- info@mnsuet.edu.pk
- +92-61-9330592
- Mon - Fri : 08.00-17.00
- QasimPur Colony, BCG Chowk, Multan, Punjab, Pakistan
TAHIR ABBAS KHAN (Senior Member IEEE) is currently working as an Assistant Professor, Department of Communication and Cyber Security at Bahauddin Zakariya University, Multan. Khan completed his Ph.D. from the National College of Business Administration & Economics (NCBA&E), Lahore, Pakistan, by obtaining a scholarship award from the Workers Welfare Fund (WWF), Islamabad, Pakistan, in 2023. Khan also completed his MS in Electronics Engineering from International Islamic University, Islamabad (IIUI), Pakistan, in 2010 by obtaining a scholarship award from the Punjab Information & Technology Board (PITB), Govt. of Punjab Pakistan 2010 and also did MS (CS) & BS (CS) degrees from the Virtual University (VU) of Pakistan, Lahore in 2020 & 2007 respectively. Before joining the University mentioned above, Khan worked in various academic and industrial roles in Pakistan. Khan has taught graduate and undergraduate students for the past 9 years. So far, Khan has successfully supervised 02 PhD., 01 M.Phil. & 12+ undergraduate students. Presently, Khan is guiding 04 Ph.D. scholars and 02 M.Phil. Scholars and guiding 04 Ph.D. scholars and 04 M.Phil. Scholars as a Co-supervisor. Khan has published over 90+ research articles with a cumulative Google Scholar Citation Score of 2250+ in reputed International Journals and International Conferences. Khan’s research interests primarily include AI (Machine Learning/Deep Learning), Computer vision, Image Processing & Medical Diagnosis, Cyber Security, Federated Learning, etc.
1. 9+ Years of Teaching Experience: I have 9+ years of teaching experience and have taught various courses at the undergraduate and graduate levels, as mentioned in Section 6 (a). Moreover, I have designed the curriculum for various classes for Computer Science, Software Engineering, and Information Technology degrees at both undergraduate and graduate levels.
2. 6+ Years of Software Industry Experience: I also have 6+ years of professional software development experience.
3. Research Proposal Writing & Funding Acquisition Experience: I have good experience writing research project proposals, along with international collaborators, on various research topics and acquiring funding from national and international funding organizations.
4. International Collaboration Experience: I have international collaboration experience on different research projects in the UK, UAE, KSA, Qatar, USA, Canada, South Korea, South Africa, Pakistan, and China, as reflected in my publications.
5. Supervision Experience: I supervise and co-supervise (4 + 4) = 8 Ph.D. and 2 MPhil thesis in the Computer Science Department at TIMES University, Multan, Pakistan. As mentioned in the experience section, I have successfully supervised 02 Ph.D. students and 01 M.Phil. student.
6. Participation in Thesis and Oral Examination Committees: I have participated in 8 Ph.D., 20+ M.Phil./MS, and 35+ undergraduate thesis and oral examination committees.
7. Keen Interest in Experimentation: I have a great passion for experimentation—especially on real systems and software services—and therefore strongly believe that my interest in practical work, along with my academic research and industry background experience and expertise, will bring a competitive advantage to the project.
8. Accumulated JCR-IF=45+: An accomplished researcher in machine learning, deep machine learning, disease diagnoses, digital healthcare, and medical image processing.
9. HEC Approved Supervisor: Higher Education Communication Pakistan approved supervisor in physical sciences.
10. Member: Senior Member IEEE , Lahore Section, Pakistan, R10 -Asia and Pacific. (SM ID: Member #99608805)
11. H-index: 24, I-index: 40, and Total Citations: 2250+
12. Best University Researcher Award, TIMES University, Multan, Pakistan, 2023-2024.
As a Principle Investigator
➢ Fused Federated Learning with deep machine learning based smart healthcare system, Workers Welfare FUND (WWF), Labour & HR department, Government of Pakistan, 2020-2023. (Proj No: OTS-20237210, Amount: 1400,000 PKR=23,300 USD, Completed).
➢ Robust OFDM-based MC-CDMA System. Punjab Information Technology Board, Government of Pakistan, 2007-2010. (Proj No: OTS-201047212, Amount: 700,000 PKR=11,650 USD, Completed).
➢ Topology Aware Load Balancing in Data Center Networks With Machine learning Approaches, Punjab Workers Fare Fund, Lahore, Pakistan. (Project No: 105-2016, Amount: 1046,000 PKR=10,000 USD, Completed).
