Dr. Ramakrishna Kolikipogu | Precision Agriculture | Best Researcher Award
Chaitanya Bharathi Institute of Technology | India
Author Profile
Dr. Ramakrishna Kolikipogu: A Visionary Academic and Innovator in Computer Science
šĀ EARLY ACADEMIC PURSUITS
Dr. Ramakrishna Kolikipoguās journey in academia began with a solid foundation in technology. He earned a B.Tech in Computer Science and Information Technology (CSIT), followed by an M.Tech in Software Engineering (SE), and culminating in a Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University. These accomplishments laid the groundwork for his lifelong commitment to education and research.
š§ŖĀ PROFESSIONAL ENDEAVORS
With over 18 years of teaching experience, Dr. Kolikipogu has dedicated his career to inspiring young minds as a Professor of IT and Director of the Research and Development Cell at Stanley College of Engineering & Technology for Women, Hyderabad. His teaching emphasizes Natural Language Processing (NLP), Machine Learning, Data Science, and programming in Python and Java. His innovative methodologies, such as the āCoding Without Computersā initiative, have reached over 30,000 students in Telangana.
š¬Ā CONTRIBUTIONS AND RESEARCH FOCUS ONĀ AGRICULTURE
Dr. Kolikipoguās work bridges the gap between academia and industry, fostering innovation through EduTech, MediTech, AgriTech, and Food Processing start-ups. He is a staunch advocate for STEM education and has contributed extensively to Natural Language Processing, Information Retrieval Systems, Information Security, Web Mining, and Machine Learning.
He is also the Convenor of the Institution’s Innovation Council (IIC) at Stanley College, promoting the āMAKE INDIAā mission by encouraging research and innovation.
šĀ IMPACT AND INFLUENCE
Dr. Kolikipoguās influence extends beyond the classroom. He has delivered numerous sessions on 21st Century Survival Skills at national and international events, empowering both students and faculty. His active membership in esteemed professional organizations like IEEE, ACM, CSTA, ISTE, and others ensures he stays at the forefront of technological advancements.
šĀ ACADEMIC CITATIONS AND PUBLICATIONS
Dr. Kolikipoguās scholarly contributions include 50+ research papers and 5 patents in reputed journals and conferences. Notably, he received the Best IEEE Paper Award in 2013 for his groundbreaking presentation at the 15th IEEE International Conference on Advanced Computing Technologies (ICACT-2013).
š Ā HONORS & AWARDS
Dr. Kolikipogu has received multiple accolades, including:
- Best IEEE Paper Award (2013)
- Recognitions for his contributions to STEM education and social innovation.
šĀ LEGACY AND FUTURE CONTRIBUTIONS
Beyond academia, Dr. Kolikipogu is a passionate advocate for social transformation. Through his trust, Wisdom Society, he works toward socio-cultural emancipation in rural and tribal communities. His initiatives, such as “NOTE FREE VOTE” and “ZERO BUDGET POLITICS”, promote constitutional values and aim to reform the election process in India.
š Ā FINAL NOTE
Dr. Kolikipogu epitomizes the philosophy of āLearn Today, Lead Tomorrow.ā His relentless pursuit of excellence in education, innovation, and social impact has left an indelible mark on students, colleagues, and communities. His commitment to building a robust ecosystem for education and research positions him as a torchbearer for the next generation of scholars and innovators.
šĀ NOTABLE PUBLICATIONSĀ
Optimization of Crop Yield Prediction Through Linear Modelling and Deep Learning Techniques Used in Precision Agriculture
- Authors: Kolikipogu, R., Bheemalingaiah, M., Srinivas, K.N.V., Sundararajan, S.S.C.M., Vishwa Priya, V.
- Journal: Communications on Applied Nonlinear Analysis
- Year: 2025
Experimental Evaluation of Remote SensingāBased Climate Change Prediction Using Enhanced Deep Learning Strategy
- Authors: Madhavi, M., Kolikipogu, R., Prabakar, S., Raj, G.B., Balaram, A.
- Journal: Remote Sensing in Earth Systems Sciences
- Year: 2024
GENERATIVE AI: TWO LAYER OPTIMIZATION TECHNIQUE FOR POWER SOURCE RELIABILITY AND VOLTAGE STABILITY
- Authors: Gupta, S., Kolikipogu, R., Pittala, V.S., Pittala, R.B., Al Ansari, M.S.
- Journal: Journal of Theoretical and Applied Information Technology
- Year: 2024
Deep Learning Framework for Analysis of Health Factors in Internet-of-Medical Things
- Authors: Abbas, S.H., Kolikipogu, R., Reddy, V.L., Kumar, D., Singh, M.
- Journal: Radioelectronics and Communications Systems
- Year: 2023