Assoc Prof Dr. Mounib Khanafer | Body Area Network | Best Researcher Award

Assoc Prof Dr. Mounib Khanafer | Body Area Network | Best Researcher Award

Assoc Prof Dr. Mounib Khanafer, American University of Kuwait, Kuwait

Dr. Mounib Khanafer is an Associate Professor of Electrical and Computer Engineering at the American University of Kuwait (AUK), where he has been a faculty member since 2013. He holds a Ph.D. and a Master of Applied Science (M.A.Sc.) in Electrical and Computer Engineering from the University of Ottawa, Canada, and a B.Sc. in Electrical Engineering from Kuwait University. His research interests span wireless networks, Internet of Things (IoT), and data and computer communications. Dr. Khanafer has also served as a Research Collaborator at Dartmouth College, USA, and has held visiting professor positions at the University of Ottawa and Dartmouth College. His professional experience includes roles as a Software Designer at Nortel Networks and various teaching and research assistant positions at the University of Ottawa. Dr. Khanafer is certified by Professional Engineers Ontario (PEng), with his application currently pending. He has received specialized training in ABET accreditation, IoT, machine learning, and inclusive teaching practices. In his role at AUK, he designs and teaches courses such as Wireless Networks and Mobile Systems, Computer Networks, and Introduction to the Internet of Things, among others.

Professional Profile:

Summary of Suitability for Best Researcher Award

Mounib Khanafer has published several impactful papers in high-profile journals and conferences, including IEEE Communications Surveys & Tutorials, IEEE Instrumentation & Measurement Magazine, and IEEE Transactions on Intelligent Transportation Systems. His work covers diverse areas such as wireless sensor networks (WSNs), swarm intelligence, deep learning in instrumentation, and IoT, showcasing his broad expertise and influence in his field.

Education:

  • Ph.D. in Electrical & Computer Engineering
    University of Ottawa, Canada, 2012
  • M.A.Sc. in Electrical Engineering
    University of Ottawa, Canada, 2007
  • B.Sc. in Electrical Engineering
    Kuwait University, Kuwait, 2002

Work Experience:

  • Associate Professor, Electrical and Computer Engineering
    American University of Kuwait, Kuwait
    2019 – Present
  • Research Collaborator, Computer Science
    Dartmouth College, Hanover, NH, USA
    2022 – Present
  • Visiting Professor, Computer Science
    Dartmouth College, Hanover, NH, USA
    Summer 2022
  • Assistant Professor, Electrical and Computer Engineering
    American University of Kuwait, Kuwait
    2013 – 2019
  • Visiting Professor, School of Electrical Engineering & Computer Science (EECS)
    University of Ottawa, Ottawa, Canada
    Summer 2014
  • Postdoctoral Fellow, School of Electrical Engineering & Computer Science (EECS)
    University of Ottawa, Ottawa, Canada
    2012 – 2013
  • Teaching & Research Assistant, School of Electrical Engineering & Computer Science (EECS)
    University of Ottawa, Ottawa, Canada
    2008 – 2012
  • Software Designer, Operations, Administration, & Management
    Nortel Networks, Ottawa, Canada
    2005 – 2008
  • Intern (Master’s Student), Broadband and Optical Networks
    Communications Research Centre, Ottawa, Canada
    2004 – 2006
  • Teaching & Research Assistant, School of Electrical Engineering & Computer Science (EECS)
    University of Ottawa, Ottawa, Canada
    2003 – 2005
  • Visiting Scholar, Micro-Electro-Mechanical Systems
    Interuniversity Microelectronics Centre (IMEC), Leuven, Belgium
    Summer 2001

Publication top Notes:

CITED:170
CITED:117
CITED:112
CITED:79
CITED:30

 

 

Mr. Fulin Cai | Patient Monitor Award | Best Researcher Award

Mr. Fulin Cai | Patient Monitor Award | Best Researcher Award 

Mr. Fulin Cai, Arizona State University, United States

Fulin Cai is a dedicated Ph.D. student in Computer Engineering at Arizona State University (ASU) under the supervision of Teresa Wu, with a research focus on deep learning, medical signals, and healthcare. He earned his M.S. in Computer Engineering from ASU with a GPA of 3.86/4.0 in 2023. Prior to this, he completed an M.S. in Management Science and Engineering and a B.S. in Information Management and Information System from Shenzhen University (SZU), ranking high in his class. Fulin’s research has led to numerous publications in prestigious journals such as IEEE Sensors Journal and Frontiers in Physiology, with topics ranging from radar sensing to respiratory function monitoring. He has also presented his work at notable conferences like the Institute of Industrial and Systems Engineers (IISE) Annual Conference.

Professional Profile:

ORCID

Education 🎓

  • Arizona State University (ASU), Tempe, USA
    • Ph.D. Student in Computer Engineering (08/2020 – Present)
    • Supervisor: Teresa Wu
    • Research Interests: Deep Learning, Medical Signals, Healthcare
  • Arizona State University (ASU), Tempe, USA
    • M.S. in Computer Engineering, GPA: 3.86/4.0 (05/2023)
  • Shenzhen University (SZU), Shenzhen, China
    • M.S. in Management Science and Engineering, GPA: 86/100 (Rank 3) (06/2019)
    • Supervisors: Li Li and Xianghua Chu
    • Research Interests: Meta Learning, Reinforcement Learning, Optimization
  • Shenzhen University (SZU), Shenzhen, China
    • B.S. in Information Management and Information System, GPA: 3.56/4.0 (Rank 4) (06/2016)

Teaching Experience 👨‍🏫

  • Arizona State University, Tempe, USA
    • Information Systems Engineering (Spring 2024)
  • Shenzhen University (SZU), Shenzhen, China
    • Lecturer, College of Continuing Education:
      • Management Information System Analysis and Design (03/2017-06/2017)
      • Website Construction and Management (09/2017-12/2017)
      • E-commerce Technology (03/2018-06/2018)
      • Management Information System (03/2019-06/2019)
    • TA, Online Course: Living with Etiquette (03/2017-06/2018)

Working Experience 💼

  • Arizona State University, Tempe, USA (08/2020-Present)
    • Position: Graduate Research Assistant
    • Research Topic: Enhanced representation learning for human biosensing applications
    • Responsibilities:
      • Apply computer vision models to human biosensing applications (e.g., ECG for sleep apnea, radar data for physiological measurement and motion detection).
      • Improve representation learning of DL models from time and frequency perspectives when bio signal is treated as a spectrogram (1-channel image).
  • Huawei Technologies Co., Ltd, Shenzhen, China (07/2019-07/2020)
    • Position: Algorithm Engineer
    • Responsibilities:
      • Implementation of automatic channel selection algorithm.
      • Development of channel simulation software based on NS-3.

Academic Services 📝

  • Journal Reviewer:
    • Computers in Biology and Medicine
    • Biomedical Signal Processing and Control
    • Computers & Industrial Engineering
    • International Journal of Production Research
    • Quality and Reliability Engineering International

Publication top Notes:

E-BDL: Enhanced Band-Dependent Learning Framework for Augmented Radar Sensing

Corrections to “STRIDE: Systematic Radar Intelligence Analysis for ADRD Risk Evaluation With Gait Signature Simulation and Deep Learning” [May 23 10998-11006]

STRIDE: Systematic Radar Intelligence Analysis for ADRD Risk Evaluation With Gait Signature Simulation and Deep Learning

Cross-Trained Worker Assignment Problem in Cellular Manufacturing System Using Swarm Intelligence Metaheuristics