Shaikha Al-Naimi

PhD Student Quantum Computing

Shaikha Al-Naimi

PhD Student Quantum Computing

Mai Mohammed Saed

Master Student Quantum Computing

Mai Mohammed Saed

Master Student Quantum Computing

Noora Al-Marri

Master Student Quantum Computing

Noora Al-Marri

Master Student Quantum Computing

Nasser Al-Maadeed

Master Student Quantum Communication

Nasser Al-Maadeed

Master Student Quantum Communication

Fahad Saleh Al-Obaidly

Master Student Quantum Computing

Fahad Saleh Al-Obaidly

Master Student Quantum Computing

Dr. Nezir Aydin

Associate Professor

Office location

A101I

Dr. Nezir Aydin

Associate Professor

Educational Qualifications

PhD in Industrial and Systems Engineering

MSc in Industrial Engineering

Entity

College of Science and Engineering

Division

Engineering Management & Decision Sciences

Biography

Dr. Nezir Aydin is an Associate Professor at Hamad Bin Khalifa University’s College of Science and Engineering. He has a BSc and MSc in Industrial Engineering from Yildiz Technical University, Istanbul, Turkiye, and a PhD in Industrial and Systems Engineering from Wayne State University, Detroit, USA.

For over twenty years of academic and research activities, he has been conducting research in decision-making under uncertainty, mathematical modeling, and stochastic optimization in logistics, operations, and supply chain management. He has published over 60 papers in international journals.

PhD in Industrial and Systems Engineering

Wayne State University, United States

2012

MSc in Industrial Engineering

Yildiz Technical University, Turkiye

2007

BSc in Industrial Engineering

Yildiz Technical University, Turkiye

2005

  • Supply chain management
  • Mathematical modeling and operations optimization
  • Stochastic optimization
  • Decision-making under uncertainty

Associate Professor

College of Science and Engineering, Hamad Bin Khalifa University

2024 - Present

Associate Professor

Industrial Engineering, Yildiz Technical University, Turkiye

2018 - 2023

Assistant Professor

Industrial Engineering, Yildiz Technical University, Turkiye

2014 - 2018

Instructor/Teaching Assistant

College of Engineering, Wayne State University, United States

2007 - 2012

Research Assistant

Industrial Engineering, Yildiz Technical University, Turkiye

2005 - 2007

  • Best Presentation Award, Graduate Research Symposium, November 2010, Industrial and Systems Engineering, Wayne State University,
  • Awarded as the winner of Thomas C. Rumble University Graduate Fellowship (Fall 2009-Winter 2010), Industrial and Systems Engineering, Wayne State University,
  • Best Presentation Award, Graduate Research Symposium, November 2008, Industrial and Systems Engineering, Wayne State University,
  • Bright Students Scholarship/Awards, 2000-2005, Sabanci Holding Company, Turkiye.

Dr. Mohammad Obaidah Shaqfeh

Lecturer

Office location

Manufactory – 241A

Dr. Mohammad Obaidah Shaqfeh

Lecturer

Educational Qualifications

PhD in Research (Digital Communications)

MSc in Communications Technology

Entity

College of Science and Engineering

Biography

Dr Mohammad Shaqfeh is a Lecturer in the College of Science and Engineering at Hamad Bin Khalifa University. He completed his Bachelor’s degree in Electrical Engineering from United Arab Emirates University, an MSc degree in Communications Technology from Ulm University, Germany, and a PhD in Digital Communication from The University of Edinburgh, United Kingdom. In addition to a PhD degree in engineering, Dr Shaqfeh also holds a MicroMasters degree in Artificial Intelligence from Columbia University via edX in 2017, and an MA degree in Islamic Studies from Hamad Bin Khalifa University.

He has more than fifteen years of academic (research and teaching) experience at Texas A&M University at Qatar. His teaching experience spans many courses including Computer Programming and Algorithms, Digital Systems Design, Computer Architecture and Design, Embedded Systems, Electronics, Signals and Systems, and Electricity & Magnetism.

Dr Shaqfeh has long research experience in the fields of wireless communication systems and machine learning. He published scholarly papers in high-impact international journals and conferences and has been the Principal Investigator of eight projects funded by Qatar National Research Funds (QNRF).

