Said Kardellass | Energy | Best Academic Researcher Award

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Prof. Dr. Said Kardellass | Energy | Best Academic Researcher Award 

Prof. Dr. Said Kardellass | Energy | Professor at Mohammed V University | Morocco

Prof. Dr. Said Kardellass is an accomplished academic and researcher specializing in Thermodynamics, Energetics, and Materials Science, currently serving as a Professor of Higher Education in the Department of Energy and Environmental Engineering at the École Nationale Supérieure d’Arts et Métiers, Université Mohammed V de Rabat, Morocco. He holds a Ph.D. in Thermodynamics and Energetics from Ibn Zohr University, Agadir, where he conducted advanced studies on the thermodynamic modeling and evaluation of equilibrium phase diagrams using the CALPHAD method. Over the years, Prof. Dr. Said Kardellass has built a distinguished academic career marked by his expertise in thermodynamic assessment, phase equilibrium modeling, and ab-initio calculations, with a focus on rare earth elements, ruthenium-based alloys, and energy-efficient materials. His professional experience spans teaching, supervising research projects, and leading scientific collaborations across international institutions, contributing significantly to advancements in materials design and energy optimization. His research interests include energy systems engineering, alloy thermodynamics, computational materials science, and environmental energy efficiency. With remarkable skills in data analysis, simulation modeling, and research methodologies, Prof. Dr. Said Kardellass has published extensively in leading international journals indexed in Scopus and Web of Science, including Calphad, Journal of Phase Equilibria and Diffusion, and Materials Today: Proceedings. Recognized for his academic excellence, he has received multiple distinctions and has participated in international conferences and collaborative projects focused on energy innovation and sustainable materials development. His contributions to higher education, mentorship, and scientific progress continue to inspire new generations of engineers and researchers. In conclusion, Prof. Dr. Said Kardellass stands as a highly respected scholar whose commitment to advancing thermodynamic science, promoting interdisciplinary collaboration, and fostering global academic engagement defines his exceptional professional legacy.

Profile: Google Scholar

Featured Publications 

  1. Idbenali, M., Kardellass, S., Feddaoui, M., & Selhaoui, N. (2023). Calphad-type description of sugar alcohols potential candidate as phase change material. Calphad, 83, 102638. (Citations: 14)

  2. Kardellass, S., Corvalan-Moya, C., & Vassiliev, V. (2023). Thermodynamic modeling of the (Ce and Sm)-Ru binary systems based on linear, exponential, and combined models aided by ab-initio calculations. Journal of Phase Equilibria and Diffusion, 44, 300–323. (Citations: 11)

  3. Kardellass, S., Vassiliev, V., Mahdouk, K., Laaroussi, N., & Selhaoui, N. (2023). Excess thermodynamic properties of solutions in Ln-Ru (Ln = Nd, Gd, Dy) binary systems based on quadratic, exponential and combined models supported by ab-initio calculations. Journal of Phase Equilibria and Diffusion, 44, 43–75. (Citations: 9)

  4. Bendarma, A., Garouge, S. E., Rusinek, A., Akhzouz, H., Kardellass, S., Bouslikhane, S., & Minor, H. E. (2022). The behaviour of aluminum alloy 1050 sheet subjected to impact and perforation process: Experimental and numerical approaches. Materials Today: Proceedings, 52, 40–44. (Citations: 18)

  5. Bendarma, A., Gourgue, H., Jankowiak, T., Rusinek, A., Kardellass, S., & Klosak, M. (2020). Perforation tests of composite structure specimens at wide range of temperatures and strain rates—Experimental analysis. Materials Today: Proceedings, 24, 7–10. (Citations: 22)

  6. Boukideur, M. A., Selhaoui, N., Alaoui, F. Z. C., Iddaoudi, A., Achgar, K., & Kardellass, S. (2020). Thermodynamic assessment of the Ho–Ga system. Journal of Thermal Analysis and Calorimetry, 139, 3623–3633. (Citations: 16)

  7. Kardellass, S., Servant, C., Drouelle, I., Chrifi-Alaoui, F. Z., Idbenali, M., Abahazem, A., Hidoussi, A., Bendarma, A., & Selhaoui, N. (2020). Calphad-type assessment of the Pd–Yb binary system supported by first-principles calculations – Part II: Results. Materials Today: Proceedings, 24, 140–150. (Citations: 20)

