Sayed Abdul Majid Gilani | Emerging Technologies | Best Researcher Award

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Dr. Sayed Abdul Majid Gilani | Emerging Technologies | Best Researcher Award

Dr. Sayed Abdul Majid Gilani | Birmingham City University | United Kingdom

Dr. Sayed Abdul Majid Gilani is an accomplished researcher in electrical and electronic engineering, specializing in embedded systems, automation, and control engineering. His multidisciplinary research integrates hardware design, sensor networks, and artificial intelligence to develop innovative and energy-efficient solutions for real-world challenges. With over a decade of experience in academia and applied research, Dr. Gilani has contributed significantly to the advancement of embedded control technologies, renewable energy optimization, and industrial automation systems. His work emphasizes intelligent system design, IoT-based automation, and the integration of machine learning algorithms for enhanced performance and sustainability. Dr. Gilani has published extensively in high-impact journals and presented at leading international conferences, reflecting his global engagement and scientific rigor. He has also supervised numerous research projects and guided students in developing practical applications of emerging technologies. His research outputs demonstrate a strong commitment to technological innovation that bridges the gap between theory and application. Recognized for his academic excellence and collaborative research initiatives, Dr. Gilani continues to advance cutting-edge developments that contribute to the evolution of smart, adaptive, and efficient engineering systems—making him a deserving candidate for the Best Researcher Award.

Profiles: Google Scholar | Scopus | LinkedIn | Research Gate

Featured Publications 

Gilani, S. A. M., & Faccia, A. (2021). Broadband connectivity, government policies, and open innovation: The crucial IT infrastructure contribution in Scotland. Journal of Open Innovation: Technology, Market, and Complexity, 8(1), 1. https://doi.org/10.3390/joitmc8010001

Gilani, S. A. M., Copiaco, A., Gernal, L., Yasin, N., Nair, G., & Anwar, I. (2023). Savior or distraction for survival: Examining the applicability of machine learning for rural family farms in the United Arab Emirates. Sustainability, 15(4), 3720. https://doi.org/10.3390/su15043720

Gilani, S., Gernal, L., Tantry, A., Yasin, N., & Sergio, R. (2022). Leadership styles adopted by Scottish micro-businesses during the COVID-19 pandemic. In Proceedings of the International Conference on Business and Technology (pp. 144–156). Springer.

Al Jaghoub, J., Suleiman, A., Takshe, A. A., Moussa, S., Gilani, S. A. M., Sheikh, S., & others. (2024). The role of innovation in waste management for enterprises: A critical review of the worldwide literature. In Technology-Driven Business Innovation (pp. 453–464). Springer.

Gernal, L., Tantry, A., Gilani, S. A. M., & Peel, R. (2024). The impact of online learning and soft skills on college student satisfaction and course feedback. In Technology-Driven Business Innovation: Unleashing the Digital Advantage (pp. 42–54). Springer.

Gilani, S. A. M., Tantry, A., Askri, S., Gernal, L., & Sergio, R. (2023). Adoption of machine learning by rural farms: A systematic review. In Proceedings of the International Conference on Computing and Informatics (pp. 324–335). Springer.

Shadi Shayan | Emerging Technologies | Best Researcher Award

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Dr. Shadi Shayan | Emerging Technologies | Best Researcher Award

Dr. Shadi Shayan | Adelaide University | Australia

Dr. Shadi Shayan’s research lies at the intersection of project management, smart technologies, and social sustainability, focusing on how large-scale urban innovation programs can effectively manage social risks and deliver equitable outcomes. His scholarly work explores the dynamic relationships between technological transformation, social response, and governance frameworks in smart city development. By integrating change management models with risk management processes, Dr. Shayan has developed innovative frameworks that address the socio-demographic dimensions of smart city transitions—bridging theory, practice, and policy. His doctoral research, “Integrating change models and risk management processes: A framework to manage social risks in smart city programs”, provides a comprehensive model for mitigating community resistance and fostering inclusive participation in technologically driven urban initiatives. Dr. Shayan’s publications in leading journals such as Smart Cities, Sustainable Cities and Society, and International Journal of Construction Management advance understanding of how social factors, demographic variables, and stakeholder perceptions influence the success of smart city and infrastructure projects. A consistent theme in his research is the application of systems thinking and socio-technical analysis to enhance decision-making in project and program management. He also examines the evolving roles of professionals, including engineers and quantity surveyors, in adapting to emerging technological and societal challenges. Dr. Shayan’s work has significant implications for both academia and industry. It informs policy frameworks for smart urban governance, supports organizational strategies for managing social risk, and contributes to sustainable and resilient infrastructure planning. Through interdisciplinary collaborations and active engagement with the Smart Cities Council Australia New Zealand, he connects research with real-world impact—helping shape cities that are not only technologically advanced but also socially responsible and inclusive.

