Rajeev Ratna Vallabhuni | Computer Science | Young Scientist Award

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

Naeem Ullah | Computer Science | Best Researcher Award

Mr. Naeem Ullah | Computer Science | Best Researcher Award

PhD Student at Software Engineering Research Group (SERG-UOM) University of Malakand, Pakistan

Mr. Naeem Ullah is a dedicated academic and researcher currently pursuing a PhD in Computer Science, with a focus on cybersecurity challenges in vehicle-to-vehicle communication from a software engineering perspective. Holding a strong academic record with a CGPA of 3.75/4.00, he has presented his research at international forums, such as the 2nd Annual International Workshop on Software Engineering, where he shared his Multivocal Literature Review (MLR) protocol on cybersecurity culture. Mr. Ullah has also received recognition for his teaching excellence, earning the Best Teacher Award in 2018. His work experience includes roles as a lecturer at the University Model College KPK, part-time tutor at Allama Iqbal Open University, and facilitator for continuous professional development programs for teachers. His research, currently under review, addresses crucial cybersecurity issues in vehicle-to-vehicle communications. Mr. Ullah’s commitment to furthering his knowledge is evident through multiple certifications in data science, networking, and cybersecurity.

Professional Profile 

Education

Mr. Naeem Ullah has a strong educational background in Computer Science. He is currently pursuing a PhD in Computer Science with a focus on cybersecurity challenges in vehicle-to-vehicle communication, maintaining an impressive CGPA of 3.75/4.00. His research aims to develop a mitigation model for cybersecurity issues in connected vehicle systems, reflecting his deep engagement with current technological challenges. Mr. Ullah completed his Master’s degree in Computer Science in 2019, achieving a CGPA of 3.7/4.00, with his thesis titled Software Development Process Improvement Model for Small Pakistani Software Development Companies. He also holds a Bachelor’s degree in Computer Science from 2014, with a CGPA of 3.62/4.00. His final year project, Auction Management System, showcased his ability to apply practical solutions to real-world problems. Mr. Ullah’s academic journey is marked by consistent excellence and a strong commitment to advancing his expertise in the field of computer science.

Professional Experience

Mr. Naeem Ullah has accumulated diverse professional experience in both academic and research roles. He has served as a Lecturer in Computer Science at the University Model College KPK, Peshawar, Pakistan, where he taught and mentored students in various computer science subjects. In addition, he has worked as a part-time tutor for Allama Iqbal Open University, Islamabad, since 2022, focusing on Information and Communication Technologies (ICT). Mr. Ullah has also contributed to teacher development programs, serving as a facilitator for the Continuous Professional Development (CPD) of Primary School Teachers (PSTs) through the Provincial Institute of Teacher Education (PITE) in KPK. His role as a part-time researcher at the Department of Computer Science and IT at the University of Malakand further underscores his involvement in academic research. Earlier in his career, he worked as a Secondary School Teacher at the Elementary and Secondary Education Department, KPK. His experiences reflect a blend of teaching, research, and educational development.

Research Interest

Mr. Naeem Ullah’s research interests primarily focus on cybersecurity, particularly in the context of emerging technologies such as vehicle-to-vehicle (V2V) communication. His PhD research investigates cybersecurity challenges and proposes mitigation models for securing V2V communication systems from a software engineering perspective. This area of research is highly relevant due to the increasing integration of connected vehicles and the need for secure communication protocols to protect sensitive data. Additionally, Mr. Ullah is interested in software engineering, with a particular emphasis on improving software development processes for small software companies in Pakistan, as demonstrated in his Master’s thesis. He has also contributed to the field of cybersecurity culture through his work on a Multivocal Literature Review (MLR) protocol, which identifies cybersecurity challenges and best practices in V2V communication. His research endeavors aim to address critical issues in both cybersecurity and software engineering, contributing to the development of safer, more efficient technologies.

Award and Honor

Mr. Naeem Ullah has received notable recognition for his academic and professional achievements. In 2022, he presented his Multivocal Literature Review (MLR) Protocol at the 2nd Annual International Workshop on Software Engineering (WSE-2022), organized by the Software Engineering Research Group at the University of Malakand. This presentation, focused on Cybersecurity Culture, showcased his expertise and contribution to the field of cybersecurity. Additionally, Mr. Ullah earned the prestigious Best Teacher Award from the Director of Elementary and Secondary Education, KPK, Pakistan, in 2018. This recognition highlights his excellence in teaching and his commitment to fostering the growth and development of his students. These awards and honors reflect Mr. Ullah’s dedication to advancing both his academic research and educational practices, demonstrating his commitment to the fields of computer science and cybersecurity while contributing positively to the educational community.

Conclusion

Naeem Ullah is a promising candidate for the Best Researcher Award, with a solid academic record, a focused and impactful research topic, and a commitment to both education and professional development. His strengths lie in his dedication to advancing cybersecurity research in emerging technologies like vehicle-to-vehicle communication and his capacity for leadership in educational initiatives. To further enhance his candidacy, Naeem could focus on increasing his research output, expanding his research scope, and engaging more in international collaborations to elevate the impact of his work.

Publications Top Noted

  • Title: Solutions to Cybersecurity Challenges in Secure Vehicle-to-Vehicle Communications: A Multivocal Literature Review
    Authors: Naeem Ullah, S.U. Khan, M. Niazi, A.A. Khan, J.A. Nasir
    Journal: Information and Software Technology
    Year: 2025
    Volume: 179
    Article ID: 107639
    Citations: 0
  • Title: Challenges and Their Practices in Adoption of Hybrid Cloud Computing: An Analytical Hierarchy Approach
    Authors: S.U. Khan, H.U. Khan, Naeem Ullah, R.A. Khan
    Journal: Security and Communication Networks
    Year: 2021
    Article ID: 1024139
    Citations: 2
  • Title: Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review
    Authors: S. Nazir, Y. Ali, Naeem Ullah, I. García-Magariño
    Journal: Wireless Communications and Mobile Computing
    Year: 2019
    Article ID: 5931315
    Citations: 138
  • Title: Practices for Clients in the Adoption of Hybrid Cloud
    Authors: S.U. Khan, Naeem Ullah
    Journal: Proceedings of the Pakistan Academy of Sciences: Part A
    Year: 2017
    Volume: 54(1A)
    Pages: 13–32
    Citations: 3