Marin Litoiu: Professor and DITA Scientific Director; York University
Research Areas of Interest: Software engineering, IoT, adaptive systems and cloud computing.
Professor Litoiu is the Chair of the Steering Committee of ACM/IEEE International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) as well as the Vice Chair of IEEE TCSE. He has rich industrial experience and has led several large-scale research projects and programs. While at IBM, he led multiple research programs in autonomic computing and software engineering. At York, in addition to leading a very successful research program at his lab, CERAS, he directs York’s Information Technology Graduate Program.
Hausi Müller: Professor; University of Victoria
Research Areas of Interest: Software engineering, IoT, smart cyber physical systems, adaptive, cognitive computing and context-aware systems, and DevOps.
Professor Muller has been the Program Co-Chair for the World Forum of Internet of Things (WF-IoT 2015 & 2018) and the Chair of IEEE CS Technical Council on Software Engineering for several years. He has also served on the IEEE Computer Society (CS) Board of Governors and the Vice President of IEEE CS Technical and Conferences Activities Board. He is as well the Founding Director of University of Victoria's Software Engineering Program.
Eleni Stroulia: Professor, University of Alberta
Research Areas of Interest: Smart Homes and Assisted Living, wearables and mobile applications, computer-aided teaching and learning, collaborative platforms and service-oriented systems.
Dr. Eleni Stroulia is a Professor in the Department of Computing Science, at the University of Alberta. From 2011-2016, she held the NSERC/AITF Industrial Research Chair on Service Systems Management, with IBM. Her research focuses on collaborative solution development for the software industry, adoption of AI and machine learning methods to automate tasks of software developers, and evaluating computational methods. Her flagship project is the Smart Condo in which she investigates the use of IoT technologies to support people with chronic conditions live independently longer and to educate health-science students to provide better care. In 2011, the Smart-Condo team received the UofA Teaching Unit Award, and in 2018 she received a McCalla professorship around this activity. She has played leadership roles in the GRAND and AGE-WELL NCEs.
Alberto Leon-Garcia: Professor, University of Toronto
Research Areas of Interest: Smart Cities and smart transportations, wireless sensor networks, edge and fog computing.
An NSERC Canada Research Chair, Professor Leon-Garcia has been the Scientific Research Director of SAVI (Smart Applications on Virtual Infrastructure), an NSERC Strategic Network, and the Principal Investigator of the Connected Vehicles and Smart Transportation, an Ontario RE-ORF sponsored project. He is also the Principal Investigator for the NSERC CREATE NetSoft Program.
Lauren Sergio: Professor, York University
Research Areas of Interests: Effects of age, sex, neurological disease, head injury, and experience (elite versus non-elite athletes) on the brain’s control of complex movement.
A professor in the School of Kinesiology & Health Science, Professor Sergio's neuroscience research examines the effects of age, sex, experience, disease, and injury on the brain’s control of visually-guided movement using behavioural and brain imaging techniques. She is a research scientist at Southlake Regional Health Centre, part of the York University Sport Medicine team, and directs York’s Neuroscience Graduate program. Dr. Sergio works with a wide range of adult populations, including NHL draft prospects and Alzheimer’s disease patients, using behavioural and brain imaging techniques. She is also a member of the Centre for Vision Research and on the leadership team for the VISTA program.
Natalija Vlajic: Associate Professor, York University
Research Areas of Interest: Network Security and Network and Application analysis.
Professor Vlajic's research focuses on (1) the analysis of network and application-layer characteristics as well as security vulnerabilities of a wide range of Internet bots and IoT devices and (2) the development of intelligent (machine-learning) techniques for the detection and protection against Internet bots and IoT devices that exhibit malicious/problematic behaviour. She currently serves as an Associate Editor of IEEE Communication Magazine.
Jenn McArthur: Assistant Professor, Ryerson University
Research Areas of Interests: Building Information Management, Smart Buildings and the application of Data Analytics and machine learning to energy management and facility management.
Prior to beginning her academic career in 2014, Professor McArthur worked in the consulting sector for over a decade, leading the mechanical design for over $750M worth of new building projects and established an existing building comfort and energy management practice. In 2016, she spearheaded the establishment of the Resilient Facility Analytics Network, a Canada/US partnership of 25 academic and 25 industry partners, and continues to lead research projects focused on Smart Buildings and Campuses.
Manos Papagelis: Assistant Professor, York University
Research Areas of Interests: Data mining, graph mining, large-scale network analysis, information networks, big data systems, big data analytics, knowledge discovery, and city science.
Professor Papagelis' research program at York focuses on the design and development of fast and principled algorithms and tools for solving computational problems and enabling data-driven decision making.
Marios Fokaefs: Assistant Professor, Polytechnique Montréal
Research Areas of Interest: DevOps, software evolution and continuous integration with respect to value, performance and cost in service-oriented, cloud and IoT systems.
Professor Fokaefs' research program focuses on software maintenance and evolution, and change management, funded by NSERC, IBM, and NBC. His teaching excellence has been recognized by the University of Alberta.
Sotirios Liaskos: Associate Professor, York University
Research Areas of Interest: Information Systems Engineering, Requirements Engineering, Information Technologies, Requirements Engineering, Conceptual Modelling.
Professor Liaskos' research focuses on how human and business needs, preferences and priorities can be captured, modelled, analyzed and interpreted into software system functions. He is particularly interested in the elicitation and visualization of problem-level conceptual models and the use of classical Artificial Intelligence techniques for reasoning about human goals and preferences vis-a-vis system functions. He has served as a Technology Internship Program Coordinator for several years at the School of Information Technology, York University.
Norha Milena Villegas Machado: Associate Professor, Universidad Icesi
Research Areas of Interest: engineering education, context-management, cyber physical systems, context-aware analytics, self-adaptive and self-managing systems, and runtime software evolution.
Dr. Villegas Machado is an associate professor at the Department of Information and Communication Technologies, Director of the Software Systems Engineering Bachelor Program at Universidad Icesi, Cali, Colombia, an Adjunct Assistant Professor of the Department of Computer Science, University of Victoria, in Canada, and an IEEE Senior Member. She is the recipient of the IBM Canada CAS Research Project of the Year (November 2011) for application of context-awareness and self-adaptation to the improvement of on-line shopping systems. Over the last nine years, she has co-authored a significant number of scientific papers on software engineering, co-chaired several international workshops and conferences, and served in notable program committees for international conferences such as International Conference on Software Engineering (ICSE) and International Conference on Software Maintenance and Evolution (ICSME).
Sergiu Dascalu: Professor, University of Nevada, Reno
Research Areas of Interest: Software Engineering, Human Computer Interaction, Brain Computer Interaction, Data Visualization