About
Currently serving as an Assistant Professor in the Department of Computer Applications, Niteesh K R is very passionate about passing on the torch of knowledge and motivating generations of students to come. He believes in treating his students as his co-learners and also has a commitment to scholarly research.
He holds an MCA degree from B M S College of Engineering, Bangalore and his research interests include machine learning, deep learning, artificial intelligence, and data analytics. He's also very passionate about mathematics and data mining. He has successfully completed many MOOCs and is currently working on relevant research in the field of data science.
Apart from teaching and research, he also is a part of the Rotaract Community and has been associated with various Rotaract clubs in the past as well.
Research Areas
6- Intelligent Transport Systems
- Machine Learning
- Image Processing and Analytics
- Deep Learning
- Data Analytics
- Artificial Intelligence
Publications
4- Niteesh, K. R., Pooja, T. S., Pushpa, T. S., Lakshminarayana, P., & Girish, K. (2024). Comparative Analysis of Machine Learning Models for Earthquake Prediction Using Large Textual Datasets. In Lecture Notes in Civil Engineering (pp. 237–244). Springer Nature Singapore. https://doi.org/10.1007/978-981-99-9610-0_21
- Niteesh K R and Pooja T S, "Application of Deep Learning in Detection of various Hepatic Disease Classification Using H & E Stained Liver Tissue Biopsy," 2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA), Namakkal, India, 2024, pp. 1-6, doi: 10.1109/AIMLA59606.2024.10531423
- Ramesh, Niteesh. K., Kadappa, V., Veerabhaskar, R. D. D., Sirigiri, D. R., & Sreedhar, Pooja. T. (2024). Deep learning architectures for detection of acute myeloid leukemia. In International Journal of Computational Science and Engineering (Vol. 1, Issue 1). Inderscience Publishers. https://doi.org/10.1504/ijcse.2024.10065883
- Niteesh K., D. R. Sirigiri, V. Kadappa, and R. D. D. V, “A Hybrid Deep Learning Architecture for Prediction of Renal Diseases using Residual, Squeeze-Expand and Depth-Wise Convolutional Blocks,” IJIEI, vol. 13, no. 4, 2025, doi: 10.1504/ijiei.2025.10067400. Available: http://dx.doi.org/10.1504/IJIEI.2025.10067400
Teaching
7Education
2-
Master of Computer Applications (MCA)BMS College of Engineering (Autonomous Under VTU)2023
-
Bachelor of Computer Applications (BCA)AIMS Institutes of Higher Education (Affiliated to Bangalore University)2020
Experience
1-
Assistant ProfessorPES University2023 – Till date
Achievements
7- Board Member, AIMS Alumni Association (Since 2021)
- Rotaract Service: Charter Vice-President, Rotaract Club of AIMS, RID 3190, 2018-19
- Served as the President of Techie Tribe, Departmental Technical Club under Department of BCA, AIMS IHE, 2019-20
- Workshop attended: Data Science Hands-on at IISc, Bangalore, 2nd to 4th September, 2022
- Professional Certification: IT Automation with Python from Google, 2022
- Professional Certification: Data Science Specialisation from IBM, 2023
- Qualified UGC-NET for Assistant Professor, 2023