Dr. Shrikant D Bhopale

Associate Professor

BIOGRAPHY

I am a dedicated academician and researcher in Computer Science and Engineering, holding a Ph.D. from Kalinga University, Raipur. I earned my M.E. from ACPCE, Navi Mumbai, and B.E. from K.I.T, Kolhapur. My research interests include machine learning, deep learning, web service recommendations, and intelligent waste management. I have published 16 papers, authored book chapters, and presented at international conferences. With industry experience in ERP systems, data analysis, and Oracle database management, I excel in problem-solving and technical leadership. I actively engage in professional development through certifications and workshops, committed to advancing technology and engineering education.

EXPERTISE INFORMATION​

Specialization : Machine Learning, Deep Learning, Cloud Computing

EDUCATION QUALIFICATION
  • UG: BE in Information Technology, KIT College of Engineering,  Shivaji University, Kolhapur . (2010)
  • PG: ME in Computer Engineering, ACPCE Kharghar Navi Mumbai, Mumbai University. (2015)
  • PhD: Computer Science and Engineering, Kalinga University, Raipur. (2023)

Industry Experience – 05 Years

Research Experience- Nil

Teaching Experience- 10 Years

Journal Publications:
Bhopale, S., & Srivastava, S.
(2021). Review of recent deep learning-based web services recommendations. International Journal of Future Generation Communication and Networking (IJFGCN).

Bhopale, S., & Chawande, N. (2015). Data forwarding mechanism in MANET using selfish nodes. International Journal of Advanced and Innovative Research (IJAIR).

Bhopale, S., & Chawande, N. (2014). Secure data forwarding in mobile ad-hoc networks. International Journal of Engineering Trends and Technology (IJETT).

Conference Publications:

Bhopale, S. (2024). Intelligent waste management using wireless sensor networks and scale-aware Fast R-CNN for smart cities. In 3rd International Conference on Optimization Techniques in the Field of Engineering (ICOFE-2024), 22–23 October 2024.

Bhopale, S. (2024). Disease classification model using capsule networks based on white blood cells. In 5th International Conference for Emerging Technology (INCET-2024), 24–25 May 2024.

Bhopale, S. (2024). Efficient feature extraction for classification of Alzheimer’s abnormalities using deep learning. In 5th International Conference for Emerging Technology (INCET-2024), 24–25 May 2024.

Bhopale, S. (2024). Multi-task convolutional neural network approach for automatic Alzheimer disease classification. In 3rd International Conference for Innovation in Technology (INOCON-2024), 1 March 2024.

Bhopale, S. (2024). Design and investigate the deep learning models for white blood cell classification. In 3rd International Conference for Innovation in Technology (INOCON-2024), 1 March 2024.

Bhopale, S. (2024). Implications of shifting from competitive to cooperative paradigms in educational restructuring: A comprehensive research analysis. In International Seminar by SUK, 28–29 January 2024.

Bhopale, S. (2024). Exploring the transformative terrain of the Fifth Industrial Revolution: Shifting paradigms. In International Seminar by SUK, 28–29 January 2024.

Bhopale, S. (2024). Machine learning-based rice seed quality assessment: A comprehensive study. In International Conference on Multi-Strategy Learning Environment (ICMSLE-2024), 12–13 January 2024.

Bhopale, S. (2023). Web services recommendation system using machine learning algorithms. In 4th International Conference of Emerging Technology (INCET-2023), 26–28 May 2023.

Bhopale, S. (2023). Automatic web services recommendations using the robust deep learning approach. In 4th International Conference of Emerging Technology (INCET-2023), 26–28 May 2023.

Bhopale, S. (2013). Cloud migration benefits and its challenges issue. In Second  International Conference on Emerging Trends in Engineering (ICETE-2013).

Bhopale, S., & Chawande, N. (2013). Cloud computing data security issue and survey of different encryption techniques. In National Conference on Emerging Trends in Engineering (NCETET-2013).

Bhopale, S., & Kadam, R. (2013). Cloud computing research challenges. In National Conference on Emerging Trends in Engineering and Technology (NCETET-2013).

Book Chapters:

  1. Dr Shrikant Dnyandeo Bhopale, N.Mookhambika , Ensuring Data Integrity in IoT Leveraging Blockchain for Immutable Data Transactions and Provenance. In Secured Blockchain and IoT Connected Devices through Decentralized Trust and Enhanced Data Integrity
  2. Shrikant Dnyandeo Bhopale, Jyoti Gupta, Image Registration Techniques for Multi-Modal Imaging Including Feature-Based and Intensity-Based Methods
  3. Dankan Gowda V., Kirti Rahul Kadam, Suma S. G., Shrikant D. Bhopale ,Scaling Robot Intelligence With Cloud-Based Cloning Platforms. In Shaping the Future of Automation With Cloud-Enhanced Robotics

C, C++, Java Programming, Software Engineering, Machine Learning, Cloud Computing, Python Programming, Automata Theory.

PG Students: Completed:  00 , Ongoing: 05

PhD Scholars: Completed: 00 , Ongoing: 03

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