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Dr Koorosh Aslansefat
Contact: k.aslansefat@hull.ac.uk
Office: 303B, Third floor, Robert Black Burn Building, University of Hull
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Koorosh Aslansefat is an Assistant Professor of Computer Science at the University of Hull. He received the M.Sc. degree in control engineering from Shahid Beheshti University, Tehran, Iran, in 2014. He got a fellowship with Grant No. 723764 for the EU H2020 project entitled: GO0D MAN (aGent Oriented Zero Defect Multi-stage mANufacturing) from 2016 to 2018. In 2018, he got a Studentship Award from EDF Energy R&D UK to do a PhD at the University of Hull and have an industrial collaboration with EDF Energy for a project entitled: DREAM (Data-driven Reliability-centred Evolutionary Automated Maintenance for Offshore Wind Farms). In his PhD career, he managed to get the IET Leslie H. Paddle Award for being an Outstanding Researcher for his research works on Real-time dependability evaluation and the DREAM project. In 2021, in his write-up year, he became a Research Associate and as a named researcher got a fellowship with Grant No. 101017258 for another EU H2020 project entitled: (SESAME) Safe Multi-Robot Systems. In this position, he managed to get an Post-Doctoral Enrichment Award from the Alan Turing Institute for his innovative research on safety evaluation of machine learning known as SafeML. SafeML was recently recommended in the new German Industry Standard for Machine Learning Uncertainty Quantification (DIN SPEC 92005). Koorosh Aslansefat is internationally renowned for innovative research on engineering of dependable systems that includes real-time dependability analysis of complex systems and safety assurance of machine learning algorithms.
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Publications:
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Useful URLs:
Funded Research Projects as PI/Co-I
AKT: TRUST-LLM: Tailored Responsible Use of Safe and Trustworthy LLM for Planning Law Institutional Memory Management
Role: Principal Investigator
Funder: UKRI (£35K)
Partner: Walton&Co Ltd.
Vital Knowledge Exchange Visits: Bolstering Ongoing Collaborative Responsible AI Projects
Role: Principal Investigator
Funder: University of Hull (£15k)
Partners: IIT-Madras
LFG Digital Twin Project with BACB Renewables (Bid Development)
Role: Principal Investigator
Funder: UKRI Environmental Monitoring Innovation (Total: £400K, RA: £100K)
Digital Twin Through Physics-Informed Deep Learning For Offshore Wind Turbine Gearing Fault Diagnosis and Prognosis
Role: Co-Investigator
Funder: QR-Fund, University of Gloucestershire (£5k)
HIKE SC-Track: Single-cell tracking of highly heterogenous cancers for timelapse microscopy imaging using explainable deep-learning
Role: Principal Investigator
Funder: University of Hull (£41K)
Partners: AstraZeneca UK Ltd. and Zhejiang University
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PhD Students/Research Staff
List of PhD students Dr Aslansefat supervises.
PhD in Redefining Fairness in ML: A Pigment-Based Approach to Skin Colour Analysis
My role: Principal Supervisor
PhD in A Novel Safe Medical LLM through Combining Neuro-symbolic AI-based Hallucination Avoidance and SafeML for Healthcare
My role: Principal Supervisor
Louis Donaldson
PhD in OPtimization EXplainability (OPEX) for Maintenance Scheduling of Offshore Wind Farms
My role: Co-supervisor
PhD in SafeLLM: Safety Monitoring for Large Language Models: A Case Study of Offshore Wind Maintenance
My role: Co-supervisor
PhD in Integrating ML-Based Remote Monitoring System to Enhance Bone Health in Peri- and Post-Menopausal Women
My role: Co-supervisor
PhD in Responsible Large Language Models
My role: Co-supervisor
PhD in Deep Meme Clustering with Phrase Vectors and Fine-grained Image Similarity
My role: Co-supervisor
PhD in Assurance of Autonomous Systems
My role: Co-supervisor
