Ramakrishna Kolikipogu
Chaitanya Bharathi Institute of Technology, Stanley College of Engineering and Technology for Women, Jawaharlal Nehru Technological University, CMR College of Engineering and Technology
About
Dr. Ramakrishna Kolikipogu is Professor of IT at Chaitanya Bharathi Institute of Technology(A), has received B.Tech in Computer Science and Information Technology from JNT University Hyderabad(VCE), M.Tech. in Software Engineering from JNT University Kakinada(GIET) and received Ph.D in Computer Science & Engineering in the area of Information Retrieval from JNTU Hyderabad. He is also a member of NLP Association of India, IEEE, Association of Computing Machinery (ACM-SIGIR), Computer Science Teachers Association (CSTA), Life Member of Indian Society of Technical Education (ISTE), Computer Society of India (CSI), International Association of Computer Science and Information Technology (IACSIT), Academy & Industry Collaboration Canter (AIRCC), International Association of Engineers (IAENG), Member of Forum for Information Retrieval (FIRE) and few more. He is an Editorial member of International Journal of Electronics Communication and Computer Engineering (IJECCE)
Employment
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Chaitanya Bharathi Institute of Technology Professor2022 - Present
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Stanley College of Engineering and Technology for Women Professor2019 - 2022
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CMR College of Engineering and Technology Associate Professor2016 - 2018
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Sridevi Women's Engineering College Associate Professor & HoD2012 - 2016
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CMR College of Engineering and Technology Associate Professor2010 - 2012
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Sai Spurthi Institute of Technology Assistant Professor2005 - 2010
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Srinivas Reddy Institute of Technology Assistant Professor2004 - 2005
Education
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Jawaharlal Nehru Technological University Doctor of Phylosophy2010 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (6)
- Supervised machine learning approach for identification of malicious URLs Save
- Information retrieval in Telugu language using Synset relationships Save
- Pseudo Relevance Feedback by linking WordNet for Expanding Queries in Information Retrieval Process Save
- Tuning of expansion terms by PRF and WordNet integrated approach for AQE Save
- Reformulation of Telugu web query using word semantic relationships Save
- Improved web search engine by new similarity measures Save