primary
الدكتور موفق حوسة
أستاذ دكتور
المؤهلات العلمية
PhD; Faculty of Human and Social Development - Health Information Science
الكيان
كلية العلوم والهندسة
القسم
قسم تكنولوجيا المعلومات والحوسبة
السيرة الذاتية
Dr. Mowafa Said Househ (موفق سعيد حوسة), PhD, is a researcher, innovator, social entrepreneur, teacher, and author of health informatics in the Arab World affiliated with Hamad Bin Khalifa University, College of Science and Engineering, Qatar Foundation, Qatar. His primary research interests are around the use of information and communication technologies to empower patients and clinicians, specifically focusing on Social Media and Mobile Technologies in Healthcare in the promotion of public health practice and healthcare literacy.
Dr. Househ is also an adjunct Associate Professor at the University of Victoria School of Health Information Science, Victoria, BC, Canada.
Dr. Househ has received several awards locally and internationally within the field of health informatics recognizing his research and entrepreneurship efforts which include: Researcher Award, King Abdullah International Medical Research Centre, 2015; MBC Hope Awards for Innovation and Social Entrepreneurship in 2015; Finalist for the Massachusetts Institute of Technology Arab Enterprise Forum competition, 2014; Young Researcher Award, King Abdullah International Medical Research Centre, 2010; Northern British Columbia Healthcare in Technology Award, Canada, 2007; The Michael Smith Foundation for Health Research Trainee Award, Canada, 2003.
Dr. Househ has published over 130 research articles and over 6 books in the field of health informatics.
PhD; Faculty of Human and Social Development - Health Information Science
University of Victoria (Victoria/Canada)
2009
- Public health informatics
- Population health informatics
- Social computing
- Mobile health
- Consumer health informatics
Assistant/Associate Professor
School of Health Information Science; University of Victoria; (Victoria\Canada)
2014/Ongoing
Assistant/Associate Professor
College of Public Health and Health Informatics; King Saud bin Abdulaziz University for Health Sciences; (Riyadh, Saudi Arabia)
2009/2018
Academic Visiting Researcher
Nuffield Department of Medicine, Center for Tropical Medicine and Global Health; University of Oxford; (Headington, Oxford)
2015/2015
Planning and Research Analyst
Northern Health Authority; (Prince George, Canada)
2006/2009
Balancing Between Privacy and Patient Needs for Health Information in the Age of Participatory Health and Social Media: A Scoping Review. Yearbook of medical informatics.
Househ M. Building a cloud-based data sharing model for the Saudi national registry for implantable medical devices: Results of a readiness assessment; International journal of medical informatics
Middle East and North African Health Informatics Association (MENAHIA): Building Sustainable Collaboration. Yearbook of medical informatics.
The prevalence and usage of mobile health applications among mental health patients in Saudi Arabia. Computer methods and programs in biomedicine.
Impact of Twitter intensity, time, and location on message lapse of bluebird's pursuit of fleas in Madagascar. Journal of infection and public health.
A cross-sectional content analysis of Android applications for asthma. Health informatics journal
Sharing sensitive health information through social media in the Arab world. International Journal for Quality in Health Care
Health information sharing on Facebook: An exploratory study on diabetes mellitus. Journal of infection and public health
Ethical issues of social media usage in healthcare. Yearbook of medical informatics, 24(01)
Association of online health information–seeking behavior and self-care activities among type 2 diabetic patients in Saudi Arabia. Journal of medical Internet research
Empowering patients through social media: the benefits and challenges. Health informatics journal
Pubmed Profile: https://www.ncbi.nlm.nih.gov/pubmed/?term=househ+m
Google Scholar Profile: https://scholar.google.com/citations?user=iDtawK4AAAAJ&hl=en
- 2003 PhD Trainee Award; Michael Smith Foundation for Health Research; (Vancouver/ Canada)
- 2006 Michael Miller Scholarship; University of Victoria; (Victoria/Canada)
- 2007 Technology in Healthcare Award; A Healthier You Expo; (Prince George/Canada)
- 2007 Top Innovator; Health Employers Association of BC; (Vancouver/Canada)
- 2008 Canadian Agency for Drugs and Technology in Health; Best Poster Award; (Ottawa/Canada)
- 2010 Young Research Award; King Abdullah International Medical Research Center; (Riyadh, Saudi Arabia)
- 2014 Teaching Award; College of Public Health and Health Informatics, King Saud Bin Abdulaziz University for Health Sciences; (Riyadh, Saudi Arabia).
- 2014 Top 10 Projects; Massachusetts Institute of Technology (MIT) Arab Enterprise Forum Startup Competition; (Cairo, Egypt)
- 2014 Second Place Winners of the National Saudi Healthcare Innovation Award; Saudi Ministry of Health; (Riyadh, Saudi Arabia).
- 2014 The IMIA Social Media Working Group Award; International Medical Informatics Association; Heidelberg, Germany.
- 2015 MBC Hope - Social Entrepreneurship Award; Middle East Broadcasting Corporation (MBC) Association with the United Nations Volunteer Program; (Dubai, United Arab Emirates).
- 2016 Researcher Award; King Abdullah International Medical Research Center; (Riyadh, Saudi Arabia).
- 2017 Distinguished Arab Scholar Award; Arab Fund for Economic and Social Development; (Kuwait City, Kuwait).

