Teaching


  • 2020, Teaching Assistant for Deep Learning (2AMM10) at TU/e, (Tutorials and Practicals)

  • 2021, Teaching Assistant for Deep Learning (2AMM10) at TU/e, 2021, (Tutorials and Practicals)

  • 2022, Teaching Assistant for Deep Learning (2AMM10) at TU/e, 2022, (Tutorials and Practicals)

  • 2023, Applied Artificial Intelligence (CS5079) at University of Aberdeen,

  • 2024, Data Mining and Deep Learning (CS552J) at University of Aberdeen,

  • 2024, Practical Business Analytics (Com3018), University of Surrey,


Supervision


Ph.D Projects

  • 2024  Project: Model Compression
    Student: Andy Li
    Co-supervised with Prof. Georgios Leontidis

  • 2024  Project: Robustness of Large Foundation Models
    Student: Kappiyath, Adarsh
    Co-supervised with Prof. Xiatian Zhu

  • 2024  Project: Resource Efficient 3D World Understanding
    Student: Thengane, Vishal
    Co-supervised with Prof. Xiatian Zhu

MSc Projects

  • 2022  Project: Automated Object Recognition of Solar Panels in Aerial Photographs.
    Student: Judith te Selle
    Co-supervised with Prof. Pechenizkiy Mykola, Dr. Renata Medeiros de Carvalho, Dr. Tim Weelinck

  • 2022 Project: Aspect-based Few-shot Learning.
    Student: Phuong Trinh
    Co-supervised with Dr. R. Medeiros de Carvalho, Dr. Vlado Menkovski

  • 2024  Project: Less is More: Training Neural Networks with Minimal Parameters!
    Student: Pritham Raaj Kishore Anand

  • 2024  Project: Efficient Data Utilization in Diffusion Models.
    Student: Nikhila Ramisetti

BSc Projects

  • 2024  Project: Hyperbolic Class-incremental Semantic Segmentation
    Student: Ben Laurie

Intern Projects

  • 2024  Project: Parameter-Efficient LLM Fine Tuning
    Student: Pengxiang Li
    Second year Master from Dalian Ligong University

  • 2024  Project: Urban Understanding using Deep Learning
    Student: Zheyan Qu
    Second year Master from Beijing University of Posts and Telecommunications

  • 2024  Project: LLM MoE Merging/Pruning
    Student: Mingyu Cao