ACADEMIC STAFF
+  Fakulti Kejuruteraan Kimia & Sumber Asli (103)
+  Fakulti Kejuruteraan Awam & Sumber Alam (57)
+  Fakulti Kejuruteraan Elektrik & Elektronik (85)
+  Fakulti Sistem Komputer & Kejuruteraan Perisian (84)
+  Fakulti Kejuruteraan Mekanikal (95)
+  Fakulti Sains & Teknologi Industri (96)
+  Fakulti Kejuruteraan Pembuatan (57)
+  Fakulti Teknologi Kejuruteraan (62)
+  Fakulti Pengurusan Industri (50)
+  Pusat Bahasa Moden & Sains Kemanusiaan (98)
 

Search by Name Expertise

Home> FTKA1000-FAKULTI KEJURUTERAAN AWAM & SUMBER ALAM

DR. MUHAMMAD @ S.A. KHUSHREN BIN SULAIMAN

Contact No. : 095493014
Gender : MALE
Nationality : MALAYSIA
Current Positon : DS52-A-PENSYARAH UNIVERSITI
E-Mail : muhammad@ump.edu.my
 
ACADEMIC QUALIFICATION
. 2012 : IJAZAH KEDOKTORAN (DOCTORAL DEGREE), UNIVERSITI KEBANGSAAN MALAYSIA, BANGI
. 1990 : Sarjana , AKRON UNIVERSITY, AKRON, OHIO
. 1986 : IJAZAH SARJANA MUDA (BACHELOR DEGREE), AKRON UNIVERSITY, AKRON, OHIO
 
EXPERTISE
EXPERT AREA MAJOR YEARS OF EXPERTISE LEVEL
ARTIFICIAL INTELLIGENCE ANN MLP NEURAL NETWORK FOR FLOOD FORECASTING
4
TINGGI
COMPUTER BASED TRAINING PROGRAMMING SYSTEM & INFORMATION SYSTEM
7
TINGGI
 
EMPLOYMENT HISTORY
EMPLOYER POST JOIN DATE RESIGN DATE STATUS
University Of Akron RESEARCH ASSISTANT/ENGINEER 01/08/1988 31/03/1991 -
Techart Sdn Bhd SOFTWARE ENGINEER 10/09/1992 31/12/1993 -
Universiti Teknologi Malaysia LECTURER 03/01/1994 01/06/1997 -
Sarjana Shoppe Owner 01/07/1997 25/04/2005 -
   
RESEARCH
NO. TITLE ROLE START DATE END DATE STATUS
1. DEVELOPMENT OF FLOOD DEPTH-DAMAGE CURVE MODEL FOR KUANTAN,PAHANG Member 15-JUN-2017 14-JUN-2019 Sedang Berjalan
2. Rain water Harvesting System for non- Portable Use at UMP Campus Member 09-JAN-2007 31-AUG-2008 Selesai
   
PUBLICATION
TYPE PUBLICATION TARIKH PENERBITAN TYPE OF CONTRIBUTION
REFEREED PUBLICATION
JOURNAL Improved Water Level Forecasting Performance by Using Optimal Steepness Coefficients in an Artificial Neural Network 01/08/2011 80%
JOURNAL Real-time flood forecasting by employing artificial neural network based model with zoning matching approach 01/11/2011 80%
   

For best view, please use Mozilla Firefox, Internet Explorer 7.0 or above with resolution 1024 x 768 pixel.

Copyright 2011 Universiti Malaysia Pahang