Systems and Computer Engineering Carleton University
Workshop Chair: Dr. Halim Yanikomeroglu, Professor, Carleton
Co-Organized and Sponsored by IEEE Ottawa Young Professionals Affinity Group.
Arrival: 9:30 – 10:00 am
Morning Session: 10:00 am – 12:00 noon
Keynote Speech (abstract and bio at the end)
Exploration Strategy in Wireless Systems with Reinforcement Learning
Dr. Haris Gacanin, Department Head, Nokia Bell Labs, Belgium
AI/ML-based Security and Trust in Mobile Services
Dr. Burak Kantarci, Professor, uOttawa
Lunch: 12:15 – 1:45 pm
The Caf – Carleton University, Residence Commons, 3rd floor
Afternoon Session I: 2:00 – 3:00 pm
Threat of Adversarial Attacks on Machine Learning in Network Security
Kunle Ibitoye, PhD candidate, Carleton, and Rana Abou Khamis, MASc candidate, Carleton
(Supervisors: Professors Ashraf Matrawy and Omair Shafiq, Carleton)
Resource Allocation with Deep Reinforcement Learning for Microgrid Communications
Dr. Melike Erol-Kantarci, Professor, uOttawa, and Medhat Alsayed, PhD candidate, uOttawa
Coffee Break: 3:00 – 3:30 pm
Afternoon Session II: 3:30 – 4:30 pm
Wireless Network Personalization: Why it Matters and How to Approach It
Rawan Alkurd, PhD candidate, Carleton
(Supervisors: Professors Ibrahim Abualhaol and Halim Yanikomeroglu, Carleton)
Machine Learning for Wireless Networks: Applications to Routing and Resource Management
Dr. Thomas Kunz, Professor, Carleton
We are now several years into explosion of machine learning (ML) in wireless networks, used to enrich decision-making by finding structures in data – knowledge discovery – as means to describe the user behavior and network performance. With new designs of wireless networks, complexity and dynamicity rises, network resources are scattered and diversity of network elements increases. Consider these examples with interesting challenges: 1) massive number of Internet-of-Things devices, sensors and actuators give rise to the problem of dynamic network planning; 2) broadband wireless leads to problems with real-time radio resource management; 3) ultra-reliable communications require support of real-time adjustments on latency and reliability in the orders of 99,99999%. For such designs artificial intelligence (AI) is expected to support high adaptability with respect to wireless environment and its services (e.g. virtual reality).
This talk discusses a paradigm shift from contemporary data-driven wireless with ML toward autonomous wireless with AI. We explore motivation, opportunities and methodology to adopt training-free AI methods for self-organization of wireless systems. We point out specific properties of wireless environment and classify future directions on training-free vs training-based systems. We start from popular data-driven ML techniques and briefly elaborate their benefits and shortcomings for wireless application mentioned above. The main focus is on reinforcement learning as a major (training-free) representative of AI. We briefly discuss learning principles of intelligent agent with problem of random exploration for wireless-specific environment. We discuss principles of self-organization by synthesizing reasoning and learning with knowledge management. Finally, we end with a case study using wireless AI prototype for self-deployment and self-optimization. The talk provokes new coming challenges and unveil interesting future directions across multi-disciplinary research areas.
Haris Gačanin received his Dipl.-Ing. degree in Electrical engineering from University of Sarajevo in 2000. In 2005 and 2008, respectively, he received MSc and PhD from Tohoku University in Japan. He worked at Tohoku University until 2010 as Assistant Professor and joined Alcatel-Lucent (now Nokia) in 2010, where he established research on data-driven analysis of communication systems at physical and media access layers. Currently, he is department head at Bell Labs and adjunct teaching professor at KU Leuven. His professional interests relate to research confluence between artificial intelligence and physical-layer communications to establish autonomous wireless systems. He has 200+ scientific publications (journals, conferences and patens) and invited/tutorial talks. He is senior member of IEEE and IEICE and recipient of IEICE Communication Systems Best Paper Award (joint 2014, 2015, 2017), The 2013 Alcatel-Lucent Award of Excellence, the 2012 KDDI Foundation Research Award, the 2009 KDDI Foundation Research Grant Award, the 2008 JSPS Postdoctoral Fellowships for Foreign Researchers, the 2005 Active Research Award in Radio Communications, 2005 Vehicular Technology Conference (VTC 2005-Fall) Student Paper Award from IEEE VTS Japan Chapter and the 2004 Institute of IEICE Society Young Researcher Award. He was awarded by Japanese Government (MEXT) Research Scholarship in 2002.
Admission: Free. Registration required.
Please register by e-mail contacting: email@example.com
Parking: Parking in Lots 8 and 9 after 5 p.m. is $5 flat rate, pay at a machine and display the ticket on
Download the official PDF here.
