Director's Profile


 Prof. Dr. Mohammad Iqbal B. Omar

 Director of University Health Centre (PKU UniMAP) 

  • Started as Medical Officer U3 at Accident & Emergency Department Hospital UKM Bandar Tun Razak Cheras Kuala Lumpur and was responsibled leading tertiary/teaching hospital in KL with 780 bedded facility since July 1998-July 1999.

  • Increases more knowledges and expriences as full time clinical trainee for six months at Geriatric ward University Malaya Medical Center Kuala Lumpur at 2004.

  • 2005 was appointed as Medical Consultant at Universiti Malaysia Perlis. He was responsibled to assist university administration in planning and implemention of seting up the Health Clinic, recruitment of clinical staff and acquiring medical equipment and supervised of clinical staff to assure utmost professionalism in discharging their duties. 

  • August 2008 till now he was holding a post as a Professor in Department of Biomedical Engineering UniMAP

  • November 2008 till nou he also was appointed as a Director of University Health Centre, UniMAP. He were responsibled to provide primary health cares including emergency care services to the campus population which meet national and international health care standards. Planning & implementation of health related activities of university throughout the year . Responsible to plan and implement income generating program for Health centre. As a head of department responsible for management, providing continuous medical education and 3 evaluation of 40 medical staff working for the health centre and its 2 branches.

  • Prof. Dr. Mohammad Iqbal also known and famous person which is very kind and cold heart. He was participated as Mercy Malaysia Vonlunteer since 2008 and now he have been exprienced in humanitarian and medical around the world.  Such as  humanitarian assistance to victims of Pakistan earth quake, collaboration with UNHCR operate monthly Mobile Health Clinic to Rohingya refugees clusters. volunteer medical coordinator to provide medical and other humanitarian assistance to victims of NARGIS Cyclone. -Collaborated with Myanmar Medical Association to share disaster management experience to local medical professionals. -Collaborated with ‘Save the Children’ to recruit local doctors and nurses and to operate mobile clinics in cyclone affected areas.   Serves as volunteer medical officer to provide medical and other humanitarian assistance to victims of West Sumatra earth quake.provide medical and other humanitarian assistance to victims affected by tsunami at Mentawai Islands, West Sumatra , Idonesia, Japan Earth Quake/ Tsunami, Health need Assessment of IDP in Benghazi, Benghazi, Libya

Certification (Education)
  • MBBS Institute Of Medicine (1) Yangon 1985

  • Post Graduate Diploma in Reproductive Medicine (DRM) - Universiti Putra Malaysia - 1995

  • Master of Medicine (MMeD) specialisation in Geriatric Medicine - Edith Cowan University Australia - 2004


Profile Publicity


  • Hybrid PSOGSA Algorithm and Nonlinear Features for Prediction Body Mass Index (BMI) from Speech Signals (Read)

  • A prevalence study of dysmenorrhoea among university students (Read)

  • Emotion processing in Parkinson's disease: An EEG spectral power study (Read)

  • Clinical study of the treatment of cerebral malaria with artemether (qinghaosu derivative) (Read)

  • The Views of Older Malaysians on Advanced Directive and Advanced Care Planning: A Qualitative Study (Read)

  • In-vitro diagnosis of single and poly microbial species targeted for diabetic foot infection using e-nose technology (Read)

  • Feature extraction techniques using multivariate analysis for identification of lung cancer volatile organic compounds (Read)

  • Feature reduction using locally linear embedding for classification muscle fatigue (Read)

  • Mercy Malaysia’s Response to the 2015 Myanmar Floods (Read)

  • Prediction of body mass index (BMI) using speech signals with wavelet packet based features (Read)

  • Rapid Bacteria Identification Using Multivariate Classifier on Diabetic Foot Infection (Read)

  • Time Domain Features Based Sudden Cardiac Arrest Prediction Using Machine Learning Algorithms (Read)