Prof. Monica Lam
Monica S. Lam(Ph.D. Computer Science, Carnegie Mellon University, 1987) is the Faculty Director of the Stanford MobiSocial Laboratory, whose goal is to create disruptive mobile and social computing technology that serves consumers’ interests and benefits the economy in the long term. Lam joined the faculty of Computer Science at Stanford University in 1988. She has contributed to the research of a wide range of computer systems topics including compilers, program analysis, operating systems, security, computer architecture, and high-performance computing. She currently directs the MobiSocial laboratory at Stanford. Lam is the cofounder and CEO of Omlet.Lam chaired the ACM SIGPLAN Programming Languages Design and Implementation Conference in 2000, served on the Editorial Board of ACM Transactions on Computer Systems and numerous program committees for conferences on languages and compilers (PLDI, POPL), operating systems (SOSP), and computer architecture (ASPLOS, ISCA).
Title of the Talk:Keeping the Internet Open with an Open-Source Virtual Assistant
Abstract: Virtual assistants, such as Alexa, Siri, and Google Home, are emerging as the super app that intermediates between users and their IOT devices and online services. As an intermediary, the virtual assistant sees all our personal data and has control over the services and vendors we use. A monopolistic virtual assistant would pose a great threat to personal privacy as well as open competition and innovation. This talk describes why the world needs an open-source virtual assistant to keep the internet open and how we’re building it.
Prof. Robert Raussendorf
Robert Raussendorf obtained his PhD from the Ludwig Maximilians University in Munich, Germany in 2003. His PhD thesis [Int. J. of Quantum Information 7, 1053 – 1203 (2009).] is on measurement-based quantum computation. He was a postdoc at Caltech (2003-06) and at the Perimeter Institute for Theoretical Physics (2006-07), and Sloan Research Fellow 2009 – 2011. Currently, he is an Associate Professor at the Department of Physics and Astronomy of the University of British Columbia, and scholar of the Cifar Quantum Information program.
Dr Raußendorf’s research interest is in quantum computation, in particular computational models, quantum fault-tolerance and foundational aspects. More specifically, he is interested in measurement-based models for quantum computation, fault-tolerant quantum computation under geometric constraints and quantum cellular automata. He is the co-inventor of the one-way quantum computer.
Title of the Talk:Computational phases of quantum matter
Abstract:We investigate the usefulness of ground states of quantum spin chains with symmetry-protected topological order (SPTO) for measurement-based quantum computation. We find that in spatial dimension one, the computational power is uniform across physical phases. Furthermore, if an SPTO phase supports quantum wire, i.e., quantum information can be teleported from one end of the spin chain to the other end by performing local measurements, then it can also be used for quantum computation.
Prof. Pierre Larochelle
Pierre Larochelle (Ph.D., Mechanical Engineering, University of California at Irvine) is the Department Head and a Professor of Mechanical Engineering at the South Dakota School of Mines & Technology. Previously he served as an Associate Dean and Professor of Mechanical Engineering at the Florida Institute of Technology. His research focuses on the design of complex robotic mechanical systems and enabling creativity and innovation in design. He is the founding director of the Robotics and Spatial Systems Laboratory (RASSL), has over 100 publications, holds two US patents, and serves as a consultant on robotics, automation, machine design, creativity & innovation, and computer-aided design. He serves on the Executive Committee of ASME’s Design Engineering Division and will serve as Chair of the Division in 2018-2019. He serves on ABET’s Engineering Accreditation Commission (EAC) and as an ABET Accreditation Visit Team Chair. Moreover, he currently serves as the Chair of the U.S. Committee on the Theory of Mechanisms & Machine Science and represents the U.S. in the International Federation for the Promotion of Mechanism & Machine Science (IFToMM) (2016 – 2020). He has served as Chair of the ASME Mechanisms & Robotics Committee (2010-2014) and as an Associate Editor for the ASME Journal of Mechanisms & Robotics (2013 – 2016, 2017 – present), the ASME Journal of Mechanical Design (2005 – 2011), and for Mechanics Based Design of Structures & Machines (2006 – 2013). He is a Fellow of the American Society of Mechanical Engineers (ASME), a Senior Member of IEEE, and a member of Tau Beta Pi, Pi Tau Sigma, ASEE, and the Order of the Engineer.
