Mr. Oussama El Othmani | Data Science and Deep Learning | Excellence in Research

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Mr. Oussama El Othmani | Data Science and Deep Learning | Excellence in Research

Computer Engineering, Tunisia Polytechnic School, Tunisia

This individual is a promising researcher and software engineer with a strong background in computer science. Currently pursuing a PhD in ETIC at Tunisia Polytechnic School, University of Carthage La Marsa, they have a solid foundation in computer engineering from the Tunisian Military Academy. With experience as a software engineer at the Tunisian Ministry of National Defense, they have developed expertise in software development, collaboration, and problem-solving. Their research interests lie at the intersection of technology and innovation, with potential applications in various fields.

Profile

orcid

🎓 Education

– *PhD in ETIC*: Tunisia Polytechnic School, University of Carthage La Marsa, Tunis (2024 – Present)- *Computer Engineering*: Tunisian Military Academy, Fondik Jdid (2020-2023)- *Preparatory Mathematics-Physics*: Tunisian Military Academy, Fondik Jdid (2018-2020)- *Relevant Coursework*: Advanced Learning Algorithms, Artificial Intelligence, Computer Architecture, Database Management, Software Methodology, Project Management Fundamentals

👹‍🔬 Experience

– *Software Engineer*: Tunisian Ministry of National Defense (August 2023 – Present) – Participated in the full software development lifecycle – Collaborated with system engineers, hardware designers, and integration/test engineers – Developed optimized code for specific hardware platforms – Applied Agile development methodologies and object-oriented architectures

🔍 Research Interest

The individual’s research focus is not explicitly stated, but based on their education and experience, they may be interested in exploring topics related to artificial intelligence, computer architecture, and software methodology. Potential research areas could include machine learning, data science, and software engineering.

Awards and Honors🏆

No information is available on awards and honors received by the individual.

📚 Publications 

Rough Set Theory and Soft Computing Methods for Building Explainable and Interpretable AI/ML Models

DĂ©veloppement d’un systĂšme de dĂ©tection des anomalies des cellules sanguines et son utilisation en tĂ©lĂ©mĂ©decine

BloodScan

Conclusion

The candidate shows promise for the Best Researcher Award with their relevant education, professional experience, and technical skills. However, additional research experience, interdisciplinary knowledge, and a stronger publication record would significantly enhance their application. With focused effort in these areas, the candidate could become a strong contender for the award.

Dr. Seyed Abolfazl Aghili | machine learning and deep learning | Best Review Paper Award

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Dr. Seyed Abolfazl Aghili | machine learning and deep learning | Best Review Paper Award

lecturer, Siran university of science and technology, Iran

Seyed Abolfazl Aghili is a civil engineer and researcher with expertise in construction engineering and management. He holds a Ph.D. in Civil Engineering from Iran University of Science and Technology (IUST). His research focuses on machine learning, resiliency, and building information modeling (BIM). Dr. Aghili has published several papers in reputable journals and has presented his work at international conferences. He is fluent in Persian and English and has skills in various software, including Python, MS Project, and Autodesk AutoCAD.

Profile

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Education 🎓

Ph.D. in Civil Engineering, Construction Engineering and Management, Iran University of Science and Technology (IUST), 2019-2024 (link unavailable) in Civil Engineering, Construction Engineering and Management, Iran University of Science and Technology (IUST), 2013-2015 (link unavailable) in Civil Engineering, Isfahan University of Technology (IUT), 2009-2013

Experience đŸ’ŒÂ 

Researcher, Iran University of Science and Technology (IUST), 2019-2024  Graduate Research Assistant, Iran University of Science and Technology (IUST), 2013-2015  Undergraduate Research Assistant, Isfahan University of Technology (IUT), 2009-2013

Awards and Honors🏆

Ranked 5th among 2200 participants in Nationwide University Entrance Exam for Ph.D. program in Iran, 2019 Ranked 2nd among all construction management students in Iran University Science and Technology, 2013-2015 Ranked 220th among 32,663 participants (Top 1%) in Nationwide University Entrance Exam for (link unavailable) program in Iran, 2013

Research Focus

Machine learning and deep learning methods  Resiliency  Building Information Modeling (BIM)  Human Resource Management (HRM)  Decision Making Systems for Project Managers

Publications 📚

1. Artificial Intelligence Approaches to Energy Management in HVAC Systems: A Systematic Review đŸ€–
2. Data-driven approach to fault detection for hospital HVAC system 📊
3. Feasibility Study of Using BIM in Construction Site Decision Making in Iran đŸ—ïž
4. Review of digital imaging technology in safety management in the construction industry 📾
5. The role of insurance companies in managing the crisis after earthquake đŸŒȘ
6. The need for a new approach to pre-crisis and post-crisis management of earthquake 🌊

