Asmaa Seyam | Data Science | Best Researcher Award

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Mrs. Asmaa Seyam | Data Science | Best Researcher Award

Ph.D student, University of Wollongong, Australia

Asmaa Seyam is a seasoned computer engineering professional and educator with over a decade of academic and research experience. Her career spans institutions such as Zayed University and the Islamic University of Gaza, where she has significantly contributed to the fields of programming, networking, and system development. Asmaa is known for her dedication to excellence in teaching and her active involvement in curriculum development and academic leadership.

Profile

Scopus

🎓 Education

Asmaa earned her Master’s degree in Computer Engineering from Jordan University of Science and Technology (2009–2011), graduating with an excellent GPA of 89.4%. Her thesis focused on optimizing node placement for energy-efficient clustering in wireless sensor networks. She completed her Bachelor’s in Computer Engineering at the Islamic University of Gaza (2003–2008) with an outstanding GPA of 90.67%, showcasing her strong foundation with a SCADA project for power distribution.

💼 Professional Experience

Asmaa Seyam served as an Instructor at Zayed University in Abu Dhabi from 2012 to 2022, where she taught a range of IT and engineering courses such as Web Development, Programming, HCI, and Networking. She also worked as a Teaching Assistant at the Islamic University of Gaza and was a Network Trainer at the Ministry of Interiors, demonstrating hands-on expertise in server management, routing protocols, and system maintenance. Her roles were marked by leadership in academic planning, assessment design, student mentorship, and institutional service.

🔬 Research Interest

Her research interests lie in Internet of Things (IoT), Machine Learning, Artificial Intelligence, and Wireless Sensor Networks. She has published and presented in esteemed journals and international conferences, contributing to the evolution of smart and efficient network systems.

🏆 Awards and Honors

Asmaa’s achievements include the Zuhair Hijjawi Award for Scientific Research (2008), a DAAD Scholarship for her Master’s studies, and several institutional service recognitions including the IBM Artificial Intelligence Analyst Mastery Award (2019) and the Advance HE Fellowship (2022). She also earned two separate 5-Year Service Awards from Zayed University and CISCO Networking Academy.

📚 Publications

  1. Energy-Efficient Clustering Algorithm for Wireless Sensor Networks Using the Virtual Field Force
    Published in: 5th International Conference on New Technologies, Mobility and Security (NTMS), Istanbul, 2012.
    Cited by: 60+ articles
    📌 IEEE Xplore

  2. Energy-Efficient and Coverage-Aware Clustering in Wireless Sensor Networks
    Published in: Wireless Engineering and Technology, Vol. 3, No. 3, 2012, pp. 142–151.
    Cited by: 90+ articles
    📌 Scientific Research Publishing

  3. Characterizing Realistic Signature-based Intrusion Detection Benchmarks
    Published in: Proceedings of the 6th International Conference on Info Technology: IoT and Smart City, ACM, Hong Kong, 2018.
    Cited by: 20+ articles
    📌 ACM Digital Library

🏁 Conclusion

Asmaa Seyam is a highly qualified and accomplished educator and researcher whose background reflects a strong commitment to both teaching and scholarly work. Her technical breadth, early recognition in research, and academic contributions position her as a strong candidate for the Best Researcher Award. Strengthening her recent research portfolio and expanding her research leadership roles would further elevate her profile.

Mika Yasuoka | Computer | Best Researcher Award

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Dr. Mika Yasuoka | Computer | Best Researcher Award

Associate Professor, Roskilde University, Denmark

Dr. Mika Yasuoka Jensen 🇯🇵🇩🇰 is an Associate Professor of Sustainable Digitalization at Roskilde University, Denmark. With a multicultural background and deep expertise in computer science, informatics, and interaction design, she bridges Japanese, American, and Danish academic traditions. Passionate about co-creation, digital welfare, and Living Labs, Dr. Yasuoka leads global collaborations with universities, public institutions, and tech corporations to shape sustainable digital futures. Her leadership in participatory design, social innovation, and smart city initiatives has made her a prominent voice in advancing technology for societal benefit. 🌍💻

