Tanyo Tanev | Machine Learning | Best Researcher Award

Published on by Network Science

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.

Ivan Beloev | Energy Efficiency | Top Researcher Award

Published on by Network Science

Prof. Ivan Beloev | Energy Efficiency | Top Researcher Award

University of Ruse "Angel Kunchev" | Bulgaria

Prof. Ivan Beloev is a distinguished academic and researcher in the field of transport technology and management, currently serving as the Head of the Center for Continuing Education and the Head of the Department of Transport at Ruse “Angel Kanchev” University, where he is also a Professor in Technology and Transport Management. His professional journey at the same institution spans over a decade, beginning as an Assistant in 2014 and progressing through roles as Assistant Professor, Associate Professor, and Professor. Prof. Beloev holds a Ph.D. in Transport, Shipping, and Aviation (2014–2015), with a dissertation focused on developing and researching modular systems for combined energy supply and emission monitoring in road transport. He also earned his Master’s and Bachelor’s degrees in Technology and Management of Transport from Ruse “Angel Kanchev” University. An active contributor to numerous national and international research and educational projects, his work includes initiatives under the Operational Program “Science and Education for Smart Growth” and national programs such as “Low-Carbon Energy for Transport and Household” and “Intelligent Livestock Breeding.” Prof. Beloev has led and participated in projects on multimodal transport technologies, driver training simulators, and digitalization in urban transport systems. His scholarly contributions include co-authoring the monograph Modelling of the Interaction of the Different Vehicles and Various Transport Modes: The Danube River, Multimodality and Intermodality (Springer, 2019), reflecting his commitment to advancing sustainable and intelligent transport systems.

Profiles: Google Scholar

Featured Publications

"Natural and Waste Materials for Desulfurization of Gaseous Fuels and Petroleum Products.  Fuels, I Iliev, A Filimonova, A Chichirov, A Vlasova, R Kamalieva, I Beloev, 2025"

"Modeling of Measuring Transducers for Relay Protection Systems of Electrical Installations, I Iliev, A Kryukov, K Suslov, N Kodolov, A Kryukov, I Beloev, Y Valeeva, 2025"

"Approach to Optimising and managing warehouse stocks in a car service. Baltic Journal of Economic Studies, I Beloev, D Grozev, 2025"

"Investigation in energy parameters of process of compacted soil transportation by flexible sectional screw conveyor, 24th International Scientific Conference, V Bulgakov, O Glazunova, O Trokhaniak, A Almeida, A Rucins, A Aboltins, 2025"

"Development of a Hybrid Expert Diagnostic System for Power Transformers Based on the Integration of Computational and Measurement Complexes, Energies, I Beloev, ME Alpatov, MS Garifullin, IF Galiev, SF Rakhmankulov, I Iliev, 2025"

Ghalia Nassreddine | Renewable System | Best Paper Award

Published on by Network Science

Dr. Ghalia Nassreddine | Renewable System | Best Paper Award

Rafik Hariri University | Lebanon

Author Profile

Scopus

Orcid ID

Google Scholar

Early Academic Pursuits

Dr. Ghalia Nassreddine began her academic journey with a profound interest in Information Technology and Systems, a foundation that would later become the bedrock of her career. Demonstrating a passion for innovation and education, she embarked on her teaching profession over 14 years ago in Lebanon, committing herself to both pedagogy and research. Her early academic orientation laid the groundwork for a career that seamlessly blended technological advancement with academic excellence.

Professional Endeavors

Dr. Nassreddine’s professional trajectory is marked by progressive academic leadership and extensive teaching experience. Currently serving as an Associate Professor at Rafik Hariri University, she actively contributes to curriculum development, student mentoring, and collaborative research initiatives. She also leads senior project supervision in collaboration with the University of Wollongong in Dubai. Previously, she was the Head of the Business Computing Department at Jinan University, where she spearheaded faculty management, academic programming, and research mentorship for both undergraduate and postgraduate students. Her earlier role at the Lebanese International University (LIU) as an Assistant Professor in Computer Science saw her coordinating and standardizing instructional strategies and assessments.

Contributions and Research Focus

Dr. Nassreddine has contributed extensively to interdisciplinary fields through both applied and theoretical research. Her primary research interests include machine learning, deep learning, data science, and their real-world applications in business analytics, power systems, healthcare, and intelligent transportation systems. She has delivered hands-on workshops and seminars on critical topics such as artificial intelligence, data visualization, Python programming, blockchain technology, and image processing—demonstrating a commitment to practical and accessible learning.

