Phuet Prasertcharoensuk | Chemical Engineering | Research Excellance Award

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Assist. Prof. Dr. Phuet Prasertcharoensuk | Chemical Engineering | Research Excellance Award

Lecturer | The University of  Chulalongkorn University | Thailand

Assist. Prof. Dr. Phuet Prasertcharoensuk is an accomplished chemical engineering researcher specializing in sustainable energy technologies, biomass conversion, and hydrogen production. His research emphasizes thermochemical processing, heterogeneous catalysis, and carbon dioxide capture and utilization to support cleaner and more efficient energy systems. With 18 scholarly publications, 299 citations, and an h-index of 10, he has contributed to advancements in biomass gasification, hybrid energy systems, and renewable fuel development. His work also incorporates computational modeling, process integration, and innovative approaches such as cold plasma technologies. Through interdisciplinary research, he aims to improve energy efficiency, reduce environmental impact, and support the transition toward low-carbon and circular energy systems.

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Farshad Shamlu | Engineering | Innovative Research Award

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Mr. Farshad Shamlu | Engineering | Innovative Research Award

Doctoral Student | The University of  Genoa | Italy

Mr. Farshad Shamlu is an emerging researcher in the field of modeling and simulation, focusing on complex systems across logistics, supply chains, and engineering applications. His research combines computational modeling, machine learning, and data analytics to address real-world industrial and technological challenges. He has been involved in the development of simulation-based solutions, including high-level architecture (HLA) frameworks and innovative system designs for advanced operational environments. His work also explores sustainability and optimization in engineering systems, contributing to efficient and intelligent decision-making processes. With a record of 2 publications, 5 citations, and an h-index of 1, his research demonstrates a promising trajectory in simulation science, reflecting both technical depth and interdisciplinary integration in modern engineering practices.

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Featured Publication

Konstantinos Blazakis | Engineering | Research Excellance Award

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Dr. Konstantinos Blazakis | Engineering | Research Excellance Award

Adjunct professor | Hellenic Mediterranean University | Greece

Dr. Konstantinos Blazakis is an electrical and computer engineer and AI researcher specializing in smart energy systems, renewable energy analytics, and advanced machine learning. His work integrates artificial intelligence, quantum machine learning, and power systems, with a strong focus on electricity theft detection, forecasting, and smart grid optimization. He has advanced academic training in electrical and computer engineering, smart grid measurement processing, and applied mathematics and physics, enabling a multidisciplinary approach to energy challenges. His professional background spans university-level teaching, EU-funded renewable energy and photovoltaic research projects, smart grid resilience studies, and contributions to industrial photovoltaic installations and power network design. His research interests include machine learning and deep learning for energy forecasting, smart meter data analytics, quantum neural networks, vehicle-to-grid modeling, and energy market analysis, as well as emerging nanoelectronic devices for next-generation sensing and computing. His work supports the development of resilient, intelligent, and low-carbon energy infrastructures.

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Ehsan Khajavian | Engineering | Research Excellance Award

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Mr. Ehsan Khajavian | Engineering | Research Excellance Award

Research Assistant | Ferdowsi University of Mashhad | Iran

Mr. Ehsan Khajavian is a materials and corrosion engineer with strong academic and industrial expertise in corrosion protection, electrochemical analysis, and surface engineering. He holds advanced training in corrosion and protection of materials and materials and metallurgical engineering, with a focus on electrochemical methods, microstructural engineering, and functional surface fabrication. His experience spans academic laboratory supervision, teaching support, and senior industrial roles in technical engineering, metallurgy, and equipment refurbishment. He has contributed to international journals and industrial R&D projects involving corrosion-resistant coatings, casting systems, surface modification, electrochemical instrumentation, and production-line optimization. His research interests center on corrosion science, electrochemical characterization techniques, functional and superhydrophobic surfaces, nanostructured coatings, friction stir processing, and applied corrosion engineering, integrating laboratory-scale research with real-world industrial challenges to deliver durable and scalable materials solutions.