عبد السلام بوزردوم
أستاذ ونائب وكيل الجامعة للشؤون الأكاديمية
البريد الإلكتروني
abouzerdoum@hbku.edu.qaالهاتف
+974 44548 006موقع المكتب
HBKU Head Quarters, Ground Floor
عبد السلام بوزردوم
أستاذ ونائب وكيل الجامعة للشؤون الأكاديمية
المؤهلات العلمية
Ph.D, Electrical Engineering
MSc in Electrical Engineering
الكيان
كلية العلوم والهندسة
السيرة الذاتية
Abdesselam Bouzerdoum (M’89–SM’03 IEEE) graduated with MSEE and Ph.D. degrees from the University of Washington, Seattle, USA. In 1991, he joined Adelaide University, South Australian, and from 1998 to 2004 he was an Associate Professor with Edith Cowan University, Perth, Western Australia. In September 2004, he was appointed Professor of Computer Engineering and Head of School of Electrical, Computer & Telecommunications Engineering at the University of Wollongong. From 2007 to 2013, he served as Associate Dean (Research), Faculty of Informatics. Since March 2017, he has also been a Professor with Hamad Bin Khalifa University (HBKU), Qatar. Dr. Bouzerdoum held several Visiting Professor Appointments at Institut Galilée, Université Paris-13, LAAS/CNRS, Toulouse, France, Villanova University, USA, and the Hong Kong University of Science and Technology. From 2009 to 2011, he was a member of the ARC College of Experts and Deputy Chair of the EMI panel (2010–2011).
Dr. Bouzerdoum is the recipient of the Eureka Prize for Outstanding Science in Support of Defence or National Security (2011), the Chester Sall Award of IEEE Trans. Consumer Electronics (2005), and a Distinguished Researcher Award (Chercheur de Haut Niveau) from the French Ministry (2001). He served as Associate Editor for 5 International journals, including IEEE TRANS. IMAGE PROCESSEING, IEEE TRANS. SYSTEMS, MAN, AND CYBERNETICS (1999–2006). He has published over 350 technical articles and graduated over 30 Ph.D. and Research Masters students. His research interest include radar imaging and signal processing, image processing, vision, machine learning, and pattern recognition.
Ph.D, Electrical Engineering
University of Washington, Seattle, USA
1991
MSc in Electrical Engineering
University of Washington, Seattle, USA
1986
- Signal and Image Processing
- Machine Learning
- Radar Imaging
- Vision and Visual Processing
Professor
CSE, Hamad Bin Khalifa University, Qatar
March 2017 to present
Senior Professor of Computer Engineering
Univ. of Wollongong, Australia
Jan. 2015 to present
Professor of Computer Engineering
Univ. of Wollongong (UOW)
Sep. 2004 – Dec. 2014
Associate Dean (Research)
Faculty of Informatics, UOW, Australia
Jan. 2007 – 2013
Head of School, Electrical
School of Computer & Telecommunications Engineering, University of Wollongong, Australia
Sep. 2004 – Dec. 2006
Associate Professor
Edith Cowan University, Australia
Jan. 1998 – Sep. 2004
Director of the Centre for Very High Speed Microelectronic Systems
Jan. 2004 – Sep. 2004
Deputy Director, Centre for Very High Speed Microelectronic Systems
Jan. 1999 – 2003
Senior Assistant Professor
University of Adelaide, Adelaide, Australia
Jan. 1995 – Dec. 1997
Assistant Professor
University of Adelaide, Adelaide, Australia
Jun. 1992 – Dec. 1994
Research Associate
University of Adelaide, Adelaide, Australia
July 1991 – May 1992
Research Assistant
University of Washington, Seattle, USA
1985–1991
Continuous wave Doppler radar for human gait classification,” in Radar for Indoor Monitoring, M. G. Amin (Ed.), pp. 95–119, CRC Press, Boca Raton, FL,
Hardware/software co-design for a gender recognition embedded system,” in Trends in Applied Knowledge-Based Systems and Data Science, H. Fujita et al. (Eds.), LNCS Vol. 9799, pp. 541–552, Springer Intern. Publishing,
Compressive Sensing for Multi-Polarization Through Wall Radar Imaging,” in Compressive Sensing for Urban Radar, M. G. Amin (Ed.), pp. 231–250, CRC Press, Boca Raton, FL,
Learning pattern classification tasks with imbalanced data sets,” in Pattern Recognition, P. Y. Yin (Ed.), pp. 193–208, IN-TECH Publishing,
GPR target detection by joint sparse and low-rank matrix decompositions,” IEEE Trans. Geoscience and Remote Sensing (TGRS).
Stochastic variational hierarchical mixture of sparse Gaussian processes for regression,” Machine Learning, Vol. 107, No. 7, pp. 1947–1986, Dec. 2018
Customer reward-based demand response program to improve demand elasticity and minimise financial risk during price spikes,” IET Generation, Transmission and Distribution, Vol. 12, No. 15, pp. 3764–3771, July 2018
Characterization of voltage dips and swells in a DG embedded distribution network during and subsequent to islanding process and grid re-connection,” IEEE Transactions on Industry Applications. Vol. 54, No. 5, pp. 4028–4038, September/October 2018
A super descriptor tensor decomposition for dynamic scene recognition,” IEEE Transactions on Circuits and Systems for Video Technology, 2018. DOI: 10.1109/TCSVT.2018.2825784
Efficient cost aggregation for feature-vector-based wide-baseline stereo matching,” EURASIP Journal on Image and Video Processing, Vol. 24, pp. 1–16, April 2018 (Available online at https://rdcu.be/Ljj4).
