Janusz Kacprzyk | cryptography | Best Researcher Award

Posted on by AI Data Scientist

Prof. Janusz Kacprzyk | cryptography | Best Researcher Award

Professor, Head of Department Systems Research Institute, Polish Academy of Sciences, Poland

Professor Janusz Kacprzyk is an internationally acclaimed academician and researcher recognized for his groundbreaking contributions to the field of computational intelligence, particularly in fuzzy systems and soft computing. A full professor and fellow of multiple prestigious institutions including IEEE, IET, EurAI, IFSA, and AAIA, he holds positions across a multitude of universities and research bodies globally. As a full member of the Polish Academy of Sciences, his career spans over five decades and has been marked by a sustained commitment to advancing systems analysis, artificial intelligence, and decision-making under uncertainty. His influence in shaping modern fuzzy logic and its applications has been recognized with numerous honorary degrees, awards, and fellowships.

Profile

Orcid

Education

Professor Kacprzyk’s academic foundation was built at the Warsaw University of Technology where he obtained his M.S. in computer science and automatic control in 1970. He further earned his Ph.D. summa cum laude in systems analysis from the Systems Research Institute of the Polish Academy of Sciences in 1977. He achieved his habilitation (D.Sc.) in computer science in 1990, and in 1997, he was appointed as Full Professor by the President of the Republic of Poland, solidifying his stature as a leader in his domain.

Experience

Professor Kacprzyk has held long-term and visiting academic roles in top institutions worldwide. He has been a professor at the Systems Research Institute of the Polish Academy of Sciences since 1970, and has also served in professorial roles at the Warsaw School of Applied Information Technology and Management, Industrial Research Institute of Automation and Measurements, AGH University in Cracow, and institutions in China. Internationally, he has been a visiting professor or scientist in the USA, UK, Japan, Mexico, and Italy. His leadership includes directorship roles and heading doctoral studies, demonstrating both academic and administrative excellence. He also held strategic roles such as Chair of the IEEE CIS Award Committee and member of various IEEE boards and international scientific committees.

Research Interests

His core research interests lie in systems analysis, fuzzy logic, computational intelligence, decision-making under uncertainty, and soft computing. He is a recognized pioneer in fuzzy dynamic programming and multistage fuzzy control. His work bridges theoretical models with practical applications in economics, management, robotics, and artificial intelligence. Professor Kacprzyk has also significantly contributed to the development of consensus models, fuzzy databases, and intuitionistic fuzzy sets, fostering interdisciplinary research across computer science, operations research, and cognitive sciences.

Awards

Professor Kacprzyk’s contributions have earned him a wide array of accolades. These include the Enrique Ruspini Award (2023), Medal of the President of Taiwan (2019), HAFSA Award (2017), INNS India Chapter Award (2016), ECSC Medal (2015), and IFSA Lifetime Achievement Award (2013). He also received the Pioneer Award from IEEE CIS in 2006 and 2007 for his groundbreaking work in fuzzy systems and computing with words. Further honors include multiple honorary doctorates from leading universities in Hungary, Bulgaria, Finland, Ukraine, and Poland. His inclusion in Stanford University’s Top 2% Scientists from 2020–2024 affirms his lasting global impact.

Publications

Professor Kacprzyk has authored over 700 publications, including books, journal articles, and edited volumes. Some of his notable publications include:

  • Multistage Decision Making under Fuzziness, Verlag TÜV Rheinland, 1983.

  • Fuzzy Sets in Systems Analysis, PWN, 1986.

  • Multistage Fuzzy Control, Wiley, 1997.

  • Flows in Networks Under Fuzzy Conditions, Springer, 2017.

  • Fuzzy Transportation and Transshipment Problems, Springer, 2020.

  • Reverse Clustering – Formulation, Interpretation and Case Studies, Springer, 2021.

  • Granular, Fuzzy, and Soft Computing, Springer, 2023.
    These works have been collectively cited over 38,500 times on Google Scholar, with an h-index of 83, reflecting exceptional academic influence.

Conclusion

Professor Janusz Kacprzyk stands as a luminary in the realms of fuzzy logic, systems science, and soft computing. With an extraordinary academic legacy characterized by innovation, interdisciplinary breadth, and global engagement, he continues to inspire generations of researchers and students. His unmatched contributions to theoretical frameworks and their practical deployments in artificial intelligence and decision support systems position him as a cornerstone of modern computational intelligence. Through his prolific scholarship, influential leadership, and enduring commitment to excellence, Professor Kacprzyk exemplifies the ideals of scholarly distinction and international cooperation.

