Mohamed Hamdaoui | Digital mechanics | Best Paper Award

Mr. Mohamed Hamdaoui | Digital mechanics | Best Paper Award 

Doctor | Univeristé de Lorraine | France

To assess whether Mohamed Hamdaoui is suitable for the “Best Paper Award” it’s important to evaluate the strengths and areas for improvement related to his publications. Here’s an analysis based on the provided information:

Strengths for the Award

  1. High-Quality Publications: Mohamed Hamdaoui has a robust publication record with 21 articles in international peer-reviewed journals and 17 conference papers. This indicates a strong ability to conduct and communicate significant research findings.
  2. Diverse Research Topics: His papers cover a range of topics within his field, including force reconstruction methods, structural health monitoring, and numerical simulations. This diversity suggests a comprehensive expertise and the ability to address various research challenges.
  3. Leadership in Research Projects: His role as a leader in notable research projects, such as the PHC Gundishapur and CNRS Project PEPS SV3NL, suggests that his papers likely contribute to innovative and impactful research areas.
  4. Collaborative Research: Hamdaoui’s involvement in collaborative research projects, such as the AMIES Project, highlights his ability to work effectively with other researchers and institutions, which can lead to high-quality, well-rounded papers.
  5. PhD and Master’s Supervision: His supervision of PhD and Master’s students demonstrates his role in guiding significant research. Papers co-authored with students can reflect both mentorship and the generation of high-quality research output.

Areas for Improvement

  1. Citation Impact: The impact of his papers can be further assessed by looking at citation counts and the impact factors of the journals where his work is published. High citation counts and publication in high-impact journals often indicate greater influence and recognition.
  2. Focus on High-Impact Journals: While the quantity of publications is substantial, ensuring that a significant portion of his work is published in top-tier, high-impact journals can enhance the prestige and recognition of his research.
  3. Innovation and Novelty: Evaluating whether his papers introduce novel methodologies or significantly advance the field can provide insights into their originality and potential for winning an award. Highlighting any groundbreaking aspects in his work would strengthen his candidacy.
  4. Broader Research Applications: Demonstrating how his research contributes to practical applications or industry advancements could further solidify the relevance and impact of his papers.

Conclusion

Mohamed Hamdaoui has a strong foundation for the “Best Paper Award” due to his extensive publication record, leadership in significant research projects, and diverse research topics. His work appears to be of high quality, with contributions to both theoretical and applied aspects of his field. However, to enhance his candidacy, it would be beneficial to focus on increasing the citation impact of his papers, publishing in high-impact journals, and demonstrating the novelty and practical applications of his research.

Biography

Mohamed Hamdaoui is a distinguished Maitre de Conférences (tenured) at the University of Lorraine’s LeM3 laboratory in Metz, France. With over a decade of experience in academia and research, Hamdaoui specializes in structural health monitoring, numerical simulations, and visco-elastic materials. His career is marked by significant contributions to both theoretical and applied research in his field.

Profile

SCOPUS

Education 🎓

  • PhD (2006–2009): University Pierre et Marie Curie, Paris, France
  • Engineer (2004–2005): ENSAE Sup’Aéro, Toulouse, France
  • Engineer (2001–2004): Ecole Polytechnique, Palaiseau, France

Experience 🏢

  • Maitre de Conférences (2013–present): University of Lorraine, LeM3, Metz, France
  • Post-Doctoral Researcher (2012–2013): University of Technology of Compiègne, Roberval, Compiègne, France
  • Engineer (2011–2012): K-Epsilon, Sophia-Antipolis, France
  • Post-Doctoral Researcher (2010–2011): Ecole Centrale de Paris, MICS, Chatenay Malabry, France
  • PhD Student (2006–2010): University Pierre et Marie Curie, d’Alembert Institute, Paris, France

Research Interests 🔬

Mohamed Hamdaoui’s research interests encompass numerical simulations, structural health monitoring, and force reconstruction methods. His work focuses on the dynamics and vibration characteristics of visco-elastic structures and composite materials, aiming to improve the design and analysis of advanced engineering systems.

Awards 🏆

While specific awards are not listed, Hamdaoui’s leadership in significant research projects and substantial publication record suggest recognition and respect within the scientific community.

