Dr. Nadeem Anjum

PROFILE SUMMARY

Dr. Nadeem Anjum has over 24 years of combined industrial and academic experience. He holds a PhD and an MS degree from Queen Mary University of London, UK, having received a fully funded scholarship for his doctoral studies. Currently serving as the Professor and Head of the Department of Software Engineering at Capital University of Science and Technology (C.U.S.T) in Islamabad, Pakistan, he is a Senior Member of the IEEE. Dr. Anjum actively contributes as a technical reviewer for esteemed research journals and engages in nationally and internationally funded projects. He received the Best Paper Award at the IEEE Intl. Conf. on Advanced Video and Signal-Based Surveillance (AVSS) in 2009. His research interests encompass artificial intelligence, eHealth, behavior analysis, and big data analytics.

QUALIFICATION
PhD	Computer Science	Queen Mary University of London, London	2010
MS	Computer Science	Queen Mary University of London, London	2006
MSc	Computer Science	International Islamic University, Islamabad-PK	2001

TEACHING EXPERIENCE
Professor	Capital University of Science and Technology (CUST), Islamabad	Since – 2024
Assistant Professor	Capital University of Science and Technology (CUST), Islamabad	2019 – 2023
Assistant Professor	University of Engineering and Technology, Taxila-Pakistan	2013 – 2016
Assistant Professor	Riphah International University, Islamabad-Pakistan	2010 – 2013

INDUSTRIAL EXPERIENCE
Founder Director	Stémma International (PVT) Limited	2016 – 2019
Assistant Manager	Advanced Engineering Research Organization-Pakistan	2001 – 2005

MANAGEMENT EXPERIENCE
HoD	Capital University of Science and Technology, Islamabad	Since – 2021

RESEARCH AREAS / INTERESTS
1.	Computer Vision
2.	Deep Learning for Human Activity Recognition
3.	Machine Learning
4.	Pattern Recognition

RESEARCH SUPERVISION
1.	PhD	Robust Human Behaviour Anticipation in Multiple Camera Environments
2.	PhD	A Multi-Feature Hybrid Object Tracking Algorithm
3.	PhD	Placement of drones for efficient communication in disaster regions
4.	PhD	FLAG-PDFe: Geometric and Layout Aware Methods to Extract Metadata from Digital Scientific Research Publications
5.	MS	Detection of Malicious Consumer Interest Packet While Mitigating Content Poisoning Attack with Name-Key Based Forwarding and Multipath Forwarding Based Inband Probe
6.	MS	Salient Object Detection with Deep learning
7.	MS	Multi-feature Trajectory Analysis for abnormal activity recognition
8.	MS	ECG signal analysis to identify sudden cardiac arrest
9.	MS	Trajectory clustering for video analysis
10.	MS	Anticipation of human interaction using machine learning techniques
11.	MS	Performance analysis of machine learning algorithms
12.	MS	Moving object tracking using robust Kalman filter