Profiles: Google Scholar | LinkedIn

Featured Publications 

Shayan, S., & Kim, K. P. (2025). Social responses and change management strategies in smart city transitions: A socio-demographic perspective. Smart Cities, 8(6), 188. https://doi.org/10.3390/smartcities8060188

Shayan, S., & Kim, K. P. (2023). Understanding correlations between social risks and sociodemographic factors in smart city development. Sustainable Cities and Society, 89, 104320. https://doi.org/10.1016/j.scs.2022.104320

Shayan, S., & Kim, K. P. (2022). A conceptual framework to manage social risks for smart city development programs. In Resilient and responsible smart cities (pp. 77–86). Springer, Cham. https://doi.org/10.1007/978-3-030-98423-6_6

Shayan, S., Kim, K. P., Ma, T., & Nguyen, T. H. D. (2020). The first two decades of smart city research from a risk perspective. Sustainability, 12(21), 9280. https://doi.org/10.3390/su12219280

Shayan, S., & Kim, K. P., & Tam, V. (2019). Critical success factor analysis for effective risk management at the execution stage of a construction project. International Journal of Construction Management, 22(3), 379–386. https://doi.org/10.1080/15623599.2019.1624678

Yong Liu | Research Excellence | Innovative Research Award

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Assoc. Prof. Dr. Yong Liu | Research Excellence | Innovative Research Award

Assoc. Prof. Dr Yong Liu | Tianjin University | China

Dr. Yong Liu is an Associate Professor at the School of Electrical and Information Engineering, Tianjin University, China. With an extensive record of scholarly contributions, he has authored and co-authored over 100 technical papers, three books or book chapters, and more than 50 patents in electrical engineering. His research primarily focuses on ageing evaluation, defect diagnosis, and performance monitoring of outdoor insulators and power cables under complex atmospheric and electrical conditions. Dr. Liu’s pioneering work integrates advanced sensing technologies, signal processing, and artificial intelligence to improve the reliability and safety of high-voltage power transmission systems. His studies on leakage current characteristics, surface discharges, and magnetic field-based condition evaluation have significantly advanced diagnostic techniques for high-voltage alternating current (HVAC) and direct current (HVDC) equipment. Notable recent contributions include research on multi-scale leakage current feature extraction using graph neural networks, magnetic field feature analysis for power cable evaluation, and dynamic discharge behavior of ice-covered insulators under DC voltages. He has made substantial progress in understanding the electro-thermal and mechanical ageing mechanisms of polymeric insulators and cables, developing novel monitoring strategies and predictive models for insulation failure. His publications in leading journals such as IEEE Transactions on Dielectrics and Electrical Insulation, IEEE Access, Energies, and Polymers demonstrate his sustained excellence and influence in high-voltage engineering and applied materials science. As a member of the Chinese Society for Electrical Engineering (CSEE) and the Institute of Electrical and Electronics Engineers (IEEE), Dr. Liu actively contributes to international collaboration and academic exchange. His innovative research continues to support the development of smart grid technologies, advanced cable diagnostics, and climate-resilient power systems, positioning him as a leading scholar in electrical insulation and power engineering research.

