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

Chaudhary Charan Singh University - India

AUTHOR PROFILE

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.

Ilkay Cinar - Artificial intelligence - Best Researcher Award

Selcuk University - Turkey

AUTHOR PROFILE

GOOGLE SCHOLAR

SUMMARY

İlkay Çınar is a dynamic assistant professor and AI researcher dedicated to harnessing the power of artificial intelligence for practical solutions in agriculture, healthcare, and safety systems. Through academic excellence, research innovation, and committed mentorship, he continues to shape both technology and the minds that will drive its future.

EARLY ACADEMIC PURSUITS

İlkay Çınar began his academic journey in computer and electronics systems education, earning dual bachelor's degrees from Selçuk University in 2012 and 2018. His foundational years were marked by a growing fascination with artificial intelligence and image processing. He continued to explore machine learning in applied domains through his master’s research, focusing on classifying rice varieties using AI. His doctoral work on semantic image inpainting using deep generative models established his early dedication to pushing the boundaries of machine learning in visual computing.

PROFESSIONAL ENDEAVORS

As an academic at Selçuk University’s Department of Computer Engineering, İlkay Çınar advanced through the ranks from lecturer to assistant professor. He taught both undergraduate and graduate courses such as Image Processing, Web Architecture, and Smart Factory Systems. His work also included administrative leadership, serving as Deputy Director of the Distance Education Center. Throughout, he contributed to national research projects, emphasizing AI’s real-world applications across industries.

CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Çınar’s research centers on deep learning, machine learning, and their applications in agriculture, healthcare, and industry. His prolific publication record—spanning from automatic quality control in food processing to the detection of eye diseases and diabetes—demonstrates a commitment to interdisciplinary innovation. He has explored CNN, LSTM, and hybrid models, often with a focus on feature optimization, transfer learning, and mobile deployment, making his research impactful beyond academic circles.

ACCOLADES AND RECOGNITION

İlkay Çınar has published extensively in high-impact journals such as Computers and Electronics in Agriculture, Biomedical Signal Processing and Control, and European Food Research and Technology. His scholarly output includes more than 25 peer-reviewed international journal articles, numerous conference proceedings, and authored book chapters. His expertise has been acknowledged through active participation in prestigious conferences and ongoing collaborative projects, including TUBITAK-funded studies.

IMPACT AND INFLUENCE

Dr. Çınar’s research contributes significantly to societal needs by addressing challenges like food safety, medical diagnostics, and industrial automation. His supervised theses involve real-world issues, such as workplace safety violations and disease detection, underlining his mentorship’s practical value. He is helping shape a new generation of AI practitioners capable of integrating technological innovations with community needs.

LEGACY AND FUTURE CONTRIBUTIONS

Looking forward, İlkay Çınar is poised to continue advancing the integration of AI in health, agriculture, and environmental monitoring. His interdisciplinary focus positions him as a key figure in expanding the real-world applicability of deep learning in Turkey and beyond. His work on smart agriculture, medical image analysis, and automated quality assessment will likely have lasting impacts on both research and industrial sectors

NOTABLE PUBLICATIONS

Title: Classification of rice varieties with deep learning methods
Authors: M. Koklu, I. Cinar, Y.S. Taspinar
Journal: Computers and Electronics in Agriculture

Title: Classification of rice varieties using artificial intelligence methods
Authors: I. Cinar, M. Koklu
Journal: International Journal of Intelligent Systems and Applications in Engineering

Title: Classification of Date Fruits into Genetic Varieties Using Image Analysis
Authors: M. Koklu, R. Kursun, Y.S. Taspinar, I. Cinar
Journal: Mathematical Problems in Engineering

Title: Classification and analysis of pistachio species with pre-trained deep learning models
Authors: D. Singh, Y.S. Taspinar, R. Kursun, I. Cinar, M. Koklu, I.A. Ozkan, H.N. Lee
Journal: Electronics

Title: Identification of Rice Varieties Using Machine Learning Algorithms
Authors: I. Cinar, M. Koklu
Journal: Journal of Agricultural Sciences (Tarım Bilimleri Dergisi)

Title: Classification of Raisin Grains Using Machine Vision and Artificial Intelligence Methods
Authors: I. Cinar, M. Koklu, S. Tasdemir
Journal: Gazi Mühendislik Bilimleri Dergisi (GMBD)