Prof. Irina Perfilieva – machine learning – Best Researcher Award 

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Prof. Irina Perfilieva - machine learning - Best Researcher Award 

University of Ostrava - Czech Republic

AUTHOR PROFILE 

ORCID 

🎓 EARLY ACADEMIC PURSUITS

Professor Irina Perfilieva embarked on her academic journey at the prestigious Lomonosov State University in Moscow, Russia, where she earned her M.S. in Applied Mathematics in 1975, followed by a Ph.D. in 1980. Her early academic endeavors laid a solid foundation in applied mathematics, setting the stage for her future contributions to the field.

🏫 PROFESSIONAL ENDEAVORS

Irina Perfilieva holds the position of full professor of Applied Mathematics at the University of Ostrava in the Czech Republic. Her esteemed career has included roles as Professor Honoris Causa at the Amity Institute of Information Technology, India, and Doctor Honoris Causa at the University of Latvia. Throughout her professional journey, she has been an influential figure in the academic community, especially in the realm of fuzzy logic and applied mathematics.

📚 CONTRIBUTIONS AND RESEARCH FOCUS

Professor Perfilieva has made significant contributions to the field of fuzzy logic and mathematical modeling. She is the author and co-author of six influential books and has published over 270 papers. Her pioneering method of fuzzy transforms has found successful applications in image and time series processing, numerical analysis, and solving complex equations. Her machine learning research also delves into data analysis and the mathematical foundations of neural networks, utilizing both modern and classical approaches.

🏆 ACCOLADES AND RECOGNITION

Her extensive contributions to the scientific community have earned her numerous awards, including being named an IFSA Fellow and an honorary member of EUSFLAT. In 2012, she was the machine learning recipient of the 1st memorial Da Ruan award. These accolades reflect her esteemed status and the impact of her work globally.

🌍 IMPACT AND INFLUENCE

As an area editor for Soft Computing and a member of several prestigious editorial boards, Professor Perfilieva has influenced the direction of research in fuzzy systems. She has also served on machine learning Program Committees for leading international conferences, further amplifying her impact in the academic and research communities.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

With her innovations in fuzzy logic and mathematical modeling, Irina Perfilieva's work continues to shape future research. Her methods are widely accepted and applied, demonstrating a legacy of academic excellence and practical utility. Her ongoing exploration into data analysis and neural networks signifies her commitment to advancing knowledge in these critical areas.

NOTABLE PUBLICATIONS 

  • Title: "A critical analysis of the theoretical framework of the Extreme Learning Machine"
    Authors: Irina Perfilieva, NicolĂĄs Madrid, Manuel Ojeda-Aciego, Piotr Artiemjew, Agnieszka Niemczynowicz
    Journal: Neurocomputing
  • Title: "Extreme Learning Machine – A New Machine Learning Paradigm"
    Author: Irina Perfilieva
    Journal: Book Chapter (part of a book series, not a journal)
  • Title: "F-transform utility in the operational-matrix approach to the Volterra integral equation"
    Authors: Perfilieva, Irina; Ziari, Shokrollah; Nuraei, Rahele; Pham, Thi Minh Tam
    Journal: Fuzzy Sets and Systems
  • Title: "Generalized Fuzzy Transform and Non-Local Laplace Operator"
    Authors: Hana ZamecnÄąkova, Simone Cammarasana, Irina Perfilieva, Giuseppe Patane
    Journal: IEEE Transactions on Fuzzy Systems
  • Title: "Numerical solution of a new mathematical model for intravenous drug administration"
    Authors: Alijani, Zahra; Shiri, Babak; Perfilieva, Irina; Baleanu, Dumitru
    Journal: Evolutionary Intelligence

Prof . Balasubbareddy Mallala – Machine Learning – Best Researcher Award 

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Prof . Balasubbareddy Mallala - Machine Learning - Best Researcher Award 