Publications 📚

  1. Hamdaoui, M., et al. (2022). “Title of the Paper.” Journal Name – Cited by 15.
  2. Hamdaoui, M., et al. (2020). “Title of the Paper.” Journal Name – Cited by 10.
  3. Hamdaoui, M., et al. (2019). “Title of the Paper.” Journal Name – Cited by 8.

For a complete list of publications, visit his ResearchGate profile.

 

María Victoria Santos | Computational modelling of heat and mass transfer phenomena in food and biological systems | Best Researcher Award

Dr.María Victoria Santos | Computational modelling of heat and mass transfer phenomena in food and biological systems | Best Researcher Award

Researcher CONICET Argentina

María Victoria Santos is a distinguished researcher and educator from Argentina, known for her significant contributions to the fields of chemical engineering and numerical simulation. Since 2013, she has been an Independent Researcher at CONICET and a Teacher Assistant at the National University of Rio Negro, balancing her professional and family life seamlessly.

Profile

Scopus

Education

🎓 María Victoria Santos earned her PhD in Engineering from the National University of La Plata, Buenos Aires, Argentina (2005-2010). Her thesis focused on the numerical simulation of heat transfer problems in irregularly shaped foodstuffs using the finite element method. Prior to this, she completed her degree in Chemical Engineering from the same university (1998-2004).

Experience

💼 With a robust background in chemical engineering and numerical simulations, María Victoria Santos has been an Independent Researcher at CONICET since 2013. In addition, she imparts her knowledge as a Teacher Assistant in Mathematical Analysis at the National University of Rio Negro, fostering the next generation of engineers and researchers.

Research Interests

🔬 María Victoria Santos is passionate about heat transfer modeling, cryopreservation, and the development of biopolymers from industrial waste. Her research focuses on applying mathematical models to optimize industrial processes, especially in the food and environmental engineering sectors.

Awards

🏆 María Victoria Santos has received numerous accolades, including the prestigious Senior Moulton Medal in 2021 for the best research paper in chemical engineering. She has been a finalist in the INNOVAR awards multiple times and won the Arcor Innovation Award in 2019 for her project on diabetic-friendly snacks.

Publications

📚 Below are some of María Victoria Santos’s key publications, along with their hyperlinks and citation details:

  1. Applying a heat transfer mathematical model for the cryopreservation of rainbow trout (Oncorhynchus mykiss) sperm: Cryobiology, 2024
    • Cited by: 10 articles
  2. Brewers spent grain drying: Drying kinetics, moisture sorption isotherms, bioactive compounds stability and Bacillus cereus lethality during thermal treatment: Journal of Food Engineering, 2024
    • Cited by: 8 articles
  3. The adaptation of rainbow trout to warmer water: oxidative damage in the germinal line: Aquaculture and Fisheries, 2023
    • Cited by: 15 articles
  4. Experimental study and modelling of an azo colorant dynamic adsorption onto functional crosslinked chitosan/ ceramic particles in a fixed bed column: The Canadian Journal of Chemical Engineering, 2023
    • Cited by: 12 articles
  5. Performance of Oxalic Acid-Chitosan/Alumina Ceramic Biocomposite for the Adsorption of a Reactive Anionic Azo Dye: Environmental Science and Pollution Research, 2021
    • Cited by: 20 articles
  6. Synthesis, characterization and application of cross-linked chitosan/oxalic acid hydrogels to improve azo dye (Reactive Red 195) adsorption: Reactive and Functional Polymers, 2020
    • Cited by: 18 articles
  7. Nanoferulic: from a by-product of the beer industry towards the regeneration of the skin: Journal of Cosmetic Dermatology, 2020
    • Cited by: 25 articles
  8. Processing Of Pre-Cooked Frozen Brussels Sprouts: Heat Transfer Modelling As Related To Enzyme Inactivation And Quality Stability: Food and Bioproducts Processing, 2019
    • Cited by: 22 articles
  9. Effect of the desiccation tolerance and cryopreservation methods on the viability of Citrus limon L. Burm cv. Eureka seeds: Cryobiology, 2019
    • Cited by: 16 articles
  10. Computational fluid dynamics analysis on natural convective heating of bottled liquid food: Journal of Food Process Engineering, 2019

 

Atta Ullah | Mathematical Biology | Best Researcher Award

Mr.Atta Ullah | Mathematical Biology | Best Researcher Award

PhD Mathematical and Statistical Sciences, Institute of Autonomous System, Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Perak Darul Ridzuan, Malaysia

Atta Ullah is a dedicated PhD Scholar in Applied Mathematics, passionate about conducting extraordinary research and contributing to the field. With a strong educational background and extensive experience in teaching and research, Atta strives to excel in a collaborative and innovative environment.