Conclusion

Seyed Abolfazl Aghili is an exceptional researcher with a strong academic background, interdisciplinary research experience, and a notable publication record. His teaching and mentoring experience, as well as his technical skills, demonstrate his commitment to education and research. While there are areas for improvement, Dr. Aghili’s strengths make him a strong candidate for the Best Researcher Award.

alain R THIERRY | Data Science and Deep Learning | Excellence in Research

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Prof. alain R THIERRY  | Data Science and Deep Learning | Excellence in Research

Director of Research, INSERM U1194, France

Dr. alain R THIERRY, a distinguished biologist, and cancer researcher, is a Director of Research at INSERM and a key figure at the Institut de Recherche en Cancérologie de Montpellier. With an impressive track record in molecular biology, gene therapy, and cancer research, Dr. alain R THIERRY has held numerous influential positions in academia and the biotechnology sector, including roles at NIH and Georgetown University. A prolific author and scientific leader, they have also founded biotech companies like MedinCell and DiaDx. Dr. alain R THIERRYcontinues to drive innovative therapeutic solutions, recognized by international honors and awards.

Publication Profile

scholar

Education🎓 

2003: Habilitation Ă  Diriger les Recherches (HDR) in Biology-Health, UniversitĂ© Montpellier II 1987: CES in Human Biology (Oncology), FacultĂ© de MĂ©decine Paris-Sud 1986: PhD in Biochemistry, Cellular & Molecular Pharmacology, UniversitĂ© Montpellier II 1983: MSc in Cellular & Molecular Biology, UniversitĂ© de Clermont-Ferrand II 1983: DiplĂŽme d’IngĂ©nieur, UniversitĂ© Clermont-Fd II 1982: BSc in Biological Sciences & Technology, UniversitĂ© Clermont-Fd

Professional ExperienceđŸ’ŒÂ 

208-present: Director of Research, INSERM, Institut de Recherche en Cancérologie, Montpellier 2001-2007: Associate Professor, Université Montpellier II2003-2004: Director of R&D, MedinCell SA, Montpellier 1997-2000: Scientific Director, Gene Therapy Dept., Biovector Therapeutics 1992-1996: Scientist, Tumor Cell Biology Lab, NCI/NIH, Bethesda 1992-1994: Adjunct Assistant Professor, Lombardi Cancer Institute, Washington DC 1988-1992: Postdoctoral Fellow, Lombardi Cancer Center, Georgetown University

Awards and Honors🏆 

1994: Federal Technology Award, NIH, USA ($10,000) 2002: Prix National de l’Innovation, Ministry of Education and Research, Paris (€300,000) 2016: Grand Prix de l’Innovation ThĂ©rapeutique, Fondation B. Denys & FRM, Montpellier (€50,000) 2022: Finalist, Prix Innovation Unicancer 2022: Innovation Award, Montpellier UniversitĂ© Excellence

Research Focus 🔬 

Molecular Oncology: Pioneer in understanding the molecular pathways of cancer and therapeutic gene delivery Gene Therapy: Focus on targeted gene therapy to treat cancers, with expertise in vectors and delivery systems Circulating DNA: Breakthrough research in non-invasive biomarkers for early cancer detection
Therapeutics Innovation: Key developer of novel therapeutic strategies, including drug delivery systems and cancer diagnostics
Collaborative Research: Strong interdisciplinary collaborations in biotechnology and cancer research

Publication  Top Notes

  • Origins, structures, and functions of circulating DNA in oncology
    AR Thierry, S El Messaoudi, PB Gahan, P Anker, M Stroun
    Cancer and Metastasis Reviews, 2016 | 812 citations
  • Clinical validation of the detection of KRAS and BRAF mutations from circulating tumor DNA
    AR Thierry, F Mouliere, S El Messaoudi, C Mollevi, E Lopez-Crapez
    Nature Medicine, 2014 | 735 citations
  • Nomenclature for synthetic gene delivery systems
    PL Felgner, Y Barenholz, JP Behr, SH Cheng, P Cullis, L Huang, AR Thierry
    Human Gene Therapy, 1997 | 652 citations
  • High fragmentation characterizes tumour-derived circulating DNA
    F Mouliere, B Robert, E Arnau Peyrotte, M Del Rio, M Ychou, F Molina, AR Thierry
    PLOS One, 2011 | 627 citations
  • Circulating cell-free DNA: preanalytical considerations
    S El Messaoudi, F Rolet, F Mouliere, AR Thierry
    Clinica Chimica Acta, 2013 | 602 citations

Conclusion:

This individual is highly suitable for the Best Researcher Award. Their long-standing career in oncology research, leadership in both academic and biotech sectors, and recognition through awards place them in an elite category of researchers. Continued engagement in broader interdisciplinary fields and public communication could further elevate their profile. Overall, their qualifications, contributions, and leadership make them a strong candidate for excellence in research awards.

