Aldana Al-Sulaiti is a PhD student in Computer Science and Engineering at Hamad Bin Khalifa University (HBKU). She earned her Bachelor's degree in Information Systems from Carnegie Mellon University in 2019 and her Master's degree in Cybersecurity from HBKU in 2025. Her research interest is in investigating quantum-enhanced approaches to machine learning.

Dr. Sami El-Borgi is a Professor of mechanical engineering at the College of Science and Engineering at Hamad Bin Khalifa University. His field of research spans areas of structural health monitoring, continuum mechanics, fracture and contact mechanics, nonlinear vibration, finite element analysis, metamaterials, and smart manufacturing. He has published around 120 papers in high-impact journals in addition to one US patent. Over the last two decades, he has collaborated with well-known and reputable scholars in the fields of nonlinear vibration, fracture mechanics, contact mechanics, and finite element analysis.

Professor El-Borgi has been awarded numerous research grants with funding provided by the Tunisian Ministry of Higher Education, the Qatar National Research Fund, the U.S. National Science Foundation, the U.S. State Department, and the European Commission. In collaboration with Virginia Tech in 2003, he introduced a Master’s program in Computational Mechanics and a PhD program in Applied Mechanics at Tunisia Polytechnic School, University of Carthage, Tunisia. Prof. El-Borgi also serves as a reviewer for more than 60 international journals and is a member of the editorial board of a few engineering journals. In recognition of his services to the higher education sector, the Republic of Tunisia awarded him the Presidential Order of Merit of Education in 2008.

Dr. Mohammed R. Shaker is a Scientist at the Neurological Disorders Research Center, Qatar Biomedical Research Institute (QBRI) at Hamad Bin Khalifa University. He earned his PhD in Neuroscience from Korea University, Seoul, in 2017, and was subsequently awarded the prestigious Brain Korea 21 Plus Fellowship. He then joined the Australian Institute for Bioengineering & Nanotechnology (AIBN) at The University of Queensland, where he advanced organoid models for the study of human brain and spinal cord development.

Dr. Shaker’s research integrates patient-derived induced pluripotent stem cells (iPSCs) with organoid platforms, focusing on neurological disorders, e.g. white matter diseases and neural tube defects. His work has garnered multiple national and international accolades, such as fellowships from the Children’s Hospital Foundation and the European Leukodystrophy Association. Dr. Shaker continues to explore innovative 3D culture systems and computational approaches to accelerate breakthroughs in neuroregeneration and disease modeling. His pioneering research remains at the forefront of precision medicine and translational neuroscience.

Dr. Jasni earned her BSc and MSc in General Biotechnology from the University of Calicut, India. She completed her PhD in Genomics and Precision Medicine from Hamad Bin Khalifa University, Qatar, under the supervision of Dr. Ayman Al Haj Zen. During her PhD, she characterized the functions of coronary artery disease GWAS gene candidates in the human aortic smooth muscle cell phenotype switching model of atherosclerosis.

In 2024, she joined Dr. Julie Decock’s team at QBRI as a Postdoctoral researcher. Her current research focuses on cancer-testis antigens and their role as biomarkers and therapeutic targets in Pediatric Solid Tumors.

Mahima Aggarwal is a Research Assistant at Qatar Computing Research Institute where she focuses on anticipatory humanitarian actions using AI, particularly Large Language Models (LLMs). Her work involves creating authentic datasets about natural disasters, training models, and generating scenarios for effective anticipatory actions. She is a key contributor to QarSUMO, a parallel, congestion-optimized traffic simulator built on SUMO. Her contributions include improving accuracy, dynamic rerouting, load balancing, and integrating reinforcement learning for dynamic traffic prediction and network repartitioning. Additionally, she contributed to adding features to an end-to-end browser-based simulation/visualization system for local stakeholders.

