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

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Event Description

IEEE Montreal Section, IEEE Montreal Industry Relations Committee and the Montreal Chapters of IEEE CAS, ComSoc and TEMS, are very pleased to invite you to attend the 5th edition of IEEE Research Boost event that will take place at Concordia University, Montreal, on November 29th, 2018, 5:00 PM - 9:00 PM. The event aims to foster collaborative research projects and networking among the industry, government and academia, as well as to present some of the top candidates in the fields of Artificial Intelligence, 5G, Cybersecurity, Smart Grids, Smart Cities, Cloud Computing, Signal, Image and Video Processing, Computer Vision, Machine Learning, Circuits and Systems, and Biomedical Engineering. It is an evening event during which invited experts and leaders from the industry, government and academia will present some of the state-of-the-art innovations in their field of expertise. Two poster sessions are available to offer a great opportunity for Graduate Students and Postdoctoral Fellows of accepted abstracts to present the significance of their research work to the industry, government, start-up incubators 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 food and refreshments will be served. Looking forward to welcome you all for an exciting event!

Event Subjects

  • Artificial Intelligence
  • 5G
  • Cybersecurity
  • Smart Grids
  • Smart Cities
  • Cloud Computing
  • Signal, Image and Video Processing
  • Computer Vision
  • Machine Learning
  • Circuits and Systems
  • Biomedical Engineering

Registration

Registration is free but the number of places is limited. To reserve your seat, please follow the instructions here: RB2018 at Eventbrite. 

Abstract Submission

  • Graduate Students and Postdoctoral Fellows who are interested to participate in the poster or demo sessions should submit an abstract of length not more than 550 words for their research work. 
  • The abstract should be self-contained and discuss critically the motivation, problem statement, as well as the proposed scheme and its applications.
  • The authors of accepted abstracts will be invited to submit their photos and short biographies, and they will be provided with important guidelines for the poster presentations. 
  • All abstracts should be submitted through the URL of Research Boost 2018 at Microsoft conference management toolkit (CMT) website:
    https://cmt3.research.microsoft.com/RB2018. 
    Steps: (1) Create New Account. (2) Logout. (3) Login by using the URL of RB at CMT. (4) Select a track, and then create a new submission.
  • This chance will allow a participant to establish a research collaboration, get an internship opportunity, job offer or explore an entrepreneurship opportunity!

Important Dates

  • Registration closes:  Nov. 23rd, 2018
  • Abstract submission deadline: Nov. 21st, 2018 @ 23:59 hr (EDT) [No Extension]
  • Author notification:  Nov. 22th, 2018

Organization Committee

  • Prof. Amy Pinchuk, Chair of IEEE Montreal Section - Co-sponsor and Co-organizer
  • Prof. Mustafa K. Mehmet Ali, 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
  • Prof. Anader Benyamin-Seeyar, Chair of Montreal Chapter of IEEE Communications Society - Co-sponsor
  • Dr. Hamidreza Sadreazami, Chair of IEEE Montreal Industry Relations Committee
  • Dr. Mohamed Naiel, Past Chair of IEEE Montreal Industry Relations Committee
  • Mr. Raphael Tana, Vice-Chair of IEEE Montreal Industry Relations Committee
  • Dr. Jalal Habibi, Co-Chair of Event Planner Team, IEEE Montreal IRC
  • Dr. Marzieh Amini, Co-Chair of Event Planner Team, IEEE Montreal IRC
  • Dr. Mohammad Rizwan Khan, Co-Chair of Publicity Team, IEEE Montreal IRC
  • Dr. Hamed Abdzadeh, Co-Chair of Publicity Team, IEEE Montreal IRC
  • Ms. Razieh Hassanshahi, Co-Chair of Event Coordinator Team, IEEE Montreal IRC
  • Mr. Omid Saatlou, Co-Chair of Event Coordinator Team, IEEE Montreal IRC


  Date and Time

  Location

  Contact

  Registration



  • Concordia University
  • 1450 Guy St.
  • Montreal, Quebec
  • Canada H3H 0A1
  • Building: EV Building
  • Room Number: EV002.260
  • 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

    Dr. Mohamed Naiel
    Past Chair of IEEE Montreal Industry Relations Committee, IEEE Montreal Section
    E-mail: m.a.naiel@ieee.org

    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


  Speakers

Invited Keynote Speakers

Invited Keynote Speakers

Dr. Layla El Asri, Research Manager at Microsoft Research Montréal

Talk Title:  Dialogue Interfaces for Generative Models

Bio: Layla El Asri is a research manager at Microsoft Research Montréal. She completed a Ph.D. in computer science at Université de Lorraine in France in 2016. Her Ph.D. was a joint project between Université de Lorraine and Orange Labs, the research and development branch of Orange, a French telecommunication company. Her research focused on learning the parameters of reinforcement learning for dialogue systems and she proposed novel methods to learn a reward function from a set of dialogues which were rated by humans. She also worked on learning an interpretable representation of the state space. Her main research interests are currently: the evaluation of dialogue systems, offline learning on human-human dialogues, and multi-modal dialogue.

 

 

Dr. Carolina Bessega, Chief Scientific Officer at Stradigi

Talk Title:  Exploring the Importance of ML Interpretability

Bio: Carolina Bessega combines an entrepreneurial mindset alongside 25+ years of experience in research, development and broad programming. After being a professor of computational physics and astrophysics for a decade in Venezuela, she decided to move to Canada which ultimately led to her meteoric rise as Stradigi AI’s Chief Scientific Officer. Having conducted extensive AI research since 2002, she is a highly sought-after speaker and has worked alongside renowned advisors and business pioneers in the industry enabling her to continuously create, innovate, and develop new solutions to complex business problems.

