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

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Prof. Dr. Jasenka Gajdoš 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 ¹.

Profile

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🎓 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)

👨‍🔬 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)

🔍 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 🏆

Although specific awards and honors are not detailed, Guillou’s editorial roles and conference organization demonstrate his recognition in the field ¹ ²: – *Associate Editor*, Energies, La Houille Blanche, and International Journal for Sediment Research- *Organizer*, International Conference on Estuaries and Coasts (ICEC-2018) and other conferences

📚 Publications 

– 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 💨
– 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 ¹ ².

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 🎓

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. 📚

Experience 💼

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 🏆

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. 🎉

Research Focus 🔍

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 📊
2. Development of a Synchronized Feedback System for Neural Activity and Behavior Analysis 📈
3. Automated Data Pipelines for RNA Sequencing Data Analysis 📊
4. Image Analysis and Machine Learning Techniques for Early Detection of Skin Cancer 📸
5. Design and Implementation of a Deep-Learning Algorithm for Early Detection of Skin Cancer 📊

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.

Mr. Sari Mohan Das | Information Security | Best Researcher Award

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Mr. Sari Mohan Das | Information Security | Best Researcher Award

Mr. Sari Mohan Das, YSR ENGINEERING COLLEGE OF YOGIVEMANA UNIVERSITY, INDIA

Mr. Sari Mohan Das is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

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Education Summary

Registered for Part-time Ph.D. at Yogivemana University, Kadapa in 2020.Completed M.Tech with Distinction (75%) at R.G.M.C.E.T, Nandyal.Completed B.Tech (59.2%) at R.G.M.C.E.T. Nandyal.

Professional Development

NITTTR Modules: 1 and 2Professional Memberships: IEEE, IETEWorkshops Attended: 06Six Week Online Summer Internship: 01Quality Improvement Programmes Attended: 01 (Conducted by National Institute of Technical Teachers Training & Research, Chennai from 10-06-2016 to 12-06-2016)ATAL FDPs: 05NPTEL Certificates: 04

Notable Participation 📡

Faculty Training Program on Industry 4.0 organized by IEEE India Council (April 2-3, 2022, online) 📡Hands-on Education and Training of RF Instruments and their usage for EMC and 5G Applications organized by IEEE in Bangalore 📡Online Faculty Training Program on “5G Wireless Communication Technology” organized by IEEE India Council (July 28-30, 2022) 📡

Strengths 👍

Highly Motivated: Always striving to achieve excellence. 🌟Independent and Collective Worker: Capable of working both independently and in teams. 🤝Enjoys Challenges: Thrives in challenging work environments. 🏆Quick Learner: Learns new concepts swiftly. 📚Positive Attitude: Self-starter with a positive attitude. 👍Deadline-Oriented: Meets deadlines under dynamic and onsite pressure while delivering high-quality work. ⏰Client Collaboration: Manages all stages of product and project development working with the client onsite. 🤝Adaptable: Flexible and adaptable to different situations at work. 🌐Innovative: Continuously innovating for technological advancement and efficiency. 💡

Reviewer For 📝

AEU – International Journal of Electronics and Communications 📝ASTESJ – Advances in Science, Technology, and Engineering Systems Journal📝

Research Interests📡

Analog VLSIAntennas and Wave Propagation 📡

📖 Publications Top Note :

1. The Weak-Toll Function of a Graph: Axiomatic Characterizations and First-Order Non-definability

Year: 2024

Type: Book chapter

DOI: 10.1007/978-3-031-52213-0_20

Contributors: Lekshmi Kamal K. Sheela, Manoj Changat, Jeny Jacob

2. Unique Least Common Ancestors and Clusters in Directed Acyclic Graphs

Year: 2024

Type: Book chapter

DOI: 10.1007/978-3-031-52213-0_11

Contributors: Ameera Vaheeda Shanavas, Manoj Changat, Marc Hellmuth, Peter F. Stadler

3. The axiomatic characterization of the interval function of distance hereditary graphs

Journal: Discrete Applied Mathematics

Year: 2024-06

DOI: 10.1016/j.dam.2024.02.014

Contributors: Manoj Changat, Lekshmi Kamal Kamalolbhavan-Sheela, Prasanth G. Narasimha-Shenoi

4. The median function of a block graph: Axiomatic characterizations

Journal: Discrete Applied Mathematics

Year: 2024-05

DOI: 10.1016/j.dam.2024.01.040

Contributors: Manoj Changat, Gokul Krishna Gopakumar-Sheejakumari, Prasanth G. Narasimha-Shenoi

5. Axiomatic Characterization of the Toll Walk Function of Some Graph Classes

Year: 2023

Type: Book chapter

DOI: 10.1007/978-3-031-25211-2_33

Contributors: Lekshmi Kamal K. Sheela, Manoj Changat, Iztok Peterin

6. Segment Transit Function of the Induced Path Function of Graphs and Its First-Order Definability

Year: 2023

Type: Book chapter

DOI: 10.1007/978-3-031-26689-8_9

Contributors: Jeny Jacob, Manoj Changat

7. First-order logic with metric betweenness – the case of non-definability of some graph classes

Journal: AKCE International Journal of Graphs and Combinatorics

Year: 2023-12-14

DOI: 10.1080/09728600.2023.2282105

Contributors: Jeny Jacob, Manoj Changat

8. Comparability Graphs Among Cover-Incomparability Graphs

Year: 2022

Type: Book chapter

DOI: 10.1007/978-3-030-95018-7_5

Contributors: Arun Anil, Manoj Changat

9. Ptolemaic and Chordal Cover-Incomparability Graphs

Journal: Order

Year: 2022-04

DOI: 10.1007/s11083-021-09551-w

Contributors: Arun Anil, Manoj Changat

10. Axiomatic Characterization of the Median Function of a Block Graph – Year: 2021 – Type: Book chapter – DOI: 10.1007/978-3-030-67899-9_24 – Contributors: Manoj Changat, Nella Jeena Jacob, Prasanth G. Narasimha-Shenoi