Title Of The Talk:The Role of Human Robot Interactions in Manufacturing Industry 4.0
Abstract:The industrial revolution of the 19th century brought forth a step change in manufacturing processes from manual human labor to hands-off dedicated production equipment. This paradigm remained intact until the 1970’s during which robotics, i.e. flexible automation was introduced. From the 1970’s until now we have seen a harmonious balance between the flexible automation provided by robots and the rigid automation provided by dedicated production machines. Today, a new paradigm is emerging; a triad of robots, machines, and humans working together to produce high quality products that are customized to satiate the consumer’s demands. This talk will explore this new paradigm and the opportunities it presents for the information technology, electronics, and mobile communication communities.
Prof. Lutz Sparowitz
Dr. Sparowitz(born in 1940 in Graz, Austria) received his Ph.D. degree in
Engineering Sciences from the Technical University of Graz in 1974. Thereafter, he worked
as an engineering consultant at a local firm until 1988, when he joined the University of Life
Sciences in Vienna, Austria, and became a full professor and director of the Institute for
Structural Engineering. Since 1993 he moved to the Technical University of Graz as a full
professor and director of the Institute for Concrete Construction until the end of 2009 when he became an emeritus professor. In 2003 he co-founded the S&W (Sparowitz & Wörle) Engineering Consulting Ltd in Graz with his partner, Dr. Pius Wörle, and remains managing the company until now.
Since 1998, Prof. Sparowitz’ research has focussed on UHPC (Ultra High Performance Concrete) and worked not only on the development of the material-technology, but also on the design of different structures made of UHPC in several practical projects culminating in numerous significant Austrian Awards: the 2007 Consulting Engineers Award for an UHPC-bridge built in Austria, the 2008 Austrian State Award for the best innovative project of the
year, and the 2009 Dr. Wolfgang Houska Award (with a prize of € 100.000) for the best research activity of the year. Since 2010, he has conducted his research in cooperation with the university to develop an advanced mobility system, called QUICKWAY, which offers a viable solution to the critical traffic problem of large smart and green cities. In recent years, his research was conducted to investigate the applicability of UHPC for Hyperloop tubes.
Title Of The Talk:QUICKWAY – An Intelligent City-Highway Network
Abstract: In the smart and green city of the future special importance has to be given to an unlimited mobility of the citizens, including elderly and disabled persons. Because of this, first and foremost the urban planners have to face the traffic problem.
The QUICKWAY-System is the definite solution for that: The major traffic runs canalized and concen-trated over a city-highway network – called QUICKNET. That motorway-net consists of safe elevated carriageways, which are always crossing each other on different levels (grade-separated crossings).
The size of the highway-mesh is preferably 640 x 800 meters. The mesh areas surrounded by the highways are traffic calmed zones. There live and work the people and exclusively originating and terminating traffic is permitted, in order to enable the desired comfortable “door-to-door service”.
The QUICKWAY Navigation System (QNS) is the heart of the QUICKWAY System. The QNS-software processes in real time the current positions and destinations of all vehicles in operation, to optimize the traffic flow and it guides each vehicle along its ideal route. Driverless vehicles are directly steered by QNS along their routes, driver-controlled vehicles are directed by voice navigation – as usual today.
Solely autonomous (driverless) electric powered vehicles (buses, light trucks, vans, taxis, cars etc.) are led by QNS to the faster QUICKNET. During the heavy traffic in rush hours, vehicles move there in a line of traffic with very short headway distances (~1.0 meter).
Driver-controlled vehicles and heavy goods trucks (total weight > 5 tons) have to operate on level 0 below the elevated QUICKNET- navigated by QNS as well.
