Mr. Rajeev Ratna Vallabhuni | Computer Science | Young Scientist Award
Application Developer at Texans IT Services Inc., India
Rajeev Ratna Vallabhuni is an accomplished Application Developer with a rich background in computer science, technology, and engineering. He has contributed significantly to the field through several innovative patents in areas such as blockchain-based cloud applications, machine learning, and IoT security. His work spans various domains including AI/ML, image processing, and network management, with numerous research publications in international journals and conferences. With experience at Bayview Asset Management, LLC, he has a strong track record of applying cutting-edge technologies to real-world applications. His expertise in both academic and professional settings makes him a leading figure in the field of information technology and software development.
Professional Profile
Education
Rajeev Ratna Vallabhuni holds a Master of Science in Information Technology Management from Campbellsville University, Kentucky, and a Master of Science in Computer Science Engineering from Northwestern Polytechnic University, California, USA. He also completed his Bachelor of Technology in Information and Technology at Vignan University, India. His educational foundation has equipped him with a diverse skill set, allowing him to specialize in software development, computer engineering, and cutting-edge technological innovations.
Professional Experience
Rajeev currently works as an Application Developer at Bayview Asset Management, LLC, where he plays a key role in developing and optimizing software applications. His previous professional experience includes working on various projects related to AI/ML, blockchain, and IoT security. He has contributed to numerous patents, book chapters, and international journal publications. Rajeev’s expertise spans both technical development and leadership, and his ability to integrate machine learning and deep learning techniques into practical solutions has made him a valuable asset in the tech industry.
Research Interest
Rajeev Ratna Vallabhuni’s research interests lie at the intersection of artificial intelligence, machine learning, cloud computing, and Internet of Things (IoT) technologies. His work primarily focuses on enhancing the security of IoT networks, leveraging blockchain for decentralized application architectures, and utilizing deep learning models for image and signal processing. Rajeev is also interested in exploring advanced computational methods for improving network management, resource allocation, and real-time data processing in cloud environments. His innovative research aims to develop scalable, efficient, and secure solutions for modern computing challenges, bridging the gap between theoretical algorithms and real-world applications.
Awards and Honors
Rajeev Ratna Vallabhuni has received numerous accolades for his contributions to the fields of software development, machine learning, and IoT security. Notable recognitions include multiple patents for his innovations in blockchain-based applications, AI/ML, and security systems. He has been awarded fellowships and scholarships during his academic career, showcasing his dedication to pushing the boundaries of technology. Additionally, Rajeev’s research has been published in prestigious international journals and recognized at numerous conferences, further cementing his reputation as a leading figure in his field.
Publications Top Noted
- Smart cart shopping system with an RFID interface for human assistance
Authors: RR Vallabhuni, S Lakshmanachari, G Avanthi, V Vijay
Year: 2020
Citation: 92 - Performance analysis: D-Latch modules designed using 18nm FinFET Technology
Authors: RR Vallabhuni, G Yamini, T Vinitha, SS Reddy
Year: 2020
Citation: 85 - Disease prediction based retinal segmentation using bi-directional ConvLSTMU-Net
Authors: BMS Rani, VR Ratna, VP Srinivasan, S Thenmalar, R Kanimozhi
Year: 2021
Citation: 68 - ECG performance validation using operational transconductance amplifier with bias current
Authors: V Vijay, CVSK Reddy, CS Pittala, RR Vallabhuni, M Saritha, M Lavanya, …
Year: 2021
Citation: 63 - A Review On N-Bit Ripple-Carry Adder, Carry-Select Adder And Carry-Skip Adder
Authors: V Vijay, M Sreevani, EM Rekha, K Moses, CS Pittala, KAS Shaik, …
Year: 2022
Citation: 62 - Speech Emotion Recognition System With Librosa
Authors: PA babu, VS Nagaraju, RR Vallabhuni
Year: 2021
Citation: 62 - 6Transistor SRAM cell designed using 18nm FinFET technology
Authors: RR Vallabhuni, P Shruthi, G Kavya, SS Chandana
Year: 2020
Citation: 60 - Universal Shift Register Designed at Low Supply Voltages in 20nm FinFET Using Multiplexer
Authors: RR Vallabhuni, J Sravana, CS Pittala, M Divya, BMS Rani, S Chikkapally, …
Year: 2021
Citation: 58 - Numerical analysis of various plasmonic MIM/MDM slot waveguide structures
Authors: CS Pittala, RR Vallabhuni, V Vijay, UR Anam, K Chaitanya
Year: 2022
Citation: 57 - Design of Comparator using 18nm FinFET Technology for Analog to Digital Converters
Authors: RR Vallabhuni, DVL Sravya, MS Shalini, GU Maheshwararao
Year: 2020
Citation: 55 - High Speed Energy Efficient Multiplier Using 20nm FinFET Technology
Authors: VR Ratna, S M, S N, V V, PC Shaker, D M, S Sadulla
Year: 2021
Citation: 53 - Physically unclonable functions using two-level finite state machine
Authors: V Vijay, K Chaitanya, CS Pittala, SS Susmitha, J Tanusha, …
Year: 2022
Citation: 48 - Realization and comparative analysis of thermometer code based 4-bit encoder using 18 nm FinFET technology for analog to digital converters
Authors: CS Pittala, V Parameswaran, M Srikanth, V Vijay, V Siva Nagaraju, …
Year: 2021
Citation: 45 - Comparative validation of SRAM cells designed using 18nm FinFET for memory storing applications
Authors: RR Vallabhuni, KC Koteswaramma, B Sadgurbabu, A Gowthamireddy
Year: 2020
Citation: 45