Ravikumar Ch | Computer Architecture | Best Researcher Award Posted on 04/07/2024 by sciencefatherLeave a Comment on Ravikumar Ch | Computer Architecture | Best Researcher Award Dr. Ravikumar Ch | Computer Architecture | Best Researcher Award Assistant Professor at CHAITANYA BHARATHI INSTITUTE OF TECHNOLOGY, India. Dr. Ravikumar Ch holds a Ph.D. from Lovely Professional University, Punjab, and is currently serving as an Assistant Professor in the Department of AI&DS at CBIT, Hyderabad, an autonomous institution accredited by NBA and UGC. With over 13 years of experience in academia, he has previously held roles at CVR College of Engineering and Avanthi Scientific Research Academy. His expertise spans areas such as Cloud Computing, IoT, Machine Learning, and Blockchain, with several papers published in reputed conferences and journals. Dr. Ravikumar is dedicated to enhancing student learning and research outcomes, evident through his active participation in faculty development programs and workshops focused on emerging technologies. Professional Profiles: Scopus Profile ORCID Profile Google Scholar Education 🎓 Dr. Ravikumar Ch has pursued a distinguished educational journey, culminating in a Ph.D. in Artificial Intelligence and Data Science from Lovely Professional University, Punjab, India, which he successfully completed in June 2024. Prior to his doctoral studies, he earned his M.Tech in Computer Science and Engineering from Jawaharlal Nehru Technological University (JNTU), Hyderabad, and his B.Tech in the same discipline from the same institution. His educational foundation includes intermediate studies at APSWR Junior College, Bhonagir, and secondary education at AVM High School, Suryapet, both located in Telangana, India. Dr. Ravikumar’s academic trajectory reflects a commitment to advancing his expertise in computer science and preparing for a career focused on teaching and research in AI and data science. Professional Experience Dr. Ravikumar Ch brings over 13 years of rich professional experience in academia, specializing in Artificial Intelligence and Data Science. Currently serving as an Assistant Professor in the Department of AI & DS at Chaitanya Bharathi Institute of Technology (CBIT), Hyderabad, an institution recognized for its autonomy under UGC and accredited by NBA, he also holds the prestigious role of a NIRF Central Committee Member. His tenure at CBIT began in September 2023 and continues to date, where he actively contributes to academic and research endeavors. Previously, Dr. Ravikumar held roles as an Assistant Professor in AI & ML at CVR College of Engineering and as HOD at Avanthi Scientific Research Academy in Abdullapurmet. His teaching career commenced at Holy Mary Institute of Technology and later at Scient Institute of Technology, Ibrahimpatnam. This extensive experience underscores his expertise in subjects such as Operating Systems, Digital Logic & Computer Architecture, Cloud Computing, IoT, and various programming languages, contributing significantly to student development and academic excellence. Subject Area Dr. Ravikumar Ch has accumulated over 13 years of experience in academia, specializing in Computer Science and Engineering disciplines. Currently serving as an Assistant Professor in Artificial Intelligence and Data Science at CBIT (UGC Autonomous) in Hyderabad since September 2023, he also holds the role of a NIRF Central Committee Member. Previously, he worked as an Assistant Professor in AI and Machine Learning at CVR College of Engineering and as Assistant Professor and HOD at Avanthi Scientific Research Academy. His teaching portfolio spans a wide array of subjects including Operating Systems, Digital Logic & Computer Architecture, Cloud Computing, IoT, and more. Dr. Ravikumar Ch has actively contributed to conferences and journals with publications focusing on emerging technologies like machine learning, blockchain, and cloud computing, underscoring his commitment to advancing technological education and research. Publications A novel design to minimize the energy consumption and node traversing in blockchain over cloud using ensemble cuckoo model Authors: A. Ravikumar Ch, Isha Batra Journal: International Journal on Recent and Innovation Trends in Computing and … Year: 2022 Citations: 2 Blockchain Based Secure with Improvised Bloom Filter over a Decentralized Access Control Network on a Cloud Platform Authors: R. Ch, I. Batra, A. Malik Journal: Journal of Engineering Science and Technology Review Year: 2023 Citations: 1 A Comparative Analysis on Blockchain Technology Considering Security Breaches Authors: CH Ravikumar, I. Batra, A. Malik Proceedings: Trends in Electronics and Health Informatics: TEHI 2021 Year: 2022 Citations: 1 Enhancing digital security using Signa-Deep for online signature verification and identity authentication Authors: MR Ravikumar Ch, Mulagundla Sridevi Journal: International Journal of Systematic Innovation Year: 2024 A comparative analysis for deep learning-based approaches for image forgery detection Authors: PM Ravikumar Ch, Marepalli Radha, Maragoni Mahendar Journal: International Journal of Systematic Innovation Year: 2024 A Comparative Study of Machine Learning Models for Early Detection of Skin Cancer Using Convolutional Neural Networks Authors: KR Ch Ravikumar, Marepalli Radha, Medikonda Asha Kiran Journal: Indian Journal of Science and Technology Year: 2023 Improving Phishing Website Detection with Machine Learning: Revealing Hidden Patterns for Better Accuracy Authors: RKC Garlapati Narayana, Uma Devi Manchala, Usikela Naresh, Saggurthi Kiran … Journal: International Journal on Recent and Innovation Trends in Computing and … Year: 2023 Crop Recommendation System Using Improved Apriori Algorithm Authors: RC Satyanarayana Nimmala, K Venkatesh Sharma Journal: International Journal on Recent and Innovation Trends in Computing and … Year: 2023 An Overview of Remote Patient Monitoring For Improved Patient Care and Cost Reduction: The IoT Revolutionizing Health Care Authors: PDK Ravikumar Ch, P Sudheer Journal: International Journal of Education and Management Engineering (IJEME) Year: 2023 PLAN & IMPLEMENTING LOAD ADJUSTING STRATEGIES IN CLOUD PROCESSING USING USER PRIORITY BASED SCHEDULING Author: R. Ch Journal: International Journal of Research Publication And Reviews Year: 2022
