Prof. Dr. Jasenka Gajdoő Kljusurić | Data Science and Deep Learning | Best Researcher Award

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Prof. Dr. Jasenka Gajdoő Kljusurić | Data Science and Deep Learning | Best Researcher Award

Prof, Faculty of Food Technology and Biotechnology at University of Zagreb, Croatia

Sylvain S. Guillou is a Full Professor of Fluid Mechanics at the University of Caen Normandy, France. He is the Director of the Applied Science Laboratory LUSAC and has over 176 publications, 38,900 reads, and 1,692 citations. His research focuses on computational physics, fluid dynamics, and geophysics, particularly in tidal turbines and marine renewable energies ΒΉ.

Profile

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πŸŽ“ Education

– *HDR – Fluid Mechanics*, University of Caen (2004-2005)- Ph.D. in Applied Mathematics – Mechanics, University of Paris Pierre & Marie Curie (1993-1996)- (link unavailable) in Dynamics of Fluids – Numerical Modeling, Ecole Centrale de Nantes (1992-1993)

πŸ‘¨β€πŸ”¬ Experience

– *Full Professor*, University of Caen Normandy (2017-present)- *Associate Professor*, University of Caen Normandy (2005-2017)- *Assistant Professor*, University of Caen Normandy (1999-2005)- *Post-doctoral Researcher*, University of Caen (1996-1997)

πŸ” Research Interest

– *Computational Physics*: Numerical simulations of complex fluid flows- *Fluid Dynamics*: Turbulence, sediment transport, and environmental fluid mechanics- *Geophysics*: Marine renewable energies, tidal turbines, and offshore wind energies

Awards and Honors πŸ†

Although specific awards and honors are not detailed, Guillou’s editorial roles and conference organization demonstrate his recognition in the field ΒΉ Β²: – *Associate Editor*, Energies, La Houille Blanche, and International Journal for Sediment Research- *Organizer*, International Conference on Estuaries and Coasts (ICEC-2018) and other conferences

πŸ“š PublicationsΒ 

– Numerical modeling of the effect of tidal stream turbines on the hydrodynamics and the sediment transport–Application to the Alderney Race (Raz Blanchard), France 🌊
– Modelling turbulence with an Actuator Disk representing a tidal turbine 🌟
– A two-phase numerical model for suspended-sediment transport in estuaries 🌴
– Wake field study of tidal turbines under realistic flow conditions πŸ’¨
– Tidal farm analysis using an analytical model for the flow velocity prediction in the wake of a tidal turbine with small diameter to depth ratio 🌊

Conclusion

Sylvain S. Guillou’s impressive research record, leadership roles, and editorial activities make him an excellent candidate for the Best Researcher Award. His contributions to computational physics, fluid dynamics, and geophysics have significantly advanced our understanding of these fields. With some potential for interdisciplinary collaborations and exploring emerging topics, Guillou is well-suited to receive this award ΒΉ Β².

Marwa Soliman | Big Data Systems | Best Researcher Award

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Ms. Marwa Soliman | Big Data Systems | Best Researcher Award

Senior Research Assistant, Burke Neurological Institute, United States

Marwa Soliman is a driven and accomplished individual pursuing her MCS in Computer Science (Big Data Systems) at Arizona State University. With a strong foundation in computer science and biology, she is passionate about applying her skills to make a positive impact in the field of neuroscience. 🧠

Profile

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Education πŸŽ“

Marwa Soliman is currently pursuing her Master of Computer Science in Big Data Systems at Arizona State University, anticipated to graduate in June 2025. She holds a Bachelor of Arts in Computer Science and Biology from Manhattanville University, graduating Summa Cum Laude with a GPA of 3.91/4.00. πŸ“š

Experience πŸ’Ό

Marwa Soliman has gained valuable experience as a Senior Research Assistant at the Burke Neurological Institute, Weill Cornell Medicine, since September 2020. She has also worked as a Summer Research Assistant at Manhattanville University and as a Supplemental Instructor and Academic Science and Math Tutor at various institutions. 🧬

Awards and Honors πŸ†

Marwa Soliman has received numerous awards and honors, including the Computer Science Department Honors Award, Biology Department Honors Award, Dr. Ruth Paula Alscher Award, Castle Pin Award, Tri-beta Biological Sciences Honors, and Junior Biology Department Award. πŸŽ‰

Research Focus πŸ”

Marwa Soliman’s research focus lies at the intersection of computer science and neuroscience. She is particularly interested in applying machine learning and data analysis techniques to better understand neurological disorders and develop novel treatments. Her current research involves analyzing high-dimensional biological datasets and developing tools for assessing motion function. 🧠

Publications

1. Analysis of High-Dimensional Biological Datasets using Machine Learning Techniques πŸ“Š
2. Development of a Synchronized Feedback System for Neural Activity and Behavior Analysis πŸ“ˆ
3. Automated Data Pipelines for RNA Sequencing Data Analysis πŸ“Š
4. Image Analysis and Machine Learning Techniques for Early Detection of Skin Cancer πŸ“Έ
5. Design and Implementation of a Deep-Learning Algorithm for Early Detection of Skin Cancer πŸ“Š

Conclusion

Marwa Soliman’s impressive educational background, extensive research experience, and technical expertise make her an outstanding candidate for the Best Researcher Award. While there are areas for improvement, her strengths and achievements demonstrate her dedication to advancing knowledge and making a positive impact in her field.