
Ruhul A Sarker obtained his PhD from Dalhousie University (former TUNS), Canada. He is a Professor in the School of Engineering and IT (SEIT) at UNSW Canberra located at ADFA. He served as the Director of Faculty PG Research (June 2015 to May 2020) and as the Deputy Head of School (Research) of SEIT (2011-2014). Prof. Sarker’s broad research interests are decision analytics, CI / evolutionary computation, operations research, and applied optimization with an emphasis on Augmenting Human Intelligence (AHI). His name appeared on the recent lists of top 2% of world's scientists-researchers prepared by (i) Stanford University and also (ii) Elsevier/Scopus/digitalcommonsdata (Research fields: Artificial Intelligence and Operations Research).
For Future Research Students: PhD scholarships ($35,000 per year) are available for high achieving students (with H1 /High Distinction in UG and Masters by Research) in Computer Science, Information Sciences, Operations Research, or Industrial Engineering under my supervision. If you are interested contact me at r.sarker@adfa.edu.au
His research activities can be found on the page: https://research.unsw.edu.au/people/professor-ruhul-sarker
Canberra Evolutionary Optimization Research - EvOpt
Linkedin: https://www.linkedin.com/in/ruhul-a-sarker-0b88b652/
Professional Development Short Courses in Operations and Decision Analysis
Master by Coursework Program: Master of Decision Analytics
Prof. Sarker has successfully obtained significant external funding (more than $3.5m) for his research that includes the Australian Research Council, Defence Science and Technology (DST) Group and Industry. Few recently funded projects:
R. Sarker and S. Elsayed (2019-21) Intelligent Algorithms for Portfolio Selection in Future Force Design, DST, $320K.
Prof. Sarker is interested in individual and industrial research collaboration, and consultancy in his areas of expertise.
ASOR Medal (2011) and Special Service Certificate (2009) awarded by Australian Society for Operations Research (ASOR).
Theoretical Research: Design and development of algorithms for solving complex decision and optimization problems. It covers computational intelligence, population-based search algorithms (such as evolutionary algorithms) as well as conventional search algorithms. The problem areas include structured (single and multi-objective optimization with or without functional constraints), semi-structured and unstructured problems.
Applied Research Areas: supply chain (design, bottleneck, shipping, and disruption recovery), mining (mine scheduling, coal mining and petroleum production planning), manufacturing (layout and location, production planning, and scheduling), agriculture (crop planning, and land allocation), power generation planning, resource-constrained project scheduling, and defence (planning, and performance evaluation).
Professional Engagement: Prof. Sarker is an editor of the Journal of Flexible Service and Manufacturing, an associate editor of the Journal of Memetic Computing, an editor of the Journal of Industrial and Management Optimization, and former editor-in-chief of ASOR Bulletin. He had led the technical committee for IEEE Congress on Evolutionary Computation in 2003 and was a proceeding co-chair of IEEE WCCI'2012.
Publications: Prof. Sarker is the lead author of the book ‘Optimization Modelling: A Practical Approach’ published by Taylor & Francis /CRC Press. He has edited /co-edited 8 books, on specialized topics in his areas of research, published by the leading publishers. He has 250+ refereed publications including 100+ journal papers. His research has received a number of international media coverage. Some of these media are: Wall Street Journal, ScienceDaily, United Press International (UPI), Times of the Internet, TerraDaily, MarketWatch, EcoEarth, Eurocean, Softpedia, Oneindia, ScienceBlog. For publication detals, visit: https://research.unsw.edu.au/people/professor-ruhul-sarker/publications
Current Research Students
Past Research Students
Keynote Speakers (selected):
Keywords: Decision Analytics, Supply chain design and redesign; Supply chain disruption recovery planning; Transportation planning; Logistics and inventory; Applied operations research; Simulation; Applied optimization; mine scheduling; Coal production planning; Oil production planning; job shop scheduling; Fleet-mix; Routing and scheduling; memetic computing; differential evolution; genetic algorithm, evolutionary optimization; defence operations research; project scheduling; performance evaluation; production line balancing.