 

Tirupati Rao | Renewable Energy | Best Researcher Award

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Dr. Tirupati Rao | Renewable Energy | Best Researcher Award

Dr. Tirupati Rao | Renewable Energy – Senior Design Process Engineer at Fichtner Consulting Engineers Private Ltd, India

Dr. Tirupati Rao V is a distinguished researcher and energy systems engineer whose work has significantly contributed to the advancement of energy sustainability in India and abroad. With a keen focus on green hydrogen, solar thermal energy, and integrated renewable systems, he has built a multidisciplinary portfolio that spans academic research, engineering design, and international collaboration. As a former Internal Full-Time Research Fellow at VIT and currently a Senior Design Engineer at Fichtner Consulting Engineers India Pvt. Ltd., he demonstrates exceptional leadership in both theoretical innovation and practical application. His contributions include the development of photovoltaic thermal (PVT) systems, optimization of green fuel production processes, and detailed feasibility studies for industrial-scale renewable energy projects.

Academic Profile

Google Scholar  | ORCID |  Scopus

Education

Dr. Rao completed his Ph.D. in Thermal & Energy Engineering at Vellore Institute of Technology (VIT), Vellore, where his research focused on experimental investigation of photovoltaic/thermal systems using bi-symmetrical web flow thermal absorbers. He earned his Master of Technology in Thermal Engineering from Adarsh College of Engineering under JNTU Kakinada, where he studied heat transfer enhancement using conical-ring and twisted tape inserts, graduating with a distinction. His Bachelor of Technology in Mechanical Engineering, also under JNTU Kakinada, included a thesis on the design and analysis of propeller blades, solidifying his early interest in applied mechanical systems.

Professional Experience

Dr. Rao currently serves as a Senior Design Engineer at Fichtner Consulting Engineers India Pvt. Ltd., where he manages engineering design and techno-economic studies for green hydrogen, green ammonia, and energy storage projects. Prior to this, he worked as a Research Analyst at IRADe, New Delhi, and held multiple academic roles including Researcher at VIT University, Assistant Professor at Gonna Institute of Technology & Management, and Lecturer at GIET Polytechnic College. His multidisciplinary experience covers industrial-scale project execution, academic teaching, and research-based innovation. His engineering contributions include detailed reports and pre-bid consultations for entities like Sembcorp, EY Mahagenco, AM Green, and Maruti Suzuki.

Research Interests

Dr. Rao’s research focuses on green hydrogen generation, compressed biogas (CBG) feasibility, photovoltaic thermal systems, solar energy utilization, and phase change materials (PCM) for heat storage. He specializes in renewable energy modeling, hourly solar/wind profile analysis, electrolyzer sizing and optimization, green fuel synthesis, and thermal energy system simulation. His broader interests encompass carbon credit analysis, system modeling using SAM and MESSAGE software, and life-cycle assessments of energy technologies.

Awards and Recognition

Dr. Rao is the recipient of the Raman Research Award (RRA) in both 2021 and 2022, awarded for his high-quality publications in SCOPUS and Web of Science indexed journals. Additionally, he and his PhD supervisor won the SEED Grant in 2020 for groundbreaking work on solar photovoltaic thermal energy systems. He has earned the NPTEL Elite+ Silver Certificate in Solar Energy Engineering and has served as a reviewer for prestigious journals such as IEEE Transactions on Transportation Electrification and Energy Sources Part A.

Key Publications 📚

  1. 📘 “Green Hydrogen Generation from Wind Energy Resource for an Indian Region” – Renewable Energy, 2025, cited by 10+ articles.
  2. 🚗 “Vehicle-Integrated PV in Indian Highways: An Empirical Assessment” – Energy, 2025, cited by 7+ articles.
  3. 🌞 “Embodied Energy & CO2 Emission Analysis of Stand-Alone Crystalline PVT Systems” – Sustainable Cities and Society, 2022, cited by 35+ articles.
  4. 💧 “Thermal Analysis of Hybrid PVT Water Collector with LHTES” – Journal of Energy Storage, 2022, cited by 40+ articles.
  5. 🧮 “Exergo-Economic and CO2 Analysis of Bi-Symmetrical PVT System” – Journal of Energy Resources Technology, 2023, cited by 12+ articles.
  6. 🌿 “Review on PVT Collector Systems with Absorber Configurations” – Energy & Environment, 2021, cited by 45+ articles.
  7. 🔋 “Experimental 3E Analysis on Web Flow PVT System” – Solar Energy, 2024, cited by 20+ articles.

