The Sixth IEEE Research Boost | "Give your research an industrial edge"

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      Description

IEEE Montreal Section, IEEE Montreal Industry Relations Committee and Montreal Chapters of IEEE CAS, ComSoc and TEMS, are very pleased to invite you to attend the 6th edition of IEEE Research Boost event that will take place at Concordia University, Montreal, on October 30th, 2019, 5:00-9:00 PM. The event aims to foster collaborative research projects and networking among the industry, government and academia. It is an evening event during which invited experts and leaders from the industry, government and academia present some of the state-of-the-art innovations in their field of expertise. A poster session is available to offer a great opportunity for graduate students and postdoctoral fellows of accepted abstracts to present their research work to the industry, government and a distinguished judging panel. Three prizes of values $300, $200 and $100 will be offered to the best three participants in the poster competition. The event is of free registration and refreshments will be served. Looking forward to welcoming you at this exciting event!

Event Subjects

  • Artificial Intelligence
  • Machine Learning
  • Cybersecurity
  • Computer Vision
  • Smart Grids
  • Smart Cities
  • Cloud Computing
  • Signal Processing
  • Circuits & Systems
  • 5G

Registration & Important Dates

Registration is free but the number of places is limited. To reserve your seat, please follow the instructions in Eventbrite-6thIEEERB

  • Registration closes:  Oct. 25th, 2019
  • Abstract submission deadline: Oct. 22nd, 2019
  • Author notification:  Oct. 23rd, 2019

Abstract Submission

  • Graduate students & postdoctoral fellows who are interested to participate in the poster or demo session may submit an abstract about their research work through Microsoft conference management toolkit (CMT) website: https://cmt3.research.microsoft.com/RB2019. Steps: (1) Create new account. (2) Login by using the URL of RB at CMT (3) Select a track and create a new submission.
  • The abstract should be self-contained and discuss the motivation of the proposed scheme, problem statement and its applications. 

Organization Committee

  • Prof. Rastko Selmic, Concordia University, Graduate Program Director - Co-sponsor and Co-organizer
  • Prof. M. Omair Ahmad, Concordia University, Chair of Montreal Chapter of IEEE CAS - Co-sponsor and Co-organizer
  • Dr. Anader Benyamin-Seeyar, Chair of Montreal Chapter of IEEE Communications Society - Co-sponsor
  • Dr. Hamidreza Sadreazami, Chair of IEEE Montreal Industry Relations Committee
  • Mr. Raphael Tana, Vice-Chair of IEEE Montreal Industry Relations Committee
  • Dr. Mohamed Naiel, Past Chair of IEEE Montreal Industry Relations Committee
  • Dr. Marzieh Amini, Chair of Event Planner Team, IRC
  • Dr. Hamed Abdzadeh, Chair of Publicity Team, IRC
  • Ms. Razieh Hassanshahi, Co-Chair of Event Coordinator Team, IRC
  • Dr. Omid Saatlou, Co-Chair of Event Coordinator Team, IRC


  Date and Time

  Location

  Contact

  Registration



  • Concordia University
  • 1450 Guy St.
  • Montreal, Quebec
  • Canada H3H 0A1
  • Building: SGW
  • Room Number: 2.260
  • Click here for Map
  • For additional information, please contact:

    Dr. Hamidreza sadreazami
    Chair of IEEE Montreal Industry Relations Committee, IEEE Montreal Section
    E-mail: sadreazami@gmail.com


    Mr. Raphael Tana
    Vice-Chair of IEEE Montreal Industry Relations Committee, IEEE Montreal Section
    E-mail: rtana@fonex.com

  • Co-sponsored by IEEE Montreal Section, IEEE Montreal Industry Relations Committee and the Montreal Chapters of IEEE ComSoc, CAS, and TEMS
  • Starts 01 September 2019 12:41 PM
  • Ends 26 October 2019 05:00 PM
  • All times are Canada/Eastern
  • No Admission Charge
  • Register


  Speakers

Invited Keynote Speakers

Invited Keynote Speakers

Dr. Kevin Heffner, Director of Innovation at Computer Research Institute of Montreal (CRIM)