Aaron Brunk | Applied and Numerical Analysis | Best Researcher Award

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Dr. Aaron Brunk | Applied and Numerical Analysis | Best Researcher Award

Dr. Johannes-Gutenberg University, Germany

Dr. Aaron Brunk is a Post-Doc Research Fellow at Johannes Gutenberg-University Mainz, specializing in numerical mathematics under Prof. Dr. Maria M. Lukácová-Medvid’ová. He focuses on thermodynamically consistent fluid modeling, parabolic cross-diffusion system analysis, and structure-preserving method construction. Dr. Brunk completed his PhD with magna cum laude in 2022, studying viscoelastic phase separation. His work includes multiple DFG projects, with roles ranging from PhD student to Principal Investigator. He is an active academic contributor, organizing seminars and workshops, presenting at international conferences, and engaging in research stays and academic self-administration. His current research projects involve variational quantitative phase-field modeling and spinodal decomposition of polymer-solvent systems.

 

Professional Profiles:

Googlescholar

🎓 Education

Nov. 2017 – Feb. 2022: Ph.D. in Mathematics (Dr. rer. nat.), Johannes Gutenberg-University Mainz, GermanyDissertation: Viscoelastic phase separation: Well-posedness and numerical analysisDisputation: 11.02.2022Degree: Magna cum laudeSupervisor: Prof. Dr. Mária M. Lukáčová-Medvid’ováOct. 2015 – Nov. 2017: M.Sc. in Mathematics, Johannes Gutenberg-University Mainz, GermanyThesis: Numerische Behandlung von zeitgebrochenen DiffusionsgleichungenSupervisor: Prof. Dr. Thorsten RaaschOct. 2012 – Oct. 2015: B.Sc. in Mathematics, Johannes Gutenberg-University Mainz, GermanyThesis: Mathematische Modellierung von PhosphorylierungssystemenSupervisor: Prof. Dr. Alan Rendall

🎓 Professional Experience

Feb. 2022 – Present: Post-Doc Research Fellow, Institute of Mathematics, Johannes Gutenberg-University Mainz, GermanyGroup: Numerical MathematicsSupervisor: Prof. Dr. MĂĄria M. LukáčovĂĄ-Medvid’ovĂĄActivities:đŸ§Ș Modelling of thermodynamically consistent complex fluids📊 Analysis of parabolic cross-diffusion systems🔧 Construction of structure-preserving methods for cross-diffusion systemsđŸ‘šâ€đŸ« Assistant in various tutorials and seminars📚 Independent lecturingNov. 2017 – Feb. 2022: Research Assistant, Institute of Mathematics, Johannes Gutenberg-University Mainz, GermanyGroup: Numerical MathematicsSupervisor: Prof. Dr. MĂĄria M. LukáčovĂĄ-Medvid’ovĂĄActivities:đŸ§Ș Modelling and analysis of viscoelastic phase separationđŸ‘šâ€đŸ« Assistant in various tutorials and seminars

📚 Third Party Projects

Sep. 2023 – Aug. 2026: German Research Foundation (DFG) – Principal InvestigatorProject: Variational quantitative phase-field modeling and simulation of powder bed fusion additive manufacturing within the DFG Priority Programme 2256Collaborator: B.-X. Xu, Technical University Darmstadt, Material ScienceFunded Ph.D. positionFeb. 2022 – Feb. 2026: German Research Foundation (DFG) – Postdoctoral ResearcherProject: Spinodal decomposition of polymer-solvent systems within the TRR 146 Multiscale Simulation Methods for Soft Matter SystemsPrincipal Investigators: M. LukáčovĂĄ-Medvid’ovĂĄ, B. DĂŒnwegNov. 2017 – Feb. 2022: German Research Foundation (DFG) – Ph.D. studentProject: Spinodal decomposition of polymer-solvent systems within the TRR 146 Multiscale Simulation Methods for Soft Matter SystemsPrincipal Investigators: M. LukáčovĂĄ-Medvid’ovĂĄ, B. DĂŒnweg, H. Egger

✍Publications Top Note :

Analysis of a Viscoelastic Phase Separation Model

Authors: A Brunk, B DĂŒnweg, H Egger, O Habrich, M LukáčovĂĄ-Medvid’ovĂĄ, …

Journal: Journal of Physics: Condensed Matter 33 (23), 234002, 2021

Citations: 19

Global Existence of Weak Solutions to Viscoelastic Phase Separation Part: I. Regular Case

