Dr.Raju Mahadeorao Sairise

Visionary academic leader and In-Charge Principal with 20+ years of experience in higher education, engineering academics, and institutional governance. Proven expertise in NAAC-led quality assurance, faculty leadership, outcome-based education, and research integration. Recognized for driving academic excellence, regulatory compliance, digital transformation, and stakeholder trust while building future-ready, technology-enabled learning ecosystems.

• Kazi Kalim Nasir (Registration No.: 17722083), Department of Electrical Engineering – Smart Grid Stability Prediction Using an Efficient Neural Network Approach.
• Deokar Tushar Vyankat (Registration No.: 17722058), Department of Electrical Engineering – Deep Learning Innovations for Resilient and Sustainable Smart Grids.

Five postgraduate students supervised under University-approved PG supervision as per university norms.

• Analysis on Improving the Lifetime of Wireless Sensor Networks by Framing the Connectivity Between the Sensors, International Journal of Advances in Applied Science and Engineering (Special Issue), Vol. 4, Issues 1–2, pp. 06–11, 2017. [Peer Reviewed | Not Scopus Indexed | ISSN: 2348-1811 (P), 2348-182X (E)]
• Enhancing Medical Image Analysis Through Deep Learning-Based Lesion Detection, International Journal of Intelligent Systems and Applications in Engineering, Vol. 12, Issue 2S, pp. 27–36, 2023. [UGC Listed | Scopus Indexed | ISSN: 2147-6799]
• An Efficient Object Detection Using Faster R-CNN, International Journal on Science and Technology, Vol. 16, Issue 02, pp. 1–8, 2025. [Peer Reviewed | Not Scopus Indexed | ISSN: 2229-7677]
• Implementing a Hybrid Deep Learning Model to Identify Critical Factors for Energy Efficiency in Smart Grids, Journal of Information Systems Engineering and Management, Vol. 9(S), pp. 430–442, 2025. [Peer Reviewed | Scopus Indexed | ISSN: 2468-4376]
• A Hybrid Bio-Inspired GRU Model with Multiheaded Attention for Predicting Smart Grid Stability, Journal of Information Systems Engineering and Management, Vol. 9(S), pp. 443–455, 2025. [Peer Reviewed | Scopus Indexed | ISSN: 2468-4376]
• Efficient Artificial Neural Networks for Enhancing Smart Grid Stability: A Comprehensive Review, ShodhKosh: Journal of Visual and Performing Arts, Vol. 6, Issue 6-2, pp. 1515–1523, 2024. [UGC Listed | Not Scopus Indexed | ISSN: 2582-7472]
• Artificial Intelligence in Smart Grid Systems: A Comprehensive Review of Machine Learning and Deep Learning Applications, ShodhKosh: Journal of Visual and Performing Arts, Vol. 5, Issue 06-2, pp. 1506–1514, 2024. [UGC Listed | Not Scopus Indexed | ISSN: 2582-7472]
• Implementing End-to-End Encryption Strategies for Strengthening Data Security Across Network Communication, Journal of Discrete Mathematical Sciences and Cryptography, Vol. 27, Issue 2-A, pp. 465–476, 2024. [Peer Reviewed | Scopus Indexed | Impact Factor: 1–2 | ISSN: 0972-0529, 2169-0065]
• EAKRR: An Energy-Efficient Key Management in WSN with ECC-Based Cryptography, Journal of Discrete Mathematical Sciences and Cryptography, Vol. 27, Issue 2-A, pp. 489–499, 2024. [Peer Reviewed | Scopus Indexed | Impact Factor: 1–2]
• Secure Group Key Agreement Protocol with Elliptic Curve Secret Sharing for Authentication in Distributed Environments, Journal of Discrete Mathematical Sciences and Cryptography, Vol. 26, Issue 5, pp. 1569–1583, 2023. [Peer Reviewed | Scopus Indexed | Impact Factor: 1–2]
