Xilei Dai | Engineering | Young Scientist Award

Published on by Environmental Scientists

Prof. Dr. Xilei Dai | Engineering | Young Scientist Award

Professor | Chongqing University | China

Prof. Dr. Xilei Dai is a distinguished faculty member at the School of Architecture and Urban Planning, Chongqing University, with recognized expertise in the fields of smart building control, energy optimization, and sustainable building technologies. His academic profile is well established with 2,206 citations by 2,085 documents, 38 documents published, and an h-index of 17, demonstrating the strong impact and relevance of his research. He has influential publications in top-tier journals such as Applied Energy, Building Simulation, Building and Environment, and Energy and Buildings. One of his highly influential papers on green building has been widely acknowledged by peers, earning significant citations and recognition as an ESI highly cited work. His editorial contributions include serving as an associate editor for the Journal of Renewable and Sustainable Energy, further underlining his commitment to advancing knowledge in renewable energy and sustainability. Prof. Dr. Xilei Dai research focuses on building decarbonization strategies by integrating IoT-based technologies, artificial intelligence control systems, distributed energy resources, and battery storage, offering impactful solutions that reduce both energy consumption and carbon emissions. He has successfully led innovative projects such as the development of NetZero Building Energy Management Systems through AI-driven HVAC system control, reflecting his dedication to creating practical solutions with far-reaching implications for sustainable urban development. His research not only addresses pressing environmental challenges but also bridges the gap between optimization theory and real-world applications in energy system economics. With an expanding body of highly cited work, editorial leadership, and a strong focus on innovative building energy systems, Prof. Dr. Xilei Dai continues to contribute significantly to the global effort of achieving smart, efficient, and environmentally responsible building environments.

Profile: Scopus | Orcid | Google Scholar | Staff Page |

Featured Publications

Cao, X., Dai, X., & Liu, J. (2016). Building energy-consumption status worldwide and the state-of-the-art technologies for zero-energy buildings during the past decade. Energy and Buildings, 128, 198–213.

Dai, X., Liu, J., & Zhang, X. (2020). A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings. Energy and Buildings, 223, 110159.

Liu, J., Dai, X., Li, X., Jia, S., Pei, J., Sun, Y., Lai, D., Shen, X., Sun, H., Yin, H., … (2018). Indoor air quality and occupants’ ventilation habits in China: Seasonal measurement and long-term monitoring. Building and Environment, 142, 119–129.

Dai, X., Huang, L., Qian, Y., Xia, S., Chong, W., Liu, J., Ieva, A. D., Hou, X., & Ou, C. (2020). Deep learning for automated cerebral aneurysm detection on computed tomography images. International Journal of Computer Assisted Radiology and Surgery, 15, 715–723.

Dai, X., Liu, J., Li, X., & Zhao, L. (2018). Long-term monitoring of indoor CO2 and PM2.5 in Chinese homes: Concentrations and their relationships with outdoor environments. Building and Environment, 144, 238–247.

 

Fernando Bruno Dovichi Filho | Engineering | Best Researcher Award

Published on by Environmental Scientists

Prof. Fernando Bruno Dovichi Filho | Engineering | Best Researcher Award

Professor, UNIFEI/UFSCAR, Brazil

Fernando Bruno Dovichi Filho 🇧🇷 is a Brazilian Mechanical Engineer with a Ph.D. in Mechanical Engineering, specializing in energy systems, renewable energy, and thermal modeling. With a rich blend of academic and research experience, he is currently a Substitute Professor at the Federal Institute of São Paulo (IFSP – Piracicaba campus). His work focuses on computational modeling, biomass energy, and sustainability-driven technologies, actively contributing to Brazil’s bioenergy development. Fernando’s background includes hands-on research in high-precision machining, hybrid propulsion, and energy conversion systems.

Profile

Orcid

Education 🎓

Fernando completed his Ph.D. in Mechanical Engineering (2017–2022) at the Federal University of Itajubá (UNIFEI), where he analyzed the technical and economic potential of electricity generation from biomass in Minas Gerais 🌱⚡. He earned his Master’s degree (2013–2015) at the same institution, refining thermal property estimation methods. His Bachelor’s in Industrial Mechanical Engineering (2008–2012) from ETEP Faculdades included a project on optical glass machining 🔧📐, showcasing his early inclination toward precision engineering and energy systems.

