Computer Vision Laboratory

Image of Iman Yi Liao

Iman Yi Liao

Associate Professor,


  • workRoom BB63 Faculty of Science
    Malaysia Campus
    Jalan Broga
    43500 Semenyih
    Selangor Darul Ehsan
  • work+6 (03) 8725 3438


Dr. Iman Yi Liao obtained her BSc, MSc, PhD all from School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, China, in 1996, 1999, and 2006 respectively. She was a visiting researcher in Chinese University of Hong Kong from July 2001 to Dec 2001, and in CVSSP, University of Surrey, UK from Dec 2003 to Sep 2004, respectively. She joined the School of Computer Sciences, Universiti Sains Malaysia in 2008 as a Post-Doctorate research fellow and subsequently became a Senior Lecturer there until 2012. She is now an Associate Professor in School of Computer Science, University of Nottingham Malaysia Campus.

Expertise Summary

Dr. Iman is mainly working in the area of Computer Vision and Image Processing, especially in 3D reconstruction from 2D images. She is also familiar with general Pattern Recognition techniques and their applications in Computer Vision and Image Processing. She is interested in mathematically modeling Vision and Imaging problems and generalize these methods to different areas where problems share similar attributes. Theoretical tools she has investigated include variational methods, optimization theory and algorithms, regularization methods, relaxation algorithms, fractal analysis, multi-scale analysis (e.g., wavelets), Markov random fields, B-Splines, Differential Geometry, Principal Component Analysis, and some typical Machine Learning techniques as well as Deep Convolutional Neural Networks.

Teaching Summary

The current modules she is teaching include

- Mathematics for Computer Scientists

- Computer Vision

- Machine Learning

- Advance Algorithms and Data Structure

Other modules she has taught/ was involved in include

- Computer Graphics

- Database

- Software Engineering

Research Summary

My current research includes both theoretical and application works.

In the theoretical aspect, currently I am focusing on Small Sample Size Problem in High Dimensional Data Modeling, a challenging problem that has recently drawn attention of researchers from various fields such as genomics, Image and Video Analysis, Chemometrics, Economics, and Humanities. As a common problem in the above mentioned areas, where the classic statistical theories have difficulty (as they work based on assumption of large number of examples as compared to data dimensionality), it requires exploring new theories and techniques in statistical and machine learning, which can be hopefully applied to solve related problems in all those aforementioned areas.

As for the application of image processing and computer vision, I am now working with medical doctors and forensic experts at Hospital Kuala Lumpur on Post Mortem Computerised Tomography (PMCT) data, to analyse and identify the associated demographics such as gender, age, race, etc, using image processing and machine learning techniques apart from standard methodologies in Forensic Medicine and Sciences. I have also collaborations with Universiti Kebangsaan Malaysia, Monash University Malaysia, on various Image Processing and Computer Vision researches/projects.

Recent Publications

Title: A Novel Data Space Regularization Method for Solving Anti-Learning Problems in Machine Learning

Role: Principal Investigator

Co-researchers: Dr. Chong Siang Yew, Dr. Christopher Roadknight

Funding Body: FRGS, MOHE, Malaysia

Start/End Date: 1st Sep. 2014 - 31st Aug. 2016 (Extended to 31st Aug 2017)

Amount: RM72,785

PhD Student: Sheena Leeza Verghese


Title: Automatic Identification from 3D Cranio-Facial Data for Forensic Examinations

Role: Principal Investigator

Co-researchers: Dr. Chong Siang Yew, Mr. Ho Sooi Kock, Dr. Jayaprakash Paul Thoms (USM), Ms. Khoo Lay See (HKL), Dr. Nurliza Abdullah (HKL), Dr. Mohd Shah Mahmood (HKL), Dr. Hafizam (HKL), Dr. Mohamad Helmee (HKL), Dr. Pan Zheng (Swinburne University of Technology Sarawak)

Funding Body: e-Science Fund, MOSTI, Malaysia

Start/End Date: 1st Nov. 2014 - 30th April 2017

Amount: RM145,500

PhD Student: Olasimbo Arigbabu, Mahmoud Khattab


Title: Development of a Prototype Computational Platform for Assisted Interventional Planning of Radiofrequency Ablation and Cryoablation Treatment of Cancer

Role: Co-Investigator

Principal Investigator: Dr. Ooi Ean Hin (Monash University Malaysia)

Co-researchers: Dr. Foo Ji Jinn (MUM), Dr. Bai Li (Nottingham UK), Dr. Shalini Rajandran (IKN), Dr. Ahmad Faizal (IKN)

Funding Body: e-Science Fund, MOSTI, Malaysia

Start/End Date: 1st May. 2017 - 31st Oct. 2019

Responsibility: Liver segmentation/reconstruction, blood vessel reconstruction, cancerous area identification


Title: Real-Life Sized 3D Human Body Shape Reconstruction from 2D Images for Virtual Garment Fitting

Role: Principal Investigator

Funding Body: Industry

Start/End Date: 1st Oct. 2018 - 30th Sept. 2021

Amount: RM81,420

PhD Student: Wong Kai Wern


Other research projects that I have also been actively involved as a co-researcher include:

  • A study of 3-D geometric morphometrics for classification of human crania in Malaysia. October 2016 - May 2019. PI: Faridah Mohd Nor. Other co-researchers: Muhammad Mahadi Abdul Jamil, Mohd Swarhib.

  • Generalized Transfer Function Technique: Can We Rely on It for Blood Pressure Measurement in Clinical Diagnosis in Malaysia Hospitals? 2014 - 2016. PI: Yubing Shi. Other co-researchers: Yousif Abdalla Abakr.

Past Research

I have conducted research on 3D Terrain Reconstruction from Remote Sensing Images, 3D Face Reconstruction from Single 2D Images, Automatic Landmarks Detection and Placement on 3D Cranio-Facial Data, and some preliminary work on Computer-Aided Anthropology in Forensic Science. I also co-researched on Mobile Robot Localization and Vision-based Techniques.

Future Research

With my previous research experience in 3D reconstruction and 3D vision data processing, and my current interest on example based modeling, I would hope to explore and solve research problems with applications to Geophysical Science, Forensic Science, Medical Image Analysis/Retrieval and any other related areas that can make full use of vision and image analysis, statistical learning, and pattern recognition techniques.

You are welcome to collaborate with me if you can see any possibilities that I can contribute to your research areas.

Computer Vision Laboratory

The University of Nottingham
Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB

telephone: +44 (0) 115 8466543