ÌÇÐÄÔ­´´

Contact

• workRoom C85
  Jubilee Campus
  Wollaton Road
  Nottingham
  NG8 1BB
  UK
• Nasser.Alkhulaifi@nottingham.ac.uk

Expertise Summary

Research expertise in automated machine learning (AutoML), automated feature engineering, time-series forecasting, decision-focused learning (DFL), uncertainty quantification, and fine-tuning large language models (LLMs) for named entity recognition (NER) problems within uncertainty-aware NLP, with applications in cyber threat intelligence, energy, and environmental modelling.

Teaching Summary

TA:

• COMP4139: Machine Learning Module (PG)
• COMP4030: Data Science with Machine Learning Module (PG)
• COMP3009: Machine Learning Module (UG)
• COMP1008: Fundamentals of Artificial Intelligence (UG)

Research Summary

Researching uncertainty-aware LLM methods to support more reliable and informed decision-making in cyber threat intelligence, as part of our LUCID team, which secured funding through the Alan Turing… read more

Selected Publications

• ALKHULAIFI, NASSER, BOWLER, ALEXANDER L, PEKASLAN, DIRENC, WATSON, NICHOLAS J and TRIGUERO, ISAAC, 2025. Knowledge-Based Systems. 114300
• ALKHULAIFI, NASSER, GOKAY DOGAN, ISMAIL, CARGAN, TIMOTHY R., BOWLER, ALEXANDER L., PEKASLAN, DIRENC, WATSON, NICHOLAS J. and TRIGUERO, ISAAC, 2025. Expert Systems with Applications. 130554
• ALKHULAIFI, NASSER, BOWLER, ALEXANDER L., PEKASLAN, DIRENC, TRIGUERO, ISAAC and WATSON, NICHOLAS J., 2024. In: 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2993–2998
• ALKHULAIFI, NASSER, BOWLER, ALEXANDER L., PEKASLAN, DIRENC, SERDAROGLU, GULCAN, CLOSS, STEVE, WATSON, NICHOLAS J. and TRIGUERO, ISAAC, 2024. IEEE Access. 12, 153935–153951

• View all publications

Current Research

Researching uncertainty-aware LLM methods to support more reliable and informed decision-making in cyber threat intelligence, as part of our LUCID team, which secured funding through the Alan Turing Institute's Defence and National Security Grand Challenge.

Past Research

Throughout my PhD, I developed AutoEnergy, a novel time-series forecasting algorithm designed to streamline AutoML workflows while improving predictive performance and computational efficiency. My PhD research also investigated decision-focused learning and related interdisciplinary areas, including deep neural network architecture design, hybrid modelling, and Bayesian optimisation.

• BOWLER, ALEXANDER LEWIS, ALKHULAIFI, NASSER, BOWLER, SARAH, SIER, JOANNA H, FERREIRA, CELIA, GREETHAM, DARREN, PENNELLS, JORDAN, KNOERZER, KAI and WATSON, NICHOLAS J, 2026. bioRxiv. 2026-07
• NASSER ALKHUALIFI, 2026.
• CANATAN, MERT, ALKHULAIFI, NASSER, WATSON, NICHOLAS and BOZ, ZIYNET, 2025. Food Engineering Reviews. 1-31
• ALAGOZ, BARIS BAYKANTAND KELES, CEMALAND ATES, ABDULLAHAND ÖZDEMIR, EDANURAND ALKHULAIFI, NASSER, 2025. Neural Computing and Applications.
• ALKHULAIFI, NASSER, BOWLER, ALEXANDER L, PEKASLAN, DIRENC, WATSON, NICHOLAS J and TRIGUERO, ISAAC, 2025. Knowledge-Based Systems. 114300
• ALKHULAIFI, NASSER, GOKAY DOGAN, ISMAIL, CARGAN, TIMOTHY R., BOWLER, ALEXANDER L., PEKASLAN, DIRENC, WATSON, NICHOLAS J. and TRIGUERO, ISAAC, 2025. Expert Systems with Applications. 130554
• ALKHULAIFI, NASSER, BOWLER, ALEXANDER L., PEKASLAN, DIRENC, SERDAROGLU, GULCAN, CLOSS, STEVE, WATSON, NICHOLAS J. and TRIGUERO, ISAAC, 2024. IEEE Access. 12, 153935–153951
• ALKHULAIFI, NASSER, BOWLER, ALEXANDER L., PEKASLAN, DIRENC, TRIGUERO, ISAAC and WATSON, NICHOLAS J., 2024. In: 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2993–2998
• NASSER ALKHUALIFI, 2024. In: CS Open Labs, School of Computer Science, ÌÇÐÄÔ­´´.