Sergios Villette | Mechanical Engineering | Best Researcher Award

Mr. Sergios Villette | Mechanical Engineering | Best Researcher Award

MEng, PhD Candidate Researcher, LTT/NTUA, Greece

Alexandros Alexiou is a mechanical engineer and researcher specializing in sustainable aviation fuel technologies and aeroengine combustion modeling. He is currently pursuing a Ph.D. in Mechanical Engineering at the National Technical University of Athens (NTUA), focusing on the experimental evaluation and modeling of alternative fuels in aircraft engines. His research involves aeroengine combustion chamber modeling, uncertainty quantification in aerodynamics, and innovative propulsion systems. Alexandros has collaborated on major projects with industry leaders such as SAFRAN Group and HELPE Group. With expertise in CFD simulations, mechanical design, and programming, he has contributed to the advancement of bio-kerosene utilization and non-conventional combustion. He has published in peer-reviewed journals, including Aerospace, where his work was featured on the journal cover. In addition to his research, he has experience as a tutor, robotics teacher, and machinist, demonstrating his diverse technical and academic expertise.

Profile.

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Education

Alexandros Alexiou is currently pursuing a Ph.D. in Mechanical Engineering at the National Technical University of Athens (NTUA), focusing on sustainable aviation fuel technologies in aircraft propulsion systems. His doctoral research is funded by NTUA’s Special Account for Research Grants Scholarship. He holds a Master’s & Bachelor’s Degree in Mechanical Engineering from NTUA, specializing in Air and Ground Transfer Vehicles, with a GPA of 7.8/10. During his undergraduate studies, he conducted a diploma thesis on aerodynamic uncertainty quantification at the Parallel CFD & Optimization Unit (PCOpt) of LTT/NTUA, utilizing OpenFOAM and in-house codes. He completed his high school education at the 2nd General Lyceum of Corfu, achieving a GPA of 19.3/20. His strong academic foundation in aerodynamics, propulsion, and computational simulations has prepared him for cutting-edge research in aviation fuels, energy efficiency, and combustion modeling.

Experience 

Alexandros Alexiou is a Research Associate at the Laboratory of Thermal Turbomachines (LTT), NTUA, specializing in aeroengine combustion modeling and alternative fuel technologies. His research includes developing PROOSIS models for water evaporation and hydrogen combustion in collaboration with SAFRAN Group. He has also worked on the Lipid4fuel project, investigating bio-kerosene use in aircraft engines. Beyond research, Alexandros has diverse professional experience. He worked as a freelance tutor for engineering courses, a STEM/robotics teacher for primary school students, and a restaurant waiter during summer seasons. His technical background includes hands-on experience as a welder-machinist at Machine Shop L. Zorbas, gaining practical skills in mechanical fabrication. His expertise in CFD simulations, mechanical design, and programming allows him to contribute effectively to the advancement of sustainable aviation fuels and innovative propulsion systems. His interdisciplinary approach bridges engineering theory and practical applications in aviation and energy research.

Awards & Honors 

Alexandros Alexiou has received multiple prestigious awards in science and engineering competitions. In 2015, he was honored by the Association of Greek Chemists for his outstanding performance in the 29th National Chemistry Competition, securing an 85/100 score. In 2015, he placed 20th in the “Aristotle” National Physics Competition, earning recognition from the Association of Greek Physicists. He also received an award from the Hellenic Mathematical Society for his success in the “Thalis” National Mathematical Competition in 2014, showcasing his analytical and problem-solving skills. In addition to academic awards, he holds a DALF C2 certification in French from the Ministère de l’Éducation Nationale de la République Française and a Certificate of Proficiency in English (CPE) from the University of Cambridge, demonstrating bilingual proficiency. His achievements reflect a strong foundation in STEM disciplines, positioning him as a rising expert in mechanical engineering and aviation research.

Research Focus 

Alexandros Alexiou’s research focuses on sustainable aviation fuel technologies, aeroengine combustion modeling, and uncertainty quantification in aerodynamics. His Ph.D. work at NTUA involves experimental evaluation and modeling of biofuels and hydrogen-based propulsion systems, aiming to develop eco-friendly alternatives to conventional jet fuels. He specializes in computational fluid dynamics (CFD), chemical reactor networks, and non-intrusive uncertainty quantification for optimizing aircraft engine performance and emissions reduction. His expertise extends to hydrogen combustion modeling, bio-kerosene integration, and advanced propulsion systems. Alexandros has actively contributed to industry-driven projects, including SAFRAN’s PROOSIS modeling for hydrogen combustion and the Lipid4fuel project, a collaborative effort to assess bio-kerosene applications in aviation. His research integrates simulation tools such as OpenFOAM, ANSYS, and Cantera with experimental testing and industrial collaboration, driving innovation in green aviation technologies. His work aims to shape the future of sustainable air transportation and next-generation propulsion systems.

Publications

 

📖 Villette S, Adam D, Alexiou A, Aretakis N, Mathioudakis K. A Simplified Chemical Reactor Network Approach for Aeroengine Combustion Chamber Modeling and Preliminary Design. Aerospace. 2024; 11(1):22. 🔗 DOI (🌟 Journal Cover Feature)

📜 Diploma Thesis: Non-intrusive Polynomial Chaos Expansion for Aerodynamic Uncertainty Quantification & Robust Design with Manufacturing Uncertainties. Advisor: K. C. Giannakoglou, NTUA (2022).