Experience 💼

With teaching and research roles across premier institutions, Fernando’s career spans from academia to aerospace research. Currently a full-time Substitute Professor at IFSP – Piracicaba (2023–present), he develops curricula, teaches engineering courses, and guides research and extension projects 🧑‍🏫📊. He previously served as a Substitute Professor at IFMS in 2016. As a PBIC/CNPq Research Fellow, he contributed to advanced propulsion research at both IAE and IEAv from 2009 to 2012, specializing in hybrid rocket engines, high-voltage discharges, and detonation studies using NASA CEA software 🚀💻.

Research Interest 🔍

Fernando’s research integrates renewable energy, thermal systems, and decision-making methodologies. His main focus is on biomass-based electricity generation, thermophysical property modeling, and multi-criteria decision analysis (MCDA) with GIS integration 🌍🧪. He is also keen on advancing thermal estimation techniques, applying hybrid modeling tools like MATLAB and EES, and evaluating the technology readiness of green energy solutions in Brazil and globally.

Awards 🏆

Fernando’s research integrates renewable energy, thermal systems, and decision-making methodologies. His main focus is on biomass-based electricity generation, thermophysical property modeling, and multi-criteria decision analysis (MCDA) with GIS integration 🌍🧪. He is also keen on advancing thermal estimation techniques, applying hybrid modeling tools like MATLAB and EES, and evaluating the technology readiness of green energy solutions in Brazil and globally.

Publications 📄

📖 Evaluation of TRL for biomass electricity technologies, Journal of Cleaner Production, 2021
DOI Link – Cited in renewable energy feasibility studies worldwide.

📖 GIS-MCDM methodology for biomass selection, Agriculture, 2025
DOI Link – A key reference for geo-spatial biomass planning.

📖 An approach to technology selection, Energy, 2023
DOI Link – Cited in works addressing clean technology prioritization.

📘 Book Chapter: From Crops and Wastes to Bioenergy, Woodhead Publishing, 2025

Publisher Link – Cited by authors in sustainable agriculture and energy.

Conclusion

Based on his research achievements, publications, and experience, Fernando Bruno Dovichi Filho is a suitable candidate for the Best Researcher Award. His contributions to sustainable energy solutions and his expertise in thermal systems optimization and renewable energy systems demonstrate his potential to make a significant impact in the field. With some further emphasis on international collaborations and publishing in top-tier journals, he is well-positioned to continue making meaningful contributions to research.

Mr. Konstantinos Polychronakis | Engineering | Best Researcher Award

Published on by Environmental Scientists

Mr. Konstantinos Polychronakis | Engineering | Best Researcher Award

Mr. Konstantinos Polychronakis, AUTH, Greece

Konstantinos Polychronakis is a skilled Mechanical Engineer specializing in energy management and system optimization, currently advancing environmental initiatives at AMBIO S.A. With prior experience as a Thermal Engineer at Spacedot, he has excelled in designing nanosatellite thermal systems that meet ESA and ECCS standards. His expertise extends to a range of software tools and programming languages, including MATLAB and ESATAN-TMS, enabling him to address complex engineering challenges.

Profile

Based on the provided information, Konstantinos Polychronakis appears to be a strong candidate for the “Best Researcher Award,” especially if the focus is on innovation and practical applications in energy management and thermal systems. Let’s break down the evaluation according to strengths, areas for improvement, and a conclusion:

Strengths for the Award

Strong Technical Expertise:

Extensive experience in mechanical engineering with a focus on energy management and system optimization.

Proficiency in advanced software like MATLAB, Python, ESATAN-TMS, ANSYS, and CAD tools, demonstrating a high level of technical skill.

Research and Project Experience:

Successfully conducted thermal design optimization for a nanosatellite project, meeting strict standards (ESA & ECCS requirements).

Currently working on a post-graduate thesis involving CFD and thermal analysis of floating solar PVs, showcasing cutting-edge research in renewable energy.

Educational Background:

Holding an Integrated Master’s in Mechanical Engineering and pursuing an MSc in Energy Production & Management, which aligns well with current industry needs.

Multilingual Proficiency:

Proficient in English (C2), with advanced knowledge of French (C1), which is beneficial for international collaboration and publications.