• Elliptic Curve-Inspired Graph Neural Networks for Lightweight Cryptographic Verification, Journal of Discrete Mathematical Sciences and Cryptography, Vol. 28, Issue 5-B, pp. 1923–1934, 2025. [Peer Reviewed | Scopus Indexed | Impact Factor: 1–2]
• Sustainable Agriculture Practices: A Multidisciplinary Approach to Ensuring Food Security, International Journal of Food and Nutritional Sciences, Vol. 11, Issue 12, 2022. [UGC Listed | Not Scopus Indexed | Impact Factor: 5–10]
• Artificial Intelligence in Food Chemistry: Predictive Modeling and Analysis for Quality, International Journal of Food and Nutritional Sciences, Vol. 11, Issue 12, 2022. [UGC Listed | Not Scopus Indexed | Impact Factor: 5–10]
• Machine Learning for Personalized Nutrition: Integrating Clinical Biochemistry Perspectives, International Journal of Food and Nutritional Sciences, Vol. 11, Issue 11, 2022. [UGC Listed | Not Scopus Indexed | Impact Factor: 5–10]
• AI-Driven Approaches: Enhancing Food Safety and Security in the Supply Chain, International Journal of Food and Nutritional Sciences, Vol. 11, Issue 06, 2022. [UGC Listed | Not Scopus Indexed | Impact Factor: 5–10]
• Blockchain Technology: Ensuring Transparency and Traceability in the Food Supply Chain, International Journal of Food and Nutritional Sciences, Vol. 11, Issue 09, 2022. [UGC Listed | Not Scopus Indexed | Impact Factor: 5–10]
• Computer Vision in Food Quality Control: Applications and Innovations, International Journal of Food and Nutritional Sciences, Vol. 11, Issue 08, 2022. [UGC Listed | Not Scopus Indexed | Impact Factor: 5–10]
• IoT-Enabled Health Monitoring: Technological Perspectives in Clinical Nutrition, International Journal of Food and Nutritional Sciences, Vol. 11, Issue 06, 2022. [UGC Listed | Not Scopus Indexed | Impact Factor: 5–10]
• Robotics Revolution: Transforming the Future of Food Engineering in Manufacturing, International Journal of Food and Nutritional Sciences, Vol. 11, Issue 09, 2022. [UGC Listed | Not Scopus Indexed | Impact Factor: 5–10]
• Robotics and Automation: A Mechanical Engineering Intervention in Sustainable Agriculture, International Journal of Food and Nutritional Sciences, Vol. 11, Issue 08, 2022. [UGC Listed | Not Scopus Indexed | Impact Factor: 5–10]
• Smart Sensors for Quality Control: Mechanical Approaches in Food Manufacturing, International Journal of Food and Nutritional Sciences, Vol. 11, Issue 06, 2022. [UGC Listed | Not Scopus Indexed | Impact Factor: 5–10]
• Taste of the Future: How AI and IoT Are Transforming the Food Industry, International Journal of Food and Nutritional Sciences, Vol. 10, Issue 9, 2021. [UGC Listed | Single Author | Impact Factor: 5–10]
• Advancing Nutritional Science with Machine Learning Algorithms, International Journal of Food and Nutritional Sciences, Vol. 11, Issue 10, 2021. [UGC Listed | Single Author | Impact Factor: 5–10]
• Novel Approach to Enrich Lifetime in Wireless Sensor Networks Using Greedy Algorithm, Solid State Technology, Vol. 63, Issue 6, pp. 3731–3746, 2020. [Peer Reviewed | Scopus Indexed | Impact Factor: 1–2]
• Improving the Lifetime of Wireless Sensor Networks, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 5, Issue 2, pp. 205–207, 2017. [Peer Reviewed | Not Scopus Indexed | Impact Factor: 5–10]

