Ziyu Liu | Emission Control Technologies | Research Excellence Award

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Assoc. Prof. Dr. Ziyu Liu | Emission Control Technologies | Research Excellence Award

Beihang University  | China

Assoc. Prof. Dr. Ziyu  Liu is a post‑doctoral research scientist in the Department of Physics at Columbia University, where he works in the Dean Lab, specializing in experimental condensed‑matter physics. His research centers on correlated phases in quantum materials, investigated through electronic transport measurements and optical spectroscopy. His interests span phenomena such as collective excitations and phase interplay in the fractional quantum Hall effect, engineering the band structure of materials via superlattice potential modulations, and developing next‑generation quantum devices using van der Waals heterostructures. Over recent years he has contributed to key experimental advances: for example, his work demonstrated high‑mobility monolayer semiconductor devices facilitating access to correlation-driven quantum phases at low charge density; he has also explored dynamic interfacial quantum dipoles in two-dimensional heterostructures, revealing a novel mechanism for hysteretic gate responses in graphene/BN-based devices — with potential implications for nanoelectronic memory and quantum‑device design. His approach combines precision device fabrication, low-temperature transport measurements, and spectroscopic techniques to probe subtle many-body effects in quantum materials. Through these efforts he advances understanding of how quantum interactions and material engineering can produce emergent quantum phenomena; his work contributes both fundamental insight into condensed-matter physics and practical pathways toward advanced quantum technologies. In conclusion, Ziyu Liu stands out as an experimental physicist bridging materials engineering, quantum‑many body physics, and device innovation — helping to push the frontier of quantum materials research through rigorous experimentation and inventive design. He has achieved 691 Citations, 59 Documents, 14 h‑index.

 Profiles:  Scopus | Research Gate

Featured Publications

Liu, Z., et al. (2026). Decoding cetane number law of key aviation fuel components: From structure–property relationships to reaction pathway analysis.

Liu, Z., et al. (2025). Microalgae biorefinery in the belt and road initiative: Opportunities for green growth.

Liu, Z., et al. (2025). Synergistic remediation of Cd-contaminated soil with biochar-sulfate reducing bacteria: Differential roles of straw- and sludge-derived biochars. Journal of Hazardous Materials.

Liu, Z., et al. (2025). Phenylboronic Acid-Modified and ROS-Responsive Polymeric Nanoparticles for Targeted Anticancer Drug Delivery. ACS Applied Nano Materials.

Liu, Z., et al. (2025). Carbon dots for reactive oxygen species modulation.

Ziyu Liu research establishes a strong scientific foundation for cleaner, more efficient aviation by linking hydrocarbon molecular structures with their ignition performance. By developing a benchmark cetane-number database and decoding structure–property–reaction pathways, the work advances the design of both traditional and sustainable aviation fuels. It improves combustion safety, enhances engine reliability, and supports global innovation in low-emission, high-performance aerospace energy systems. The vision is to accelerate the transition toward cleaner aviation through intelligent fuel engineering grounded in molecular science.

 

Ayşe Tuğba Yapıcı | Electric Vehicles | Best Research Article Award

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Ms. Ayşe Tuğba Yapıcı | Electric Vehicles | Best Research Article Award

Doctoral Researcher  |  Kocaeli University  |  Turkey

Ms. Ayşe Tuğba Yapıcı is a dedicated doctoral researcher whose academic journey is strongly rooted in cutting-edge technologies for electric vehicles, smart energy systems, and intelligent power electronics. She has cultivated significant professional experience through her active involvement in research addressing real-world problems such as electric vehicle charging optimization, grid-integrated charging infrastructures, and advanced modeling of power converter systems. Throughout her career, she has contributed to impactful scientific studies focusing on induction heating systems, charging time prediction using deep learning, and data-driven forecasting on electric vehicle adoption and infrastructure planning. Her research interests include electric vehicle technologies, charging station design, renewable-integrated smart grids, artificial intelligence–based energy forecasting, machine learning and deep learning applications in power systems, and IoT-enhanced smart mobility frameworks. She possesses strong research skills in Python-based deep learning toolkits, MATLAB/Simulink, DigSilent PowerFactory modeling, statistical evaluation metrics, time-series forecasting, optimization algorithms, and performance analysis of intelligent systems. She has published multiple peer-reviewed articles in international SCI/Scopus-indexed journals, delivering innovative research outcomes that offer comprehensive and practical solutions for the sustainable development of electric transportation. Her research achievements include proposing an intelligent deep learning–based framework for EV charging time prediction, integrating spatial–temporal mobility parameters, and enhancing operational efficiency for fast-charging infrastructures. Her work stands out for its interdisciplinary approach and technological significance, supporting the transition toward cleaner mobility, optimized charging networks, and smart energy management. In addition to research excellence, she continues to contribute to academic and scientific communities through conference participation, collaborations, and knowledge dissemination. She aims to advance secure, intelligent, and scalable charging automation systems that support next-generation autonomous electric mobility. Her long-term vision is to shape energy-efficient transportation ecosystems, reduce environmental impacts, and contribute to the global sustainability agenda through innovation and scientific leadership. She has achieved  3 Citations , 2 Documents,  1 h-index.