GaN HEMT has been a focus in both academia and industry, due to the extremely low figure of
merits (RDS(on) x QG) compared with conventional Silicon counterparts. The opportunities, challenges and design considerations for GaN HEMTs in industrial and automotive applications will be presented in the device/packaging and system perspectives. Design examples are detailed to show how the system
performance maximization is enabled by GaN HEMTs with minimum cost in the selected applications.
The key design procedures will be thoroughly discussed, i.e., topology selection, loss analysis, cost reduction, power stage layout, thermal design, etc.
This presentation is aimed at covering the fundamentals as well as the latest research and updates of GaN HEMTs applications. The target audience is the design engineers, researchers, graduate/undergraduate
students interested in industrial/automotive applications or just GaN technology.
Juncheng (Lucas) Lu received B.S. degree from Zhejiang University, Hangzhou, China, and M.S. degree from Kettering University, Michigan, USA. He was a research engineer with Delta Power Electronics Center, Shanghai, China. Since 2016, he has been with GaN Systems, Inc., Ottawa, Canada. He manages the head office applications and is responsible for Americas and EMEA application support. His research interest is wide bandgap devices application, power electronics packaging, high-efficiency high power
density power supply, and electric vehicle battery charger. He published more than 20 IEEE/SAE transaction and conference papers and holds 9 U.S. Patents.
|Risk Management (RM) is a process that provides
confidence that planned objectives will be achieved.
The focus of this seminar will be (1) Defining the risk management and
Speaker: Dr. Ola Abdrabou
Visiting Professor, the Infrastructure Protection and Security (IPIS) Program-
Organized by the IEEE Ottawa Section, IEEE Ottawa Lunch and Learn is an initiative to bridge the gap and derive synergy between Ottawa industry, academia, and government. The initiative, on a monthly basis, brings a speaker from either industry, academia, or government to the heart of the Kanata Tech Hub.
The seminar is accompanied by a complimentary lunch and a space to connect, communicate, and collaborate. Our attendees include members of industry, government, and academia. University and College students are encouraged to attend, network, and discover what’s new and exciting in Ottawa Tech. IEEE Ottawa L&L is FREE and OPEN TO ALL.
Perspectives on AI, the future impact on Engineering, Science and Technology
– May 2nd, 2019 –
Patent Agent, CTO Mindbridge AI
Artificial Intelligence (AI) is set to disrupt many professions and the future of any role will certainly involve AI. This is true for doctors, lawyers, accounts and even engineers. In this session, we will look at the factors which are bringing about this disruption. We will also explore the importance of explicability and a human-centric approach in AI technology to support improving professional judgement.
Robin currently works at MindBridge where he leads the development of a next generation AI Auditor which helps professionals detect and prevent financial anomalies including fraud.
Robin has a track record as an entrepreneur having founded successful software start- ups. He joined Cognos and subsequently IBM through acquisitions. In 2012 he was appointed IBM Distinguished Engineer. At IBM, he was a part of the Watson Group where he served as technical lead and chief architect of IBM Watson Analytics. Robin holds many patents in the areas of analytics, data processing and security. MindBridge Ai is a venture-backed FinTech company based in Ottawa, Canada. Through the application of machine learning and artificial intelligence technologies, the MindBridge platform detects anomalous patterns of activities, unintentional errors and intentional misstatements. Using MindBridge Ai Auditor, organizations across multiple industries can minimize financial loss, reduce corporate liability and can focus on providing higher value services to their clients.
Innovation enables organizations to open new avenues of product differentiation by customizing products. In today’s rapidly changing business environment, engineers must innovate quickly to incorporate new features while reducing development costs and delivering new products to the market before the competition. Simulation plays a key role in helping engineers drive innovation, enabling complete virtual prototypes of complex systems to be validated across all physics and engineering disciplines.
Join us as we return to Ottawa for our 4th Annual ANSYS Innovation Conference on May 8, 2019! This one-day conference will provide detailed insight into how leading companies are utilizing simulation to advance their product development. We will bring together ANSYS users, partners, developers, and industry experts for networking, learning, and sharing of new ideas.
What You Will Learn
- Experience new simulation capabilities that provide unprecedented design insight as they speed your time to market
- Incorporate various productivity enhancement tools and techniques into your engineering department’s workflow
- Gain insights into 5G system development with physics-based simulation and cover critical design issues, such as antenna performance, semiconductor reliability, and thermal integrity
- Identify signal integrity issues early in the design cycle for electronics IC packages, PCBs, connectors and other complex interconnects
- Modify antenna design, predict antenna efficiency and the overall thermal and EM performance of the product based on electromagnetic and thermal coupling solutions