Military College of Signals
Faculty Ihtesham Ul Islam

Ihtesham Ul Islam

Associate Professor
  • Military College of Signals
  • 051927028
Summary

Dr. Ihtesham ul Islam is currently working as an Associate Professor at the Department of Computer Software Engineering, Military College of Signals -MCS, National University of Sciences and Technology-NUST, Pakistan. Dr. Ihtesham specializes in computer vision and AI research. He obtained his PhD in Computer & Control Engineering from Politecnico di Torino, Italy, in 2015, his MS in Electronics and Communication Engineering from Myongji University Korea in 2009, and his BS in Computer Engineering from UET Peshawar, Pakistan in 2006. With over 15 years of experience, he has taught a wide range of subjects including Digital Image Processing, Artificial Intelligence, Design and Analysis of Algorithms, Data Structures & Algorithms, Computer Architecture, Computer Logic Design, Computer Programming, Object-Oriented Programming, Microprocessor-based System design, Operating Systems, Digital Signal Processing, Signals & Systems, Machine Learning, Professional Practices, Software Design and Architecture, and Software Construction. His research interests include medical image and signal analysis, kinship recognition, face recognition, fingerprint recognition, multi-modal biometric recognition in the wild, crowd behavior modeling, and prediction analytics in healthcare. Dr. Ihtesham is actively involved in supervising research students, publishing impactful research papers, and participating in funded projects. He participated as Co-principal investigator on an international project IBN@TEIN (worth 150K Euros) in 2022-23, focusing on AI applications in intelligent networks. This project was funded by Asi@Connect and involved collaboration with partners from Korea, Malaysia, Cambodia, and Pakistan. Currently, he serves as the principal investigator of an internally funded research project AI-GDMP (worth 23M PKR) granted by AI-SAROSH (supported by IDRC Canada) in its Grant cycle 2023. The project aims to advance maternal health with AI technologies.