Featured Publications

Yapıcı, A. T., & Abut, N. (2025, November 23). An intelligent and secure IoT-based framework for predicting charging and travel duration in autonomous electric taxi systems. Applied Sciences.

Yapıcı, A. T., Abut, N., & Yıldırım, A. (2025, October 27). Estimation of future number of electric vehicles and charging stations: Analysis of Sakarya Province with LSTM, GRU and multiple linear regression approaches. Applied Sciences.

Yapıcı, A. T., & Abut, N. (2025, August 21). Geleceğe yönelik elektrikli araç ve şarj istasyonu sayılarının LSTM ve GRU derin öğrenme yöntemleri kullanılarak tahmin edilmesi: Kocaeli ili örneği. Politeknik Dergisi.

Yapıcı, A. T., Abut, N., & Erfidan, T. (2025, April 11). Comparing the effectiveness of deep learning approaches for charging time prediction in electric vehicles: Kocaeli example. Energies.

Yapıcı, A. T., & Abut, N. (2024, September 15). Elektrikli araç şarj istasyonu konum tasarımında, Digsilent yazılımı kullanılarak Kocaeli Üniversitesi Umuttepe Kampüsü için örnek uygulama. Black Sea Journal of Engineering and Science.

Ayşe Tuğba Yapıcı’s research advances intelligent and sustainable electric mobility by integrating deep learning, smart grid technologies, and IoT-based predictive frameworks to optimize charging infrastructure and energy management. Her work supports the transition toward autonomous electric transportation, reducing environmental impacts, improving urban mobility planning, and contributing to global innovation in smart energy systems. She envisions scalable, reliable, and human-centered smart mobility ecosystems that accelerate the adoption of clean transportation worldwide.

Ikram Moulay | Emission Control Technologies | Best Researcher Award

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Dr. Ikram Moulay | Emission Control Technologies | Best Researcher Award

Research Associate | King Fahd University of Petroleum and Minerals | Saudi Arabia

Dr. Ikram Moulay is a dedicated researcher with extensive experience across carbon capture, environmental remediation, inorganic crystallization, and sustainable process development, contributing significantly to advanced NOx/CO₂ capture systems, industrial waste valorization, and integrated CCUS technologies. Her professional experience spans the design and modeling of pilot-scale capture systems, development of high-value fertilizers, creation of real-time crystallization rigs, analysis of nucleation and growth mechanisms, and the formulation of novel amine-looping pathways for energy-efficient reactions, supported by strong expertise in mineralization, adsorption, and materials characterization using XRD, SEM, FT-IR, ICP, TGA, and particle analysis. Her research interests include sustainable CO₂ and NOₓ mitigation technologies, advanced sorbent development, inorganic crystallization kinetics, circular-economy-driven materials production, and techno-economic assessment of industrial-scale environmental systems. She brings strong research skills in process modeling, experimental design, analytical characterization, computational evaluation, and the conversion of industrial residues into high-value products, supported by proficiency in Aspen HYSYS, MATLAB, OriginPro, SigmaPlot, and other engineering tools. Her work has been recognized through multiple awards for outstanding presentations, academic excellence, and environmental research contributions. With publications in high-impact journals covering topics such as CO₂ mineralization, brine-based CCUS systems, nano-CaCO₃ synthesis, sorbent development, and sustainable waste utilization, she continues to expand her contributions to environmentally responsible technologies. Overall, her professional trajectory highlights a strong commitment to advancing next-generation solutions for climate mitigation and resource sustainability. She has achieved  28 Citations, 3 Documents, 2 h-index.

