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Farhad Fassihi Tash

Farhad Fassihi Tash

Senior Lecturer

Computer Science

Staff Group(s)
Computer Science

Role

Senior Lecturer

Farhad Fassihi Tash is a senior lecturer at the Computer Science Department of the Nottingham Trent University. Farhad is a member of Computing & Informatic Research Centre (CIRC) and Computational Intelligence and Applications Research (CIA) Groups within the department. He is the chair of Systems Council Chapter and Systematic Innovation Special Interest Group of the IEEE UK & Ireland. He is a certified authorised lead assessor of Ethics of AI systems based on the IEEE Standards Association’s “CertifAIEd” programme for assessment and certification of Artificially Intelligent solutions and has been a member of the international panel of experts tasked with the review of the CertifAIEd framework in 2023. He is currently contributing to the development of a systematic framework for assessment of safety of Agentic AI solutions as part of an independent international group of experts.

Career overview

Following his first degree in Electronics Engineering, Dr Fassihi Tash received his MSc and PhD in Computer Aided Engineering from the NTU in 1989 and 1993 respectively. Upon completion of his PhD, Farhad continued his academic engagement at the Manufacturing Engineering Department of the NTU as Research Fellow / Senior Research Fellow until 1998 before leaving the university to pursue new challenges in industry. Farhad established new enterprises in the field of IT & Communication, developing innovative ICT, solutions that won awards for innovation and excellence from the EU and the UK Chartered Institute of Logistics and Transport for his company’s solutions. Since 2020 he has returned to academic life, working at the Computer Science Department of the NTU, teaching in UG and PG courses as well as conducting research.

Research areas

Systematic Innovation

AI Ethics  & Safety

Applied AI

External activity

Chair, Systems Council, IEEE UK & Ireland

Chair, Systematic Innovation Special Interest Group

Member of international expert panels in developing assessment framework for Ethical and Safe Agentic AI solutions.