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Faculty Profile

Prof. Dr. Saad Rehman

Professor
&
Director General

saad.rehman@thekit.edu.pk

(068) 111 000 155 Ext. ABC

Dr. Saad Rehman is a distinguished academic with a strong educational background in Computer Engineering and Satellite Communication. He earned his PhD in Computer Engineering from the University of Sussex, UK, in 2009, following an MS in Satellite Communication and Space Systems from the same institution in 2006. His academic journey began with a BS in Computer Engineering from the National University of Sciences and Technology in 2004.

Specializing in Digital System Design, Advanced Computer Architecture, Internet of Things Applications, and Real-Time Operating Systems, Dr. Rehman brings a wealth of knowledge and expertise to his field. His research interests and professional pursuits are deeply rooted in these cutting-edge areas, positioning him as a key contributor to technological advancement and innovation in his domain.

Education

  • 2009, PhD Computer Engineering (University of Sussex, UK)
  • 2006, MS Satellite Communication and Space Systems (University of Sussex, UK)
  • 2004, BS Computer Engineering (National University of Sciences and Technology)

Research Interests

  • Internet of Medical Things (IoMT)
  • Deep Learning, Vehicular Ad Hoc Networks (VANETs)
  • Real-time Frameworks for Communication
  • FPGA-based High-Speed Computing
  • Cyber-Physical System Security

Publications

  • 2024
    • Noor, M. N., Rubab, S., & Rehman, S. (2024). Machine Learning Techniques in Conjunction with Data Science Applications for CR-IoV. In Cognitive Radio-based Internet of Vehicles (pp. 53–71). CRC Press.
  • 2023
    • Rafiq, A., Rehman, S., Young, R., Song, W.-C., Khan, M. A., Kadry, S., & Srivastava, G. (2023). Knowledge defined networks on the edge for service function chaining and reactive traffic steering. Cluster Computing, 26(1), 613–634.
    • Sabir, M. D., Butt, M. F. U., Hassan, A., Rehman, S., Mehmood, M., & Aljohani, A. J. (2023). CoRAE: Energy Compaction-Based Correlation Pattern Recognition Training Using AutoEncoder. IEEE Access, 11, 28014–28033.
  • 2022
    • Tariq, J., Alfalou, A., Ijaz, A., Ali, H., Ashraf, I., Rahman, H., … Rehman, S. (2022). Fast intra mode selection in HEVC using statistical model. Comput. Mater. Contin, 70, 3903–3918.
    • Aqeel, A., Hassan, A., Khan, M. A., Rehman, S., Tariq, U., Kadry, S., … Thinnukool, O. (2022). A Long Short-Term Memory Biomarker-Based Prediction Framework for Alzheimer’s Disease. Sensors, 22(4), 1475.
    • Gillani, M., Niaz, H. A., Ullah, A., Farooq, M. U., & Rehman, S. (2022). Traffic Aware Data Gathering Protocol for VANETs. IEEE Access, 10, 23438–23449.
    • A Hybrid Duo-Deep Learning and Best Features Based Framework for Action Recognition. (2022). Computers, Materials & Continua, 73(2), 2555–2576.
    • Farooq, W., Islam, S. ul, Khan, M. A., Rehman, S., Gulzari, U. A., & Boudjadar, J. (2022). UGAVs-MDVR: A Cluster-Based Multicast Routing Protocol for Unmanned Ground and Aerial Vehicles Communication in VANET. Applied Sciences, 12(23), 11995.
  • 2021
    • Sabir, D., Hanif, M. A., Hassan, A., Rehman, S., & Shafique, M. (2021b). Weight Quantization Retraining for Sparse and Compressed Spatial Domain Correlation Filters. Electronics, 10(3), 351.
    • Nemati, R. J., Riaz, F., Hassan, A., Abbas, M., Rehman, S., Hussain, F., … Azad, M. A. (2021). A Framework for Classification of Gabor Based Frequency Selective Bone Radiographs Using CNN. Arabian Journal for Science and Engineering, 46, 4141–4152.