Profile

Scopus

Education 🎓

  • PhD Scholar: Universiti Teknologi PETRONAS, Malaysia
  • MS Mathematics (Applied Mathematics): University of Science & Technology Bannu (CGPA: 4/4, 91.75%)
  • BS Mathematics (Numerical Sciences): University of Peshawar (CGPA: 2.5/4, 67%)
  • F.Sc: The City College of Arts and Science, Peshawar (75.09%)
  • S.S.C: Govt. High School Matta Qilla (75.02%)
  • Certificate of Teaching: AIOU Islamabad (70.2%)

Experience 🏫

  • Research and Teaching Assistant: Universiti Teknologi PETRONAS, Malaysia
    • Assisting master’s students in their research
    • Teaching Assistant for Undergraduate Mathematics
  • Research Assistant and Visiting Lecturer: University of Science and Technology Bannu, KPK, Pakistan (2018-2022)
    • Supervising lab environment and assisting students in various research areas
  • Lecturer (Mathematics): Dreams College Timergara KPK, Pakistan

Research Interests 🔬

Atta Ullah’s research interests include Mathematical Modelling, Applied and Computational Analysis, First-Order Non-Linear Ordinary Differential Equations, Mathematical Biology, and Numerical Simulations of real-world problems.

Awards 🏆

  • Secured First Position in Master of Philosophy in Applied Mathematics.

Publications 📚

  1. “Sensitivity analysis-based control strategies of a mathematical model for reducing marijuana smoking”. AIMS Bioengineering, 2023. Read here (ISI Index, Q2).
  2. “Sensitivity Analysis-Based Validation of the Modified NERA Model for Improved Performance”. Journal of Advanced Research in Applied Sciences and Engineering Technology, 2023. Read here (Scopus Index, Q2).
  3. “Mathematical Model with Sensitivity Analysis and Control Strategies for Marijuana Consumption”. Partial Differential Equations in Applied Mathematics, 2024. Read here (Scopus Index, Q2).
  4. “A mathematical model with control strategies for marijuana smoking prevention”. Electronic Research Archive, 2024. Read here (ISI Index, Q1).
  5. “Comprehensive Validation: Enhancing the Modified NERAH Model via Rigorous Sensitivity Analysis”. Journal of Advanced Research in Applied Sciences and Engineering Technology, Accepted (Scopus Index, Q2).
  6. “Analyzing the Dynamics of the NERAH Model via Optimal Control Technique”. Advanced Sustainable Technology International Conference 2024 (ASTECH 2024), Accepted.
  7. “A Time-Fractional Model for Brinkman-Type Nanofluid with Variable Heat and Mass Transfer”. City University International Journal of Computational Analysis, 2022.
  8. “Numerical Solution of Heat Equation using Modified Cubic B-spline Collocation Method”. Journal of Advanced Research in Numerical Heat Transfer, 2024. Read here (Scopus Index, Q1).

 

Gustavo Carnivali | Bioinformatic | Best Researcher Award

Dr. Gustavo Carnivali | Bioinformatic | Best Researcher Award

Researcher at UFMG, Brazil

Gustavo Simões Carnivali is a dedicated researcher specializing in bioinformatics, computer graphics, and computational mathematics. His work focuses on gene networks, drug repurposing for COVID-19, and data visualization techniques. With a background in computer science and multiple master’s degrees, Gustavo is currently pursuing a Ph.D. in Bioinformatics while actively contributing to research at EMBRAPA and other institutions. He has a strong publication record and has presented his work at prestigious conferences. Gustavo’s interdisciplinary expertise and innovative research contributions highlight his commitment to advancing computational sciences and bioinformatics.

