Zengcai Ji | Energy | Best Researcher Award

Dr. Zengcai Ji | Energy | Best Researcher Award

Associate research fellow at School of Renewable Energy, Inner Mongolia University of Technology, China.

Zengcai is an Associate Research Fellow at the School of Renewable Energy, Inner Mongolia University of Technology 🇨🇳. With a strong commitment to sustainable energy, his research explores thermal energy storage 🔥, low-carbon combustion of coal and biomass ♻️, and pollutant emission control 🌱. He actively contributes to China’s dual carbon goals by advancing clean and flexible energy technologies. Ji has authored and co-authored ten SCI-indexed publications in top-tier journals including Fuel Processing Technology and Chemical Engineering Science 📚. He currently leads a strategic university project on thermal energy storage systems, focusing on performance optimization and adaptability under fluctuating loads ⚙️. Ji is dedicated to interdisciplinary approaches combining combustion science, heat transfer, and environmental engineering 🌍. Though early in his career, his research has already contributed valuable insights into sustainable energy transformation, making him a rising talent in the clean energy sector 🚀.

Professional Profile 

Scopus

Suitability For Best Researcher Award – Dr. Zengcai Ji 

Zengcai Ji is a highly promising researcher whose work significantly advances the field of sustainable energy, particularly in thermal energy storage and clean combustion technologies. His leadership in a strategic university project focused on optimizing thermal storage systems under variable load conditions addresses critical challenges in integrating renewable energy sources. Ji’s research on low-carbon coal and biomass combustion, coupled with effective pollutant emission control, aligns directly with China’s dual carbon goals and global sustainability efforts. With ten first-author publications in prestigious SCI-indexed journals, he has demonstrated strong scientific rigor and innovation early in his career. His interdisciplinary approach, combining combustion science, heat transfer, and environmental engineering, equips him with the tools to deliver impactful solutions for clean energy transitions. Although still early in his professional journey, Ji’s technical expertise, research leadership, and contribution to national projects make him an outstanding candidate for recognition as a best researcher in the clean energy domain.

Education 

Zengcai Ji holds a Ph.D. in Engineering 🎓, where his research focused on clean combustion and energy systems optimization 🔥⚙️. During his doctoral studies, he participated in several national-level programs on low-emission combustion and the flexible operation of circulating fluidized bed (CFB) boilers in China 🇨🇳. His academic background is firmly grounded in mechanical and thermal energy engineering 🔧🌡️, with an emphasis on sustainable development and environmental protection 🌿. His advanced studies have provided him with solid expertise in modeling, system integration, and pollutant control technologies, all vital for transitioning to cleaner energy systems 🌍. Through hands-on experiments and theoretical work, Ji developed a comprehensive understanding of combustion dynamics and energy conversion processes, building a strong foundation for his research career 📘💡.

Experience 

Zengcai Ji currently serves as an Associate Research Fellow at the School of Renewable Energy, Inner Mongolia University of Technology 🏫. He has led and contributed to research in thermal energy storage and clean coal combustion 🔥⚡. His experience includes hands-on experimental work with circulating fluidized bed (CFB) systems and low-emission combustion technologies 🧪🌀. Ji has authored multiple first-author publications in SCI journals and played a key role in a university-level strategic project focusing on novel thermal storage technologies and system adaptability under variable load conditions 🧰📈. Earlier in his career, he contributed to national research programs involving emission reduction and power plant flexibility 🔄🌫️. Although he has not yet engaged in industry consulting or patenting, his academic experience demonstrates a strong trajectory of technical problem-solving and applied thermal system research 🔍🔬.

