Dr Nathanael L Baisa

Job: Lecturer in Artificial Intelligence

Faculty: Computing, Engineering and Media

School/department: School of Computer Science and Informatics

Address: De Montfort University, The Gateway, Leicester, LE1 9BH

T: N/A

E: nathanael.baisa@dmu.ac.uk


Personal profile

Dr. Nathanael L. Baisa received his PhD degree in Electrical Engineering (with focus on Computer Vision and Machine Learning) from Heriot-Watt university, UK, in 2018 and his MSc degree in Computer Vision and Robotics (VIBOT) from three universities (European Erasmus Mundus): Burgundy University in France, Girona University in Spain and Heriot-Watt University in UK, in 2013.

Before joining DMU in June 2021 as a Lecturer in Artificial Intelligence (AI), he was a senior research associate at Lancaster university (Oct 2020 – May 2021), a researcher at AnyVision (Feb 2019 – Aug 2020) and a research fellow at university of Lincoln (Oct 2017 – Dec 2018), all in computer vision and machine learning, where he participated as a main researcher in many research projects funded by ERC (under EU’s horizon 2020), EPSRC and Innovate UK.

His research interests include computer vision, image processing, machine learning and deep learning, with current research emphasis on
deep learning for solving computer vision problems such as object detection, recognition, tracking, scene understanding, etc. for different applications such as intelligent video surveillance, biometrics, autonomous driving, robot perception, etc.

Research group affiliations

Institute of Artificial Intelligence (IAI)

Research interests/expertise

  • Computer Vision
  • Image Processing
  • Machine Learning
  • Deep Learning

Areas of teaching

  • Computer Vision
  • Image Processing
  • Machine Learning
  • Deep Learning


  • PhD - Electrical Engineering (Computer Vision and Machine Learning)
  • MSc - Computer Vision and Robotics
  • BSc - Electrical Engineering 

Courses taught

CTEC5604_520 Introduction to Computer Vision, CTEC5602_520 Machine Learning, IMAT5235_520 Artificial Neural Networks and Deep Learning, IMAT5118_520 NLP based deep learning, IMAT1907_501 Introduction to C++