Decision analytics, operations research, applied optimization, and evolutionary optimization with applications to supply chain management, mine planning and scheduling, manufacturing planning and scheduling, agriculture /crop planning, energy planning and power distribution, and defence (planning, and performance evaluation).
Field of Research (FoR)
Ruhul A Sarker obtained his Ph.D. from Dalhousie University (former TUNS), Canada. He is a Professor in the School of Engineering and IT (SEIT), and the Director of Faculty PG Research at UNSW Canberra (located at ADFA) since May 2015. He also served as 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...view more
Ruhul A Sarker obtained his Ph.D. from Dalhousie University (former TUNS), Canada. He is a Professor in the School of Engineering and IT (SEIT), and the Director of Faculty PG Research at UNSW Canberra (located at ADFA) since May 2015. He also served as 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.
For Future Research Students: Ph.D. 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 firstname.lastname@example.org
Linkedin page: https://www.linkedin.com/in/ruhul-a-sarker-0b88b652/
Link to our Canberra Evolutionary Optimization Research - EvOpt
For details of my personal research activities, go to the link: https://research.unsw.edu.au/people/professor-ruhul-sarker
We offer a Master by Coursework Program, see details in the link Master of Decision Analytics
We also offer Professional Development Short Courses, see details in the page (right column at the bottom): Operations and Decision Analysis
Prof. Sarker has successfully obtained significant external funding for his research that includes Australian Research Council, Defence Science and Technology (DST) Group and Industry. Few recent funded projects:
- R. Sarker, D. Essam and C. Coello Coello (2019-22) Robust Evolutionary Analytics for Changing and Uncertain Environments, ARC DP, $568k.
R. Sarker and S. Elsayed (2019-21) Intelligent Algorithms for Portfolio Selection in Future Force Design, DST, $278K.
- R. Sarker, D. Essam and C. Coello Coello (2017-19) Reactive Planning under Disruptions and Dynamic Changes, ARC DP, $361k.
- R. Sarker and C. Coello Coello (2015-17) Robust Configuration of Evolutionary Algorithms, ARC DP, $237k.
Prof. Sarker is interested for 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).
My Research Activities
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
- Ms Kangjing (Jenny) Li (PhD: Optimisation under dynamic changes and uncertainty) TFS+UCPRS, 9/2017
- Mr Mohamed Radwan (Ph.D.: Big Optimization with GPU Environment), TFS+UCPRS, 3/2016-9/2019
- Mrs Marjia Haque (PhD: Bilevel Optimisation in Supply Chain), TFS+UCPRS 3/2018
- Ms Tahereh HassanZadeh (PhD: Evolutionary NN); TFS+UCPRS 6/2019
- Mr Firoz Mahmud (PhD: Evolutionary RCPSP); TFS+UCPRS 7/2019
- Mr Juel Rana (PhD: Smart Grid Optimisation); TFS+UCPRS 7/2019
Past Research Students
- Dr Amany Mohamed Mamdouh AKL (Ph.D.: Simulation Optimization for Stochastic Programming), TFS+UCPRS, 3/2016-9/2019 (AB); PDF UNSW Canberra
- Dr Karam Md Goda Md Sallam (Ph.D.: Landscape based Design for Evolutionary Algorithms), UCPRS, 3/2014-8/2017 (AB); PDF UNSW Canberra
- Dr Mehran Samavati (Ph.D.: Mine Scheduling), UIPA, 3/2014-1/2017 (SS), PDF at Sydney University (AA); Faculty Thesis Award
- Dr AbdelMonaem AbdAllah (Ph.D: Dynamic Optimisation using EAs), UCPRS, 7/2013-3/2017 (SS) (BB)
- Dr Ripon Kumar Chakrabortty (Ph.D.: Resource Constrained Project Management), UCPRS, 9/2013-2/2017, Lecturer at SEIT (AA)
- Dr Md Forhad Zaman (Ph.D.: Power Generation Planning using EAs), UCPRS, 9/2013-2/2017, RA at SEIT (BB)