Profile: Orcid

Featured Publications 

Liu, Y., Lin, M., Wei, H., Duan, X., Li, Z., & Fu, Q. (2025). Cable outer sheath defect identification using multi-scale leakage current features and graph neural networks. Energies, 18(21), 5687. https://doi.org/10.3390/en18215687

Liu, Y., Wang, M., Huang, Y., Han, T., & Du, B. (2024). Feature extraction of magnetic field for condition evaluation of HVAC power cable. IEEE Transactions on Dielectrics and Electrical Insulation. https://doi.org/10.1109/TDEI.2023.3342774

Liu, Y., Li, C., Yin, F., Du, B. X., & Farzaneh, M. (2024). Nonlinear traits of leakage current and dynamic actions of surface discharges on ice-covered insulators under DC voltages. IEEE Transactions on Dielectrics and Electrical Insulation. https://doi.org/10.1109/TDEI.2024.3373549

Liu, Y., Guo, Y., Wang, B., Li, Q., Gao, Q., & Wan, Y. (2024). Research on influencing factors and wind deflection warning of transmission lines based on meteorological prediction. Energies, 17(11), 2612. https://doi.org/10.3390/en17112612

Liu, Y., Xin, Y., Huang, Y., Du, B., Huang, X., & Su, J. (2024). Optimal design and development of magnetic field detection sensor for AC power cable. Sensors, 24(8), 2528. https://doi.org/10.3390/s24082528

Liu, Y., Xin, Y., Du, B., Huang, X., & Su, J. (2024, March 22). Optimal design and development of magnetic field detection sensor for AC power cable [Preprint]. Preprints. https://doi.org/10.20944/preprints202403.1352.v1

Guangqin Li | Innovation Impact | Best Researcher Award

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Prof. Guangqin Li | Innovation Impact | Best Researcher Award

Prof. Guangqin Li | Anhui University of Finance & Economics | China

Dr. Guangqin Li began his academic journey with a doctorate in Urban Economics and Management from Shanghai University of Finance and Economics and now serves as a professor and master’s supervisor at Anhui University of Finance & Economics. With deep research interests in the digital economy, industrial economy, environmental economy, and regional economy, he has established himself as a versatile scholar bridging theoretical insights and empirical applications. His bibliometric profile reflects 37 published documents, 1,847 citations from 1,765 citing documents, and an h-index of 18, underscoring his growing impact within the academic community. His publications span studies on the green transformation of industry, the interface of urban innovation and infrastructure investment, and the spatial dynamics of economic development. He has contributed extensively through consultancy projects and collaborations with industry and regional authorities and serves on editorial boards of key journals in his fields. His research output has helped inform policy discussions on how new infrastructure investment can catalyze innovation in cities, particularly by influencing talent agglomeration and economic clustering. Poised at the cutting edge of his disciplines, he continues to mentor rising scholars and engage in interdisciplinary work, positioning his future contributions to shape the intersection of digitalization, regional growth, and sustainability.

Profiles: Scopus | Orcid 

Featured Publications 

Zhang, B., & Li, G. (2025). New infrastructure special debt, agglomeration and urban innovation: Evidence from China. Economic Modelling.

Liu, W., & Li, G. (2025). Sci-tech finance and urban entrepreneurial activity: Evidence from China. Economic Change and Restructuring.

Li, G., & Niu, W. (2025). How does fintech promote urban innovation? Empirical evidence from China. Economic Change and Restructuring.

Fang, X., Liu, M., & Li, G. (2024). Can the green credit policy promote green innovation in enterprises? Empirical evidence from China. Technological and Economic Development of Economy.

Li, G., Jin, Y., & Gao, X. (2023). Digital transformation and pollution emission of enterprises: Evidence from China’s micro-enterprises. Energy Reports.

Vandi Dlama Kamaunji | Research Excellence | Best Researcher Award

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Dr. Vandi Dlama Kamaunji | Research Excellence | Best Researcher Award

