Directories staff

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Position

Associate Professor

Name

Assoc Prof Ts. Dr Mohd Soperi bin Mohd Zahid

Nationality

Malaysia

msoperi.mzahid@utp.edu.my

Department

Computer & Information Science

Qualifications

1988, Degree in Mathematics, Computer Science by New Mexico State University, Las Cruces, USA

1998, Master in Computer Integrated Manufacturing by Rochester Institute of Technology, New York, USA

2009, PhD in Computer Science by University of Wisconsin - Milwaukee, USA

Specialization

Internet Routing, Software Defined Network, Delay Tolerant Network, Healthcare Analytics, Smart Contract

Research

Predicting Cardiovascular Diseases Using Interpretable Machine Learning Model and Smart IoT Platform

Fast Failure Recovery of Software Defined Networks with Robustness-aware Rule Placement Scheme

Detection of Heart Diseases from Long-Term ECG Readings using Convolutional Neural Network

Resource-Aware Forwarding Schemes for Optimal Routing in Opportunistic Networks

Publications
No.	Title of Publication
1	https://scholar.google.com/citations?user=2GKyHNkAAAAJ&hl=en
2	https://scholar.google.com/citations?hl=en&user=2GKyHNkAAAAJ&view_op=list_works&authuser=1

Working Experience
No.	Position	From - To (Year)	Company Name
1	Associate Professor	2017 - Present	Universiti Teknologi PETRONAS
2	Associate Professor	2015 - 2017	Universiti Teknologi Malaysia
3	Senior Lecturer	2011 - 2015	Universiti Teknologi Malaysia
4	Lecturer	1998 - 2011	Universiti Teknologi Malaysia
5	Part-Time Web Master	2006 - 2009	Solid and Hazardous Waste Education Center, University of Wisconsin, UW – Extension, Milwauke, Wisconsin, USA
6	Tutor	1995 - 1998	Universiti Teknologi Malaysia
7	Analyst Programmer	1993 - 1995	UAC Berhad
8	Computer Programmer	1989 - 1993	UAC Berhad

Research
No.	Level of involvement	Research Title
1	Leader	Predicting Cardiovascular Diseases Using Interpretable Machine Learning Model and Smart IoT Platform
2	Leader	Fast Failure Recovery of Software Defined Networks with Robustness-aware Rule Placement Scheme
3	Leader	Detection of Heart Diseases from Long-Term ECG Readings using Convolutional Neural Network
4	Leader	Resource-Aware Forwarding Schemes for Optimal Routing in Opportunistic Networks