Multipolarization through-wall radar imaging using low-rank and jointly-sparse representations,” IEEE Trans. Image Processing, Vol. 27, No. 4, pp. 1763–1776, April 2018
Short-term electricity demand forecasting using autoregressive based time varying model incorporating representative data adjustment,” Applied Energy, Vol. 205, pp. 790–801, Nov. 1, 2017
Evaluating the effectiveness of a machine learning approach based on response time and reliability for islanding detection of distributed generation,” IET Renewable Power Generation, Vol. 11, No. 11, pp. 1392–1400, September 2017
A sparse Bayesian learning approach for through-wall radar imaging of stationary targets,” IEEE Trans. Aerospace and Electronic Systems (TAES). Vol. 53, No. 5, pp. 2485–2501,
Convolutional Neural Network Acceleration with Hardware/Software Co-Design,” Applied Intelligence, pp. 1–14, Aug. 2, 2017 (Available online at http://rdcu.be/uGXG).
Pedestrian lane detection in unstructured scenes for assistive navigation,” Computer Vision and Image Understanding, Vol. 149, pp. 186–196,
Visual Descriptors for Scene Categorization: Experimental Evaluation,” Artificial Intelligence Review, vol. 45, No. 3, pp. 333–368,
Classification of Micro-Doppler Signatures of Human Motions using Log-Gabor Filters,” IET Radar, Sonar & Navigation, Vol. 9, No. 9, pp. 1188–1195,
Characterizing voltage sags and swells using three-phase voltage ellipse parameters,” IEEE Trans. Industry Applications, Vol. 51, No. 4, pp. 2780–2790
A new approach for classification and characterization of voltage dips and swells using 3D polarization ellipse parameters,” IEEE Transactions on Power Delivery, Vol. 30, No. 3, pp. 1344–1353, June 2015
A subspace projection approach for wall clutter mitigation in through-the-wall radar imaging," IEEE Trans. Geoscience and Remote Sensing (TGRS), Vol. 53, No. 4, pp. 2108–2122,
Signal Classification for Ground Penetrating Radar Using Sparse Kernel Feature Selection," IEEE J. Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, No. 12, pp. 4670–4680,
A multi-feature based approach for islanding detection of DG in subcritical region of vector surge relays," IEEE Transactions on Power Delivery, Vol. 29, No. 5, pp. 2349–2358,
Object segmentation and classification using 3-D range camera," J. Visual Communication and Image Representation, Vol. 25, pp. 74–85,
An Approach for Assessing the Effectiveness of Multiple Features Based SVM Method for Islanding Detection of Distributed Generation," IEEE Transactions on Industry Applications, Vol. 50, No. 4, pp. 2844–2852,
Probabilistic fuzzy image fusion approach for radar through wall sensing," IEEE Trans. Image Processing, Vol. 22, No. 12, pp. 4938–4951, Dec. 2013
A survey of perceptual image processing methods," Signal Processing: Image Communication, Vol. 28, No. 8, pp. 811–831, Sep. 2013
Sparse representation of GPR traces with application to signal classification," IEEE Trans. Geoscience & Remote Sensing (TGRS), Vol. 51, No. 7, pp. 3922–3930,
Image segmentations for Through-the-Wall Radar target detection," IEEE Trans. Aerospace and Electronic Systems (TAES), Vol. 49, No. 3, pp. 1869–1896, July 2013
Two-stage fuzzy fusion with applications to Through-the-Wall Radar imaging," IEEE Geoscience and Remote Sensing Letters, Vol. 10, No. 4, pp. 687–691, July 2013
Two-stage Through-the-Wall Radar image formation using compressive sensing," Journal of Electronic Imaging (JEI), Vol. 22, No. 2, pp. 1–10,
Pooling-based Feature Extraction and Coarse-to-fine Patch Matching for Optical Flow Estimation,” Proc. 14th Asian Conference on Computer Vision (ACCV), December 2–6, 2018, Perth, WA, Australia..
Human Gait Recognition with Micro-Doppler Radar and Deep Autoencoder," Proc. Inter. Conf. Pattern Recognition, August 20–24, 2018, Beijing, China..