PhD in Research (Digital Communications)

The University of Edinburgh, United Kingdom

2009

MSc in Communications Technology

Ulm University, Germany

2005

BSc in Electrical Engineering

United Arab Emirates University, UAE

2003

  • Theoretical foundations of machine learning and artificial intelligence
  • Distributed and federated learning
  • Computer vision for medical applications
  • Wireless communication systems

Lecturer

College of Science and Engineering, Hamad Bin Khalifa University

2024 - Present

Visiting Lecturer

Electrical and Computer Engineering, Texas A&M University at Qatar

2019 - Present

Associate Research Scientist

Electrical and Computer Engineering, Texas A&M University at Qatar

2012 - 2022

  • Principal investigator in eight projects funded by QNRF with total research grants of more than 3.8 M USD.
  • Exemplary reviewer for IEEE Wireless Communications Letters and IEEE Communication Letters.
  • The Dean’s Award for the best research fellow at Texas A&M University at Qatar.
  • Top student awards in the Master's program at Ulm University, and the Bachelor's program at UAEU.

Dr. Khalid Qaraqe

Professor

Office location

246M, Engineering Building

Dr. Khalid Qaraqe

Professor

Educational Qualifications

PhD in Electrical Engineering

MSc in Electrical Engineering

Entity

College of Science and Engineering

Biography

Dr. Khalid A. Qaraqe is a Professor in the College of Science and Engineering at Hamad Bin Khalifa University. Dr. Qaraqe completed his Bachelors in Electrical Engineering from the University of Technology, Iraq and Masters in Electrical Engineering from the University of Jordan. He earned his PhD in Electrical Engineering from Texas A&M University, College Station, Texas, United States.

From 1989 to 2004, Dr. Qaraqe held various positions in several prominent telecommunication companies and has over 12 years of experience in the telecommunication industry. Dr. Qaraqe has worked on numerous projects and has experience in product development, design, deployments, testing, and integration.

Dr. Qaraqe's research interests include communication theory and its application to wireless communication systems design and performance analysis. His main research interests are mobile networks, broadband wireless access, cooperative networks, cognitive radio, diversity techniques, Index Modulation, Reconfigurable Intelligent Surfaces (RISs), mmWave, THz, Visible Light Communication (VLC), FSO, and telehealth applications.

Dr. Qaraqe has also been awarded over 14 million USD in competitive research grants for his research initiatives. He has published 5 books, 20 book chapters, 5 US patents, and more than 200 journals and 313 conference papers.

PhD in Electrical Engineering

Texas A&M University, College Station, USA

1997

MSc in Electrical Engineering

The University of Jordan, Jordan

1989

BSc in Electrical Engineering

University of Technology, Iraq

1986

  • Broadband wireless access
  • Lightweight security for wireless networks
  • AI and Machine learning for wireless communication
  • 6G & beyond systems

Professor

College of Science and Engineering, Hamad Bin Khalifa University

2024 - Present

Professor

Department of Electrical and Computer Engineering, Texas A&M University at Qatar

2009 - 2024

Associate Professor

Department of Electrical and Computer Engineering, Texas A&M University at Qatar

2004 - 2009

Lead Performance Engineer

Qualcomm, San Diego, United States

2002 - 2004

Consultant

Enad Design Systems, United States

2001 - 2002

Principal and Architect Engineer

Cadence Design Systems, United States

1997 - 2001

PhD Student

Texas A&M University College Station, United States

1994 - 1997

Technical Engineer

Ericsson Telecommunication, Saudi Arabia

1989 - 1994

Althunibat, S., Dabiri, M. T., Hasna, M. O., & Qaraqe, K. (2023). Secrecy analysis of directional mmWave UAV-based links under hovering fluctuations. IEEE Open Journal of the Communications Society, 4, 3030–3039.

Doğan-Tusha, S., Tusha, A., Althunibat, S., & Qaraqe, K. (2023). Orthogonal time frequency space multiple access using index modulation. IEEE Transactions on Vehicular Technology, 72(12), 15858–15866.

Alaca, O., Althunibat, S., Yarkan, S., Miller, S. L., & Qaraqe, K. A. (2023). Secrecy analysis of uplink IM-OFDMA systems in the presence of IQ imbalance. IEEE Transactions on Vehicular Technology, 72(11), 14411–14425.

El Bouanani, F., Lahmar, I., Alaoui Ismaili, Z. E. A., & Qaraqe, K. A. (2023). On the secrecy analysis of dual-hop SWIPT-based multi-source underlay cognitive radio networks. IEEE Transactions on Cognitive Communications and Networking, 9(1), 114–129.

Labghough, S., Ayoub, F., El Bouanani, F., Belkasmi, M., & Qaraqe, K. A. (2023). Mixed RF/FSO SWIPT-based OSLMD coded AF cooperative communication system: Performance analysis. IEEE Transactions on Green Communications and Networking, 7(1), 84–100.

Complete Publication Listing(s): Google Scholar | DBLP

  • Best paper award, IEEE Globecom 2014.
  • Best Researcher Award, QNRF, May 2013.
  • Itochu Professorship Award, 2013-2015.
  • TAMUQ Research Excellence Award in April of 2010.
  • IEEE Signal Processing Magazine Best Column Award for year 2018 for paper titled: ``Gaussian Assumption: The Least Favorable but the Most Useful”, published in the March, 2013 issue of the prestigious IEEE Signal Processing Magazine (IF=7.451).

