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.

Donny W. Suh | AI | Best Researcher Award

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Prof Donny W. Suh | AI | Best Researcher Award

Professor, University of California at Irvine, United States  🩺

Donny W. Suh, M.D., FAAP, MBA, FACS, is a leading expert in pediatric ophthalmology and strabismus. Currently, he serves as a Professor and Chief of Pediatric Ophthalmology at the University of California, Irvine (UCI), and as a medical staff member at Children’s Hospital of Orange County (CHOC). With extensive global volunteer experience, he contributes to underserved regions through ORBIS Global Health Programs. Dr. Suh’s academic contributions span more than 100 articles in prestigious journals, and his leadership roles include serving on the Medical Advisory Committee for ORBIS and the American Academy of Ophthalmology.

Profile

Orcid

Education 🎓

Dr. Suh completed his Bachelor of Arts in Biochemistry from Rice University and earned his Medical Doctorate from Baylor College of Medicine in Houston, Texas. His training in pediatric ophthalmology and strabismus was undertaken at The Wilmer Eye Institute, Johns Hopkins University School of Medicine, following an ophthalmology residency at The Eye Institute, Medical College of Wisconsin. His diverse academic background and specialized education have shaped him into a highly regarded expert in the field.

Experience 💼

Dr. Suh has had a distinguished career, holding key roles in both academic and clinical settings. He is currently the Chief of Pediatric Ophthalmology at UCI, where he is also a faculty member, educating medical students and residents. Previously, he served as the Chief of Ophthalmology at Children’s Hospital of Omaha and held the John and Irene Graether Endowed Chair in Ophthalmology at the University of Nebraska Medical Center. His leadership in ophthalmology spans both medical practice and academic administration, including involvement in several national and international committees.

Research Interest 🔬

Dr. Suh’s primary research interests lie in pediatric eye diseases, particularly amblyopia, strabismus, and congenital cataracts. He is deeply involved in research through the Pediatric Eye Disease Investigation Group (PEDIG), supported by the National Eye Institute (NIH). His research endeavors also include patenting surgical equipment and medical devices, and he is a prominent figure in the development of pediatric ophthalmology guidelines. He actively collaborates with students and residents, contributing to multiple IRB-approved research projects.

Award 🏅

Dr. Suh’s contributions to the field of ophthalmology have earned him numerous prestigious awards, including being named “Best Doctor in America” and “America’s Top Ophthalmologist” since 2003. He was inducted into the American Ophthalmological Society (AOS) and received the “Inventor of the Year” award in 2019 from the University of Nebraska Medical Center. His exceptional service to the medical community, especially in pediatric ophthalmology, is widely recognized across global platforms.

Publication Top Notes 📚

Dr. Suh has published extensively in top journals. Here are some notable publications:

Myopia trends among children and adolescents: a nationwide study in South Korea
Journal of American Association for Pediatric Ophthalmology and Strabismus, 2024. DOI: 10.1016/j.jaapos.2024.103969

Epibulbar osseous choristoma: A case report
American Journal of Ophthalmology Case Reports, 2017. DOI: 10.1016/j.ajoc.2016.10.002

Conclusion

Dr. Donny W. Suh is a highly deserving candidate for the Best Researcher Award due to his remarkable contributions to pediatric ophthalmology, global health, and medical education. His extensive academic, clinical, and humanitarian work positions him as a leader in the field, and his ongoing research and innovations are driving advancements in pediatric eye care. While his work is already highly impactful, enhancing international collaborations and focusing on broader global health initiatives could further elevate his contributions. Dr. Suh’s leadership, expertise, and humanitarian efforts make him an outstanding candidate for this prestigious recognition.

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].