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Featured Publications


Corrosion Protection Strategies for Industrial Equipment Using Electrochemical Techniques

– Materials & Corrosion Research

Afera Halefom Teka | Engineering | Research Excellance Award

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Mr. Afera Halefom Teka | Engineering | Research Excellance Award

Afera Halefom Teka | University of Chinese Academy of Sciences | Ethiopia

Mr. Afera Halefom Teka is a researcher specializing in cartography, geospatial analysis, hydrology, and land–environment interactions, with strong expertise in GIS, remote sensing, and water resources modeling. His work addresses land use change, hydrological processes, watershed vulnerability, and environmental sustainability across diverse landscapes. With experience in academic teaching, research leadership, and interdisciplinary collaborations, he contributes to evidence-based geospatial solutions for climate resilience, watershed management, and sustainable land–water governance. His research applies spatial modeling, multi-criteria evaluation, machine learning, and advanced cartographic visualization to examine land use dynamics, climate variability, soil erosion risk, groundwater potential, and environmental change detection. He has also taken part in international trainings, conferences, and collaborative projects advancing geospatial applications for disaster risk reduction and resource planning. His contributions have been recognized through academic distinctions, research committee leadership roles, competitive training selections, and conference acknowledgments.

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Featured Publications

Zhi Zong | Engineering | Best Researcher Award

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Prof. Dr. Zhi Zong | Engineering | Best Researcher Award

Fuyao University of Science and Technology | China

Professor Zhi Zong is an internationally acclaimed researcher in naval architecture, ocean engineering, computational mechanics, and fluid–structure interaction, widely recognized for his influential contributions to marine hydrodynamics and advanced numerical simulation. With 334 publications, 5,653 citations, and an h-index of 38 (Scopus), his research covers underwater explosion (UNDEX) physics, nonlinear water waves, bubble dynamics, vortex-induced vibration (VIV), unsteady cavitation, water-entry dynamics, and high-fidelity computational fluid mechanics, employing cutting-edge techniques such as SPH, DEM, and data-driven modeling. He has authored over 460 scientific papers, including more than 230 SCI-indexed articles, and has been continuously listed among the Top 2% Scientists globally (2021–2025). His seven authoritative monographs published with Elsevier, Taylor & Francis/CRC, and Science Press span differential quadrature methods, solitary wave theory, computational underwater explosion mechanics, and bubble damage modeling. Professor Zong’s research has significantly advanced understanding of shock loading on marine structures, hydrodynamic impact, cavitating and multiphase flows, ice–structure interactions, ship motion reduction, and complex multi-physics simulations, with many of his highly cited publications regarded as landmark contributions to SPH modeling, multiphase flow analysis, UNDEX damage prediction, and VIV dynamics.

Profiles: Scopus| Google Scholar | ResearchGate

Featured Publications 

• Liu, M. B., Liu, G. R., Lam, K. Y., & Zong, Z. (2003). Smoothed particle hydrodynamics for numerical simulation of underwater explosion. Computational Mechanics, 30(2), 106–118.

• Liu, M. B., Liu, G. R., Zong, Z., & Lam, K. Y. (2003). Computer simulation of high explosive explosion using smoothed particle hydrodynamics methodology. Computers & Fluids, 32(3), 305–322.

• Zong, Z., & Zhang, Y. (2009). Advanced differential quadrature methods. Chapman and Hall/CRC.

• Chen, Z., Zong, Z., Liu, M. B., Zou, L., Li, H. T., & Shu, C. (2015). An SPH model for multiphase flows with complex interfaces and large density differences. Journal of Computational Physics, 283, 169–188.

• Zhang, Y. Y., Wang, C. M., Duan, W. H., Xiang, Y., & Zong, Z. (2009). Assessment of continuum mechanics models in predicting buckling strains of single-walled carbon nanotubes. Nanotechnology, 20(39), 395707.