SR.	JOURNAL PUBLICATIONS	YEAR
1	W. Raja and N. Anjum, “Generic Features Selection for Structure Classification of Diverse Styled Scholarly Articles”, Springer Multimedia Tools and Applications, vol. 83, no. 6, pp. 16623-16655, 2024	2024
2	Waqas Raja and Nadeem Anjum, “A Hybrid Strategy to Extract Metadata from Scholarly Articles by Utilising Support Vector Machines and Heuristics”, Springer Scientometrics, vol. 128, no. 8, pp. 4349-4382, 2023.	2023
3	S. Ahmed, S. Irfan, N. Kiran, N. Masood, N. Anjum, N. Ramzan, “Remote health monitoring systems for elderly people: A survey”, Physical Sensors, vol. 23, no. 709, 2023	2023
4	S. Zaheer, N. Anjum, S. Hussain, A. D. Algarni, J. Iqbal, S. Bourouis, and S. S. Ullah, “A Multi-Parameter Forecasting for Stock Time Series Data Using LSTM and Deep Learning Model”, Mathematics, vol. 11, no. 3, 590, 2023.	2023
5	AS Khattak, N. Anjum, N. Khan, MR Mufti, N. Ramzan, “AMF-MSPF: A Retrospective Analysis with Online Object Tracking Algorithms”, Displays, vol. 76, p. 102354, 2022.	2022
6	S. Irfan, N. Anjum, T. Althobaiti, A. A. Alotaibi, A. B. Siddiqui, and N. Ramzan, “Heartbeat Classification and Arrhythmia Detection Using a Multi-Model Deep-Learning Technique”, Sensors, vol. 22, no. 15, p. 5606, 2022.	2022
7	A. Jabbar, Q. H. Abbasi, N. Anjum, T. Kalsoom, N. Ramzan, S. Ahmed, P. M. Rafiul Shan, O. P. Falade, M. A. Imran, and M. Ur Rehman, “Millimeter-Wave Smart Antenna Solutions for URLLC in Industry 4.0 and Beyond”, Sensors, vol. 22, no. 7, p. 2688, 2022.	2022
8	Jamshed, Muhammad Ali, Charalambos Theodorou, Tahera Kalsoom, Nadeem Anjum, Qammer H. Abbasi, and Masood Ur-Rehman, “Intelligent computing-based forecasting of deforestation using fire alerts: a deep learning approach”, Physical Communication, vol. 55, p. 101941, 2022	2022
9	Saad Irfan, Nadeem Anjum, Turke Althobaiti, Abdullah Alhumaidi Alotaibi, Abdul Basit Siddiqui, and Naeem Ramzan, “Heartbeat Classification and Arrhythmia Detection Using a Multi-Model Deep-Learning Technique”, Sensors, vol. 22, no. 15, 5606, 2022.	2022
10	A. Jabbar, Q. H. Abbasi, N. Anjum, T. Kalsoom, N. Ramzan, S. Ahmed, P. M. Rafi-ul-Shan, O. P. Falade, M. A. Imran, and M. U. Rehman, “Millimeter-Wave Smart Antenna Solution for URLLC in Industry 4.0 and Beyond,” Sensors, vol. 22, no. 7, p. 2688, 2022.	2022
11	S. Irfan, N. Anjum, N. Masood, A. S. Khattak, and N. Ramzan, “A Novel Hybrid Deep Learning Model for Human Activity Recognition Based on Transitional Activities”, Sensors, vol. 21, no. 24, 8227, 2021.	2021
12	A. Lakhan, Q. Mastoi, M. A. Dootio, F. Alqahtani, I.R. Alzahrani, F. Baothman, M. S. Khokar, S. Y. Shah, S. A. Shah, N. Anjum, and Q. H. Abbasi, “Hybrid Workload Enabled and Secure Healthcare Monitoring Sensing System in Distributed Fog-Cloud Network”, Electronics, vol. 10, no. 16, p. 1974, 2021	2021
13	U. Saeed, S.Y. Shah, A. Zahid, N. Anjum, J. Ahmad, M. A. Imran, Q. H. Abbasi and S. A. Shaha, “Wireless Channel Modelling for Identifying Six Types of Respiratory Patterns with SDR Sensing and Deep Multilayer Perceptron”, IEEE Sensors, vol. 21, no. 18, pp. 20833-20840, 2021.	2021
14	R. Gulbaz, A. B. Siddiqui, N. Anjum, A. A. Alotaibi, T. Althobaiti, and N. Ramzan, “Balancer Genetic Algorithm – A Novel Task Scheduling Optimization Approach in Cloud Computing”, Applied Sciences, vol. 11, no. 14, p. 6244, 2021.	2021
15	A. M. Qureshi; N. Anjum; N.B.R Rao; M. Nizami; A. Qayyum, “Detection of Malicious Consumer Interest Packet with Dynamic Threshold Values”, PeerJ Computer Science, vol. 7, p. e435, 2021.	2021
16	W. Sultan; N. Anjum; M. Stansfield; N. Ramzan, “Hybrid Local and Global Deep-Learning Architecture for Salient-Object Detection”, Applied Sciences, vol. 10, no. 23, p. 8754, 2020.	2020
17	S. Bibi, N. Anjum, T. Amjad, G. McRobbie, and N. Ramzan, “Human Interaction Anticipation by Combining Deep Features and Transformed Optical Flow Components”, IEEE Access, vol. 8, pp. 137646-137657, 2020.	2020
18	A. Khattak, G. Raja, N. Anjum, “Adaptive Framework for Multi-Feature Hybrid Object Tracking”, Applied Sciences, vol. 8, no. 11, p. 2294, 2018.	2018
19	S. Bibi, N. Anjum, M. Sher, “Automated Multi-Feature Human Interaction Recognition in Complex Outdoor Environments”, Elsevier Computers in Industry, vol. 99, pp. 282-293, 2018.	2018
20	M. J. Mirza and N. Anjum, “Association of Moving Objects Across Visual Sensor Networks”, Journal of Multimedia, vol. 7, no. 1, 2012.	2012
21	N. Anjum and A. Cavallaro, “Automated Localization of a Camera Network”, IEEE Intelligent Systems, vol. 27, no. 5, pp. 10-18, 2012	2012
22	N. Anjum, “Camera Localization in Distributed Networks Using Trajectory Estimation”, Journal of Electrical and Computer Engineering, vol. 1, p. 604647, 2011.	2011
23	N. Anjum and A. Cavallaro, “Multi-Feature Object Trajectory Clustering for Video Analysis”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 18, no. 11, pp. 1555-1564, 2008.	2008