Dr. Vandi Dlama Kamaunji | Tyeeli New Energy Company Limited | Nigeria

Dr. Vandi Dlama Kamaunji is a geologist and geochemist with a strong background in mineral exploration, petrology, geochemistry, and geological mapping. His professional experience spans academic, industrial, and research roles, focusing on the geological evolution, petrogenesis, and mineralization of alkaline and peralkaline complexes in Nigeria and China. He has served as an Exploration/Resource Geologist at Wanrun Mining Company Limited, where he led geological field surveys, core logging, mineral resource estimations, and geophysical data interpretation to support mineral exploration and development projects. His work also included environmental impact assessments, data management, and regulatory compliance. Previously, as a Part-Time Lecturer at Adamawa State University, he delivered courses in ore deposits and geochemistry, supervised research projects, and contributed to curriculum development and academic mentorship. Earlier in his career, he held a leadership role as Head of Geology at L&T Hydrogeo-Engineering Company, where he conducted geophysical surveys, oversaw mineral exploration operations, and managed multidisciplinary geological teams. Dr. Kamaunji’s research contributions include multiple publications in high-impact international journals such as Lithos, International Geology Review, Geological Journal, and Journal of African Earth Sciences. His studies cover diverse topics such as tectonomagmatic processes, isotopic geochemistry, remote sensing applications, and mineral resource potential in Nigeria’s basement complexes and ring structures. His scientific expertise encompasses mineralogy, isotope and trace-element geochemistry, ore deposit modeling, and analytical techniques such as EPMA, LA-ICP-MS, ICP-MS, XRF, and SEM. He is actively engaged in international collaborations and professional organizations, including the International Association of Geochemistry, European Association of Geochemistry, Society of Economic Geologists, and the Nigerian Mining and Geoscience Society. Dr. Kamaunji has received several academic and merit awards, including the Excellent Graduate Award (Ph.D.) and the Excellent Master’s Dissertation Award from the China University of Geosciences, as well as the prestigious Chinese Government Scholarships for both his Master’s and Doctoral studies.

Profile: Google Scholar

Featured Publications

Kamaunji, V. D., Wang, L. X., Ahmed, H. A., Zhu, Y. X., Vincent, V. I., & Girei, M. B. (2020). Coexisting A1 and A2 granites of Kudaru Complex: Implications for genetic and tectonic diversity of A-type granite in the Younger Granite Province, north-central Nigeria. International Journal of Earth Sciences, 109(2), 511–535. https://doi.org/10.1007/s00531-020-01818-8

Kamaunji, V. D., Wang, L. X., Ma, C. Q., Liu, J., & Zhu, Y. X. (2021). Petrogenesis and tectonic implication of the Permian–Triassic syenogranites from the eastern segment of the East Kunlun Orogen, China. Lithos, 402, 105932. https://doi.org/10.1016/j.lithos.2020.105932

Vincent, V. I., Wang, L. X., Zhu, Y. X., Kamaunji, V. D., Ahmed, H. A., Ntekim, E. E., & Cao, L. (2022). Onset of the anorogenic alkaline magmatism in the Nigerian Younger Granite Province: Constraints from the Daura and Dutse complexes. Lithos, 410, 106561. https://doi.org/10.1016/j.lithos.2021.106561

Vincent, V. I., Li, H., Girei, M. B., Förster, M. W., & Kamaunji, V. D. (2023). Tourmaline and zircon trace the nature and timing of magmatic-hydrothermal episodes in granite-related Sn mineralization: Insights from the Libata Sn ore field. American Mineralogist, 108(3), 552–571. https://doi.org/10.2138/am-2023-8334

Ahmed, H. A., Wang, L. X., Ma, C. Q., Abdallsamed, M. I. M., Girei, M. B., Zhu, Y. X., Vincent, V. I., & Kamaunji, V. D. (2021). Contrasting Neoproterozoic and Mesozoic granitoids in Zaranda Complex (Nigeria): Insights into the distinct origins, tectonic settings, and mineralization potential. International Journal of Earth Sciences, 110(4), 1389–1413. https://doi.org/10.1007/s00531-021-02021-z

 

Sayak Chatterjee | Research Excellence | Best Researcher Award

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Dr. Sayak Chatterjee | Research Excellence | Best Researcher Award

Dr. Sayak Chatterjee | University of Massachusetts | United States

Dr. Sayak Chatterjee is a distinguished Postdoctoral Research Scholar in the Department of Physics at the University of Massachusetts Amherst, USA, specializing in experimental high-energy nuclear and particle physics. His research focuses on precision measurements, detector development, and high-rate data acquisition systems for frontier experiments such as MOLLER at Jefferson Lab and CBM at FAIR, Germany. With advanced expertise in Gas Electron Multipliers (GEM), Cherenkov detectors, and GEANT4-based simulations, he has contributed significantly to detector innovation and performance optimization. Dr. Chatterjee has an impressive academic record, authoring 44 research documents with 179 citations and an h-index of 7, reflecting the impact of his contributions to detector physics. His scholarly excellence has been recognized through multiple international honors, including the Ernest Rutherford Best Researcher Award and the Young Research Grant at the Pisa Meeting on Advanced Detectors, Italy. Beyond research, he serves on editorial boards, reviews for leading journals, and actively mentors students, embodying excellence in both scientific innovation and academic leadership.

