Research Talk


Son Vuong 

University of British Columbia Vancouver, Canada

Bio: Prof. Dr. Son T. Vuong Received Received his B.S. in Electrical Engineering from California State University, Sacramento, USA in 1972; M.Eng. in Systems and Computer Engineering at Carleton University in Ottawa, Canada in 1977; and Ph.D. in Computer Science from the University of Waterloo, Canada in 1982 where he was a lecturer and assistant professor in 1981-1982.  Since 1983, he has been a professor of Computer Science at the University of British Columbia (UBC) in Vancouver, Canada, where  he was a founder of the Distributed System Research Group and has been the Director of the Laboratory for Networks and Internet Computing (NICLab).  He is an international renowned researcher on protocol engineering, distributed multimedia systems, social networks and collaborative computing.  His areas of research interest in recent years  include the Internet of Things(IOT), ambient networks, grid and  p2p computing, P2P video streaming,network security, mobile computing and mobile learning.

Dr. Vuong has (co)authored over 250 papers and a US patent,  and co-edited three books, including the book on “Recent Advances in Distributed Multimedia Systems” published in 1999. He has supervised thesis research of 80 graduate (PhD and MSc) students. He was a co-leader of the major $30M grant proposal to establish a new Network of Centres of Excellence in 1999, called Global Information Systems and Software Technology – GISST that made to the final short list.  Dr. Vuong served on many conference program committees and has been general or technical (co)chair and (co)organizer of 25 international conferences (IEEE IEMCON'15-19, UEMCON'16-19, CCWC'17-20, Springer and IEEE AMT’14, IEEE iThings’13, IEEE NCAS’11/IWCMC’11, ACM Multimedia’08, KSI DMS’08, IEEE NOMS’06, KSI DMS'39;97, IEEE ICDCS'39;95, IFIP PSTV'39;94, IFIP FORTE'39;89, 12 IFIP IWPTS';88). He served on the Canadian National Science and Engineering Research Council (NSERC) Grant Selection Committee in 1999-2003, and  also serves on the Board of Directors of two high-tech companies.

Since January 2013, Dr Vuong has served as Honorary Chairman of the Green World Systems as well as an Honorary Vice-President of the University of Nguyen Tat Thanh, in HCMC, Vietnam. Most recently, since April 2014, Dr. Vuong became an emeritus professor at UBC after his 32+ years of fulltime teaching and research services in computer science at UBC. He continues to engage actively in international conference organization and in computer and innovative science research and collaborations with esoteric science researchers worldwide.

Title of the talk: Toward the G System:  The Internet of Minds and Industry Revolution 5.0 for Advanced Society

Abstract The Internet of Things, the key driver of the Industry Revolution 4.0, will greatly impact everyone’s life in every facet, including entertainment, socialization, business, healthcare and education.  While research and development of IOT are still under way, the fundamental question remains whether the IOT technology would ensure enhanced quality of life. To address this question, we undertake to develop the concept of our so-called G System, based on our so- called the Internet of Minds (IOM) that is expected to drive the next Industry Revolution 5.0.
To alleviate the problem of big data in the modern IOT interactions among humans, mobile devices, sensors and things, we must take into consideration the underlying dynamic context information and the small world model.

After an overview of IOT and Industry Revolution 4.0, we shall discuss the conceptual architecture of the G System as well as the underlying basic principle of harmonization for the Internet of Minds.  The research on the G System is still at an infancy stage, further work and collaborative efforts will be needed to realize the true potential of its application to improve the society and to enhance the wellbeing of mankind.

Lanier Watkins

Johns Hopkins University, USA

Bio: Prof. Dr. Lanier Watkins holds a Ph.D. in Computer Science (May 2010) from Georgia State University where he was advised by Dr. Raheem Beyah, three M.S. degrees in the areas of Biotechnology (Johns Hopkins University-2017), Computer Science and Physics (Both from Clark Atlanta University-1999 & 1997), and a B.S. degree in Physics (Clark Atlanta University-1997). In May 2011, he joined the Asymmetric Operations Sector of the Johns Hopkins University Applied Physics Laboratory (JHU/APL) as a Senior Professional Staff II, in October of 2013 he was extended a dual appointment as a Lawrence R. Hafstad Fellow and an Associate Research Scientist with the JHU Information Security Institute, in October of 2015 he became a Lecturer for the JHU Engineering for Professional (EP) Master’s Program, and in February of 2019 he was appointed Chairman of the EP Computer Science and Cyber Security Master’s Program. He teaches 4 courses and has published more than 30 conference papers, journals, and book chapters. He also hold several patents and provisional patents. Further, he has mentored nearly 50 cyber security Master’s research students, and currently advises 3 doctoral students.   Prior to joining APL, Lanier worked for over 10 years in industry. He first worked at the Ford Motor Company and then later at AT&T where he held roles such as systems engineer, network engineer, product development manager, and product manager. He is also a member of the IEEE and ACM.

The goal of his research is to develop innovative algorithms and frameworks to address the continuously changing needs of defending Critical Infrastructure (CI) networks and systems. His research efforts are concentrated in five areas: (1) network security – introduction of new covert channels, cloud paradigms, and network-based detectors to produce both offensive and defensive capabilities, (2) IoT security – focus on mobile, cyber physical, and wireless sensor/medical device security, (3) vulnerability monitoring & analysis – introduction of new risk management and security assessment frameworks for IoT devices, (4) malware monitoring & analysis – exploration of active malware defenses to contribute to the increasingly popular Hacking Back paradigm, and (5) data analytics & assured AI – investigating the use of autonomous decision making and methods of AI assurance and security to help data scientist and engineers defend  CI against traditional threats and the inevitable threat of adversarial AI.

