Barham Farraj | Robotics Engineering | Best Researcher Award

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Mr. Barham Farraj | Robotics Engineering | Best Researcher Award

Mr. Barham Farraj | kromberg & schubert | Slovakia 

The researcher is a highly motivated and results-oriented Service and Development Engineer specializing in robotics, LiDAR systems, and autonomous driving technologies. His work focuses on bridging the gap between development and practical deployment of intelligent robotic systems, with a strong emphasis on perception, mapping, and navigation using LiDAR-based solutions. He has demonstrated exceptional technical expertise through hands-on experience at the Vehicle Research Center in Győr, Hungary, contributing significantly to autonomous vehicle research, system integration, and performance optimization. A key highlight of his research is the development of a real-time LiDAR-based urban road and sidewalk detection system for autonomous vehicles. This project integrates advanced LiDAR sensing with ROS2, C++, Python, and MATLAB, enabling robust environmental perception and accurate object classification in complex urban settings. By leveraging point cloud processing and machine learning techniques, his work enhances vehicle awareness, paving the way for safer and more efficient autonomous navigation. He has also contributed to major academic and industrial initiatives, including building and programming autonomous racing vehicles for international competitions such as RoboRacer and F1TENTH, and leading simulation-based testing in Gazebo and Foxglove environments. His research extends to transforming ROS1-based algorithms into ROS2 for improved modularity and scalability across multi-vehicle systems. In his current role at Kromberg & Schubert Automotive, Slovakia, he develops embedded applications and perception systems for industrial mobile platforms, integrating sensor data and diagnostics for enhanced reliability. His teaching and mentoring roles at Széchenyi István University reflect his dedication to knowledge transfer and educational impact in autonomous robotics. Through his combined research, engineering practice, and leadership, he has contributed to advancing LiDAR-driven perception, real-time mapping, and autonomous vehicle intelligence, marking him as a promising innovator in the field of intelligent mobility and robotic automation.

Profiles: Orcid

Featured Publications 

Barham Farraj, B. J., Alabdallah, A., Unger, M., & Horváth, E. (2025, October 31). Enhancing autonomous navigation: Real-time LiDAR detection of roads and sidewalks in ROS 2. Engineering Proceedings, 113(24). https://doi.org/10.3390/engproc2025113024

Krecht, R., Alabdallah, A. M. A., & Barham Farraj, B. J. (2025, October 28). Evaluation of SLAM methods for small-scale autonomous racing vehicles. Engineering Proceedings, 113(9). https://doi.org/10.3390/engproc2025113009

Alabdallah, A., Barham Farraj, B. J., & Horváth, E. (2025, October 28). ROS 2-based framework for semi-automatic vector map creation in autonomous driving systems. Engineering Proceedings, 113(13). https://doi.org/10.3390/engproc2025113013

Ivis Garcia | Research Excellence | Best Researcher Award

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Dr. Ivis Garcia | Research Excellence | Best Researcher Award

Dr. Ivis Garcia | Texas A&M University | United States

Dr. Ivis García, Ph.D., AICP, is an Associate Professor in the Department of Landscape Architecture and Urban Planning at Texas A&M University, with a distinguished record of scholarship, teaching, and community engagement in housing, urban policy, and social equity. Her research is grounded in the principles of community development, participatory planning, and social justice, with a particular emphasis on advancing diversity, equity, and inclusion within urban systems. Dr. García’s work focuses on asset-based community development (ABCD) approaches that empower marginalized populations to build capacity and resilience through locally driven solutions. She explores the intersections of housing policy, disaster recovery, gentrification, and displacement, particularly within Latino and Puerto Rican communities in the United States and the Caribbean. Her doctoral dissertation, “The Puerto Rican Identity: Reconstructing Ownership in the Face of Change,” set the foundation for a research agenda that bridges cultural identity with community-based planning and equitable housing strategies. Through her collaborations with organizations such as the Puerto Rican Cultural Center, Texas Appleseed, and Foundation for Puerto Rico, Dr. García integrates academic research with real-world impact, informing equitable policy design and participatory decision-making. She has been a Ford Foundation Fellow, Emerging Poverty Scholar, and recipient of numerous professional awards, including theTexas APA Student Project Award and the  Curriculum Innovation Award from the Lincoln Institute of Land Policy. Her research has contributed to national dialogues on resilient housing, participatory governance, and social vulnerability in urban environments, often linking theory to applied planning practice. By engaging communities directly in the research process, Dr. García exemplifies the model of a scholar-activist—translating knowledge into meaningful action that promotes inclusive, just, and sustainable urban futures. Her work continues to inspire transformative practices in housing equity and community resilience across diverse urban landscapes.

