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• Computer Vision
• Machine/Deep Learning
• Natural Language Processing
• Medical Diagnostics
• Sentiment Analysis
• AgriTech
• Signal Processing

Funded Research Project

Provision of Business Enterprise Incubation Services in Islamabad: FATA Transition and Recovery Program – Project Director (Funded by UNDP, Islamabad: Rs. 42.9 million)

With support from United Nations Development programme (UNDP), Bahria University is imparting its incubation services to 360 entrepreneurs from the North Waziristan, South Waziristan and Khyber Agency as part of the UNDP’s FATA Economic Revitalization Project (FERP). The Program is imparting entrepreneurial training through provision of business incubation services to its talented pool of Entrepreneurs from the regions. The programme will support entrepreneurs to test out new business ideas in the market by providing technical assistance in the form of mentoring, coaching and training; and reducing associated financial risk in the form of a grant.

Content based Indexing and Retrieval of Videos (ICT R&D Funded: Rs. 10.3 million)

ICTRND funded project which is aimed at developing a content based video indexing and retrieval system. The caption text appearing in videos is used as the primary index while the audio content in these videos serve as the secondary index. The text detection is proposed to be generic allowing detection of multilingual text from videos – Urdu and English being considered for the current project. Textual content based indexing will be carried out either by recognizing the keywords or through word spotting. In a similar fashion, keywords will be searched in the audio stream and the videos will be indexed on the provided vocabulary of keywords. During the retrieval phase, user may provide a query keyword and retrieve all videos containing occurrences of the query word.

Network enabled retinal image analysis and screening system for grading and diagnosis of diabetic retinopathy (ICT R&D Funded: Rs. 15.3 million) 2012-2014

ICTRND funded project which is a telemedicine system for tele-screening of DR with capabilities of self diagnosis, real time access to data from rural areas, assignment of ophthalmologist for expert opinion and management of a national database for regular monitoring. The project is implemented and operational in AFIO, Rawalpindi.

Automated Forest Fire Detection and Planning for Spread-Control/Mitigation (NESCOM Funded: Rs. 0.3 million)

NESCOM funded project to design and develop a solution for detection of fire using drone images in a forest for its early identification and proper mitigation.  

Supervised

MPhil level

1. Sohail Safdar, Effective representation and intelligent execution of workflows, 2009
2. Muazzam Gill, Achieving data cleaning through conditional functional dependencies and numerical functional dependencies, 2010.
3. Suleman Amjad, Fingerprint image enhancement for purpose of minutiae detection, 2011.
4. Aafia Kamal, Brand logo recognition based on augmented SURF algorithm, 2011.
5. Zia ur Rehman Hashmi, STANCH: A refinement of SCRUM for requirement engineering, 2011.
6. Junaid Tariq, Affine invariant approach for 2D shape matching, 2011.
7. Sadaf Mukhtar, Piecewise approach for efficient shape matching robust to occlusion, 2012.
8. Sannia Arshad, A genetic algorithm based weight learning method for improving classification accuracies, 2012.
9. Faisal Imran, Content-based image classification using weighted image descriptors, 2012.
10. Uzma Naqvi, Framework for writer-identification through hand-written documents, 2013.
11. Mubasshar Ali, A rule based stemming method for Urdu language, 2014.
12. Mazhar Iqbal Rana, Framework for classifying news based on their headlines using probabilistic learning approach, 2014
13. Kashif Ahmed, Classification of Urdu News Based on Their Headlines, 2015.
14. Muhammad Nazakat, Offline Handwritten Signature Verification, 2015
15. Jawad-ur-Rehman Chughtai, Online Signature Verification, 2015
16. Ayesha Rafiq, Offline OCR for Urdu Script, 2015
17. Kashif Saleem, Skin lesion segmentation on dermoscopic images, 2015

 PhD Level

1. Usman Akram, Retinal Image Analysis and Hybrid Classification for Screening of Diabetic Retinopathy, (Co-Supervision), Completed in 2012.
2. Uzma Jamil, Melanoma vs. nevus lesion classification using dermoscopic images, In Progress.
3. Waqas Ahmed, ECG signal analysis for human identification and disease detection, In Progress
4. Anwar Shaukat, Segmentation and Tracking of Lung Nodules in CT scan Data., In Progress
5. Muhammad Taimoor Khan, Automatic Aspect Extraction using Big Data. In Progress.
6. Mehr Yahya Durrani, Human Identification and Forgery Detection using Online Signature Information, In Progress.
7. Adeel M. Syed, Analysis of OCT and Fundus Images for detection of Macular Edema, In Progress.

Book

1. Shehzad Khalid, “Motion Data Mining and Activity Recognition”, VDM Verlag, 2009, ISBN 978-3-639-21045-3.

Book Chapter

1. Shehzad Khalid, “Behavior recognition using any feature space representation of motion trajectories”, In book “Video Surveillance”, Intech, 2011, ISBN 978-953-307-958-5.
2. Usman Akram, Shehzad Khalid, “A software system for grading diabetic retinopathy by analyzing retinal images”, In book “Knowledge based processes in software development”, IGI Global, 2012.
3. Anwar Shaukat, Imran Farid, Shehzad Khalid, Amina Jamil, Detection of Lung Nodules in CT Scan Data- A Review, in book “Ensuring Patient Safety and Confidentiality through Secure Health Information Management”, 2015.
4. Uzma Jamil, Shehzad Khalid, Analysis of Valuable Techniques & Algorithms Used in Automated Skin Lesion Recognition Systems, in book “Ensuring Patient Safety and Confidentiality through Secure Health Information Management”, 2015.

