Merits Award from 2004 to 2009 and became a member of Academia Europaea in 2012. Along with his co-authors, he also received the IEEE ComSoc Leonard G. Abraham Prize (2021) and several best conference paper awards, including the IEEE PIMRC 2012, ICDCS 2013 and ICC 2019. He serves as a member (2009-11) and the chairman (2012-15) of the IEEE Fellow Evaluation Committee for Communications Society. He was a guest editor for the IEEE JSAC, IEEE Wireless Communications and the MONET journal, and as an editor for the JSAC: Wireless Series, IEEE Transactions on Wireless Communications and IEEE Transactions on Communications. Currently, he chairs the Steering Committee for the IEEE Transactions on Mobile Computing and is an editor for the ACM Computing Survey and International Journal on Sensor Networks.


View Abstract Return to Top ⇑

Session

July 30 | 02:15 PM - 03:30 PM | Session Chair: Dr. Zheng Liu, University of British Columbia, Canada


Artificial Intelligence


CIST 121
Time: 02:15 - 02:30
Presenter: Chin-Shiuh Shieh, National Kaohsiung University of Science and Technology, Taiwan
Authors: Chin-Shiuh Shieh, Wan-Wei Lin, Thanh-Tuan Nguyen, Yong-Lin Huang, Mong-Fong Horng, Chun-Chih Lo, and Kun-Mu Tu

CIST 108
Time: 02:30 - 02:45
Presenter: Neli Zlatareva, Central Connecticut State University, USA
Authors: Neli Zlatareva, Devansh Amin

MVML 102
Time: 02:45 - 3:00
Presenter: Iren Valova, University of Massachusetts Dartmouth, USA
Authors: Iren Valova, Natacha Gueorguieva, Sandeep Smudidonga

CIST 111
Time: 03:00 - 03:15
Presenter: Luigi Benedicenti, University of New Brunswick, Canada
Authors: Luigi Benedicenti, Tommi Mikkonen, Jurka Rahikkala

CIST 301
Time: 03:15- 03:30
Presenter: Luigi Benedicenti, University of New Brunswick, Canada
Authors: Rashmi Dhakad, Luigi Benedicenti1


Return to Top ⇑

Session

July 31 | 03:40 PM - 4:10 PM | Session Chair: Dr. Luigi Benedicenti, University of New Brunswick, Canada


Electrical Engineering and Electronics I


EEE 110
Time: 03:40 - 03:55
Presenter: Sumathi Lakshmiranganatha, University of Wyoming, USA
Authors: Sumathi Lakshmiranganatha, Suresh S. Muknahallipatna

EEE 105
Time: 03:55 - 04:10
Presenter: Nurul Chowdhury, University of Saskatchewan, Canada
Authors: Asim Chaulagain, Muhammad Ahsan Khalil, Raynier Leyeza, Ramakrishna Gokaraju, Nurul Chowdhury, Chris James


Return to Top ⇑

9:00 AM - 9:45 AM Keynote Lecture
Natural Language Processing for Biomedicine
Dr. Sophia Ananiadou, University of Manchester, UK
9:45 AM - 10:45 AM Plenary Lecture
Forward Engineering of Multi-cellular Engineered Living Systems
Dr. Rashid Bashir, University of Illinois, USA
10:45 AM - 11:45 AM Plenary Lecture
The Use of Gaze in Human and Machine Vision
Dr. Dana Ballard, University of Texas at Austin, USA
11:45 AM - 11:50 AM

Break

11:50 AM - 01:05 PM Session
Biomedical Science and Engineering II
01:05 PM - 1:25 PM

Lunch Break

01:25 PM - 02:25 PM Plenary Lecture
From Differentiable Reasoning to Self-supervised Embodied Active Learning
Dr. Ruslan Salakhutdinov, Carnegie Mellon University, USA
02:25 PM - 03:10 PM Keynote Lecture
A Novel Optical Coherence Tomography for Non-Destructive Characterisation of Electrical-Thermal-Mechanical Deformation of Bonding Wires
Dr. Yao-chun Shen, University of Liverpool, UK
3:10 PM - 3:15 PM

Break

03:15 PM - 04:00 PM Session
Electrical Engineering and Electronics II
04:00 PM - 04:05 PM