Featured Publications

Moulay, I., Park, J., & Yoo, Y. (2023). Synthesis of nano-sized calcium carbonates employing molecular effect on CO₂ conversion via biodegradable chelating-system. Chemical Engineering Journal, 474, 145281.

Jang, K., Choi, W. Y., Moulay, I., Lee, D., & Park, J. (2023). Strong acid-mediated Ca²⁺ extraction–CO₂ mineralization process for CO₂ absorption and nano-sized CaCO₃ production from cement kiln dust: Simultaneous treatment of CO₂ and industrial residues. Journal of Environmental Chemical Engineering, 111746.

Jang, K., Moulay, I., Lee, D., Myung, J., Oh, S., Kim, S. H., Choi, W. Y., & Park, J. (2024). Sustainable conversion of oyster shell waste into high-purity calcium carbonate via CO₂ mineralization. Journal of Environmental Chemical Engineering, 115099.

Park, J., Choi, W. Y., Jang, K., Lee, S., Kim, E., Moulay, I., Myung, J., Oh, S., Yoo, Y., … (2024). Experimental and integrated computational study on CCUS technology utilizing desalinated brine. Communications Engineering.

Moulay, I., & Jang, K. (2025). Sustainable approaches to NOx emissions: Capture and utilization technologies. Next Energy, 8, 100356.

Ikram Moulay’s research advances global sustainability by transforming industrial waste streams into high-value carbonates and developing next-generation CO₂/NOx mitigation technologies. Her work bridges fundamental chemical engineering with scalable industrial solutions, contributing directly to climate action, clean manufacturing, and circular economy innovations.

 

Manoj Kumar Singh | Thermal Management Systems | Best Researcher Award

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Dr. Manoj Kumar Singh | Thermal Management Systems | Best Researcher Award

Postdoctoral Fellow | Institute of Physics, Academia Sinica | Taiwan

Dr. Manoj Kumar Singh is an accomplished experimental high-energy physicist whose work spans neutrino physics, dark matter searches, detector development, and coherent neutrino–nucleus interactions, contributing significantly to global efforts in understanding physics beyond the Standard Model. His professional experience includes impactful postdoctoral research within the TEXONO Collaboration at Academia Sinica, where he has led analyses in low-threshold germanium detector technology, background reduction strategies, and novel pulse-shape discrimination methods that enhance rare-event detection capabilities. His research interests encompass neutrinoless double-beta decay, dark matter phenomenology, coherent elastic neutrino–nucleus scattering, HPGe detector optimization, gaseous detector technologies, and cryogenic systems for rare-event experiments. His research skills span detector characterization, GEANT4 simulations, ROOT-based data analysis, hardware integration, background modeling, sensitivity projections, and the development of statistical frameworks for discovery-potential estimation. His awards and honors reflect his scientific excellence, including recognition for groundbreaking analyses in neutrino scattering, prestigious national innovation awards, fellowships, and best-paper distinctions that underscore his leadership in high-precision instrumentation and subatomic particle detection. Across multiple collaborations and global research programs, he has contributed to advancing the frontier of low-energy rare-event detection, producing influential studies that strengthen the theoretical and experimental foundations for next-generation neutrino and dark matter experiments. His work demonstrates a deep commitment to advancing detector technologies with societal relevance, including medical imaging, nuclear safety, and environmental monitoring. Through continuous innovation, international engagement, and strategic scientific vision, he continues to shape the future of experimental particle physics and its applications. He has achieved 289 Citations, 34 Documents, 9h−index.

Profiles:  Google Scholar  |  Scopus | ORCID | Research Gate

Featured Publications 

Jiang, H., Jia, L. P., Yue, Q., Kang, K. J., Cheng, J. P., Li, Y. J., Wong, H. T., Agartioglu, M., … (2018). Limits on light weakly interacting massive particles from the first data of the CDEX-10 experiment.Physical Review Letters, 120(24), 241301. Citations: 225

Liu, Z. Z., Yue, Q., Yang, L. T., Kang, K. J., Li, Y. J., Wong, H. T., Agartioglu, M., An, H. P., … (2019).Constraints on spin-independent nucleus scattering with sub-GeV weakly interacting massive particle dark matter from the CDEX-1B experiment at the China Jinping Underground Laboratory.Physical Review Letters, 123(16), 161301. Citations: 177