Profile

Google Scholar

Education 🎓

Dr. Yasuoka’s academic journey is a blend of prestigious institutions across three continents. She earned her Ph.D. in Computer Supported Cooperative Work from the IT University of Copenhagen, incorporating research at The University of Tokyo and Carnegie Mellon University. Prior to this, she completed an M.Sc. in Informatics from Kyoto University and a B.Sc. in Library and Information Science from Keio University. Her academic enrichment also includes an exchange program and visiting researcher positions at Carnegie Mellon University in the U.S. 🎓📘🌐

Experience 💼

Dr. Yasuoka’s professional path is marked by academic excellence and impactful leadership. Since 2020, she has been serving as Associate Professor at Roskilde University. She has held roles at institutions including the IT University of Copenhagen, Keio University, and Technical University of Denmark. She has led numerous cross-sectoral projects, blending stakeholder engagement and digital design across borders. Her strategic advisory roles include working with municipalities and government digital agencies in Japan. 🏫🌏👩‍🏫

Research Interest 🔍

Her core research focuses on sustainable digitalization, participatory design, Living Labs, and avatar-mediated communication. She investigates how digital technologies can be co-designed and responsibly integrated into societies to enhance well-being. With a special interest in smart cities, welfare technologies, and design frameworks, Dr. Yasuoka’s work aligns technology with human-centric values and social innovation. 🤖🏙️👥

Awards 🏆

Dr. Yasuoka has received multiple accolades for her innovative contributions. These include the 11th Nextcom Paper Award (2022) for advancing e-government strategy, the 12th KDDI Foundation Book Publishing Grant (2022), and a Best Paper Finalist at IEEE ARSO 2021. She also earned the Human Interface Society Award (2021) for her analysis of stakeholder involvement in welfare technology assessment. 🏆📚✨

Publications 📄

Key Practices for Welfare Robots Provision: Assessment Framework and Participation
Yasuoka, M., Akutsu, Y., Honma, K., & Matsumoto, Y.
IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), 2021.
🔗 IEEE Xplore Link
Cited by researchers in robotics and social care design.

How Remote-Controlled Avatars Are Accepted in Hybrid Workplace
Yasuoka, M., Miyata, T., Nakatani, M., Taoka, Y., & Hamaguchi, N.
In: Distributed, Ambient and Pervasive Interactions, Lecture Notes in Computer Science, vol. 14036, Springer, Cham, 2023.
🔗 Springer Link
Referenced in studies on telepresence and future work environments.

Not Just Power: Exploring Transitions as Fluidity and Relationality in Participatory Design
Yasuoka, M., & Kibi, Y.
Participatory Design Conference 2024, Vol. 2: Exploratory Papers and Workshops.
🔗 ACM Link
Cited in participatory design and relational theory literature.

Reflection on Digital Cities
Yasuoka, M., & Ishida, T.
In Oxford Research Encyclopedia of Communication, Oxford University Press, 2023.
Used in urban digital studies and smart city curricula.

Conclusion

Dr. Mika Yasuoka Jensen is highly suitable for the Best Researcher Award. Her cross-cultural expertise, commitment to societal impact through digitalization, leadership in international projects, and award-winning research achievements make her a standout candidate. Minor enhancements in research metrics and journal profile would further strengthen her already impressive credentials.

Fernando Bruno Dovichi Filho | Engineering | Best Researcher Award

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Prof. Fernando Bruno Dovichi Filho | Engineering | Best Researcher Award

Professor, UNIFEI/UFSCAR, Brazil

Fernando Bruno Dovichi Filho 🇧🇷 is a Brazilian Mechanical Engineer with a Ph.D. in Mechanical Engineering, specializing in energy systems, renewable energy, and thermal modeling. With a rich blend of academic and research experience, he is currently a Substitute Professor at the Federal Institute of São Paulo (IFSP – Piracicaba campus). His work focuses on computational modeling, biomass energy, and sustainability-driven technologies, actively contributing to Brazil’s bioenergy development. Fernando’s background includes hands-on research in high-precision machining, hybrid propulsion, and energy conversion systems.