    • Noor, M. N., Nazir, M., Rehman, S., & Tariq, J. (2021). Sketch-recognition using pre-trained model. Proceedings of the National Conference on Engineering and Computing Technology, Islamabad, Pakistan, 8.
    • Sabir, D., Hanif, M. A., Hassan, A., Rehman, S., & Shafique, M. (2021a). TiQSA: Workload Minimization in Convolutional Neural Networks Using Tile Quantization and Symmetry Approximation. IEEE Access, 9, 53647–53668.
    • Shahzad, K., Azam, F., Rehman, S., Alfalou, A., Rubab, S., & Khan, J. A. (2021). Expelled kidney stones classification using feature fusion. Pattern Recognition and Tracking XXXII, 11735, 83–96. SPIE.
    • Tariq, J., Armghan, A., Alenezi, F., Ijaz, A., Rehman, S., Alfalou, A., & Ali Khan, J. (2021). HEVC Fast Intra-Mode Selection Using World War II Technique. Electronics, 10(9), 985.
    • Armghan, A., Tariq, J., Alenezi, F., Alnaim, N., Alfalou, A., & Rehman, S. (2021). HEVC’s Intra Mode Selection Using Odds Algorithm. Electronics, 10(15), 1839.
  • 2020
    • Riaz, F., Rehman, S., Ajmal, M., Hafiz, R., Hassan, A., Aljohani, N. R., … Coimbra, M. (2020). Gaussian mixture model based probabilistic modeling of images for medical image segmentation. IEEE Access, 8, 16846–16856.
    • Akbar, N., Tehsin, S., Bilal, A., Rubab, S., Rehman, S., & Young, R. (2020). Detection of moving human using optimized correlation filters in homogeneous environments. Pattern Recognition and Tracking XXXI, 11400, 73–79. SPIE.
    • Tehsin, S., Asfia, Y., Akbar, N., Riaz, F., Rehman, S., & Young, R. (2020). Selection of CPU scheduling dynamically through machine learning. Pattern Recognition and Tracking XXXI, 11400, 67–72. SPIE.
    • Zeeshan, M., Ashraf, T., Rehman, S., Khan, S. A., & Others. (2020). Improved Burst Detection for Physical Layer of SDR Wideband Waveform using Zadoff-Chu Sequence. 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT), 632–637. IEEE.
    • Rao, M. L., Gulraiz, J. J., Farooq, A., & Rehman, S. (2020). Future Challenges, Benefits of Internet of Medical Things and Applications in Healthcare Domain.
    • Saad, S. M., Bilal, A., Tehsin, S., & Rehman, S. (2020). Spoof detection for fake biometric images using feature-based techniques. SPIE Future Sensing Technologies, 11525, 342–349. SPIE.
  • 2019
    • Hamdani, M., Qamar, U., Butt, W. H., Khalique, F., & Rehman, S. (2019). A comparison of modern localization techniques in wireless sensor networks (WSNs). Proceedings of the Future Technologies Conference (FTC) 2018: Volume 2, 535–548. Springer International Publishing.
    • Riaz, F., Hassan, A., & Rehman, S. (2019). Texture classification framework using gabor filters and local binary patterns. Intelligent Computing: Proceedings of the 2018 Computing Conference, Volume 1, 569–580. Springer International Publishing.
    • Riaz, F., Azad, M. A., Arshad, J., Imran, M., Hassan, A., & Rehman, S. (2019). Pervasive blood pressure monitoring using photoplethysmogram (PPG) sensor. Future Generation Computer Systems.
    • Awan, Ahmed Bilal, Bakhshi, A. D., Abbas, M., & Rehman, S. (2019). Active contour-based clutter defiance scheme for correlation filters. Electronics Letters, 55(9), 525–527.
    • Masood, H., Rehman, S., Khan, A., Riaz, F., Hassan, A., & Abbas, M. (2019). Approximate Proximal Gradient-Based Correlation Filter for Target Tracking in Videos: A Unified Approach. Arabian Journal for Science and Engineering, 1–18.