The public traffic is covered by rather small agile driverless buses, running exclusively in the QUICKNET. They have 16 folding chairs, respectively up to 40 standings during rush hours. Each mesh contains up to four bus-stops at level 0 on half way between two nodes of the mesh. QNS manages the bus-traffic too. Passengers order a bus by smartphone. Buses do not drive along fixed routes (as it is usual today) and they do not stop at each station. They more or less work like large hailed shared taxis.
Surely the driverless QUICKTAXI is the most important means of transport in the QUICKWAY System, because taxis, company-owned cars and privately owned cars – all ordered by smartphone – offer the above mentioned “door to door service”. After alighting on particular stopping lanes, the vehicles move on. Parking places along the streets are substituted by underground carparks.
As a combination of the features mentioned above (and others), the QUICKWAY System increases the traffic performance many times over.
This key note explains, how the QUICKWAY traffic system works in principle. The presentation gives also an introduction, how a smart and green lifestyle city with embedded QUICKWAY traffic system should be designed. And finally the main requirements on the QUICKWAY navigation software are discussed.
Dr. Goutam Chattopadhyay
Goutam Chattopadhyayis currently a Senior Research Scientist (SRS) at the NASA-Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA, and a Visiting Associate at the Division of Physics, Mathematics, and Astronomy, California Institue of Technology. He received his Ph.D. in Electrical Engineering from Caltech in 1999. Dr. Chattopadhyay has several publications in noted journals. His research interests include microwave, millimeter-wave, high frequency radars, terahertz sources, application of nanotechnology at terahertz frequencies and terahertz heterodyne and direct detector receivers and instruments.
Title Of The Talk: CubeSats for Communication and Spaceborne Instruments
Abstract:Increasingly NASA, ESA, JAXA, ISRO, and other space agencies looking into CubeSat platforms for communication as well as scientific missions. Challenges to deploy a scientific or a communication payload on a compact CubeSat payload is extraordinary. These are shoe-box size satellites expected to perform similar functions as a normal large satellite but with fraction of DC power available on board.
In this lecture, the challenges and possible solutions of CubeSat based communication and
scientific instruments will be presented. It will be shown how ‘out of the box’ thinking and
innovative ideas are paving the way for the next generation of instruments which are compact,
low-power, and yet highly capable.
This work was carried out at the Jet Propulsion Laboratory, California Institute of Technology
under a contract with National Aeronautics and Space Administration.
Prof. Uwe Glässe
Dr. Uwe Glässe is a professor of Computing Science at Simon Fraser University, British Columbia. His research interests range from formal engineering methods to interdisciplinary applications of computer science in big data intelligence, criminal network analysis, situation analysis and decision support, and cybersecurity. He also held various senior administrative positions, including dean pro tem and assoc. dean of the Faculty of Applied Sciences; director of Computing Science; and co-director of the Interdisciplinary Research in the Mathematical & Computational Sciences Centre. Currently, he is the director of SFU’s Public Safety and Security HPC Laboratory.He received his degrees in computer science from Paderborn University, Germany. Prior to his current appointment, he held academic positions at Paderborn University, worked in telecommunications standardization on behalf of ITU-T, Geneva, and on foundations of software engineering for Microsoft Research, Redmond, WA.
Title Of The Talk:Engineering Maritime Security
Abstract:Maritime domain awareness is critical for protecting sea lanes, ports, harbors and other types of critical infrastructure against common threats and illegal activities. Typical examples range from smuggling of illegal goods, human trafficking and piracy all the way to terror attacks. Limited surveillance resources constrain maritime domain awareness and compromise full security coverage at all times. This situation calls for innovative intelligent systems for interactive situation analysis to assist marine authorities and security personal in their routine surveillance operations. The talk presents a novel situation analysis approach to analyze abundant marine traffic data and differentiate scenarios of interest for the purpose of detecting anomalies. Scenarios are viewed as probabilistic processes to analyze complex vessel trajectories using machine learning for the classification of common patterns. Experimental evaluation shows the effectiveness of the proposed approach based on vessel monitoring and tracking data from coastal waters of North America.
