| Rani Channamma University, Belagavi, Karnataka India | INDIA

Prof. Shivanand Sharanappa Gornale is presently serving as a Professor of Computer Science in the School of Mathematics and Computing Sciences, Rani Channamma University, Vidya Sangama, Belagavi, Karnataka, India, since 4th September 2016.
He possesses over 25 years of teaching and administrative experience in higher education, with a proven record of academic leadership and institutional development. Prior to his current role, he served in several responsible academic and administrative positions, including:

  • Registrar (Evaluation), Rani Channamma University (2022–2023)

  • Director, IQAC (2018–2022)

  • Deputy Registrar (Evaluation & Administration) (2013–2018)

  • Controller of Examinations, Government College (Autonomous), Mandya (2009–2013)

He has also contributed as Taskforce Committee Member for NEP-2020 Implementation, E-Governance Nodal Officer, and Nodal Officer for UUCMS and E-Samadhan Portals under UGC, New Delhi.

Research Experience and Contributions

Prof. Gornale is a seasoned researcher with more than two decades of active engagement in Image Processing, Pattern Recognition, Biometric Data Analysis, and Medical Imaging Applications. His research focuses on integrating computational intelligence and multimodal data for solving real-world challenges in healthcare and human emotion prediction.

Key Research Projects:

  • Minor Research Project (Ongoing): “Multimodal Biometric Data Analysis for Human Emotion State Prediction” under PM-USHA, Rani Channamma University, Belagavi (2025–2026).

  • UGC-Funded Project (Completed): “Study of Fingerprint Image De-noising Techniques through Decimated and Un-decimated Wavelet Transform.”

  • Mentor, DST-WOS(B) Project (Completed): “Detection and Analysis of Osteoarthritis in Knee X-ray Images Using Machine Vision” (2017–2020).

He has published an impressive 133 research papers in peer-reviewed international journals, participated in 19 international and 14 national conferences, and has one published patent titled “A Novel Model for State and National Ethnicity Identification using Handwriting Analysis” (Patent No. 202241042256 A, 2022).

Academic Publications and Books

Prof. Gornale has significantly contributed to academic literature, both as an author and editor. His notable books include:

  • Web Programming for Beginners (Shroff Publishers, 2016)

  • System Analysis and Design: Theory and Applications (IK International, 2016)

  • Multi-Resolution Analysis for Image Compression (Lambert Academic Publishing, 2016)

  • Contributed book chapters published by Elsevier Academic Press and Meta Research Press on medical imaging and cognitive informatics.
    He has also edited multiple national conference proceedings and special journal issues in the domain of Digital Image Processing and Pattern Recognition.

Awards and Recognitions

Prof. Gornale’s scholarly excellence and dedication have earned him numerous recognitions:

  • Era Asian Research Excellence Award 2025, Einstein Research Academy, Puducherry.

  • Excellence in Forensic Research and Publications Award 2025, Applied Forensic Research Sciences, Indore.

  • Vidyabhushan Award (2010), INSA (Indian NET-SET Association), Amravati.

  • Best Teacher Award Nominee (2006–2007), University of Pune, Maharashtra.

  • Served as Research Fellow, INTI International University, Malaysia (until 2025).
    He has represented India in academic forums abroad, including Thailand and Malaysia.

Research Areas of Interest

  • Image Processing and Computer Vision

  • Biometric Data Analysis

  • Medical Image Analysis and Pattern Recognition

  • Wavelet-based Image Compression

  • Information and Communication Technology

Professional and Administrative Excellence

Prof. Gornale has been instrumental in modernizing university governance through ICT initiatives, implementing e-governance systems, digital fluency programs, and NEP-2020 frameworks at Rani Channamma University. His multifaceted administrative experience reflects strong leadership, commitment to academic integrity, and a vision for technology-driven higher education.

Eligibility for the Excellent Professor Award

Prof. Shivanand Sharanappa Gornale is eminently eligible for the “Excellent Professor Award” under Scientific Laurels due to:

  • Outstanding academic and research contributions across 25 years in Computer Science.

  • Significant international and national publications (133 papers) and patent innovation.

  • Mentorship in funded projects (UGC, DST, PM-USHA) fostering women scientists and young researchers.

  • Proven leadership in university administration, academic quality assurance, and digital transformation.

  • Global research engagement, recognized by awards for scientific excellence and forensic innovation.