About Our Team

All academic staff in CAIRO are research active and have extensive knowledge and expertise accumulated over time, many of whom are leading experts in their chosen fields of specialization.
Hazlina Selamat, Director
  • Controllers 100%
  • Particle Swarm Optimization 50%
  • Engines 30%
  • Neural Networks 26%
  • Genetic Algorithms 26%

Hazlina Selamat

Associate Professor, Professional Engineer, PhD, Director of CAIRO

Email: hazlina@utm.my

Research profile:https://pure.utm.my/en/persons/hazlina-selamat

Assoc Prof Ir Dr Hazlina Selamat is an Associate Professor and a Professional Engineer. She has been lecturing at the Electrical Engineering Faculty, Universiti Teknologi Malaysia (UTM) since the year 2000. She obtained her PhD and MEng. in Electrical Engineering from Universiti Teknologi Malaysia in 2007 and 2000 respectively. Before that, she received a full scholarship from Malaysian Public Service Department (JPA) to do her A-Levels in Roedean School, Brighton, England (1993-1995) and her first degree in Electrical & Electronics Engineering at Imperial College of Science, Technology and Medicine, University of London (1995-1998). Her principal areas of interest are adaptive control, online system identification and application of control to the high-order and nonlinear systems such as the high-speed railway vehicle suspension system.

She has been with the Centre for Artificial Intelligence & Robotics (CAIRO), since the year 2005. Currently, her active research projects include developing the optimization engine for an energy management system (UTM’s Flagship Grant), pre-commercialization of the retrofit fuel injection kit for carburetor engines, FuelGainKitTM (Lab2Market Grant), crowd modeling project (Research University Grant) and mentoring the IIUM project on the real-time detection of human affective state for human-robot interaction (RACE Grant).

She is also the Corporate Member of the Institution of Engineers Malaysia (IEM) and the Member of the Control System Society of the Institution of Electrical & Electronic Engineers (IEEE).

Rubiyah Yusof
  • Controllers 100%
  • Neural Networks 96%
  • Genetic Algorithms 70%
  • Feature Extraction 40%
  • Classifiers 38%
  • Fuzzy Logic 30%

Rubiyah Yusof

Professor, PhD

Email: rubiyah.kl@utm.my

Research Profile:https://pure.utm.my/en/persons/rubiyah-yusof

Professor Dr Rubiyah Yusof is currently the Dean of Malaysia-Japan Institute of Technology located at Universiti Teknologi Malaysia (UTM), Kuala Lumpur and previously she was the Director of CAIRO. She received her BSc. (Hons.) in Electrical and Electronics Engineering from University of Loughborough, United Kingdom in 1983 and Masters Degree in Control Systems from Cranfield Inst. Of Tech., United Kingdom in 1986. She obtained her PhD in Control Systems from the University of Tokushima, Japan in 1994. Throughout her career as senior lecturer and researcher in UTM Professor Dr Rubiyah Yusof has been acknowledged for her many contributions in Artificial Intelligence, Process Control and Instrumentation design. She is recognized for her work in biometrics systems, such as KenalMuka (Face Recognition System) and Signature Verification System which won both national and international awards. She is the author of the book Neuro-Control and its Applications published by Springer Verlag, in 1995 which was translated to Russian in 2001. Professor Dr Rubiyah Yusof is a member of AI Society Malaysia, Instrumentation and Control Society Malaysia, and Institute of Electrical and Electronics Engineers Malaysia.

Mohd Fauzi Othman
  • Controllers 100%
  • Energy Storage 93%
  • Costs 93%
  • Neural Networks 65%
  • Economics 63%

Mohd Fauzi Othman

Associate Professor, PhD

Email: mdfauzi@utm.my

Research Profile:https://pure.utm.my/en/persons/mohd-fauzi-othman

Associate Professor Dr Mohd Fauzi Othman is currently a senior lecturer at the Faculty of Engineering, Universiti Teknologi Malaysia (UTM). He obtained his Bachelor of Mathematic (B.Math) in Applied Math from University of Wollongong, Australia in 1990 and Master of Electrical Engineering in Electrical Power System from UTM in 1996. Dr Mohd Fauzi received his PhD in Control System from the University of Sheffield in 2004 with thesis title “A Hybrid Systems Approach to Control and Fault Detection and Accommodation in Power Systems”. Dr Mohd Fauzi is a co-author of a book chapter entitled “Fault Diagnosis in Power Distribution Network Using Adaptive Neuro-Fuzzy Inference System (ANFIS)” of the book “Fuzzy Inference System – Theory and Applications” published by InTech. He is a member of Institute of Electrical and Electronics Engineers Malaysia (IEEE) and Society of Industrial and Applied Mathematics (SIAM).