Pritisha Sarkar | Computer Science | Young Scientist Award Posted on 27/06/2024 by sciencefatherLeave a Comment on Pritisha Sarkar | Computer Science | Young Scientist Award Ms. Pritisha Sarkar | Computer Science | Young Scientist Award Research scholar at NIT Durgapur, India. Ms. Pritisha Sarkar is a dedicated researcher specializing in machine learning and deep learning within the realm of computer science. Her expertise spans conducting thorough literature reviews, designing and implementing experiments, and analyzing data using statistical methods and programming languages like Python, R, and Java. She applies advanced algorithms to solve complex problems in areas such as natural language processing and computer vision. Collaborative and innovative, Pritisha excels in interdisciplinary environments, contributing effectively to research teams. She communicates her findings effectively through scholarly publications and presentations, demonstrating a commitment to advancing knowledge and technology in her field. Professional Profiles: Scopus Profile Education Ms. Pritisha Sarkar is currently pursuing her Ph.D. in Computer Science at NIT Durgapur, focusing on machine learning and deep learning. She completed her B.Tech in Information Technology from the Government College of Engineering and Leather Technology under M.A.K.A.U.T, Kolkata, graduating in 2016 with a DGPA of 7.84. Continuing her academic journey, she pursued an M.Tech in Computer Science at the National Institute of Technical Teachers’ Training & Research, Kolkata, graduating in 2018 with a DGPA of 8.15. Pritisha’s educational background highlights her dedication to advancing her expertise in computer science, particularly in machine learning and deep learning. Research Interest Ms. Pritisha Sarkar’s research interests encompass machine learning and deep learning, particularly focusing on advanced algorithms, neural networks, and their applications in areas such as natural language processing, computer vision, and data analytics. Her academic pursuits and ongoing Ph.D. research at NIT Durgapur underscore her commitment to exploring these technologies and their practical implementations. Research Skills Ms. Pritisha Sarkar excels in a wide array of research skills cultivated throughout her academic and professional journey. Her expertise includes conducting comprehensive literature reviews to discern existing research trends and identify areas for exploration. She is adept at designing and executing experiments to validate hypotheses and advance scientific knowledge. Proficient in data analysis using statistical methods and programming languages like Python, R, and Java, she applies these skills to extract meaningful insights from complex datasets. Specializing in machine learning and deep learning, Pritisha employs advanced algorithms to address intricate challenges in domains such as natural language processing and computer vision. Her problem-solving abilities and analytical mindset enable her to innovate and develop impactful solutions. Collaborative by nature, she thrives in interdisciplinary environments, contributing effectively to research teams. Pritisha communicates her findings with clarity and precision through scholarly papers, presentations, and discussions, ensuring her research makes a significant impact in the field of computer science. Publications Optimizing air quality monitoring device deployment: a strategy to enhance distribution efficiency Authors: P. Sarkar, M. Saha Journal: International Journal of Information Technology (Singapore) Year: 2024 Volume: 16 Issue: 5 Pages: 2981–2985 Machine learning-based detection of sudden air pollutant level changes: impacts on public health Authors: P. Sarkar, M. Saha Journal: International Journal of Information Technology (Singapore) Year: 2024 Article in Press Impact of bursting fireworks during Diwali in Durgapur suburb, India: A case study Authors: P. Sarkar, M.K. Makkena, A. Bose, S. Saha, M. Saha Conference: ACM International Conference Proceeding Series Year: 2023 Pages: 384–389 Citations: 2 Analyzing the Severity of Air Pollution in an Industrialized Suburb Authors: P. Sarkar, M.K. Makkena, S. Saha, M. Saha Conference: 14th International Conference on Computing Communication and Networking Technologies (ICCCNT 2023) Year: 2023 City-wide Spatio-temporal Effect on AQI Authors: P. Sarkar, S. Ahmed, A. Bose, S. Saha, M. Saha Conference: Proceedings of 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2022) Year: 2022 Pages: 13–18 Citations: 2 Nature-Inspired Computing Behaviour of Cellular Automata Authors: M. Ghosh, P. Sarkar, M. Saha Book: Lecture Notes in Electrical Engineering Year: 2021 Volume: 694 Pages: 137–149 Citations: 1 An Intelligent Technique to Find Bicliques and its Application to Optimum Matching Problem Authors: P. Sarkar, K. Giri Conference: International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE 2020) Year: 2020 Article ID: 9077790 Citations: 1