People

Lead Researchers

Director

Dr Owais Ahmed Malik

Assistant Professor in Mathematical and Computing Sciences department at Faculty of Science, Universiti Brunei Darussalam (UBD). He completed his PhD in Computer Science from Universiti Brunei Darussalam (2015), MS in Computer Science from KFUPM, Saudi Arabia (2002) and BE is Computer Systems Engineering from NED, Pakistan (1998). Dr Owais has more than ten years of progressive experience in academia and research in the field of computer science and engineering. He has been teaching various undergraduate courses including machine learning, data mining, machine perception, programming fundamentals, design and analysis of algorithms, software engineering and operating system in different national/international universities. His research interest includes designing and exploring different intelligent/pattern recognition algorithms for the analysis and classification of biodiversity and Cyber-security data, applied biomechanics, bio-signal processing and big data analytics. He has published a number of articles in internationally reputable journals and conferences.

Research interests:

Machine Learning, Data Mining, Computer Vision/Image Processing, Deep Learning, Fuzzy Logic, Knowledge Based Systems, Intelligent Decision Support Systems for Rehabilitation Monitoring, Big Data Analytic, Wireless Body Area Network, Biosignal Processing and Analysis, Applied Biomechanics


Assistant Professor

Dr Shariq Bashir

Shariq Bashir is an assistant professor of big data and machine learning at Institute of Applied Data Analytics (IADA), Universiti Brunei Darussalam (UBD). Previously he was associate professor of computer science at Foundation University Islamabad, Pakistan. In different times of his academic carrier he has worked with the University of Nizwa (Oman), Imam Muhammad Ibn Saud Islamic University (KSA), Capital University of Science & Technology (Pakistan), New York University Abu Dhabi(UAE), Bahria University Islamabad (Pakistan), National University of Computer and Emerging Sciences (Pakistan) and Vienna University of Technology (Austria). In 2013, he was postdoctoral researcher with the New York University Abu Dhabi. From 2007 to 2011, he was research assistant and PhD candidate at Information Management and Preservation Group (IMP) at Vienna University of Technology. During his PhD research he worked closely with Information Retrieval Facility at Vienna. Dr. Andreas Rauber (a former winner of Cor-Baayen Award) supervised his PhD research thesis. He has published numerous papers in refereed journals and international conferences and served as a reviewer and committee member for several major journals, conferences and workshops. His research interests cover the broad scope of data science, machine learning information retrieval and machine learning including specifically approximate frequent itemset mining, sentiment analysis, retrievability analysis, learning to rank, query expansion, and automatic analysis of retrieval models.