Mr. Rudrappa Gujanatti, KLE Technological University, DR. M S Sheshgiri Campus, Belagavi, India
Rudrappa B. Gujanatti is a dedicated academic and IT professional with over 12 years of teaching experience and nearly two years in application development. Currently serving as an Assistant Professor at K.L.E. Dr. M.S. Sheshgiri College of Engineering & Technology, Belgaum, he combines technical expertise with a passion for education. He holds a strong foundation in .NET technology and has a robust understanding of the Software Development Life Cycle (SDLC) and Scrum-based development. His teaching repertoire includes programming languages like C, C++, MATLAB, and scripting languages such as JavaScript and HTML, complemented by hardware and database expertise.
Professional Profile:
SCOPUS
Suitability for the Best Researcher Award:
Based on the provided information, Rudrappa B. Gujanatti demonstrates significant achievements and contributions in both academic and research fields, which make him a strong candidate for the Best Researcher Award. Below are the key points supporting his eligibility and suitability.
Education 🎓
- Ph.D. (Pursuing): Enrolled on 12th July 2019.
- KSET Qualified: Cleared Karnataka State Eligibility Test (KSET) for Lecturer/Assistant Professorship in Electronic Science with 58.28%, held on 31st December 2017.
Work Experience 💼
- Assistant Professor: K. L. E. Dr. M. S. Shesgiri College of Engineering & Technology, Belgaum (9 years teaching experience).
- Programmer Analyst: 1.9 years of experience in Application Development using .NET Technology.
- Total Teaching Experience: Over 12 years of rich and diversified experience in the field of education.
Achievements 🏆
- Patent Applied: Smart Laptop Adjuster Device on 29th June 2023 with Intellectual Property India.
- Workshops Attended:
- Instructional School on AI and ML for Researchers, Kotak IISc AI-ML Centre (March 2023).
- Writing Research Proposals & Scientific Articles, KLE Technological University, Hubballi (March 2022).
- Global Navigation Satellite System and Location-based Services, Indian Institute of Remote Sensing (IIRS), ISRO (Feb-Mar 2022).
- Image Processing – Morphological Process and Tool, Pantech e Learning (Feb 2022).
Awards and Honors 🥇
- Cleared KSET Exam with distinction for Lecturer/Assistant Professorship (2017).
- Recognized for contributions in both academia and IT application development.
Skills and Technical Expertise 💻
- Programming Languages: C, C++, MATLAB, Assembly (8085, 8086), Python (in progress).
- Tools & Platforms: .NET, GNS3, NS2, MATLAB, IMAGEJ.
- Scripting & Databases: JavaScript, HTML, VBScript, XML, SQL Server 2008.
- Platforms: Windows XP/98/2000.
Publication Top Notes:
Levenberg-Marquardt-optimized neural network for rainfall forecasting
DRN-DSA: A hybrid deep learning network model for precipitation nowcasting using time series data
Deep Learning Approach for Drowsiness Detection Using Facial Features
Comparison of Machine Learning Approaches for Classification of Cardiac Diseases
Machine Learning Applied To Plant Disease Detection