Staff
Rohit Babbar

Department of Computer Science

Dr Rohit Babbar

Rohit is a Senior Lecturer in the department of Computer Science at the University of Bath. Before this, he was an Assistant Professor at Aalto University in Finland, and a post-doc at Max-Planck Institute for Intelligent Systems, Germany.

The focus of his current research is on : (i) supervised learning problems with large label spaces, (ii) learning with long-tailed data, and under label/input noise, (iii) sparse neural networks for energy & memory efficient training/fine-tuning with LLMs, and (iv) generalisation/robustness in deep learning. Some of his works on developing memory efficient algorithms on commodity GPUs have been published in ECML 2023 and NeurIPS 2024. Other works on proposing evaluation metrics for long-tail data in large output space, their statistical properties and optimal classifiers have been published in ICLR 2024, NeurIPS 2023, and KDD 2022.

Research interests :

  • supervised learning problems with large label spaces,
  • learning with long-tailed data, and under label/input noise,
  • sparse neural networks for energy & memory efficient training/fine-tuning with LLMs,
  • generalisation/robustness in deep learning.

 

University of Bath Research Portal:

Rohit Babbar — the University of Bath’s research portal

Second Supervisors

Wenbin Li

Department of Computer Science

Research interests:

  • Reinforcement learning and its inverse problems;
  • Graph and network optimisation;
  • Continuous state approximation.
learn more

Georgios Exarchakis

Department of Computer Science

Research interests:

  • Learning Invariant Representations of High Dimensional Data
  • Efficient Inference and Learning in Probabilistic Models
  • Deep Learning
learn more

Michael Yang

Department of Computer Science

Research interests:

  • 3D scene synthesis
  • Scene graph generation
  • Multimodal learning
learn more

Ali Uncu

Department of Computer Science

Research interests:

  • Applications of Computer Algebra
  • Combinatorics and q-series
  • Developing new algorithms for mathematics
learn more

Alessandro Leronni

Department of Mechanical Engineering

Research interests

  • Continuum modelling of electrochemo-mechanical systems
  • Finite element implementation of multiphysics frameworks
  • Smart materials, energy storage, and developmental biology
learn more

Da Chen

Department of Computer Science

Research interests:

  • Computer vision, deep learning, multimodal learning: general CV/ML tasks in practical scenarios.
  • Learning with limited data: Learning with imbalanced data, long-tailed data, open-set data, out-of-distribution data, etc; incremental learning, few-shot learning, etc.
  • Video processing: multimodal learning with video with visual, textual, and audio information.
learn more

Antonio Pellegrino

Department of Mechanical Engineering

Research Interests:

  • Experimental mechanics
  • Applications of artificial intelligence to Solid Mechanics and materials modelling.
  • Impact Engineering
learn more

Jun Zang

Department of Architecture and Civil Engineering

Jun’s research concerns the hydrodynamic loadings on urban, coastal and offshore structures and the impact of extreme events on such structures.

learn more

Dylan Thompson

Department for Health

Research interests:

  • physical activity, energy balance and chronic disease;
  • physical activity assessment, measurement and feedback;
  • nutrition, physical activity and adipose tissue function;
  • exercise, nutrition and metabolism (including immunometabolism).
learn more

Ron Lavi

Department of Economics

Ron’s research is in algorithmic game theory and internet economics

learn more