    • Akbar, N., Tehsin, S., ur Rehman, H., Rehman, S., & Young, R. (2019). Hardware design of correlation filters for target detection. Pattern Recognition and Tracking XXX, 10995, 71–79. SPIE.
    • Gardezi, A., Malik, U., Rehman, S., Young, R. C. D., Birch, P. M., & Chatwin, C. R. (2019). Enhanced target recognition employing spatial correlation filters and affine scale invariant feature transform. Pattern Recognition and Tracking XXX, 10995, 145–160. SPIE.
    • Riaz, M. Q., Butt, W. H., & Rehman, S. (2019). Automatic Detection of Ambiguous Software Requirements: An Insight. 2019 5th International Conference on Information Management (ICIM), 1–6. IEEE.
    • Zahoor, M., Tariq, A., Zahoor, T., Abbas, M., & Rehman, S. (2019). Highlighting Management Issues Affecting Outsourcing in Pakistan’s Software Industry. Proceedings of the 2019 8th International Conference on Educational and Information Technology, 45–50. ACM.
    • Ahsan, I., Ahmed, M. A., Rehman, S., Abbas, M., & Khan, M. A. (2019). A Novel NLP Application to Automatically Generate Text Extraction Concepts from Textual Descriptions. Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence, 55–58. ACM.
    • Umar, A., Abbas, M., & Rehman, S. (n.d.). Metrics and tools that are available fortesting scalability. Proceedings of the 12th IADIS International Conference Information Systems 2019, IS 2019, 295–300.
    • Awan, Ahmed Bilal, Bakhshi, A. D., Riaz, F., & Rehman, S. (n.d.). SHAPE CONTEXT BASED CLUTTER DEFIANCE IN LOGARITHMIC CORRELATION FILTERS.
    • Hassan, Ali, Arshad, J., Azad, M. A., Imran, M., Rehman, S., & Riaz, F. (2019). Pervasive blood pressure monitoring using Photoplethysmogram (PPG) sensor.
  • 2018
    • Saeed, M. O. Bin, Ejaz, W., & Rehman, S. (2018). A Unified Analytical Framework for Distributed Variable Step Size LMS Algorithms in Sensor Networks for IoT. Telecommunication Systems.
    • Ajmal, H., Khan, A., Rehman, S., Hussain, F., Alam, M., & Young, R. (2018). Analysis of channel uncertainty in ARQ relay networks. PloS One, 13(1).
    • Awan, Ahmed B., Rehman, S., & Bakhshi, A. D. (2018). Composite filtering strategy for improving distortion invariance in object recognition. IET Image Processing, 12(8), 1499–1509.
    • Maqbool, B., Rehman, F. U., Abbas, M., & Rehman, S. (2018). Implementation of Software Testing Practices in Pakistan’s Software Industry. Proceedings of the 2018 2nd International Conference on Management Engineering, Software Engineering and Service Sciences, 147–152. ACM.
    • Ajmal, H., Rehman, S., Riaz, F., Hassan, A., Perwaiz, A., & Ain, Q. U. (2018). PCA and LDA based classifiers for osteoporosis identification. Pattern Recognition and Tracking XXIX, 10649, 170–176. SPIE.
    • Nemati, R. J., Rehman, S., Awan, A. B., & Riaz, F. (2018). A composite framework for segregating x-rays of osteoporotic cases from healthy controls. Pattern Recognition and Tracking XXIX, 10649, 78–85. SPIE.
    • Ajmal, H., Rehman, S., Hussain, F., Abbas, M., Khan, A., Young, R., & Alam, M. S. (2018). Comparative study of local binary pattern and its shifted variant for osteoporosis identification. Pattern Recognition and Tracking Xxix, 10649, 71–77. SPIE.
    • Masood, H., Rehman, S., Chaudry, Q., Riaz, F., Hassan, A., & Farooq, U. (2018). Comparison of SIFT and ASIFT based filters for better recognition and tracking in a remote scene environment. Pattern Recognition and Tracking XXIX, 10649, 267–277. SPIE.