 Publications

Journal (Cumulative Impact Factor: 148.58)

1. Shehzad Khalid and Andrew Naftel, “Classifying spatiotemporal object trajectories using unsupervised learning in the coefficient feature space”, ACM Multimedia Systems Special Issue: Multimedia video surveillance, Vol. 12, No. 3, pp. 227-238, December 2006. [IF-0.44]
2. Shehzad Khalid and Andrew Naftel, “Automatic motion learning in the presence of anomalies using coefficient feature space representation of trajectories”, Acta Automatica Sinica, Vol. 36, No 5, January, 2010. [International Journal]
3. Shehzad Khalid and Andrew Naftel, “Self-Tuned Unsupervised Learning of Motion Trajectories”, Vol. 2, No. 1, pp. 27-36, August 2009. [HEC Recognized Journal]
4. Shehzad Khalid, “Motion based behaviour learning, profiling and classification in the presence on anomalies”, Pattern Recognition, 43, No. 1, pp. 173-186, 2010. [IF- 2.584]
5. Shehzad Khalid, “Activity classification and anomaly detection using m-Mediods based modeling of motion patterns”, Pattern Recognition, 43, No. 10, pp. 3636-3647, 2010. [IF- 2.584]
6. Khalid, S.Razzaq, “Frameworks for multivariate m-mediods based modeling and classification in Euclidean and general feature spaces, Pattern Recognition, Vol. 45, No. 3, pp. 1092-1103, March 2012. [IF- 2.584]
7. Shehzad Khalid,“Incremental indexing and retrieval mechanism for scalable and robust contour-based shape matching”, Multimedia Systems, Vol. 18, Issue 4, pp. 319-336, July 2012. [IF-0.60]
8. Usman Akram, Shehzad Khalid, “Identification and Classification of Microaneurysms for Early Detection of Diabetic Retinopathy”, Pattern Recognition, Vol. 46, Issue 1, pp. 107-116, Jan 2013. [IF- 2.584]
9. Sohail Jabbar, Abid Ali Minhas, Imran Shafi, Shehzad Khalid and Rabia Iram, “Intelligent Optimization of Wireless Sensor Network through Bio-Inspired Computing: Survey and Future Directions”, International Journal of Distributed Sensor Network, http://dx.doi.org/10.1155/2013/421084, 2013. [IF- 0.923]
10. Usman Akram, Shehzad Khalid, Anam Tariq, M. Younus Javed, Detection of neovascularization in retinal images using multivariate m-Mediods based classifier, Computerized Medical Imaging and Graphics, vol. 37, no. 5-6, pp. 346-357, 2013. [IF-1.664]
11. Usman Akram, Shehzad Khalid, Anam tariq, Shoab Khan, “Detection and classification of retinal lesions for grading of diabetic retinopathy”, Journal of Computers in Biology and Medicine, vol 45, pp. 161-171, 2014. [IF- 1.162]
12. Mehr Yahya, Taimoor Khan, Armughan Ali, Ali Mustafa, Shehzad Khalid, “Machine learning, a solution for intrusion detection”, Journal of Basic and Applied Scientific Research, vol. 4, 2014. [ISI indexed].
13. Shehzad Khalid, Sannia Arshad, Sohail Jabbar, Seungmin Rho, “Robust Framework to Combine Diverse Classifiers Assigning Distributed Confidence to Individual Classifiers at Class Level”, Scientific World Journal, 2014. [IF- 1.219]
14. Mubashir Ali, Shehzad Khalid, M. Haneef Saleemi,A novel stemming approach for Urdu language,Journal of Applied Environmental and Biological Sciences, vol. 1(7), 2014 [ISI Indexed]
15. Muhammad Nazakat, Shehzad Khalid, Imran Siddiqi, A Review of offline signature verification techniques, Journal of Applied Environmental and Biological Sciences, vol. 1(9), pp. 342-347, 2014 [ISI Indexed]
16. Jawad-ur-Rehman Chughtai, Shehzad Khalid, Imran Siddiqi, Online signature verification : A review, Journal of Applied Environmental and Biological Sciences, vol. 1(9), pp. 303-308, 2014 [ISI Indexed]
17. Sannia Arshad, Shehzad Khalid, “A hybrid approach to combine heterogeneous classifiers using weight learning robust to the presence of class label noise and imbalanced classes”, Bahria University Journal of Information & Communication Technology, 2014. [HEC Recognized]
18. Sohail Jabbar, Rabia Iram, Abid Ali Minhas, Chaudhary Muhammad Imran, Shehzad Khalid “EASARA: Energy Aware Simple Ant Routing Algorithm in Wireless Sensor Network”, Recent Advancements in Soft Computing and its Application, The Scientific World Journal, [IF- 1.219]
19. Shahid Razzaq, Shehzad Khalid, “Determination of System Dimensionality from Observing Near-Normal Distributions”, Journal of Abstract and Applied Analysis, 2015. [IF- 1.274]
20. Sohail Jabbar, Abid Ali Minhas, Muhammad Imran, Shehzad Khalid, Energy Efficient Strategy for throughput Improvement in Wireless Ad
    Hoc Sensor Networks, Journal of Sensors, vol. 15(2), pp. 2473-2495, 2015. [IF- 2.048]
21. Shehzad Khalid, Usman Akram, Shahid Razzaq, “Behaviour recognition using multivariate m-mediod based modelling of motion trajectories”, Multimedia Systems, vol. 21(5), pp. 485-505, [IF-0.44]
22. Shehzad Khalid, Shahid Razzaq, “TOBAE: A density-based agglomerative clustering algorithm”, Journal of Classification, 10.1007/s00357-015-9166-2, 2015. [IF-0.571]
23. Saima Shaheen, M. Younus Javed, Muid Mufti, Shehzad Khalid, Aasia Khannum, Shoab Khan and M. Usman Akram, A Novel Compression Technique For Multi-Camera Nodes Through Directional Correlation, International Journal of Distributed Sensor Network, vol. 2015, Article ID 539838, 2015. doi:10.1155/2015/539838. [IF- 0.923]