Professional Development 

Zengcai Ji has actively developed his professional capabilities through academic leadership and research involvement in strategic energy projects 🔋📚. Currently leading a university-funded initiative on thermal energy storage system design and optimization, he is enhancing his expertise in experimental setups, multi-physics modeling, and thermo-mechanical analysis 🛠️🧠. His consistent publication in high-impact SCI journals demonstrates a growing presence in the global research community 🌐🖋️. Although he has not yet taken on editorial roles or obtained patents, his contributions to national research programs during his Ph.D. provided valuable experience in managing complex, collaborative research tasks 🤝💼. Ji’s development also reflects a clear alignment with national and global sustainability goals, emphasizing innovation in clean energy systems and low-carbon technologies ♻️🌍. As he progresses, expanding his industry engagement and involvement in international research networks will further strengthen his professional profile 🚀🌎.

Research Focus Category 

Zengcai Ji’s research focus lies in the broad domain of renewable energy and environmental engineering 🌱⚡. More specifically, his work contributes to clean combustion technologies, thermal energy storage systems, and solid waste utilization, all vital components in achieving low-carbon energy solutions 🔥♻️. His research supports China’s dual carbon goals and addresses pressing challenges in flexible power plant operations, NOx emission control, and resource efficiency 🌍🏭. By focusing on the performance optimization of circulating fluidized bed (CFB) boilers and thermal storage-assisted systems, Ji is developing practical technologies for integrating renewable energy sources and improving fossil fuel system efficiency ⚙️💨. His interdisciplinary research aligns with the energy transition, particularly in promoting sustainable coal and biomass use, making him a contributor to the global shift toward cleaner, more adaptable energy infrastructure 🔋🌐.

Research Skill Category

Zengcai Ji possesses a solid set of research skills in thermal systems engineering, experimental combustion analysis, and multi-physics modeling 🔥🧠. His expertise spans the operation of circulating fluidized bed (CFB) boilers, performance testing of thermal energy storage components, and emission characterization under varying load conditions 🧪🔍. Skilled in designing experimental rigs and evaluating combustion behaviors, he integrates both experimental and theoretical methods to address efficiency and emission issues in power systems 📊⚗️. Ji also applies knowledge of heat transfer, air distribution, and particle transport phenomena—all crucial to optimizing combustion and energy storage systems ⚙️🌡️. While still building experience in computational simulation, his strong hands-on and analytical abilities are evident from his peer-reviewed research contributions. As his career advances, expanding skills in digital twin systems, AI-based optimization, and international collaboration will further enhance his technical edge and global relevance 🌎🚀.

Awards and Honors 

As of now, Zengcai Ji has not reported any formal awards or honors 🏅📉. However, his selection to lead a university-level strategic research project on thermal energy storage represents institutional recognition of his expertise and potential 🏫🎖️. Additionally, his consistent publication as the first author in SCI-indexed journals indicates academic merit and peer recognition within the clean energy research field 📚🌍. His early contributions to national-level research programs during his Ph.D. also highlight the trust placed in his technical abilities at a formative stage of his career 🇨🇳💡. With continued progress, he is a strong candidate for future awards related to sustainable energy, innovation in thermal systems, and early-career research excellence 🥇🌱. As his academic network grows, more formal honors are likely to follow.

Publication Top Notes

Experimental study on the combustion and emission characteristics of thermal storage-assisted load reduction in a circulating fluidized bed

Journal: Fuel Processing Technology

Year of Publication: 2025

Summary:

This paper presents an experimental investigation into the combustion and emission behavior of a circulating fluidized bed (CFB) system that integrates thermal energy storage to assist in load reduction.

Conclusion:

Zengcai Ji exemplifies the qualities of a rising star in clean energy research. His contributions to thermal energy systems, low-carbon combustion, and pollutant mitigation are directly aligned with both national energy strategies and global climate objectives. Although still early in his career, he demonstrates strong leadership, innovation potential, and a well-rounded research portfolio that merit serious consideration for a Best Researcher Award in the clean/renewable energy or environmental engineering domain.

Nordine Quadar | Energy | Best Researcher Award

Mr. Nordine Quadar | Energy | Best Researcher Award

Researcher at Royal Military College of Canada, Canada.