Authors: A Brunk, M Lukáčová-Medvid’ová

Journal: Nonlinearity 35 (7), 3417, 2022

Citations: 14

Modelling Cell-Cell Collision and Adhesion with the Filament Based Lamellipodium Model

Authors: N Sfakianakis, D Peurichard, A Brunk, C Schmeiser

Journal: arXiv preprint arXiv:1809.07852, 2018

Citations: 10

Global Existence of Weak Solutions to Viscoelastic Phase Separation: Part II. Degenerate Case

Authors: A Brunk, M Lukáčová-Medvid’ová

Journal: Nonlinearity 35 (7), 3459, 2022

Citations: 9

Systematic Derivation of Hydrodynamic Equations for Viscoelastic Phase Separation

Authors: D Spiller, A Brunk, O Habrich, H Egger, M LukáčovĂĄ-Medvid’ovĂĄ, …

Journal: Journal of Physics: Condensed Matter 33 (36), 364001, 2021

Citations: 9

Existence, Regularity and Weak-Strong Uniqueness for the Three-Dimensional Peterlin Viscoelastic Model

Authors: A Brunk, Y Lu, M Lukacova-Medvidova

Journal: arXiv preprint arXiv:2102.02422, 2021

Citations: 9

Chemotaxis and Haptotaxis on Cellular Level

Authors: A Brunk, N Kolbe, N Sfakianakis

Journal: Theory, Numerics and Applications of Hyperbolic Problems I: Aachen, Germany, …

Citations: 4

On Existence, Uniqueness and Stability of Solutions to Cahn–Hilliard/Allen–Cahn Systems with Cross-Kinetic Coupling

Authors: A Brunk, H Egger, TD Oyedeji, Y Yang, BX Xu

Journal: Nonlinear Analysis: Real World Applications 77, 104051, 2024

Citations: 3

Stability and Discretization Error Analysis for the Cahn–Hilliard System via Relative Energy Estimates

Authors: A Brunk, H Egger, O Habrich, M Lukáčová-Medviďová

Journal: ESAIM: Mathematical Modelling and Numerical Analysis 57 (3), 1297-1322, 2023

Citations: 3

Existence and Weak-Strong Uniqueness for Global Weak Solutions for the Viscoelastic Phase Separation Model in Three Space Dimensions

Authors: A Brunk

Journal: arXiv preprint arXiv:2208.01374, 2022

Citations: 3

Relative Energy and Weak–Strong Uniqueness of a Two‐Phase Viscoelastic Phase Separation Model

Authors: A Brunk, M Lukáčová‐Medvid’ovĂĄ

Journal: ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift fĂŒr Angewandte …, 2023

Citations: 2

Viscoelastic Phase Separation: Well-Posedness and Numerical Analysis

Authors: A Brunk

Journal: Dissertation, Mainz, Johannes Gutenberg-UniversitÀt Mainz, 2022

Citations: 2

Relative Energy Estimates for the Cahn-Hilliard Equation with Concentration Dependent Mobility

Authors: A Brunk, H Egger, O Habrich, M Lukacova-Medvidova

Journal: arXiv preprint arXiv:2102.05704, 2021

Citations: 2

Stability, Convergence, and Sensitivity Analysis of the FBLM and the Corresponding FEM

Authors: N Sfakianakis, A Brunk

Journal: Bulletin of Mathematical Biology 80, 2789-2827, 2018

Citations: 2

Fundamentals of the Oldroyd-B Model Revisited: Tensorial vs. Vectorial Theory

Authors: A Brunk, J Chaudhuri, M Lukacova-Medvidova, B Duenweg

Journal: arXiv preprint arXiv:2308.01326, 2023

Citations: 1

On Uniqueness and Stable Estimation of Multiple Parameters in the Cahn–Hilliard Equation

Authors: A Brunk, H Egger, O Habrich

Journal: Inverse Problems 39 (6), 065002, 2023

Citations: 1

A Second-Order Fully-Balanced Structure-Preserving Variational Discretization Scheme for the Cahn-Hilliard Navier-Stokes System

Authors: A Brunk, H Egger, O Habrich, M Lukacova-Medvidova

Journal: arXiv preprint arXiv:2209.03849, 2022

Citations: 1

Structure-Preserving Approximation of the Cahn-Hilliard-Biot System

Authors: A Brunk, M Fritz

Journal: arXiv preprint arXiv:2407.12349, 2024

Error Analysis for a Viscoelastic Phase Separation Model

Authors: A Brunk, H Egger, O Habrich, M Lukacova-Medvidova

Journal: arXiv preprint arXiv:2407.01803, 2024

Nonisothermal Cahn-Hilliard Navier-Stokes System

Authors: A Brunk, D Schumann

Journal: arXiv preprint arXiv:2405.13936, 2024