24. Amna Waheed, M. Usman Akram, Shehzad Khalid, Zahra Waheed, Muazzam A. Khan, Arsalan Shaukat, Hybrid Features and Mediods Classification based Robust Segmentation of Blood Vessels, Journal of Medical Systems, 2015. [IF- 2.213]
25. Usman Akram, Anam Tariq, Shehzad Khalid, Ubaid ullah Yasin, M. Younis Javed, Glaucoma detection using novel optic disk localization, hybrid feature set and classification techniques, Australasian physical and engineering sciences in Medicine, 2015. [IF- 0.882]
26. Shehzad Khalid, Anwar Shaukat, Imran Farid, Amina Jamil, Detection of Lung Nodules in CT Scan Data- A Review, International Journal of Privacy and Health Information Management (IJPHIM), vol. 3, issue 2, 2015.
27. Uzma Jamil, Shehzad Khalid, Analysis of Valuable Techniques & Algorithms Used in Automated Skin Lesion Recognition Systems, International Journal of Privacy and Health Information Management (IJPHIM), vol. 3, issue 2, 2015.
28. Taimoor Khan, Shehzad Khalid, Sentiment Analysis for Health Care, International Journal of Privacy and Health Information Management (IJPHIM), vol. 3, issue 2, 2015.
29. Mazhar, Shehzad, Fizza, Armughan, Mehr, Farhan, NEWS HEADLINES CLASSIFICATION USING PROBABILISTIC APPROACH, VAWKUM Transactions on Computer Science, vol 7, issue 1, 2015.
30. Taimoor Khan, MS; Mehr Durrani; Armughan Ali; Irum Inayat; Shehzad Khalid; Kamran Habib Khan, Sentiment Analysis and the Complex Natural Language: A Review, Complex Adaptive Systems Modeling, vol 4, no. 2,2016. [ISI Indexed]
31. Majid Hussain, Muhammad Farrukh Shafeeq, Sana Jabbar, Ali Hammad Akbar, Shehzad Khalid, CRAM: A conditioned reflex action inspired adaptive model for context addition in wireless sensor networks, Journal of Sensors, 2016. [IF- 1.704]
32. R. Malik, T. Ahmad, M. Farhan, M. Aslam, S. Jabbar, S. Khalid, M. Kim, Big-Data: transformation from heterogeneous data to semantically enriched simplified data, Multimedia Tools and Applications, vpp 1-21l. 75(20), pp. 12727-12747, 2016. [IF- 1.530]
33. Taimoor Khan, Mehr Yahya, Shehzad Khalid, Aspect-Based Sentiment Analysis on a Large-Scale Data: Topic Models are the Preferred Solution, BUJICT, Vol. 8, No. 2, pp. 22-27, 2015. [HEC Recognized]
34. Taimoor Khan, Mehr Durrani, Shehzad Khalid, Furqan Aziz, “Online knowledge based model for big data topic extraction”, Computational Intelligence and NeuroScience, http://dx.doi.org/10.1155/2016/6081804, 2016. [IF-1.215]
35. Kashif Ahmed, Mubashir Ali, Shehzad Khalid, Muhammad Kamran, “Framework for Urdu News Headline Classification”, Journal of Applied Computer Science and Mathematics, vol.10, no. 21, pp. 17-21, 2016.
36. Shehzad Khalid, Uzma Naqvi, Sana Shaukat, “Review of offline text independent writer identification techniques”, Jurnal Teknologi (Sciences & Engineering) 78:4-3, pp. 69-73, 2016. [ISI Indexed]
37. Majid Hussain, Kihyung Kim, Ali Hammad Akbar, Shehzad Khalid, Seung-Jin Bang, Mohsin Javed and Madiha Manzoor, “A Gateway Deployment Heuristic for Enhancing the Availability of Sensor Grids”, International Journal of Distributed Sensor Networks, 2016. [IF-1.239]
38. M Ali, S Khalid, M Haneef, W Iqbal, A Ali, G Naqvi, A Rule based Stemming Method for Multilingual Urdu Text, International Journal of Computer Applications 134 (8), 10-18, 2016.
39. Kaleem Razzaq Malik, Tauqir Ahmad, Muhammad Farhan, Kashif Amjad, Shehzad Khalid, Farhan Ullah, “Multi-Agent Semantical Annotation Enhancement Model for IoT based Energy Aware Data”,  International Journal of Distributed Sensor Networks, 2016. [IF-1.239]
40. Mehr Yahya Durrani, Jawad-ur-Rehman Chughtai, Armughan Ali, Ali Mustafa, Shehzad Khalid, “Signature Verification through Chebyshev Polynomials A Novel Method”,Journal of Applied Environmental and Biological Sciences, vol. 6(3S), 2016 [ISI Indexed]
41. MT Khan, M Durrani, S Khalid, F Aziz, Lifelong aspect extraction from big data: knowledge engineering, Complex Adaptive Systems Modeling 4 (1), 1, 2016. [ISI Indexed]
42. Israr Ud Din, Zumra Malik, Imran Siddiqi, Shehzad Khalid, “Line and Ligature Segmentation in Printed Urdu Document Images”, J. Appl. Environ. Biol. Sci., vol. 6(3S), pp. 114-120, 2016. [ISI Indexed]
43. Uzma Jamil, Usman Akram, Shehzad Khalid, Sarmad Abbas, Kashif Saleem, “Computer Based Melanocytic & Nevus Image Enhancement and Segmentation”,  Journal of BioMed Research International, 2016. [IF-2.476]
44. Shehzad Khalid, Kashif Saleem, Uzma Jamil, Usman Akram, Waleed Manzoor, Waqas Ahmed, Amina Sohail, “Segmentation of Skin Lesion Using Cohen-Daubechies-Feauveau Biorthogonal Wavelet”, SpringerPlus, 2016. [IF-1.130]
45. Taimoor Hassan, Samra Naz, Adeel M. Syed, Shehzad Khalid, Usman Akram, Automate diagnosis of macular edema and central serous retinopathy through robust reconstruction of 3D retinal surfaces, Computer Methods and Programs in Biomedicine, 2016. [IF – 2.503]
46. Muhammad Taimoor Khan, Nouman Azam, Shehzad Khalid, JingTao Yao, A Three-way Approach for Learning Rules in Automatic Knowledge-based Topic Models, International Journal of Approximate Reasoning, vol. 82, pp. 210-226, 2017. [IF – 2.845]