Soma, A. K., Singh, M. K., Singh, L., Kumar, G. K., Lin, F. K., Du, Q., Jiang, H., Liu, S. K., … (2016). Characterization and performance of germanium detectors with sub-keV sensitivities for neutrino and dark matter experiments.Nuclear Instruments and Methods in Physics Research Section A, 836, 67–82. Citations: 103

China Jinping Underground Laboratory Collaboration. (2018). Limits on light WIMPs with a 1-kg-scale germanium detector at 160 eVee physics threshold at the China Jinping Underground Laboratory.Chinese Physics C, 42(2), 023002. Citations: 69

Singh, L., Chen, J. W., Chi, H. C., Liu, C. P., Pandey, M. K., Wong, H. T., Wu, C. P., … (2019). Constraints on millicharged particles with low-threshold germanium detectors at Kuo-Sheng Reactor Neutrino Laboratory.Physical Review D, 99(3), 032009. Citations: 65

The nominee’s work significantly advances global dark matter and neutrino research through high-precision detector development, ultra-low threshold measurements, and rigorous rare-event analyses that shape the future of underground physics experiments. These contributions strengthen scientific understanding, support technological innovation, and enhance applications in radiation safety, medical imaging, and national research infrastructure. Their vision drives breakthroughs that influence fundamental physics while fostering societal and industrial advancements in sensing and detection technologie

 

Gopinath N | Vehicular Communication Systems | Best Researcher Award

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Dr. Gopinath N | Vehicular Communication Systems | Best Researcher Award

Assistant Professor | SRM Institute of Science and Technology | India

Dr. N. Gopinath is an accomplished academic known for his impactful contributions to computational intelligence, where his work spans image processing, machine learning, wireless sensor networks, IoT frameworks, VANET security, and hybrid optimization models, reflecting a research trajectory grounded in both theoretical depth and practical innovation; his professional experience includes more than a decade of research and teaching, during which he has actively contributed to intelligent systems development, data-driven decision architectures, and secure communication models for emerging technologies, consistently publishing in reputed journals and international conferences while engaging in interdisciplinary projects that strengthen the bridge between digital systems and real-world applications; his research interests encompass Image Processing, Machine Learning, Wireless Sensor Networks, Internet of Things (IoT), VANET Security, Cloud and Edge Computing, and Parallel/Optimization Algorithms, while his research skills extend to clustering algorithms, cryptographic security models, deep learning–driven pattern recognition, hybrid metaheuristics, IoT automation frameworks, distributed computing, and intelligent routing protocols; he has demonstrated expertise in developing advanced authentication schemes for vehicular networks, reinforcement-based clustering mechanisms, intelligent agricultural automation systems, and machine-learning-enabled healthcare solutions, highlighting his versatility across multiple computational domains; his scholarly achievements include several peer-reviewed publications, contributions to high-impact conferences, and innovative problem-solving approaches that address challenges in smart systems and communication technologies; he has also been recognized for his academic excellence, research productivity, and contributions to interdisciplinary innovation through various institutional and scholarly acknowledgments; overall, Dr. Gopinath’s work reflects a strong commitment to advancing intelligent digital ecosystems, securing networked environments, and developing sustainable computational solutions, contributing significantly to the evolving landscape of smart and autonomous technologies, and positioning him as a notable researcher whose outputs continue to influence modern computational paradigms. He has achieved  77 Citations, 24 Documents, 4h−index.

Profiles:  Google Scholar  |  Scopus | ORCID

Featured Publications 

Ragunthar, T., Ashok, P., Gopinath, N., & Subashini, M. (2021). A strong reinforcement parallel implementation of K-means algorithm using message passing interface. Materials Today: Proceedings, 46, 3799–3802. Citations: 32

Gopinath, N. (2012). Extraction of cancer cells from MRI prostate image using MATLAB. International Journal of Engineering Science and Innovative Technology. Citations: 23

Saranya, G., Gopinath, N., Geetha, G., Meenakshi, K., & Nithya, M. (2020). Prediction of customer purchase intention using linear support vector machine in digital marketing. Journal of Physics: Conference Series, 1712(1), 012024. Citations: 18