Conclusion

With over 9 high-impact journal publications, 2 patents, a cumulative impact factor exceeding 60, and active collaborations across institutions in Malaysia, Brunei, and India, Dr. Tirupati Rao V has emerged as a leading expert in renewable energy systems and sustainability-focused engineering. His ability to translate complex technical insights into scalable engineering solutions demonstrates his readiness for high honors such as the Best Researcher Award. In addition to his research achievements, Dr. Rao’s consulting and design leadership roles across multiple high-stake renewable energy projects reinforce his practical contributions to industry transformation. His combined expertise, dedication, and innovative thinking make him an exemplary candidate for recognition and continued support in advancing global sustainable energy goals.

Roda Bounaceur | Energy | Best Researcher Award

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Mr. Roda Bounaceur | Energy | Best Researcher Award

Mr. Roda Bounaceur | Energy – Reactions and Process Engineering Laboratory (LRGP) at France


Roda Bounaceur is a highly accomplished Research Engineer 1st Class at the French National Centre for Scientific Research (CNRS), currently affiliated with the Laboratory of Reactions and Process Engineering (LRGP UMR 7274) at the University of Lorraine. With over two decades of expertise in process engineering, kinetic modeling, and combustion chemistry, he has made enduring contributions to both academic and industrial advancements. His career is distinguished by a rare blend of deep theoretical knowledge and impactful industrial collaboration, particularly in the modeling of complex chemical reactions, pollutant reduction, and thermal stability of hydrocarbons.

Profile Verified 

ORCID | Scopus

Education

Dr. Bounaceur holds a PhD in Process Engineering and Chemical Engineering from the Institut National Polytechnique de Lorraine (INPL), awarded in 2001 for his groundbreaking work on the kinetic modeling of petroleum thermal evolution in oil reservoirs. His doctoral research was conducted in partnership with Total Exploration Production and earned high academic distinction, receiving the “mention très honorable avec les félicitations du jury.” He also holds a DEA (equivalent to MSc) in Process Engineering from INPL, with a focus on thermodynamic property estimation software, and an engineering degree in Chemical Engineering from ENSIC Nancy, completed in 1993.

Professional Experience

Since 2005, Dr. Bounaceur has served as a Senior Research Engineer at CNRS, leading multiple high-impact projects at LRGP. His responsibilities include advanced scientific computing, artificial intelligence integration into chemical modeling, and simulation of industrial-scale reactors. Previously, between 2001 and 2004, he worked as a contract research engineer at PROGEPI, where he spearheaded R&D projects for industrial partners, focusing on pyrolysis, hydrocarbon oxidation, and computational modeling. His engineering insights are routinely applied to solve real-world challenges in the chemical industry.

Research Interests

Dr. Bounaceur’s research revolves around combustion kinetics, pollutant formation, and the optimization of thermal processes. He is particularly known for his detailed kinetic modeling of biomass combustion, pyrolysis of high-pressure fluids, and the simulation of pollutant emissions in domestic heating systems. His interests extend to the development of computational tools for reaction modeling, as well as the implementation of artificial intelligence in chemical process simulation. His interdisciplinary expertise bridges the gap between laboratory research and industrial application.

Awards and Recognition

While specific awards are not listed, Dr. Bounaceur’s academic credentials, peer-reviewed contributions, and sustained leadership in collaborative research with institutions such as TOTAL, CSTB, and IFP Energies Nouvelles underscore his reputation as a trusted scientific authority. His work has influenced national research priorities in sustainable energy and environmental protection.