47. Faisal Riaz, Imran Shafi, Sohail Jabbar, Shehzad Khalid, S. Rho, “A novel white space optimization scheme using memory enabled genetic algorithm in cognitive vehicular communication,” Wireless Personal Communications, 93(2), pp. 287-309 2017. [IF- 0.979]
48. Muhammad Farhan, Muhammad Aslam, Sohail Jabbar, Shehzad Khalid, Mucheol Kim, Real-time imaging-based assessment model for improving teaching performance and student experience in e-learning, Journal of Real-Time Image Processing, DOI 10.1007/s11554-016-0662-3, 11 January, 2017. [IF-2.010]
49. Shehzad Khalid, Sadaf Mukhtar, Sohail Jabbar, Seungmin Rho, “Accurate and efficient shape matching approach using vocabularies of multi-feature space representations”, Journal of Real Time Image Processing, 13(3), pp. 449-465, 2017. [IF- 2.020]
50. Murad Khan, Awais Ahmad, Shehzad Khalid, Syed Hassan Ahmed, Sohail Jabbar, Jamil Ahmad, Fuzzy based Multi-criteria Vertical Handover Decision Modeling in Heterogeneous Wireless Networks, Multimedia Tools and Applications, https://doi.org/10.1007/s11042-016-4330-1, 2017. [IF – 1.530].
51. Mubasshar Ali, Shehzad Khalid, Comprehensive Stemmer for Morphologically Rich Urdu Language, Accepted in International Arab Journal of Information Technology, 2016, [IF – 0.519].
52. Sohail Jabbar, Farhan Ullah, Shehzad Khalid, , Murad Khan, Kijun Han, Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare, Wireless Communications and Mobile Computing, Volume 2017, Article ID 9731806, 2017. [IF- 1.899]
53. Kaleem Razzaq Malik, Masood Habib, Shehzad Khalid, Farhan Ullah, Muhammad Umar, Taimur Sajjad, Awais Ahmed, Data Compatibility to Enhance Sustainable Capabilities for Autonomous Analytics in IoT, Sustainability, https://doi:10.3390/su9060877, 2017. [IF- 1.789]
54. Shehzad Khalid, Bushra Sabir, Sohail Jabbar, Naveen Chilamkurti, Precise shape matching of large shape datasets using hybrid approach, J. Parallel Distrib. Comput. http://dx.doi.org/10.1016/j.jpdc.2017.04.004, 2017. [IF- 1.320]
55. Kanwal Mumtaz. Muhammad Munwar Iqbal, Shehzad Khalid, Tariq Rafiq, Syed Muhammad Owais, Mohammed Al Achhab, An E-Assessment Framework for Blended Learning with Augmented Reality to Enhance the Student Learning, EURASIA Journal of Mathematics, Science and Technology Education, vol. 13, no. 8, pp. 4419-4436, 2017. [IF- 0.903]
56. Farhan Ullah, Muhammad Asif Habib, Muhammad Farhan, Shehzad Khalid, Mehr Yahya Durrani, Sohail Jabbar, Semantic interoperability for big-data in heterogeneous IoT infrastructure for healthcare, Sustainable Cities and Society, https://doi.org/10.1016/j.scs.2017.06.010, June 2017. [IF- 1.777]
57. Mehr Y. Durrani, Shehzad Khaild, VerSig: A New Approach for Online Signature Verification, Cluster Computing, DOI 10.1007/s10586-017-1129-4, 2017. [IF- 2.040]
58. Khurram Zeeshan Haider, Kaleem Razzaq Malik, Shehzad Khalid, Tabassam Nawaz, Sohail Jabbar, Deepgender: real-time gender classification using deep learning for smartphones, J Real-Time Image Proc, DOI 10.1007/s11554-017-0714-3, 2017. [IF- 2.010].
59. Israr Ud-Din, Imran Siddiqi Shehzad Khalid, Tahir Azam, Segmentation-free optical character recognition for printed Urdu text, EURASIP Journal of Image and Video Processing, https://doi.org/10.1186/s13640-017-0208-z, 2017. [IF- 1.742]
60. Mubasshir Cheema, Shehzad Khalid, Haseeb Aslam, Pattern Based Comprehensive Urdu Stemmer and Short Text Classification, IEEE Access, 2017. [IF- 3.244]
61. Muhammad Farhan, Sohail Jabbar, Muhammad Aslam, Mohammad Hammoudeh, Mudassar Ahmad, Shehzad Khalid, Murad Khan, Kijun Han, IoT-based Students Interaction Framework using Attention-Scoring Assessment in eLearning, Future Generation Computer Systems, vol. 7, no. 3, February 2018. [IF- 3.997]
62. Sohail Jabbar, Mudassar Ahmad, Kaleem Razzaq Malik, Shehzad Khalid, Junaid Chaudhry, Omar Aldabbas, Designing an Energy-Aware Mechanism for Lifetime Improvementof Wireless Sensor Networks: a Comprehensive Study, Mobile Networks and Applications, https://doi.org/10.1007/s11036-018-1021-3, 2018. [IF- 3.259]
63. Rehan Ashraf, Mudassar Ahmed, Shehzad Khalid, Rehan, Sohail Jabbar, Gwanggil Jeon, Content Based Image Retrieval by Using Color Descriptor and Discrete Wavelet Transform, Journal of Medical Systems, 42:44, March 2018 [IF-2.456]
64. Shehzad Khalid, Uzma Jamil, M. Usman Akram, Sohail Jabbar, “Melanocytic and Nevus Lesion Detection from Diseased Dermoscopic Images using Fuzzy and Wavelet Techniques”, Soft Computing, vol. 22, issue 5, pp. 1577-1593, March 2018. [IF- 2.472]
65. Muhammad Farhan, Muhammad Aslam, Sohail Jabbar, Shehzad Khalid, Multimedia based qualitative assessment methodology in eLearing: student teacher engagement analysis, Multimedia Tools and Applications, 77(4), 4909-4923, DOI: 10.1007/s11042-016-4212-6, Feb 2018. [IF – 1.530]
66. Sohail Jabbar, Muahmmad Asif Habib, Abid Ali Minhas, Mudassar Ahmad, Rerhan Ashraf, Shehzad Khalid, Kijun Han, Analysis of Factors Affecting Energy Aware Routing in Wireless Sensor Network, Wireless Communications and Mobile Computing, Wiley and Hindawi, https://doi.org/10.1155/2018/9087269, Feb, 2018. [IF – 1.899]
