Profile - Dr. Muhammad Ashraf

Qualification

Ph.D. (2018)
Information Security, WSN
Sungkyunkwan University(SKKU), South Korea

Teaching Courses

IoT, Information Security

Teaching Method

Collaborative Learning
Gamification
Visual, Audio, & Kinesthetic Teaching
Inquiry-Based Learning

Research Interest

IoT, Cyber Security

Membership

Pakistan Engineering Council

Academic & Social Links

Google Scholar ID

Muhammad Ashraf received a Ph.D. degree in Electrical and Computer Engineering from Sungkyunkwan University, Korea in 2019, and B.E. and M.S. degrees in Computer Systems Engineering from Balochistan University of Engineering and Technology, Pakistan and the University of Engineering and Technology Taxila, Pakistan in 2007 and 2013, respectively. He is currently an Assistant Professor in Balochistan University of Information Technology, Engineering and Management Sciences, Pakistan. His research interests include wireless networks, intelligent systems and enterprise resource planning.

Publications

A machine learning-based model for the detection of skin cancer using YOLOv10

Bushra Shaukat Ali, Haidawati Nasir, Akbar Khan, Muhammad Ashraf, Syed Muhammad Akbar (2024) 2024 IEEE 8th international conference on signal and image processing applications (ICSIPA) vol. - no. - pp. 1-6

Context Drive: Towards a Functional Scenario-Based Testing Framework for Context-Aware Applications

AND MUHAMMAD BILAL AAMIR MEHMOOD MIRZA, MUHAMMAD NAEEM AHMED KHAN, RAJA ASIFWAGAN, MUHAMMAD BUX LAGHARI, MUHAMMAD ASHRAF,MUHAMMAD AKRAM (2021) IEEE Access vol. 9 no. 1 pp. 80478-80490

Improving TICK efficiency by GA-based fuzzy membership functions optimization in Wireless Sensor Networks

Akbar Khan and Muhammad Qasim Tae Ho Cho, Muhammad Ashraf, Muhammad Akram, Hamayoun Shahwani,Syed Attique Shah, Sorat Khan, Faizullah Khan (2021) Journal of Applied and Emerging Sciences vol. 11 no. 1 pp. 102-107

Analysis of Digital Video Broadcast Second Generation Satellite (DVB-S2) for Simultaneous Voice Communication & TV Broadcas

Bakhtiar Khan Kasia Niamat Ullah Shah, Hamayoun Shahwani, Syed Attique Shah, Mohammad Imran, Muhammad Ashraf , Muhammad Akram, Muhammad Qasim, Zahid Rauf (2021) Journal of Applied and Emerging Sciences vol. 11 no. 1 pp. 42-46

D-GENE: Deferring the generation of power sets for discovering frequent itemsets in sparse big data

Muhammad Yasir, Muhammad Asif Habib, Muhammad Ashraf, Shahzad Sarwar, Muhammad Umar Chaudhry, Hamayoun Shahwani, Mudassar Ahmad, CH Muhammad Nadeem Faisal (2020) IEEE Access vol. 8 no. - pp. 27375-27392

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Work Experience

January 2013 to Date
Associate Professor at Computer Engineering
BUITEMS, Quetta

February 2024 to August 2026
Chairperson at Computer Engineering
BUITEMS, Quetta

August 2019 to February 2022
Chairperperson at Software Engineering
BUITEMS, Quetta