Profiles: Orcid

Featured Publications 

García, I. (2025). Earthship architecture as a pathway to post-hurricane resilience and energy independence: A case study analysis in Puerto Rico. Urban Science, 9(11), 446. https://doi.org/10.3390/urbansci9110446

Kim, M., García, I., Goetz, E., Hanlon, B., Monkkonen, P., Pendall, R., Pfeiffer, D., Reece, J., & Whittemore, A. (2025). Bring zoning back into the planning curricula. Journal of the American Planning Association. https://doi.org/10.1080/01944363.2025.2455162

García, I. (2025). Residential green infrastructure: Unpacking motivations and obstacles to single-family-home tree planting in diverse, low-income urban neighborhoods. Sustainability, 17(16), 7412. https://doi.org/10.3390/su17167412

García, I. (2025). When the map does not tell the whole story: Integrating community voices into GIS gentrification analysis. Land, 14(8), 1510. https://doi.org/10.3390/land14081510

García, I., Jackson, A., Lee, C. A., Chrisinger, B., & Greenlee, A. J. (2025). On the outside looking in: Latina/o/x and African American student perspectives on community-engaged courses. Journal of Planning Education and Research. https://doi.org/10.1177/0739456X251339979

García, I. (2025). The poorer the neighborhood, the harder it is to reach the park: A GIS equity analysis from Salt Lake City. Sustainability, 17(9), 3774. https://doi.org/10.3390/su17093774

Tengping Jiang | Robotics Engineering | Best Researcher Award

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Dr. Tengping Jiang | Robotics Engineering | Best Researcher Award

Dr. Tengping Jiang | Nanjing Normal University | China

Dr. Tengping Jiang is an accomplished researcher and Associate Professor at the School of Geography, Nanjing Normal University, where he also serves as Deputy Director of the Department of Surveying and Mapping Engineering. His research focuses on 3D reconstruction, scene understanding, point cloud processing, and deep learning-based computer vision, with applications spanning intelligent transportation systems, digital twin cities, and plant phenotyping. Dr. Jiang earned his Ph.D. from the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, under the supervision of Prof. Bisheng Yang, and later conducted visiting research at the Eastern Institute of Technology, Ningbo, guided by Prof. Wenjun Zeng (IEEE Fellow). His scholarly contributions have advanced the integration of artificial intelligence with geospatial technologies, particularly through the development of innovative neural network architectures for semantic segmentation and structural feature extraction from LiDAR and urban scene point clouds. His highly cited works, published in leading journals such as ISPRS Journal of Photogrammetry and Remote Sensing and IEEE Transactions on Geoscience and Remote Sensing, include groundbreaking studies like RailSeg, LWSNet, and ShrimpSeg, which address complex challenges in automated urban and environmental data interpretation. Dr. Jiang has received multiple prestigious research grants, including the NSFC Young Scientists Fund (2025–2027) and the Natural Science Foundation of Jiangsu Province Young Scientists Fund (2024–2027). His projects emphasize fine-grained scene extraction, LiDAR data fusion, and energy-efficient modeling of urban environments. Beyond research, Dr. Jiang contributes extensively to academic service, serving on the Youth Editorial Boards of Plant Phenotype, Agriculture Communications, and Climate Smart Agriculture, and as a reviewer for top-tier conferences like CVPR and NeurIPS. Through his interdisciplinary expertise, Dr. Jiang continues to push the boundaries of 3D geospatial intelligence and its transformative applications in smart and sustainable cities.

Profiles: Orcid

Featured Publications 

Jiang, T., Wang, Y., Liu, S., Zhang, Q., Zhao, L., & Sun, J. (2023). Instance recognition of street trees from urban point clouds using a three-stage neural network. ISPRS Journal of Photogrammetry and Remote Sensing, 109, 305–334. https://doi.org/10.1016/j.isprsjprs.2023.04.010

Jiang, T., Zhang, Q., Liu, S., Liang, C., Dai, L., Zhang, Z., Sun, J., & Wang, Y. (2023). LWSNet: A point-based segmentation network for leaf–wood separation of individual trees. Forests, 14(7), 1303. https://doi.org/10.3390/f14071303

Jiang, T., Liu, S., Zhang, Q., Xu, X., Sun, J., & Wang, Y. (2023, September). Segmentation of individual trees in urban MLS point clouds using a deep learning framework based on cylindrical convolution network. International Journal of Applied Earth Observation and Geoinformation, 123, 103473. https://doi.org/10.1016/j.jag.2023.103473

Jiang, T., Yang, B., Wang, Y., Dai, L., Qiu, B., Liu, S., Li, S., Zhang, Q., Jin, X., & Zeng, W. (2023). RailSeg: Learning local–global feature aggregation with contextual information for railway point cloud semantic segmentation. IEEE Transactions on Geoscience and Remote Sensing, 61, 5704929. https://doi.org/10.1109/TGRS.2023.3319950