🌍Nordine Quadar is an accomplished researcher and technical leader specializing in electrical and computer engineering, cybersecurity, machine learning, and wireless communications. His expertise spans developing optimized algorithms for hardware-restricted devices, advancing AI capabilities in natural language processing, and enhancing cybersecurity for UAVs and IoT systems. He has a proven ability to balance high-quality research with leadership roles, including project and team management. His contributions are well-documented through an extensive list of publications in high-impact journals and conferences, emphasizing practical applications of machine learning and cybersecurity.

Profile👤

Education 🎓

🎓PhD in Computer Science (2022–2025) – Royal Military College of Canada, focusing on enhancing UAV cybersecurity with edge AI. MASc in Electrical & Computer Engineering (2015–2018) – University of Ottawa, with a thesis on spatial modulation in MIMO-CDMA systems. BASc in Electrical Engineering (2011–2014) – University of Ottawa, specializing in advanced electronic systems and coding.🧬🎓

Experience💼

🩺Cybersecurity Researcher (2023–Present) – Mitacs/Thales: Developed RF fingerprinting techniques for UAV security. Regional Technical Manager (2017–Present) – DC Group: Led teams in high-stakes electrical projects, achieving exceptional client satisfaction. Research Assistant (2022–2023) – Royal Military College of Canada: Advanced automotive network security. Data Scientist Intern (2022–2023) – Xlscout: Enhanced algorithms using NLP for semantic search. 👨‍🔬🌍

Research Interests 🔬

🔬Specializes in Cybersecurity for IoT, UAVs, and AI agents, emphasizing machine learning, NLP, and physical layer security. His work integrates RF Signal Analysis and advanced algorithms to optimize security and communication systems.​ 🌿🧪

Awards and Honors 🏆

🏆Mitacs Accelerate Grant (60,000 CAD) – 2024/2025. Mitacs Accelerate Grant (30,000 CAD) – 2023. DC Group Employee of the Month – 2020. University of Ottawa Excellence Scholarship – 2015-2017​​ 🏆🎉

Conclusion 🔚 

Nordine Quadar is a highly suitable candidate for the Best Researcher Award. His multidisciplinary expertise, combined with his leadership skills and impactful research contributions, make him a strong contender. By continuing to seek recognition and expanding his research collaborations, Nordine can further solidify his status as a leading researcher in his field.

Publications Top Notes 📚

Smart Water Distribution System Based on IoT Networks, a Critical Review

Authors: N. Quadar, A. Chehri, G. Jeon, A. Ahmad

Citations: 23

Year: 2021

Communication and Localization Techniques in VANET Network for Intelligent Traffic System in Smart Cities: A Review

Authors: A. Chehri, N. Quadar, R. Saadane

Citations: 15

Year: 2020

Survey on Localization Methods for Autonomous Vehicles in Smart Cities

Authors: A. Chehri, N. Quadar, R. Saadane

Citations: 14

Year: 2019

Cybersecurity Issues of IoT in Ambient Intelligence (AmI) Environment

Authors: N. Quadar, A. Chehri, G. Jeon, M. M. Hassan, G. Fortino

Citations: 11

Year: 2022

Visual Analytics Methods for Eye Tracking Data

Authors: N. Quadar, A. Chehri, G. Geon

Citations: 6

Year: 2021

IoT-AI/Machine Learning Experimental Testbeds: The Missing Piece

Authors: N. Quadar, M. Rahouti, M. Ayyash, S. K. Jagatheesaperumal, A. Chehri

Citations: 4

Year: 2024

Intrusion Detection Systems in Automotive Ethernet Networks: Challenges, Opportunities, and Future Research Trends

Authors: N. Quadar, A. Chehri, B. Debaque, I. Ahmed, G. Jeon

Citations: 2

Year: 2024

Wireless Security and IoT Device Identification Using RF Fingerprinting and Deep Learning

Authors: N. Quadar, A. Chehri, B. Debaque

Citations: Not yet available

Year: 2024

Permutation Spreading Technique Employing Spatial Modulation for MIMO-CDMA Systems

Authors: N. Quadar, C. D’Amours

Citations: Not yet available

Year: 2018