Tanyo Tanev | Machine Learning | Best Researcher Award

Mr. Tanyo Tanev | Machine Learning | Best Researcher Award

Technical University of Sofia | Bulgaria

Tanyo Tanev appears to be a highly suitable candidate for the Best Researcher Award. His exceptional blend of technical expertise, academic pursuit, and professional achievements in the renewable energy and electrical engineering domains clearly demonstrates research excellence and innovation. As a Ph.D. candidate at the Technical University of Sofia, he has published five scientific papers and is working on additional studies focused on photovoltaic (PV) power plants and the application of machine learning and deep learning models in energy systems-fields of growing global importance. Professionally, he has led the design and development of large-scale PV power plants worldwide, managing complex engineering, optimization, and data-driven simulation tasks. His strong background in Autocad, PVcase, PVsyst, Python, and AI frameworks like TensorFlow and Keras, combined with managerial experience and creative problem-solving, highlights his research-driven approach to technological advancement. Tanyo’s ability to merge academic knowledge with practical innovation, leadership in renewable energy projects, and continuous pursuit of scientific progress make him an outstanding contender for the Best Researcher Award.

Profiles: Scopus

Featured Publications

"Modeling of Battery Storage of Photovoltaic Power Plants Using Machine Learning Methods", T. Tanev and R. Stanev, Energies, 2025.

Dr. Priyadharshini Vadivel Muthurathinam | Information Technology | Best Researcher Award

Dr. Priyadharshini Vadivel Muthurathinam | Information Technology | Best Researcher Award

Dr. Priyadharshini Vadivel Muthurathinam , BIT Campus, India

Dr. V.M. Priyadharshini is a seasoned academician with over 20 years of experience in Information Technology 🎓💻. Currently serving as an Assistant Professor (Selection Grade) at AUBIT, she holds a Ph.D. in Information Technology and specializes in Social Network Analysis 🌐. Her contributions span across intelligent systems, geospatial applications, and privacy-preserving frameworks, reflecting her commitment to impactful, interdisciplinary research 🔍📊. With numerous publications in reputed international journals and conferences, she continuously explores innovative solutions for modern-day digital challenges 🚀📡. Dr. Priyadharshini also mentors budding researchers while actively contributing to technological advancement in academia 🧑‍🔬📚.

Professional Profile:

Orcid

Suitability Of Best Researcher Award

Dr. V.M. Priyadharshini is an exemplary candidate for the Best Researcher Award based on her outstanding academic contributions, interdisciplinary research, and commitment to addressing pressing digital challenges. With over two decades of experience in Information Technology, Dr. Priyadharshini has developed a strong academic and professional profile, which includes notable achievements in Social Network Analysis (SNA), geospatial data analysis, and privacy-preserving frameworks.

🎓 Education and Experience 

  • 🎓 B.Tech in Information Technology

  • 🎓 M.Tech in Information Technology

  • 🎓 Ph.D. in Information Technology

  • 🧑‍🏫 Assistant Professor (Selection Grade) – Department of IT, AUBIT

  • 🗓️ 20 Years of Professional Experience in academia and research

📈 Professional Development

Dr. Priyadharshini has consistently enhanced her academic and research profile through active participation in scholarly publications and technology forums 📘🧠. Her recent works in geospatial data analysis, machine learning, and spam detection in online networks exemplify her engagement with real-world challenges through a research lens 🌍🤖. She collaborates with peers across disciplines and contributes to conferences and workshops on privacy, cyber safety, and AI applications 🛡️🧑‍💼. By integrating teaching and research, she ensures students stay updated with emerging trends while fostering innovation in the field of information technology 🎯📡.

🔬 Research Focus Category

Dr. Priyadharshini’s primary research lies in Social Network Analysis (SNA) and its applications in cyber-security and intelligent systems 🌐🔐. Her work involves analyzing complex user behaviors, detecting malicious profiles, and safeguarding digital communication through adaptive frameworks 💬🧠. She also delves into machine learning, spam detection, and geospatial risk assessment, bringing a multi-disciplinary approach to digital and environmental data analytics 🌎📊. Through applied computational models, she seeks to solve pressing issues in privacy protection, digital pollution monitoring, and smart data processing, pushing the envelope in IT-enabled societal resilience 📡🧬.

🏆 Awards and Honors 

  • 🏅 Published in high-impact international journals such as ScienceDirect, Springer, and IOS Press

  • 📖 Recognized contributor to IEEE Conferences and Proceedings

  • 🌟 Reputed faculty at AUBIT with 20 years of teaching and research excellence

  • 🧪 Lead researcher in government-funded academic projects

Publication Top Notes:

Title: Adaptive Framework for Privacy Preserving in Online Social Networks
Journal: Wireless Personal Communications
Publication Date: December 20, 2021
DOI: 10.1007/s11277-021-08822-4
Authors: V. M. Priyadharshini, A. Valarmathi

🔍 Summary in Simple Terms:

This research addresses the growing concern of privacy in online social networks (OSNs) like Facebook, Twitter, and Instagram. The authors propose an adaptive privacy-preserving framework that helps users control how much and what kind of personal information is shared with others.