Nithyanandam, G., Ambiyaram, C., & Prabathkumar, S. (2023). An intelligent hybrid prairie dog optimization algorithm-based stable cluster reliable routing scheme for VANETs. International Journal of Communication Systems, 36(14), e5549. Citations: 12

Rubasri, S., & Hemavathi, S. (2022). Cosmetic product selection using machine learning. In Proceedings of the 2022 International Conference on Communication, Computing and Internet of Things (IC3IoT). Citations: 12

Dr. N. Gopinath’s research advances intelligent computing through innovative algorithms, secure communication frameworks, and data-driven decision systems that influence healthcare, digital communication, and smart mobility. His contributions support global innovation by integrating machine learning, IoT, and optimization models to solve complex societal and industry challenges.

Xiaokai Chen | Automobile Engineering | Editorial Board Member

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Assoc. Prof. Dr. Xiaokai Chen | Automobile Engineering | Editorial Board Member

Research Team Leader | Kunming University of Science and Technology | China

Assoc. Prof. Dr. Xiaokai Chen is an accomplished associate professor whose work centers on environmental health and safety in automobile cabins, contributing significantly to advancements in indoor air quality control, vehicle cabin pollution assessment, and the development of intelligent purification and safety systems for transportation environments. His professional experience includes long-term research and teaching in heating, ventilation, and air-conditioning (HVAC) engineering, where he has led multiple scientific projects, secured patents on innovative air-purification and disinfection technologies, and produced influential publications spanning air-pollution exposure, vehicle-cabin ventilation optimization, and safety-oriented engineering design. His research interests focus on vehicular environmental safety, pollutant behavior in transportation microenvironments, ventilation and purification system design, and risk assessment models for airborne contaminants affecting drivers and passengers. He demonstrates strong research skills in experimental testing, HVAC system design, pollutant detection and modeling, vehicle-cabin environmental analysis, and safety-oriented engineering optimization. His portfolio also showcases achievements such as contributing to monographs and textbooks, advising students who earned competitive academic recognitions, and guiding graduate researchers into industry sectors including construction, rail, quality supervision, and automotive manufacturing. In addition, he has provided extensive academic and social service as a technical expert in automotive research institutions, a member of key engineering societies, a reviewer for high-impact international journals, and an evaluator for national research foundations and academic competitions. His awards and honors reflect his contributions to technology innovation, student mentorship, research excellence, and professional service, reinforcing his reputation as a dedicated scholar promoting healthier and safer vehicular environments. Overall, his work bridges engineering innovation and public well-being, offering impactful solutions to real-world environmental health challenges in modern transportation systems, while sustaining active engagement in academic, industrial, and societal development. He has achieved 514 Citations, 14 Documents, 8 h-index.

Profiles:  Google Scholar  |  Scopus | ORCID

Featured Publications 

1.Feng, L., Xuan, Z., Zhao, H., Bai, Y., Guo, J., Su, C., & Chen, X. (2014). MnO₂ prepared by hydrothermal method and electrochemical performance as anode for lithium-ion battery. Nanoscale Research Letters, 9(1), 290. Citations: 239.

2. Xu, B., Chen, X., & Xiong, J. (2018). Air quality inside motor vehicles’ cabins: A review. Indoor and Built Environment, 27(4), 452–465. Citations: 141.

3. Chen, X., Zhang, G., Zhang, Q., & Chen, H. (2011). Mass concentrations of BTEX inside air environment of buses in Changsha, China. Building and Environment, 46(2), 421–427. Citations: 80.

4. Chen, X., Feng, L., Luo, H., & Cheng, H. (2014). Analyses on influencing factors of airborne VOCs pollution in taxi cabins. Environmental Science and Pollution Research, 21(22), 12868–12882. Citations: 52.

5. Feng, L., Xuan, Z., Bai, Y., Zhao, H., Li, L., Chen, Y., Yang, X., Su, C., Guo, J., et al. (2014). Preparation of octahedral CuO micro/nanocrystals and electrochemical performance as anode for lithium-ion battery. Journal of Alloys and Compounds, 600, 162–167. Citations: 38.

The nominee’s research advances scientific understanding of vehicle-cabin air quality and battery-material performance, addressing critical challenges in public health, environmental protection, and energy storage. His work supports cleaner transportation environments and contributes to the development of safer, more sustainable automotive technologies. Through impactful publications and applied innovation, his research drives progress at the intersection of engineering, society, and global well-being.