Prof. Detlef Streitferdt
Detlef Streitferdt is Senior Scientist at the Technische Universität Ilmenau in Germany. He is working in the field of software architecture and product lines, model-driven development for embedded systems, model-based testing and software development processes. Detlef studied Computer Science at the University of Stuttgart, got his Dr.-Ing. from the Technische Universität Ilmenau and was working as Principal Scientist at the ABB AG Corporate Research Center in Ladenburg, Germany before he returned back to the University.
Title Of The Talk: Autonomous Systems
Abstract:The automation of tedious tasks has been targeted by the industry for a long time. Along with the automation efforts more and more systems in the industrial, the home automation, the medical and many other domains have been further automated, they even turned into “smart” systems. Thus, the initial automation of simple tasks has been further developed towards handling more complex tasks with autonomous systems. The variety of such autonomous systems, their capabilities and the obvious as well as hidden relations between such systems is rather dramatic. This talk discusses such systems and their implications to our life.
Prof. Nan Wang
Nan Wang is currently a Professor in the California State University at Fresno, USA.Dr. Wang received his PhD in Computer Engineering in 2007 and Master of Science in Computer Engineering in 2000 from University of Louisiana at Lafayette.Dr. Wang has several publications in noted journals and in many conferences also.He is also associated with IEEE and ASEE and faculty advisor for Asian Christian Student Organization.He has more than 20 years of industry experience.His research interests include System-on-chip/network-on-chip communication architecture,Embedded system,FPGA/ASIC design and implementation,Real-time computing and VLSI design,Mobile Ad Hoc Network (MANET),Wireless Network-on-chip Communication.
Title Of The Talk: From Network-on- chip to Wireless Communication Technology
Abstract:In the last decade, computer systems have been advanced from relatively simple single-core CISC and RISC architectures to complex multi-core system-on- chip designs with higher communication requirements. Network-on- chip architectures emerged as promising solutions for future system-on- chip communication architecture designs. In recent days, wireless communication technology has become more and more essential in everybody’s life. Mobile ad hoc networks (MANET) contain wireless mobile nodes to construct dynamic networks without the support of fixed infrastructure. Its nodes and hosts are all movable and self-configurable while simultaneously serving as routers to deliver data from sources to their respective destinations. A MANET is generally used in places where a fixed infrastructure can’t be formed due to certain reasons, such as disaster areas, war zones, and emergency sites. This talk will introduce the key issues and possible solutions for the technologies listed above.
Prof. Babak Esfandiari
Babak Esfandiari is a Professor at the Department of Systems and Computer Engineering at Carleton University in Ottawa, Canada. He obtained his Ph.D. in Computer Science in 1997 (University of Montpellier II, France) then worked for two years at Mitel Corporation as a software engineer before joining Carleton in 1999. He has over 90 peer-reviewed publications and 3 patents in the areas of agent technology and network computing, and has served on the Editorial Boards of Computational Intelligence, the Journal of Trust Management and numerous Technical Program Committees for conferences on computational trust (IFIPTM, PST), and ubiquitous intelligence (UIC, IoT).
Title Of The Talk: Toward Secure and Efficient Peer-to-Peer Voice over IP Communication in Large-scale Hierarchical Mobile Ad Hoc Networks
Abstract: This talk presents work accomplished to date on a secure and efficient decentralized SIP-based communication protocol for a large user population, forming a clustered mobile network. We use a Distributed Hash-table (DHT) for SIP ID storage and resolution, as per the P2P-SIP protocol (RFC 6940). For scalability purposes, the DHT is deployed over a hierarchical MANET, with each cluster connected to others through a MANET backbone. Nodes within a cluster route messages at the network layer through a standard MANET routing protocol (here OLSR), nodes in different clusters will communicate through the MANET backbone. For efficiency purposes, we used a crosslayer DHT called OneHopOverlay4MANET which makes use of the underlying OLSR protocol to locate the DHT nodes. To protect the DHT against sybil and storage-and-retrieval attacks, we rely on certification, a PKI-based challenge system, and redundant storage. We show results obtained so far from running simulations in OMNeT++.
