Dr. Srinivas Kolli | Computer Science | Best Researcher Award |
Dr. Srinivas Kolli VNRVJIET, India
Author Profile
๐ Early Academic Pursuits
Dr. Kolli Srinivas embarked on his academic journey with a passion for computer science and engineering. His formative years were characterized by a deep commitment to learning and an unwavering curiosity about the world of technology. His academic pursuits laid a strong foundation for a future characterized by scholarly excellence and innovative research.
๐๏ธ Professional Endeavors
With over 15 years of rich experience in academia and research, Dr. Srinivas has established himself as a distinguished educator and researcher. His professional journey is marked by significant contributions to teaching, research, and academic administration. As an Assistant Professor, he has excelled in fostering student engagement and learning, utilizing innovative teaching methodologies to inspire the next generation of computer science and engineering professionals.
๐ Contributions and Research Focus
Dr. Srinivas’s research interests encompass a broad spectrum of cutting-edge topics, including Data Science, Data Mining, Artificial Intelligence & Machine Learning, Soft Computing, Cloud Computing, Internet of Things (IoT), Blockchain, and Cybersecurity. His prolific research output is evidenced by his numerous publications in reputable journals and conferences, with significant citations and a notable h-index. His contributions to the academic community include:
- Scopus Indexed Journal Publications: 10
- Web of Science (SCI) Publications: 2
- International Journal Publications: 9
- Book Chapters in Scopus: 8
- Conferences in Scopus: 4
- Overall Publications: 31
๐ Accolades and Recognition
Dr. Srinivas’s scholarly excellence has been recognized through various awards and accolades. He has published four patents and authored two textbooks on machine learning, which serve as valuable resources for students and researchers alike. His patents include:
- IUML-STOCK PRICES PREDICTOR: INTELLIGENT STOCK PRICES PREDICTOR USING MACHINE LEARNING
- REAL TIME PEDESTRIAN CROSSING DETECTION USING DEEP LEARNING
- A SYSTEM BASED ON BIG DATA ANALYTICS FOR HR MANAGEMENT AND STAFFING PROJECTS OF AN ORGANIZATION
- CLOUD COMPUTING AND IOT BASED SMART ECOMMERCE PLATFORM METHOD THEREOF
๐ Impact and Influence
Dr. Srinivas’s influence extends beyond the confines of his institution. As a life member of the International Association of Engineers (IAENG) and the Teaching and Education Research Association (TERA), as well as a member of the Society of Digital Information and Wireless Communications (SDIWC), he actively contributes to the global academic community. His role as an editorial board member and reviewer for various esteemed journals further underscores his commitment to advancing knowledge and fostering scholarly dialogue.
๐ Legacy and Future Contributions
Dedicated to upholding the highest standards of academic integrity, diversity, and inclusivity, Dr. Srinivas strives to create a nurturing learning environment that empowers students from diverse backgrounds to thrive and succeed. His vision for the future involves continued growth, innovation, and service in the academic realm. He is poised to make significant contributions to the academic community, shaping the future of computer science and engineering education through his interdisciplinary collaborations and impactful research initiatives.
๐ฑ Legacy and Future Contributions
Dr. Srinivas’s enduring legacy lies in his unwavering dedication to education and research. As he continues to inspire and mentor future generations of scholars, his contributions will undoubtedly leave a lasting impact on the field of computer science and engineering. His commitment to excellence, innovation, and collaboration ensures that he will remain a pivotal figure in academia, driving progress and fostering a culture of knowledge and discovery.
Publication Top Noted:๐
Paper Title:ย SOA-EACR: Seagull optimization algorithm based energy aware cluster routing protocol for wireless sensor networks in the livestock industry
Authors: S. Sankar, R. Somula, B. Parvathala, S. Kolli, S. Pulipati
Journal: Sustainable Computing: Informatics and Systems
Volume: 33
Issue: –
Pages: 100645
Year: 2022
Paper Title: Adaptive Clustering Approach to Handle Multi Similarity Index for Uncertain Categorical Data Streams
Authors: M.S. Srinivas Kolli
Journal: Journal of Advanced Research in Dynamical and Control Systems (JARDCS)
Volume: 10
Issue: Special Issue
Pages: –
Year: 2018
Paper Title:ย A Novel Granularity Optimal Feature Selection based on Multi-Variant Clustering for High Dimensional Data
Authors: S. Kolli
Journal: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
Volume: 12
Issue: 3
Pages: –
Year: 2021
Paper Title: A Novel Index Based Procedure to Explore Similar Attribute Similarity in Uncertain Categorical Data
Authors: S. Kolli, M. Sreedevi
Journal: ARPN Journal of Engineering and Applied Sciences
Volume: 14
Issue: 12
Pages: 2266-2272
Year: 2019
Paper Titleย Prototype Analysis of Different Data Mining Classification and Clustering Approaches
Authors: M.S. Srinivas Kolli
Journal: ARPN Journal of Engineering and Applied Sciences
Volume: 13
Issue: 9
Pages: 3129-3135
Year: 2018
Paper Title: Internet of Things for Pervasive and Personalized Healthcare: Architecture, Technologies, Components, Applications, and Prototype Development
Authors: S. Kolli, P.K. AV, J. Ashok, A. Manikandan
Journal: Contemporary Applications of Data Fusion for Advanced Healthcare Informatics
Volume: –
Issue: –
Pages: –
Year: 2023
Paper Title: Neural Network based Obfuscated Malware Detection
Authors: S. Kolli, P. Balakesavareddy, D. Saravanan
Journal: 2021 International Conference on System, Computation, Automation and Networking (ICSCAN)
Volume: –
Issue: –
Pages: –
Year: 2021
Paper Title: A Novel NLP and Machine Learning Based Text Extraction Approach from Online News Feed
Authors: P.B.R. Srinivas Kolli, Peddarapu Rama Krishna
Journal: ARPN Journal of Engineering and Applied Sciences
Volume: 16
Issue: 6
Pages: 679-685
Year: 2021
Paper Title: Generous Information Safety System for Investors in Online Trading Secretly Using KP-ABE Machine Learning Method
Authors: S. Kolli, A.S. Hanuman, J.V.K. Ratnam, J.J. Naidu, D. Shankar, K. Saikumar
Journal: International Journal of Intelligent Systems and Applications in Engineering
Volume: 12
Issue: 7S
Pages: 285-297
Year: 2024
Paper Title: Prediction of Water Quality Parameters by IoT and Machine Learning
Authors: S. Kolli, M. Ranjani, P. Kavitha, D.A.P. Daniel, A. Chandramauli
Journal: 2023 International Conference on Computer Communication and Informatics (ICCCI)
Volume: –
Issue: –
Pages: –
Year: 2023