Title of the talk: A Red Team Evaluation of Commercial Off-The-Shelf Autonomous Drones

Abstract: The drone industry is projected to reach $84 billion by 2025, which indicates the prevalence of this technology in our society. Many  of the advanced drone applications can only be realized via autonomous drones. One major issue regarding drones is security. Researchers have demonstrated and documented examples of the security issues with user-controlled drones;however, there are few security assessments or evaluation approaches put forth by the security community for autonomous drones. To address this gap, we: (1) offer a Red Team (external security assessment) evaluation for autonomous drones and (2) demonstrate how the use of this approach can lead to an external security assessment of the core aspects of autonomous drones (e.g., its sensors, autonomous code, and inherent embedded system interrupts that subvert autonomy). We experimentally apply our Red Team security assessment to the DJI Spark and Phantom 4 while in autonomous mode (i.e., Active Track) to demonstrate its practicality and usefulness. Finally, we discuss the initial vulnerabilities that were found and the methods for mitigation.


Shahram Latifi

University of Nevada, Las Vegas, USA

Bio: Prof. Dr. Shahram Latifi,an IEEE Fellow, received the Master of Science and the PhD degrees both in Electrical and Computer Engineering from Louisiana State University, Baton Rouge, in 1986 and 1989, respectively. He is currently a Professor of Electrical Engineering at the University of Nevada, Las Vegas. He has authored over 250 technical articles in the areas of networking, cybersecurity, image processing, biosurveillance, and biometrics. His research has been funded by NSF, NASA, DOE, DoD, Boeing, Lockheed and Cray Inc. He has served as the editor of IEEE Transactions on Computers and as a distinguished speaker of IEEE Computer Society . He is the founder of two major international conferences (IEEE-ITCC and ITNG) and has chaired several other conferences. Dr. Latifi has given keynotes in areas of imaging, security and machine learning in several international forums.

Title of the talk: Advanced Biometrics

Abstract: Biometrics have long been used to secure lives and investments. Most of the biometrics techniques are image-based and have their own merits and demerits offering a tradeoff among various factors such as ase of use, resilience, reliability and cost-effectiveness. Inspired by recent advances in technology such as high processing power and high resolution cameras, current research focuses on moving biometrics techniques from an overt mode to covert, touch-based to stand-off capture-based, and
single-mode to multibiometrics. In this talk, an overview of advanced biometrics techniques is presented. We also present our research results on partial iris recognition to be employed in a covert or stand-off mode. We also address a multimodal biometrics technique obtained by fusing iris and retina images which gives a more reliable and accurate result than each of the unimodals
mentioned above.

Renee Bryce

University of North Texas, USA

Bio: Prof. Dr. Renee Bryce,is a Professor of Computer Science & Engineering at University of North Texas. She earned her Ph.D. in Computer Science from Arizona State University in May 2006. She earned her B.S. (1999) and M.S. (2000) degrees from Rensselaer Polytechnic Institute. Her research areas interests include Software Engineering, with emphasis on combinatorial testing and test suite prioritization for emerging technologies.  She has served as Primary Investigator on funding from the National Science Foundation, National Institute of Standards and Technology, U.S. Forest Service, Lawrence Livermore National Lab, and more. Professor Bryce is the recipient of the 2018 Dallas/Fort Worth Tech Titans Award Recipient for the University Level, 2015 NCWIT Undergraduate Research Mentor Award for the category of Junior Faculty (Assistant/Associate Professor) at a Research University, and 2006 Arizona State Commission on the Status of Women award for her "achievements and contributions towards advancing the status of women".


Daniel Bryce

Smart Information Flow Technologies (SIFT), LLC, USA

Bio: Prof. Dr. Renee Bryce, is a Principal Research Scientist at Smart Information Flow Technologies (SIFT), LLC.  Dr. Bryce conducts research on Human-Aware AI systems that specifically account for the human in-the-loop.  Human-aware AI address the uncertainty and imprecision inherent to man-machine communication. Within this area, he has conducted research upon knowledge representation,  automated planning, verification, and machine learning.  His primary contributions relate to synthesizing plans when humans provide incomplete, incorrect, and changing constraints.Dr. Bryce received his Ph.D. in Computer Science from Arizona State University, and his dissertation, entitled “Scalable Planning Under Uncertainty”, was awarded the ICAPS Distinguished Dissertation award. Dr. Bryce held positions at NASA, Honeywell Laboratories, SRI International, and Utah State University, prior to joining SIFT.  His work has been applied to unmanned vehicles, manufacturing, healthcare, systems biology, and synthetic biology.  He work has been funded by NASA, NSF, AFRL, OSD, ONR, and DARPA.

Important Deadlines

Full Paper Submission:31st October 2019
Acceptance Notification: 30th November 2019
Final Paper Submission:15th December 2019
Early Bird Registration: 15th December 2019
Presentation Submission: 31st December 2019
Conference: 6 - 8 January 2020

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•   Conference Proceedings will be submitted for publication at IEEE Xplore Digital Library.
•    Best Paper Award will be given for each track
•    There will be two workshops on- i. Data Analysis and ii. IoT on Jan 8, 2020
•    There will be Corporate Exhibitions and Product Display for the last two days of the conference.
•    Conference Record No- 47524