Junbeom Hur | Computer Science | Best Researcher Award

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Prof. Junbeom Hur | Computer Science | Best Researcher Award

Professor | Korea University | South Korea

Prof. Junbeom Hur’s research career is defined by impactful contributions to the fields of computer and cyber security, applied cryptography, and network defense systems. His extensive experience as a project leader and researcher encompasses advanced investigations into identity and attribute-based encryption, secure multi-party computation, and privacy-enhancing technologies such as differential privacy and anonymity protocols. He has directed several major research initiatives, including the Brain Korea 21 (BK21) FOUR project in computer science and engineering, which focuses on developing next-generation security frameworks for cloud computing, AI-driven systems, and data protection infrastructures. His work on virtualization security and side-channel attack defenses has strengthened cloud computing environments against sophisticated vulnerabilities, while his exploration of cloud data access control has contributed to secure, scalable information management solutions. In network security, Dr. Hur’s projects have tackled challenges in group key management, secure multicast, RDMA-based attack mitigation, and TLS vulnerability detection, ensuring resilient and trustworthy network communication. His more recent research ventures expand into AI and blockchain security, particularly focusing on protecting machine-learning-as-a-service platforms, enhancing neural network resilience against adversarial threats, and improving anonymity and deanonymization mechanisms in blockchain ecosystems and dark web analysis. Through collaborative and interdisciplinary projects, Dr. Hur continues to advance the understanding of how cryptographic and computational techniques can safeguard emerging technologies. His sustained leadership roles, including as Head of the Center for Information System Security and Vice Dean at Korea University’s College of Informatics, underscore his ability to integrate academic insight with practical innovation, fostering secure digital transformation in academia and industry alike. His future research trajectory is poised to further strengthen global cybersecurity frame

Publications:

Yoon, H., Yu, M., Hahn, C., Koo, D., & Hur, J. (2024). Exploiting hidden information leakages in backward privacy for dynamic searchable symmetric encryption. Applied Sciences, 14(6), 2287.

Yoon, H., Moon, S., Kim, Y., Hahn, C., Lee, W., & Hur, J. (2020). SPEKS: Forward private SGX-based public key encryption with keyword search. Applied Sciences, 10(21), 7842.

Koo, D., Shin, Y., Yun, J., & Hur, J. (2018). Improving security and reliability in Merkle tree-based online data authentication with leakage resilience. Applied Sciences, 8(12), 2532.

Hur, J. (2017). Privacy-preserving aggregation and authentication of multi-source smart meters in a smart grid system. Applied Sciences, 7(10), 1007.

Dr. Mukesh Kumar Sharma – Fuzzy Optimization – Excellence in Research

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Dr. Mukesh Kumar Sharma - Fuzzy Optimization - Excellence in Research

Chaudhary Charan Singh University - India

AUTHOR PROFILE

ORCID
GOOGLE SCHOLAR

SUMMARY

Dr. Mukesh Kumar Sharma is an accomplished academic and researcher specializing in Operations Research and advanced fuzzy reliability systems. With extensive expertise in mathematical modeling, artificial intelligence, blockchain, and healthcare systems, Dr. Sharma integrates theoretical rigor with practical application. His scholarly output spans multiple interdisciplinary areas including IoMT, optimization, and decision-making. His leadership in academia and scholarly societies reflects both administrative acumen and deep subject knowledge.

EDUCATION

Dr. Sharma possesses a robust educational foundation in mathematical sciences, with a specialized focus on reliability theory and fuzzy systems. His advanced academic training supports a multidisciplinary research agenda, integrating computational intelligence, engineering applications, and operations management. His academic trajectory supports his broad contributions to both theoretical research and real-world problem solving across various technical domains.

PROFESSIONAL EXPERIENCE

Dr. Sharma serves at Chaudhary Charan Singh University, Meerut, where he holds several senior roles including Head of Department and Coordinator of the UG Cell. His responsibilities span academic leadership, examination control, evaluation oversight, and policy implementation. He has contributed actively in multiple university committees, further demonstrating his commitment to institutional development and student-centric governance.

RESEARCH INTEREST

His research interests include Fuzzy Sets, Vague Sets, Transportation Models, Artificial Intelligence, Blockchain Technology, and IoMT. Dr. Sharma is particularly known for his work in Fuzzy Reliability, Mathematical Modeling, and their applications in healthcare and autonomous systems. He focuses on developing new computational models and decision-making frameworks that solve complex real-life problems in dynamic environments.

AWARD AND HONOR

Dr. Sharma holds life memberships in several prestigious organizations, including the Indian Mathematical Society, Operational Research Society of India, and Indian Science Congress Association. He is also associated with international bodies such as the American Biographic Institute and contributes actively to the Soft Computing Research Society. These memberships recognize his scholarly standing and commitment to global research engagement.

RESEARCH SKILL

Dr. Sharma demonstrates expertise in fuzzy logic, multi-criteria decision-making (MCDM), optimization, and soft computing techniques. His skills encompass simulation, algorithmic development, and hybrid systems modeling. He is proficient in applying machine learning and artificial intelligence to fields such as energy, transportation, healthcare diagnostics, and structural reliability, aligning theory with actionable solutions.

PUBLICATIONS TOP NOTED

He has authored high-impact papers in OPSEARCH, Scientific Reports, Journal of Discrete Mathematical Sciences and Cryptography, and Experimental Cell Research. Notable contributions include novel models for fuzzy transportation, digital twin protocols, waste management systems, and COVID-19 analysis through fuzzy logic. His interdisciplinary work reflects innovation in mathematical modeling and real-world implementation.

Title: A sustainable 4-dimensional transportation system under dual hesitant Fermatean fuzzy configuration with safety constraints
Authors: M. K. Sharma, Sadhna Chaudhary
Journal: OPSEARCH (2025-04-24)
DOI: 10.1007/s12597-025-00947-5

Title: Novel Pythagorean fuzzy score function to optimize fuzzy transportation models
Authors: Ritu, Tarun Kumar, Jahnvi, Kapil Kumar, Nitesh Dhiman, M. K. Sharma
Journal: Results in Engineering (2025-03)
DOI: 10.1016/j.rineng.2025.104048

Title: Exploring the role of exosomal lncRNA in cancer immunopathogenesis: Unraveling the immune response and EMT pathways
Authors: Sharif Alhajlah, Saade Abdalkareem Jasim, Farag M.A. Altalbawy, Pooja Bansal, Harpreet Kaur, Jaafaru Sani Mohammed, Mohammed N. Fenjan, Reem Turki Edan, M. K. Sharma, Ahmed Hussein Zwamel
Journal: Experimental Cell Research (2025-02)
DOI: 10.1016/j.yexcr.2024.114401

Title: A circular economy based nonlinear corrugated waste management system using Fermatean bipolar hesitant fuzzy logic
Authors: Sadhna Chaudhary, Apu Kumar Saha, M. K. Sharma
Journal: Scientific Reports (2025-02-27)
DOI: 10.1038/s41598-025-90948-7

Title: Enhancing Hotel Customer Service With AI-Powered Chatbots
Authors: Tarun Kumar Vashishth, Vikas Sharma, Mukesh Kumar Sharma, Rajeev Sharma
Journal: Book Chapter (2025-01-17)
DOI: 10.4018/979-8-3693-7127-5.ch004

CONCLUSION

Dr. Mukesh Kumar Sharma stands as a distinguished figure in mathematical and computational sciences. Through active research, publication, and academic leadership, he has substantially advanced the field of fuzzy systems and their applications. His diverse expertise, global affiliations, and continuous innovation make him a key contributor to contemporary science and technology research.