Scalable hierarchical mixture of Gaussian processes for pattern classification,” Proc. 2018 IEEE International Conf. Acoustics, Speech and Signal Processing (ICASSP 2018), April 15–20, 2018, Calgary, Alberta, Canada. April 15–20, 2018
A matrix completion approach for wall-clutter mitigation in compressive radar imaging of indoor targets,” Proc. 2018 IEEE International Conf. Acoustics, Speech and Signal Processing (ICASSP 2018), April 15–20, 2018, Calgary, Alberta, Canada. April 15–20, 2018
Human motion classification with micro-Doppler radar and Bayesian-optimized convolutional neural networks,” Proc. 2018 IEEE International Conf. Acoustics, Speech and Signal Processing (ICASSP 2018), pp. 2961–2965, April 15–20, 2018, Calgary, Alberta, Canada. April 15–20, 2018
Anatomy-Guided inverse-gradient susceptibility artefact correction method for high-resolution FMRI,” Proc. 2018 IEEE International Conf. Acoustics, Speech and Signal Processing (ICASSP 2018), pp. 786–790, April 15–20, 2018, Calgary, Alberta, Canada. April 15–20, 2018
Joint Low-Rank and Sparse based Image Reconstruction for Through-the-Wall Radar Imaging," Proc. 2017 IEEE Inter. Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP-2017), pp. 572–576, Dec. 10–13, 2017, Curaçao, Dutch Antilles. Dec. 10–13, 2017
Wall clutter mitigation for radar imaging of indoor targets: a matrix completion approach,” Proc. 2017 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES), pp. 116–121, Nov. 15–17, 2017, Hanoi, Vietnam. Nov. 15–17, 2017
Characterization of voltage dips and swells in a DG embedded distribution network during and subsequent to islanding process and grid re-connection,” Proc. 2017 IEEE Industry Applications Society Annual Meeting, pp. 1–9, Oct. 1–5, 2017
An efficient local method for stereo matching using Daisy features,” Proc. 2017 IEEE Inter. Conf. Image Processing (ICIP-2017), pp. 2503–2507. September 17–20, 2017, Beijing, China. September 17–20, 2017,
A low-rank and jointly-sparse approach for multipolarization through-wall radar imaging,” Proc. 2017 IEEE Radar Conference (Radarcon 2017), pp. 263–268. May 8–12, 2017, Seattle, WA, USA. May 8–12, 2017
GPR signal classification with low-rank and convolutional sparse coding representation,” Proc. 2017 IEEE Radar Conference (Radarcon 2017), pp. 1352–1356, May 8–12, 2017, Seattle, WA, USA. May 8–12, 2017
Through-the-wall radar signal classification using discriminative dictionary learning,” Proc. 42nd IEEE Inter. Conf. Acoustics, Speech and Signal Processing (ICASSP 2017), pp. 3136–3140, March 5–9, 2017, New Orleans, USA. March 5–9, 2017
Human interaction recognition using low-rank matrix approximation and super descriptor tensor decomposition,” Proc. 42nd IEEE Inter. Conf. Acoustics, Speech and Signal Processing (ICASSP 2017), pp. 1847–1851, March 5–9, 2017, New Orleans, USA. March 5–9, 2017
Enhanced pixel-wise voting for image vanishing point detection for road scenes,” Proc. 42nd IEEE Inter. Conf. Acoustics, Speech and Signal Processing (ICASSP 2017), pp. 1852–1856, March 5–9, 2017, New Orleans, USA. March 5–9, 2017
Characterization of Voltage Sag Based on Point-on-Wave.” Proc. 9th Intern. Conf. Electrical and Computer Engineering (ICECE 2016), pp. 259–262, December 20–22,
Efficient vanishing point estimation for unstructured road scenes,” Proc. International Conference on Digital Image Computing: Techniques and Applications, (DICTA 2016), pp. 1–6, Nov. 30 – Dec. 2, 2016, Gold Coast, Qld, Australia.
Intra-hour and Hourly Demand Forecasting using Selective Order Autoregressive Model,” Proc. 2016 IEEE Intern. Conf. Power System Technology (POWERCON), pp. 1–6, Sep. 28 – Oct. 1, 2016, Wollongong, Australia.
Indoor scene reconstruction for through-the-wall radar imaging using low-rank and sparsity constraints,” Proceedings of 2016 IEEE Radar Conference (Radarcon 2016), pp. 1–4, May 2–6, 2016, Philadelphia, PA, USA.
Target detection in GPR data using joint low-rank and sparsity constraints,” Proc. SPIE Radar Sensor Technology XX, Vol. 9829, April 17–21, 2016, Baltimore, Maryland, USA.
Variational inference for infinite mixtures of sparse Gaussian processes through KL-correction,” Proc. IEEE Inter. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2016), pp. 2579–2583, March 20–25, 2016, Shanghai, China.
Radar imaging of stationary indoor targets using joint low-rank and sparsity constraints,” Proc. IEEE Inter. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2016), pp. 1412–1416, March 20–25, 2016, Shanghai, China. (Best Student Paper Award)
Invariant image recognition under projective deformations: an image normalization approach,” Proc. IEEE Inter. Conf. Visual Communications and Image Processing (VCIP-2015), December 13–16, 2015, Singapore.
Violent scene detection using a super descriptor tensor decomposition,” Proc. Inter. Conf. Digital Image Computing: Techniques and Applications, (DICTA 2015), November 23–27, 2015, Adelaide, SA, Australia.
Video classification based on spatial gradient and optical flow descriptors,” Proc. Inter. Conf. Digital Image Computing: Techniques and Applications, (DICTA 2015), November 23–27, 2015, Adelaide, SA, Australia.
Wall clutter mitigation using HOSVD in through-the-wall radar imaging with compressed sensing,” Proc. 20th Inter. Conference on Digital Signal Processing (DSP-2015), pp. 85–89, July 21–24, 2015, Singapore.
Depth image super-resolution using internal and external information,” Proc. IEEE International Conf. on Acoustics, Speech and Signal Processing (ICASSP 2015), pp. 1206– 1210, April 19–24, 2015, Brisbane, Australia.
Multi-view indoor scene reconstruction from compressed through-the-wall radar measurements using a joint Bayesian sparse representation," Proc. IEEE Inter. Conf. Acoustics, Speech and Signal Processing (ICASSP 2015), pp. 2419–2423, April 19–24, 2015, Brisbane, Australia.
A tensor-based subspace wall clutter mitigation method for through-the-wall radar imaging," Proc. IEEE Inter. Conf. Acoustics, Speech and Signal Processing (ICASSP 2015), pp. 2449–2453, April 19–24, 2015, Brisbane, Australia.
Multi-view TWRI scene reconstruction using a joint Bayesian sparse approximation model," Proc. SPIE Compressive Sensing IV, Vol. 9484, 20–24 April 2015 Baltimore, Maryland, USA.
crowd behavior recognition using dense trajectories," Proc. Inter. Conf. Digital Image Computing: Techniques and Applications, (DICTA 2014), pp. 248–254, November 25–27, 2014, Wollongong, NSW, Australia.