- Dr Noha M. Hamza (Ph.D.: Evolutionary Constrained Optimisation), UIPA, 7/2012-8/2016 (on leave S1 2013) (JS), (AB); PDF UNSW Canberra
- Dr Sanjoy Kumar Paul (Ph.D.: Production and Inventory System within Supply Chain), UCPRS; 9/2012-8/2015; Lecturer at UTS (AA), Faculty Thesis Award; 2018 ASOR Rising Star Award
- Mr Ismail Md Ismail Ali (M.Sc.) Resource Scheduled Project Management, UCPRS, 3/2014-3/2016, doing PhD at SEIT (AA), Faculty Thesis Award
- Dr Humyun Fuad Rahman (Ph.D.: EAs for Permutation Flow Shop Scheduling), UCPRS, 8/2011-2/2015, PDF Denmark (BB) now PDF at UNSW Canberra
- Dr Eman Hasan Samir (Ph.D.: Decomposition based Evolutionary Optimisation), RTS, 4/2010-3/2014 (SS), Lecturer, Egypt (AB)
- Dr Irman Hermadi (Ph.D.: Evolutionary Test Data Generation) Co-supervisor, Scholarship: Indonesian Government, 1/2009-9/2012 (SS), Lecturer, Indonesia
- Dr M. Asafuddoula (Ph.D.: Evolutionary Many-objective Optimization), UCPRS, 9/2010-2/2014 (SS), Working as SE at Canberra
- Dr Hawa Hishamuddin (Ph.D.: Supply Chain Modelling and Analysis), Scholarship: Malaysian Government, 3/2009-3/2013(on leave S2 2011), Senior Lecturer in Malaysia (AA), Faculty Thesis Award
- Mr AbdelMonaem AbdAllah (Masters: Dynamic Vehicle Routing using EAs), SEIT Tuition Fee Scholarship, 3/2011-3/2013 (SS) later did Ph.D. at SEIT (BB)
- Dr Saber Mohamed Elsayed (Ph.D.: Evolutionary Constrained Optimization), UCPRS, 8/2009-3/2012. Senior Lecturer at UNSW Canberra. (AAB)
- Mrs Noha M. Hamza (Masters: Evolutionary Constrained Optimization), SEIT Tuition Fee Scholarship, 2/2011-3/2012. Later did Ph.D. at SEIT (AA)
- Dr Nurhadi Siswanto (Ph.D.: Ship Routing and Scheduling) Scholarship: Endeavour Australian Government, 3/2008-3/2012 (SS). Senior Lecturer in Indonesia (ABB)
- Dr Farhana Naznin (Ph.D.: Multiple Sequence Allignment using GAs), UCPRS, 8/2008-8/2011, Working in Canada (AAB), Faculty Thesis Award
- Dr Ehab Zaky El Fiky (Ph.D.: Evolutionary Constrained Optimization), UCPRS, 8/2005-3/2009, Lecturer at Cairo University, Egypt
- Dr Kamrul Hasan (Ph.D.: Evolutionary Systems for Job Scheduling), UCPRS, 2/2006-5/2009, Working with a consulting company in QLD
- Dr Barkat Ullah (Ph.D.: Evolutionary Multi-agent Systems for Constrained Optimization), UCPRS, 3/2006-7/2009, Working with CIT & UC Canberra
- Dr Vinh Bui (Ph.D.) Network Reliability, EIPRS, 7/2005-8/2008 (SS), academic in Vietnam
- Mr Jayan Prasad (M.Sc.: Financial Forecasting using ANN) 7/2005-8/2007, Scholarship: SEIT Tuition Fee Remission. Working in India
- Dr James Whitacre (Ph.D).: Parameters Control in Genetic Algorithms, 7/2004-8/2007 (SS), Currently working as a consultant at Melbourne
- Dr Ang Yang (Ph.D).: Multiagent Combat Systems (Co-supervisor), 3/2003-4/2006, Scholarship: UNSW, Currently working for CSIRO, Canberra
- Dr Guangming Lin (Ph.D.) Topic: Analysing the Bahaviour of Evolutionary Algorithms (Completed in Oct. 2003), Currently a Professor in China
Keynote Speakers (selected):
- IEEE World Congress on Computational Intelligence - WCCI 2020, CEC Plenary Speaker, Glasgow, UK, July 19-24 2020.
- 11th International Conference on Software, Knowledge, Information Management & Applications (SKIMA2017), Colombo, Sri Lanka, December 06 - 08, 2017.
- 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA 2017), Beijing, China, September 8-11, 2017.
- 3rd International Conference on Soft Computing and Problem Solving (SocPros 2013), IIT Roorkee, India, December 26-28, 2013.
- The International Conference on Industrial Engineering and Service Science (IESS2011), September 20-22, 2011, Solo (Surakarta), Indonesia.
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.