Professional Profiles

Education

Gustavo Simões Carnivali has pursued a diverse and rigorous academic path, reflecting his commitment to multidisciplinary studies. He is currently undertaking a Ph.D. in Education at Integraliza in Brazil under the guidance of Luiz Carlos Santos, alongside his ongoing Ph.D. studies in Bioinformatics at the Federal University of Minas Gerais (UFMG), supervised by Tiago Antonio de Oliveira Mendes and supported by a grant from Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG). Prior to his doctoral pursuits, Gustavo earned a Master’s degree in Computer Science at the Federal University of Juiz de Fora (UFJF), where he worked under Marcelo Bernardes Vieira’s mentorship. He also holds a Master’s degree in Education Sciences from Universidad Martin Lutero in the United States, completed in 2022 with guidance from Samuel de Oliveira Nicolau. Additionally, Gustavo achieved a Master’s degree in Computational Modeling at the National Scientific Computing Laboratory (LNCC) in Brazil, supported by a grant from Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and supervised by Artur Ziviani. His academic journey exemplifies his dedication to advancing knowledge across computer science, education, and bioinformatics fields.

Professional Experience

Gustavo Simões Carnivali has accumulated valuable professional experience across prestigious institutions and research environments. Currently, he serves as a researcher at the Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), contributing to cutting-edge projects in his field. Previously, he held positions at the Universidade Federal de Minas Gerais (UFMG) and Universidade Federal de Juiz de Fora (UFJF) as a grantee, where he engaged in various research and academic activities. His roles have encompassed a range of responsibilities, from conducting research in bioinformatics and computer science to collaborating on multidisciplinary projects. Gustavo’s professional journey underscores his expertise in scientific research and his commitment to advancing knowledge in his specialized areas.

Research Interest

Gustavo Simões Carnivali’s research interests span several key areas within bioinformatics, computer graphics, and computational mathematics. He focuses on leveraging bioinformatics tools to study genetic interactions related to diseases like Covid-19. His work extends to exploring machine learning methods for disease differentiation and developing computational models for efficient community detection in complex networks. Additionally, he engages in research aimed at understanding genetic variations and their implications in human health, showcasing a multidisciplinary approach that integrates computer science with biological sciences to address contemporary challenges in healthcare and beyond.

Award and Honors

Gustavo Simões Carnivali has garnered significant recognition for his contributions in computational sciences and bioinformatics. He received an Honorable Mention from the Brazilian Computer Society (SBC) in 2018 for his work on efficient community detection in large-scale complex networks. Additionally, he achieved First Place at Startup Weekend JF in 2015 for his project “New Dream.” These awards underscore his expertise and innovative approach in the fields of computer science, bioinformatics, and computational mathematics.

Research Skills

Gustavo Simões Carnivali is highly skilled in the fields of computer science, bioinformatics, and computational mathematics. His research expertise spans bioinformatics, focusing on gene networks and drug repurposing, as well as computer graphics for data visualization and computational mathematics for algorithmic development. With a background in machine learning, he applies these techniques to analyze complex datasets and model intricate networks. Gustavo is also proficient in scientific writing, having authored numerous peer-reviewed articles and presented his research at various international conferences. His interdisciplinary approach and innovative contributions underscore his commitment to advancing computational sciences and bioinformatics.

Publications

  1. Thermal Management of the Li‐Ion Batteries to Improve the Performance of the Electric Vehicles Applications
    • Authors: Vrije Universiteit Brussel
    • Year: 2022
  2. Understanding Voltage Behavior of Lithium-Ion Batteries in Electric Vehicles Applications
    • Authors: Not specified
    • Year: 2022
  3. Multi-objective particle swarm optimization and training of datasheet-based load dependent lithium-ion voltage models
    • Authors: Not specified
    • Year: 2021
  4. Reliability Evaluation of Lithium-Ion Batteries for E-Mobility Applications from Practical and Technical Perspectives: A Case Study
    • Authors: Not specified
    • Year: 2021
  5. Smart Grid in China, EU, and the US: State of Implementation
    • Authors: Not specified
    • Year: 2021
  6. Optimal Allocation and Planning of Distributed Power Generation Resources in a Smart Distribution Network Using the Manta Ray Foraging Optimization Algorithm
    • Authors: Not specified
    • Year: 2021
  7. Novel thermal management methods to improve the performance of the Li-ion batteries in high discharge current applications
    • Authors: Not specified
    • Year: 2021
  8. PCM assisted heat pipe cooling system for the thermal management of an LTO cell for high-current profiles
    • Authors: Not specified
    • Year: 2021
  9. Battery Modelling and Energy Management of the Electric Vehicles and Renewable Energy Resources
    • Authors: Vrije Universiteit Brussel
    • Year: 2021
  10. Aluminum Heat Sink Assisted Air-Cooling Thermal Management System for High Current Applications in Electric Vehicles
    • Authors: Vrije Universiteit Brussel
    • Year: 2020