Pedestrian lane detection in unstructured environments for assistive navigation,” Proc. Inter. Conf. Digital Image Computing: Techniques and Applications, (DICTA 2014), pp. 146–153, Nov. 25–27, 2014, Wollongong, NSW, Australia. (Best Recognition Paper Prize).
Affine-invariant scene categorization,” Proc. IEEE Inter. Conference on Image Processing (ICIP-2014), pp. 1031–1035, October 27–30, 2014, Paris, France.
Lane detection in unstructured environments for autonomous navigation systems,” Proc. 12th Asian Conf. Computer Vision (ACCV2014), Nov. 1–5, Singapore.
Multi-polarization through-the-wall radar imaging using joint Bayesian compressed sensing,” Proc. 19th Inter. Conference on Digital Signal Processing (DSP-2014), pp. 783–788, August 20–23, 2014, Hong Kong.
Multi-stage compressed sensing and wall clutter mitigation for through-the-wall radar image formation,” Proc. IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM-2014), pp. 489–492, June 22–25, 2014, A Coruña, Spain.
Enhanced wall clutter mitigation for compressed through-the-wall radar imaging using joint Bayesian sparse signal recovery,” Proc. IEEE Inter. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2014), pp. 7824–7828, May 4–9, 2014, Florence, Italy.
Depth image super-resolution using multi-dictionary sparse representation,” Proc. IEEE International Conference on Image Processing (ICIP-2013), pp. 957–961, September 15–18, 2013, Melbourne, Australia.
An Improved SVD-based Wall Clutter Mitigation Method for Through-the-Wall Radar Imaging,” Proc. 14th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 425–429, June 16–19, 2013, Darmstadt, Germany.
A Compressed Sensing Method for Complex-valued Signals with Application to Through-the-Wall Radar Imaging,” Proc. IEEE Inter. Conf. Acoustics, Speech and Signal Processing (ICASSP 2013), pp. 2144–2148, May 26–31, 2013, Vancouver, Canada.
Enhanced through-the-wall radar imaging using Bayesian compressive sensing,” Proc. SPIE Compressive Sensing II, Vol. 8717, Article 7170I, pp. 1–12, 2013, Baltimore, Maryland, USA.
An image-based approach for classification of human micro-doppler radar signatures,” Proc. SPIE Active and Passive Signatures IV, Vol. 8734, Article 873406, pp. 1–12, 2013, Baltimore, Maryland, USA.
- Eureka Prize for Outstanding Science in Support of Defence or National Security (2011)
- The 2004 Chester Sall Award, best paper in IEEE Trans. Consumer Electronic
- 3 student Best paper Awards
- Awarded 15 ARC grants: 6 Discovery Projects, 2 ARC Large Grants, 1 ARC Collaborative Project, 1 Intern. Linkages, 2 ARC Networks, and 3 ARC Small grants
- Highly Commended Supervisor for the 2012 Canon Extreme Imaging Award
- Distinguished Researcher Fellowship (Chercheur de Haut Niveau), French Ministry of Higher Education and Research, 2001
- Two Awards for Excellence in Research Leadership (2000 and 2002)
- Three Awards for Excellence in Postgraduate Supervision (2000, 2002 and 2003)
- Two Vice Chancellor Distinguished Researcher Awards (1998 and 1999)
- Fellowship to attend CACS'92 summer school, Aix-en-Provence, France
- Led the development of a world-first smart micro-sensor for motion Detection
- Supervisor of Best undergraduate Honours thesis in 1995
- CNS Fellowship, Boston University, 1990.

الدكتور مصطفي عويدة
عالم أول ومدير مختبر
الدكتور مصطفي عويدة
عالم أول ومدير مختبر
المؤهلات العلمية
PhD in Biology (Molecular and Cell Biology)
Master Degree in Microbiology
الكيان
كلية العلوم الصحية والحيوية
السيرة الذاتية
Dr. Mustapha Aouida received his PhD in Molecular and Cell Biology in 2003 from both the Science University of Tunis and Gustave Roussy Institute, Paris. For his post-doctoral fellowship he joined Professor Ramotar at Maisonneuve-Rosemont Research Institute in Montreal where he studied the mechanism by which yeast cells and mammalian cells become resistant to the antitumor drug bleomycin. Dr. Aouida joined the College of Health and Life Sciences in April 2016 as a Lab Manager and is currently a Research Scientist at the college.
PhD in Biology (Molecular and Cell Biology)
Gustave Roussy Institute, Paris (France); Science University Of Tunis, Tunisia
2003
Master Degree in Microbiology
Science University Of Tunis, Tunisia
1999
Bachelor in Natural Sciences
Bachelor in Natural Sciences
1997
High School diploma in Science
Technical High School Zarzis, Tunisia
1993
- Genome engineering
- CRISPR
- Molecular and cell biology
- Genomics
Senior Laboratory Manager
College of Science and Engineering, Hamad Bin Khalifa University
2024 - Present
Laboratory Manager
College of Science and Engineering, Hamad Bin Khalifa University
2016 - 2024
Research Scientist
Genome Engineering Laboratory, King Abdullah of Science and Technology
2010 - 2015
Postdoctoral Research Scientist
Maisonneuve Research Center, University of Montreal
2003 - 2010
Complete Publication Listing(s): PubMed | Google Scholar
- 2005-2008 Post PhD fellowship from National Cancer Institute of Canada
- 2003-2005 Scholarship from Maisonneuve-Rosemont Foundation, Montreal (University of Montreal)
- 1999-2003 Scholarship from Tunisian Government and second scholarship from CNRS-France
- 1993-1999 Scholarship from Tunisian Government
الدكتور فيشنوبالجي رادكريشنان
باحث ما بعد الدكتوراه
الكيان
معهد قطر لبحوث الطب الحيوي
القسم
مركز البحوث التطبيقية للسرطان
السيرة الذاتية
Dr. Vishnubalaji Radhakrishnan earned his Master’s degree in Biochemistry and Biotechnology, and Ph.D. in Stem Cells and Regenerative Medicine from Bharathidasan University, India, and has conducted his Ph.D. research work at Southampton University, UK; Southern University, Denmark and King Saud University, Riyadh. Dr. Vishnu completed his post-doctoral work at the King Saud University, Riyadh and Southern University, Denmark. His experiences are very well accomplished in the field of stem cells and cancer biology with interdisciplinary techniques. During his postdoctoral training, he studied on novel biomarker discovery and targeted therapeutics for breast and colorectal cancers together with cancer stem cells and also investigated the novel epigenetic compounds that regulate the bone forming potential of human mesenchymal stem cells. He has published more than 20 articles in top-tier ISI-indexed journals.
