Prof.(Dr.) Pramod S. Nair, Dean of Academics

Prof.(Dr.) Pramod S. Nair
Dean of Academics

EXTERNALLY FUNDED RESEARCH PROJECTS / GRANTS

• Received research project fund from Community Service and University Industry Linkage Directorate of Ethiopia in 2020 for Smart students dormitory service system for Aksum University, Axum, Ethiopia.
• Received research project fund from Community Service and University Industry Linkage Directorate of Ethiopia in 2020 for study and implement a Student Information and e-Learning Management System for secondary schools of central zones of Tigray, Ethiopia.
• Received research project fund from Community Service and University Industry Linkage Directorate of Ethiopia for study and implement a Mobile Indoor Assistive Navigation Aid for Blind People Using Tigrigna Language, Aksum University, Axum, Ethiopia in 2019.
• Received research project fund from Community Service and University Industry Linkage Directorate of Ethiopia for study and implement a software model on Complaint Management system for Aksum University, Axum, Ethiopia in 2018. The project is completed and implemented.
• Received sponsorship and grant from MPCOST (MP Council of Science and Technology, an Autonomous organization of Govt. of M.P. INDIA) for SPRINGER International Conference on Advanced Computing Networking and Informatics (ICANI-2018).
• Received sponsorship and grant from BARC (Bhabha Atomic Research Centre, Mumbai) and MPCOST (MP Council of Science and Technology, an Autonomous organization of Govt. of M.P. INDIA) for IEEE International Conference on Computer Communication and Control (IC4-2015).
• Managed to bring the AICTE (All India Council of Technical Education, New Delhi) Grant to conduct a workshop on teaching methodology, a two weeks workshop and organized on May 2015 by Medi-Caps Institute of Technology and Management, Indore, M.P. INDIA.
• Received sponsorship and grant from CGCOST (CG Council of Science and Technology, an Autonomous organization of Govt. of C.G.) for National Level Conference “Technologia-2009”. The conference held on March 13-14, 2009 at Christian College of Engineering and Technology, Bhilai,C.G. INDIA.

Prof. (Dr.) Pramod S. Nair is a recognized academic leader, widely respected for his distinguished contributions to higher education, research, and academic administration. With over 28 years of rich, blended experience across industry and academia on national and international level, he represents a rare confluence of practical expertise, academic rigor, and visionary leadership.

An accomplished administrator, academician, and researcher, Dr. Nair has played a pivotal role in multiple internationally funded research projects, underscoring his strong global academic engagement. His scholarly and professional interests are firmly rooted in future-ready and high-impact domains, including Data Mining, Data Science, Machine Learning, Artificial Intelligence, Business Analytics, Business Intelligence, Natural Language Processing, Cloud Computing, and the Internet of Things (IoT)—areas that continue to shape the digital and economic landscape worldwide.

Renowned for his commitment to practical learning, innovation, and student-centered education, Dr. Nair consistently bridges theory with real-world application. His academic philosophy goes beyond conventional teaching, focusing on preparing students not only with technical knowledge but also with leadership abilities, communication skills, ethical grounding, and industry readiness—competencies essential for success in a rapidly evolving technological ecosystem.

Driven by an uncompromising obsession for perfection, he sets exceptionally high standards in teaching, research, and institutional development. His relentless pursuit of excellence, strategic foresight, and passion for nurturing future leaders continue to inspire students, faculty, and collaborators at both national and international levels.