Belkacem Bekhiti | Engineering | Best Researcher Award

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Prof. Belkacem Bekhiti | Engineering | Best Researcher Award

Prof. Belkacem Bekhiti | Institute of Aeronautics and Space Studies, University of Blida | Algeria

Dr. Bekhiti Belkacem is a distinguished academic and researcher in control theory, robotics, and aerospace engineering, currently serving as a Lecturer at the Institute of Aeronautics and Space Studies, Blida University 1, Algeria. His expertise spans guidance, navigation, and control systems, integrating theoretical modeling with real-world aerospace applications. He holds a Doctorate in Electrical Engineering with a specialization in Automatic Control from the University of Boumerdes, a Magister in Advanced Control of Complex Systems from the National Polytechnic School, Oran, a Master’s in Automatic Control from the University of Djelfa, and an Engineering degree in Electrical Engineering from Boumerdes. His career includes teaching positions at Blida and Djelfa Universities, collaboration with the Algerian Air Agency, and supervision of advanced student projects in UAVs, satellite control, and robotics. His research focuses on MIMO control, matrix polynomial theory, robotic modeling, nonlinear adaptive control, and intelligent aerospace system design, merging classical automation with artificial intelligence and fractional-order control. He has authored several books and numerous international publications, presented his work at major conferences, and earned recognition for his contributions to intelligent control and aerospace systems. His influence extends across the Algerian and international research communities, where he continues to inspire innovation and academic excellence in modern control and aeronautical engineering.

Profile : Google Scholar 

Featured Publications 

  • Bekhiti, B. (2015). On the theory of λ-matrices based MIMO control system design. Control and Cybernetics.

  • Bekhiti, B. (2017). Intelligent block spectral factors relocation in a quadrotor UAV. International Journal of Scientific Computing (IJSCC).

  • Bekhiti, B. (2018). On λ-matrices and their applications in MIMO control systems design. International Journal of Mathematical and Computational Intelligence (IJMIC).

  • Bekhiti, B. (2020). On the block decomposition and spectral factors of λ-matrices. Control and Cybernetics.

  • Bekhiti, B. (2020). Internal stability improvement of a natural gas centrifugal compressor. Journal of Natural Gas Science and Engineering.

Jingyi Gao | Engineering | Best Researcher Award

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Ms. Jingyi Gao | University of Virginia | United States

Ms. Jingyi Gao | University of Virginia | United States

Jingyi Gao is a Ph.D. candidate in Systems and Information Engineering at the University of Virginia with a 3.75 GPA, focusing on time series prediction, Bayesian probabilistic modeling, and federated learning. She holds an M.S. in Applied Mathematics and Statistics from the Johns Hopkins University (GPA 3.9) and dual bachelor’s degrees in Mathematics–Computer Science and Economics from the University of California, San Diego. Jingyi has extensive teaching experience, serving as a teaching assistant at UVA where she has instructed over 1,000 students across multiple courses in statistical modeling, data mining, AI, and big data systems, and previously supported courses at Johns Hopkins and UC San Diego. She has mentored underrepresented students through the Data Justice Academy and completed research internships at the University of Pittsburgh and Tencent, developing machine learning models for stress detection, healthcare data analysis, and cloud resource forecasting. Jingyi has authored several publications, including work accepted by Pattern Recognition and under review at AAAI and IISE Transactions. Her recent projects involve designing deep latent variable models for ergonomic risk assessment, developing real-time adaptive prediction frameworks for occupational health monitoring, creating federated learning approaches for multi-output Gaussian processes, and modeling behavioral regularity and predictability from multidimensional sensing signals. Combining expertise in machine learning, statistical modeling, and data-driven decision systems, Jingyi aims to advance human-centered intelligent systems through interpretable and privacy-preserving predictive modeling.

Profile: Scopus | Google Scholar

Featured Publications 

Gao, J., Rahman, A., Lim, S., & Chung, S. TimeSets: A real-time adaptive prediction framework for multivariate time series (Manuscript under review at the Association for the Advancement of Artificial Intelligence).

Gao, J., Lim, S., & Chung, S. Gait-based hand load estimation via deep latent variable models with auxiliary information (Manuscript under review at IISE Transactions).