    • Ajmal, H., Rehman, S., Farooq, U., Ain, Q. U., Riaz, F., & Hassan, A. (2018). Convolutional neural network based image segmentation: a review. Pattern Recognition and Tracking XXIX, 10649, 191–203.
    • Iftikhar, M., Karim, S., Rehman, S., & Shaukat, A. (2018). Biometric based human recognition using gait energy images. Pattern Recognition and Tracking XXIX, 10649, 177–183. SPIE.
    • Masood, H., Rehman, S., Khan, A., Haider, W., Young, R., Birch, P., & Alam, M. (2018). ASIFT based recognition of fixed shape moving objects and tracking via modified particle filters. Pattern Recognition and Tracking XXIX, 10649, 98–106. SPIE.
    • Khan, A., Rehman, S., Abbas, M., & Ahmad, A. (2018). On the mutual information of relaying protocols. Physical Communication, 30, 33–42.
    • Fatima, A., Qamar, U., Rehman, S., & Nazir, A. K. (2018). Incremental Wrapper Based Random Forest Gene Subset Selection for Tumor Discernment. International Conference on Database and Expert Systems Applications, 161–167. Springer International Publishing Cham.
    • Ajmal, H., & Rehman, S. (2018). TH-SOF-1506-Classification and Identification of Osteoporosis Cases through X-ray Images. NUST, College of Electrical and Mechanical Engineering.
    • Sufian, M., Khan, Z., Rehman, S., & Butt, W. H. (2018). A Systematic Literature Review: Software Requirements Prioritization Techniques. 2018 International Conference on Frontiers of Information Technology (FIT), 35–40. IEEE.
    • Rehman, Saad, Ullah, R. M. K., Tanvir, S., & Azam, F. (2018). Development of User Interface for Multi-platform Applications Using the Model Driven Software Engineering Techniques. 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 1152–1158. IEEE.
    • Rehman, F. ur, Abbas, M., Murtaza, S., Butt, W. H., Rehman, S., & Qamar, U. (2018). SimFiller: Similarity-Based Missing Values Filling Algorithm. Thirteenth International Conference on Digital Information Management (ICDIM).
    • Ahmad, I., Zarrar, M. K., Saeed, T., & Rehman, S. (2018). Security Aspects of Cyber Physical Systems. 1st International Conference on Computer Applications & Information Security (ICCAIS).
    • Qamar, U., & Rehman, S. (2018). Incremental Wrapper Based Random Forest. Database and Expert Systems Applications: DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3–6, 2018, Proceedings, 903, 161. Springer.
  • 2017
    • Shahzad, F., Khan, M. A., Khan, S. A., Rehman, S., & Akhlaq, M. (2017). AutoDrop: automatic DDoS detection and its mitigation with combination of Openflow and Sflow. Future Intelligent Vehicular Technologies: First International Conference, Future 5V 2016, Porto, Portugal, September 15, 2016, Revised Selected Papers 1, 112–122. Springer International Publishing.
    • Farooq, W., Khan, M. A., & Rehman, S. (2017). AMVR: A multicast routing protocol for autonomous military vehicles communication in VANET. Applied Sciences and Technology (IBCAST), 2017 14th International Bhurban Conference On, 699–706. IEEE.
    • Yousaf, R. M., Rehman, S., Dawood, H., Ping, G., Mehmood, Z., Azam, S., & Khan, A. A. (2017). Saliency based object detection and enhancements in static images. Information Science and Applications 2017: ICISA 2017 8, 114–123. Springer Singapore.
    • Malik, F. (2017). Glyph-based Video Visualization on Google map for Surveillance in Smart Cities. EURASIP Journal on Image and Video Processing.
    • Implementation and Evaluation of Optimised Algorithm for Software Architectures Analysis Through Unsupervised Learning. (2017).
    • Tehsin, S., Rehman, S., Bilal, A., Chaudry, Q., Saeed, O., Abbas, M., & Young, R. (2017). Comparative analysis of zero aliasing logarithmic mapped optimal trade-off correlation filter. Pattern Recognition and Tracking XXVIII, 10203, 1020305. International Society for Optics and Photonics.