Impact and Influence

Her academic influence extends across multiple domains. Through workshops like Introduction to AI using Python and Data Science Hands-On Labs, she has empowered students and professionals alike with crucial digital skills. As a mentor and project supervisor, she has nurtured numerous student research works, including PhD and master’s theses. Her leadership in curriculum enhancement and ABET accreditation at Rafik Hariri University further underscores her impact on institutional growth. Her scholarly efforts have played a pivotal role in aligning IT education with evolving industry demands and societal challenges.

Academic Citations and Publications

Dr. Nassreddine is a prolific author and collaborator, having contributed to over a dozen book chapters, numerous peer-reviewed journal articles, and conference papers. Her book chapters published with Springer Nature, CRC Press, and IGI Global cover a wide spectrum, including AI in navigation systems, blockchain in healthcare, and IoT in transportation and energy systems. Notable journal publications include works on e-learning evaluation, network attack detection, credit card fraud detection, and solar photovoltaic power prediction. Her research has appeared in respected journals such as the International Journal of Electrical and Computer Engineering, Journal of Techniques, and NTU Journal of Engineering and Technology.

Legacy and Future Contributions

Looking ahead, Dr. Nassreddine is poised to continue her contribution to transformative technological and educational innovations. Her accepted papers in high-impact international conferences, such as the 9th International Conference on Information System Design and Intelligent Applications (ISDIA 2025) and the 5th International Conference on Electrical and Electronics Engineering in Australia, signal her sustained global engagement. Her work in Alzheimer’s detection using deep learning and Generative AI’s effect on student learning outcomes reflects her intent to influence both technology and pedagogy on a global scale. Dr. Nassreddine’s legacy is one of thought leadership, research excellence, and academic mentorship, shaping the future of intelligent systems and ethical AI integration.

Other Noteworthy Highlights

  • Workshops Delivered: Covering AI, Python programming, and data science across academic institutions in Lebanon.

  • Seminar Engagements: On blockchain, e-learning, and AI applications in renewable systems.

  • Technical Proficiency: Skilled in Python, Java, and advanced analytical tools to support her research and teaching.

  • Interdisciplinary Collaboration: Regularly partners with experts in healthcare, transportation, and renewable energy for co-authored publications.

Conclusion

Dr. Ghalia Nassreddine exemplifies the synergy between academic excellence and applied innovation. Her work stands at the crossroads of technology, education, and societal impact, addressing contemporary challenges through machine learning, deep learning, and digital transformation. Whether through her classroom, publications, or international engagements, she continues to shape future technologists and researchers with unwavering commitment and vision.

Notable Publications

"An Approach for Detecting Alzheimer's Disease Using Deep Learning Techniques" 

  • Author: Amal ElArid; Ghalia Nassreddine; Mohamad Nassereddine; Obada Al-Khatib
  • Journal: Communications in Computer and Information Science
  • Year: 2025

"Enhancing the Efficacy of Short-Term Prediction Models for Solar Photovoltaic Systems: An Influence Examination of Chronological and Meteorological Factors" 

  • Author: Ghalia Nassreddine; Amal El Arid; Mohamad Nassereddine; Obada Al-Khatib; Anas Arram; Abir El Abed
  • Journal: IEEE Access
  • Year: 2025

"The Performance Effect of Seasonality Feature in Solar Photovoltaic Power Prediction Using Machine Learning" 

  • Author: Ghalia Nassreddine; Amal El Arid; Mohamad Nassereddine; Eva Barbulescu; Habiba Ahmed
  • Journal: Book chapter
  • Year: 2025

"Explainable and Optuna-Optimized Machine Learning for Battery Thermal Runaway Prediction Under Class Imbalance Conditions" 

  • Author: Abir El Abed; Ghalia Nassreddine; Obada Al-Khatib; Mohamad Nassereddine; Ali Hellany
  • Journal: Thermo
  • Year: 2025

"The Role of Information Technology IT Management in the Quality of Distance Education: An Applied Study on North Lebanese Technical Institutes" 

  • Author: Mazen Massoud; Ghalia Nassreddine
  • Journal: Journal of Computer Science and Technology Studies
  • Year: 2025

 