LIST OF RESEARCH PUBLICATIONS (Recent past)

• Yele, S., Litoriya, R., Nair, P. S., & Bandhu, K. C. (2024). Empowering the restaurant industry: Hyperledger framework for safer and more transparent food supply chains. International Journal of System Assurance Engineering and Management.
  https://doi.org/10.1007/s13198-024-02614-2
• Hussain, A. A., & Nair, P. S. (2024). An efficient deep learning-based AgriResUpNet architecture for semantic segmentation of crop and weed images. Ingénierie des Systèmes d’Information, 29(5), 1829–1845.
  https://doi.org/10.18280/isi.290516
• Barpha, V., & Nair, P. S. (2024). A smart model to detect Hindi fake news for social media platform using hybrid deep learning. International Journal of Intelligent Systems and Applications in Engineering, 12(5s), 486–493.
• Mishra, T., & Nair, P. S. (2024). Advancing agriculture predictive models for farming suitability using machine learning. International Journal of Intelligent Systems and Applications in Engineering, 12(5s), 494–502.
• Mulchandani, M., & Nair, P. S. (2024). An enhanced efficient consensus-independent model for resource capacity optimization in blockchain mining. Frontiers of Computer Science, 18(4).
  https://doi.org/10.1142/S0219467824500347
• Barpha, V., & Nair, P. S. (2023, December 8–9). Analysis and design of Hindi news detection model using machine learning. 3rd International Conference on Information and Communication Technology in Business, Industry and Government (ICTBIG-2023), Symbiosis University of Applied Sciences, Indore.
• Barpha, V., & Nair, P. S. (2023, November 25–26). A robust smart model for detecting Hindi fake news on social media platforms using hybrid deep learning approach. 3rd International Conference on Intelligent Vision and Computing (ICIVC-2023), National Institute of Technology, Agartala.
• Mulchandani, M., & Nair, P. S. (2023). IoT with distributed ledger technology: A review of advantages and challenges. International Conference on Innovation in Engineering, Technology, Science & Management (ICietsm).
• Motghare, S. M., & Nair, P. S. (2023). Empirical analysis of privacy preservation models for cyber-physical deployments from a pragmatic perspective. International Journal on Recent and Innovation Trends in Computing and Communication, 19–29.
• Mulchandani, M., & Nair, P. S. (2022). EBMICQL: Improving efficiency of blockchain miner pools via incremental and continuous Q-learning framework. International Journal of Image and Graphics, 13(2), 536–549.
• Mulchandani, M., & Nair, P. S. (2022). HBSBA: Design of a hybrid bio-swarm model for enhancing blockchain miner performance through resource augmentation techniques. Indian Journal of Computer Science and Engineering, 13(2).
• Assegie, T. A., & Nair, P. S. (2020). Correlation analysis on educational data for determining factors contributing to female students’ academic performance. International Journal of Scientific & Technology Research.
  http://www.ijstr.org/
• Nair, P. S., Berihu, T. A., & Kumar, V. (2020). An image-based gangrene disease classification. International Journal of Electrical and Computer Engineering, 10(6).
  http://ijece.iaescore.com/index.php/IJECE/article/view/21214
• Assegie, T. A., & Nair, P. S. (2020). The performance of different machine learning models on diabetes prediction. International Journal of Scientific & Technology Research.
  http://www.ijstr.org/final-print/jan2020/The-Performance…
• Nair, P. S., Hailekidan, K. A., & Nair, V. G. (2019). Fake news detection models and performances. International Journal of Engineering and Advanced Technology, 9(2).
  View Paper
• Assegie, T. A., & Nair, P. S. (2020). The performance of Gauss Markov’s mobility model in emulated software-defined wireless mesh network. Indonesian Journal of Electrical Engineering and Computer Science, 18(1).
• Assegie, T. A., & Nair, P. S. (2019). A review on software-defined network security risks and challenges. TELKOMNIKA, 17(6), 3168–3174.
  https://doi.org/10.12928/TELKOMNIKA.v17i6.13119
• Assegie, T. A., & Nair, P. S. (2019). Performance analysis of emulated software-defined wireless network. Indonesian Journal of Electrical Engineering and Computer Science, 16(1), 311–318.
• Assegie, T. A., & Nair, P. S. (2019). Comparative study on methods used in prevention and detection against ARP spoofing attack. Journal of Theoretical and Applied Information Technology, 97(16).
• Assegie, T. A., & Nair, P. S. (2019). Handwritten digits recognition with decision tree classification: A machine learning approach. International Journal of Electrical and Computer Engineering, 9(5), 4446–4451.