    • Tehsin, S., Rehman, S., Riaz, F., Saeed, O., Hassan, A., Khan, M., & Alam, M. S. (2017). Fully invariant wavelet enhanced minimum average correlation energy filter for object recognition in cluttered and occluded environments. Pattern Recognition and Tracking XXVIII, 10203, 1020307. International Society for Optics and Photonics.
    • Mehboob, F., Abbas, M., Jiang, R., Rauf, A., Khan, S. A., & Rehman, S. (2017). Trajectory based vehicle counting and anomalous event visualization in smart cities. Cluster Computing, 1–10.
    • Ahmed, M. A., Ahsan, I., Khan, M. A., & Rahman, S. (2017). Management of road lights system using vehicular ad-hoc networks. 2nd IEEE International Conference on Computer and Communications (ICCC), 2016.
    • A Survey of Routing Protocols for Underwater Wireless Sensor Networks. (2017). Future Technologies Conference (FTC). IEEE.
    • Ramzan, A., Rehman, S., & Perwaiz, A. (2017). RFID technology: Beyond cash-based methods in vending machine. Control and Robotics Engineering (ICCRE), 2017 2nd International Conference On, 189–193. IEEE.
    • Joyia, G. J., Liaqat, R. M., Farooq, A., & Rehman, S. (2017). Internet of medical things (IOMT): Applications, benefits and future challenges in healthcare domain. Journal of Communications, 12(4), 240–247.
    • Tehsin, S., Rehman, S., Saeed, M. O. B., Riaz, F., Hassan, A., Abbas, M., … Alam, M. S. (2017). Self-Organizing Hierarchical Particle Swarm Optimization of Correlation Filters for Object Recognition. IEEE Access.
    • Masood, H., Rehman, S., Hassan, A., Chaudry, Q., Alam, M., & Young, R. (2017). A Novel Technique for Recognition and Tracking of Moving Objects based on E-MACH and Proximate Gradient (PG) Filters. 20th International Conference On Computer and Information Technology (ICCIT 2017).
    • Farooq, W., Khan, M. A., Rehman, S., Saqib, N. A., & Abbas, M. (2017). AAGV: A Cluster Based Multicast Routing Protocol for Autonomous Aerial and Ground Vehicles Communication in VANET. 2017 International Conference on Frontiers of Information Technology (FIT), 315–320. IEEE.
    • Khan, Q., Qamar, U., Butt, W. H., & Rehman, S. (2017b). Implementation and Analysis of Novel Clustering Algorithm Without Initial Value Selection for Software Architectural Styles Data Set. Frontiers of Information Technology (FIT), 2017 International Conference On, 64–69. IEEE.
    • Zafar, M. N., Azam, F., Rehman, S., & Anwar, M. W. (2017). A Systematic Review of Big Data Analytics Using Model Driven Engineering. Proceedings of the 2017 International Conference on Cloud and Big Data Computing, 1–5. ACM.
    • Farooq, A., Anwar, S., Awais, M., & Rehman, S. (2017). A deep CNN based multi-class classification of Alzheimer’s disease using MRI. Imaging Systems and Techniques (IST), 2017 IEEE International Conference On, 1–6. IEEE.
    • Iqtidar, A., Muzaffar, A. W., Qamar, U., & Rehman, S. (2017). A biomedical ontology on genetic disease. Proceedings of the Second International Conference on Internet of Things, Data and Cloud Computing, 67. ACM.
    • Sadia, H., Sherien, S., Iqbal, H., Zeeshan, M., Khan, A., & Rehman, S. (2017). Range estimation in radar using maximum likelihood estimator. Computer and Information Technology (ICCIT), 2017 20th International Conference Of, 1–5. IEEE.
    • Khan, Q. A., Hassan, A., Rehman, S., & Riaz, F. (2017). Detection and classification of pilots cognitive state using EEG. Computational Intelligence and Applications (ICCIA), 2017 2nd IEEE International Conference On, 407–410. IEEE.