• International Conference on Emerging Trends in Technology (ICETTA–2013), organized by Yadavrao Tasgaonkar Institute of Engineering & Technology, Karjat, Maharashtra, 03 June 2013 – 07 June 2013.
• International Conference on Emerging Trends in Technology (ICETTA–2014), organized by Yadavrao Tasgaonkar College of Engineering & Management, Karjat, Maharashtra, 07 March 2014 – 08 March 2014.
• International Conference on Emerging Trends in Technology (ICETTA–2024), organized by Yadavrao Tasgaonkar College of Engineering & Management, Karjat, Maharashtra, 25 November 2024 – 26 November 2024.

International Conference Papers

• Ontology-Based Geographical Information System, presented at the International Conference on Science, Engineering & Spirituality (ICSES–2010), S.E.S. College of Engineering, Dhule, Maharashtra, 2010.
• Qualification of Sensor Node as Cluster Head Using Fuzzy Logic, presented at the International Conference on Engineering Research & Application (ICERA–2012), Godavari College of Engineering, Maharashtra, 2012.
• Conditions for Sensor Nodes as Cluster Head – A Fuzzy Logic Approach, presented at the International Conference on Emerging Trends in Technology (ICETTA–2013), Yadavrao Tasgaonkar College of Engineering & Management, Karjat, Maharashtra, 2013.
• Wireless Sensor Network Communication and Architecture for Wide-Area Large-Scale Soil Moisture Estimation and Wetland Monitoring, presented at the International Conference on Emerging Research Trends in Engineering and Technology (ICERAT–2016), Kokan Gyanpeeth College of Engineering, Karjat, District Raigad, Maharashtra, 2016.
• Innovative Approach to Enhance the Lifespan of Wireless Sensor Networks, presented at the 6th IEEE International Conference on Convergence in Technology (I2CT–2021).
  DOI: https://doi.org/10.1109/I2CT51068.2021.9418162
  (Conference paper indexed in Scopus via IEEE Xplore)
• AI and ML in Behavioral Analysis for Cybersecurity, Navalgundh, D. I., Sairise, R. M., Sen, P., Patil, S. B., Landge, M. G., & Agalave, K. N., presented at Innovations in Communication Networks: Sustainability for Societal and Industrial Impact (ICDECT–2024), Springer Proceedings, Vol. 1365, pp. 357–374, 2024.
  DOI: https://doi.org/10.1007/978-981-96-5223-5_29
  ISBN: 978-981-96-5222-8 (Print), 978-981-96-5223-5 (Online)

National Conference Papers

• Maximize the Lifetime of Wireless Sensor Networks Using Genetic Algorithm, presented at SHIKHAR’2K10 – National Level Technical Fest, Yadavrao Tasgaonkar Institute of Engineering & Technology, Maharashtra, 2010.
• Routing Schemes and Algorithms for Distributed Clustering in Two-Tiered Sensor Network, presented at the National Conference on Wireless Communication & Networking (WCN’13), St. Vincent Pallotti College of Engineering & Technology, Nagpur, Maharashtra, 2013.

• Faculty Development Program on Next Generation Telecommunication
  Organized by Kokan Gyanpeeth College of Engineering, Karjat, Maharashtra
  Duration: 17–21 December 2007 (05 Days)
• Short-Term Training Program on RF & Microwave Design and Fabrication
  Organized by Don Bosco Institute of Technology, Mumbai, Maharashtra
  Duration: 30 June – 11 July 2008 (02 Weeks)
• Faculty Development Program on ICT-Based Technology
  Organized by Yadavrao Tasgaonkar Institute of Engineering & Technology, Karjat, Maharashtra
  Duration: 17–21 November 2008 (01 Weeks)
• Faculty Development Program on Mobile Technology: Current Trends & Future Directions
  Organized by K. J. Somaiya Institute of Engineering & IT, Mumbai, Maharashtra
  Duration: 31 May – 04 June 2010 (01 Weeks)
• Short-Term Training Program on Image Processing, Artificial Intelligence and Applications
  Organized by H. V. P. College of Engineering, Amravati, Maharashtra
  Duration: 18–27 November 2013 (02Weeks)
• Faculty Development Program on ICT-Based Teaching Methodology
  Organized by Yadavrao Tasgaonkar College of Engineering & Management, Karjat, Maharashtra
  Duration: 08–12 July 2014 (01 Weeks)
• Faculty Development Program (FDP) on Cloud Computing
  Organized by JBIET, Hyderabad; GITA, Bhubaneswar; HITAM, Telangana; RVITM, Karnataka; and AMRIT,
  in collaboration with ExcelR Edtech Pvt. Ltd.
  Duration: 14–18 July 2025 (01 Weeks)
• AICTE–ATAL Faculty Development Program (FDP) on AI in Education
  Organized by Abdul Razzak Kalsekar Polytechnic,
  Department of Artificial Intelligence
  Duration: 13–18 October 2025 (01 Week)
• AICTE–ATAL Faculty Development Program (FDP) on Advances in Biomedical and Healthcare Using Artificial Intelligence
  Organized by Jaya Sakthi Engineering College,
  Department of Health Care & Med-Tech
  Duration: 20–25 October 2025 (01 Week)
• AICTE–ATAL Faculty Development Program (FDP) on Cyber Threat Intelligence and Defense Mechanisms
  Organized by Kaushalya – The Skill University,
  Department of Cyber Physical Systems and Cyber Security Engineering and Management
  Duration: 27 October – 01 November 2025 (01 Week)
• AICTE–ATAL Faculty Development Program (FDP) on The Evolving Landscape in Teaching and Research: AI and Data Approaches
  Organized by Nehru Institute of Technology
  Duration: 03–08 November 2025 (01 Week)
• AICTE–ATAL Faculty Development Program (FDP) on Next Gen AI and LLMs: Transforming Pedagogy and Research
  Organized by National Institute of Technical Teachers’ Training and Research (NITTTR), Bhopal
  Duration: 10–15 November 2025 (01 Week)
• AICTE–ATAL Faculty Development Program (FDP) on Generative AI Fluency
  Organized by NASSCOM
  Duration: 17–22 November 2025 (01 Week)
• AICTE–ATAL Faculty Development Program (FDP) on Cyber Shield 360°: Cybersecurity Practices and Threat Management
  Organized by MES Senior College, Pune
  Duration: 24–29 November 2025 (01 Week)
• AICTE–ATAL Faculty Development Program (FDP) on Next Generation Communication for 6G and Beyond
  Organized by Indian Institute of Technology (Indian School of Mines), Dhanbad – Jaipur Campus
  Duration: 01–06 December 2025 (01 Week)
• AICTE–ATAL Faculty Development Program on Next-Gen Intelligence: HPC, Applied AI, and Data Science
  Organized by TKM Institute of Science & Technology (TOC H Institute of Science & Technology)
  Duration: 08–13 December 2025 (01 Week)
• AICTE–ATAL Faculty Development Program (FDP) on Recent Advances in AI and ML: Bridging Research and Industry
  Organized by Birla Institute of Technology – Off Campus Jaipur
  Duration: 15–20 December 2025 (01 Week)
• Short-Term Training Program on Quantitative Research Methods: Tools, Techniques, and Applications
  Organized by: Southfield College, Darjeeling, West Bengal
  Duration: 17–26 September 2025 (10 Days)

