Prof . Balasubbareddy Mallala – Machine Learning – Best Researcher Award 

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

Dr. S. Gopal Krishna Patro – Machine Learning and Deep Learning – Best Researcher Award

Dr. S. Gopal Krishna Patro - Machine Learning and Deep Learning - Best Researcher Award

Woxsen University - India

Professional Profile

SCOPUS

ORCID

Early Academic Pursuits

Dr. S. Gopal Krishna Patro embarked on his academic journey with a focus on computer science and engineering. His dedication to education and research is evident from his extensive teaching experience, which began shortly after completing his advanced studies. His early academic pursuits laid a strong foundation in various aspects of computer science, particularly in automata theory, formal language, and neural networks.

Contributions and Research Focus

Dr. Patro's research and teaching interests span a wide range of topics within computer science. His undergraduate teaching interests include automata theory, formal language, and neural networks. For postgraduate students, he focuses on data mining, data warehousing, and machine learning, particularly recommender systems. His contributions to these fields involve both theoretical exploration and practical applications, Machine Learning and Deep Learning preparing students for both academic and industry careers.

Accolades and Recognition

Throughout his career, Dr. Patro has been recognized for his dedication to teaching and his contributions to academia. His administrative roles, including professor-in-charge of the exam section and coordinator positions, highlight his leadership abilities and commitment to improving Machine Learning and Deep Learning educational outcomes.

Impact and Influence

Dr. Patro's impact extends beyond the classroom. His involvement in placement coordination at GIET University helped bridge the gap between academia and industry, providing students with valuable career opportunities. His role in managing the exam section at K L Deemed to be Machine Learning and Deep Learning University ensured the smooth functioning of academic assessments, contributing to the overall academic integrity of the institution.

Legacy and Future Contributions

Dr. Patro continues to influence the field of computer science education through his teaching, administrative roles, and research. His legacy is marked by his commitment to student success and his efforts to enhance the academic and professional pathways for his students. As he continues his career at Woxsen University, his future contributions are anticipated to further advance the fields of data mining, machine learning, and neural networks, fostering innovation and excellence in computer science education.

NOTABLE PUBLICATIONS