    • Nauman, M., Hassan, A., Riaz, F., Rehman, S., Nedergard, R. W., Holt, K., … Niazi, I. K. (2017). Automatic tracking of cervical spine using fluoroscopic sequences. Intelligent Systems Conference (IntelliSys), 2017, 592–598. IEEE.
    • Khan, Q., Qamar, U., Butt, W. H., & Rehman, S. (2017a). Dataset designing of software architectures styles for analysis through data mining clustering algorithms. Intelligent Systems Conference (IntelliSys), 2017, 400–405. IEEE.
    • Gillani, M., Abbas, M., Rehman, S., Khan, M. A., & Ullah, A. (2017). Quality of Software Products and their Successfulness. The International Conference on Information Technologies, Systems and Networks ITSN, 10–23.
    • Sheikh, K., Rehman, S., Khan, M. A., & Riaz, F. (2017). Security Risk Detection Algorithms in Artificial Immune Systems. The International Conference on Information Technologies, Systems and Networks ITSN, 86–97.
    • Sheikh, K., & Saad Rehman, Q. C., Muhammad Abbas. (2017). A Comparative Study of Types, Tools and Techniques in Solar Irradiance Forecasting. The International Conference on Information Technologies, Systems and Networks ITSN, 338–349.
    • Farooq, A., & Rehman, S. (2017). TH-SOF-1408-Deep CNN Based Multi-class Classification of Alzheimer’s Disease using MRI. NUST, College of Electrical and Mechanical Engineering.
    • Batool, S., Khan, M. A., Saqib, N. A., & Rehman, S. (2017). A Survey of Routing Protocols for Underwater Wireless Sensor Networks. Future Technologies Conference (FTC), 29–30.
    • Abbas, M. T., Khan, M. A., Khaliq, A., Saqib, N. A., Ahmad, J., & Rehman, S. (2017). Secure AODV Protocol for Mobile Networks Using Short Digital Signatures. 2017 International Conference on Computational Science and Computational Intelligence (CSCI), 645–650. IEEE.
    • Bin Saeed, M. O., Zerguine, A., Sohail, M. S., Rehman, S., Ejaz, W., & Anpalagan, A. (2017). Variable Step-Size Strategy for Distributed Parameter Estimation of Compressible Systems in WSNs. 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD 2016), 1.
  • 2016
    • Ayyaz, S., & Rehman, S. (2016). The Most Secure Smartphone Operating System: A Survey. World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering, 10(2), 354–357.
    • Farooq, W., Khan, M. A., & Rehman, S. (2016b). A Novel Real Time Framework for Cluster-based Multicast Communication in Vehicular Ad Hoc Networks. International Journal of Distributed Sensor Networks.
    • Tehsin, S., Rehman, S., Awan, A. B., Chaudry, Q., Abbas, M., Young, R., & Asif, A. (2016). Improved maximum average correlation height filter with adaptive log base selection for object recognition. Optical Pattern Recognition XXVII, 9845, 984506. International Society for Optics and Photonics.
    • Anpalagan, A. (2016). A variable step-size strategy for distributed estimation of compressible systems in wireless sensor networks. 21st IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks.
    • Farooq, W., Khan, M. A., & Rehman, S. (2016a). A cluster based multicast routing protocol for Autonomous Unmanned Military Vehicles (AUMVs) communication in VANET. Computing, Electronic and Electrical Engineering (ICE Cube), 2016 International Conference On, 42–48. IEEE.
    • Khawaja, S. G., Akram, U., Khan, S. A., Shaukat, A., & Rehman, S. (2016). Network-on-Chip based MPSoC Architecture for K-Mean Clustering Algorithm. Microprocessors and Microsystems.
    • Akhtar, S. W., Rehman, S., Akhtar, M., Khan, M. A., Riaz, F., Chaudry, Q., & Young, R. (2016). Improving the robustness of neural networks using K-support norm based adversarial training. IEEE Access, 4, 9501–9511.
