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

Prof. Dr. Manuel Mazzara – Artificial Intelligence – Best Researcher Award

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Prof. Dr. Manuel Mazzara - Artificial Intelligence - Best Researcher Award

Innopolis University - Russia 

Author Profile 

SCOPUS 

ORCID 

Early academic pursuits 🎓

Manuel Mazzara began his academic journey with a strong focus on software engineering, specializing in formal methods and their application to building reliable software. His academic endeavors shaped his expertise in understanding the theoretical foundations of software engineering and its practical deployment in critical sectors such as automotive, transportation, and aerospace industries. This educational background laid the groundwork for his research in the intersection of theory and practice in software engineering.

Professional endeavors 🏢

Professor Mazzara has had a distinguished career spanning over a decade at Innopolis University in Russia, where he currently holds multiple leadership roles. As the Dean of the university since September 2023, he oversees academic strategies and programs. Additionally, he serves as a full professor and head of various departments, including the Master of Science in Information Technology – Software Engineering program. His extensive experience also includes his position as Vice Dean for International Relations, where he strengthens global academic ties. Over the years, he has been instrumental in driving forward research in software resilience and concurrency.

Contributions and research focus 🔬

Mazzara’s research lies at the heart of software engineering, particularly focusing on formal methods to ensure the development of reliable software systems. His team has contributed to the development of theories, tools, and frameworks that address both the process and product sides of software engineering. Key areas of his research include concurrency, formalization of Artificial Intelligence software processes, and the application of formal methods to safety-critical systems. Mazzara's work is particularly impactful in sectors where failure could have catastrophic consequences, such as the automotive and aerospace industries.

Accolades and recognition 🏅

Professor Mazzara’s work has been recognized both within the academic community and industry. His contributions to the application of formal techniques in software engineering have Artificial Intelligence positioned him as a leader in his field. As a professor and researcher, Mazzara has published numerous works, garnering significant attention for his research in formal methods and software resilience. His work in coordinating complex systems has earned him a reputation for addressing the most challenging aspects of software engineering.

Impact and influence 🌍

Mazzara's work has a profound impact on the software engineering industry, particularly in the development of complex, concurrent systems. His contributions to the resilience of software Artificial Intelligence have made it possible to create more reliable systems in high-stakes industries where safety is paramount. By applying formal methods, he has helped shape the way critical software systems are developed, reducing the risks associated with system failures. His influence extends beyond academia, with his research directly impacting industries that rely on advanced software systems for their operations.

Legacy and future contributions 🔮

Professor Mazzara’s legacy will be defined by his dedication to improving the reliability and resilience of software systems. His work on the formalization of software engineering processes and the deployment of formal methods in industry will continue to shape the field for years to come. As he looks toward the future, Mazzara’s research promises to address the evolving challenges of software concurrency and resilience, ensuring that the next generation of software engineers is equipped with the tools and knowledge necessary to tackle the growing complexity of modern systems.

Notable Publications 

  • Title: Configuration Sets with Nonempty Interior
    Author(s): Greenleaf, A.; Iosevich, A.; Taylor, K.
    Journal: Journal of Geometric Analysis
  • Title: Embedding Distance Graphs in Finite Field Vector Spaces
    Author(s): Iosevich, A.; Parshall, H.
    Journal: Journal of the Korean Mathematical Society
  • Title: Equilateral Triangles in Subsets of ℝᵈ of Large Hausdorff Dimension
    Author(s): Iosevich, A.; Liu, B.
    Journal: Israel Journal of Mathematics
  • Title: Falconer’s Conjecture?
    Author(s): Iosevich, A.
    Journal: Notices of the American Mathematical Society
  • Title: Finite Trees Inside Thin Subsets of ℝᵈ
    Author(s): Iosevich, A.; Taylor, K.
    Journal: Springer Proceedings in Mathematics and Statistics

Assist Prof Dr. Surachate Kalasin –  Artificial intelligence and machine learning – Excellence in Scientific Innovation Award

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Assist Prof Dr. Surachate Kalasin -  Artificial intelligence and machine learning - Excellence in Scientific Innovation Award

King Mongkut's University of Thonburi - Thailand

Author profile

SCOPUS

🌱 Early academic pursuits

Surachate Kalasin embarked on his academic journey with a strong foundation in physics and applied mathematics at worcester polytechnic institute, massachusetts, where he earned dual bachelor of science degrees with honors. his passion for interdisciplinary studies led him to further his education at the university of massachusetts amherst, where he pursued dual master’s degrees in physics and electrical and computer engineering. his academic excellence and curiosity culminated in a doctorate in chemical physics from the same institution, where he developed a deep expertise in polymer science.

🧑‍🔬 Professional endeavors

following his doctoral studies, dr. kalasin advanced his research career as a postdoctoral fellow in the department of polymer science and engineering at the university of massachusetts amherst. his work during this period focused on cutting-edge research in surface analysis, polymer rheology, and the development of specialty polymers for sensing and adhesion. his multidisciplinary approach bridged the fields of physics, chemistry, and engineering, positioning him as a leading figure in the development of innovative materials and technologies.

🔬 Contributions and research focus

dr. kalasin has made significant contributions to the field of material science, particularly in the areas of polymer chemistry and surface Artificial intelligence and machine learning technology. his research includes the creation of biomimetic surfaces that replicate the complex landscapes of biological cells, with applications in biomedicine and biomaterials. he has also designed biocompatible polymer surfaces for antimicrobial devices, advancing the field of biomedical engineering. his expertise in modeling molecular interactions at the nanoscale has been pivotal in the development of new materials for coating, cleaning, and microfluidic applications.

🏅 Accolades and recognition

throughout his career, dr. kalasin has been recognized for his innovative contributions to material science and engineering. his work has led to the development of intellectual property assets, reflecting his ability to translate research into practical, impactful technologies. his Artificial intelligence and machine learning interdisciplinary research approach has earned him accolades from academic and industrial communities, solidifying his reputation as a leader in his field.

🌍 Impact and influence

dr. kalasin’s work has had a profound impact on both the scientific community and industry. his innovations in polymer science and surface Artificial intelligence and machine learning technology have paved the way for new applications in healthcare, particularly in the development of antimicrobial devices and biomaterials. his research has also influenced the field of environmental engineering, where his work on fluid mechanics and surface technology has contributed to more efficient and sustainable solutions.

🏛️ Legacy and future contributions

as dr. kalasin continues his research, his legacy in the field of material science is marked by his commitment to interdisciplinary innovation and practical applications. his future work is expected to further bridge the gap between scientific research and real-world solutions, particularly in the development of new materials and technologies that address global challenges. his ongoing contributions will undoubtedly continue to shape the future of material science and engineering.

Notable  Publications 

Mesoporous Silica Nanoparticles-Enhanced Microarray Technology for Highly 2024(3)

Multiplex Wearable Electrochemical Sensors Fabricated from Sodiated Polymers 2023(6)

Challenges of Emerging Wearable Sensors for Remote Monitoring toward Telemedicine 2023(26)

Highly sensitive and selective antibody microarrays based on a Cy5-antibody complexes 2022(4)

Intelligent Wearable Sensors Interconnected with Advanced Wound Dressing Bandages 2022(29)