Dr. S. Saqib Raza Rizvi

Assistant Professor

syed.saqibraza@cust.edu.pk

+92-51-111-555-666

PROFILE SUMMARY

Dr. Syed Saqib Raza Rizvi completed his Ph.D. degree in Computer Science from the National College of Business Administration Economics, Lahore Pakistan, in 2020 in the field of Machine Learning. He joined academia in 2012 where he worked in different positions including Lecturer and Assistant Professor and Head of Department in well-reputed institutes of the country. He also provides consultancy to different institutes and research students locally and abroad. He has more than 12 years of experience in the field of higher education and the IT industry. Dr. Syed Saqib Raza’s research interests are in Artificial Intelligence, Machine Learning, Computer Vision etc. He has supervised numerous MS and currently co supervising one Ph.D. research thesis. He authored eight ISI-indexed and impact factor research papers and four conference publication.

QUALIFICATION
PhD	Computer Science	National College of Business Administration & Economics, Lahore, Pakistan	2020
MPhil	Computer Science	University of Lahore, Lahore, Pakistan	2011

TEACHING EXPERIENCE
Assistant Professor	Capital University of Science and Technology (CUST), Islamabad	Since – 2022
Assistant Professor	Sharif College of Engineering and Technology, Lahore.	2020 – 2022
Assistant Professor	University of Lahore, Lahore, Pakistan.	2013 – 2020

MANAGEMENET EXPERIENCE
HOD	Sharif College of Engineering and Technology, Lahore.	2020 – 2022

RESEARCH AREAS / INTERESTS
1.	Machine Learning
2.	Data mining
3.	Data Science
4.	Artificial Intelligence

RESEARCH SUPERVISION
1.	MS	Fuzzy Logic in the Diagnosis of Cardiovascular Disease, The Minhaj University, 2019.
2.	MS	Exploring Feasibility of Software Interface for Illiterate Users, The University of Lahore, 2017.
3.	MS	A Scalable Intrusion Detection System for High-Speed Networks, National College of Business Administration & Economics, 2017.
4.	MS	Open Source Software Engineering Past, Present, and Future, The University of Lahore, 2016.

SR.	JOURNAL PUBLICATIONS	YEAR
1	A. Ikram, M. A. Jalil, A. B. Ngah, S. Raza, A. S. Khan, Y. Mahmood, N. Kama, A. Azmi, and A. Alzayed, “Project assessment in offshore software maintenance outsourcing using deep extreme learning machines.” Computers, Materials & Continua, vol. 74, no. 1, 2023.	2023
2	S. S. R. Rizvi, M. A. Khan, S. Abbas, M. Asadullah, N. Anwer, and A. Fatima, “Deep extreme learning machine-based optical character recognition system for nastalique urdu-like script languages,” The Computer Journal, vol. 65, no. 2, pp. 331–344, 2022.	2022
3	S. S. R. Rizvi, A. Sagheer, K. Adnan, and A. Muhammad, “Optical character recognition system for nastalique urdu-like script languages using supervised learning,” International Journal of Pattern Recognition and Artificial Intelligence, vol. 33, no. 10, p. 1953004, 2019.	2019
4	M. Ullah, M. Khan, S. Abbas, A. Athar, S. Raza, and G. Ahmad, “Blind channel and data estimation using fuzzy logic-empowered opposite learning-based mutant particle swarm optimization,” Computational Intelligence and Neuroscience, vol. 2018, pp. 1–12, 12 2018.	2018
5	S. S. R. Rizvi, S. Abbass, A. U. Rehman, T. J. Zia, M. Younas, and M. AsadUllah, “Socio-iot enabled smart drive system for smart cities,” INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, vol. 18, no. 8, pp. 1–12, 2018.	2018
6	M. AsadUllah, S. Abbas, N. S. Naz, S. S. R. Rizvi, T. Zia, and K. Sardar, “Social networks of things for smart homes using fuzzy logic,” International Journal of Computer Science and Network Security, vol. 18, no. 2, pp. 168–173, 2018.	2018
7	D. S. Bhatti, S. Saeed, M. A. Ullah, N. S. Naaz, S. S. R. Rizvi, and S. T. Ali, “Srowm: Smart review on wormhole mitigation,” Int. J. Comput. Sci. Netw. Secur, vol. 17, no. 12, pp. 178–187, 2017.	2017
8	S. RIZVI, M. A. Ullah, S. Abbas, and S. Naseem, “Enhancing cloud security using vkc as a service,” International Journal of Computer Science and Network Security, vol. 17, no. 6, pp. 185–190, 2017.	2017

SR.	CONFERENCE PUBLICATIONS	YEAR
1	S. S. R. Rizvi, “Beyond Centralization: Unifying IoT and Weighted Federated Learning for Extreme Weather Forecasting”, RACIST, Education University of Lahore, Pakistan.	2024
2	S. S. R. Rizvi, “Ontology-based Intelligence: Marvin Minskey based Thinking Machine”, ICCSAT, Garrison University Lahore, Pakistan.	2021
3	S. S. R. Rizvi, “Exploring Feasibility of Interface for Common Computer Applications for Illiterate Users”, 14th Annual Conference of ISOSS, NCBA&E Multan, Pakistan.	2017
4	S. S. R. Rizvi, “A Scalable Intrusion Detection System for High-Speed Networks”, 14th Annual Conference of ISOSS, NCBA&E Multan, Pakistan.	2017

Our Team

Dr. S. Saqib Raza Rizvi

PROFILE SUMMARY

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