Profiles:  ORCID | Scopus | Google Scholar | LinkedIn

Featured Publications

Chatterjee, S. (2025). Characterization of Cherenkov detectors for the MOLLER experiment. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

Mandal, S., Chatterjee, S., Sen, A., Gope, S., Dhani, S., Hegde, A. C., … (2024). Investigation of the stability in the performance of triple GEM detectors for High Energy Physics experiments. Nuclear Instruments and Methods in Physics Research Section A.

Chatterjee, S., Sen, A., Das, S., & Biswas, S. (2023). Charging-up effect and uniformity study of a single mask triple GEM detector. Nuclear Instruments and Methods in Physics Research Section A.

Chatterjee, S., Sen, A., Das, S., & Biswas, S. (2023). Effect of relative humidity on the long-term operation of a single mask triple GEM chamber. Nuclear Instruments and Methods in Physics Research Section A.

Sen, A., Chatterjee, S., Das, S., & Biswas, S. (2023). Characterization of a new RPC prototype using conventional gas mixture. Nuclear Instruments and Methods in Physics Research Section A.

Alexander Migdal | Scientific Breakthroughs | Best Researcher Award

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Prof. Alexander Migdal | Scientific Breakthroughs | Best Researcher Award 

Prof. Alexander Migdal | Institute for Advanced Study | United States

Alexander A. Migdal is a renowned theoretical physicist with a lifetime of pioneering contributions to mathematical and theoretical physics. Currently a Member of the School of Mathematics at the Institute for Advanced Study, Princeton, he has advanced key areas of physics including quantum field theory, gauge theory, turbulence, and quantum gravity. Educated at the Landau Institute for Theoretical Physics, Migdal has held leading academic positions at prestigious institutions such as Princeton University and New York University. His groundbreaking work includes the Migdal–Kadanoff recursion equations, the Makeenko–Migdal loop equations in large-N QCD, the matrix model solution of two-dimensional quantum gravity, and recent advances in the exact solution of turbulence. Internationally recognized for his achievements, he has received distinguished honors such as the Landau–Weizmann Award and has delivered invited lectures across the globe, continuing to shape modern physics and inspire new generations of researchers.

Profile: Orcid | Google Scholar

Featured Publications

Migdal, A. (2025). Spontaneous quantization of the Yang–Mills gradient flow. Nuclear Physics B. Advance online publication.

Migdal, A. (2025). Duality of Navier–Stokes to a one-dimensional system. International Journal of Modern Physics A. Advance online publication.

Migdal, A. (2024, December 23). Fluid dynamics duality and solution of decaying turbulence. Preprints.

Migdal, A. (2024, November 12). Duality of the Navier–Stokes dynamics and lack of finite-time explosion (Version 2). Preprints.

Migdal, A. (2024, November 5). Duality of the Navier–Stokes dynamics and lack of finite-time explosion (Version 1). Preprints.

Migdal, A. (2024). Quantum solution of classical turbulence: Decaying energy spectrum. Physics of Fluids, 36(9), 095117.

Migdal, A. (2024, August 4). Quantum solution of classical turbulence: Decaying energy spectrum (Version 3). Qeios.

Migdal, A. (2024, July 9). Quantum solution of classical turbulence: Decaying energy spectrum (Version 14). Preprints.

Migdal, A. (2024, July 9). Quantum solution of classical turbulence: Decaying energy spectrum (Version 2). Qeios.

Migdal, A. (2024, July 3). Quantum solution of classical turbulence: Decaying energy spectrum. Qeios.

Migdal, A. (2024, June 3). Quantum solution of classical turbulence: Decaying energy spectrum (Version 12). Preprints.

Migdal, A. (2024, May 6). Quantum solution of classical turbulence: Decaying energy spectrum (Version 11). Preprints.