67. Awais Ahmad, Muhammad Babar, Sadia Din, Shehzad Khalid, Muhammad Mazhar Ullah, Anand Paul, Alavalapati Goutham Reddy, Nasro Min-Allah, Socio-cyber network: The potential of cyber-physical system to define human behaviors using big data analytics, Future Generation Computer Systems, 2018. [IF- 3.997]
68. Syeda Mariam Muzammal, Munam Ali Shah, Hasan Ali Khattak, Sohail Jabbar, Ghufran Ahmed, Shehzad Khalid, Shahid Hussain, Kijun Han, Counter Measuring Conceivable Security Threats on Smart Healthcare Devices, IEEE Access, 2018. [IF- 3.244]
69. Sohail Jabbar, Kaleem R. Malik, Mudassar Ahmad, Omer Aldabbas, Muhammad Asif, Shehzad Khalid, Ki J. Han, Syed H. Ahmed, A Methodology of Real-Time Data Fusion for Localized Big Data Analytics, IEEE Access, 2018. [IF- 3.244]
70. Muhamad Munawwar Iqbal, Muhammad Tahir Mehmood, Sohail Jabbar, Shehzad Khalid, Awais Ahmad, Gwanggil Jeon, An enhanced framework for multimedia data: Green transmission and portrayal for smart traffic system, Computers & Electrical Engineering, Volume 67, April 2018, pp. 291–308. [IF- 1.570]
71. Kaleem Razzaq Malik, Muhammad Asif Habib, Shehzad Khalid, Mudassar Ahmad, Mai Alfawair, Awais Ahmad, Gwanggil Jeon, A generic methodolog0y for geo?related data semantic annotation, https://doi.org/10.1002/cpe.4495, Concurrency and Computation: Practice and Experience, 2018. [IF- 1.133]
72. Ibrahim Ghafir, Vaclav Prenosil, Mohammad Hammoudeh, Thar Baker, Sohail Jabbar, Shehzad Khalid, Sardar Jaf, BotDet: A System for Real Time Botnet Command and Control Traffic Detection, IEEE Access, 2018. [IF- 3.244]
73. Mubashir Ali, Shehzad Khalid, Ghayur Naqvi, Muhammad Saleemi, Comprehensive Stemmer for Morphologically Rich Urdu Language, The International Arab Journal of Information Technology, 2018. [IF- 0.724]
74. Sheraz Naseer, Yasir Saleem, Shehzad Khalid, M. Khawar Bashir, Jihun han, Muhammad Munwar Iqbal, Enhanced Network Anomaly Detection Based on Deep Neural Networks, IEEE Access, Vol. 6, No. 1, December 2018. [IF- 3.244]
75. Taimoor Khan, Shehzad Khalid, Impoved Context-aware Youtube Recommender System with User Feedback Analysis, BUJICT, vol. 10(2), 2018. [HEC Recognized]
76. KR Malik, M Farhan, MA Habib, S Khalid, M Ahmad, I Ghafir, Remote access capability embedded in linked data using bi-directional transformation: Issues and simulation, Sustainable Cities and Society 38, 662-674, April 2018. [IF – 3.073]
77. AM Syed, MU Akram, T Akram, M Muzammal, S Khalid, MA Khan, Fundus Images-Based Detection and Grading of Macular Edema Using Robust Macula Localization, IEEE Access 6, 58784-58793, 2018. [IF- 3.244]
78. Mudassar Ahmad, Usman Ahmad, Md Asri Ngadi, Muhammad Asif Habib, Shehzad Khalid, Rehan Ashraf, Loss Based Congestion Control Module for Health Centers Deployed by Using Advanced IoT Based SDN Communication Networks, International Journal of Parallel Programming, pp 1-31, 2018. [IF- 0.897]
79. Farhan Ullah, Junfeng Wang, Muhammad Farhan, Masood Habib, Shehzad Khalid, Software plagiarism detection in multiprogramming languages using machine learning approach, Concurrency and Computation Practice and Experience, October 2018. [IF- 1.114]
80. Mushtaq H, Khawaja SG, Akram MU, Yasin A, Muzammal M, Khalid S, Khan SA, A Parallel Architecture for the Partitioning Around Medoids (PAM) Algorithm for Scalable Multi-Core Processor Implementation with Applications in Healthcare, Sensors, 18(12), 2018. [IF- 2.475]
81. Muhammad Munwar Iqbal, Muhammad Farhan, Sohail Jabbar, Yasir Saleem, Shehzad Khalid, Multimedia based IoT-Centric Smart Framework for eLearning Paradigm, Multimedia Tools and Applications, 78(3), 3087-3106, February 2019. [IF- 1.530]
82. Asfa Toor, Saif ul Islam, Ghufran Ahmed, Sohail Jabbar, Shehzad Khalid, Abdullahi Mohamud Sharif, Energy efficient edge-of-things, 2019(1), EURASIP Journal on Wireless Communications and Networking, 2019. [IF- 1.830]
83. Farhan Ullah, Hamad Naeem, Muhammad Rashid Naeem, Sohail Jabbar, Shehazad Khalid, Fadi Al?Turjman, Abdelrahman Abuarqoub, Detection of clone scammers in Android markets using IoT?based edge computing, Transactions on Emerging Telecommunications Technologies, 2019. [IF- 1.670]
84. SM Usman, S Khalid, R Akhtar, Z Bortolotto, Z Bashir, H Qiu, Using scalp EEG and intracranial EEG signals for predicting epileptic seizures: Review of available methodologies, 71, 258-269, Seizures, 2019. [IF- 2.522]
85. Uvais Qidwai, Junaid Chaudhry, Sohail Jabbar, Hafiz Maher Ali Zeeshan, Naeem Janjua, Shehzad Khalid, Using casual reasoning for anomaly detection among ECG live data streams in ubiquitous healthcare monitoring systems, Journal of Ambient Intelligence and Humanized Computing, 10 (10), 4085-4097, 2019. [IF- 1.423]
86. F Ullah, H Naeem, S Jabbar, S Khalid, MA Latif, F Al-Turjman, L Mostarda, Cyber security threats detection in internet of things using deep learning approach, 7, 124379-124389, IEEE Access, 2019. [IF- 3.745]
87. M Ramzan, SM Awan, H Aldabbas, A Abid, M Farhan, S Khalid, RMA Latif, Internet of medical things for smart D3S to enable road safety, 15 (8), International Journal of Distributed Sensor Networks, 2019. [IF- 1.151]