Mahesh Muthulaskhmi Ramasamy | Data Security | Best Researcher Award

Posted on by AI Data Scientist

Mrs. Mahesh Muthulaskhmi Ramasamy | Data Security | Best Researcher Award

JRF at Saveetha School of Engineering, India

R. Mahesh Muthulakshmi is a dedicated academician and researcher in the field of Computer Science and Engineering. With over 12 years of experience in teaching and research, he has significantly contributed to advancements in data security, cloud computing, and artificial intelligence. His commitment to excellence and continuous learning has earned him recognition in academia and research circles.

Profile

Google Scholar

Education

R. Mahesh Muthulakshmi holds a Ph.D. in Computer Science Engineering from Saveetha School of Engineering, SIMATS University, Thandalam, Chennai. He completed his Master of Engineering (M.E.) in Computer Science Engineering from VLB Janakiammal College of Engineering & Technology, affiliated with Anna University, Coimbatore, in May 2009. His academic journey began with a Bachelor of Engineering (B.E.) in Computer Science Engineering from Kamaraj College of Engineering & Technology, Virudhunagar, affiliated with Anna University, Chennai, in May 2007. His strong educational background has laid the foundation for his expertise in research and teaching.

Experience

With an extensive teaching career spanning over a decade, R. Mahesh Muthulakshmi has served as an Assistant Professor in various esteemed institutions. He worked at Indira Gandhi College of Engineering and Technology for Women, Chengalpattu, from May 2011 to November 2021. Prior to that, he held positions at Sri Raaja Raajan College of Engineering and Technology, Karaikudi, and Nehru College of Engineering and Research Center, Pampady, Kerala. His experience has been instrumental in shaping young minds in the field of computer science.

Research Interest

His primary research interests include data security in cloud computing, artificial intelligence, cryptography, and network security. He has extensively worked on encryption techniques, adversarial networks, and machine learning applications in cybersecurity. His research aims to develop robust security solutions to tackle evolving cyber threats and ensure secure data transmission in industrial and healthcare domains.

Awards

R. Mahesh Muthulakshmi has been recognized for his contributions to academia and research. He received the Excellence Award in 2024 from Educators Empowering India. Additionally, he was honored with the Best Poster Award at the 2024 Star Submit SIMATS School of Engineering. His commitment to research and teaching continues to earn him accolades in his field.

Publications

Mahesh Muthulakshmi R and Anithaashri T. P – “An Optimized Dual Generative Hyperbolic Graph Adversarial Network with Multi Factor Random Permutation Pseudo Algorithm based Encryption for Secured Industrial Healthcare Data Transferring.” Transactions on Emerging Telecommunications Technologies (2024) (SCI).

Mahesh Muthulakshmi R and Anithaashri T. P – “Data Security in Cloud Computing Using Maritime Search and Rescue Algorithm.” ICSTSN 2024, Villupuram, India (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “A Robust Approach to Cloud Data Security using an Amalgamation of AES and Code-Based Cryptography.” ICSTEM 2024, Coimbatore, India (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “Novel Weight-Improved Particle Swarm Optimization to Enhance Data Security in Cloud.” I-SMAC 2023, Kirtipur, Nepal (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “Enhancing the Detection of DDoS Attacks in Cloud using Linear Discriminant Algorithm.” ICCES 2023, Coimbatore, India (Scopus).

Mahesh Muthulakshmi R, T. P. Anithaashri, C. Nataraj, V. S. N. Talasila – “Enhancing Data Security in Cloud using Artificial Neural Network with Backward Propagation.” AIP Conf. Proc. 2024 (Scopus, WoS).

Muthulakshmi R. M., Kanimozhi R., Keerthana M., & Sneha V. – “The Security in Online Data Sharing on the Public Server using Secure Key-Aggregate Cryptosystems with Broadcast Aggregate Keys.” International Journal of Advance Research in Science and Engineering, 2018.

Conclusion

R. Mahesh Muthulakshmi is a seasoned academician and researcher dedicated to advancing knowledge in computer science, particularly in cybersecurity and artificial intelligence. His extensive teaching experience, combined with a strong research portfolio, has contributed to the academic community and industry innovations. With numerous research publications, awards, and a passion for technological advancements, he continues to inspire and educate future generations in the field of computer science and engineering.