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Faculty Profile

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Dr Fiaz Gul Khan

Tenured Associate Professor
Area of Interest: Machine learning, Data Mining, Data sciences, GPGPU, Parallel and Distributed Computing
Email: [email protected]
Phone: +92-992-383591-5
 
Academics/ Degrees
  • PhD, Politecnico di Torino, Italy, 2013
  • MS, COMSATS Institute of Information Technology, Abbottabad, Pakistan, 2008
  • BIT, COMSATS Institute of Information Technology, Abbottabad, Pakistan, 2006
 
Journal Publications
1. EHTISHAM KHAN JADOON,F.G Khan,SAJID SHAH,Ahmad Khan,MUHAMMED ELAFFENDI Deep Learning-Based Multi-Modal Ensemble Classification Approach for Human Breast Cancer Prognosis, IEEE Access, 2023
2. Haleema Attique,Sajid.Shah,Ahmad Khan,F.G Khan,Saima Jabeen, Mohammed ELAffendi Multiclass Cancer Prediction Based on Copy Number Variation Using Deep Learning, Computational Intelligence and Neuroscience, 2022
3. Sajid.Shah,F.G Khan Multiclass Cancer Prediction Based on Copy Number Variation Using Deep Learning, Computational Intelligence and Neuroscience , 2022
4. Sajid.Shah,F.G Khan DNA methylation prediction using reduced features obtained via Gappy Pair Kernel and Partial Least Square, IEEE Access, 2022
5. Sajid.Shah,Saima Jabeen,F.G Khan,ALTAF UR RAHMAN,MOHAMMED ELAFFENDI,Ahmad Khan DNA methylation prediction using reduced features obtained via Gappy Pair Kernel and Partial Least Square, IEEE Access, 2022
6. AN Khan,F.G Khan A lightweight and compromise‐resilient authentication scheme for IoTs, Transactions on Emerging Telecommunications Technologies, 2022
7. Umair Yousaf ,Ahmad Khan,Hazrat Ali ,F.G Khan,Dr. Zia ur Rehman,Farman Ali ,Sangheon Pack,Safdar Ali A Deep Learning Based Approach for Localization and Recognition of Pakistani Vehicle License Plates, Sensors, 2021
8. F.G Khan A deep learning based review on abdominal images, Multimedia Tools and Applications, 2021
9. F.G Khan,Sajid.Shah,Ahmad Khan,Dr. Zia ur Rehman Diabetic Retinopathy Detection Using VGG-NIN a Deep Learning Architecture, IEEE Access, 2021
10. F.G Khan Ensemble Framework of Deep CNNs for Diabetic Retinopathy Detection, Computational Intelligence and Neuroscience, 2020
11. Muhammad Amir Khan,I.A.Khan,Ahmad Din,W.Jadoon,R.Jadoon,F.G Khan,AN Khan,Usman Ali Khan Towards a Complete Set of Gym Exercises Detection Using Smartphone Sensors, Scientific Programming, 2020
12. I.A.Khan,Ahmad Din,W.Jadoon,F.G Khan,AN Khan,R.Jadoon Towards a Complete Set of Gym Exercises Detection Using Smartphone Sensors, Scientific Programming, 2020
13. F.G Khan,Ahmad Khan,Sajid.Shah Deep Learning Techniques for Diabetic Retinopathy Detection, Current medical imaging, 2020
14. I.A.Khan,Ahmad Khan,B.Nazir,S.S.Hussain,F.G Khan,I.Khan Urdu Translation: the Validation and Reliability of the 120-Item Big Five IPIP Personality Scale, Current Psychology, 2019
15. F.G Khan,Sajid.Shah,I.A.Khan,W.Jadoon,Ahmad Khan A Deep Learning Ensemble Approach for Diabetic Retinopathy Detection, IEEE Access, 2019
16. Anum Khurshid,AN Khan,F.G Khan,Dr. Mazhar Ali,J.Shujah,Atta Ur Rehman Khan Secure‐CamFlow: A device‐oriented security model to assist information flow control systems in cloud environments for IoTs, Concurrency and Computation Practice and Experience, 2019
17. W.Jadoon,Dr. Zia ur Rehman,I.A.Khan,B.Nazir,F.G Khan Robust Face Recognition under Limited Training Sample Scenario using Linear Representation, KSII Transactions on Internet and Information Systems, 2018
18. F.G Khan,Sajid.Shah Aggregated provenance and its implications in clouds, Future Generation Computer Systems, April 2018, 2018
19. AN Khan,Dr. Mazhar Ali,F.G Khan,I.A.Khan,W.Jadoon A comparative study and workload distribution model for re‐encryption schemes in a mobile cloud computing environment , Journal of Communication Systems, Wiley, 2017, 2017
20. F.G Khan,AN Khan Introducing ToPe-FFT; an OpenCL based FFT Library targeting GPUs, Concurrency and Computation: Practice and Experience by wiley, 2017
21. Sajid.Shah,F.G Khan,F. Wahid Identification of microRNA precursors using reduced and hybrid features, Molecular BioSystems, 15 June, 2017, 2017
22. F.G Khan,AN Khan,W.Jadoon,I.A.Khan An optimized magnetostatic field solver on GPU using open computing language, Concurrency and Computation practice and experience, 2017
23. F.G Khan,I.A.Khan Analyzing Virtualization based Energy Efficiency Techniques in Cloud Data Centers, International Journal of Computer Science and Information Security (IJCSIS), 2016
24. F.G Khan,B.Nazir Energy Efficient Routing Protocols in Wireless Sensor Networks: A survey, International Journal of Computer Science and Information Security (IJCSIS), 2016
25. F.G Khan,AN Khan A Comparison of Proxy Re-Encryption Schemes – A Survey, International Journal of Computer Science and Information Security (IJCSIS), 2016
26. F.G Khan,W.Jadoon Energy Efficiency techniques in cloud computing, International Journal of Computer Science and Information Security (IJCSIS),, 2016
27. F.G Khan,Sajid.Shah Service Level Agreement in Cloud Computing: A Survey, International Journal of Computer Science and Information Security (IJCSIS), 2016
28. F.G Khan Computation of Demagnetization Tensors by utilizing Fourier Properties, IEEE Transaction on Magnetics, 2014
29. F.G Khan A Review of parallel and distributed architectures for micromagnetic codes, COMPEL, 2013, 2013
30. F.G Khan A Mutual Demagnetizing Tensor for N-Body Magnetic Field Modeling, IEEE Transaction on Magnetics, 2013
31. F.G Khan FAST PARALLEL SORTING ALGORITHMS ON GPUS, International Journal of Distributed and Parallel systems (IJDPS), 2012
32. F.G Khan A hybrid Fault Tolerance Technique in Grid Computing System, The Journal of Supercomputing, 2011
33. F.G Khan Performance Evaluation of Fault Tolerance Techniques in Grid Computing System, Computers & Electrical Engineering, 2010
 
 
 
Profile/Bio
PROFESSIONAL AND RESEARCH EXPERIENCE
  • Tenured Associate Professor Department of Computer Science, COMSATS University Islamabad, Abbottabad Campus, since April 11,2022-till date
  • Assistant Professor, Department of Computer Science, COMSATS Institute of Information Technology, Abbottabad, Pakistan.
 
 
Research Interests
  • Machine learning
  • Data Mining
  • Data sciences
  • GPGPU
  • Parallel and Distributed Computing