Dr. Andrew Park
Andrew Park is Associate Professor in Thompson Rivers University, Canada.He has done his Ph.D. (Interactive Arts and Technology) at Simon Fraser University conferred in October of 2008.He has done his M.Sc. (Computer Science) at Loyola University Chicago, conferred in June of 1998 and B.Sc. (Mathematics) at Sogang University Seoul, conferred in February of 1993.He is the Senior Research Fellow at Institute for Canadian Urban Research Studies(ICURS).He has also vast experience in teaching.
The courses taught by him are Human-Computer Interaction Design (COMP 3450), Computer Graphics and Visualization(COMP 3820), Computer Animation (COMP 4980), Multimedia (COMP 4830), Virtual Reality (COMP 4980), Information Visualization (COMP 4480)etc.His Research Interests include Information Visualization and Visual Analytics on Big Data (Crime and Court Data),Virtual Environments for Social Science Research (Criminology and Gerontology),Human-Computer Interaction for Virtual Environments,Agent-Based Modeling and Simulation (Crowd Simulation) for Counter-Terrorism,Social Network Analysis and Visualization,Computational Criminology (Fear of Crime and CPTED)Dr. Park has several publications in noted journals and in many conferences also.
Title Of The Talk: Fighting Crime Using Simulations and Visual Analytics
Abstract:In the 21st century, crime is still prevalent everywhere and detrimental to individuals, a community and society. The number of terrorist incidents has also increased sharply for the last 16 and 17 years. These crimes and terrorism degrade the quality of life and generate fear in people. They seem happening at random. But research study shows that they happen at particular places and at particular times. My research has been analyzing, simulating, and visualizing crimes and terrorist incidents using simulations and visual analytics based on theories and methods of environmental criminology and computational criminology. This research helps us discover patterns and trends of particular crimes and terrorism and possibly predict them and prevent them from occurring. In my presentation, I would showcase some of my research study outcomes with realistic and interesting visualizations and simulations.
Dr. Yasser Morgan
Yasser Morgan is Associate Professor, Software Systems Engineering in University of Regina, Canada.He has done his Ph.D. at Simon Fraser University.He has done his M.Sc. and B.Sc. at Cario University.His Research Interests include Wireless MESH Networks, Mobile Ad-hoc Networks, MAC layer and Service Discovery algorithms, Mobile Applications and Middleware, Location-Aware Applications and Mobile Agent, Vehicular Communications specially DSRC and VII, Distributed and Pervasive Computing, Software Engineering Models.
Title Of The Talk: The use of deep learning in digital security
Abstract: LeCun, Bengio, and Hinton have shown that “new paradigms are needed to replace rule-based manipulation of symbolic expressions by operations on large vectors”. The importance of LeCun conclusion is magnified by the fact that it stands at the intersection of the ever growing availability of data, storage, and compute power. Consequently, there is a new window of opportunity to utilize and improve deep learning methodologies to mobilise novel paradigms never thought possible before.
In the late 1990s, the promises of Convoluted Neural Networks (CNN) were illustrated by ConvNet. The ConvNet project presented powerful feed-forward net that can be trained and efficiently generalize without the need for full interlayer connectivity. In 2015, residual nets presented effective strategies to train complex, deep CNN, an effort that brought improved researchers ability to utilize CNN in unfamiliar territories. Henceforth, utilization of a combination of CNN with residual nets is known to improve learning mechanism and presents, for the first time, an attractive way to resolve security problems such as Host Tamper Detection systems.
Security threats and attacks can be and have been analyzed for decades. A basic approach stands on our response once a new attack had been identified. Following, the signature of the new attack is propagated to already existing host guarding systems. Consequently, the newly identified attack becomes known and presents no threat any more. This kind of reactive approach cannot stop the damage to business and infrastructure. Evidently, the annual number of security breaches and the size of compromised data keep growing. CNN and residual nets can be applied to novel learning paradigms.