Selected Publications 📚

Dr. Bounaceur has published over 90 peer-reviewed journal articles, with a notable h-index of 30, reflecting the scientific impact of his work. Below are selected highlights:

  • 🔥 “Detailed kinetic modeling of biomass combustion in domestic appliances” (2019, Energy & Fuels) – Cited by 87 articles, this work aids emission reduction strategies in residential heating.
  • ⚛️ “Pyrolysis of alkyl-cyclanes under high-pressure/high-temperature conditions” (2016, Journal of Analytical and Applied Pyrolysis) – Cited by 64 articles; vital for petroleum refining and fuel stability.
  • 🌍 “Modeling pollutant formation during wood combustion: A kinetic approach” (2015, Combustion and Flame) – Cited by 102 articles; supports environmental policy development.
  • 🛢️ “Maximum carbon number for GC analysis of heavy hydrocarbons” (2013, Fuel) – Cited by 58 articles; improved oil analysis standards.
  • 🔬 “Kinetic modeling of hydrocarbon oxidation in industrial reactors” (2012, Industrial & Engineering Chemistry Research) – Cited by 70 articles; supports reactor optimization.
  • 💨 “1D/3D modeling of combustion and pollutants in exhaust systems” (2009, Energy Conversion and Management) – Cited by 93 articles; improves vehicle emission control.
  • 🪐 “Photochemistry of hot exoplanets: modeling and experiments” (2012, Astrophysical Journal) – Cited by 120 articles; intersects astrochemistry and atmospheric science.

Conclusion

Dr. Roda Bounaceur is a leading figure in process and chemical reaction engineering, whose research has significantly advanced the understanding of complex thermal and chemical systems. Through his collaborations with industrial giants, mentorship of doctoral candidates, and prolific academic output, he embodies the highest standards of scientific excellence and practical impact. His contributions continue to shape the future of clean energy, advanced combustion systems, and computational modeling in chemical engineering.

Licheng Zhang | Energy | Best Researcher Award

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Dr. Licheng Zhang | Energy | Best Researcher Award

Dr. Licheng Zhang | Energy – Senior Engineer at Chang’an University, China.

Zhang Licheng is a Senior Engineer at Chang’an University, specializing in traffic information engineering and control. He holds a solid academic foundation in computer science and technology, and his work has led to groundbreaking advances in the modeling of fuel consumption and driving behavior. Zhang pioneered a fuel consumption prediction model that incorporates vehicular jerk, improving the accuracy of previous models. His research has significant implications for the development of energy-efficient driving behaviors, particularly for autonomous vehicles. His projects on intelligent vehicle motion planning, speed optimization, and ecological driving further emphasize his contribution to sustainable transport solutions.

Profile Verification

Scopus | Orcid | Google Scholar

Education

🎓Zhang Licheng completed his undergraduate degree in computer science and technology, followed by a master’s and doctoral degree in traffic information engineering and control. During his academic journey, Zhang explored how driving behavior influences fuel consumption and developed innovative prediction models. His doctoral research focused on advancing the understanding of vehicle dynamics and control strategies, particularly energy-saving driving behaviors. Zhang’s work integrated multi-source traffic information to improve vehicle motion planning, speed optimization, and energy efficiency, leading to the design of more reliable and energy-efficient vehicle systems. His educational background laid the foundation for his contributions to smart vehicle technologies, particularly in energy consumption modeling, eco-driving strategies, and vehicle behavior optimization. Zhang’s research emphasizes the importance of interdisciplinary collaboration, particularly between computer science, engineering, and automotive technologies, to develop solutions for energy-efficient driving in modern intelligent vehicles.

Experience

Zhang Licheng is a Senior Engineer at Chang’an University, where he works on developing and optimizing energy-efficient driving behaviors for intelligent vehicles. He has actively participated in several research projects funded by both the National Natural Science Foundation of China and the Ministry of Science and Technology of the People’s Republic of China. Zhang has a wealth of experience in designing predictive models for fuel consumption and optimizing vehicle control strategies in various driving conditions. As part of his industry collaborations, he has worked on advanced projects like automated driving simulations, digital twin evaluations, and motion planning methods for intelligent vehicles. Zhang’s work contributes to the development of connected vehicle technologies and the creation of tools that balance efficiency and energy savings in urban roads. His expertise also extends to real-time traffic information integration, making it possible to optimize speed and driving behavior dynamically.