Dr. Vishnubalaji Radhakrishnan, has joined as a Postdoc at the Translational Oncology Research Center, reporting to Dr. Nehad Alajez. His office is located in the RDC, office no 1330; you can reach him on: vbradhakrishnan@hbku.edu.qa

الدكتور غابرييل أوليجيري
استاذ مشارك
البريد الإلكتروني
goligeri@hbku.edu.qaالهاتف
+974 445 40458موقع المكتب
A161-B, First Floor, LAS building
الدكتور غابرييل أوليجيري
استاذ مشارك
المؤهلات العلمية
PhD in Computer Engineering
MSc in Computer Engineering
الكيان
كلية العلوم والهندسة
القسم
قسم تكنولوجيا المعلومات والحوسبة
السيرة الذاتية
Dr. Gabriele Oligeri is an Associate Professor at College of Science and Engineering. Before joining Hamad Bin Khalifa University, he was an assistant research professor at KINDI Center for Computing Research at Qatar University. He received his M.Sc and PhD degrees in Computer Engineering from the University of Pisa. He spent about 6 years at the Italian National Research Council (CNR), 1 year at the University of California (UCI), 2 years at the University of Trento (IT), and 2 years at the University of Roma Tre (IT).
PhD in Computer Engineering
University of Pisa, Italy
2007
MSc in Computer Engineering
University of Pisa, Italy
2005
- Signals intelligence
Associate Professor
College of Science and Engineering, Hamad Bin Khalifa University
2022 - Present
Assistant Professor
College of Science and Engineering, Hamad Bin Khalifa University
2018 - 2022
Assistant Research Professor
KINDI Center for Computing Research, Qatar University
2016 - 2017
Postdoc Researcher
University of Roma Tre, Italy
2013 - 2016
Postdoc Researcher
Information Engineering and Computer Science, University of Trento, Italy
2011 - 2013
Caprolu, M., Sciancalepore, S., Grigorov, A., Kolev, V., & Oligeri, G. (2024, May 27–30). Watch nearby! Privacy analysis of the people nearby service of Telegram. The 17th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec2024), Seoul, Korea.
Oligeri, G., Sciancalepore, S., Raponi, S., & Di Pietro, R. (2023). PAST-AI: Physical-layer authentication of satellite transmitters via deep learning. IEEE Transactions on Information Forensics and Security, 18, 274–289. [Engineering/Safety, Risk, Reliability, and Quality; CiteScore: 14.4]
Oligeri, G., Sciancalepore, S., Ibrahim, O. A., & Di Pietro, R. (2022). GPS spoofing detection via crowd-sourced information for connected vehicles. Elsevier Computer Networks, 216(C). [Computer Science/Computer Networks and Communications; CiteScore: 10.8]
Raponi, S., Oligeri, G., & Ali, I. M. (2022). Sound of guns: Digital forensics of gun audio samples meets artificial intelligence. Springer Nature Multimedia Tools and Applications, 81, 30387–30412. [Engineering/Media Technology; CiteScore: 4.6]
Oligeri, G., Sciancalepore, S., Raponi, S., & Di Pietro, R. (2020, July 8–10). Brokenstrokes: On the (in)security of wireless keyboards. 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec’20), Linz, Austria.
Complete Publication Listing(s): Google Scholar
الدكتور أمين برماق
أستاذ متميز وعميد مشارك
المؤهلات العلمية
PhD in Microelectronics and Microsystems
MPhil in Microelectronics and Microsystems
الكيان
كلية العلوم والهندسة
القسم
قسم تكنولوجيا المعلومات والحوسبة
السيرة الذاتية
Prof. Amine Bermak is a Distinguished Professor and Associate Dean of the College of Science and Engineering. He received his Master's and PhD degrees in Electrical and Electronic Engineering (Microelectronics and Microsystems) from Paul Sabatier University, Toulouse, France, in 1994 and 1998, respectively.
His research can be best described as being at the crossroads between algorithmic solutions and hardware-friendly VLSI architecture for sensors, microsystems, and Artificial Intelligence applications. He has published 539 papers (230 journals, 8 book chapters, 286 conference papers, and 15 patents), mostly in top-tier venues. Prof. Bermak has delivered 26 invited keynotes and won 7 best paper awards.
He is the recipient of the Best Researcher Award at CSE in 2019, the Best Innovator Award at HBKU in 2022, the Service Excellence Award at HBKU in 2023, and the Research Excellence Award at HBKU in 2024. He is the General Chair of IEEE DELTA 2008, IEEE BioCAS 2009, and ICM 2024. He has also served on multiple editorial boards of IEEE journals. Prof. Bermak is a Fellow of IEEE and an IEEE Distinguished Lecturer. He has been the Chair of the HBKU University Senate since 2024.
