Dr. Zeinab Ramezani | High Power Devices | Best Researcher Award

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Zeinab Ramezani | High Power Devices | Best Researcher Award

Principle Design Engineer | Onsemi | United States

Dr. Zeinab Ramezani is an accomplished researcher and engineer specializing in semiconductor device physics, nanotechnology, bioelectronics, and optoelectronic devices, with a strong focus on theory, simulation, modeling, and characterization of advanced electronic and biomedical systems. She currently serves as a Principle Design Engineer in the R&D Department at the Power Solution Group in Scottsdale, Arizona, and has previously held roles as Senior Research Scientist and Lecturer in the Department of Electrical and Computer Engineering at the University of Miami, where she contributed to NSF and DARPA projects exploring multifunctional nanoparticles for neural stimulation and brain-computer interfaces. Earlier, she was a Research Scientist at Northeastern University and an Assistant Professor at Islamic Azad University in Tehran, Iran. She holds dual Ph.D. degrees in Electrical and Computer Engineering from the University of Miami, with research on nanomagnetics and biomedical applications, and in Electrical and Electronic Engineering from Semnan University, Iran, where her work focused on nanoscale semiconductor devices. With extensive teaching experience across undergraduate and graduate levels, she has supervised more than 80 theses, reviewed over 40 research projects, and established electronics and FPGA laboratories. Her technical expertise spans computational tools such as MATLAB, Silvaco, Cadence, and COMSOL, as well as experimental skills in nanoparticle synthesis, device fabrication, and optoelectronic characterization. Dr. Ramezani has received multiple honors including the Best Researcher Award (ScienceFather, 2024 and 2025), the College of Engineering Fellowship at the University of Miami, and recognition as a top female inventor and professor in Iran. She is a member of Iran’s National Elites Foundation and has a strong academic record, ranking first across her B.Sc., M.Sc., and Ph.D. programs. Her impactful contributions are reflected in 1,243 citations, 59 published documents, and an h-index of 21, underscoring her influence in advancing semiconductor and biomedical research.

Profile: Scopus | ORCID | Google Scholar | Linked IN

Featured Publications

  • Ahmadivand, A., Gerislioglu, B., Ramezani, Z., Kaushik, A., Manickam, P., … (2021). Functionalized terahertz plasmonic metasensors: Femtomolar-level detection of SARS-CoV-2 spike proteins. Biosensors and Bioelectronics, 112971.

  • Ahmadivand, A., Gerislioglu, B., & Ramezani, Z. (2019). Gated graphene island-enabled tunable charge transfer plasmon terahertz metamodulator. Nanoscale, 11(17), 8091-8095.

  • Ahmadivand, A., Gerislioglu, B., Ramezani, Z., & Ghoreishi, S. A. (2019). Attomolar detection of low-molecular weight antibiotics using midinfrared-resonant toroidal plasmonic metachip technology. Physical Review Applied, 12(3), 034018.

  • Ahmadivand, A., Gerislioglu, B., & Ramezani, Z. (2019). Generation of magnetoelectric photocurrents using toroidal resonances: A new class of infrared plasmonic photodetectors. Nanoscale, 11(27),

  • Anvarifard, M. K., Ramezani, Z., & Amiri, I. S. (2020). High ability of a reliable novel TFET-based device in detection of biomolecule specifies—A comprehensive analysis on sensing performance. IEEE Sensors Journal, 21(5), 6880-6887.

 

Mr. Xing Zhou | Microfluidics | Best Researcher Award

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Xing Zhou | Microfluidics | Best Researcher Award