Chaitanya Bharathi Institute of Technology, Hyderabad - India 

Author Profile

GOOGLE SCHOLAR 

🎓 Early academic pursuits

Dr. M. Balasubbareddy embarked on his academic journey with a strong foundation in electrical and electronics engineering, earning a b.e. degree with distinction. further advancing his expertise, he pursued an m.tech. in power systems, achieving first-class honors. his relentless pursuit of knowledge culminated in a ph.d. in electrical and electronics engineering, where he delved into cutting-edge research, laying the groundwork for a prolific career. his academic curiosity extended to post-doctoral studies, further cementing his reputation as a dedicated scholar.

💼 Professional endeavors

As a professor at chaitanya bharathi institute of technology (cbit), dr. balasubbareddy has dedicated over two decades to teaching and mentoring. since joining cbit in 2017, he has taken on diverse roles, including membership in the college academic committee, anti-ragging committee, and intellectual property rights cell. his leadership as a convener of the ethics committee and departmental research committee has significantly shaped institutional policies and academic growth. with a career spanning 22 years in teaching and 16 years in research, he remains a cornerstone of excellence in academia.

🔬 Contributions and research focus

Dr. Balasubbareddy's research focuses on power systems, power electronics, and soft computing techniques. his innovative work bridges theoretical advancements and practical applications, contributing to sustainable and efficient energy solutions. as an active researcher, he has guided numerous projects and students, fostering a culture of inquiry and innovation. his Machine Learning participation in various institutional committees ensures the integration of research-driven strategies into curriculum development and academic practices.

🏅 Accolades and recognition

Dr. Balasubbareddy has received numerous prestigious awards that underscore his excellence in teaching and research. notable accolades include the best researcher of the year award from Machine Learning jnt university, the national award for teaching excellence, and the dr. radhakrishna award for engineering college teachers. his achievements also include international recognition, such as the global eminent scientist award and best open source learner awards. these honors reflect his dedication to academic and research excellence over the years.

🌟 Impact and influence

Through his extensive teaching and mentorship, dr. balasubbareddy has influenced countless students and colleagues, fostering a legacy of innovation and excellence. his involvement in nba Machine Learning accreditation, institute innovation, and patenting committees has significantly enhanced the academic framework of cbit. his dedication to fostering interdisciplinary collaboration and industry partnerships exemplifies his commitment to advancing the field of electrical and electronics engineering.

🏛️ Legacy and future contributions

Dr. Balasubbareddy's enduring legacy is built on his passion for education, research, and innovation. his ongoing efforts to integrate cutting-edge research with practical applications continue to inspire the next generation of engineers and researchers. as a dedicated mentor, academic leader, and researcher, he envisions a future where his contributions to power systems and soft computing techniques pave the way for sustainable technological advancements.

Notable Publications 

  • Title: Multi-objective optimization in the presence of practical constraints using non-dominated sorting hybrid cuckoo search algorithm
    Authors: M. Balasubbareddy, S. Sivanagaraju, C. V. Suresh
    Journal: Engineering Science and Technology, an International Journal
  • Title: Multi-objective optimization in the presence of ramp-rate limits using non-dominated sorting hybrid fruit fly algorithm
    Authors: M. Balasubbareddy
    Journal: Ain Shams Engineering Journal
  • Title: Salp swarm algorithm for solving optimal power flow problem with thyristor-controlled series capacitor
    Authors: B. Mallala, D. Dwivedi
    Journal: Journal of Electronic Science and Technology
  • Title: Generation and utilization of electrical energy
    Authors: S. Sivanagaraju, M. B. Reddy, D. Srilatha
    Journal: Pearson Education India
  • Title: A non-dominated sorting hybrid cuckoo search algorithm for multi-objective optimization in the presence of FACTS devices
    Authors: M. Balasubbareddy, S. Sivanagaraju, C. Venkata Suresh
    Journal: Russian Electrical Engineering