Hashim Moosavi is a Software Engineer in the Social Computing Group working on healthcare analytics projects. Prior to joining QCRI, he worked in Sidra Medicine, where he developed several enterprise-ready web and mobile applications like "10 Moons" maternity app & "Saffara" queuing platform for the hospital. Before that, he also created several mobile and wearable apps & frameworks at IBM Research India for enterprise that utilize Watson services.

Fahim Dalvi is a Software Engineer at QCRI. Dalvi’s research as part of the Arabic Language Technologies team is centered around the intersection of Natural Language Processing and Deep Learning, and he has worked on wide variety of problems in these fields, including machine translation, language modeling, and explainability in deep neural networks. He also spends his time converting research into practical applications, with a focus on scalable web applications, as well as mentoring and teaching deep learning at fall and summer schools.

Dr. Abdelkader Baggag is a Senior Scientist at Qatar Computing Research Institute and an Associate Professor in the ICT Division of the College of Science and Engineering, where he teaches Generative AI Foundations. Dr. Baggag is an expert in Machine Learning and holds a PhD in Computer Science from the University of Minnesota, USA. Before joining QCRI, he was at McGill University and then a tenured Associate Professor at Laval University in Canada.

Dr. Baggag worked at leading HPC research centers in the USA, e.g., CRI at Purdue, ICASE at NASA Langley Research Center in VA, and MSI in Minnesota. Dr. Baggag’s research is in AI and RL, focusing on multimodal LLMs. He has worked on AI and ML applications that include AI for wearable data analytics, traffic prediction and missing data imputation, and AI for resilient smart cities.

Mus'ab Husaini is a Senior Software Engineer at Qatar Computing Research Institute (QCRI), with over 10 years’ industry experience in the design, architecture, and development of large and small-scale software projects. He is particularly interested in designing front-end applications and developing microservice-based architecture. His work in the industry has involved legal, healthcare, cybersecurity, and social media software systems.

Ummar Abbas is a Senior Software Engineer at the Qatar Computing Research Institute (QCRI), with more than 15 years of experience in areas of software development, architecture and management. His particular interest lies in scientific research-oriented software development: machine/system control, algorithms, image processing and other software supporting high end machines such as healthcare modalities and microscopes. Most of his experience is derived from software development and leadership roles related to life-sciences and healthcare modalities. In the past four years, Abbas has developed a keen interest in the area of data science: deep learning and machine learning. He has since been engaged in this field either at work or through extra-curricular projects.

Dr. Leslie was the founding dean of the College of Public Policy (HBKU) from 2019 to 2025. Before that, he was Professor and Chancellor’s Professor at the School of Public Policy and Administration at Carleton University, Ottawa, Canada, where he continues as Chancellor’s Professor Emeritus. He is the author/editor of over 30 books on public policy and administration, has consulted with several international organizations (including the World Bank and the OECD), and serves on the Executive Committee of the International Public Policy Association. 

Dr. Heba H. Al-Siddiqi graduated from Cardiff University, UK in 2008 with a bachelor’s degree in biomedical sciences. She joined Qatar Research Leadership Programme (QRLP) in 2009. She trained at Harvard Stem Cell Institute and Department of Stem Cell and Regenerative Biology, Boston (2010-2012). Dr. Al-Siddiqi received her Doctor of Philosophy (DPhil) from the University of Oxford in 2018. Her project focused on studying the metabolism of stem cells (human induced-pluripotent stem cells) and their differentiated cardiomyocytes. Her research highlighted the importance of metabolic maturation in directed cardiac differentiation to generate an “adult-like” hiPSCs-derived cardiomyocytes.

Dr. Al-Siddiqi has joined QBRI in 2018 as a Scientist at the Diabetes Research Center. Dr. Al-Siddiqi’s current research focus is on stem cells and pancreatic cell differentiation and maturation.

Dr. Aittaleb received his PhD in Biochemistry from the University of Liege in Belgium. His dissertation was on “molecular and structural adaptations to low temperatures of psychrophilic enzymes”.
As postdoctoral fellow at Florida State University’s Institute of Molecular Biophysics, he solved the crystal structure of tRNA methylation complex and demonstrated how snoRNA assemble into snoRNP to guide specific pre-tRNA methylation.

From 2004 to 2015, Dr. Aittaleb held different positions at the University of Michigan. As Howard Hughes Medical Institute Research Associate, he applied the biomolecular fluorescent complementation (BiFC) approach to investigate histone ubiquitylation and the role of poly-glutamine ataxin-3 in neurodegenerative Ataxia disease. Then, he worked as Senior Research Scientist at the Life Sciences Institute and Department of Pharmacology, where he studied the structure and spatiotemporal dynamics of G-protein regulated RhoGEFs. He then worked, as Research Investigator at Department of Molecular, Cellular and Developmental Biology, on the regulation and trafficking of postsynaptic scaffold proteins at the neuromuscular junction.

In 2015, Dr. Aittaleb moved to University of Cincinnati’s Vontz Institute and Brain Tumor Center as Senior Scientist. He was investigating Drug resistance to EGFR therapy and survival pathways of circulating tumor cells (CTCs) in the blood of glioblastoma metastatic patients.
 

Masoomali Fatehkia is a research assistant at Qatar Computing Research Institute (QCRI). He has contributed to multiple projects, most notably post-training efforts for the Fanar Arabic LLM, as well as research on the broad area of data for development, where he has collaborated with humanitarian organizations on using social media advertising data for estimating socio-economic development indicators.  
 

Dr. Ali Ghrayeb is a professor at the College of Science and Engineering. He received his PhD in Electrical Engineering from the University of Arizona, Tucson, AZ, USA. Prior to his current position at Hamad Bin Khalifa University, he was a Professor of electrical engineering at Texas A&M University in Qatar. He has also served as a Professor in the Electrical and Computer Engineering Department at Concordia University, Montreal, QC, Canada.

He has co-authored two books and published over 300 journal and conference papers. His research interests include wireless and mobile communications, visible light communications, smart grid, security, artificial intelligence, and machine learning. He served as an Instructor and co-instructor in many technical tutorials at several major IEEE conferences. He also served as the Executive Chair of the 2016 IEEE WCNC Conference.

Dr. Ali Ghrayeb is also a member of the IEEE ComSoc Conferences Council, the IEEE GITC Committee, and the IEEE WCNC Steering Committee. He served in different editorial capacities on a number of IEEE transactions journals. He currently serves on the IEEE ComSoc Awards Committee. He co-chairs the IEEE PIMRC 2025 conference. He is also a Fellow of the IEEE.