Researcher | Xihua University | China

Mr. Xing Zhou is a dedicated researcher at Xihua University, specializing in the fields of microfluidics, ferrofluids, and micropump technologies, with a strong focus on advancing liquid-liquid coupling mechanisms and optimization methods between magnetic fluid and medium fluid in mechanical ferrofluid micro-/mini-pumps. He has recently completed a significant research project and published a review article that comprehensively compares the characteristics and performance of mechanical micropumps and ferrofluid micropumps, aiming to provide future researchers with an accessible and reliable reference in micropump research. His academic journey is marked by innovation, as evidenced by six patents that have been published or are under process, highlighting his commitment to bridging theoretical research with practical applications. Additionally, he has contributed to the international research community through one journal publication indexed in leading databases such as SCI/Scopus, with his work achieving recognition reflected in 4 citations across 4 documents and an h-index of 1. These metrics demonstrate the growing impact and relevance of his research in the global scientific community. While he has not yet engaged in consultancy or industry-sponsored projects, editorial appointments, or major collaborations, his contributions to micropump technology are building academic visibility and establishing a foundation for future advancements in microfluidics and ferrofluid research. As an emerging researcher, he continues to focus on enhancing the performance and applicability of micropumps, with a vision to expand the scope of his work into broader industrial and biomedical applications. His scholarly contributions, combined with his innovation-driven mindset, position him as a promising candidate for the Best Researcher Award.

Profile : Scopus

Featured Publication

Zhou, X., Li, Z., Han, B., Guo, Q., & Qing, Z. (2025). Performance comparison of mechanical and ferrofluidic micropumps: Structural and operational perspectives

 

 

Mr. Lou Wandong | Operation Management | Best Researcher Award

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Lou Wandong | Operation Management | Best Researcher Award

Associate Professor | Shandong Normal University | China

Dr. Wandong Lou is a dedicated scholar and educator currently serving as a faculty member at the Business School of Shandong Normal University since 2018, with over a decade of prior teaching and administrative experience at Shandong Yingcai University, where he worked as Deputy Director of the Basic Education Department and earlier as a mathematics teacher. He holds a Ph.D. in Management Science and Engineering from Tianjin University (2018), an M.S. in Applied Mathematics from Shandong University (2011), and a B.S. in Mathematics and Applied Mathematics from Shandong Normal University (2004). His research interests center on dynamic Stackelberg games, the bullwhip effect in complex supply chains, and nonlinear dynamics in supply chain and economic systems. He has made significant scholarly contributions through publications in leading journals such as RAIRO-Operations Research, Annals of Operations Research, Applied Mathematical Modelling, Entropy, Complexity, and the International Journal of Bifurcation and Chaos. Notable works include studies on bullwhip effect entropy analysis, complexity of multichannel supply chains, and the impact of dual fairness concerns on bargaining games. He has actively participated in major funded projects, including those supported by the National Social Science Foundation of China and the National Natural Science Foundation of China, as well as leading provincial-level research initiatives. Proficient in computational tools such as Matlab, Mathematica, R, and Lingo, Dr. Lou combines rigorous mathematical modeling with practical applications in supply chain management. His academic impact is reflected in 243 citations across 13 publications with an h-index of 8, underscoring the relevance and influence of his research in the field of management science and applied mathematics.

Profile: Scopus

Featured Publications

Ma, J., Lou, W., & Wang, Z. (2022). Pricing strategy and product substitution of bullwhip effect in dual parallel supply chain: Aggravation or mitigation? RAIRO-Operations Research, 56(4), 2093-2114.

Ma, X., Bao, C., Li, J., & Lou, W. (2022). The impact of dual fairness concerns on bargaining game and its dynamic system stability. Annals of Operations Research, 1-26.

Lou, W., & Ma, J. (2018). Complexity of sales effort and carbon emission reduction effort in a two parallel Bertrand household appliance supply chain model. Applied Mathematical Modelling, 64, 398-425.

Lou, W., Ma, J., & Zhan, X. (2017). Bullwhip entropy analysis and chaos control in the supply chain with sales game and consumer returns. Entropy, 19(2), 64.

Ma, J., & Lou, W. (2017). Complex characteristics of multichannel household appliance supply chain with the price competition. Complexity, Article ID 4327069, 12 pages.

Ma, J., Yang, W., & Lou, W. (2017). Research on bifurcation and chaos in a dynamic mixed game system with oligopolies under carbon emission constraint. International Journal of Bifurcation and Chaos, 27(10), 1750158.

Ma, J., Ma, X., & Lou, W. (2016). Analysis of the complexity entropy and chaos control of the bullwhip effect considering price of evolutionary game between two retailers. Entropy, 18(11), 416.