SR.	CONFERENCE PUBLICATIONS	YEAR
1	A. Ashfaq, N. Anjum, S. Ahmed and N. Masood. Hybrid Deep Learning model for ECG-based Arrhythmia Detection. 19th International Conference on Frontiers of Information Technology, 2022.	2022
2	A. M. Qureshi and N. Anjum. Detection of Malicious Consumer Interest Packet While Mitigating Content Poisoning Attack with Name-Key Based Forwarding and Multipath Forwarding Based Inband Probe. International Conference on UK-China Emerging Technologies (UCET), 2020.	2020
3	M J Mirza, M W Tahir, N Anjum. Performance Evaluation of M-Estimators as Observation Noise Model in Kalman Filter.In Proc of IEEE Intl Conf on Multi-topic Conference (INMIC), 2017.	2017
4	M J Mirza, M W Tahir, N Anjum. On Singularities Computation and Classification of Redundant Robots, International Conference on Computing Communication and Control Engineering (IC4E’2015), May 22 23,2015 Dubai.	2015
5	Khattak, Ahmad S., Gulistan Raja, N Anjum and Muhammad Qasim. “Integration of mean-shift and particle filter: a survey.” In 2014 12th International Conference on Frontiers of Information Technology, pp. 286-291. IEEE, 2014.	2014
6	A S Khattak, G Raja, N Anjum and M Qasim. Integration of Mean-Shift and Particle Filter: A Survey, In Proc of IEEE Intl Conf on Frontiers of Information Technology (FIT), 2014	2014
7	N Anjum, M J Mirza, A Cavallaro Camera network localization using trajectory estimation, Emerging Technologies (ICET), 2011.	2011
8	N Anjum and A Cavallaro. Localization of distributed wireless cameras. In Proc. of IEEE Intl. Conf. on Distributed Smart Cameras, Como (Italy), Aug., 2009.	2009
9	N Anjum and A Cavallaro. Trajectory association and fusion across partially overlapping cameras. in Proc. of IEEE Intl. Conf. on Advanced Video and Signal Based Surveillance, (Genoa Italy), Sep., 2009. (Best paper award).	2009
10	G Kayumbi, N Anjum, and A Cavallaro. Global trajectory reconstruction from distributed visual sensors. in Proc of IEEE Intl. Conf. on Distributed Smart Cameras, Stanford California (USA), Sep., 2008.	2008
11	N Anjum and A Cavallaro. Unsupervised fuzzy clustering for trajectory analysis. in Proc of IEEE Intl. Conf. on Image Processing, San Antonio, Texas (USA), Sep., 2007.	2007
12	N Anjum and A Cavallaro. Single camera calibration for trajectory-based behaviour analysis. in Proc of IEEE Intl. Conf. on Advanced Video and Signal Based Surveillance, London (UK), Sep., 2007.	2007
13	N Anjum and A Cavallaro. Relative position estimation of non-overlapping cameras. in Proc of IEEE Intl. Conf. on Acoustics, Speech and Signal Processing, Honolulu (USA), Apr., 2007.	2007

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