    • Ahmed, S. H., Hussain, S., Rehman, S., Abbas, S. K., & Sheikh, S. A. (2016). Stability analysis of forced duffing oscillator (FDO). Computer and Information Technology (ICCIT), 2016 19th International Conference On, 145–149. IEEE.
    • Islam, S. O. B., Abbas, M. Z., Rehman, S., Khan, U. S., & Saleem, M. M. (2016). Fatigue testing of MEMS device developed by MetalMUMPs fabrication process. Computer and Information Technology (ICCIT), 2016 19th International Conference On, 550–556. IEEE.
    • Masood, H., Rehman, S., Khan, M., Javed, Q., Abbas, M., Alam, M., & Young, R. (2016). Tracking of fixed shape moving objects based on modified particle filters. Computer and Information Technology (ICCIT), 2016 19th International Conference On, 240–245. IEEE.
    • Khan, Q., Akram, U., Butt, W. H., & Rehman, S. (2016). Implementation and evaluation of optimized algorithm for software architectures analysis through unsupervised learning (clustering). Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2016 17th International Conference On, 266–276. IEEE.
    • Saeed, Muhammad Omer Bin, Zerguine, A., Sohail, M. S., Rehman, S., Ejaz, W., & Anpalagan, A. (2016). Variable step-size strategy for distributed parameter estimation of compressible systems in WSNs. Computer Aided Modelling and Design of Communication Links and Networks (CAMAD), 2016 IEEE 21st International Workshop On, 1–5. IEEE.
    • Farooq, W., Khan, M. A., & Rehman, S. (n.d.). Research Article A Novel Real Time Framework for Cluster Based Multicast Communication in Vehicular Ad Hoc Networks.
  • 2015
    • Ayyaz, S., Rehman, S., & Qamar, U. (2015). A Four Method Framework for Fighting Software Architecture Erosion. International Journal of Computer, Information, Systems and Control Engineering, 9(1), 133–139.
    • Rehman, Saad, Riaz, F., Hassan, A., Liaquat, M., & Young, R. (2015). Human detection in sensitive security areas through recognition of omega shapes using MACH filters. SPIE Defense+ Security, 947708–947708. International Society for Optics and Photonics.
    • Khalid, R., Rehman, S., Riaz, F., & Hassan, A. (2015). Enhanced dynamic quadrant histogram equalization plateau limit for image contrast enhancement. Digital Information and Communication Technology and Its Applications (DICTAP), 2015 Fifth International Conference On, 86–91. IEEE.
    • Farooq, W., Khan, M. A., Rehman, S., & Saqib, N. A. (2015). A Survey of Multicast Routing Protocols for Vehicular Ad Hoc Networks. International Journal of Distributed Sensor Networks.
    • Riaz, F., Hassan, A., Rehman, S., Niazi, I. K., & Dremstrup, K. (2015). EMD based temporal and spectral features for the classification of EEG signals using supervised learning. TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (TNSRE).
    • An Empirical Study to Remove Noise from Single-Trial MRCP for Movement Intention Detection. (2015). 28th Annual IEEE Canadian Conference on Electrical and Computer Engineering (CCECE’2015). IEEE.
    • Hassan, A., Ghani, U., Riaz, F., Rehman, S., Jochumsen, M., Taylor, D., & Niazi, I. K. (2015). Using a portable device for online single-trial MRCP detection and classification. International Conference on Intelligent Data Engineering and Automated Learning, IDEAL.
    • Arfa Yasin, S. R., Ahmed Faraz. (2015). Prioritized Fair Round Robin Algorithm with Variable Time Quantum. 13th International Conference on Frontiers of Information Technology (FIT 2015).
    • Salman Arif, F. R., Saad Rehman. (2015). Design of A Modulus Based Round Robin Scheduling Algorithm. 9th IEEE Malaysian Software Engineering Conference.
    • Niazi, I. (2015). Using ONLINE Single Trial MRCP Detection and Classification System on a Portable Device. 15th IEEE International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2015).