Raffaele Marotta | Industry Collaboration | Young Innovator Award

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Dr. Raffaele Marotta | Industry Collaboration | Young Innovator Award

University of Naples Federico II | Baker Hughes | Italy

Dr. Raffaele Marotta is an accomplished researcher in vehicle dynamics, control systems, and AI-driven estimation, with proven academic and industrial impact. He earned his Ph.D. in Industrial Engineering (Mechatronics) with honors from the University of Naples Federico II, focusing on AI-enhanced vehicle dynamics. His career includes key roles at the Italian National Research Council (CNR), TU Ilmenau, Tenneco, ZF Group, and currently Baker Hughes, where he leads the development of advanced control algorithms for sustainable energy systems. He has contributed significantly to the European OWHEEL project, developing active chassis control and virtual sensing strategies. His research integrates Kalman filtering, neural networks, reinforcement learning, and digital twins into practical solutions for automotive and energy applications. He has published 22 documents, with 83 citations across 42 sources and an h-index of 6, reflecting strong scientific visibility and influence. His works, published in IEEE and SAE journals, include pioneering studies on wheel displacement estimation, traction force prediction, and vehicle mass estimation. International collaborations across Italy, Germany, Belgium, and Lithuania highlight his global network and impact. Recognized by Nova Talent’s top  global talent network, he also mentors young engineers in STEM leadership programs. With his blend of theoretical innovation, experimental validation, and industrial application, Dr. Marotta stands out as a promising candidate for global research excellence awards.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

“Multi-output physically analyzed neural network for the prediction of tire–road interaction forces”

“Deep learning for the estimation of the longitudinal slip ratio”

“Estimation of the tire-road interaction forces by using Pacejka’s formulas with combined slips and camber angles”

“Active control of camber and toe angles to improve vehicle ride comfort”

“Improvement of traction force estimation in cornering through neural network”

“Camber angle estimation based on physical modelling and artificial intelligence”

“Electric vehicle corner architecture: driving comfort evaluation using objective metrics”

“A PID-Based Active Control of Camber Angles for Vehicle Ride Comfort Improvement”

“A strain-based estimation of tire-road forces through a supervised learning approach”

“On the prediction of the sideslip angle using dynamic neural networks”

“Neural Network-Based Virtual Measurement of Road Vehicle Wheel Displacements”

“Enhancing Wheel Vertical Displacement Estimation in Road Vehicles Through Integration of Model-Based Estimator with Artificial Intelligence”

“On the measurement of unsprung mass displacement of road vehicles through a model-based virtual sensor”

“Model-Based Vehicle Mass Estimation for Enhanced Adaptive Cruise Control Performance”

Fei Wang | Chemical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Fei Wang | Chemical Engineering | Best Researcher Award 

Assoc. Prof. Dr. Fei Wang | Baotou Teachers College | China

Dr. Fei Wang, an Associate Professor at Baotou Teachers College, earned a Ph.D. from Lanzhou University of Technology in 2021. Specializing in conjugated porous polymers (CPPs), Dr. Wang’s research focuses on the structural design, functionalization, and application of CPPs for environmental remediation. By fine-tuning pore structures and functional groups, Dr. Wang has developed high-performance CPP adsorbents for efficient removal of tetracycline antibiotics and metal ions, supported by comprehensive mechanistic insights. Recent work has also expanded into photothermal evaporation applications, showcasing the versatility and innovation in CPP-based material science.

Academic Profile 

Scopus

Education

Dr. Fei Wang completed her doctoral studies at Lanzhou University of Technology, earning a Ph.D. in 2021. During her doctoral research, she focused on the synthesis and application of conjugated porous polymers (CPPs), laying the foundation for her current work in advanced materials chemistry. Her academic training provided a strong background in polymer design, characterization techniques, adsorption science, and mechanistic analysis. The rigorous program at Lanzhou University of Technology, a respected institution in engineering and materials science, allowed her to develop both theoretical knowledge and hands-on laboratory expertise essential for advanced research in functional materials.

Professional Experience

Dr. Fei Wang currently serves as an Associate Professor at Baotou Teachers College, where she contributes to both undergraduate and graduate teaching, while leading a research group focused on environmental and material sciences. In this role, she has been actively involved in curriculum development, mentoring of student research projects, and interdisciplinary collaboration within the faculty. Since joining Baotou Teachers College, she has established a research niche in porous polymer synthesis, successfully integrating her academic background with applied environmental solutions. Her work bridges chemistry and environmental engineering, emphasizing practical material innovations for real-world problems such as wastewater treatment and pollutant removal.