 

 

Nashir Umirov | Automobile Awards | Editorial Board Member

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Assoc. Prof. Dr. Nashir Umirov | Automobile Engineering | Editorial Board Member

Associate Professor | Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University | Uzbekistan

Assoc. Prof. Dr. Nashir Umirov is an accomplished engineering researcher and academic leader whose work advances the performance, reliability, and thermodynamic behavior of tractors, automobiles, and grain-processing machinery, with a focus on strengthening agricultural mechanization technologies for modern industry. His professional experience spans extensive teaching, research supervision, and applied engineering work, including several years of scientific and editorial engagement that support the development, evaluation, and dissemination of technical innovations. His research interests center on thermal and dynamic properties of vehicles, efficiency enhancement of automotive systems, and the mechanics of grain-crushing processes in industrial crushers, complemented by strong analytical skills in experimental testing, performance modeling, mechanical system optimization, and technology assessment. He has contributed to more than fifteen notable scientific publications and participated in two important research projects aimed at improving agricultural machine operations and advancing environmentally conscious engineering solutions. His research skills include experimental diagnostics, thermal analysis, vibration and dynamic modeling, mechanical system design, and result interpretation for system improvement. Although he is not affiliated with professional societies, he remains an active contributor to engineering scholarship and a committed mentor to emerging specialists. While awards and honors are not listed, his career reflects sustained professional impact and dedication to advancing engineering science. In conclusion, Nashir Umirov continues to enhance the scientific community through consistent research output, practical innovation, and a strong commitment to the evolution of mechanical engineering within the agricultural sector, reflecting the depth of his expertise and the relevance of his contributions to modern mechanization technologies.He has achieved 34 Citations, 14 Documents, 4 h-index.

Profiles:  Google Scholar  |  Scopus | ORCID

Featured Publications 

Umirov, N., Abdurokhmonov, S., Ganiboyeva, E., & Alimova, Z. (2024). Thermal equilibrium of the tractor and vehicle engines’ cooling systems in agriculture technological processes. BIO Web of Conferences, 105, 05020. (5 citations)

Umirov, N., & Abdurokhmonov, S. (2022). On the de-aeration properties of radiators of the cooling system of engines of cars and tractors. Transportation Research Procedia, 63, 149–153. (5 citations)

Alijanov, D., Abdurokhmonov, S., & Umirov, N. (2020). Methods of regulating the work of units at irrigation pumping stations. IOP Conference Series: Materials Science and Engineering, 883(1), 012117. (5 citations)

Li, A., Sultanov, B., Sharipov, Z., & Umirov, N. (2021). Modelling the process of local application of manure under glass crops. IOP Conference Series: Earth and Environmental Science, 868(1), 012008. (4 citations)

Umirov, N., & Abdurokhmonov, S. (2021). Algorithm for calculating finned plate radiators for the cooling system of automobile and tractor engines. IOP Conference Series: Earth and Environmental Science, 868(1), 012002. (3 citations)

Nashir Umirov’s research strengthens agricultural mechanization by improving the thermal stability, efficiency, and reliability of vehicle and engine cooling systems essential for modern farming. His engineering innovations support sustainable agricultural productivity, reduced energy losses, and enhanced performance of critical agro-industrial machinery. His vision contributes to a future where smarter mechanical systems drive global food security and technological resilience.

Shavkatjon Abdurakhmonov | Automobile Engineering | Editorial Board Member

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Assoc. Prof. Dr. Shavkatjon Abdurakhmonov | Automobile Engineering | Editorial Board Member

Associate Professor | Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University | Uzbekistan