Research Interests

🔬Zhang Licheng’s primary research focus is on the relationship between driving behavior and fuel consumption, particularly in the context of intelligent and connected vehicles. His work aims to optimize energy-efficient driving behaviors and improve fuel prediction models by accounting for vehicular jerk, which helps represent driving behavior more accurately. He is dedicated to advancing energy consumption models and creating strategies that balance efficiency and energy use in urban roads and autonomous vehicles. Zhang’s research also integrates multi-source traffic information, focusing on how it can improve vehicle motion planning, energy-saving strategies, and ecological driving. Additionally, he is involved in projects that explore the use of digital twins and automated driving simulations for testing and evaluating intelligent vehicle systems. Zhang is working towards developing more reliable machine learning models to ensure the safety, efficiency, and sustainability of energy-efficient driving behaviors, especially in the age of autonomous vehicles.

Awards

🏆Zhang Licheng has received multiple honors for his research contributions in traffic engineering and intelligent vehicle technologies. Notably, he has been recognized for his pioneering work in energy-saving driving behaviors, where his models significantly improved fuel consumption predictions. He has also made notable contributions to the optimization of electric vehicle performance, and his research on intelligent vehicle motion planning methods has garnered substantial recognition within the field. Zhang’s work on integrating multi-source traffic information for ecological driving in connected vehicles has earned him funding from both local and national scientific programs, further enhancing his reputation as a leading researcher in his area. His achievements in energy consumption modeling and optimization strategies for autonomous vehicles have earned him accolades in both academic and industry circles. Zhang has been widely recognized for his impactful contributions to the development of more sustainable and energy-efficient vehicle systems.

Publications

New innovations in pavement materials and engineering: A review on pavement engineering research

Authors: JE Office, J Chen, H Dan, Y Ding, Y Gao, M Guo, S Guo, B Han, B Hong, …

Citations: 151

Year: 2021

Improved watershed analysis for segmenting contacting particles of coarse granular soils in volumetric images

Authors: Q Sun, J Zheng, C Li

Citations: 60

Year: 2019

Highway constructions on the Qinghai-Tibet Plateau: Challenge, research and practice

Authors: A Sha, B Ma, H Wang, L Hu, X Mao, X Zhi, H Chen, Y Liu, F Ma, Z Liu, …

Citations: 55

Year: 2022

Material characterization to assess effectiveness of surface treatment to prevent joint deterioration from oxychloride formation mechanism

Authors: X Wang, S Sadati, P Taylor, C Li, X Wang, A Sha

Citations: 44

Year: 2019

Mechanistic-based comparisons of stabilised base and granular surface layers of low-volume roads

Authors: C Li, JC Ashlock, DJ White, PKR Vennapusa

Citations: 38

Year: 2019

Improvement of Asphalt-Aggregate Adhesion Using Plant Ash Byproduct

Authors: Z Liu, X Huang, A Sha, H Wang, J Chen, C Li

Citations: 36

Year: 2019

Morphology-based indices and recommended sampling sizes for using image-based methods to quantify degradations of compacted aggregate materials

Authors: C Li, J Zheng, Z Zhang, A Sha, J Li

Citations: 34

Year: 2020

In situ modulus reduction characteristics of stabilized pavement foundations by multichannel analysis of surface waves and falling weight deflectometer tests

Authors: C Li, JC Ashlock, S Lin, PKR Vennapusa

Citations: 34

Year: 2018

Mechanistic-based comparisons for freeze-thaw performance of stabilized unpaved roads

Authors: C Li, PKR Vennapusa, J Ashlock, DJ White

Citations: 32

Year: 2017

Influence of water on warm-modified asphalt: Views from adhesion, morphology and chemical characteristics

Conclusion

Zhang Licheng’s innovative research in energy-efficient driving behaviors and intelligent vehicle control, coupled with his strong academic background and real-world applications, positions him as a strong candidate for the Best Researcher Award. His work on fuel consumption models and the optimization of energy use in autonomous vehicles has not only contributed significantly to his field but also holds potential for transformative impacts on global transportation systems. Zhang’s accomplishments, coupled with his dedication to improving the automotive industry, make him a deserving nominee for this prestigious recognition.