Ahmad Athif
  • Controllers 100%
  • Pneumatic Actuators 74%
  • Actuators 67%
  • Robotics 50%

Ahmad ‘Athif Mohd Faudzi

Associate Professor, Professional Engineer, PhD

Email: athif@utm.my

Reseach Profile:https://pure.utm.my/en/persons/ahmad-athif-mohd-fauzi

Associate Professor Ir Dr Ahmad Athif received his B. Eng. and the M. Eng. degrees from Universiti Teknologi Malaysia, Malaysia and the Dr. Eng. in System Integration from Okayama University, Japan in 2004, 2006, and 2010 respectively. He is now attached in Department of Mechatronics and Robotics Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia as a Senior Lecturer. He is mainly engaged in the research fields of pneumatic actuators, soft actuators, robotics automation and their applications. He is a member of the Japan Society of Mechanical Engineers, IEEE Robotics and Automation Society, Board of Engineers Malaysia and Institute of Engineers Malaysia.

Yeong Che Fai
  • Mobile Robots 100%
  • Patient Rehabilitation 90%
  • Robotics 97%
  • Sensors 43%
  • Controllers 32%

Yeong Che Fai

Senior Lecturer, PhD

Email: cfyeong@utm.my

Research Profile:https://pure.utm.my/en/persons/che-fai-yeong

Dr Yeong Che Fai is currently a Senior Lecturer in Universiti Teknologi Malaysia. He graduated his PhD in Bioengineering in Imperial College London. He is well-associated with robotics in Malaysia as he has participated and won many robotics competition nationally and internationally such as ROBOCON, Robofest, Philips Young Inventor Challenge and Innovate Malaysia Design Competition. He provide consultancy and training services on embedded system and automation. His other research interests include micro-surgical training simulator, haptic devices, entertainment robots and autonomous mobile robot.

Yeong Che Fai
  • Controllers 100%
  • Autonomous Underwater Vehicle 60%
  • Pneumatic Actuators 37%
  • Manipulators 35%
  • Robotics 40%

Zool Hilmi Ismail

Senior Lecturer, Professional Engineer, PhD

Email: zool@utm.my

Research Profile:https://pure.utm.my/en/persons/zool-hilmi-ismail

Ir Dr Zool Hilmi Ismail is currently a Senior Lecturer in Universiti Teknologi Malaysia.He received the B. Eng. and the M. Eng. degrees from Universiti Teknologi Malaysia, Malaysia and the Dr. Eng. in Electrical Engineering from Heriot-Watt University, Edinburgh, United Kingdom in 2004, 2006, and 2011 respectively.He is a member of The Institution of Engineers Malaysia,Board of Engineers Malaysia, IEEE, IEEE Oceanic Engineering Society and IEEE Control systems Society, Asian Control Association, and Society for Underwater Technology. His research interest is perceptual robots, adaptive robust control, unmanned vehicle and redundant robots.

Kumeresan
  • Controllers 100%
  • Helicopters 63%
  • Backstepping 50%
  • Stabilization 45%

Kumeresan A. Danapalasingam

Senior Lecturer, PhD

Email: kumeresan@utm.my

Research Profile:https://pure.utm.my/en/persons/kumeresan-adanapalasingam

Dr. Kumeresan was born in Kuala Lumpur in 1981. He obtained his primary and secondary educations in Gombak, Selangor. After earning his degree in Bachelor of Engineering (Electrical – Mechatronics), he was appointed as a tutor in the Department of Control & Mechatronics Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia in 2003. In 2005, he was promoted to lecturer after completing his studies in Master of Engineering (Electrical – Mechatronics & Automatic Control). Dr. Kumeresan was then awarded a scholarship by the Ministry of Higher Education, Malaysia to pursue his Ph.D. at the Aalborg University, Denmark. During the doctoral program, Dr. Kumeresan had the opportunity to spend some time conducting research at the Georgia Institute of Technology, United States. Upon the completion of Ph.D. in Electrical & Electronic Engineering, he was appointed as a senior lecturer in 2012.

Mohd Ibrahim Shapiai
  • Neural Networks 100%
  • Learning Systems 57%
  • Classifiers 57%
  • Particle Swarm Optimization 45%
  • Electroencephalography 38%

Mohd Ibrahim Shapiai

Senior Lecturer, PhD

Email: md_ibrahim83@utm.my

Research Profile:https://pure.utm.my/en/persons/mohd-ibrahim-shapiaiabdrazak

 

Research Officers