Dr. Abdurakhmanov Shavkatjon Khasanovich is a distinguished Associate Professor and PhD scholar renowned for his significant contributions to the field of agricultural mechanization and thermal dynamics within mechanical engineering. Currently serving at the Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, he has built a strong academic and research foundation focused on advancing the efficiency, performance, and sustainability of agricultural and automotive systems. His research interests span the thermal-dynamic properties of tractors and automobiles, as well as the optimization of grain crushing processes in crushers—critical areas that bridge agricultural engineering with energy efficiency and mechanical innovation. Over his academic career, Dr. Abdurakhmanov has actively participated in four major research projects and has contributed to over twenty peer-reviewed publications, demonstrating a robust commitment to applied research and practical engineering solutions. His professional experience includes teaching, mentoring, and conducting experimental studies on machine performance under varying operational conditions, thereby strengthening the technological framework for modern agricultural systems. With two years of editorial and research review experience, he brings analytical precision and scholarly rigor to the scientific community. His research skills encompass thermodynamic analysis, mechanical system design, process modeling, and equipment optimization for agricultural production. Dr. Abdurakhmanov’s dedication to advancing sustainable mechanization technologies has earned him recognition for his academic excellence and his role in driving innovation within Uzbekistan’s agricultural sector. His ongoing work continues to contribute to the modernization of agricultural machinery and the improvement of energy efficiency in mechanized systems, aligning with global goals for sustainable development and technological advancement.He has achieved 68 citations, 22 documents, 5h-index.

Profiles:  Google Scholar  |  Scopus | ORCID

Featured Publications 

Akhmetov, A., Botirov, R., & Abdurokhmonov, S. (2020). Mechanism for changing the rear axle clearance of a universal-tiller tractor. IOP Conference Series: Materials Science and Engineering, 883(1), 012125.

Umirov, N., Abdurokhmonov, S., Ganiboyeva, E., & Alimova, Z. (2024). Thermal equilibrium of the tractor and vehicle engines’ cooling systems in agriculture technological processes. BIO Web of Conferences, 105, 05020.

Umirov, N., & Abdurokhmonov, S. (2022). On the de-aeration properties of radiators of the cooling system of engines of cars and tractors. Transportation Research Procedia, 63, 149–153.

Abdurokhmonov, S., Alijanov, D., & Ismaylov, K. (2020). Forces affecting the grain movement in the working chamber of the rotary crusher. IOP Conference Series: Earth and Environmental Science, 614(1), 012110.

Alijanov, D., Abdurokhmonov, S., & Umirov, N. (2020). Methods of regulating the work of units at irrigation pumping stations. IOP Conference Series: Materials Science and Engineering, 883(1), 012117.

 

Dr. Abdurakhmanov Shavkatjon Khasanovich advances the understanding of thermal and mechanical processes in agricultural and automotive systems, contributing to improved efficiency and sustainability in machinery design. His work bridges engineering innovation with practical agricultural applications, enhancing productivity while reducing environmental impact—supporting global progress toward smarter, energy-efficient mechanization

Hongbo Wang | Vehicle Dynamics | Best Researcher Award

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Prof. Hongbo Wang | Vehicle Dynamics | Best Researcher Award

Professor  |  Hefei University of Technology  | China

Prof. Hongbo Wang is a distinguished scholar whose work in intelligent vehicle dynamics and control has shaped both academic research and industrial applications, consistently advancing methodologies in vehicle motion modeling, intelligent control algorithms, and automated driving technologies. With extensive experience leading more than forty national, provincial, and municipal projects, his professional contributions span high-impact investigations into off-road vehicle technology, autonomous driving stability, integrated chassis control, and intelligent mobility systems. His research interests focus on vehicle dynamic behavior analysis, intelligent control strategies, computational modeling, and multi-source information fusion for advanced driving systems, supported by strong research skills in algorithm development, real-time system implementation, experimental platform construction, and interdisciplinary engineering integration. His portfolio of scientific achievements includes more than one hundred academic publications, thirty authorized invention patents, six software copyrights, participation in two provincial standard developments, and the publication of two influential monographs, positioning him as a leading contributor to the field’s evolution. His professional experience is complemented by service roles such as External Expert of the Off-Road Vehicle Technology Branch of the Chinese Society of Automotive Engineers, Member of the Vehicle Control and Intelligentization Technical Committee of the Chinese Association of Automation, and Director of the Anhui Society of Automotive Engineers, reflecting broad recognition across national organizations. His awards include the First Prize of the Science and Technology Award of the Chinese Society of Automotive Engineers, the Second Prize of the Machinery Industry Technology Invention Award, and multiple Anhui Provincial Teaching Achievement Awards, underscoring excellence in both research innovation and educational leadership. Overall, his career demonstrates a sustained commitment to advancing intelligent automotive technologies and fostering academic growth in the engineering community. He has achieved 532 Citations,  63 Documents , 12 h-index.

Profile:  Scopus

Featured Publications 

1. Wang, H., et al. (2025). Multi-objective parallel human–machine steering coordination control strategy of intelligent vehicles path tracking based on deep reinforcement learning. Chinese Journal of Mechanical Engineering (English Edition).