 

Dr. Mojtaba Ahmadiehkhanesar | Robotics | Best Researcher Award

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Mojtaba Ahmadiehkhanesar | Robotics | Best Researcher Award

University of Nottingham | United Kingdom

Dr. Mojtaba Ahmadieh Khanesar (PhD, MIET’20, SMIEEE’16, MASME’23) is a distinguished research fellow in optical metrology and machine learning at the Department of Mechanical, Materials, and Manufacturing Engineering, University of Nottingham, UK. With extensive international experience in Denmark, Turkey, Iran, and the UK, his research spans metrology, robotics, control systems, AI, and machine learning. He earned his Ph.D. in Control Engineering from K. N. Toosi University of Technology, Tehran, Iran, with a thesis on model reference interval type-2 fuzzy control of SISO nonlinear systems, following an M.Sc. on sliding mode fuzzy control of a rotary inverted pendulum and a B.Sc. in Control Engineering. Dr. Khanesar possesses strong technical expertise in MATLAB, Python, OpenCV, AVR, ARM, Arduino, and robotics platforms including UR5, Baxter, and Sawyer, as well as metrology tools such as laser trackers, laser interferometers, Sensofar, Zygo, and Polytec systems. He has contributed significantly to EPSRC-funded projects including Robodome, HARISOM, and Chattyfactories, supervising PhD and undergraduate students while developing high-accuracy robotic systems and virtual instruments. He also serves as associate editor for Human-Centric Intelligent Systems, Complex and Intelligent Systems, and Energies, contributing to special issues on robust control and electromechanical systems. Dr. Khanesar’s research output includes 110 documents cited 2,363 times, with an h-index of 25, reflecting his significant impact in the field. He has received multiple honors including the Collaborate to Innovate Award, top student awards, and top paper recognitions in IEEE and Robotics journals, and he maintains active memberships in IEEE, ASME, IET, and BCS, demonstrating leadership and influence in engineering and computational intelligence communities worldwide.

Profile : Scopus | ORCID | Google Scholar

Featured Publications

  • Khanesar, M. A., Kayacan, E., Teshnehlab, M., & Kaynak, O. (2011). Extended Kalman filter based learning algorithm for type-2 fuzzy logic systems and its experimental evaluation. IEEE Transactions on Industrial Electronics, 59(11), 4443–4455.

  • Khanesar, M. A., Kayacan, O., Yin, S., & Gao, H. (2015). Adaptive indirect fuzzy sliding mode controller for networked control systems subject to time-varying network-induced time delay. IEEE Transactions on Fuzzy Systems, 23(1), 205–214.

  • Sharafi, Y., Khanesar, M. A., & Teshnehlab, M. (2013). Discrete binary cat swarm optimization algorithm. In Proceedings of the 3rd IEEE International Conference on Computer, Control and Communication (pp. xx–xx). IEEE.

  • Kayacan, E., Kayacan, E., & Khanesar, M. A. (2015). Identification of nonlinear dynamic systems using type-2 fuzzy neural networks—A novel learning algorithm and a comparative study. IEEE Transactions on Industrial Electronics, 62(3), 1716–1724.

  • Camci, E., Kripalani, D. R., Ma, L., Kayacan, E., & Khanesar, M. A. (2018). An aerial robot for rice farm quality inspection with type-2 fuzzy neural networks tuned by particle swarm optimization-sliding mode control hybrid algorithm. Swarm and Evolutionary Computation, 41, 1–8.

 

Mr. Chang Liu | Geochemistry | Best Researcher Award

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Chang Liu | Geochemistry | Best Researcher Award