Profile

Orcid

Education 🎓

Fernando completed his Ph.D. in Mechanical Engineering (2017–2022) at the Federal University of Itajubá (UNIFEI), where he analyzed the technical and economic potential of electricity generation from biomass in Minas Gerais 🌱⚡. He earned his Master’s degree (2013–2015) at the same institution, refining thermal property estimation methods. His Bachelor’s in Industrial Mechanical Engineering (2008–2012) from ETEP Faculdades included a project on optical glass machining 🔧📐, showcasing his early inclination toward precision engineering and energy systems.

Experience 💼

With teaching and research roles across premier institutions, Fernando’s career spans from academia to aerospace research. Currently a full-time Substitute Professor at IFSP – Piracicaba (2023–present), he develops curricula, teaches engineering courses, and guides research and extension projects 🧑‍🏫📊. He previously served as a Substitute Professor at IFMS in 2016. As a PBIC/CNPq Research Fellow, he contributed to advanced propulsion research at both IAE and IEAv from 2009 to 2012, specializing in hybrid rocket engines, high-voltage discharges, and detonation studies using NASA CEA software 🚀💻.

Research Interest 🔍

Fernando’s research integrates renewable energy, thermal systems, and decision-making methodologies. His main focus is on biomass-based electricity generation, thermophysical property modeling, and multi-criteria decision analysis (MCDA) with GIS integration 🌍🧪. He is also keen on advancing thermal estimation techniques, applying hybrid modeling tools like MATLAB and EES, and evaluating the technology readiness of green energy solutions in Brazil and globally.

Awards 🏆

Fernando’s research integrates renewable energy, thermal systems, and decision-making methodologies. His main focus is on biomass-based electricity generation, thermophysical property modeling, and multi-criteria decision analysis (MCDA) with GIS integration 🌍🧪. He is also keen on advancing thermal estimation techniques, applying hybrid modeling tools like MATLAB and EES, and evaluating the technology readiness of green energy solutions in Brazil and globally.

Publications 📄

📖 Evaluation of TRL for biomass electricity technologies, Journal of Cleaner Production, 2021
DOI Link – Cited in renewable energy feasibility studies worldwide.

📖 GIS-MCDM methodology for biomass selection, Agriculture, 2025
DOI Link – A key reference for geo-spatial biomass planning.

📖 An approach to technology selection, Energy, 2023
DOI Link – Cited in works addressing clean technology prioritization.

📘 Book Chapter: From Crops and Wastes to Bioenergy, Woodhead Publishing, 2025

Publisher Link – Cited by authors in sustainable agriculture and energy.

Conclusion

Based on his research achievements, publications, and experience, Fernando Bruno Dovichi Filho is a suitable candidate for the Best Researcher Award. His contributions to sustainable energy solutions and his expertise in thermal systems optimization and renewable energy systems demonstrate his potential to make a significant impact in the field. With some further emphasis on international collaborations and publishing in top-tier journals, he is well-positioned to continue making meaningful contributions to research.

Xukan Xu | Informatics | Best Researcher Award

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Prof. Dr. Xukan Xu | Informatics | Best Researcher Award

Professor, Business School, Hohai University, China 

Professor Xu Xukan is a renowned academic and researcher at Hohai University’s Business School, where he serves in the Department of Management Science and Information Management. 📊 He is also the Director of the Institute of Statistics and Data Research and leads the Key Laboratory of Industrial Big Data and Knowledge Management in Changzhou. 🌍 With an impactful career in intelligence analysis and emergency management, he contributes significantly to national and regional research innovation. A Jiangsu “Double Innovation” talent 🌟, Prof. Xu plays a vital role in multiple strategic collaborations and research centers across China.

Profile

Scopus

🎓 Education

Professor Xu Xukan pursued extensive academic training in the fields of management science and information systems. 📘 With a strong foundation in knowledge organization and emergency decision-making, his academic journey laid the groundwork for his ongoing research contributions in data analysis and management science. 🏫 As a doctoral supervisor, he actively mentors new generations of scholars in these evolving disciplines.

