
Prof. Dr Nadeem Ahmad
Dual PhD (Computer Science)
Politecnico di Torino, Italy and University of Potsdam, Germany
MSc (Computer Science)
Punjab University College of Information Technology, Lahore, Pakistan.
Email: nadeem.ahmad@iqraisb.edu.pk
Biography:
Prof. Dr. Nadeem Ahmad is educational leader, scientist and researcher in Software Engineering. He has completed his dual PhD in Computer Science from Politecnico di Torino, Italy, and the University of Potsdam, Germany, in 2014. With over 21 years of experience in teaching, research, administration, and management, he has served in numerous national and international organizations.
He currently holds the position of Associate Dean/Professor in the Faculty of Computing and Technology at Iqra University Islamabad. Previously, he worked as the Director of the People-Centered Technology Research Lab and as an Associate Professor in the Faculty of IT at the University of Central Punjab, Lahore. He also served as the Pro-Vice Chancellor and Professor of Computing at the University of Sialkot, where he played a pivotal role in corporate planning. His leadership roles include heading the Computer Science department at Superior University, Lahore, for two years and leading the Computer Science and IT Department at The University of Lahore for three years, where he established numerous labs, including a research lab for PhD scholars.
In academic leadership, Dr. Nadeem Ahmad has been instrumental in curriculum design, initiating new graduate degree programs across various faculties, and launching BS and MS Data Science programs in the Faculty of Information Technology. He has overseen the accreditation process for undergraduate degree programs from NCEAC multiple times, upgraded university infrastructure, participated in faculty recruitment, and established state-of-the-art labs. He has also revised curricula for various BS programs in Computer Science, Software Engineering, and Artificial Intelligence. His contributions extend to conducting faculty training programs, where course outlines were revised in line with ACM curriculum guidelines. He boasts extensive networking experience with research groups, industry stakeholders, and academia. He has been a part of various statutory bodies in multiple universities, serving on their Board of Advanced Studies and Research, Academic Council, and Board of Faculty. He is a program evaluator for NCEAC, an approved supervisor for HEC, and a member of IEEE.
Leading the People-Centered Technology research group, Dr. Nadeem Ahmad has supervised over ten MS and PhD students. He has published 28 papers in esteemed journals and international conferences. His work on the usability analysis of mHealth applications culminated in a book chapter published in January 2022 titled “HCI and beyond: advances towards smart and interconnected environments,” in collaboration with researchers from the University of Cincinnati, United States. His research primarily focuses on societal transformation through digital technologies, health informatics, mobile health (mHealth) applications, usability of health applications, standards and ranking of mobile health applications, user-centered design, people-centered adaptive interfaces, usability barriers, helpful interfaces, ICT for development, accessibility, and visual design.
Selected Publications:
1. N. Ahmad, I. Feroz and F. Ahmad (2024) Creating synthetic test data by generative adversarial networks (GANs) for mobile health (mHealth) applications, Forthcoming networks and sustainability in the AIoT era, second international conference FoNeS-AIoT 2024 - Volume 1, Lecture notes in networks and systems (LNNS), Volume 1035, pp. 322-332, Cham: Springer Nature Switzerland, E-ISSN: 2367-3389.
https://doi.org/10.1007/978-3-031-62871-9_25
2. I. Feroz and N. Ahmad (2022), Usability based rating scale (UBRS) for evaluation of mobile health (mHealth) applications. HCI and beyond: advances towards smart and interconnected environments. Vol. 2, Bentham science publishers. pp:27-48, ISBN: 978-981-5036-40-4, 2022. https://doi.org/10.2174/9789815036398122010005
3. A. Sami; F. Malik; QW. Khan; N. Ahmad; S. Shah; M. Elaffendi; N. Ahmad (2024). Federated Learning for Sarcasm Detection: A Study of Attention-Enhanced BILSTM, GRU, and LSTM Architectures. IEEE access, vol. 12, pp. 196786-196802, 2024, ISSN: 2169-3536.
https://doi.org/10.1109/ACCESS.2024.3520659
4. Feroz and N. Ahmad (2024). Systematic Review of Usability Factors, Models, and Frameworks with Blockchain Integration for Secure Mobile Health (mHealth) Applications. Blockchain in healthcare today journal, volume 7, issue 3. Published by partners in digital health. ISSN: 2573-8240.
https://doi.org/10.30953/bhty.v7.357
5. W. Iqbal, N. Ahmad, K. Shahzad, R. Naqvi, B. Ayub and Z. Ali (2021), User context ontology for adaptive mobile-phone interfaces, in IEEE access, ISSN: 2169-3536, Vol. 9, pp: 96751-96762, I.F= 3.476.
https://doi.org/10.1109/ACCESS.2021.3095300
6. N. Ahmad, U. Shoaib and P. Prinetto (2015), Usability of online assistance from semi-literate Users' perspective, International journal of human-computer interaction. ISSN: 1532-7590, Vol. 31, Issue 1, pp: 55-64, I.F= 3.353.
http://dx.doi.org/10.1080/10447318.2014.925772
7. U. Shoaib, N. Ahmad, P. Prinetto and G. Tiotto (2014), Integrating multiWordNet with Italian sign language lexical resources, Expert systems with applications, ISSN 0957-4174, Vol. 41, Issue 5, pp: 2300-2308, I.F= 8.665.
http://dx.doi.org/10.1016/j.eswa.2013.09.027
8. N. Ahmad and J. Siddique. (2017), Personality assessment using Twitter tweets. 21st International conference on knowledge-based and intelligent information & engineering Systems, Marseille, France, Sep 6-8, 2017. Procedia computer science, Vol. 112, ISSN 1877-0509, pp 1964-1973.
http://dx.doi.org/10.1016/j.procs.2017.08.067