Talk Title: Enabling Technologies for Future Intelligent Transportation Systems

Bio: Kevin Heffner joined the Computer Research Institute of Montreal (CRIM) in 2017 as Innovation Director. Kevin holds a Bachelor of Science in Engineering (1987), a master’s degree in fluid dynamics from the von Karman Institute and a Ph.D in Mechanical Engineering. After starting his career at NASA, Kevin obtained his doctorate in the area of stability and control of space vehicles in the context of research performed for the French National Space Agency. Kevin has more than 30 years of experience in numerical methods, modeling and simulation and systems engineering. His main activity over the last ten years has been in the practical use of artificial intelligence technologies for applications in the aerospace and defence sector. Kevin is specialized in system interoperability and has participated in numerous interoperability standardization activities. In 2013, he received the NATO Scientific Achievement Award for his contribution in the standardization of interoperability between command and control systems and simulations. His recent research activities deal with the development of intelligent systems, including autonomous unmanned aerial vehicles and autonomous ships. 

 

Dr. Alexandre Le Bouthillier, Co-Founder at Imagia

Talk Title: Impact of AI in Healthcare Industry

After 20 years of experience in IT for hospitals, space agencies, and city-wide storage infrastructure, Alexandre Le Bouthillier transformed his understanding of large systems to tackle the inefficiencies in healthcare. Now, Alexandre is working with world renowned AI experts and physicians to revolutionize the speed, accuracy, and ultimately clinical outcomes of patients. He is Board member at Mila, IVADO, MEDTEQ & Montreal InVivo. With a PhD in Parallel Computing and Optimization from the University of Montreal, Le Bouthillier co-founded Imagia to realize the power of data across all medical organizations, working collaboratively to achieve medical breakthroughs.

 

Dr. Samira Shabanian, Senior Research Scientist at Microsoft Research Canada

Talk Title: How to Bridge the Gap between AI Research in Academia and Industry

Bio: My two major interests and passions are Computer Science and Mathematics, and I believe that there is a creative fusion between these two disciplines. Mathematics came to be my first chosen field quite naturally and I followed my passion until receiving a PhD in Mathematics. My research field tied with Nonlinear Analysis and Optimization and I did my research activities especially on the generalization of variational relations and fixed point theorems in geodesic and modular spaces.​ As a part of my research interest, I then decided to take the Computer Science path and work on this interesting field. So, I studied Machine Learning at MILA laboratory under Yoshua Bengio’s supervision. My research interests include deep learning, learning from high-dimensional data, training deep generative models and language models. My research project currently concerns the study of deep generative models and especially showcasing the power of these models for different problems.​

 

Mr. Yoram Perez, Manager, Intact Lab- Data Science in Montreal 

Talk Title: Data Science at Intact Lab

Bio: Mr. Perez studied at Concordia University in Actuarial Mathematics / Finance and started working at Intact (largest Property and Casualty Insurer in Canada) in 2011 as an actuarial analyst. In 2014, he became an expat representing Intact in Brazil, working for a medium-sized start-up who was the first to sell insurance online in Brazil. Over the last year, he's had different management opportunities, and the latest one is working as a manager for Intact Lab, Data Science. He is an avid chess player and welcomes any challengers.

 

Mr. Phil Rivard, Director of Venture Managers at NEXT AI-Montreal

Talk Title:  NextAI - Start your AI company

Bio: Phil Rivard started his entrepreneurial journey at 19 when he founded ZQuared Media (pronounced "squared media"), a small digital agency helping local SMBs getting on the web in the early '90s. He designed coded and hosted hundreds of websites with ZQuared. He went corporate for a while as a SOX IT Audit & Compliance Consultant for Quebecor World Inc., but then came back to his entrepreneur roots with NUKERN, a SaaS platform that automates needlessly complex and time-consuming tasks for digital agencies and web hosting companies. With 15+ years’ experience in IT and web hosting, Phil graduated from different accelerators such as Founder Institute Montreal and Techstars Austin. Phil is now the Director of Venture Managers @ NextAI - Montreal, and is genuinely passionate about helping entrepreneurs learn from the mistakes he made in the past.