💼 Experience

With over a decade of academic leadership, Prof. Xu has led transformative research initiatives, guided national-level projects, and mentored numerous doctoral candidates. 🧠 His roles as director and project leader in multiple key labs and innovation centers reflect his extensive contributions to academia and government-backed research. He has also worked closely with industries in consulting roles, showcasing his capacity for practical implementation of academic insights. 🏢

🔍 Research Interests

Prof. Xu’s research spans knowledge organization, intelligence analysis, emergency management, water resource planning, and machine learning. 💡 His work focuses on enhancing decision-making processes for sudden events through multi-source data fusion and intelligent systems. 🌐 As a data-driven innovator, his interdisciplinary interests combine data mining, informatics, and environmental planning to deliver impactful outcomes.

🏆 Awards

As a recipient of the prestigious Jiangsu Province “Double Innovation” Talent recognition, Prof. Xu Xukan is celebrated for his groundbreaking contributions to emergency intelligence and data-driven knowledge systems. 🏅 His leadership in national research programs and patented innovations has garnered acclaim within academic and industry sectors alike. 🌟

📚 Publications

Risk identification of public opinion on social media: a new approach based on cross-spatial network analysis, The Electronic Library, 2024 — Cited by 5 articles

The urban rain-flood risk division based on the cloud model and the entropy evaluation method—Taking Changzhou as an example, Journal of Physics: Conference Series, 2019 — Cited by 3 articles

Research on Knowledge Organization Process Based on Knowledge Unit, 2015 — Cited by 2 articles

✅ Conclusion

Professor Xu Xukan is highly suitable for the Best Researcher Award. His leadership in data-driven decision-making research, contribution to emergency intelligence systems, and tangible industry impact firmly establish his standing. With slight improvements in global visibility and citation impact, his profile reflects the excellence and innovation the award aims to recognize. He stands out as a distinguished and forward-thinking researcher contributing to both academic knowledge and societal advancement.

Sarah Di Grande | Analytics | Best Researcher Award

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Ms. Sarah Di Grande | Analytics | Best Researcher Award

PhD student, University of Catania, Italy

Sarah Di Grande is a driven researcher and data scientist currently pursuing a PhD in Systems, Energy, Computer, and Telecommunications Engineering at the University of Catania, Italy. With expertise in machine learning and a focus on sustainable water-energy optimization, she has contributed extensively to data science applications in renewable energy and smart city initiatives.

Profile

Orcid

Education 🎓

Sarah completed a Master’s in Data Science for Management at the University of Catania in 2022, graduating summa cum laude with a thesis on unsupervised machine learning for photovoltaic systems. She also holds a Bachelor’s degree in Business Economics from the same institution and graduated from Liceo Megara with top honors in 2017. Her studies have centered on advanced machine learning, big data, and data security.

Experience 💼

Currently, Sarah is a PhD student and researcher at the University of Catania, working in collaboration with Darwin Technologies on machine learning-based water-energy optimization. She previously interned as a data scientist at BaxEnergy, where she applied predictive maintenance techniques for photovoltaic panels, gaining hands-on experience in industrial data science applications.

Research Interests 🔬

Her research is dedicated to leveraging artificial intelligence for sustainable energy systems, focusing on machine learning applications in hydropower forecasting, urban traffic prediction, and water distribution network optimization. Sarah’s work aims to enhance resource management and promote sustainability in smart cities.

Awards 🏆

Sarah has received recognition for her innovative contributions, winning the Start-Cup Sicilia 2023 for her work on the “Smart Knee Project,” a device aimed at diagnosing knee osteoarthritis. She also secured second place in the University of Catania’s Start-Cup competition for the same project.

Publications Top Notes📚

Sarah has contributed numerous papers to international conferences and journals, exploring AI in hydropower, water distribution, and urban traffic management. Some key publications include:

“A Proactive Approach for the Sustainable Management of Water Distribution Systems” (2023) in 12th International Conference on Data Science, Technology and Applications – DATA [cited by 10 articles].

“Detection and Prediction of Leakages in Water Distribution Networks” (2023) in DATA 2023 [cited by 7 articles]

“A Machine Learning Approach for Hydroelectric Power Forecasting” (2023) in 14th International Renewable Energy Congress – IREC [cited by 5 articles].

“Data Science for the Promotion of Sustainability in Smart Water Distribution Systems” (2024) in Communications in Computer and Information Science, Springer [cited by 12 articles].