PhD in Microelectronics and Microsystems
Paul Sabatier University, LAAS-CNRS, Toulouse, France
1998
MPhil in Microelectronics and Microsystems
Paul Sabatier University, LAAS-CNRS, Toulouse, France
1994
BSc in Physics and Electronics
National Polytechnics Institute of Algiers, Algeria
1993
- Integrated circuit design and VLSI Systems for signal and image processing
- CMOS Image Sensors
- Wearable and printed Electronics
- Edge Intelligence and AI Circuits and Systems
Distinguished Professor and Associate Dean
College of Science and Engineering, Hamad Bin Khalifa University
2024 – Present
Professor and Associate Dean
College of Science and Engineering, Hamad Bin Khalifa University
2015 – 2024
Assistant/Associate/ Full Professor and Associate Head
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong
2002 – 2015
Co-Director MIT-HKUST Consortium
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong
2015
Senior Lecturer
Edith Cowan University, Australia
2001 – 2002
Xia, Y., Luo, J., Yin, P., Yan, D., Zhou, X., Bermak, A., & Tang, F. (2024). Theory and low-power design of moving accumulative sign filter. IEEE Transactions on Circuits and Systems I: Regular Papers.
Awan, M. A., Ahmad, K., Bermak, A., Biswas, K. H., & Wang, B. (2024). An asynchronous CMOS current readout with 124 dB dynamic range for bioluminescence sensing. IEEE Solid-State Circuits Letters.
Cao, T., Ding, R., Gao, F., Xuan, W., Wan, Q., Luo, J., Luo, Y., Khelif, A., & Bermak, A. (2024). High electromechanical coupling factor Lamb wave resonator. Journal of Applied Physics, 136(19).
Gao, F., Benchabane, S., Bermak, A., Dong, S., & Khelif, A. (2023). On-chip tightly confined guiding and splitting of surface acoustic waves using line defects in phononic crystals. Advanced Functional Materials, 2213625.
Duan, M., Zhong, X., Wang, B., Wu, J., Khelif, A., Lee, Y. K., & Bermak, A. (2023). A highly integrated lab-on-a-CMOS platform for real-time monitoring of E. coli growth kinetics. IEEE Transactions on Biomedical Circuits and Systems.
- “Research Excellence award” at HBKU, 2024.
- “Service Excellence award”, at HBKU, 2023.
- HBKU “Best inventor award”, 2022.
- Co-author of the paper receiving the “Best paper Award” at the ICISM 2019 Conference.
- Best Faculty Researcher Award at the College of Science and Engineering, Hamad Bin Khalifa University, Qatar, 2018.

الدكتورة أريج غسان مصلح
باحث ما بعد الدكتوراه
الدكتورة أريج غسان مصلح
باحث ما بعد الدكتوراه
المؤهلات العلمية
PhD in Genomics and Precision Medicine
MSc in Genomics and Precision Medicine
الكيان
معهد قطر لبحوث الطب الحيوي
القسم
مركز بحوث الاضطرابات العصبية
السيرة الذاتية
Areej Mesleh is a Postdoctoral Researcher with expertise in neurodegenerative and neurodevelopmental disorders. She graduated with distinction from Qatar University in 2017 and completed her master’s degree in 2019 at Hamad Bin Khalifa University, where she investigated neuroinflammation in Parkinson's disease. Mesleh earned her PhD in 2023, focusing on proteomics in autism spectrum disorder. She is currently working on developing conformation-specific nanobodies against alpha-synuclein as a potential diagnostic and therapeutic tool for Parkinson's disease.
PhD in Genomics and Precision Medicine
Hamad Bin Khalifa University
2023
MSc in Genomics and Precision Medicine
Hamad Bin Khalifa University
2019
BSc in Biomedical Science
Qatar University
2017
- Multi-OMICS; Proteomics
- Neurodegenerative disorders
- Neurodevelopmental disorders
- Immunology
Postdoctoral Researcher
Qatar Biomedical Research Institute, Hamad Bin Khalifa University
2024 - Present
- Graduated with distinction from QU
- GSRA award for postgraduate studies

الدكتورة عبير الشمري
عالم
أستاذ مساعد
الدكتورة عبير الشمري
عالم
أستاذ مساعد
المؤهلات العلمية
PhD in Biomedical Sciences
MRes in Biosciences
الكيان
معهد قطر لبحوث الطب الحيوي
كلية العلوم الصحية والحيوية
القسم
مركز بحوث الاضطرابات العصبية
السيرة الذاتية
Dr. Abeer Al-Shammari is a Scientist at the Neurological Disorders Research Center of the Qatar Biomedical Research Institute. She was awarded a PhD in Biomedical Sciences from the University of Oxford in the U.K. In 2019, she received the Education Excellence Award under the patronage of His Highness the Emir of Qatar. Her research focuses on understanding the molecular mechanisms underlying neurodevelopmental disorders, including autism, with the ultimate goal of identifying potential biomarkers and developing targeted therapies.
Dr. Al-Shammari leads a dynamic research team that employs cutting-edge techniques, including immunological assays, stem cell-derived brain cells, gene editing, bioinformatic analysis of single-cell sequencing data, advanced imaging techniques, and deep learning models. Her work has been recognized with multiple research grants and awards. She actively supervises graduate students and postdoctoral fellows, fostering the next generation of scientists. With a passion for advancing scientific discovery, Dr. Al-Shammari is committed to translating her research findings into real-world applications that could improve the lives of individuals with neurodevelopmental disorders.