Invited Keynote Speakers - Session 4





Agenda

Event Agenda

17:00 Registration opens

17:00 Session 1: Poster session and networking in EV 3.309

18:00 Session 2 in EV02.260: Welcome Speech

18:05 Dr. Kevin Heffner, CRIM

         "Enabling Technologies for Future Intelligent Transportation Systems"

18:25 Dr. Alexandre Le Bouthillier, Imagia

          "Impact of AI in Healthcare Industry"

18:45 Mr. Phil Rivard, NEXT-AI Montreal

          "NextAI - Start Your Company”

19:00 Session 3: Poster session and networking

19:40 Session 4: Invited Keynote Speakers

19:45 Dr. Samira Shabanian, Microsoft

          "How to Bridge the Gap between AI Research in Academia and Industry"

20:05 Mr. Yoram Perez, Intact

          "Data Science at Intact Lab"

20:30 Session 5: Closing remarks and award ceremony

 

Poster Session

[1]

Image Hashing-based Copyright Detection using Visual Saliency Detection

Farzad Sabahi*, M. Omair Ahmad and M.N.S. Swamy; Concordia Uni.

[2]

Analysis of an Optical Neural Network
Simon llp Geoffroy-gagnon*, F. Shokraneh and O. Liboiron-Ladouceur; McGill Uni.

[3]

Ultra Low Power Triple Band Ambient RF Energy Harvesting for the Internet of the Things and Wearable Applications 
Seyed Mohammad Noghabaei*; R. Radin and M. Sawan; Polytechnique Montreal 

[4]

ECG Beat Analysis Using Discrete Wavelet Coefficients 
Azfar Adib*; Concordia Uni.

[5]

Thermoelectric Cooling Garment 
Hakim Mohellebi*; École de Technologie Supérieure

[6]

Energy Efficient Polar Decoders for 5G and Beyond
Furkan Ercan*, T. Tonnellier and W. Gross; McGill Uni.

[7]

Tuneable Ferrite Loaded Isolator for Millimeter-wave Application in 5G Systems
Moein Noferesti*; INRS

[8]

A Very Fast Scheme for an Accurate Boundary Detection based on Deep Convolutional Neural Network 
Abdulah M. Alamaren*; M. Omair Ahmad and M.N.S. Swamy; Concordia Uni.

[9]

Designing an Optimal Threshold Value for Ternary Event-based State Estimation using Multi Objective Particle Swarm Optimizer 
Somayeh Davar*; Concordia Uni.

[10]

Optical Coherence Tomography as a Biomarker of Retina Damage in Diagnosis of Multiple Sclerosis 
Homa Tahvilian*, R. Kafieh, M. Omair Ahmad and M.N.S. Swamy; Concordia Uni.

[11]

Internet of Things Solutions for Campuses: A Comparative Study of Clustering Techniques 
Mahsa Hadian*; Polytechnique Montreal 

[12]

New Waveguide Coupler Method for Permittivity Measurement at Millimeter-wave Applications 
Karrar N.S. Al Khanjar*; INRS

[13]

A Dense Residual Network with Reduced Parameters for Volumetric Brain Tissue Segmentation 
Ramesh Basnet*; Concordia Uni.

[14]

Cardiac Cycle Synchronization from Multi-view Angiography with Deep Learning 
Raphael Royer-Rivard*; Polytechnique Montreal 

[15]

Quantitative Performance Evaluation Methods for Feature Extraction and Matching Algorithms in MIS Images 
Muhammad Reza Pourshahabi*, M. Omair Ahmad and M.N.S. Swamy; Concordia Uni.

[16]

Design, Analysis and Optimization of Novel Optical Devices Incorporating Data Transmission based on the Orbital Angular Momentum of Light for the Physical Layer of 5G Wireless Communication Networks 
Seyed Mohammad Mirjalili*; Concordia Uni.

[17]

A Study Review of Risk Management in Smart Centers Offering Advances Cancer Radiotherapy
Malakeh Saberi* and Pirooz Moayeri Maleki; Concordia Uni.

[18]

Development of Elastomeric Optical Waveguides as a Platform for Flexible Biomedical Sensors
Koffi Novignon Amouzou*; École de Technologie Supérieure

[19]

Design and Hardware Implementation of Image Steganography for Real-time Embedded Systems using Paillier Public key Cryptography
Salah Sami Harb*, M. Omair Ahmad and M.N.S. Swamy; Concordia Uni.

[20]

High Frequency Subband Energy Maximization for Neuroimaging Fusion in Nonsubsampled Shearlet Domain
Emimal Jabason*, M. Omair Ahmad and M.N.S. Swamy; Concordia Uni.