Associate Professor
Computer Science & Artificial Intelligence
Volunteering, Public Speaking, Community Involvement
Deep Learning, Machine Learning, Natural Language Processing, Big Data, Data Science
Ph.D in Computer Science & Engineering from IIT (ISM) Dhanbad
M.Tech in Computer Science & Engineering from JNTU Hyderabad
B.Tech in Computer Science & Engineering from JNTU Hyderabad
Associate Professor at SR University, Warangal, from 2025-06-03 to .
Dean at MLR Institute of Technology, from 2025-02-01 to 2025-05-28.
Professor & Head at MLR Institute of Technology, from 2023-03-10 to 2025-01-31.
Professor & Head at KL University , from 2021-06-12 to 2023-02-28.
Associate Professor at BV Raju Institute of Technology, from 2015-05-09 to 2021-06-12.
Associate Professor at BM College of Technology, from 2011-03-01 to 2012-05-02.
Associate Professor at Indur Institute of Technology, from 2007-06-25 to 2011-02-28.
Ph.D
PG
UG
Balne, Sridevi, and Chiranjeevi Manike. ”An Exploration: Alzheimer’s Disease Classification Based on Spectral Matching of Shape Features.” Ingenierie des Systemes d’Information 27.5 (2022): 791.
Kulkarni, Girish, and Chiranjeevi Manike. ”Heuristic-Based Ensemble Model Selection Strategy with Parameter Tuning for Optimal Diabetes Mellitus Prediction.” International Journal of Image and Graphics (2023): 2450046.
Sreedevi, Alampally and Manike, Chiranjeevi, ”TOMATO LEAF DISEASE DETECTION USING CUTTING-EDGE DEEP LEARNING ARCHITECTURES.” ANNALS OF FOREST RESEARCH, Vol. 66, No. 1, 2023.
Alampally Sreedevi & Chiranjeevi Manike. ”Development of Weighted Ensemble Transfer Learning for Tomato Leaf Disease Classification Solving Low Resolution Problems.” The Imaging Science Journal, Taylor & Francis, Vol. , No. , 2023. IF: 0.871
Venkateswarulu, N ; Manike, Chiranjeevi ; Obulesu, O. ”An Industry Framework for Remote Health Monitoring using Machine Learning Models to Predict a Disease.” Journal of Scientific & Industrial Research, Vol. 82, No. 2, 2023. IF: 0.555
Alampally Sreedevi & Chiranjeevi Manike. ”A Smart Solution for Tomato Leaf Disease Classification by Modified Recurrent Neural Network with Severity Computation” The International Journal of Cybernetics and Systems, Taylor & Francis, 1-14.
Chiranjeevi Manike, Hari Om. ”Modified GUIDE (LM) algorithm for mining maximal high utility patterns from data streams.” The International Journal of Computational Intelligence Systems, Taylor & Francis, Atlantis Press, Vol. 8, No. 3, 2015. IF: 2.5
The Commissioner of Patents has granted the above patent on 2 September 2020, and certifies that the below particulars have been registered in the Register of Patents.