Gao, J., & Chung, S. Federated automatic latent variable selection in multi-output Gaussian processes (Accepted for publication in Pattern Recognition)*.

Gao, J., Yan, R., & Doryab, A. Modeling regularity and predictability in human behavior from multidimensional sensing signals and personal characteristics. Proceedings of the International Conference on Machine Learning and Applications (ICMLA). Institute of Electrical and Electronics Engineers.

Chen, T., Chen, Y., Gao, J., Gao, P., Moon, J. H., Ren, J., … & Woolf, T. B. Machine learning to summarize and provide context for sleep and eating schedules. bioRxiv.

Nan Li | Engineering | Best Researcher Award

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Dr. Nan Li | Engineering | Best Researcher Award

Associate researcher at erospace Information Research Institute, Chinese Academy of Sciences, China

Dr. Nan Li is an accomplished Associate Researcher at the State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences. With a strong interdisciplinary foundation in biomedical engineering and automation, she specializes in developing microfluidic-based nucleic acid and immunoassay detection systems. Dr. Li has contributed significantly to the advancement of rapid, portable, and sensitive diagnostic technologies, many of which are aimed at point-of-care and field diagnostics for infectious diseases. Her work is deeply rooted in translational research, seamlessly integrating microengineering, biotechnology, and clinical diagnostics.

Profile

Scopus

🎓 Education

Dr. Nan Li received her Ph.D. in Biomedical Engineering from the prestigious Tsinghua University in 2022, after completing her undergraduate degree in Automation from the Beijing Institute of Technology in 2016. During her doctoral studies, she focused on the development of centrifugal microfluidic platforms and integrated biosensing systems, gaining critical experience in both academic research and real-world biomedical applications. Her academic journey laid the groundwork for a career dedicated to creating impactful diagnostic tools for global healthcare needs.

💼 Experience

Dr. Li currently serves as an Associate Researcher at the Chinese Academy of Sciences, where she leads projects under the State Key Laboratory of Transducer Technology. She has also been actively involved in collaborative efforts with academic and industrial partners to translate laboratory innovations into commercial and clinical applications. In addition to her research responsibilities, Dr. Li contributes to scholarly activities as a journal reviewer for Microsystems & Nanoengineering and Current Analytical Chemistry. She has also delivered oral presentations at prominent international conferences such as Transducers 2025 and IEEE Sensors 2024, further reflecting her stature in the field.

🔬 Research Interests

Dr. Li’s core research interest lies in microfluidic technology for nucleic acid amplification, multiplex detection, and point-of-care diagnostics. She is particularly focused on developing integrated fluidic systems that are capable of rapid, accurate, and simultaneous detection of multiple pathogens or biomarkers. Her work often involves combining engineering principles such as centrifugal force and Euler force with advanced biochemical assays like LAMP and CRISPR. This interdisciplinary approach enables her to create portable diagnostic tools with immense potential in epidemic control, food safety, and personalized medicine.

🏆 Awards

Dr. Nan Li’s exceptional work has earned her several prestigious honors, including the Outstanding Reviewer Award from Microsystems & Nanoengineering in 2024. She was recognized as one of the Outstanding Graduates in Beijing in both 2016 and 2022. She also received the First Prize of Tsinghua University Comprehensive Scholarship in 2020 and the Gold Star Distinguished Research Award from the Biochip (Beijing) National Engineering Research Center in 2018 and 2020. Earlier in her academic journey, she was a recipient of the Tsinghua Future Scholar Scholarship, an award conferred upon top-performing doctoral candidates.

📚 Publications

Among Dr. Li’s numerous scientific publications, the following seven represent high-impact research in her field:

  1. Tianping Zhou, Nan Li* (2025). Sensors and Actuators B: Chemical. “Shockproof magnetofluidic multiplex nucleic acid system” – DOI: 10.1016/j.snb.2025.138139.