Break

04:05 PM - 05:05 PM Session
Machine Learning and Human Computer Interaction

CIST Keynote Lecture

July 31 | 9:00 AM - 9:45 AM | Session Chair: Dr. Luigi Benedicenti, University of New Brunswick, Canada


Natural Language Processing for Biomedicine
Dr. Sophia Ananiadou, University of Manchester, UK


Sophia Ananiadou is Professor of Computer Science at The University of Manchester. Her main research areas of research are Natural Language Processing and Text Mining applied in Biomedicine. She is the Director of the UK National Centre for Text Mining, a Turing Fellow, ELLIS member and Distinguished research fellow at the AI research centre (AIST Japan). Her research has covered: information extraction, scientific discourse analysis, emotion detection, automatic extraction of terminology for applications such as systematic reviews , semantic search, knowledge graph construction, pathway curation.


View Abstract Return to Top ⇑

ICBES Plenary Lecture

July 31 | 09:45 AM - 10:45 AM | Session Chair: Dr. Luigi Benedicenti, University of New Brunswick, Canada


Forward Engineering of Multi-cellular Engineered Living Systems
Dr. Rashid Bashir, University of Illinois, USA


Rashid Bashir is currently the Dean of Grainger College of Engineering, the Grainger Distinguished Chair in Engineering, and Professor of Bioengineering at the University of Illinois at Urbana-Champaign. He was member of the core founding team and co-chair of the inaugural curriculum committee for the Carle-Illinois College of Medicine, the world’s first engineering based College of Medicine at the University of Illinois at Urbana-Champaign. He has previously been at Purdue University and at National Semiconductor Corporation. He has held a visiting Scientist position at Massachusetts General Hospital and Shriner’s Hospital for Children, and was Visiting Professor of Surgery at Harvard Medical School, Cambridge, MA. He was the recipient of the Joel and Spira teaching Award, the NSF Faculty Early Career Award and the IEEE EMBS Technical Achievement award. In 2018, he received the Pritzker Distinguished Lectureship Award from BMES. His research group is interested in developing new diagnostic technologies for precision and personalized medicine, and in 3D bio-fabrication of cellular systems. Using bionanotechnology, BioMEMS, and lab on chip, he is working at the interface of biology and engineering from the molecular to the tissue scale, and aiming to make an impact on grand challenges in infectious disease, sepsis, cancer, and others. He has authored or co-authored over 250 journal papers and has been granted 50 patents. Technology from his group has been licensed to multiple startups and larger companies.


View Abstract Return to Top ⇑

MVML Plenary Lecture

July 31 | 10:45 AM - 11:45 AM | Session Chair: Dr. Luigi Benedicenti, University of New Brunswick, Canada


The Use of Gaze in Human and Machine Vision
Dr. Dana Ballard, University of Texas at Austin, USA


Dana Ballard received his PhD from the University of California, Irvine, in 1974. His main research interest is in computational theories of the brain with emphasis on human vision and motor control. Currently Ballard is interested in pursuing this research by using high DOF models of humans’ natural behavior in virtual reality environments.


View Abstract Return to Top ⇑

Session

July 31 | 11:50 AM -01:05 PM| Session Chair: Dr. Iren Valova, University of Massachusetts Dartmouth, USA


Biomedical Science and Engineering II


ICBES 118
Time: 11:50 - 12:05
Presenter: Kyrin Liong, Singapore Institute of Technology (University of Glasgow), Singapore
Authors: Amery Chow, Kyrin Liong, Shujin Lee

ICBES 113
Time: 12:05 - 12:20
Presenter: Abraham Otero, Universidad San Pablo-CEU, Spain
Authors: Amanda Pérez-Porro, María Palacios, Constantino Antonio García, Gabriel Caffarena, Abraham Otero

ICBES 114
Time: 12:20 - 12:35
Presenter: Iurii Venglovskyi, Brno University of Technology, Czech Republic
Authors: Iurii Venglovskyi

ICBES 120
Time: 12:35 - 12:50 PM
Presenter: Łukasz Pawłowski, Gdańsk University of Technology, Poland
Authors: Łukasz Pawłowski, Andrzej Zieliński

ICBES 117
Time: 12:50 - 01:05 PM
Presenter: Amira Abdelrasoul,University of Saskatchewan, Canada
Authors: Amira Abdelrasoul


