Mr. Naresh A. Kamble

Assistant Professor

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BIOGRAPHY

Mr. Naresh Ashok Kamble is a distinguished academic and researcher in Computer Science and Engineering, leveraging 16 years of extensive teaching experience to mentor future technologists.

He is currently pursuing his Ph.D. in Computer Science and Engineering at VIT Bhopal. His academic foundation includes a B. Tech in Information Technology from PVPIT, Budhgaon, Sangli (2010), and an M.E. in Computer Networks from the Flora Institute of Technology, Khopi, Pune (2016).

Mr. Kamble’s research primarily focuses on Cybersecurity, Machine Learning, and Blockchain-Based Systems. His notable contributions include work on secure Federated Deep Learning for brain tumor detection and advanced methods for Phishing Attack Detection using hybrid optimization techniques, with publications in journals like Computers & Security and the Industrial Engineering Journal. He has also authored research on Blockchain-Based Healthcare Analytic Systems (BHAS) and Customer Churn Prediction.

His broad teaching expertise covers core subjects like Computer Networks, Cyber Security, Machine Learning, Operating System, and modern skills such as Robotic Process Automation (RPA) and Python Programming. Furthermore, he actively contributes to institutional quality assurance by working as an NBA and NAAC consultant, assisting various institutions with the accreditation process.

EXPERTISE INFORMATION​

EDUCATION QUALIFICATION
  • UG: Tech in Information Technology, PVPIT, Budhgaon, Sangli, Year 2010.
  • PG: E in Computer Networks, Flora Institute of Technology, Khopi, Pune, Year 2016.
  • PhD: Pursuing in Computer Science and Engineering, VIT Bhopal.

Research Experience: 4 years

Teaching Experience: 16 years

Publications:

Journal Publications:

  • A Review Paper on Federated Learning for Image Classification of Brain Tumor Detection: Industrial Engineering Journal, ISSN: 0970-2555, Volume: 54, Issue 5, No.2, February: 2025.
  • Secure Federated Deep Learning for MRI-Based Brain Tumor Classification”: Industrial Engineering Journal, ISSN: 0970-2555, Volume: 54, Issue 5, No.5, May: 2025.
  • “Survey Paper on Churn Prediction for Bank Customer Using Machine Learning”: Industrial Engineering Journal, ISSN: 0970-2555, Volume: 54, Issue 2, No.4, February: 2025.
  • “Churn Prediction for Bank Customer Using Machine Learning, Industrial Engineering Journal”: ISSN: 0970-2555, Volume: 54, Issue 6, No.1, June: 2025.
  • “Hybrid optimization enabled squeeze net for phishing attack detection”: Computers & Security, Volume 144, September 2024, 103901, https://doi.org/10.1016/j.cose.2024.103901.
  • “Unveiling the Power of Machine Learning: A Benchmark Analysis of Sentiment Analysis Methods and Their Real-World Performance”: Grenze International Journal of Engineering & Technology (GIJET), 2024, Vol 10, Issue 2, Part 4, p3483, ISSN 2395-5287.
  • “Cybersecurity Advancements: A Comprehensive Survey of Machine Learning-based Preprocessing Techniques for Enhanced Website Phishing Detection”: Grenze International Journal of Engineering & Technology (GIJET), 2024, Vol 10, Issue 2, Part 4, p3453, ISSN 2395-5287.
  • “BHAS: A Blockchain-Based Healthcare Analytic System to Manage Privacy and Scalability Concerns”: Grenze International Journal of Engineering & Technology (GIJET), 2023, Vol 9, Issue 2, p765, ISSN 2395-5287.
  • “Phishing Attack Detection using NLP and Machine Learning”: Grenze International Journal of Engineering & Technology (GIJET), 2023, Vol 9, Issue 2, p777, ISSN 2395-5287.
  • “Detection and Prevention of Phishing Using Machine Learning”: International Journal of Research Publication and Reviews, 2021, Volume 2, Issue 12, ISSN 2582-7421.
  • “EMR using RFID Technology”: International Research Journal of Engineering and Technology (IRJET), Volume: 07, Issue: 01, Jan 2020, e-ISSN: 2395-0056.
  • “An Attainment Tool for Measuring Course Outcomes and Program Outcomes”: International Journal for Advance Research and Development (IJARnD), 2018, Volume 3, Issue 3.
  • “Survey Paper on Soot Bazaar”: International Journal for Advanced Research and Development (IJARnD), 2017, Volume 2, Issue 3.
  • “Survey Paper on Women Monitoring System”: International Journal for Advance Research and Development (IJARnD), 2017, Volume 2, Issue 3.
  • “Agricultural UAV for Spraying Fertilizer and Pesticides”: International Journal of Innovative Research in Science, Engineering and Technology, 2016, Volume 5, Issue 11, ISSN: 2347-6710.
  • “A Survey on Behaviour Based Intrusion Response System for Relational Database”: International Journal of Innovative Research in Computer and Communication Engineering, 2015, Volume 3, Issue 12.

 

Conference Publications:

  • “Securing cyberspace: unveiling phishing attacks through deep neural networks for enhanced detection”: International conference on advancements in smart, secure and intelligent computing (ASSIC), 2024.
  • “BHAS: A Blockchain-Based Healthcare Analytic System to Manage Privacy and Scalability Concerns”: 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023, Conference paper EID: 2-s2.0-85174264008.
  • “Phishing Attack Detection using NLP and Machine Learning”: 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023, Conference paper EID: 2-s2.0-85174277930.
  • “BHAS: A Blockchain-Based Healthcare Analytic System for Quality-of-Service Concerns in PHR”: 40th World Conference on Applied Science, Engineering & Technology (WCASET – 2021).
  • “Phishing Attack Detection Using NLP and Machine Learning”: 40th World Conference on Applied Science, Engineering & Technology (WCASET – 2021).
  • “Database security by implementing an Intrusion Response System for social media database based on Policy Mechanism”: Fifth Post Graduate Conference Of Computer Engineering, CPGCON 2016.

 

Patents:

  • Copyright for the research work “Phishing Attack Detection Using NLP and Machine Learning” from Govt. of India on 31st May 2021. Reg. Number L-103932/2021.
  • AN ADAPTIVE AND ARTIFICIALLY INTELLIGENT VIRTUAL REALITY SYSTEM FOR PERSONALIZED REAL-TIME IMMERSIVE EXPERIENCE (202511009603A)

 

Computer Networks, Information Security, Cyber Security, Machine Learning, Operating System, RTOS, DBMS, Robotic Process Automation (RPA), Computer Graphics, Python Programming

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