88. F Shaukat, G Raja, R Ashraf, S Khalid, M Ahmad, A Ali, Artificial neural network based classification of lung nodules in CT images using intensity, shape and texture features, 10 (10), 4135-4149, Journal of Ambient Intelligence and Humanized Computing, 2019. [IF- 4.594]
89. Syed Muhammad Usman, Shehzad Khalid, Muhammad Haseeb Aslam, “Epileptic Seizures Prediction Using Deep Learning Techniques, 8(1), 39998-40007, IEEE Access, 2020. [IF- 4.098]
90. Ramsha Baig, Maryam Bibi, Anmol Hamid, Sumaira Kausar, Shahzad Khalid, Deep Learning Approaches Towards Skin Lesion Segmentation and Classification from Dermoscopic Images – A Review, 16(5), 513-533, Current Medical Imaging Reviews, 2020. [IF- 0.574]
91. Hamad Naeem, Farhan Ullah, Muhammad Rashid Naeem, Shehzad Khalid, Danish Vasan, Sohail Jabbar, Saqib Saeed, Malware detection in industrial internet of things based on hybrid image visualization and deep learning model, vol. 105, https://doi.org/10.1016/j.adhoc.2020.102154, Ad Hoc Networks, 2020. [IF- 3.643]
92. KR Malik, M Ahmad, S Khalid, H Ahmad, F Al?Turjman, S Jabbar, Image and command hybrid model for vehicle control using Internet of Vehicles, 31(5), Transactions on Emerging Telecommunications Technologies, 2020. [IF – 1.670]
93. Farhan Ullah, Junfeng Wang, Muhammad Farhan, Sohail Jabbar, Zhiming Wu, Shehzad Khalid, Plagiarism detection in students’ programming assignments based on semantics: multimedia e-learning based smart assessment methodology, 79(13), 8581-8598, Multimedia Tools and Applications, doi: 10.1007/s11042-018-5827-6, 2020. [IF – 1.530]
94. Mudassar Ahmad, Usman Ahmad, Md Asri Ngadi, Muhammad Asif Habib, Shehzad Khalid, Rehan Ashraf, Loss Based Congestion Control Module for Health Centers Deployed by Using Advanced IoT Based SDN Communication Networks, 48(2), International Journal of Parallel Programming, 2020. [IF – 1.244]
95. Syed Muhammad Usman, Shehzad Khalid, Zafar Bashir, Epileptic seizure prediction using scalp electroencephalogram signals, https://doi.org/10.1016/j.bbe.2021.01.001, Biocybernetics and Biomedical Engineering, 2021. [IF – 2.537]
96. Aysha Maryam Ali, Mohammed A. Al Ghamdi, Muhammad Munwar Iqbal, Shehzad Khalid, Hamza Aldabbas, Saqib Saeed, Next-generation UWB antennas gadgets for human health care using SAR, EURASIP Journal on Wireless Communications and Networking volume 2021, Article number: 33, 2021. [IF – 3.79]
97. Rana M. Amir latif, Muhammad Farhan, Osama Rizwan, Majid Hussain, Sohail Jabbar, Shehzad Khalid, Retail level Blockchain transformation for product supply chain using truffle development platform, https://doi.org/10.1007/s10586-020-03165-4, Cluster Computing, 2021. [IF – 3.458]
98. Usman Rauf Kamboh, Ubaid Ullah, Shehzad Khalid, Umar Raza, Chinmay Chakraborty & Fadi Al-Turjman, Path loss modelling at 60 GHz mmWave based on cognitive 3D ray tracing algorithm in 5G, Peer-to-Peer Networking and Applications, 2021. [IF – 2.793]
99. Muhammad Atif Butt, Faisal Riaz, Shehzad Khalid, Samia Abid, Muhammad Asif Habib, Sarmad Shafique and Kijun Han, Micro-electromechanical system based optimized steering angle estimation mechanism for customized self-driving vehicles, Measurement and Control, 54(3-4), pp. 429-438, 2021. [IF – 1.704]
100. M Rasib, MA Butt, S Khalid, S Abid, F Raiz, S Jabbar, K Han, Are Self-Driving Vehicles Ready to Launch? An Insight into Steering Control in Autonomous Self-Driving Vehicles, Mathematical Problems in Engineering 2021. [IF – 1.305]
101. Khan MT, Azam N, Khalid S, Aziz F (2022) Hierarchical lifelong topic modeling using rules extracted from network communities. PLoS ONE 17(3): e0264481. https://doi.org/10.1371/journal.pone.0264481, 2022. [IF – 3.24]
102. M. Wasim Abbas Ashraf, Chuanhe Huang, Shehzad Khalid, Amir Saeed Rana, Mudassar Ahmad, Umar Raza, Dynamic Naming Scheme and Lookup Method Based on Trie for Vehicular Named Data Network, Wireless Communications and Mobile Computing, Article ID 6539532, 2022. [IF – 2.336]
103. Haseeb Aslam, Syed Muhammad Usman, Shehzad Khalid, Saddam Hussain, Syed Sajid Ullah, Classification of EEG Signals for Prediction of Epileptic Seizures, Applied Sciences, 2022. [IF – 2.838]
104. Amna Waheed Awan, Syed Muhammad Usman, Shehzad Khalid, Aamir Anwar, Roobaea Alroobaea, Saddam Hussain, Jasem Almotiri, Syed Sajid Ullah and Muhammad Usman Akram, An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals, Sensors, 2022, 22, 9480. https://doi.org/10.3390/s22239480. [IF – 3.576]
105. Shah, S.M.A., Usman, S.M., Khalid, S., Rehman, I.U., Anwar, A., Hussain, S.,  Ullah, S.S., Elmannai, H., Algarni, A.D., Manzoor,W., An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications. Sensors 2022, 22, 9744. https://doi.org/10.3390/s22249744[IF – 2.690]
106. Khan, A.R., Yasin, A., Usman, S.M., Hussain, S., Khalid, S., Ullah, S.S., Exploring Lightweight Deep Learning Solution for Malware Detection in IoT Constraint Environment. Electronics 2022, 11, 4147. https://doi.org/10.3390/electronics11244147. [IF – 3.576]
107. Z. Waheed, S. Khalid, S. M. Riaz, S. Gul and R. Tariq, “Resource-Restricted Environments based Memory-Efficient Compressed Convolutional Neural Network Model for Image-level Object Classification,” in IEEE Access, doi: 10.1109/ACCESS.2022.3230008. [IF – 3.367]