Research Interests

Dr. Wang’s research is centered on the design, synthesis, and functionalization of conjugated porous polymers (CPPs) for environmental and energy-related applications. She has dedicated her work to understanding the relationship between polymer structure and performance, particularly in the context of adsorption of tetracycline antibiotics and heavy metal ions from contaminated environments. Her approach involves the precise tailoring of pore structures and functional groups to optimize selectivity, capacity, and regeneration performance. Additionally, she has extended her work into photothermal evaporation, exploring the use of CPPs in clean water production through solar-assisted desalination and evaporation. Her research integrates material chemistry, surface science, and environmental technology, contributing innovative solutions to global water and pollution challenges.

Awards and Recognition

While still at an early stage of her academic career, Dr. Wang has garnered recognition for her contributions to the field of functional polymer materials and environmental remediation. Her research outcomes, particularly in CPP-based adsorption systems, have been well-received in academic circles, with presentations at national conferences and publications in peer-reviewed journals. These accomplishments reflect her growing reputation as a promising researcher in the Chinese scientific community. Her contributions are considered impactful for both fundamental understanding and application-driven innovation in advanced material development.

Publications

Recovery of lanthanum by monolithic conjugated porous polymers from seawater with high selectivity

Author: Fei Wang , Gang Hu , Hanxue Sun , Jiyan Li , Yixin Liu , Junfang Gao
Journal: Desalination
Year: 2025

Conclusion

Dr. Fei Wang stands out as a dedicated and forward-thinking researcher whose work bridges advanced polymer chemistry with practical environmental solutions. Her expertise in the design and application of conjugated porous polymers demonstrates both scientific depth and societal relevance. With a strong academic background, growing research portfolio, and a commitment to innovation, she continues to make meaningful contributions to material science and environmental engineering. As an Associate Professor at Baotou Teachers College, she is well-positioned to drive impactful research and mentor the next generation of scientists in the field.

Azim Paksa | Research Excellence | Best Researcher Award

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Dr. Azim Paksa | Research Excellence | Best Researcher Award

Dr. Azim Paksa, Shiraz University of Medical Sciences, Iran

Dr. Azim Paksa holds a Ph.D. in Medical Entomology and Vector Control from Tehran University of Medical Sciences, with over 15 years of academic and field experience in vector biology, insecticide resistance, and mosquito ecology. He has led numerous research projects focused on disease vectors such as Anopheles, Aedes, and Blattella germanica, and has published extensively in peer-reviewed ISI and ISC journals. His work includes gene sequencing contributions to GenBank, active participation in national congresses, and involvement in public health initiatives across Iran. Dr. Paksa is a member of the Iranian Societies of Medical Entomology and Parasitology and is skilled in molecular biology techniques, data analysis (SPSS), and scientific publishing.

Author Profile

orcid

🎓 Early Academic Pursuits

Dr. A. Paksa’s academic journey in the field of medical entomology began with a strong foundation at the Tehran University of Medical Sciences, where he pursued and successfully completed a Bachelor’s, Master’s, and Ph.D. in Medical Entomology and Vector Control. His early academic years were marked by a deep interest in public health and vector-borne diseases, which naturally progressed into a lifelong dedication to research and fieldwork. His Master’s thesis focused on detecting resistance mechanisms to organophosphate and carbamate insecticides in Blattella germanica (German cockroach) collected from Tehran hospitals. Later, during his Ph.D., he conducted an extensive study on the genetic diversity, Wolbachia infection, and ecological features of Aedes caspius and Aedes vexans, both of which are significant vectors for arboviruses in Iran. This early research demonstrated his capability in both laboratory and field settings, laying the groundwork for his future contributions to medical entomology and public health.

