Dr. Mudassir Khan
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Dr. Mudassir Khan

Assistant Professor
Department of Computer Science, College of Science & Arts Tanumah, King Khalid University, Saudi Arabia


Highest Degree
Ph.D. in Computer Science from Noida International University, India

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Biography

Dr. Mudassir Khan is currently working as Assistant Professor in the Department of Computer Science at College of Science & Arts Tanumah, King Khalid University Abha Saudi Arabia. He has completed his Ph.D. in Computer Science from Noida International University Gautam Budh Nagar (NIU) India. He has completed his Graduation and Masters from India. He has more than 12 years of Teaching Experience.

Area of Interest:

Computer Sciences
100%
Big Data Analytics
62%
E-Learning
90%
Cloud Computing
75%
Machine Learning
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
28
Abstracts
0

Selected Publications

  1. Venkatesh, B., M. Khan, B. Alabduallah, A. Kiran, J.C. Babu, B. Bhargavi and F. Alhayan, 2023. Design optimization of counter-flow double-pipe heat exchanger using hybrid optimization algorithm. Processes, Vol. 11. 10.3390/pr11061674.
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  2. Vellaichamy, J., S. Basheer, P.S.M. Bai, M. Khan, S.K. Mathivanan, P. Jayagopal and J.C. Babu, 2023. Wireless sensor networks based on multi-criteria clustering and optimal bio-inspired algorithm for energy-efficient routing. Appl. Sci., Vol. 13. 10.3390/app13052801.
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  3. Chinnasamy, P., A. Albakri, M. Khan, A.A. Raja, A. Kiran and J.C. Babu, 2023. Smart contract-enabled secure sharing of health data for a mobile cloud-based e-health system. Appl. Sci., Vol. 13. 10.3390/app13063970.
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  4. Ting, L., M. Khan, A. Sharma and M.D. Ansari, 2022. A secure framework for IoT-based smart climate agriculture system: Toward blockchain and edge computing. J. Intell. Syst., 31: 221-236.
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  5. Lu, Y., M. Khan and M.D. Ansari, 2022. Face recognition algorithm based on stack denoising and self-encoding LBP. J. Intell. Syst., 31: 501-510.
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  6. Li, X., M. Khan and M.D. Ansari, 2022. Ant colony algorithm for design and development of data structure visualization system. Recent Adv. Electr. Electron. Eng., 10.2174/2352096515666220617111139.
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  7. Khan, M., S. Hariharasitaraman, S. Joshi, V. Jain, M. Ramanan, A. SampathKumar and A.A. Elngar, 2022. A deep learning approach for facial emotions recognition using principal component analysis and neural network techniques. The Photogramm. Rec., 10.1111/phor.12426.
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  8. Khan, M., M. Alam, S. Basheer, M.D. Ansari and N. Kumar, 2022. A MapReduce Clustering Approach for Sentiment Analysis Using Big Data. In: Proceedings of the International Conference on Cognitive and Intelligent Computing. Cognitive Science and Technology, Kumar, A., G. Ghinea, S. Merugu and T. Hashimoto, (Eds.), Springer Nature Singapore, pp: 223-229.
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  9. Khan, M., A. Ilavendhan, C.N.K. Babu, V. Jain, S.B. Goyal, C. Verma, C.O. Safirescu and T.C. Mihaltan, 2022. Clustering based optimal cluster head selection using bio-inspired neural network in energy optimization of 6LowPAN. Energies, 10.3390/en15134528.
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  10. Khan, M. and M. Alam, 2022. Big data analytics to authenticate bank notes using K-means clustering. Helix, 11: 1-6.
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  11. Ahmed, M., M.D. Ansari, N. Singh, V.K. Gunjan, B.V.S. Krishna and M. Khan, 2022. Rating-based recommender system based on textual reviews using IoT smart devices. Mob. Inf. Syst., 10.1155/2022/2854741.
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  12. Lakshmi, S.V., S. Krishnamoorthy, M. Khan, N. Kumar and V. Sahni, 2021. Quantum Cryptography. In: Limitations and Future Applications of Quantum Cryptography, Kumar, N., A. Agrawal, B. Chaurasia and R. Khan, (Eds.), IGI Global, pp: 47-61.
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  13. Vincent, E.S., M. Vivian, M. Valeria, C. J. Chukwu, K.M. Evelyn, N.P. Onyemaechi & E.C. Anoliefo, 2020. Influence of computer based test (CBT) examination on academic performance of engineering students in Nigerian universities. Int. J. Mech. Prod. Eng. Res. Dev., 10: 5053-5062.
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  14. Rashid, E., M.D. Ansari, V.K. Gunjan and M. Khan, 2020. Enhancement in Teaching Quality Methodology by Predicting Attendance Using Machine Learning Technique. In: Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough, Gunjan, V., J. Zurada, B. Raman and G. Gangadharan, (Eds.), Springer International Publishing, pp: 227-235.
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  15. Khan, M., M.D. Ansari and S.Y. Shahdad, 2020. Challenges and Uses of Big Data Analytics for Social Media. In: ICDSMLA 2019. Lecture Notes in Electrical Engineering, Kumar, A., M. Paprzycki and V. Gunjan, (Eds.), Springer Singapore, pp: 1074-1081.
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  16. Khan, M., A. Malviya and S.K. Yadav, 2020. Big Data and Social Media Analytics- A Challenging Approach in Processing of Big Data. In: ICCCE 2020, Kumar, A. and S. Mozar, (Eds.), Springer Singapore, pp: 611-622.
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  17. Khan, M. and S. Basheer, 2020. Using Web Log Files the Comparative Study of Big Data with Map Reduce Technique 2020 International Conference on Intelligent Engineering and Management (ICIEM), June 17-19, 2020 IEEE Xplore: pp: 97-103.
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  18. Khan, M. and M.D. Ansari, 2020. Multi-criteria software quality model selection based on divergence measure and score function. J. Intell. Fuzzy Syst., 38: 3179-3188.
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  19. Khan, M. and A. Malviya, 2020. Big data approach for sentiment analysis of twitter data using Hadoop framework and deep learning, 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), Feb. 24-25, 2020 IEEE Xplore pp: 1-5.
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  20. Shahdad, S.Y., M. Khan, H. Sultana, M.A. Hussain and S.M. Bilfaqih, 2019. Routing protocols for constraint devices internet of things network. 2019 International Conference on Communication and Signal Processing (ICCSP), Apr. 04-06, 2019 IEEE Xplore pp: 0114-0117.
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  21. Khan, M., A. Malviya and M. Alam, 2019. Map reduce clustering in incremental big data processing. Int. J. Innovative Technol. Exploring Eng., 9: 4205-4211.
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