Academic Background
PhD (Computer Vision And Artificial Intelligence) Polytechnic Institute of Turin March 05, 2012 - February 24, 2015
Honours and Awards
Publications
Explainable AI (XAI) for Dysarthric Speech Detection Using Sequential Attention and Convolutional-Temporal Frameworks on Consumer Healthcare Devices July 27, 2026 IEEE transaction on consumer electronics - Accepted
Secure and Explainable Federated Learning for IoT Intrusion Detection: A Comprehensive Survey April 14, 2026 IEEE Open Journal of Communications Society - Volume:7, Page:3650-3679
Dataset-centric evaluation of federated intrusion detection models in IoT networks January 21, 2026 Scientific Reports - Volume:16, Issue:1, Article Number: 2683
Federated Learning With Explainable AI for Malicious Traffic Detection in IoT Networks October 10, 2025 IEEE Access - Volume:13, Page:173368-173383
SAPER-AI accelerator: systolic array based power-efficient reconfigurable AI accelerator September 16, 2025 Frontiers of Information Technology & Electronic Engineering - Volume: 26, Pages:1624-1636
Transforming healthcare through just, equitable and quality driven artificial intelligence solutions in South Asia March 05, 2025 npj Digital Medicine - Volume:8, Issue:1, Article Number: 139
Multi-feature-based crowd video modeling for visual event detection August 01, 2021 Multimedia Systems - Volume 27, Pages 589-597
Fast Codebook Generation Using Pattern Based Masking Algorithm for Image Compression July 19, 2021 IEEE Access - Volume 9, Pages 98904-98915
Energy-efficient auto-scaling of virtualized network function instances based on resource execution pattern December 01, 2020 Computers & Electrical Engineering - Volume 88, Article Number 106814
Towards the automatic segmentation of HEp-2 cells in indirect immunofluorescence images using an efficient filtering based approach December 01, 2020 Multimedia Tools and Applications - Volume 79, Pages 34325-34337
An efficient SDN‐based LTE‐WiFi spectrum aggregation system for heterogeneous 5G networks April 15, 2020 Transactions on Emerging Telecommunications Technologies - Pages 1-16, Article Number e3943.
Towards 5G network slicing for vehicular ad-hoc networks: An end-to-end approach January 01, 2020 Computer Communications - Volume 149, Pages 252-258
Energy loss prediction in nonoriented materials using machine learning techniques: A novel approach November 12, 2019 Transactions on Emerging Telecommunications Technologies - Article Number e3797, Pages 1-7
Spatio-temporal sEMG image enhancement and motor unit action potential (MUAP) detection: algorithms and their analysis October 01, 2019 Journal of Ambient Intelligence and Humanized Computing - Volume 10, Pages 3809-3819
Traffic priority based delay-aware and energy efficient path allocation routing protocol for wireless body area network October 01, 2019 Journal of Ambient Intelligence and Humanized Computing - Volume 10, Pages 3775-3794
Deep learning in big data analytics: a comparative study May 01, 2019 Computers & Electrical Engineering - Volume 75, Pages 275-287
Future of Big Data and Deep Learning for Wireless Body Area Networks December 31, 2018 Book on Deep Learning: Convergence to Big Data Analytics - Chapter 5, Pages 53-77
Fusion of Color and Depth Information for Facial Recognition using a Multi Perspective Approach November 01, 2017 Proceedings of the Pakistan Academy of Sciences: Part A-Physical and Computational Sciences - Volume 54(4), Pages 365-374
Illumination normalization using independent component analysis and filtering June 15, 2017 Imaging Science Journal - Volume 65, No. 5, Pages 308-313
Geometric and Textural Cues for Automatic Kinship Verification February 09, 2015 International Journal of Pattern Recognition and Artificial Intelligence - Volume 29, No. 3, Article Number 1556001 (18 pages)
Robust multi-scale orientation estimation: Directional filter bank based approach September 01, 2014 Applied Mathematics and Computation - Volume 242, Pages 814-824
Subclass discriminant analysis of morphological and textural features for hep-2 staining pattern classification July 01, 2014 Pattern Recognition - Volume 47, Issue 7, Pages 2389-2399
Conferences
Enhancing Trust in Maternal Health Predictions Through Explainable AI with Quantitative Assessment April 09, 2026 - April 10, 2026 Maria Muzaffar, Ihtesham Ul Islam, Muhammad Sohail, Maemoona Farooq, Muhammad Tauseef Rana, 2026 IEEE 5th International Conference on Computing and Machine Intelligence (ICMI)
Hybrid MCTS and Greedy Beam Search for Chunk Optimization in RAG December 15, 2025 - December 16, 2025 Shehla Farooq, Naima Iltaf, Ihtesham Ul Islam, 22nd International Conference on Frontiers of Information Technology (FIT'25)
An Explainable Machine Learning Approach for Early Prediction of Gestational Diabetes Mellitus (GDM) August 26, 2024 - August 30, 2024 Muhammad Aatif, Ihtesham Ul Islam, Naima Iltaf, Hammad Afzal, International Conference on Asia Pacific Advanced Network
Unsupervised Cross-Domain Adaptation through Mutual Mean Learning and GANs for Person Re-identification February 22, 2023 - February 23, 2023 IHTESHAM UL ISLAM, QAZI MAZHAR UL HAQ, Leethar Yao, Bo-Yu Lin, 3rd IEEE International Conference on Artificial Intelligence, ICAI 2023
A multi-perspective holistic approach to Kinship Verification in the Wild May 04, 2015 - May 08, 2015 Andrea Bottino, Ihtesham Ul Islam, Tiago Figueiredo Vieira, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)
The FG 2015 Kinship Verification in the Wild Evaluation May 04, 2015 - May 08, 2015 Jiwen Lu, Junlin Hu, Venice Erin Liong, Xiuzhuang Zhou, Andrea Bottino, Ihtesham Ul Islam, Tiago Figueiredo Vieira, Xiaoqian Qin, Xiaoyang Tan, Songcan Chen, Shahar Mahpod, Yosi Keller, Lilei Zheng, Khalid Idrissi, Christophe Garcia, Stefan Duffner, Atilla Baskurt, Modesto Castrillón-Santana, Javier Lorenzo-Navarro, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015
Automatic verification of parent-child pairs from face images November 20, 2013 - November 23, 2013 Tiago Figueiredo Vieira, Andrea Bottino, Ihtesham Ul Islam, Iberoamerican Congress on Pattern Recognition, CIARP 2013: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ASSOC PROF. SARHAD UNIVERSITY OF SCIENCE AND TECHNOLOGY June 01, 2015 - November 06, 2020
ASST. PROF FAST NATIONAL UNIVERSITY January 15, 2009 - March 04, 2012
LECTURER UET PESHAWAR September 01, 2006 - March 01, 2007
Associate System Engineer Northwest Research March 02, 2006 - August 16, 2006