Josephmani Puthenparampily

Prof. Mani Joseph

Professor

Head of Department of Mathematics & Computer Science

Areas of Research

Cybersecurity
Machine Learning
Information Technology
Education

Prof. Mani Joseph is an academic administrator with over 30 years of experience in higher education, currently serving as the Professor and Head of the Department of Mathematics & Computer Science at the Modern College of Business & Science (MCBS). Throughout his career, he has held various key positions, including Associate Dean for Quality Assurance & Accreditation and Assistant Dean for Academic Affairs at MCBS. Prof. Joseph has also served in notable academic and administrative roles at Sharjah College, UAE, MG University, Karunya University, and Cochin University of Science & Technology in India. His core areas of expertise encompass curriculum development, institutional and program review, institutional research, accreditation documentation, and teaching. His areas of research interest are Cybersecurity, Machine Learning and Information Technology Education. He has published several articles in these areas.

In addition to his academic roles, Prof. Joseph is a highly regarded accreditor and reviewer, serving as an External Reviewer for the Oman Academic Accreditation Authority (OAAAQA) and an ABET IT Program Evaluator. His professional affiliations include membership in esteemed organizations such as the IEEE Computer Society and ISACA. Prof. Joseph has been actively involved in mentoring educators, developing new academic programs, and participating in various accreditation and review panels. His dedication to continuous learning and his passion for education are evident in his extensive list of certifications, including those from ISACA and SAP, as well as his participation in international academic committees and conferences.

Prof. Joseph has played pivotal roles in numerous conferences, including as the Conference Chair for the 2nd International Conference on Innovation in Information Technology and Business (ICIITB 2024) and the ICCSST 2023 International Conference on Computational Sciences and Sustainable Technologies, jointly organized by MCBS and other academic partners. His commitment to enhancing quality in higher education is evident from his roles as Chair of the Academic Committee for the OQNHE 4th Conference in 2017.

Education

PhD (Communication Technology), Cochin University of Science & Technology (1993), India
M.Sc. (Electronics Major), Mahatma Gandhi University, Kerala, India

Experience Summary

Modern College of Business & Science (MCBS), Muscat, Oman

Prof. & Head, Dept. of Mathematics & Computer Science (Sept 2017 – till date)
Associate Dean for Quality Assurance & Accreditation, Professor in Computer Science (Sept 2013 – Aug 2017 & Sept 2018 -Aug 2019)
Assistant Dean for Academic Affairs & Professor in Computer Science (May 2011 – Aug 2013 & Sept 2019 – Feb 2022)
Prof & Head, Dept. of Mathematics & Computer Science (Jan 2004 – Apr 2011)

Sharjah College, Sharjah, UAE

Dean, Faculty of Computer Science & Engineering (Sept 2002 – Dec 2003)
Deputy Dean, Faculty of Computer Science & Engineering (Sept 2001 – Sept 2002)
Asst. Prof. in Computer Science (Sept 1998 – Dec 2003)

MG University, Kerala, India

Senior Lecturer (Jun 1994 – Sept 1998)

Karunya University, India

Lecturer (Sept 1993 – Jun 1994)

Cochin University of S & T (CUSAT), Cochin, India

Research Associate (Nov 1987 – Sept 1993)

Selected Publications

Saranya, P., Maheswari, R., Palanisamy, P., & Mani, J. (2024). Intelligent System for Improving Scalability by Sharding for Agriculture Supply Chain. In 2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India, 2024, pp. 1-6,
Thiruthuvanathan, M. M., Kumar, K. P., Nasar, N., Swathikiran, K. K., & Joseph, P. Mani. (2024). Security and privacy aspects in intelligence systems through blockchain and explainable AI. In XAI Based Intelligent Systems for Society 5.0 (pp. 365-400).
Jovanovic, L., Bacanin, N., Simic, V., Mani, Joseph., Zivkovic, M., & Sarac, M. (2023). Optimizing machine learning for space weather forecasting and event classification using modified metaheuristics. Soft Computing Journal, Volume 28, pages 6383–6402.
Mani, J. P., Kukatlapalli, P. K., Hothefa, S., Vijaya, P., & Jimmy, N. (2023). Smart and secure blockchain structure to track vehicle record-keeping in the Sultanate of Oman. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9). ISSN: 2321-8169
Kozakijevic, S., Salb, M. ., Elsadai, A., Mani, J., Devi, K., Dasho Sharko, A., & Muthusamy, S. (2023). Seizure Detection Via Time Series Classification Using Modified Metaheuristic Optimized Recurrent Networks. Theoretical and Applied Computational Intelligence , 1(1), 82-94.
Naeem, M., Joseph, M., & Hao, J. (2023). Is Cryptocurrencies Extreme Returns-volumes Relationship Affected by COVID-19? Review of Economics and Finance, 21(1), 2713-2725.
Jovanovic, L., Bacanin, N., Zivkovic, M., Mani, J., Strumberger, I., & Antonijevic, M. (2023, October). Comparison of YOLO architectures for face mask detection in images. In 2023 16th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) (pp. 179-182). IEEE.
Resmi, K. R., Raju, G., Padmanabha, V., & Mani, J. (2023, January). Person Identification by Models Trained Using Left and Right Ear Images Independently. In 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022) (pp. 281-288). Atlantis Press.
Mabsali, N. A., Jassim, H., & Mani, J. (2023, January). Effectiveness of Wireshark Tool for Detecting Attacks and Vulnerabilities in Network Traffic. In 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022) (pp. 114-135). Atlantis Press.
Joseph, M., Shaker, H., & Al Hosni, N. (2023, May). Development of a Blockchain-Based Vehicle History System. In International Conference on Computational Sciences and Sustainable Technologies (pp. 54-65). Cham: Springer Nature Switzerland.
Vijaya, P., Rajendran, R., Kumar, B., & Mani, J. (2023, May). Early Prediction of At-Risk Students in Higher Education Institutions Using Adaptive Dwarf Mongoose Optimization Enabled Deep Learning. In International Conference on Computational Sciences and Sustainable Technologies (pp. 15-29). Cham: Springer Nature Switzerland.
Kumar, B., Mani, J., & Akunuru, P. C. (2022). A review of wireless hacking techniques that affect the security of cloud systems. Journal of Computations & Modelling, 6(3), 87-103.
Mani, Joseph., Shaker, H., & Jovanovic, L. (2022). Sunspot occurrence forecasting with metaheuristic optimized recurrent neural networks. Theoretical and Applied Computational Intelligence, 1(1), 15-26.