China University of Geosciences Beijing | China

Chang Liu is an emerging geoscientist from the China University of Geosciences, Beijing, with a strong research focus on the genesis and metallogenic processes of skarn-type polymetallic deposits. His doctoral work centers on the Narusongduo Pb-Zn deposit in Tibet, where he integrates zircon U-Pb geochronology, whole-rock geochemistry, Sr-Nd and Ca isotope geochemistry, and mineral-scale trace element analysis to investigate magma evolution, fluid–rock interaction, and ore-forming mechanisms. With expertise in field geology, advanced laboratory techniques, and data interpretation, he has made significant contributions to regional metallogenic models and mineral exploration strategies. His research outputs include the study “Geochronology and Geochemistry of the Galale Cu–Au Deposit in the Western Segment of the Bangong–Nujiang Suture Zone: Implications for Molybdenum Potential,” published in an indexed journal, reflecting his ability to link isotopic and geochemical signatures to mineralization timing and fluid evolution. He has participated in nationally funded projects, including the National Natural Science Foundation of China (Project No. 42472115) and the National Key Research and Development Program (2024YFC2910400), underlining his role in advancing applied geoscience research. To date, his academic record includes 263 citations across 28 documents with an h-index of 7, demonstrating a growing scholarly influence within his field. Although he has not yet held editorial positions, published books, or patents, his contributions lie in integrating multiple analytical approaches to unravel ore-forming processes and guiding future mineral exploration. With an expanding citation profile and innovative research trajectory, Chang Liu is establishing himself as a promising researcher with the potential to make lasting impacts in geochemistry and mineral deposit studies.

Profile : Scopus

Featured Publications

Liu, C., Yang, Z., Zhao, X., & Mao, J. (2025). Geochronology and geochemistry of the Galale Cu–Au deposit in the western segment of the Bangong–Nujiang suture zone: Implications for molybdenum potential. Minerals. MDPI.

Xu, P., Yang, Z., Zheng, Y., Hou, Z., Xu, B., Wu, C., Zhao, X., Zhao, M., Zhang, L., & Liu, C. (2025). The spatiotemporal distribution, petrogenesis, and key ore-forming factors of the Jurassic magmatic arc in the Gangdese belt, Tibet. Ore Geology Reviews. Elsevier.

Zhao, X., Yang, Z., Liu, C., Dong, Y., & Shi, H. (2025). Miocene Pb‐Zn mineralization in the eastern Gangdese metallogenic belt: Evidence from in situ Rb‐Sr dating of mica and trace element geochemistry of sphalerite. Acta Geologica Sinica – English Edition. Wiley Online Library.

Zhao, X., Zheng, Y., Liu, C., Yang, Z., Dong, Y., & Liu, J. (2025). Magmatic characteristics and oxygen fugacity variations in the Eocene Yulong porphyry copper belt. Ore Geology Reviews. Elsevier.

Zhang, L., Yang, Z., Hou, Z., Wu, C., Liu, C., Xu, P., & Xie, L. (2024). Petrogenesis of Oligocene granitoids and its implications on beryllium mineralization at Pagele, Nianqingtanggula Mountain (Central Tibet). Acta Geologica Sinica – English Edition. Wiley Online Library.

Mr. Shakil Ahmad Zeb | Biological Sciences | Best Researcher Award

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Shakil Ahmad Zeb | Biological Sciences | Best Researcher Award

PhD Scholar | Quaid-i-Azam University | Pakistan

Shakil Ahmad Zeb is a dedicated researcher and scholar in the field of Plant Sciences, currently pursuing his Ph.D. under the supervision of Dr. Shujaul Mulk Khan at the Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan. His research primarily focuses on plant ecology, conservation biology, phytogeography, and riparian vegetation dynamics in the Hindukush range. He has contributed significantly to ecological and biogeographical studies, with several notable publications in reputed journals, including The Botanical Review and Journal of Hazardous Materials Advances. His published works include “Phytogeographic elements and vegetation along the River Panjkora-Classification and ordination studies from the Hindu Kush Mountains range” (2021), “Ecological assessment of riparian vegetation along the banks of the River Panjkora” (2025), and collaborative studies on angiosperm distribution, medicinal plant ethnobotany, and the ecological and economic importance of Nannorrhops ritchieana (Mazri Palm). In addition to his academic pursuits, he has presented research at international conferences, including the International Biogeographic Society and the Ecological Society of America, and has received recognition for his contributions to symposiums, workshops, and scientific gatherings. Zeb has also been awarded distinctions such as the Prime Minister’s Laptop Scheme by HEC, certificates of achievement in teaching and volunteerism, and accolades for communication and presentation skills. His academic output includes 6 documents, 40 citations, and an h-index of 3, reflecting his growing impact in plant ecology and conservation research. Through his scholarly work, Shakil Ahmad Zeb aims to advance sustainable conservation strategies, ecological restoration, and biodiversity management in fragile mountain ecosystems.