  2. Nan Li# et al. (2025). Biosensors & Bioelectronics, “Chip-based universal strategy for multiplex PCR”, Vol. 269, 116921.

  3. Bin Xiao# et al., Nan Li* (2024). Food Chemistry, “Toothpick DNA extraction with LAMP platform”, Vol. 460, 140659.

  4. Jiajia Liu# et al., Nan Li# (2024). Small Methods, “One-pot multiplex virus detection”, Vol. 8, 2400030. (Cover Article).

  5. Nan Li# et al. (2022). Sensors and Actuators B: Chemical, “Euler force-assisted sequential liquid release”, Vol. 359, 131642.

  6. Nan Li et al. (2022). Lab on a Chip, “Fully integrated SNP genotyping for hearing loss”, Vol. 22(4): 697–708. (Cover Article).

  7. Nan Li# et al. (2021). Microsystems & Nanoengineering, “Raw-sample-in multiplexed detection system”, Vol. 7(1): 94.

These works are widely cited and demonstrate her contributions to practical innovations in diagnostic technologies.

✅ Conclusion

Dr. Nan Li’s trajectory exemplifies a dedicated and forward-thinking researcher whose work merges engineering innovation with biomedical applications. Through her trailblazing research in microfluidic systems and portable diagnostics, she has not only addressed pressing needs in healthcare but also helped shape the future of rapid disease detection. Her consistent output of high-impact publications, international recognition, and impressive list of awards collectively make her a deserving candidate for a Best Paper Award. Dr. Li’s blend of creativity, precision, and practical implementation reflects the qualities that such an award seeks to honor.

Siming Chen | Chemical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Siming Chen | Chemical Engineering | Best Researcher Award 

Associate research fellow, at China University of Mining and Technology, China.

Dr. Siming Chen, born on July 12, 1988, is a distinguished researcher in the field of chemical engineering, specializing in CO₂ capture and utilization. He earned his Bachelor’s degree in Chemistry from Dezhou University (2008–2012), followed by a Doctorate in Chemical Engineering and Technology from Dalian University of Technology (2012–2018). Dr. Chen furthered his expertise through a joint cultivation program at the University of Melbourne in 2017–2018. Currently, he serves as a Research Associate at the Carbon Neutral Institute of China University of Mining and Technology, a position he has held since December 2022. Prior to this, he was a Lecturer at the School of Environmental Science and Engineering at Qingdao University from June 2018 to December 2022. His research focuses on innovative solutions for carbon capture, aiming to mitigate climate change impacts. Dr. Chen’s work has significantly contributed to advancements in sustainable chemical engineering practices. He can be reached via email at chsiming@126.com.

Professional Profile

Scopus

Education

Dr. Chen’s academic journey began at Dezhou University, where he obtained his Bachelor’s degree in Chemistry (2008–2012). He then pursued a Doctorate in Chemical Engineering and Technology at Dalian University of Technology (2012–2018), focusing on CO₂ capture technologies. In 2017–2018, he participated in a joint cultivation program at the University of Melbourne, enhancing his research capabilities and international perspective. This diverse educational background has equipped Dr. Chen with a robust foundation in chemical engineering, enabling him to address complex environmental challenges through innovative research.

Experience

Dr. Chen’s professional experience spans academia and research institutions. Since December 2022, he has been serving as a Research Associate at the Carbon Neutral Institute of China University of Mining and Technology, focusing on sustainable energy solutions. From June 2018 to December 2022, he worked as a Lecturer at the School of Environmental Science and Engineering at Qingdao University, where he taught and mentored students in environmental engineering disciplines. His roles have allowed him to bridge theoretical knowledge with practical applications in the field of chemical engineering.

Research Interests

Dr. Chen’s research interests are centered on CO₂ capture and utilization, aiming to develop low-energy consumption absorbents and efficient processes for carbon dioxide mitigation. His work includes the development of phase-change solvents, non-aqueous solvents, and desorption catalysts to enhance CO₂ absorption efficiency. Additionally, he explores the coupling processes of CO₂ capture using hollow fiber membrane contactors and integrated technologies for microalgae-based CO₂ fixation and lipid extraction. Through these innovative approaches, Dr. Chen strives to contribute to sustainable solutions for global carbon management.

