Personlig presentation av Ross May

Lecturer Information and Communications Technology

Information Science School of Information and Engineering

PhD

Microdata Analysis School of Information and Engineering

I focus on delivering education and research of the highest quality. My research includes algorithmic pricing in markets and the application of multi-agent reinforcement learning to the simultaneous study of organisational problems and their optimisation via the design of suitable mechanisms.

Contact

rom@du.se

Other Profile Pages

Researchgate

Orcid user ID

Googlescholar

Boards

Board Member in University Education and Research Board

Committees

Chairperson in Utskott för utbildningsutvärdering – IHOV

Teaching

I have taught courses in mathematics, python and R programming, and have been involved as a teaching assistant in machine learning courses.

Currently, I am a teacher in several courses with responsibilities that span academic writing, statistical analysis, data visualisation, cryptography, discrete mathematics, and logic.

I have also acted as a supervisor and examined at the advanced masters level.

Course Coordinator

Information Design (GIK373)

Research

Publications

May, Ross, Carling, Kenneth, Huang, Pei. Assessment of the broader applicability of a smart agent in peer-to-peer energy trading : A full factorial analysis of a multi-agent reinforcement learning solution, Energy, 2024, Vol. 309. Article : refereed.
May, Ross, Huang, Pei. A multi-agent reinforcement learning approach for investigating and optimising peer-to-peer prosumer energy markets, Applied Energy, 2023, Vol. 334. Article : refereed.
May, Ross. On the Feasibility of Reinforcement Learning in Single- and Multi-Agent Systems : The Cases of Indoor Climate and Prosumer Electricity Trading Communities, Dalarna University, 2023. Doctoral thesis.
Han, Mengjie, May, Ross, Zhang, Xingxing, Wang, Xinru, Pan, Song, Da, Yan, Jin, Yuan. A novel reinforcement learning method for improving occupant comfort via window opening and closing, Sustainable cities and society, 2020, Vol. 61. Article : refereed.
Han, Mengjie, May, Ross, Zhang, Xingxing, Wang, Xinru, Pan, Song, Yan, Da, Jin, Yuan, Xu, Liguo. A review of reinforcement learning methodologies for controlling occupant comfort in buildings, Sustainable cities and society, 2019, Vol. 51. Article : refereed.

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