Dr Leandro L. Minku BSc, MSc, PhD

Dr Leandro L. Minku

School of Computer Science
Senior Lecturer of Computer Science

Contact details

Email
l.l.minku@bham.ac.uk
Address
School of Computer Science
University 麻豆精选
Edgbaston
Birmingham
B15 2TT
UK

Leandro L. Minku is a Senior Lecturer in Intelligent Systems.

He has over 70 publications in scientific venues, book chapters, columns for practitioners and articles to the general public. His research has been funded by EPSRC.

Leandro is enthusiastic about discussing and teaching artificial intelligence, and has strong research interests in the field of machine learning, including its intersections with other fields such as software engineering.

Leandro is a co-supervisor of  an Innovative Training Network (ITN) for early stage researchers (ESRs) funded by the EU’s Horizon 2020 research and innovation program under grant agreement No.766186. It is based on novel synergies between nature inspired optimisation and machine learning. The training programme will be targeted at the automotive industry and ESRs employed on the program will be provided with the transferable skills necessary for thriving careers in emerging and rapidly developing industrial areas.

Please follow the link below to find out more about Leandro's work:

Qualifications

  • Fellow of the Higher Education Academy (2019)

  • PhD in Computer Science, University 麻豆精选 (2010)

  • MSc in Computer Science, Federal University of Pernambuco (2006)

  • BSc in Computer Science, Federal University of Parana (2003)

Biography

Leandro L. Minku is a Senior Lecturer in Intelligent Systems at the School of Computer Science, University 麻豆精选 (UK). Prior to that, he was a Lecturer in Computer Science at the University of Leicester (UK). He received his PhD degree in Computer Science from the University 麻豆精选 (UK) in 2010.

Dr. Minku's main research interests are machine learning in non-stationary environments / data stream mining, online class imbalance learning, ensembles of learning machines and computational intelligence for software engineering. His work has been published in internationally renowned journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Software Engineering and ACM Transactions on Software Engineering and Methodology.

Among other roles, Dr. Minku is the general chair for the International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2019 and 2020), the co-chair for the Artifacts Evaluation Track at the International Conference on Software Engineering (ICSE 2020), an associate editor for the Journal of Systems and Software, an editorial board member for Neurocomputing and a conference correspondent for IEEE Software.

Teaching

  • MSc in Computer Science

Postgraduate supervision

  • Dr Rodolfo Cavalcante (completed in 2017), topic: time series forecast in non-stationary environments.

  • Ds Liyan Song, (completed in 2018), topic: software effort estimation using machine learning.

  • Mr Michael Chiu, topic: machine learning for non-stationary environments.

  • Mr Honghui Du, topic: machine learning for non-stationary environments.

  • Mr Gustavo Henrique Ferreira de Miranda Oliveira, topic: machine learning for non-stationary environments.

  • Mr Gan Ruan, topic: dynamic optimisation.

  • Ms Dalia Sobhi (completed in 2019), topic: software architectures.

  • Ms Sadia Tabassum, topic: machine learning for software engineering.

Research

  • Mining Data Streams, Online Learning and Concept Drift

  • Class Imbalanced Learning

  • Ensembles of Learning Machines

  • Evolutionary Algorithms (dynamic optimisation, multi-objective techniques, hyperheuristics)

  • Applications of the above to Software Engineering

Publications

Recent publications

Article

Soares, R & Minku, L 2025, '', Neural Networks, vol. 185, 107151.

Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2024, '', IEEE Computational Intelligence Magazine, vol. 19, no. 4, 10709780, pp. 31-44.

Ruan, G, Minku, L, Xu, Z & Yao, X 2024, '', IEEE Transactions on Emerging Topics in Computational Intelligence.

Ruan, G, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2024, '', IEEE Transactions on Emerging Topics in Computational Intelligence.

Ruan, G, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2024, '', IEEE Transactions on Evolutionary Computation.

Cabral, GG, Minku, L, Oliveira, ALI, Pessoa, D & Tabassum, S 2023, '', Empirical Software Engineering, vol. 28, no. 5, 121.

Shi, X, Minku, L & Yao, X 2023, '', IEEE Transactions on Neural Networks and Learning Systems.

Chapter

Song, L & Minku, L 2023, . in JR Romero, I Medina-Bulo & F Chicano (eds), Optimising the Software Development Process with Artificial Intelligence. 1 edn, Natural Computing Series, Springer, pp. 19鈥�65.

Comment/debate

Cabral, GG, Minku, LL, Oliveira, ALI, Pessoa, DA & Tabassum, S 2024, '', Empirical Software Engineering, vol. 29, no. 6, 151.

Conference contribution

Shi, X, Minku, L & Yao, X 2024, . in 31st International Conference on Neural Information Processing (ICONIP'2024). Springer, 31st International Conference on Neural Information Processing, Auckland, New Zealand, 2/12/24.

Shi, X, Minku, L & Yao, X 2024, . in M Bramer & F Stahl (eds), Artificial Intelligence XLI: 44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17鈥�19, 2024, Proceedings, Part I. Lecture Notes in Artificial Intelligence, vol. 15446, Springer, 44th SGAI International Conference on Artificial Intelligence, Cambridge, United Kingdom, 17/12/24.

Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2023, . in GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), pp. 45鈥�46, GECCO '23: Genetic and Evolutionary Computation Conference, Lisbon, Portugal, 15/07/23.

Song, L, Minku, L, Teng, C & Yao, X 2023, . in S Chandra, K Blincoe & P Tonella (eds), ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. FSE: Foundations of Software Engineering, Association for Computing Machinery (ACM), pp. 605鈥�617, 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, San Francisco, California, United States, 3/12/23.

Shi, X, Wang, Z, Minku, L & Yao, X 2023, . in GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), pp. 683鈥�686.

Review article

Taib, B, Karwath, A, Wensley, K, Minku, L, Gkoutos, G & Moiemen, NS 2023, '', Journal of Plastic, Reconstructive & Aesthetic Surgery, vol. 77, pp. 133-161.