Anastasia Soultati | Technological Networks | Research Excellence Award

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Dr. Anastasia Soultati | Technological Networks | Research Excellence Award

National Centre for Scientific Research (NCSR) “Demokritos” | Greece

Dr. Anastasia Soultati is an Associate Researcher specializing in perovskite, organic, and hybrid optoelectronic materials, with a strong focus on photovoltaic devices, neuromorphic components, and photonic applications. She is currently affiliated with the Department of Electrical and Computer Engineering at Hellenic Mediterranean University, Greece, and Ajman University, UAE. Her research spans bifacial and transparent perovskite photovoltaics for greenhouse and building integration, perovskite-based memristors for neuromorphic computing, and advanced perovskite laser devices. Dr. Soultati has extensive experience in project management, device fabrication, and materials characterization, including thin films, crystals, and photosensitive materials. She has led and contributed to multiple national and international research projects, supported by competitive personal funding and postdoctoral fellowships, addressing sustainable energy, green semiconductor processing, smart packaging, and climate-resilient materials.

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Featured Publications

Strain Relaxation and Multidentate Anchoring in n-type Perovskite Transistors and Logic Circuits
– Nature Electronics, 2024 · 25 Citations
Aggregation-Driven Photoinduced α-C(sp3)-H Bond Hydroxylation/C(sp3)-C(sp3) Coupling of Boron Dipyrromethene Dye in Water Reported by Near-Infrared Emission
– Journal of the American Chemical Society, 2024 · 3 Citations · Open Access
Plasmonic Enhanced OLED Efficiency upon Silver–Polyoxometalate Core-Shell Nanoparticle Integration into the Hole Injection/Transport Layer
– Scientific Reports, 2024 · 3 Citations
Highly Robust Double Memristive Device Based on Perovskite/Molybdenum Oxide-Sulfide Compound Heterojunction System
– Advanced Electronic Materials, 2025 · 1 Citation
Sulfur-Doped ZnO as Cathode Interlayer for Efficient Inverted Organic Solar Cells
– Materials, 2025 · 1 Citation

Peter Ikechukwu Nwaichi | Technological Innovation | Best Researcher Award

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Dr. Peter Ikechukwu Nwaichi | Technological Innovation | Best Researcher Award

University of Malaysia, Pahang | Malaysia

Dr. Peter Ikechukwu Nwaichi is an accomplished professional with an MSc in Safety, Health, and Environment from Universiti Teknologi Malaysia and a PhD (in view), bringing strong academic depth to his diverse technical expertise. His research interests span Risk Assessment and Risk Management, Oil Well Analysis, Data Analysis, and Waste Management, reflecting a commitment to advancing safety and operational efficiency within industrial environments. Dr. Nwaichi has gained extensive hands-on experience through his work with Weafri Well Services Company, where he contributed to cementing, pumping, corrosion control, and coiled tubing operations. He has also served in key roles at ACM of Nigeria as a Safety Officer, Material Coordinator, and Designer, demonstrating versatility and a strong track record in ensuring safe, efficient, and sustainable work processes across the energy and industrial sectors.

Profiles: Google Scholar

Featured Publications

"Numerical simulation of microbial biohydrogen production under high-pressure, high-temperature conditions for enhanced recovery from depleted reservoirs", D Abutu, PI Nwaichi, C Umunnawuike, F Nyah, B Money, HW Yussof, Petroleum Research, 2025

"Nanoparticles transport in porous media during EOR operations: A Wide-Ranging review of mechanisms, mathematical models, influencing parameters, challenges, and prospects", EN Ngouangna, IB Dzulkarnain, MZ Jaafar, JO Oseh, FA Afolabi, Arabian Journal for Science and Engineering, 2025.

"Biohydrogen production for sustainable energy transition: a bibliometric and systematic review of the reaction mechanisms, challenges, knowledge gaps and emerging trends", C Umunnawuike, SQA Mahat, PI Nwaichi, B Money, A Agi Biomass and bioenergy, 2024.

"Recent advances and prospects on retarder application in oilwell cement: A review", PI Nwaichi, N Ridzuan, EO Nwaichi, C Umunnawuike, A Agi Geoenergy Science and Engineering 241, 2024.

"Comprehensive review on the role of salinity on oil recovery mechanisms during chemical flooding", F Nyah, N Ridzuan, PI Nwaichi, C Umunnawuike, A Agi Journal of Molecular Liquids 415, 2024.

Farhad Hossain Sojib | Data Science | Best Researcher Award

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Mr. Farhad Hossain Sojib | Data Science | Best Researcher Award 

University of Hull | Bangladesh

Mr. Farhad Hossain Sojib is an engineer with a strong foundation in electronics and communication engineering and a growing specialization in data science and artificial intelligence. He is currently pursuing his M.Sc. in Artificial Intelligence and Data Science at the University of Hull, United Kingdom, following the completion of his B.Sc. in Engineering from Hajee Mohammad Danesh Science and Technology University, Bangladesh, where he conducted notable research on explainable AI in educational data mining and machine learning applications in 5G antenna optimization. With professional experience as an IELTS Instructor at Lexicon Plus, he has trained over 50 students, developed course materials, and mentored junior instructors. His leadership and organizational skills were further demonstrated through his role as a Program Committee Member at the IEEE Student Branch, HSTU, where he managed events, seminars, and competitions. Additionally, his internship at BRACNet Limited provided hands-on experience in ISP operations, ICT technologies, and server management. Farhad combines his technical expertise, research acumen, and collaborative mindset to contribute meaningfully to the fields of machine learning and data-driven innovation.

Profiles: Orcid 

Featured Publications

"The integration of explainable AI in Educational Data Mining for student academic performance prediction and support systems", Md. Mahmudul Islam; Farhad Hossain Sojib; Md. Fazle Hasan Mihad; Mahmudul Hasan; Mahfujur Rahman, Telematics and Informatics Reports, 2025.

"A Bioinformatics Approach to Uncover Hub Genes and Potential Drug Targets of Stroke, Heart-Disease, Hyperglycemia, and Hypertension", Md. Emran Biswas; M D. Fazle Hasan Mihad; Farhad Hossain Sojib; Mohammad Jubair Ahmmed; M D Galib Hasan; Md. Jobare Hossain; Md. Abul Basar; Md. Mehedi Islam; Md. Delowar Hossain; Md. Selim Hossain et al., 27th International Conference on Computer and Information Technology (ICCIT), 2024.

"An Explainable Educational Data Mining System for Predicting Student Academic Performance", Md. Mahmudul Islam; Farhad Hossain Sojib; Md. Fazle Hasan Mihad; Mahmudul Hasan; Mahfujur Rahman; FARHAD HOSSAIN SOJIB, 2024 IEEE International Conference on Signal Processing, Information, Communication and Systems, 2024.

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

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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.