Profile : Scopus | Google Scholar

Featured Publications

  1. Zeb, S. A., Khan, S. M., Ahmad, Z., & Abdullah. (2021). Phytogeographic elements and vegetation along the River Panjkora: Classification and ordination studies from the Hindu Kush Mountains range. The Botanical Review, 87(3), 1–25.

  2. Zeb, S. A., Khan, S. M., Abdullah, A., Ahmad, Z., & Zeb, T. A. (2025). Ecological assessment of riparian vegetation along the banks of the River Panjkora, Hindukush Range. Wild, 2(3), 37.

  3. Ahmad, Z., Khan, S. M., Afza, R., Ullah, A., Zeb, S. A., Issayeva, K. S., & Bekzatqyzy, I. S. (2023). Angiosperms distribution under the influence of microclimatic factors across a polluted ecosystem. Journal of Hazardous Materials Advances, 9, 100223.

  4. Abdullah, A., Khan, S. M., Shehzadi, S., Khan, Y., Ali, S., Iqbal, M., … Haq, Z. U. (2022). Overcoming seed dormancy in the Mazri Palm: A sustainable way for its production at business scale. [Journal name].

  5. Din, B. U., Hadi, F., ul Haq, Z., Ahmed, M., Abbas, M., Salam, A., … Rasheed, S. (2020). Ethnobotanical perspective of medicinal plants in Mulkhow Valley, District Upper Chitral, Pakistan. Academic Journal of Plant Sciences, 13(1), 15–22.

  6. Abdullah, A., Khan, S. M., Ahmad, S., Zeb, S. A., Haq, Z. U., & Balslev, H. (2024). On the trail of the Mazri Palm (Nannorrhops ritchieana) in Pakistan. Palms, 68(1), 26–34.

  7. Zeb, S. A., & Khan, S. M. (2024). Senescence affects fecundity but not vitality in Nannorrhops ritchieana. Plant Species Biology.

Dr. Umadevi Kandalam | Biotechnology | Best Researcher Award

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Umadevi Kandalam | Biotechnology | Best Researcher Award

Associate Professor, Texas Tech University Health Science Center El Paso, United States

Dr. Umadevi Kandalam, Ph.D., is an accomplished academic and researcher currently serving as an Associate Professor of Physiology at the Woody L. Hunt School of Dental Medicine, Texas Tech University Health Sciences Center, El Paso, where she also holds a faculty role with the L. Frederick Francis Graduate School of Biomedical Sciences. With a strong foundation in zoology, endocrinology, and parasitology from Andhra and Annamalai Universities, complemented by advanced training in computer applications and environmental management, she brings interdisciplinary expertise to biomedical and craniofacial research. Her career spans significant roles at Nova Southeastern University, where she was Associate Professor and Director of the Craniofacial Research Fellowship, and at institutions in India, including Andhra University, where she began as a Young Scientist. Dr. Kandalam has actively engaged in faculty development, completing programs at Texas Tech and Cornell University, while also contributing to professional bodies such as AADOCR through session chairing and mentorship. Recognized with prestigious awards like the Faculty Scientific Research Award by the American Association of Oral and Maxillofacial Surgeons and Osteoscience Foundation, as well as multiple External Funding Recognition Awards at Nova Southeastern, she has established a strong research profile in craniofacial biology and biomaterials. Her scholarly impact is reflected in 25 research documents, a citation count of 1,283 by 1,149 documents, and an h-index of 13, underscoring her international recognition and influence. Through her commitment to teaching, research, and leadership, Dr. Kandalam continues to shape dental education and biomedical sciences with innovation and dedication.

Profile : Scopus

Featured Publications

  • Ishii, T., Ruiz-Torruella, M., Yamamoto, K., Yamaguchi, T., Heidari, A., Pierrelus, R., Leon, E., Shindo, S., Rawas-Qalaji, M., Pastore, M.R., Ikeda, A., Nakamura, S., Mawardi, H., Kandalam, U., Hardigan, P., Witek, L., Coelho, P.G., & Kawai, T. Locally Secreted Semaphorin 4D Is Engaged in Both Pathogenic Bone Resorption and Retarded Bone Regeneration in a Ligature-Induced Mouse Model of Periodontitis. International Journal of Molecular Sciences, 23(10), 5630 (2022).