    • Sabir, D., Rehman, S., & Hassan, A. (2015). Fully invariant quaternion based filter for target recognition. Signal and Image Processing Applications (ICSIPA), 2015 IEEE International Conference On, 509–513. IEEE.
  • 2014
    • Hassan, A., Riaz, F., & Rehman, S. (2014). Rotation and scale invariant texture classification by compensating for distribution changes using covariate shift in uniform local binary patterns. Electronics Letters, 50(1), 27–29.
    • Riaz, F., Hassan, A., Rehman, S., Niazi, I., Jochumsen, M., & Dremstrup, K. (2014). Processing movement related cortical potentials in EEG signals for identification of slow and fast movements. Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, 4908–4911. IEEE.
    • Awan, Ahmed Bilal, Rehman, S., & Latif, S. (2014). Synthesis of an adaptive CPR filter for identification of vehicle make & type. Software Engineering Conference (NSEC), 2014 National, 25–29. IEEE.
  • 2013
    • Rehman, Saad, Bilal, A., Javed, Y., Amin, S., & Young, R. (2013). Logarithmically Pre-processed EMACH Filter for Enhanced Performance in Target Recognition. Arabian Journal for Science & Engineering (Springer Science & Business Media BV), 38(11).
    • Riaz, F., Hassan, A., Rehman, S., & Qamar, U. (2013). Texture classification using rotation-and scale-invariant gabor texture features. IEEE Signal Processing Letters, 20(6), 607–610.
    • Sidra Minhas, Saad Rehman, & Khanum, A. (2013). Brain MRI Segmentation: Utilizing Strengths of Fuzzy G-K Clustering Algorithm. European Journal of Scientific Research, 114(1), 160–166.
  • 2012
    • Anwar, M. J., Javed, M. Y., Rehman, S., & Asad, N. (2012). Applying Provable Data Possession with Elgamal in Cloud Computing. J. Basic. Appl. Sci. Res, 2(7), 7091–7094.
  • 2010
    • Iqbal, U., Javed, Y., Rehman, S., & Khanum, A. (2010). SIP-based QoS management framework for IMS multimedia services. International Journal of Computer Science and Network Security, 10(5), 181–188.
    • Birch, P., Mitra, B., Bangalore, N. M., Rehman, S., Young, R., & Chatwin, C. (2010). Approximate bandpass and frequency response models of the difference of Gaussian filter. Optics Communications, 283(24), 4942–4948.
  • 2009
    • Rehman, Saad, Young, R., Chatwin, C., & Birch, P. (2009). An FPGA based generic framework for high-speed sum of absolute difference implementation. European Journal of Scientific Research, 33(1), 629.
    • Rehman, Saad. (2009). Pattern Recognition Algorithms and the Design of Hardware Accelerators to Permit Their Real-Time Operation. University of Sussex.
    • FULLY SCALE AND IN-PLANE INVARIANT SYNTHETIC DISCRIMINANT FUNCTION BANDPASS DIFFERENCE OF GAUSSIAN COMPOSITE FILTER FOR OBJECT RECOGNITION AND DETECTION IN STILL IMAGES. (2009). Journal of Theoretical and Applied Information Technology, 5(2), 232–241.
    • Rehman, Sohaib, Akbar, M., & Rehman, S. (2009). HUMAN POWERED WEARABLE BATTERY CHARGER. NUML Journal of Management & Technology, 4, 11.
  • 2008
    • Rehman, Saad. (2008b). Design of a Verilog Cross-compiler for Image Recognition Using a Sum of Absolute Differences Processor. Journal of Computer and Information Sciences, 2(1), 17–22.
    • Rehman, Saad. (2008a). A Comparative Study between Correlation and Non-Correlation Based Technique for Object Detection and Recognition in Still Images. Journal of Computer and Information Sciences, 2(1).
  • 2007
    • Rehman, Saad, Bone, P., Banglaore, N., Young, R., & Chatwin, C. (2007). Object detection and recognition in cluttered scenes using fully scale and in-plane invariant synthetic discriminant function filters. Journal of Computer and Information Sciences, 1(1), 15–18.

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