Areas for Improvement

Broader Publication Record:

There is no mention of peer-reviewed publications or conference presentations. Increasing visibility through scientific publications would strengthen the research profile.

Industry-Academia Collaboration:

While the candidate has a strong industry background, enhancing collaborations with academic research groups could lead to more comprehensive research outcomes.

Leadership in Research Projects:

The experience mentioned focuses on participation and contributions. Taking on a leadership role in major projects or research studies could further highlight capabilities.

Education 🎓📚

Konstantinos holds an Integrated Master’s degree in Mechanical Engineering from Aristotle University of Thessaloniki (2023) and is pursuing an MSc in Energy Production & Management at the National Technical University of Athens (expected 2025). His academic work includes a thesis on optimizing insulation thickness in residential buildings in Greece and ongoing research on thermal analysis of floating solar PV technologies.

Experience 💼🔧

Konstantinos is currently a Mechanical Engineer at AMBIO S.A., where he focuses on optimizing energy systems for environmental projects. Previously, he worked as a Thermal Engineer at Spacedot, contributing to nanosatellite thermal design by selecting thermal control materials and using ESATAN-TMS for temperature distribution analysis, ensuring satellite component safety across mission phases.

Research Interest 🔍🔋

Passionate about sustainable engineering, Konstantinos’ research interests include renewable energy systems, multi-objective optimization, and thermal analysis for aerospace applications. His ongoing postgraduate research involves using computational fluid dynamics (CFD) to analyze thermal properties of floating solar PV systems, comparing various technologies for optimal energy efficiency.

Awards 🏆🎖️

Konstantinos has been recognized for his innovative approach in mechanical engineering, receiving accolades in energy management and environmental optimization. His technical contributions have earned him award nominations within the engineering community.

Publications 📑🔗

“Thermal Design Optimization for Nanosatellites”,

“Energy Management Strategies in Environmental Engineering”

 

Conclusion

Konstantinos Polychronakis demonstrates significant potential as a nominee for the “Best Researcher Award,” given his expertise in thermal engineering, innovative approach to energy systems, and ongoing research in renewable energy technologies. To enhance his candidacy, he could focus on expanding his publication record and seeking leadership roles in future projects. Overall, his background and skills align well with the award’s objectives, making him a suitable and promising candidate.

Assist Prof. Dr. Khaleel Hasan Younis Babi | Engineering | Best Researcher Award

Published on by Environmental Scientists

Assist Prof. Dr. Khaleel Hasan Younis Babi | Engineering | Best Researcher Award

Assist Prof. Dr. Khaleel Hasan Younis Babi, Erbil Polytechnic University, Iraq

Dr. Khaleel Hasan Younis, an esteemed academic and civil engineer, was born on April 1, 1974, in Iraq. With a robust background in structural engineering, he has dedicated his career to both teaching and research at Erbil Polytechnic University. His expertise spans various areas, including concrete technology and sustainable building practices, making him a vital contributor to the field. 🌍📚

Profile

Scopus

Googlescholar

Education

Dr. Younis earned his PhD in Structural Engineering from the University of Sheffield, UK, in 2014. He also holds an M.Sc. in Structural Engineering from Al-Mustansiriya University, Baghdad, obtained in 1998, and a B.Sc. in Civil Engineering from the same institution in 1996. His educational journey reflects his commitment to advancing knowledge in civil engineering. 🎓📖

Experience

Dr. Younis began his professional journey as a Civil Engineer in 1998. Over the years, he has held positions as a Civil Engineer Associate with KLA and an academic role at the Department of Civil Techniques at Erbil Polytechnic University. He currently serves as the Head of the Road Construction Department while also supervising Master’s degree research at Al-Anbar University. His extensive teaching experience includes various civil engineering courses, showcasing his dedication to educating future engineers. 🏗️👷‍♂️

Research Interests

Dr. Younis’s research focuses on the advancement of concrete technology, specifically the use of recycled materials to improve eco-environmental performance. He investigates the behavior of different concrete mixtures and their mechanical properties, aiming to develop sustainable concrete solutions for the construction industry. His work includes studies on shrinkage behavior and the transport mechanisms of concrete. 🔬🌱

Awards

Dr. Younis has been recognized for his contributions to civil engineering and education. As an active member of various engineering committees and editorial boards, he continually contributes to the advancement of engineering practices in Iraq. His involvement in organizing and reviewing conferences further showcases his dedication to the field. 🏆🌟

