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Dr. Seyed Mousavi

Dr. Seyed Mousavi

Postdoctoral Research Associate, Faculty of Mathematics and Data Science

Telephone: +971 4 6050254

Email: seyed.mousavi@eau.ac.ae

Dr. Seyed Mousavi received his BSc, MSc, and PhD from top universities. He is especially interested in high-impact real-world applications of AI. After earning his PhD from Imperial College London (2006), he started his academic roles: Assistant Professor in Computer Engineering (Isfahan University of Technology, 2007-2014), Associate Professor in Software Engineering (Amirkabir University of Technology, 2014-2018), and Assistant Professor in Data Science (Coventry University, 2018-2024). Because of his interest in real-world impact, he has also engaged with industry as a developer (during his studies) and as a team lead, contractor, and consultant (during his academic profession). Three of his nine grants were research and development projects. Most recently (2024-2025), as a Research Fellow at the School of Computing Science, University of Glasgow, he contributed to a research and development project on AI in healthcare, jointly run with (and funded by) Boehringer, a global pharmaceutical company. In addition, he has been affiliated with the School of Cancer Sciences, University of Glasgow.

  • PhD in Computing, Imperial College London, UK, 2006.
  • MSc in Computer Engineering (Distinction), Amirkabir University of Technology, Iran, 1995.
  • BSc in Computer Engineering (First-class), Sharif University of Technology, Iran, 1992.

Teaching qualification and fellowship:

  • PgCert in Academic Practice in Higher Education, Coventry University, UK, 2021.
  • Fellow of the UK Higher Education Academy.
  • Programming for Data Science
  • Principles of Data Science
  • Artificial Neural Networks (including Deep Learning)
  • Intelligent Information Retrieval
  • Database Systems
  • Deep Learning, including Self-Supervised Learning, applied in real-world domains, especially in healthcare
  • AI for health economics
  • Optimisation of machine learning models

Selected journal papers:

  • Mousavi S. Bhambar, S. and England, M., ”An iterated greedy algorithm with variable reconstruction size for the obnoxious p‐median problem,” International Transactions in Operational Research, 32, 2025, 144–175.
  • Mousavi S. R., “Exploiting flat subspaces in local search for p-Center problem and two fault-tolerant variants,” Computers & Operations Research, 149(1), 2023, 106023
  • Shahreza M. L., Ghadiri N., Mousavi S. R., Varshosaz J., Green J., "A review of network-based approaches to drug repositioning," Briefings in Bioinformatics, 19(5), 2018, 878-892.
  • Noorbehbahani F., Fanian A., Mousavi S. R. and Hasannejad H., "An incremental intrusion detection system using a new semi‐supervised stream classification method," International Journal of Communication Systems, 30(4): e3002, 2017, doi: 10.1002/dac.3002.
  • Falsafain, H. and Mousavi S. R., "Exhaustive Enumeration of Elementary Trapping Sets of an Arbitrary Tanner Graph," IEEE Communications Letters, 20(9), 2016, 1713-1716.
  • Mousavi S. R., Mirabolghasemi M., Bargesteh N., and Talebi M., “Effective haplotype assembly via maximum Boolean satisfiability,” Biochemical and Biophysical Research Communications, 404(2), 2011, 593-598.
  • Noorbehbahani F., Mousavi S. R. and Mirzaei A., "An incremental mixed data clustering method using a new distance measure," Soft Computing, 19(3), 2015, 731-743.
  • Khazaei B., Sartakhti J. S., Manshaei, M. H., Zhu Q., Sadeghi M., Mousavi S. R., "HIV-1-Infected T-cells Dynamics and Prognosis: An Evolutionary Game Model," Computer Methods and Programs in Biomedicine, 152, 2017, 1-14.
  • Sabbagh M. S., Ghafari H. and Mousavi S. R., "A new hybrid algorithm for the balanced transportation problem," Computers & Industrial Engineering, 82, 2015, 115-126.
  • Mousavi S. R., Babaie M., and Montazerian M., "An Improved Heuristic for the Far From Most Strings Problem," Journal of Heuristics, 18(2), 2012, 239-262.
  • Mousavi S. R., Bahri F., and Tabataba F., “An Enhanced Beam Search Algorithm for the Shortest Common Supersequence Problem,” Engineering Applications of Artificial Intelligence, 25(3), 2012, 457–467.
  • Mousavi S. R. and Nasr Esfahani N., “A GRASP Metaheuristic for the Closest String Problem using a Probability-based Heuristic,” Computers & Operations Research, 39(2), 2012, 238-248.
  • Mousavi S. R. and Tabataba F., “An Improved Algorithm for the Longest Common Subsequence Problem,” Computers & Operations Research, 39(3), 2012, 512-530.
  • Sabbagh M. S., Mousavi S. R. and Zamani Y., "A negative dual rectangle cancellation algorithm for the linear assignment problem," Computers & Industrial Engineering, 65(4), 2013, 673-678.
  • Towhidi M., Sadeghi M., Mousavi S. R., and Mireei S. A., “Artificial neural network modeling of process and product indices in deep bed drying of rough rice,” Turkish Journal of Agriculture and Forestry, 36, 2012, 738-748.
  • Falsafain H. and Mousavi S. R., "Stopping set elimination by parity-check matrix extension via integer linear programming," IEEE Transactions on Communications 63(5), 2015, 1533-1540.
  • Falsafain, H. and Mousavi S. R., "A Generator-Matrix-Based Approach for Adaptively Generating Cut-Inducing Redundant Parity Checks," IEEE Communications Letters, 20(4), 2016, 640-643.
  • Ashouri M, Zali Z., Mousavi S. R. and Hashemi M. R., "New optimal solution to disjoint set K-coverage for lifetime extension in wireless sensor networks," IET Wireless Sensor Systems, 2(1), 2012, 31-39.
  • Shahreza M. L., Ghadiri N., Mousavi S. R., Varshosaz J., Green J., "Heter-LP: A heterogeneous label propagation algorithm and its application in drug repositioning," Journal of Biomedical Informatics, 68, 2017, 167-183.
  • Mousavi S. R., Khodadadi I, Falsafain H, Nadimi R, Ghadiri N, “Maximum likelihood model based on minor allele frequencies and weighted Max-SAT formulation for haplotype assembly,” Journal of Theoretical Biology, 350(7), 2014, 49–56.
  • Ramadhani S., Mousavi, S. R., and Talebi, M., “An Improved Heuristic for Haplotype Inference,” GENE, 507(2), 2012, 177–182.
  • Mousavi, S. R., “Improved Haplotype Assembly using Xor Genotypes,” Journal of Theoretical Biology, 298(3), 2012, 122-130.
  • Tabataba F. S. and Mousavi S. R., “A Hyper-heuristic for the Longest Common Subsequence Problem,” Computational Biology and Chemistry, 36, 2012, 42-54.