Volodymyr Polishchuk | Computer Science | Best Researcher Award

Prof. Volodymyr Polishchuk | Computer Science | Best Researcher Award

Uzhhorod National University, Ukraine

Volodymyr Polishchuk is a distinguished academic specializing in information technology, fuzzy systems, and decision-making models. Currently serving as a Professor at both Uzhhorod National University in Ukraine and the Technical University of Košice in Slovakia, he has made significant contributions to the fields of artificial intelligence, risk assessment, and sustainable tourism. With a career spanning over a decade, he has co-authored numerous publications, including journal articles and book chapters, focusing on the application of advanced decision models in various sectors. His research is internationally recognized, and he is an active member of several academic networks. He is known for his interdisciplinary approach, bridging information technology with real-world challenges such as healthcare, aviation education, and urban development.

Professional Profile 

Education

Volodymyr Polishchuk holds a prestigious Doctor of Sciences (DrSc.) degree from Uzhhorod National University, where he also completed his undergraduate and graduate education. His academic journey in information technology, mathematics, and fuzzy systems laid a strong foundation for his future research and teaching. As a professor at the university, he has guided numerous students and collaborated on innovative projects. Additionally, his academic credentials are complemented by his position at the Technical University of Košice in Slovakia, where he continues to contribute to cutting-edge research in his fields of expertise. His educational background supports his broad interdisciplinary approach, allowing him to address complex problems in various domains such as tourism, healthcare, and risk management.

Professional Experience

Professor Polishchuk has been a dedicated faculty member at Uzhhorod National University since 2011, where he teaches and conducts research at the Faculty of Information Technology. Over the years, he has gained recognition for his expertise in decision-making models and fuzzy systems. In addition to his role at Uzhhorod, he has been a professor at the Technical University of Košice, Slovakia. His professional experience extends beyond teaching, as he has collaborated on numerous international research projects and published widely in top-tier journals. He has also worked on hybrid decision models for risk assessment in sectors such as sustainable tourism, healthcare, and aviation education. His leadership in academic research has earned him recognition through various academic platforms, and he continues to actively engage with the global research community.

Research Interests

Volodymyr Polishchuk’s research primarily focuses on information technology, fuzzy systems, and decision-making models, with a particular emphasis on their practical applications across various industries. He is deeply engaged in developing hybrid models for evaluating complex processes, such as tourism sustainability, risk assessment, and healthcare outcomes. His work also explores the integration of artificial intelligence in decision-making, specifically in aviation education and urban development. Additionally, he is interested in the application of multicriteria decision analysis (MCDA) in solving real-world challenges. Polishchuk’s interdisciplinary approach allows him to connect cutting-edge technology with pressing global issues, contributing valuable insights to sectors like smart cities, start-up financing, and pandemic management. His research has significant implications for optimizing resource allocation, improving system efficiency, and mitigating risks in both public and private sectors.

Awards and Honors

Throughout his academic career, Volodymyr Polishchuk has earned several prestigious honors and recognition for his contributions to research and education. His interdisciplinary approach to problem-solving has led to numerous successful collaborations with leading academic and industry experts across Europe. He has been acknowledged by his peers for his innovative contributions to the fields of fuzzy logic, decision support systems, and sustainability models. Polishchuk’s research papers are widely cited, indicating the significant impact his work has had on the academic community. His exceptional leadership in research has also helped foster international collaborations, particularly in the development of sustainable tourism models and risk assessment frameworks for emerging sectors. His continued excellence in academia and research is further demonstrated by his involvement in high-impact projects and his active participation in global conferences.

Publications Top Noted

  1. Artificial Intelligence Technology for Assessing the Practical Knowledge of Air Traffic Controller Students Based on Their Responses in Multitasking Situations
    • Authors: Antoško, M., Polishchuk, V., Kelemen, M., Korniienko, A., Kelemen, M.
    • Year: 2025
    • Journal: Applied Sciences (Switzerland)
    • Volume: 15(1), 308
    • Citations: 0
  2. A large-scale decision-making model for the expediency of funding the development of tourism infrastructure in regions
    • Authors: Skare, M., Gavurova, B., Polishchuk, V.
    • Year: 2025
    • Journal: Expert Systems
    • Volume: 42(1), e13443
    • Citations: 1
  3. On Convergence of the Uniform Norm and Approximation for Stochastic Processes from the Space Fψ(Ω)
    • Authors: Rozora, I., Mlavets, Y., Vasylyk, O., Polishchuk, V.
    • Year: 2024
    • Journal: Journal of Theoretical Probability
    • Volume: 37(2), pp. 1627–1653
    • Citations: 0
  4. THE IMPACT OF DIGITAL DISINFORMATION ON QUALITY OF LIFE: A FUZZY MODEL ASSESSMENT
    • Authors: Gavurova, B., Moravec, V., Hynek, N., Petruzelka, B., Stastna, L.
    • Year: 2024
    • Journal: Technological and Economic Development of Economy
    • Volume: 30(4), pp. 1120–1145
    • Citations: 0
  5. An information-analytical system for assessing the level of automated news content according to the population structure – A platform for media literacy system development
    • Authors: Gavurova, B., Skare, M., Hynek, N., Moravec, V., Polishchuk, V.
    • Year: 2024
    • Journal: Technological Forecasting and Social Change
    • Volume: 200, 123161
    • Citations: 0
  6. Decision Support System Regarding the Possibility of Financing Cross-Border Cooperation Projects
    • Authors: Polishchuk, V., Kelemen, M., Polishchuk, I., Kelemen, M.
    • Year: 2024
    • Conference: CEUR Workshop Proceedings
    • Volume: 3702, pp. 58–71
    • Citations: 0
  7. Hybrid Mathematical Model of Risk Assessment of UAV Flights Over Airports
    • Authors: Polishchuk, V., Kelemen, M., Kelemen, M., Scerba, M.
    • Year: 2024
    • Conference: New Trends in Civil Aviation
    • Citations: 0
  8. A Fuzzy Multicriteria Model of Sustainable Tourism: Examples From the V4 Countries
    • Authors: Skare, M., Gavurova, B., Polishchuk, V.
    • Year: 2024
    • Journal: IEEE Transactions on Engineering Management
    • Volume: 71, pp. 12182–12193
    • Citations: 6
  9. Fuzzy multicriteria evaluation model of cross-border cooperation projects under resource curse conditions
    • Authors: Skare, M., Gavurova, B., Polishchuk, V.
    • Year: 2023
    • Journal: Resources Policy
    • Volume: 85, 103871
    • Citations: 3
  10. A fuzzy model for evaluating the level of satisfaction of tourists regarding accommodation establishments according to social class on the example of V4 countries
  • Authors: Skare, M., Gavurova, B., Polishchuk, V., Nawazish, M.
  • Year: 2023
  • Journal: Technological Forecasting and Social Change
  • Volume: 193, 122609
  • Citations: 7

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