108. W. A. Ashraf, C. Huang, S. Khalid, A. S. Rana, M. Ahmad, and U. Raza, “Dynamic naming scheme and lookup method based on trie for vehicular named data network,” Wireless Communications and Mobile Computing, vol. Article ID 6539532, 2022, [IF – 2.336].
109. Aslam, S. M. Usman, S. Khalid, S. Hussain, and S. S. Ullah, “Classification of eeg signals for prediction of epileptic seizures,” Applied Sciences, 2022, [IF – 2.838].
110. W. Awan, S. M. Usman, S. Khalid, et al., “An ensemble learning method for emotion charting using multimodal physiological signals,” Sensors, vol. 22, no. 22, p. 9480, 2022, [IF – 3.576]. doi: 10.3390/s22239480.
111. Bhatti, A. Arif, W. Khalid, et al., “Recognition and classification of handwritten urdu numerals using deep learning techniques,” Applied Sciences, 2022, [IF – 2.987].
112. R. Khan, A. Yasin, S. M. Usman, S. Hussain, S. Khalid, and S. S. Ullah, “Exploring lightweight deep learning solution for malware detection in iot constraint environment,” Electronics, vol. 11, no. 11, p. 4147, 2022, [IF – 3.576]. doi: 10.3390/electronics11244147.
113. Khan, N. Azam, S. Khalid, and F. Aziz, “Hierarchical lifelong topic modeling using rules extracted from network communities,” PLoS ONE, vol. 17, no. 3, e0264481, 2022, [IF – 3.24].
114. M. A. Shah, S. M. Usman, S. Khalid, et al., “An ensemble model for consumer emotion prediction using eeg signals for neuromarketing applications,” Sensors, vol. 22, no. 22, p. 9744, 2022, [IF – 2.690]. doi: 10.3390/s22249744.

