Local Collaborators

Associate Professor at The University of Jordan

Specialties :Software Engineer, Software Product Lines, Product Management, Requirements Engineering

Hamad Alsawalqah received his BS in computer information systems from the University of Jordan, Jordan, in spring 2004. He received his MA in management information systems from Amman Arab University for Graduate Studies, Jordan, in spring 2006. In summer 2008, he received his MSc in software engineering from Korea Advanced Institute of Science and Technology (KAIST). From August 2006, he was a member of the Global IT Technology program at KAIST until August 2008. He received his PhD in information and communications engineering, software engineering, from KAIST in 2014. Dr Alsawalqah is currently an associate professor in the Department of Computer Information Systems at the University of Jordan. His research interests are in software product lines, product management, project management, and software fault prediction.

Associate Professor at Princess Sumaya University for Technology

Nailah Al-Madi received her PhD degree in Computer Science from North Dakota State University, USA, in 2014 with GPA 4.00/4.00. During her PhD study, she worked as a research assistant, and got two awards (Doctoral Dissertation award, and being selected as one of the top 10% students to join Phi Kappa Phi Society). She earned her M.Sc. degree in Computer Science from Jordan University of Science and Technology, Jordan, in 2009. Her MSc thesis was titled "Chain Based Distributed Routing Algorithms For Wireless Sensor Networks". She received her B.Sc. degree in Computer Information Systems from Al al-Bayt University, Jordan, in 2005, and was ranked first. Before getting her PhD, she worked as a lecturer in University of Jordan and Middle East University (Amman) for about 2 years. She is currently working as an Associate Professor in Princess Sumaya University for Technology, Jordan. Her research interests include: Optimization and Evolutionary Computation, Data Mining, Big Data, MapReduce and Hadoop Framework, Robotics, and Wireless Sensor Networks.