  • Babanejad, N., Kandalam, U., & Omidian, H. Functional properties of thermally tampered poly (ethylene oxide). Bioimplants, 12(5), 471-476 (2022).

  • Shindo, S., Savitri, I.J., Ishii, T., Ikeda, A., Pierrelus, R., Heidari, A., Okubo, K., Nakamura, S., Kandalam, U., Kawai, T., et al. Dual-Function Semaphorin 4D Released by Platelets: Promotion of Suppression of Osteoblastogenesis and Osteoclastogenesis. International Journal of Molecular Sciences, 23(6), 2938 (2022).

  • Babanejada, N., Kandalam, U., Ahmad, R., Omidian, Y., & Omidian, H. Abuse-deterrent properties and cytotoxicity of poly (ethylene oxide) after thermal tampering. International Journal of Pharmaceutics, 600(1), 120481 (2021).

  • Kandalam, U., Kawai, T., Ravindran, G., Brockman, R., Romero, J., Munro, M., Ortiz, J., Heidari, A., Thomas, R., Kuriakose, S., Naglieri, C., Ejtemai, S., & Kaltman, S.I. Pre-differentiated Gingival Stem Cells Induced Bone Regeneration in Rat Alveolar Bone Defect Model. Tissue Engineering Part A, 5-6, 427-436 (2021).

 

Assoc. Prof. Dr. Fatih Ünal | Energy Simulation | Best Researcher Award

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Fatih Ünal | Energy Simulation | Best Researcher Award

Mechanical Engineering, Mersin University, Turkey

Fatih Ünal is an Associate Professor in the Department of Mechanical Engineering at Mersin University, specializing in energy systems, renewable energy applications, and thermal sciences. He earned his Bachelor’s degree in Mechanical Engineering from Dumlupinar University, followed by a Master’s degree in Heat and Process Engineering at Yildiz Technical University, where he conducted a thesis on the exergy analysis of thermal power plants. He later completed his Ph.D. in the same field at Yildiz Technical University, focusing on the applicability of solar-assisted vertical ground source heat pumps in Mardin. His academic career began at Mardin Artuklu University, where he served as Lecturer, Assistant Professor, and Head of Department, as well as Director of the Distance Teaching Application and Research Center. He later joined Mersin University, advancing to the rank of Associate Professor. His research contributions span photovoltaic performance analysis, solar-assisted Rankine cycles, hybrid energy systems, and geothermal heating applications, with numerous publications in international refereed journals. To date, he has authored 12 scientific documents that have been cited 86 times by 80 different sources, reflecting an h-index of 5, which highlights the growing recognition of his work. His academic journey reflects dedication to advancing renewable energy and sustainable engineering solutions.

Profile: Scopus | ORCID | Google Scholar

Featured Publications

Ünal, F., Şentürk Acar, M., & Demir, B. (2024). Evaluating photovoltaic panel efficiency during the cooling season in Mersin: Insights from alternative performance models. International Journal of Advanced Natural Sciences and Engineering Researches, 8(11), 636–640.

Ünal, F., Şentürk Acar, M., & Demir, B. (2024). Assessment of photovoltaic panel efficiency at various tilt angles in Mersin Province during the cooling season. International Journal of Advanced Natural Sciences and Engineering Researches, 8(11), 641–646.

Ünal, F., & Şentürk Acar, M. (2024). Exergoeconomic analysis of a solar assisted organic Rankine cycle: Case study of Mardin, Turkey. Thermal Science.

Boz, İ., Ayanoğlu, A., Ayas, G., & Ünal, F. (2022). Investigation of temperature effect on electrical efficiency for a photovoltaic–thermal hybrid system. International Journal of Science and Research, 11(8), 1158–1163.

Ünal, F., Akan, A. E., Demir, B., & Yaman, K. (2022). 4E analysis of an underfloor heating system integrated to the geothermal heat pump for greenhouse heating. Turkish Journal of Agriculture and Forestry, 46(5), 762–780.