👨‍🔬 Professional Endeavors

Dr. Paksa has served in multiple academic, research, and public health capacities, working closely with Tehran University of Medical Sciences, Kashan University of Medical Sciences, and Hormozgan University of Medical Sciences, among others. As an executive director and principal collaborator, he has led and completed over a dozen major research projects addressing critical issues in entomology, such as insecticide resistance, vector identification, and ecological surveys of disease-carrying arthropods. In addition to field studies, Dr. Paksa has been an active member of organizing and scientific committees in several national conferences, including the Vector-Borne Diseases and Climate Change Congress and the Iranian National Congress on Medical Entomology, demonstrating his leadership in scientific community engagement.

🧪 Contributions and Research Focus

Dr. Paksa’s contributions to medical entomology are vast and multifaceted. He has authored numerous peer-reviewed ISI and ISC publications, covering topics from mosquito larvicidal properties of essential oils to biochemical resistance mechanisms in disease vectors. His research often combines molecular biology, field ecology, and applied public health, making it both academically rigorous and practically applicable.  His work has been instrumental in identifying and combating insecticide resistance in Anopheles stephensi and Blattella germanica, two vectors of significant public health concern. He has also made critical gene sequence deposits in GenBank, contributing to the global scientific repository with data from Iranian vector species. Dr. Paksa’s dedication to natural product-based insect control is notable—his investigations into the larvicidal effects of Iranian indigenous plant essential oils have opened new avenues in eco-friendly vector control strategies.

🏆 Accolades and Recognition

Throughout his career, Dr. Paksa has earned recognition for both the quality and breadth of his research. His presence in multiple national scientific conferences, both as a presenter and an organizing committee member, speaks to the high regard in which he is held by peers. He has served as a referee for the Journal of Arthropod-Borne Diseases and evaluated proposals and books for Zabol University of Medical Sciences, further reflecting his expertise and trustworthiness in scientific evaluation. Moreover, his active membership in the Iranian Society of Medical Entomology and Medical Parasitology for over a decade underscores his commitment to scientific collaboration and advancement within his specialty.

🌍 Impact and Influence

Dr. Paksa’s research has had a direct impact on vector control policies, hospital hygiene practices, and disease prevention strategies in Iran. His work on cockroach and mosquito resistance mechanisms has influenced how hospitals and municipalities approach pest control. Furthermore, his studies on head lice prevalence in schoolchildren and tick infestation in livestock have provided critical insights into zoonotic disease transmission and public health education. By combining field data with molecular insights, Dr. Paksa bridges the gap between lab-based science and real-world applications—making his work especially valuable to policy-makers, healthcare providers, and environmental health professionals.

🔬 Legacy and Future Contributions

With a solid foundation built on two decades of field experience, scientific research, and public health collaboration, Dr. Paksa is well-positioned to continue making influential contributions in the years ahead. His current projects focus on the molecular mechanisms of resistance in vector populations and the development of environmentally sustainable vector control strategies. In the future, Dr. Paksa aims to deepen international collaborations, contribute to global malaria and arboviral control efforts, and mentor the next generation of entomologists in Iran and beyond. His legacy will likely be remembered not only for his extensive publication record and field innovations but also for his dedication to improving public health through evidence-based research.

✍️Notable Publications

Molecular assay on detection of crimean congo hemorrhagic fever (CCHF) virus in ixodid ticks collected from livestock in slaughterhouse from south of Iran

Contributors: Salehi-Vaziri, M.; Vatandoost, H.; Sanei-Dehkordi, A.; Fazlalipour, M.; Pouriayevali, M.H.; Jalali, T.; Mohammadi, T.; Tavakoli, M.; Paksa, A.; Abadi, Y.S.

Journal: Arthropod-Borne Diseases

Year:2020

Biodiversity of mosquitoes (Diptera: Culicidae) with emphasis on potential arbovirus vectors in East Azerbaijan province, northwestern Iran

Contributors: Paksa, A.; Sedaghat, M.M.; Vatandoost, H.; Yaghoobi-Ershadi, M.R.; Moosa-Kazemi, S.H.; Hazratian, T.; Sanei-Dehkordi, A.; Oshaghi, M.A.

Journal: Arthropod-Borne Diseases

Year: 2019

Wild chive oil is an extremely effective larvicide against malaria mosquito vector Anopheles stephensi

Contributors: Sanei-Dehkordi, A.; Soleimani-Ahmadi, M.; Abadi, Y.S.; Paksa, A.
Journal: Tropical Medicine
Year: 2019