Dr. Hussein Alnuweiri

Professor

Dr. Hussein Alnuweiri

Professor

Educational Qualifications

PhD in Electrical & Computer Engineering

MS in Electrical Engineering

Entity

College of Science and Engineering

Biography

Hussein Alnuweiri is a Professor at the College of Science and Engineering at Hamad Bin Khalifa University. He received his PhD in electrical and computer engineering from the University of Southern California, Los Angeles. Before joining HBKU, he was a professor at Texas A&M University at Qatar and the University of British Columbia in Vancouver, BC, Canada.

From 2000 to 2006, he served as a Canadian Delegate to the ISO/IEC JTC1/SC29 Standards Committee (MPEG-4 Multimedia Delivery), where he worked within the MPEG-4 standardization JTC1- SC29WG11 group and contributed one of the first client-server video streaming reference software. He has an established record of industrial collaborations with several major companies worldwide. He is also an inventor and holds four US patents.

Hussein Alnuweiri has authored or co-authored over 250 refereed journal and conference papers in various areas of computing and communications research. His current research interests are in Digital Transformation technologies including intelligent Internet computing, responsive digital twin platforms, applied AI, Internet-of-Things, and mobile and cloud computing.

PhD in Electrical & Computer Engineering

University of Southern California, United States

1989

MS in Electrical Engineering

King Fahd University of Petroleum and Minerals, Saudi Arabia

1984

BS in Electrical Engineering

King Fahd University of Petroleum and Minerals, Saudi Arabia

1983

  • Intelligent Systems
  • Internet Computing
  • Applied machine learning
  • Cloud Computing

Professor

College of Science and Engineering, Hamad Bin Khalifa University

2024 - Present

Professor

Electrical and Computer Engineering, Texas A&M University at Qatar

2007 - 2024

Professor

Electrical and Computer Engineering, University of British Columbia, Canada

1991 - 2007

  • Maersk Oil Qatar (MOQ) Professorship in STEM Leadership – 2016, Maersk Oil Qatar
  • Faculty Research Excellence Award – 2014, Texas A&M University

Dr. Mohammad Azizur Rahman

Associate Professor

Office location

234J (Manufactury)

Dr. Mohammad Azizur Rahman

Associate Professor

Educational Qualifications

PhD in Mechanical Engineering

MASc in Mechanical Engineering

Entity

College of Science and Engineering

Biography

Dr. Mohammad Azizur Rahman is an Associate Professor in the College of Science and Engineering at Hamad Bin Khalifa University. Before joining HBKU, he held positions as an Associate Professor at Texas A&M University at Qatar and Memorial University of Newfoundland. He also worked as a Lecturer at the University of Alberta, where he earned his PhD in 2010. He is also a Professional Engineer in Alberta and a member of professional organizations including ASME and SPE.

Dr. Rahman has collaborated on various research projects with companies such as TotalEnergies, QatarEnergy LNG, Schlumberger, North Oil Company, Syncrude Canada, GRi Simulations, and others. Throughout his career, he has secured approximately $3.5 million in research funding from organizations like the Qatar Foundation, the Natural Sciences and Engineering Research Council of Canada, and the Newfoundland Research & Development Corporation.

PhD in Mechanical Engineering

University of Alberta, Canada

2010

MASc in Mechanical Engineering

Dalhousie University, Canada

2004

BSc in Mechanical Engineering

Bangladesh University of Engineering and Technology, Bangladesh

2000

  • Multiphase Flow
  • Atomization
  • Flow Assurance including CO2 Injectivity and Leak Detection
  • Computational Fluid Dynamics Modelling

Associate Professor

College of Science and Engineering, Hamad Bin Khalifa University

2024 - Present

Associate Professor

Petroleum Engineering, Texas A&M University at Qatar

2020 - 2024

Assistant Professor

Petroleum Engineering, Texas A&M University at Qatar

2016 - 2020

Assistant Professor

Process Engineering, Memorial University of Newfoundland, Canada

2013 - 2015

Lecturer

Mechanical Engineering, University of Alberta, Canada

2012 - 2013

  • 2024; SPE Service Award, SPE.
  • 2024; Multiversity Award, TAMUQ.
  • 2022; Advisor of the Year, TAMUQ Flow Assurance Student Club, TAMUQ.
  • 2019; Aggie Achievement Award (Excellence), Texas A&M University at Qatar.
  • 2018; 3-D Challenge Competition, Visualization, 2nd place, Texas A&M University at Qatar.