 

 

Dr. Bahar Pourbabaee, Machine Learning Researcher at OMsignal

Talk Title: AI and Wearable Devices Applications in Clinical Diagnosis, Prognosis and Health Monitoring

Bio: Bahar Pourbabaee is a machine learning researcher at OMsignal. She holds a PhD degree in electrical engineering with over a decade of experience in dynamic system modelling, machine learning, intelligent systems and time series analysis for different applications ranging from aircraft control to biomedical data analysis and healthcare. Her research is focused on developing cardiac and pulmonary health monitoring techniques, sleep disorder detection, physical and mental stress and fatigue monitoring using supervised and unsupervised learning approaches. Currently, her main research interest are designing deep convolutional and recurrent neural networks for sleep analysis, multi-task learning as well as developing feature extraction and classification methods for cardiac health monitoring applications.

 

 

Dr. Marwan KanaanNSERC-RJM Team Lead on Wireless IP Technology for Developing Countries

Talk Title: Delivering Internet Access to Villages in the Amazon

Bio: Marwan Kanaan is the Team Lead of the Richard J. Marceau Research Chair at ETS headed by Professor François Gagnon and aims to provide internet access to deprived communities in developing countries. His research focuses on wireless telecommunications, machine learning, and circuit simulations. Marwan is also a lecturer at McGill University where he teaches in the Faculty of Engineering and has won several teaching awards, including the Faculty's Outstanding Teaching Award in 2014 and the Principal's Prize for Excellence in Teaching in 2018.

Invited Keynote Speakers - Session 4

Invited Keynote Speakers - Session 4





Agenda

Event Agenda

17:00 Registration opens

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

18:00 Session 2 in EV02.260: Welcome Speech by Mr. Raphael Tana from IEEE Montreal IRC

18:05 Dr. Layla El Asri, Microsoft Research Montréal

         "Dialogue Interfaces for Generative Mode"

18:30 Dr. Carolina Bessega, Stradigi

        "Exploring the Importance of ML Interpretability"

18:55 Session 3: Poster session and networking

19:40 Session 4: Invited Keynote Speakers

19:40 Dr. Bahar Pourbabaee, OMsignal

        "AI and Wearable Devices Applications in Clinical Diagnosis, Prognosis and Health Monitoring"

20:05 Dr. Marwan Kanaan, NSERC-RJM 

        "Delivering Internet Access to Villages in the Amazon"

20:30 Session 5: Closing remarks and award ceremony

 

Poster Sessions:  (Bios and Abstracts)

[1]  N-bit ∆∑ optical transmitter for digitized radio over fiber fronthaul transmission, 
Olivier M Cotte (McGill University)*; Xiupu Zhang (Concordia University)

[2]  IoThreat: Detecting compromised IoT devices and characterizing underlying threats
Sadegh Torabi (Concordia University)*; Chadi Assi (Concordia University); Elias Bou-Harb (Florida Atlantic University)

[3]  Using machine learning for quality configurable approximate computing
Mahmoud S Masadeh (Concordia University)*; Osman Hasan (Concordia University); Sofiene Tahar (Concordia University)

[4]  Tricone drill bit condition monitoring system
Hamed Rafezi (McGill University)*

[5]  Feature location using crowd-based screencasts
Parisa Moslehi (Concordia University)*

[6]  The RLLChatbot: a solution to the ConvAI challenge
Nicolas Gontier (Mila)*

[7]  Device-aware cell association in heterogeneous cellular networks: A matching game approach
Mohamed Elhattab (Concordia University)*

[8]  False data injection attacks against industrial wireless sensor networks in smart grid
Jiachen Liu (McGill University)*; Fabrice Labeau (McGill University)

[9]  High efficiency dual-band ultra-low-power RF energy harvesting for wearable devices and biomedical applications
Seyed Mohammad Noghabaei (Polytechnique Montreal)*; Rafael Radin, Yvon Savaria and Mohammad Sawan

[10]  A cross-layer error correction approach for TCP protocol over 5G communications
Mona Naghashi (École de technologie supérieure)*; Stephane Coulombe (ETS)

[11]  Semantic hashing for fast image retrieval
Farzad Sabahi (Concordia University)*; M. Omair Ahmad (Concordia University); M.N.S. Swamy (Concordia University)

[12]  Traffic prediction by visual relationship and attribute detection
Mohsen Amoei (Concordia )*; Anjali Awasthi (Concordia)

[13]  A novel systematic optimization framework for designing wavelength division multiplexer
Seyed Mohammad Mirjalili (Concordia University)*

[14]  CompNet: A new scheme for single image super resolution based on deep learning
Alireza Esmaeilzehi (Concordia University)*; M. Omair Ahmad (Concordia University); M.N.S. Swamy (Concordia University)

[15]  Normalization and weighting techniques based on genuine-impostor score fusion in multi-biometric systems
Waziha Kabir (Concordia University)*; M. Omair Ahmad (Concordia University); M.N.S. Swamy (Concordia University)

[16]  An efficient denoising framework using weighted overlapping group sparsity
Ahlad kumar(Concordia University)*; M. Omair Ahmad (Concordia University); M.N.S. Swamy (Concordia University)