• Workshop & Training Program on Energy Conservation in Building
  Organized by: Bharati Vidyapeeth Institute of Technology, Navi Mumbai, Maharashtra
  Date: 17 October 2007 (01 Day)
• Workshop on Embedded Microchip Technology Training (MCU 1121 & MCU 2121)
  Organized by: Yadavrao Tasgaonkar College of Engineering & Management, Karjat, Maharashtra
  Duration: 06–07 May 2009 (02 Days)
• Webinar on Curriculum to Career – Bridging India’s Skill Gap in Higher Education
  Organized by: India Didactics Association
  Date: 20 August 2025 (01 Day)

• SOAR – AI for Educators
  Duration: 40 Hours
  Date: 15 December 2025
  Organized by: Microsoft
• SOAR – AI to be Aware
  Duration: 20 Hours
  Date: 17 December 2025
  Organized by: Microsoft
• SOAR – AI to Aspire
  Duration: 15 Hours
  Date: 17 December 2025
  Organized by: Microsoft
• SOAR – AI to Acquire
  Duration: 15 Hours
  Date: 18 December 2025
  Organized by: Microsoft
• CS301: Computer Architecture
  Duration: 20 Hours
  Date: 23 December 2025
  Organized by: Saylor Academy
• Cybersecurity
  Duration: 10 Hours
  Date: 24 December 2025
  Organized by: Tech Mahindra Foundation
• Natural Language Programming
  Duration: 10 Hours
  Date: 26 December 2025
  Organized by: Infosys Ltd.

• Postgraduate Teacher (University Approved)
  University: University of Mumbai
  Date of Approval: 27 August 2015
• Member, Vishaka Committee
  Institution: Karjat, Maharashtra
• NAAC Head of the Institution (HEI Coordinator)
  Institution: Yadavrao Tasgaonkar College of Engineering & Management, Karjat, Maharashtra
• Examination Controller / Centralized Test In-Charge / NAAC Coordinator
  Institution: Yadavrao Tasgaonkar College of Engineering & Management, Karjat, Maharashtra

• Google Scholar: https://scholar.google.com/citations?user=T5HztsQAAAAJ
• ResearchGate: https://www.researchgate.net/profile/Raju-Sairise
• ORCID iD: 0009-0006-5310-0381
• Scopus Author ID: 57223936751

I hereby declare that the above information is true and complete to the best of my knowledge and
belief.

Date: 26.12.2025

Place: Karjat

Dr. Raju M. Sairise

• Mr. Ravi Tikte, Deputy CEO & Administration Head,
  Saraswati Education Society –Chandhai Campus, Bhivpuri
  Road, Karjat, Maharashtra, Contact: +91 93725 59339
• Dr. Atul Joshi, Ph.D. Coordinator & Professor, Sipna
  Shikshan Prasarak Mandal Collegeof Engineering &
  Technology, Amravati (Affiliated to Amravati University)
  Contact: +9193715 52816