As a Co-Investigator
1) Internet of Medical Things-based smart Healthcare System. This project is funded by UJ-02-032-DR, funding provided by the University of Jeddah, Jeddah, Saudi Arabia
2) Multidisciplinary cancer disease classification using adaptive FL in the healthcare industry 5.0. This Project was funded by the Weill Cornell Medicine—Qatar Health Sciences Library.
3) Secure IoMT for Disease prediction empowered by Transfer learning. The Qatar National Library supported this work.
ACADEMIC/PROFESSIONAL PARTICULARS
(a) Field of Specialization:
• Machine & Deep Learning, Federated Machine Learning, Fused Federated Learning, Cyber Security, Medical Imaging, Image Segmentation, and Smart Healthcare.
(b) Academic Qualifications
Ph.D., Computer Science 2023
Specialization: Artificial Intelligence in smart healthcare
National College of Business Administration & Economics (NCBA&E), Lahore, Pakistan.
Thesis: Fused Federated Learning with Deep Extreme Machine Learning Based Intelligent System for Disease Prediction in a Smart Health Care 5.0
(https://www.hec.gov.pk/english/services/students/PCD/Pages/online_Application_PCD_No.aspx)(Ph.D. Country Directory #30495)
CGPA: 3.90/4.00
MS, Computer Science
Virtual University of Pakistan, Lahore, Pakistan.
2020
Thesis: Topology Aware Load balancing in datacenter networks
CGPA: 3.73/4.00
MS, Electronic Engineering
International Islamic University, Islamabad, Pakistan.
2010
c) Academic Honors and Awards
1. Outstanding Talented Scholarship (OTS) from the Punjab Information Technology Board, Government of Pakistan, 2007-2010.
2. Talent scholarship from Punjab Workers Welfare Fund, Lahore, Pakistan, 2016-2018.
3. Talent scholarship from Workers Welfare Fund (WWF), Labour & HR Department Lahore, Pakistan, 2020-2023.
5. EXPERIENCE
a) Academic Positions Held
Assistant Professor September 2025 to date
Department of Communication and Cyber Security, Bahauddin Zakariya University, Multan, Punjab, Pakistan.
Assistant Professor August 2023 to July 25
Department of Computing, TIMES University, Multan, Punjab, Pakistan.
Instructor /Lecturer Feb. 2012 to Jan 2017
Punjab Workers Welfare Fund (PWWF), Labour & HR Department, Govt. of Punjab, Pakistan.
Lecturer Nov. 2007 to Feb. 2012 University of Management & Information Technology, AIOU Campus, Rawalpindi, Pakistan.
b) Administrative Positions Held
Head of Department (Computing & IT) Jan. 2010 to Feb.2012
University of Management & Information Technology, Rawalpindi, Pakistan.
c) Membership in Professional Bodies
1. Senior Member of IEEE, Lahore Section, Pakistan. (99608805), Joining Date: 01/2023.
Thesis: Robust OFDM-based MC-CDMA System.
CGPA: 3.20/4.00
BS, Computer Science
Virtual University of Pakistan, Lahore, Pakistan.
2007
Project: Courier Management System.
CGPA: 2.94/4.00
2. HEC, Pakistan Ph.D. Approved Supervisor (Physical Sciences), Joining Date: 10/2023.
https://scholar.google.com/citations?hl=en&user=hgevkxMAAAAJ&view_op=list_works&sortby=pubdate
(Ph.D.) Rabia Javid (Reg. # MC-PHDCS-219-003), “Internet of Medical Things (IoMT) Enabled Intelligent System for Chronic Disease Prediction Using Deep Machine Learning In Healthcare 5.0”.
• (Ph.D.) Atif Raza Zaidi (Reg. # MC-PHDCS-219-001), “Detection of Android Malware Using Deep Learning”.
• (M.Phil.) Aiman Fatima (Reg. # MC-MSCS-219-005), “Detecting Breast Cancerous Cells using Deep Learning Technique”.
• (M.Phil.) M. Atif (Reg. # MC-MSCS-233-001), “Disease classification using Semi Supervise Learning”.
• (BS/MCS/MSC) Supervised more than 10 students in different areas of Computer Science and Electronics Engineering.
(Mon - Fri : 08.00-16.00)
MNS University of Engineering and Technology (MNSUET) Multan offers a perfect blend of academic excellence, modern infrastructure, and industry-oriented programs. With highly skilled faculty, innovative research opportunities, and a vibrant campus life, MNSUET empowers students to achieve professional success and contribute to technological and societal advancement.