2. Wang, H., et al. (2025). Trajectory tracking multi-constraint model predictive control of unmanned vehicles based on sideslip stiffness estimation with XGBoost algorithm. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.

3. Wang, H., et al. (2025). Yaw stability control of tractor vehicle based on nonsingular fast terminal sliding mode. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.

4. Wang, H., et al. (2025). Intelligent vehicle path tracking coordinated optimization based on dual-steering cooperative game with fault-tolerant function. Applied Mathematical Modelling.

5. Wang, H., et al. (2025). Identification of intrusion obstacles for underground locomotives based on the fusion of LiDAR and wireless positioning technology. International Journal of Vehicle Performance.

Professor Hongbo Wang’s research advances intelligent vehicle control by integrating reinforcement learning, predictive modeling, and human–machine cooperation to enhance safety, stability, and autonomy. His work contributes directly to next-generation intelligent transportation systems, improves industrial vehicle technologies, and supports global innovation in automated mobility.

Bao Xie | Electric Vehicles | Editorial Board Member

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Dr. Bao Xie | Electric Vehicles | Editorial Board Member

lecturer | Hefei University of Technology | China

Dr. Bao Xie is an accomplished researcher and lecturer specializing in Electrical Engineering with a strong academic foundation and extensive experience in renewable energy systems, grid-connected power generation, and inverter stability control. Currently serving as a lecturer and supervisor of master’s candidates at the Hefei University of Technology, he has established a solid reputation in the fields of power electronics, control theory, and grid integration of renewable energy sources. His research primarily focuses on the control and stability of renewable energy grid-connected power systems, addressing challenges related to weak grid conditions, harmonic resonance, and digital control of large-scale photovoltaic (PV) plants. Over the years, Dr. Xie has demonstrated exceptional technical acumen and problem-solving ability, contributing significantly to multiple national and provincial-level research projects, including the Anhui Provincial Natural Science Foundation and the National Key Research and Development Programs. His research skills encompass advanced modeling, control strategy design, resonance analysis, and power conversion optimization, supported by a profound understanding of grid dynamics and inverter interactions. Dr. Xie’s scholarly contributions include over 60 publications in prestigious journals such as IEEE Transactions on Energy Conversion, IET Power Electronics, and International Journal of Electrical Power and Energy Systems, showcasing innovative approaches to improving grid stability and renewable integration. His dedication to academic excellence has earned him recognition as a promising figure in the next generation of electrical engineers, with his work offering impactful insights for sustainable and intelligent energy systems. Through his continuous pursuit of innovation, collaboration, and mentorship, he exemplifies the integration of theory and practical engineering for real-world energy applications. He has achieved 653 Citations, 61 Documents, 15h-index.

Profile:   Scopus

Featured Publications 

  1. Xie, B., Zheng, W., Li, P., Shi, Y., & Su, J. (2025). Stability analysis and admittance reshaping for PQ inverters with different power control methods. International Journal of Electrical Power and Energy Systems.

  2. Xie, B., Zhang, Q., Liu, T., Zhou, L., & Hao, G. (2025). Research on multi-model LQR control strategy for grid-connected inverters under weak grid. Electric Power Systems Research.

  3. Xie, B., Guo, K., Mao, M., Zhou, L., Liu, T., & Zhang, Q. (2025). Optimization of energy storage capacity of village-level microgrid considering the orderly charging of electric vehicles. Sustainable Energy Grids and Networks.

  4. Xie, B., Zhou, L., Liu, T., Zhang, Q., & Hao, G. (2025). Topology and control method of interleaved parallel DC/DC converters with ripple compensation for fuel cell applications. Journal of Power Electronics.

  5. Xie, B., Mao, M., Liu, T., Zhou, L., & Zhang, Q. (2025). State prediction consistency secondary control strategy for microgrids with adaptive virtual impedance. Dianji Yu Kongzhi Xuebao (Electric Machines and Control).

    Dr. Bao Xie’s research advances the stability, efficiency, and intelligence of renewable energy integration within modern power grids. His innovative control strategies for inverters and microgrids foster sustainable energy transitions and resilient smart grid infrastructures. Through interdisciplinary research bridging academia and industry, his work supports global innovation in clean energy technologies and digital power systems.