PROFILE SUMMARY
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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 |
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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 |
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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 |