Nikolai Simonov | Artificial Intelligence | Best Researcher Award

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Dr. Nikolai Simonov | Artificial Intelligence | Best Researcher Award

Dr. Nikolai Simonov | Artificial Intelligence – Senior researcher at Valiev Institute of Physics and Technology, Russia

Dr. Nikolai Anatolievich Simonov is a distinguished senior scientist whose career reflects profound expertise in physics, mathematics, applied electromagnetics, and artificial intelligence. He has been instrumental in bridging fundamental science with advanced technologies, contributing to several internationally recognized institutions across Russia and South Korea. His interdisciplinary work ranges from microwave tomography and electromagnetic theory to cognitive modeling and neuromorphic system development. With over 80 publications and a widely cited body of work, he stands as a leading authority in modern radio-electronics and intelligent systems.

šŸŽ“Academic Profile

Orcid | Scopus | Google Scholar

šŸŽ“ Education

Dr. Simonov completed his Master of Science degree in 1978 from Moscow State University, Faculty of Physics, with a specialization in radio-physics. He subsequently earned a Ph.D. in Physics and Mathematics in 1986 from the same university, focusing on radio-physics and radio-electronics. His academic training laid a robust theoretical foundation that continues to guide his scientific innovations today.

šŸ’¼ Experience

His career trajectory began in 1978 as an Engineer-Physicist at the Scientific and Research Institute of Radio Engineering in Moscow. He advanced to senior scientific roles at Scientific and Industrial Company Vzlet, Research and Development Company Modus, and the Institute of Theoretical and Applied Electromagnetism (ITAE), part of the Russian Academy of Sciences. Internationally, he held leadership roles in South Korea, including positions at Credipass Co., Ceyon Technology Co., the Electronics and Telecommunications Research Institute (ETRI), and Yonsei University. Currently, he serves as a Senior Scientist at NRC “Kurchatov Institute” ā€“ Valiev IPT, continuing his pioneering research in AI-driven semantic modeling and electromagnetic theory.

šŸ”¬ Research Interest

Dr. Simonovā€™s early research revolved around applied electromagnetics, radio-frequency imaging, and microwave scattering. Over time, he expanded into millimeter-wave measurements and developed high-resolution microwave tomography systems with biomedical applications. His recent focus includes the conceptualization of a novel ā€œModel of Spotsā€ for mental imagery representationā€”an approach that blends cognitive psychology, mathematical modeling, and artificial intelligence to support neuromorphic system development. He actively explores mathematical foundations for AI semantic structures and inverse problem-solving in sensor systems.

šŸ… Award

In recognition of his scientific excellence, Dr. Simonov was honored with the IEEE Antennas and Propagation Society’s Piergiorgio L. E. Uslenghi Letters Prize Paper Award in 2020. This prestigious international award was granted for his innovative research on human-body electromagnetic scattering models, underscoring his impact in both theoretical and applied electromagnetic science.

šŸ“š Selected Publications

šŸ“” ā€œMethod for Scattering of Electromagnetic Waves from the Human Body…ā€ IEEE Antennas and Wireless Propagation Letters, 2019 ā€“ Cited in clinical and wearable device research.
šŸ§  ā€œSpots Concept for Problems of Artificial Intelligence…ā€ Russian Microelectronics, 2020 ā€“ Influential in neuromorphic system modeling.
šŸ§¬ ā€œAdvanced Fast 3D Electromagnetic Solver for Microwave Tomography Imagingā€ IEEE Transactions on Medical Imaging, 2017 ā€“ Widely cited for algorithmic advancement in medical diagnostics.
šŸ§² ā€œOvercoming Insufficient Microwave Scattering Data in Microwave Tomographic Imagingā€ IEEE Access, 2021 ā€“ Applied in imaging systems where data resolution is limited.
šŸ’” ā€œApplication of the Model of Spots for Inverse Problemsā€ Sensors, 2023 ā€“ Bridging cognitive modeling with AI-driven sensor development.
šŸ§˜ ā€œMental Imagery Representation by Model of Spots in Psychologyā€ Natural Systems of Mind, 2023 ā€“ Cited in cognitive neuroscience and AI literature.
šŸ¤– ā€œDevelopment of an Apparatus of Imaginative Information Representation for Neuromorphic Devicesā€ Russian Microelectronics, 2024 ā€“ Gaining attention in the neuromorphic computing community.

šŸ§¾ Conclusion

Dr. Nikolai Simonovā€™s scientific journey is marked by persistent curiosity, interdisciplinary mastery, and a passion for innovation. From foundational electromagnetic theory to AI-inspired cognitive modeling, his research contributions continue to shape modern science and technology. His award-winning publications, global research engagements, and visionary approach to complex problems make him a compelling and deserving nominee for the Best Researcher Award. His ongoing work not only pushes the boundaries of scientific understanding but also opens transformative pathways for the future of intelligent systems.

Kalpana Ponugoti | Machine Learning | Best Researcher Award

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Dr. Kalpana Ponugoti | Machine Learning | Best Researcher Award

Assistant ProfessorĀ  | AVN Institute of Engineering and Technology | IndiaĀ 

Short Biography

Dr. Kalpana Ponugoti is an accomplished academic with a strong focus on Computer Science and Engineering, specializing in cutting-edge technologies like Artificial Intelligence and Machine Learning. Currently serving as an Assistant Professor at AVN Institute of Engineering and Technology, she brings over 8 years of teaching experience and expertise in curriculum development, along with significant contributions as an industry professional and researcher in Salesforce development.

Profile

ORCID

Education

Dr. Kalpana completed her Ph.D. in Computer Science and Engineering from VELS University (VISTAS), Chennai, anticipated in May 2024. Prior to this, she earned her M.Tech in Computer Science from BKBG Institute of Technology and her B.Tech in Information Technology from Jawaharlal Nehru Institute of Technology, both affiliated with JNTU-Hyderabad.

Experience

Her academic journey includes roles at prestigious institutions such as TKR Engineering College, Vignan Institute of Technology and Science, and Sreyas Institute of Engineering & Technology. She currently holds the position of Assistant Professor at AVN Institute of Engineering and Technology, where she actively contributes to research and academic advancements in the field of Computer Science.

Research Interests

Dr. Kalpana’s research interests are centered around Artificial Intelligence, particularly in the application of machine learning techniques to solve real-world problems. Her recent work focuses on developing innovative solutions for plant disease recognition and classification using advanced deep learning models.

Awards

She has been recognized for her scholarly contributions with several publications in reputed journals and conferences, including SCI-indexed and Scopus-indexed papers. Her dedication to academic excellence and research innovation has earned her acclaim in the scientific community.

Publications

Dr. Kalpana has authored numerous impactful publications, including:

  • “Plant disease recognition using residual convolutional enlightened Swin transformer networks”, published in Scientific Reports, 2024.
  • “A capsule attention network for plant disease classification”, published in Traitement du Signal, 2023.
  • “FLY-CAPS- A Hybrid Firefly Feature Optimized Capsule Networks for Plant Disease Classification in Resource Constraint Internet of Things (IoT)”, published in International Journal on Recent and Innovation Trends in Computing and Communication, 2023.
  • Several other contributions in conference proceedings and UGC Care-listed journals, contributing significantly to the fields of IoT, deep learning, and computer vision.