Lab Director

Dr. Fatemeh Golpayegani

Fatemeh is an assistant professor within the school of Computer science, UCD. She is the head of MAS3 research group where she works with several PhD researchers and Postgrad students on various sustainable solutions for cities and rural areas.  Read More

Postdoctoral Researchers

Dr. Zakaria Sabir

Zakaria received his Ph.D. in computer science and Master’s degree in cybersecurity from the National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco. He is currently completing his research at the School of Computer Science, University College Dublin, Ireland. His research interests include connected vehicles, named data networking, security, blockchain, and intelligent transportation systems.

Dr. Saeedeh Ghanadbashi

Saeedeh is currently a Postdoctoral Research Fellow in the School of Civil Engineering at UCD working on AUGMENTED CCAM project. As a Ph.D. student in Computer Science at UCD, she focused on enhancing RL algorithms for autonomous systems operating in dynamic and partially observable environments. Her research intersects knowledge graphs, ontologies, and learning algorithms, with practical applications in areas like traffic control, edge computing, and manufacturing. Saeedeh’s work empowers autonomous agents with enhanced observation, real-time adaptability, goal selection/generation, and informed decision-making.

Ph.D Researchers

Maha Riad
Maha started her Ph.D. in the School of Computer Science at University College Dublin (Ireland) in 2020. Her research focused on Norm Emergence in Multi-Agent Systems (MAS). In her research, she explores different reasoning, learning, optimisation, and coordination techniques using intelligent transportation system, robots grid-based, and taxation scenarios. Maha graduated in 2014 with highest honors in Informatics and Computer Science from the British University in Egypt. Her degree is accredited by Loughborough University; as a result of universities partnership. Since her graduation, she obtained diverse academic and industrial experience. In parallel, she started her Master’s Degree in Web of Science at the British University in Egypt in 2015. Her master’s thesis topic was ‘Enabling Efficient Supply Chain Management using Internet-of-Things and Analytics’. Her research interests include, normative multi-agent systems, artificial intelligence, deep reinforcement learning and machine learning.

Jack Geraghty

Jack is a PhD student whose research focuses on mitigating the risks from missing modalities in multimodal decision-making systems, whether centralised or decentralised. He aims to minimise performance degradations to enable more robust and safer decision making. Jack holds a BSc in Computer Science from University College Dublin in Ireland. His research interests include multimodal learning, machine learning robustness, decision-making systems, and the performance and efficiency of computer systems.

Zahra Safavifar

Zahra Safavifar is a PhD student whose research focus is workload orchestration in edge computing. She received an MS.c. degree in Information Technology from the Sharif University of Technology, Tehran, Iran, in 2012. She has 9 years of work experience in business intelligence, data engineering and Machine learning. 

Fatemeh Bandarian

Fatemeh is a PhD researcher at University College Dublin, specializing in intelligent transportation systems, autonomous mobility, and adaptive traffic management systems. She earned her Master’s degree in Transportation Engineering from Imam Khomeini International University in 2019, where her research focused on analyzing passenger behavior in airport baggage claim areas. After graduating, she worked as a transportation engineer at a consulting firm. Her current research is dedicated to advancing the future of transportation through innovative and adaptive technologies.

Akram Zarchini

Akram Zarchini is a Ph.D. candidate at the School of Computer Science, University College Dublin. She received the MS.c degree in Computer Science from Sharif Technical University. Her areas of interest include intelligent agent-based models, reinforcement learning, smart manufacturing, and edge computing. Currently, her research project aims to study and identify the research gaps of distributed learning and federated learning to address challenges related to sustainability of additive manufacturing processes.

Alumni

Graduated Students

Dr. Saeedeh Ghanadbashi

As a Ph.D. student in Computer Science at UCD, Saeedeh focused on enhancing RL algorithms for autonomous systems operating in dynamic and partially observable environments. Her research intersects knowledge graphs, ontologies, and learning algorithms, with practical applications in areas like traffic control, edge computing, and manufacturing. Saeedeh’s work empowers autonomous agents with enhanced observation, real-time adaptability, goal selection/generation, and informed decision-making.

Zeyneddin Oz

Zeyneddin completed an MSc by Research in the MAS3 research group at UCD, focusing on model compression methods to optimize Edge AI for heterogeneous, resource-constrained, and mobile environments using Federated Learning. He is currently a Research Associate and PhD candidate in the Ubiquitous Computing group at the University of Siegen, where he works on human activity recognition and smart manufacturing applications.

Postdoctoral Researchers

Dr. Muhammad Farooq

Muhammad was a postdoctoral researcher at the School of Computer Science, UCD. His research interests included resource allocation, wireless vehicular networks, wireless security, optimization algorithms, and machine learning. He completed his PhD from UCD in 2023 with his thesis focusing on low-complexity optimization algorithms for resource allocation problems in massive MIMO networks.

Dr. Eric Gyamfi

Eric was a Postdoctoral Researcher and his research interest focused on Multi-Modal Intelligent Transport System, Security for the Internet of Things, Machine Learning, Multi-Access Mobile Edge Computing, Artificial Intelligence, and Wireless Sensor Networks.

Visiting PhD Researchers

Shadi Bashiri Mousavi

Shadi holds an M.Sc. in Mechanical Engineering with a specialization in Energy Conversion. In 2024, she joined the Department of Computer Science at University College Dublin as a PhD visiting researcher. Shadi’s research focuses on utilizing renewable energy sources to meet energy demands and designing advanced energy systems. Her studies also explore the use of hydrogen as an alternative fuel and integrate artificial intelligence to optimize the performance of energy systems. Her PhD study focuses on sustainable transportation, particularly the modeling and energy management of hydrogen-fuelled vehicles. She is also investigating the application of reinforcement learning techniques to enhance the durability and efficiency of fuel cell vehicles.