Conclusion

The candidate demonstrates exceptional research potential in mechanical engineering and sustainable aviation fuels, making them a strong contender for the Best Researcher Award. Their work in combustion chamber modeling, bio-kerosene usage, and computational mechanics aligns with cutting-edge research trends.

Hugo Bildstein | Sensor-based Control | Best Researcher Award

Dr. Hugo Bildstein | Sensor-based Control | Best Researcher Award

Dr. LAAS-CNRS, France

Hugo Bildstein is a PhD candidate and Temporary Teaching and Research Assistant at the University of Toulouse 3 – Paul Sabatier, affiliated with the RAP team at LAAS-CNRS. His academic background includes a Master’s degree in Robotics from Toulouse and a previous engineering degree in Mechatronics from ENS Rennes. Hugo’s research focuses on visual predictive control for mobile manipulators, with notable publications in leading journals and conferences, including Robotics and Autonomous Systems (RAS) and IEEE/ASME AIM. His work explores strategies for improving visibility, manipulability, and stability in robotic systems.

Professional Profiles:

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Academic Background 🎓:

Hugo Bildstein is currently a Temporary Teaching and Research Assistant at the University of Toulouse 3 – Paul Sabatier, working within the RAP team at LAAS-CNRS, Toulouse. His academic journey includes a PhD at the same university from 2020-2024, following a Master’s degree in Robotics: Decision and Control (RODECO) at the University of Toulouse 3 – Paul Sabatier. Hugo also holds a Master’s degree in Mechatronics from ENS Rennes and ranked 11th in the Agrégation in Industrial Engineering Sciences, Electrical Engineering option in 2019.

Research Activities and  📚:

Hugo’s research focuses on enhancing visual predictive control for mobile manipulators. His work includes:“Visual Predictive Control for Mobile Manipulators: Visibility, Manipulability, and Stability” – to be published in Robotics and Autonomous Systems (RAS) in 2024.“Enhanced Visual Predictive Control Scheme for Mobile Manipulators” – presented at the 2023 European Conference on Mobile Robots (ECMR) in Coimbra, Portugal.“Multi-camera Visual Predictive Control Strategy for Mobile Manipulators” – showcased at the 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) in Seattle, USA.“Visual Predictive Control Strategy for Mobile Manipulators” – discussed at the 2022 European Control Conference (ECC) in London, United Kingdom.

Research Analysis for Hugo Bildstein

Strengths for the Award:

  1. Innovative Contributions: Hugo Bildstein’s research focuses on cutting-edge topics in robotics, particularly visual predictive control for mobile manipulators. His work on enhancing control schemes through multi-camera strategies and visual feedback systems is highly relevant and forward-thinking in the field of robotics and autonomous systems.
  2. Diverse Research Outputs: Bildstein has published several papers in prestigious journals and conferences, demonstrating a consistent and impactful research output. His papers, such as those presented at the European Conference on Mobile Robots (ECMR) and the IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), highlight significant contributions to the field.
  3. Academic Excellence: His strong academic background, including a PhD in Robotics and a Master’s degree in Robotics and Control, coupled with high rankings in competitive exams like the Agrégation in Industrial Engineering Sciences, underscores his deep expertise and commitment to the field.
  4. Teaching and Research Experience: As a Teaching and Research Assistant at the University of Toulouse 3 – Paul Sabatier, Bildstein not only engages in advanced research but also contributes to academic teaching, showcasing his ability to bridge research and education effectively.

Areas for Improvement:

  1. Citation Impact: While Bildstein has several publications, some of his recent papers have yet to accumulate significant citations. Increasing the visibility and impact of his work through broader dissemination and collaboration could enhance his academic profile.
  2. Interdisciplinary Applications: Expanding research to explore interdisciplinary applications of his work could provide broader impact and open new avenues for practical implementation of his findings.
  3. Research Collaboration: Engaging in collaborative research with industry partners or other academic institutions could provide additional resources and perspectives, potentially leading to more comprehensive studies and real-world applications.

Conclusion:

Hugo Bildstein is a promising candidate for the Best Researcher Award due to his innovative contributions to the field of robotics, particularly in visual predictive control for mobile manipulators. His strong academic background, diverse research outputs, and active role in teaching and research highlight his potential and dedication. Addressing areas such as citation impact and interdisciplinary applications could further enhance his standing in the research community.

✍️Publications Top Note :

1. Enhanced Visual Predictive Control Scheme for Mobile Manipulators

Authors: Hugo Bildstein, A. Durand-Petiteville, V. Cadenat

Citations: 0

2. Multi-camera Visual Predictive Control Strategy for Mobile Manipulators

Authors: Hugo Bildstein, A. Durand-Petiteville, V. Cadenat

3. Visual Predictive Control Strategy for Mobile Manipulators

Authors: Hugo Bildstein, A. Durand-Petiteville
Citations: 2
Access: Open access