MD Tanvir Rahman | Renewable energy | Best Researcher Award

Published on by Network Science

Mr. MD Tanvir Rahman | Renewable energy | Best Researcher Award

MD Tanvir Rahman, American International University – Bangladesh, Bangladesh

🎓 Md Tanvir Rahman is a dynamic Electrical and Electronic Engineering graduate from AIUB, Bangladesh 🇧🇩, with a stellar academic record and a passion for innovation in renewable energy ⚡, VLSI design 💻, and embedded systems 🤖. With hands-on experience in FPGA programming, sensor integration, and power systems, he has led impactful student initiatives, authored numerous publications 📚, and presented at international conferences 🌍. His vision blends technology and sustainability 🌱, making him a rising star in green engineering and smart solutions. A natural leader and lifelong learner 🌟, Tanvir is committed to shaping a smarter, cleaner future through research and development. 🔬

Professional Profile:

Scopus

Suitability For Best Researcher Award

Md Tanvir Rahman is a highly suitable candidate for the Best Researcher Award due to his remarkable academic achievements, innovative research contributions, and leadership in the field of Electrical and Electronic Engineering. His expertise spans renewable energy, VLSI design, smart grid technology, and embedded systems, positioning him as a promising researcher and future leader in green engineering and sustainable technology.

🔹 Education & Experience 

🎓 Education:

  • 🧠 B.Sc in EEE – AIUB (2025) | CGPA: 3.93 ⭐

  • ⚙️ Diploma in Mechatronics Engineering – Magura Polytechnic Institute (2020) | CGPA: 3.77

  • 📘 SSC in Science – Bheramara Pilot High School (2015) | CGPA: 4.39

💼 Experience:

  • 🚧 Internship: Energypac Power Generation PLC (Diesel Generator & ATS), Feb 2025

  • 🦺 Safety Training: Samsung C&T Safety Academy

  • 📢 Team Lead: IEEE AIUB Student Branch (Mar 2022 – Sept 2023)

🔹 Professional Development

🌱 Tanvir Rahman has actively pursued professional growth through internships, workshops, and leadership roles. His technical exposure spans Arduino programming 🤖, VLSI design using Cadence 🧩, and IoT integration for real-world solutions 🌐. As team lead of IEEE AIUB Student Branch, he orchestrated large-scale events, fostering academic-industry collaboration 🤝. Tanvir has completed training in AI 🤖, nanotechnology 🧪, and safety protocols 🚧, showcasing his well-rounded skill set. His passion for sustainable technology, teamwork, and public speaking 🎤 has helped him build a solid foundation in both technical and leadership domains. He continues to explore new tools and ideas to stay future-ready 🚀.

🔹 Research Focus Category 

🔬 Tanvir Rahman’s research focus lies in Renewable Energy Systems 🌞, Smart Grid Technology ⚡, and VLSI-based Digital Design 💻. His projects explore underwater robotics 🤿, wireless power transmission 🔋, and intelligent automation systems using sensors and microcontrollers 🧠. He integrates AI 🧠 and fuzzy logic into power systems for better voltage regulation and environmental sustainability 🌍. His current capstone research on Unmanned Underwater Vehicles 🌊 merges object detection, 3D mapping, and ecological monitoring. His work reflects a drive to blend hardware-software systems with smart, energy-efficient solutions 🔧, contributing toward greener, smarter infrastructures 🌱.

🔹 Awards and Honors

🏆 Awards & Honors:

  • 🥇 Best Paper Award – Bio Web Conference & ICREST 2025

  • 🌐 International Conference Presenter – Recognized for communication excellence

  • 🧑‍💼 Leadership & Mentorship – IEEE AIUB Student Branch, Team Lead

  • 🧠 Published 22+ Conference Papers in Renewable Energy & Power Systems

  • 🥈 High CGPA Holder – AIUB & Diploma Level

  • 🤝 Secured Sponsorships & Collaborations – IEEE AIUB Events

Publication Top Notes:

Title: Perspectives and Pathways to a Carbon-free Advanced Power Network (CAPN) in Bangladesh for Sustainable Development
Journal: Cleaner Energy Systems
Publication Year: 2025
Authors: A. Shufian, M. Tanvir Rahman, S.K. Shib, N. Mohammad, M.A. Mannan

🔍 Summary in Simple Terms:

This article explores sustainable energy solutions for Bangladesh, specifically focusing on developing a Carbon-free Advanced Power Network (CAPN). The goal is to transition towards clean energy and reduce carbon emissions, which are crucial for tackling climate change and ensuring a sustainable future.

Conclusion:

Md Tanvir Rahman is a highly deserving candidate for the Best Researcher Award. His contributions to renewable energy systems and smart grid technology, combined with his leadership role in IEEE AIUB and his innovative research on underwater robotics, showcase his dedication to both technological innovation and sustainability. Tanvir’s commitment to blending hardware and software solutions to create smarter, greener infrastructures makes him a promising researcher, poised to make significant contributions in the years to come.