Prof. Chun-pin Tseng | Catastrophe | Best Researcher Award

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Chun-pin Tseng | Catastrophe | Best Researcher Award

Associate Professor, Qilu Institute of Technology, China

Prof. Chun-pin Tseng is an accomplished scholar and professional in civil engineering, risk management, and disaster mitigation, currently serving as an Associate Professor at Qilu Institute of Technology in Shandong, China, while also leading Jenn-Don Engineering Consultants Inc. as CEO. He earned his Ph.D. in Civil Engineering and Risk Management from National Central University, where his dissertation focused on designing strategies for insurance and risk control that balanced economic effects with disaster mitigation. His academic journey also includes an MEng in Space and Remote Sensing, where his thesis on natural detection via GPS was recognized as excellent, and a BA in Civil Engineering. Throughout his career, he has held significant roles, including Duty Director at the National Chung-Shan Institute of Science and Technology, Senior Engineer at the Industrial Technology Research Institute, visiting scholar at Stanford University’s John A. Blume Earthquake Engineering Center, and consultant for STI Colleges and Education Centers. He has also co-founded Taiwan Risk Management Co., Inc., pioneering natural disaster risk analysis in Taiwan. His research contributions span earthquake insurance systems, natural disaster loss assessment, and dynamic financial analysis. With 24 published documents, 679 citations, and an h-index of 15, Prof. Tseng continues to advance scholarship in engineering and disaster risk management.

Profile: Scopus | ORCID

Featured Publications

Zhang, H. (2025). A closed-loop optimization system for evaluating the development effect and potential of producers with water alternating gas flooding. Processes.

Zhang, H. (2025). A dynamic characterization method for horizontal wells based on the gated recurrent unit: A case study of a carbonate reservoir in the Middle East. In Springer Series in Geomechanics and Geoengineering (Book chapter).

Tseng, C. (2025). GIS-based automated waterlogging depth calculation and building loss assessment in urban communities. Water.

Tseng, C. (2013). A new viewpoint of hazard assessment and management for Taiwan’s insurance issues. Natural Hazards.

Tseng, C. (2013). Application of GIS for the determination of hazard hotspots after direct transportation linkages between Taiwan and China. Natural Hazards.

Mr. Zhenduo Meng | Machine Learning | Best Researcher Award

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Zhenduo Meng | Machine Learning | Best Researcher Award

Inner Mongolia University, China

Zhenduo Meng is a graduate student pursuing his M.Sc. in Electronic Information Engineering at the School of Electronic Information Engineering, Inner Mongolia University, with a strong academic foundation built during his B.Eng. studies in Automation at Guangxi University. His research primarily focuses on multi-agent reinforcement learning (MARL), deep reinforcement learning, cooperative control of multi-agent systems, and the broader applications of artificial intelligence in intelligent decision-making. He has actively participated in several research projects, where he contributed to the development of algorithms integrating attention mechanisms and value decomposition methods to improve collaboration efficiency in MARL environments. Recently, his research work, “DDWCN: A Dual-Stream Dynamic Strategy Modeling Network for Multi-Agent Elastic Collaboration,” was accepted for publication in Applied Sciences (2025), highlighting his innovative contributions in the field. Despite being at the early stage of his academic journey, his scholarly output includes 2 documents, and his current citation count stands at zero, reflecting the fresh and emerging nature of his research profile. His h-index is also recorded as zero, consistent with his recent entry into the publication landscape. Proficient in Python, MATLAB, PyTorch, and TensorFlow, along with strong command of both Chinese and English, Meng demonstrates promising potential for impactful contributions in intelligent systems research.

Profile: Scopus

Featured Publications

Meng, Z., Na, X., Wang, T., Liu, J., & Wang, W. (2025). DDWCN: A dual-stream dynamic strategy modeling network for multi-agent elastic collaboration.

Wang, T., Na, X., Nie, Y., Liu, J., Wang, W., & Meng, Z. (2025). Parallel task offloading and trajectory optimization for UAV-assisted mobile edge computing via hierarchical reinforcement learning. Drones, 9(2),