Awards

Dr. Chen’s contributions to the field have been recognized through several prestigious awards. In 2014, he was part of the team that received the Second Prize of the Scientific and Technological Progress Award from the China Petroleum and Chemical Industry Federation for their work on high-efficiency CO₂ capture. In 2019, he contributed to the team awarded the First Prize of the Liaoning Provincial Science and Technology Progress Award for developing core technologies in CO₂ capture and purification. These accolades highlight his significant impact on advancing environmental engineering technologies.

Top Noted Publications

Dr. Chen has authored and co-authored numerous publications in reputable journals, contributing valuable insights into CO₂ capture technologies. Notable publications include:

1. Solid Waste of Fly Ash toward Energy-Efficient CO₂ Capture

  • Published in: ACS Sustainable Chemistry & Engineering, 2023, 11(22), 8281–8293

  • DOI: 10.1021/acssuschemeng.3c00657

  • Authors: Linlin Chen, Shijian Lu, Lei Zhang, Chunjin Zhang, Ling Liu, Guojun Kang, Hua Tang, Siming Chen

  • Summary: This study investigates the use of fly ash as a natural, low-cost catalyst for enhancing the MEA (monoethanolamine) CO₂ absorption–desorption process. The research demonstrates that fly ash contains Brønsted and Lewis acid–base sites, which facilitate proton and electron donation. Specifically, 1-FA (a type of fly ash) improved the CO₂ cyclic absorption capacity by 6.7–26.1%, increased the CO₂ desorption rate to 96.0%, and reduced sensible heat by 24–28% compared to pure MEA. The performance of 1-FA was comparable to that of HZSM-5, a conventional catalyst. ACS Publicationsfaculty.cumt.edu.cn+6Figshare+6X-MOL+6ACS Publications+2X-MOL+2Figshare+2

2. Low-Energy-Consuming CO₂ Capture by Liquid–Liquid Biphasic Absorbents of EMEA/DEEA/PX

  • Published in: Chemical Engineering Journal, 2022, 450, 138490

  • DOI: 10.1016/j.cej.2022.138490

  • Authors: Liju Bai, Shijian Lu, Qizheng Zhao, Linlin Chen, Yingjie Jiang, Chunxiao Jia, Siming Chen

  • Summary: This paper explores a liquid–liquid biphasic solvent system comprising EMEA (2-(ethylamino)ethanol), DEEA (diethylethanolamine), and PX (paraxylene) for CO₂ capture. The system offers low corrosivity and energy-efficient CO₂ absorption and desorption processes. The study highlights the potential of this biphasic system in reducing operational costs and enhancing the overall efficiency of CO₂ capture technologies. OUCI+3ACS Publications+3ACS Publications+3

3. Single-Step Integrated Technology for Enhanced CO₂ Biofixation and Efficient Lipid Extraction in Microalgal Systems Including a Water-Immiscible Solvent

  • Published in: Chemical Engineering Journal, 2022, 432, 134374

  • DOI: 10.1016/j.cej.2021.134374

  • Authors: Liju Bai, Shijian Lu, Shun Qiu, Jintong Li, Siming Chen

  • Summary: This research presents an integrated approach combining CO₂ biofixation by microalgae with efficient lipid extraction using a water-immiscible solvent. The system enhances CO₂ utilization and lipid production in a single-step process, offering a sustainable method for biofuel production. The study emphasizes the importance of solvent selection and process integration in optimizing the overall efficiency of the system. OUCI

Conclusion

Siming Chen is a strong and well-qualified candidate for the Best Researcher Award in the environmental and chemical engineering field, particularly in carbon capture and utilization. His technical depth, innovative contributions, and record of publication and patents position him as a leading expert in his specialization. For even greater competitiveness, further growth in leadership visibility and cross-disciplinary impact would be beneficial.