Return to Top ⇑

MVML Plenary Lecture

July 31 | 01:25 PM - 02:25 PM | Session Chair: Dr. Luigi Benedicenti, University of New Brunswick, Canada


From Differentiable Reasoning to Self-supervised Embodied Active Learning
Dr. Ruslan Salakhutdinov, Carnegie Mellon University, USA


Russ Salakhutdinov is a UPMC Professor of Computer Science in the Department of Machine Learning at CMU. He received his PhD in computer science from the University of Toronto. After spending two post-doctoral years at MIT, he joined the University of Toronto and later moved to CMU. Russ’s primary interests lie in deep learning, machine learning, and large-scale optimization. He is an action editor of the Journal of Machine Learning Research, served as a program co-chair for ICML2019, served on the senior programme committee of several top-tier learning conferences including NeurIPS and ICML. He is an Alfred P. Sloan Research Fellow, Microsoft Research Faculty Fellow, Canada Research Chair in Statistical Machine Learning, a recipient of the Early Researcher Award, Google Faculty Award, and Nvidia’s Pioneers of AI award.


View Abstract Return to Top ⇑

EEE Keynote Lecture

July 31 | 02:25 PM - 03:10 PM | Session Chair: Dr. Luigi Benedicenti, University of New Brunswick, Canada


A Novel Optical Coherence Tomography for Non-Destructive Characterisation of Electrical-Thermal-Mechanical Deformation of Bonding Wires
Dr. Yao-chun Shen, University of Liverpool, UK


Prof Yaochun Shen received his PhD degree from Nanjing University in 1992. After that he held various positions at Southeast University (China), Heidelberg University (Germany), Heriot-Watt University (UK), Cambridge University (UK) and TeraView Ltd (UK). Currently he is a Chair Professor at the Department of Electrical Engineering and Electronics, the University of Liverpool, UK. Professor Shen has many year’s experiences in the development and application of novel cross-sectional imaging technologies based on terahertz imaging and optical coherence tomography. He has been awarded 7 patents and published 5 book chapters and over 200 conference & journal papers with over 6845 citations and an h-index of 45 (Google Scholar). His current research interests include the development of innovative THz and optical imaging technologies with a focus on the exploitation of their practical real-world applications in industry and healthcare.


View Abstract Return to Top ⇑

Session

July 31 | 3:15 PM- 4:00 PM | Session Chair: Dr. Nurul Chowdhury, University of Saskatchewan, Canada


Electrical Engineering and Electronics II


EEE 111
Time: 03:15 - 03:30
Presenter: Chun-Long Wang, National Taiwan University of Science and Technology, Taiwan
Authors: Yuan-Chun Lee , Chun-Long Wang

EEE 112
Time: 03:30 - 03:45
Presenter: Ali Eren KOK, Erciyes University, Turkey
Authors: Ali Eren KOK , Ibrahim DEVELI

EEE 117
Time: 03:45 - 04:00
Presenter: Mohamed OUAMEUR, Laboratoire national de métrologie et d'essais, France
Authors: Mohamed OUAMEUR, François ZIADÉ


Return to Top ⇑

Session

July 31 | 4:05 PM- 05:05 PM | Session Chair: Dr. Nurul Chowdhury, University of Saskatchewan, Canada


Machine Learning and Human Computer Interaction


CIST 109
Time: 04:05 - 04:20
Presenter: Chi-Yang Tsai, Yuan Ze University, Taiwan
Authors: Chi-Yang Tsai, Erickson Liang

MVML 101
Time: 04:20 - 04:35
Presenter: Dorothy Gors, Flanders Make, Belgium
Authors: Dorothy Gors, Robbert Hofman, Merwan Birem, Steven Kauffmann

MHCI 301
Time: 04:35 - 04:50
Presenter: Kazuhisa Yanaka, Kanagawa Institute of Technology , Japan
Authors: Kazuhisa Yanaka, Kouki Shibata, Toshiaki Yamanouchi

CIST 302
Time: 04:50 - 05:05
Presenter: Usama Zafar Ansari, University of British Columbia, Canada
Authors: Usama Zafar Ansari, Zheng Liu


Return to Top ⇑