PhD in Biomedical Sciences
University of Oxford, United Kingdom
2017
MRes in Biosciences
Cardiff University, United Kingdom
2010
BSc in Biomedical Sciences
Cardiff University, United Kingdom
2009
- Autism
- Immunology
- Neuroscience and stem cells
- Biomarkers and therapeutics
Assistant Professor
College of Health and Life Sciences, Hamad Bin Khalifa University
2024 - Present
Scientist
Qatar Biomedical Research Institute, Hamad Bin Khalifa University
2023 - Present
Research Fellow
Qatar Biomedical Research Institute, Hamad Bin Khalifa University
2017 - 2023
Complete Publication Listing(s): Google Scholar
- June 2023 – June 2025: Lead PI, Thematic Research Grant Program – Cycle 2 (HBKU, Qatar): A precision medicine approach to investigate autism-related functions of altered blood proteins as potential targets for autism therapy.
- January 2023 – December 2025: Lead PI, Intramural Grant Program – Cycle 5 (QBRI, Qatar): Identifying cellular sources of altered cytokines in autism.
- February 2021 – February 2024: Lead PI, Early Career Researcher Award (QNRF, Qatar): Neuro-immune interactions in autism spectrum disorder.
- March 2019: Received the Education Excellence Award from the Ministry of Education and Higher Education in the PhD holders category under the patronage of His Highness Sheikh Tamim bin Hamad Al Thani, the Emir of Qatar.
- June 2016 and March 2017: Received two Letters of Recognition for outstanding academic performance from Her Excellency Sheikha Hind bint Hamad Al Thani, Vice Chairperson and CEO of the Qatar Foundation.

أنطونيو غوتيريش
أمين عام الأمم المتحدة
أنطونيو غوتيريش
أمين عام الأمم المتحدة
الكيان
Translation and Interpreting Institute (TII) AR

الدكتور محمد فرحان
أستاذ مشارك
الدكتور محمد فرحان
أستاذ مشارك
المؤهلات العلمية
PhD in Biotechnology
MSc in Biotechnology
الكيان
كلية العلوم الصحية والحيوية
السيرة الذاتية
Dr. Mohammad Farhan is an Associate Professor at the College of Health and Life Sciences at Hamad Bin Khalifa University. He leads an innovative research program focused on the genomics and epigenetics of psychiatric and neurological disorders. With a PhD in transcriptomic biomarkers of acquired epilepsy from the Institute of Genomics & Integrative Biology, Delhi, and postdoctoral training at the University of Oxford and A-STAR & Duke-NUS Medical School, he has cultivated a multidisciplinary expertise. At Hamad Bin Khalifa University, Dr. Farhan has established active collaborations with Sidra Medicine and Hamad Medical Corporation, investigating the genetics and biomarkers of mental health disorders in the Qatari population.
Dr. Farhan is a member of several scientific societies and serves as an editor for Translational Medicine Communications and Frontiers in Molecular Neuroscience. His research endeavors are supported by various grants from QNRF, MRC, and HBKU. Dr. Farhan’s research aims to unravel the molecular underpinnings of these conditions and pave the way for precision medicine approaches. Dr. Farhan's contributions to the field have been recognized through publications in high-impact journals such as Nature Methods, Neuron, Current Biology, PLOS Biology, BMC Medicine, etc. He actively engages in scientific outreach, participating in op-eds for newspapers, magazines, and TV shows, both locally and internationally.
PhD in Biotechnology
Savitribai Phule Pune University, India
2009
MSc in Biotechnology
Jamia Hamdard, India
2003
BSc Hons. in Botany
Aligarh Muslim University, India
2001
- Deciphering the genetic and epigenetic basis of Cerebral Palsy in Qatar for precision medicine strategies.
- Establishing a comprehensive precision medicine pipeline for Autism Spectrum Disorder
- spanning variant validation to multi-level phenotyping.
- Pioneering precision psychiatry through peripheral biomarker exploration and targeted therapeutics for Schizophrenia and treatment resistance.
- Leveraging Drosophila models
- in-silico approaches
- and machine learning to advance therapeutic discovery for neurological and psychiatric disorders.
Associate Professor
College of Health & Life Sciences, Hamad Bin Khalifa University
2024 - Present
Assistant Professor
College of Health & Life Sciences, Hamad Bin Khalifa University
2018 - 2024
Postdoctoral & Senior Research Fellow
Neuroscience and Behavioural Disorders, Duke-NUS Medical School, Singapore
2011 - 2018
Postdoctoral Fellow
Institute of Molecular & Cell Biology, The University of Oxford, United Kingdom
2009 - 2010
Complete Publication Listing(s): Google Scholar
- QNRF-NPRP14S: (LPI); A Precision Medicine Initiative To Target Pediatric Cerebral Palsy, A Movement Disorder. (US$ 629,557).
- QNRF-UREP28 (LPI): Exploring neuronal and non-neuronal defects associated with neurodevelopmental disorders. (US$ 10,000)
- QNRF- NPRP13S: (PI); Establishing a precision medicine platform to target colorectal cancer in preclinical models. (US$ 420,000).
- HMC-MRC-2022: (PI); Mechanisms mediating resistance to antipsychotic therapy in schizophrenia: Identifying novel therapeutic targets in the Qatari population. (US$ 100,000).
- HMC-MRC-2023: Role of Inflammatory Biomarkers in the Treatment Efficacy in Patients with Major Depressive Disorder. (US$ 100,000).
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