Publication Top Notes

Strength prediction model and methods for improving recycled aggregate concrete

Feasibility of Using Nanoparticles of SiO 2 to Improve the Performance of Recycled Aggregate Concrete

Mechanical properties and ductility behavior of ultra-high performance fiber reinforced concretes: Effect of low water-to-binder ratios and micro glass fibers

Recycled aggregate concrete including various contents of metakaolin: mechanical behavior

Strength, abrasion resistance and permeability of artificial fly-ash aggregate pervious concrete

Feasibility of using recycled steel fibres to enhance the behaviour of recycled aggregate concrete

Influence of sodium hydroxide (NaOH) molarity on fresh properties of self-compacting slag-based geopolymer concrete containing recycled aggregate

Compressive and flexural strengths of recycled aggregate concrete: Effect of different contents of metakaolin

Restrained shrinkage behaviour of concrete with recycled materials

Recycled Aggregate Concrete Made with Silica Fume: Experimental Investigation

Assoc Prof. Dr. hacene mellah | Engineering | Best Researcher Award

Published on by Environmental Scientists

Assoc Prof. Dr. hacene mellah | Engineering | Best Researcher Award

Assoc Prof. Dr. hacene mellah, bouira university, Algeria

Dr. Hacene Mellah is a dedicated researcher and esteemed lecturer in Electrical Engineering, specializing in electrical machines. Currently serving as an MCA at Akli Mohand Oulhadj University in Bouira, Algeria, he brings extensive experience in both academia and research. With a career marked by a strong commitment to advancing electrical engineering, Dr. Mellah contributes actively to various scholarly publications and committees. His insights and research have notably enhanced knowledge in electrical systems, control, and diagnostics.

Profile

Orcid

Education 🎓

Dr. Mellah’s academic journey began with a BAC in 2001, followed by an Engineering degree in Electrical Control from Ferhat Abbas University, Setif, in 2006. He obtained a Magister in Electrical Machines and Control in 2009 and a Doctorate in Electrical Machines in 2020, also from Ferhat Abbas University. His doctoral research focused on enhancing the intrinsic parameters of electrical machines, a pursuit that reflects his commitment to innovation in electrical engineering.

Professional Experience 👨‍🏫

Dr. Mellah has been actively teaching since 2010 across various institutions, including the University of Sétif and the University of Chlef. His teaching portfolio spans power electronics, control systems, and electrical systems design for both undergraduate and graduate levels. His expertise also extends to mentoring students in competitions and supervising theses, demonstrating his dedication to nurturing future engineers.

Research Interests 🔬

Dr. Mellah’s research primarily revolves around electric machine diagnostics, control strategies, and multi-physics modeling. His work explores innovative methods for machine learning diagnostics, thermal transfer, and parametric estimation. He applies advanced techniques such as artificial neural networks to improve the accuracy of diagnostic and control systems, particularly for electric machines like IM, DCM, and PMSG.

Awards 🏆

Throughout his career, Dr. Mellah has been recognized for his contributions to electrical engineering research and academia. His dedication to advancing sustainable and renewable energy systems has earned him respect among peers and accolades from professional organizations. His ongoing involvement with academic journals as an editor and reviewer further reflects his esteemed role in the research community.

Publication Top Notes 📚

Fuzzy Logic-Based Smart Control of Wind Energy Conversion System Using Cascaded Doubly Fed Induction Generator

Performance improvement of a DPC-FPID strategy with matrix converter using CDFIG in wind power system

Optimization of the Powers Exchanged between a Cascaded Doubly Fed Induction Generator and the Grid with a Matrix Converter

Point on Wave Energization Strategy and Sequential Phase Shifting for Sympathetic Inrush Current Mitigation in Three-Phase Transformer – Measurement

Comparative study of tolerant controls used for fault detection in dual-feed machines

Analysis and testing of internal combustion engine driven linear alternator

Improvement of Sliding Mode Control Strategy Founded on Cascaded Doubly Fed Induction Generator Powered by a Matrix Converter

A Fast-Intelligent Sensor Based on Cascade-Forward Neural Network Founded by Resilient Backpropagation for Simultaneous Parameters and State Space Estimation of Brushed DC Machines
Comparing performances of three CFNN used for DC machine combined parameter and states estimation.