With a strong foundation in embedded systems and software engineering, Mahima brings over 15 years of expertise in research, development, and system design. Before her current role, Mahima worked as a research assistant at Qatar University’s KINDI Center for Computing Research, focusing on cybersecurity for next-generation healthcare systems. Her career also includes roles as a testing & commissioning engineer at Sony Professional Solutions, as well as software engineering positions at NXP (Freescale Semiconductor) and KritiKal Solutions.

Dr. Ahmed Lekssays is a Postdoctoral Researcher at Qatar Computing Research Institute. He obtained his PhD from the University of Insubria in Varese, Italy in 2022 funded by EU's Marie Skłodowska-Curie Actions, and his master’s and bachelor’s degrees from Al Akhawayn University in Ifrane, Morocco. His research interests include malware analysis, software security, and distributed systems.

Dr. Tasnim Mohiuddin is a Scientist in the Arabic Language Technologies group at Qatar Computing Research Institute (QCRI), where he works on pioneering initiatives in the development and enhancement of Large Language Models (LLMs). He is a core contributor to the creation of Fanar, QCRI's flagship LLM. His current research focuses on domain-specific LLM innovations, including specialized areas such as Code LLMs and Multimodal LLMs.

Before joining QCRI, Dr. Tasnim was a researcher at Huawei Research Center in Singapore, where he concentrated on multimodal representation learning, bridging both linguistic and visual modalities. His research contributions have been consistently recognized through publications in leading academic conferences.

Tasnim completed his doctoral studies at the School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore, receiving his PhD in June 2022 under the mentorship of Professor Shafiq Joty. His doctoral dissertation was honored with the prestigious Outstanding PhD Thesis Award, reflecting the originality and impact of his research. During his doctoral studies, he also gained valuable experience as a research intern at Meta AI Research, working under the guidance of Professor Philipp Koehn.

Mohamed Elfeky is a Principal Software Engineer at Qatar Computing Research Institute. Before joining QCRI, he was a Senior Software/Research Engineer at Google, USA. He joined Google in 2005 after receiving his PhD in Computer Science from Purdue University.

At Google, Mohamed worked on many products, including Translate, AdSpam, Transliteration, and Search Query Understanding. More recently, Mohamed joined the Google Speech Recognition team in New York where he launched the Arabic Speech Recognition Model, and later helped the team grow the number of recognized languages to over 100. Mohamed has received two Founders’ awards at Google and he also has two patents under his name.

Basel Mousi is a Research Assistant at the Qatar Computing Research Institute (QCRI), specializing in natural language processing. His research interests include the interpretability of deep language models and machine translation for low-resource languages. He earned a bachelor’s degree in electrical and computer engineering with distinction from the American University of Beirut. Additionally, he has published papers in leading NLP conferences, such as EMNLP, ACL, and COLING.

Dr. Ma’moun Al-Rawashdeh is an Associate Professor in the College of Science and Engineering at Hamad Bin Khalifa University. He received his MSc (CumLaude) and PhD degrees in chemical engineering from the Eindhoven University of Technology in the Netherlands in 2013. With 7 years of industrial experience working at Jordan's Refinery, IMM Institute in Germany, and Albemarle Catalyst Company in the Netherlands. He helped commercialize three hydro-processing catalysts and led many R&D projects related to different types of reactor designs, heterogenous catalyst manufacturing, and testing.

He joined Texas A&M University at Qatar (TAMUQ) as an Assistant Professor in 2019. At TAMUQ, he established key industry partnerships, secured external research funding from industry and QNRF, built key experimental infrastructure in Qatar, published 23 peer-reviewed journal articles (37 in total), invented 3 US provisional patents, 45 scientific contributions, and has invited talks at national and international levels.

His research focuses on developing novel reactors and process technologies related to making sustainable and circular fuels and chemicals. Dr. Al-Rawashdeh is chairing and co-chairing graduate doctoral and master students, and teaches courses in chemical reaction, reactor engineering, and applied catalysis. He serves as guest editor and peer reviewer for leading journals, chairing and co-organizing AICHE international sessions, and organizes various conferences and workshops involving industry-academic-government.