 Conference

1. Andrew Naftel and Shehzad Khalid, “Video Sequence Indexing Through Recovery of Object Based Motion Trajectories”, Irish Machine Vision and Image Processing Conference, 232-239, Trinity College, Dublin, Sep 1-3, 2004.
2. Naftel and S. Khalid, “Indexing and Retrieval of Video Clips via Object Motion Trajectory Descriptors”, Visualization, Imaging and Image Processing, 452-141, Sep 6-8, 2004, Marbella, Spain.
3. Khalid and A. Naftel, “Evaluation of Matching Metrics for Trajectories-based Indexing and Retrieval of Video Clips”, IEEE workshop on Applications of Computer Vision, Jan 5-7 2005, Colorado, U.S.A.
4. Shehzad Khalid and Andrew Naftel, “Motion Trajectory Clustering for Video Retrieval Using Spatiotemporal Approximation”, 8th International Conference on Visual Surveillance Systems, July 4, 2005, Amsterdam, Holland.
5. Shehzad Khalid and Andrew Naftel, “Motion Clustering Using Spatiotemporal Approximation” IASTED international conference on Internet and Multimedia Systems and Applications, August 15-17,2005, Honololu, Hawaii,U.S.A.
6. Andrew Naftel and Shehzad Khalid, “Classification and Prediction of Motion Trajectories Using Spatiotemporal Approximation”, BMVC workshop on Human Activity Recognition and Modelling, 9th Sep, 2005, Oxford, U.K.
7. Shehzad Khalid and Andrew Naftel, “Classifying Spatiotemporal Object Trajectories using Unsupervised Learning of Basis Function Coefficients”, 3rd ACM International Workshop on Video Surveillance and Sensor Networks, Nov. 11-12, 2005, Singapore.
8. Shehzad Khalid and Andrew Naftel, “Detecting Anomalous Motion Trajectories in the Coefficient Space”, IEEE International Conference on Computer Vision Systems, Jan 5-7, 2006, New York, U.S.A.
9. Shahid Razzaq, Shehzad Khalid, “Image Matching using Feature Set Transformations”, in IEEE ICET, pp. 218-223, September 2011.
10. Shehzad Khalid, “Robust shape matching using global feature space representation of contours”, in ICNC’12-MCC, pp. 724 – 728, Maui, Hawaii, USA, Feb., 2012.
11. Shehzad Khalid, Sadaf Mukhtar, “An approach to improve efficiency and accuracy of sophisticated and intelligent shape matching techniques”, IEEE 4th International Conference on Simulation, Modeling and Simulation, Bangkok, Thailand, 29-31 January, 2013.
12. Shehzad Khalid, Sannia Arshad, “Framework for constructing hybrid classifier using weight learning to combine heterogeneous classifiers.” IEEE 5th International Conference on Computational Intelligence, Communication System and Networks. Seoul, South Korea, 24-26 September, 2013.
13. Shehzad Khalid, Sannia Arshad, “A Robust Ensemble based Approach to Combine Heterogeneous Classifiers in the Presence of Class Label Noise”, IEEE 5th International Conference on Computational Intelligence, Communication System and Networks. Seoul, South Korea, 24-26 September, 2013.
14. Anwar Shaukat, Shehzad Khalid, “A survey of e-learning techniques and the role of agent based assistance”, IEEE 5th International Conference on Computational Intelligence, Communication System and Networks. Seoul, South Korea, 24-26 September, 2013.
15. Sadaf Sajjad, Shehzad Khalid, “Preprocessing Approach Identifying and Removing Noise”, 16th IEEE International Conference of Modelling and Simulation, Cambridge University, 26-28 March, 2014.
16. Mubashir Ali, Shehzad Khalid, Muhammad Haneef Saleemi, in 2nd international conference on Computational and Social Sciences, Turkey, August 26-28, 2014.
17. Mazhar Iqbal, Shehzad Khalid, Usman Akbar, News Classification Based On Their Headlines: A Review, 17th IEEE INMIC 2014, Bahria University, Karachi, Pakistan.
18. Uzma Jamil, Shehzad Khalid, Comparative Study of Classification Techniques Used in Skin Lesion Detection Systems, 17th IEEE INMIC 2014 Conference, Bahria University, Karachi, Pakistan.
19. Khurram Mustafa Abbassi, Irfan ul Haq, Ahmed Kamran Malik, Shehzad Khalid, Saba Fazil, Hanif Durad, On Access Control for Cloud Service Chains, 17th IEEE INMIC 2014 Conference, Bahria University, Karachi, Pakistan.
20. M. Usman Hashmi, Ammar Ajmal, Arsalan Akhter, Shehzad Khalid, Waleed Manzoor, Application layer time synchronization utilizing symbol time recovery in wireless sensor networks, 17th IEEE USKIM-AMSS, Cambridge, U.K, March, 2015.
21. Uzma Jamil, Shehzad Khalid, Valuable pre-processing and segmentation techniques used in automated skin lesion detection systems, 17th IEEE USKIM-AMSS, Cambridge, U.K, 25-27 March, 2015.
22. Shehzad Khalid, Uzma Naqvi, Imran Siddiqi, Framework for human identification through offline handwritten documents, 2nd IEEE International conference on computer, communication, and control technology, Kuching, Malaysia, April, 2015.
23. Israr Uddin Khattak, Imran Siddiqi, Shehzad Khalid and Chawki Djeddi, Recognition of Urdu ligatures: A Holistic Approach, 13th International Conference on Document Analysis and Recognition, Gammarth, Tunisia, 23-26 August, 2015.
24. Jawad chughtai, Mehr Yahya, Shehzad Khalid, ONLINE SIGNATURE VERIFICATION USING CHEBYSHEV POLYNOMIALS, In 3rd International Conference on Computational and Social Siences, August 25-27, August 2015, Johor Bahru, Malaysia.
25. Israr-ud-din, Imran Siddiqi, Shehzad Khalid, LINE AND LIGATURE SEGMENTATION IN PRINTED URDU DOCUMENT IMAGES, In 3rd International Conference on Computational and Social Siences, August 25-27, 2015, Johor Bahru, Malaysia.
26. Uzma Naqvi, Shehzad Khalid, Imran Siddiqi, Review of Offline Text Independent Writer Identification Techniques, In 3rd International Conference on Computational and Social Siences, August 25-27, 2015, Johor Bahru, Malaysia.
27. Waqas Ahmed, Shehzad Khalid, “ECG Signal Processing for Recognition of Cardiovascular Diseases: A Survey”, IEEE 6th International Conference on Innovative Computing Technology (INTECH 2016), September 2016, Islamabad.
28. Junaid Majeed, M. Irfan Malik, M. Taimoor Khan, Shehzad Khalid, “Real-Time Government Policy Monitoring Framework Using Expert Guided Topic Modeling”, IEEE 6th International Conference on Innovative Computing Technology (INTECH 2016), September 2016, Islamabad.
29. Zeeshan Haider, Shehzad Khalid, “Survey on Effective GPS Spoofing Countermeasures”, IEEE 6th International Conference on Innovative Computing Technology (INTECH 2016), September 2016, Islamabad.
30. Kainat Hina, Shehzad Khalid, “A Review on Automatic Tuberculosis Screening Using Chest Radiographs”, IEEE 6th International Conference on Innovative Computing Technology (INTECH 2016), September 2016, Islamabad.
31. Uzma Jamil, Shehzad Khalid, Usman Akram,“Dermoscopic feature analysis for Melanoma Recognition and Prevention”, IEEE 6th International Conference on Innovative Computing Technology (INTECH 2016), September 2016, Islamabad.
32. Uzma Jamil, Shehzad Khalid, Usman Akram,“Dermoscopic image enhancement and hair artifact removal using Gabor Wavelet”, IEEE 6th International Conference on Innovative Computing Technology (INTECH 2016), September 2016, Islamabad.
33. Muhammad Taimoor Khan, Sonam Yar, Shehzad Khalid and Furqan Aziz, “Evolving long-term dependency rules in Lifelong Learning Models”, IEEE International Conference on Knowledge Engineering and Applications, Sep, 2016.
34. Muhammad Irfan Malik, Muhammad Junaid Majeed, Muhammad Taimoor Khan, Shehzad Khalid, Self-refining Targeted Readings Recommender System, IEEE 2nd international conference on robotics and artificial intelligence, Nov, 2016, Pakistan.
35. Uzma Jamil, Shehzad Khalid, Usman Akram, Digital Image Preprocessing and Hair Artifact Removal by using Gabor Wavelet, 13th International SoC Design Conference, October, 23-26, Korea.
36. Taimoor Khan, Sonam Yar, Shehzad Khalid, Histogram Based Rule Verification in Lifelong Learning Models, 19th IEEE international multi-topic conference (INMIC), December 2016.
37. Taimoor Khan, Shehzad Khalid, Multimodal Rule Transfer into Automatic Knowledge Based Topic Models, 19th IEEE international multi-topic conference (INMIC), December 2016.
38. Taimoor Khan, Shehzad Khalid, Furqan Aziz, Unsupervised Aspect Extraction from Large-scale data, in 14th IEEE international conference on Frontiers of Information Technology (FIT2016), Islamabad, Pakistan, December 2016.
39. Israr Uddin, Imran Siddiqi, Shehzad Khalid, A Holistic Approach for Recognition of Complete Urdu Ligatures using Hidden Markov Models, 15th International Conference on Frontiers of Information Technology, December, 2017, Islamabad.
40. Khan, M. T., and Khalid S., “Paradigmatic and Syntagmatic Rule Extraction for Lifelong Topic Models”, 6th IEEE International Conference on Electrical Engineering and Informatics, 25-27th Nov., ICEEI (Malaysia) 2017.
41. Abbas M., Rauf A., Riaz M. U., Khan, M. T., and Khalid S., “Context-aware Youtube Recommender System”, 7th International Conference on Information and Communication Technologies, 30-31st Dec., ICICT (Karachi) 2017.
42. Shehzad Khalid, Taimoor Khan, Opinion Reason Mining: Implicit Aspects Beyond Applying Aspects, 21st Saudi Computer Society National Computer Conference, 25-26 April, 2018, Riyadh, Saudi Arabia.
43. Shehzad Khalid, Taimoor Khan, A Novel Opinion Reason Mining Framework Exploiting Linguistic Association, 6th International Conference on Advances in Computing, Communication and Information Technology – CCIT 2018, 28 – 29 April, 2018, Zurich – Switzerland.
44. Mubashir Ali ; Shehzad Khalid ; Mazhar Iqbal Rana ; Fizza Azhar, A probabilistic framework for short text classification, 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, USA, Jan. 2018
45. Khan, M. T., and Khalid S., “Trends and Challenges in Lifelong Machine Learning Topic Models”, 2nd IEEE International Conference on Computing, Electronics and Electrical Engineering, 12-13th Nov., ICE CUBE (Quetta) 2018
46. Khan, M. T., Khalid S. and Aziz F., “Graph Clustering Based Size Varying Rules for Lifelong Topic Modeling”, 7th International Conference on Computer Technology and Science, December, ICCTS (Ho Chi Minh City, Vietnam) 2018.
47. Hoorul Ain Tahir, Abdullah Waqar, Shehzad Khalid, Syed Muhammad Usman, Wildfire detection in aerial images using deep learning, 2nd International Conference on Digital Futures and Transformative Technologies, NUST, May 2022, Pakistan.
48. Zahra Waheed Awan, Shehzad Khalid, Sajid Gul, Theoretical CNN Compression Framework for Resource-Restricted Environments, 2nd International Conference on Digital Futures and Transformative Technologies, NUST, May 2022, Pakistan.