660 12934

Amirhassan MONAJEMI

Senior Lecturer (Educator Track)

  • PhD, Computer Science, Pattern Recognition and Image Processing, University of Bristol, Bristol, England, 2004.
  • MSc, Computer Engineering, Machine Intelligence and Robotics, Shiraz University, Shiraz, Iran, 1994.
  • BSc, Computer Engineering, Hardware, Isfahan University of Technology, Isfahan, Iran, 1991.

Dr Amirhassan Monajemi is a Senior Lecturer with the School of Computing, National University of Singapore (NUS). Before joining the NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. He was born in 1968 in Isfahan, Iran. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University, both in Iran, respectively. He got his PhD in computer engineering, pattern recognition and image processing, from the University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Learning, Machine Vision, IoT, Data Science, and their applications. He has taught artificial intelligence courses, including AI, Advanced AI, Expert Systems, Decision Support Systems, Neural Networks, and Cognitive Science since 2005 at both undergraduate and postgraduate levels. He was awarded the best university teacher of the province in 2012. He also has studied Learning Management Systems, E-Learning, and E-Learning for workplaces since 2007. Dr. Monajemi has registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, including an AI and machine vision-based driver drowsiness detection system and a low power consuming spherical robot. He also has published more than a hundred research papers in peer-reviewed, indexed journals and international conferences (IEEE, Elsevier, Springer, and so on), and supervised several Data Science, IoT, and AI industrial projects in various scales, including Isfahan intelligent traffic system delivery and testing, and red light runners detection. He is experienced in different sub-domains of Artificial Intelligence and Machine Learning, from theory to practice, including Deep Learning, Logic, and Optimisation.


Artificial Intelligence
  • Decision Making & Planning
  • Machine Learning
  • Computer Vision
  • Computer Vision & Pattern Recognition
  • Multimedia Analytics
  • Social Media Analysis


  • AI and Machine Learning

  • Artificial Neural Networks and Deep Learning





  • A new hierarchy framework for feature engineering through multi‐objective evolutionary algorithm in text classification, R Asgarnezhad, SA Monadjemi, MS Aghaei Concurrency and Computation: Practice and Experience, e6594, 2021.
  • Memory‐and time‐efficient dense network for single‐image super‐resolution, N Imanpour, AR Naghsh‐Nilchi, A Monadjemi, H Karshenas, K Nasrollahi, IET Signal Processing 15 (2), 141-152, 2021.
  • Multimodal mental health analysis in social media, AH Yazdavar, MS Mahdavinejad, G Bajaj, W Romine, et al. Plos one 15 (4), 2020.
  • The Design and Development of a Dynamic Model of a Low Power Consumption, Two-pendulum Spherical Robot, S Asiri, F Khademianzadeh, A Monadjemi, P Moallem, IEEE/ASME Transactions on Mechatronics, 2019.
  • Iterative Algorithm For Interactive Co-Segmentation Using Semantic Information Propagation, Z Kamranian, ARN Nilchi, A Monadjemi, N Navab, Applied Intelligence 48 (12), 5019-5036, 2018.
  • Visual Tracking In Video Sequences Based On Biologically Inspired Mechanisms, A Sokhandan, A Monadjemi, Computer Vision And Image Understanding, 2018.


  • Best researcher of the university in the field of computer science, University of Isfahan, Iran, 2011

  • Best researcher of the province in the field of engineering, Isfahan, Iran, 2012


Programming Methodology
Computer Vision and Pattern Recognition