Jiang, T., Wang, Y., Zhang, Z., Liu, S., Dai, L., Yang, Y., Jin, X., & Zeng, W. (2023). Extracting 3-D structural lines of buildings from ALS point clouds using graph neural network embedded with corner information. IEEE Transactions on Geoscience and Remote Sensing, 61, 5702615. https://doi.org/10.1109/TGRS.2023.3278589

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

Ashraf Sadat Shahvelayati | Green Chemistry | Excellence in Research

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Assoc. Prof. Dr. Ashraf Sadat Shahvelayati | Green Chemistry | Excellence in Research

Assoc. Prof. Dr. Ashraf Sadat Shahvelayati | Islamic Azad University | Iran

Dr. Ashraf Sadat Shahvelayati, Associate Professor of Organic Chemistry at Islamic Azad University, Tehran, is a distinguished researcher specializing in organic synthesis, heterocyclic chemistry, and green catalysis. Her scientific contributions focus on developing eco-friendly and sustainable synthetic methodologies for the preparation of biologically active heterocycles and novel organic compounds with pharmaceutical relevance. Through innovative approaches such as microwave-assisted synthesis, solvent-free techniques, and the application of nanostructured and heterogeneous catalysts, Dr. Shahvelayati has advanced the frontiers of green chemistry and reaction engineering. Her work bridges fundamental organic chemistry with industrially applicable catalytic systems, aiming to minimize environmental impact while enhancing efficiency and selectivity in chemical transformations. Her studies on catalyst design, structure–activity relationships, and heterocyclic frameworks have contributed valuable insights to medicinal and materials chemistry. She has collaborated extensively with national institutions such as Sharif University of Technology and the University of Tehran, as well as international partners from Turkey, Malaysia, and India, fostering interdisciplinary exchange and innovation. Dr. Shahvelayati has supervised numerous graduate theses, guided early-career researchers, and served as a reviewer for high-impact chemistry journals. Recognized for her dedication to research excellence and sustainable innovation, she continues to explore catalytic reaction mechanisms and the synthesis of multifunctional organic materials that address global challenges in health and environmental chemistry. Her bibliometric profile reflects a consistent record of impactful, high-quality research that underscores her role as a leading scholar in contemporary organic and green chemistry.

Hector Galindo-Silva | Research Excellence | Best Researcher Award

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Assoc. Prof. Dr. Hector Galindo-Silva | Research Excellence | Best Researcher Award

Assoc. Prof. Dr. Hector Galindo-Silva | Pontificia Universidad Javeriana | Colombia

Dr. Héctor Galindo-Silva is a distinguished scholar in economics whose research bridges political economy, institutional development, and conflict analysis. He completed his doctoral studies in Economics at Université de Montréal, followed by a postdoctoral fellowship at Universitat Pompeu Fabra’s Institute of Political Economy and Governance (IPEG). His academic journey reflects a deep interdisciplinary foundation, combining expertise in economics, philosophy, and the social sciences. Currently serving as an Associate Professor of Economics at Pontificia Universidad Javeriana, he has previously taught at Université de Montréal and held teaching appointments in both economics and philosophy. His teaching portfolio includes courses on political economy, microeconomics, conflict economics, and the economic analysis of social interactions. Dr. Galindo-Silva’s research explores the intersection of political institutions, conflict dynamics, religion, and economic outcomes. His publications have appeared in leading international journals such as the Journal of Public Economics, Economics & Politics, European Journal of Political Economy, Journal of Comparative Economics, Journal of Population Economics, and Journal of Economic Behavior & Organization. His recent work addresses themes such as ideological ambiguity, religious competition, education and gender norm transformation, and the political impact of climate change. In addition to his scholarly output, he has contributed to major research collaborations using big data and network theory, and his studies often integrate empirical and theoretical approaches to understand social and political processes. He serves as Associate Editor of Humanities and Social Sciences Communications and regularly reviews for high-impact journals in economics and political science. Throughout his career, Dr. Galindo-Silva has presented his research at numerous international conferences and academic institutions across Europe and the Americas, earning recognition for his analytical depth and interdisciplinary engagement in contemporary political economy.

Profile: Google Scholar

Featured Publications 

Galindo, H., Restrepo, J., & Sánchez, F. (2009). Conflicto y pobreza en Colombia: Un enfoque institucionalista. In Guerra y violencias en Colombia: Herramientas e interpretaciones (pp. 315–351). Universidad Javeriana.

Galindo-Silva, H. (2015). New parties and policy outcomes: Evidence from Colombian local governments. Journal of Public Economics, 126, 86–103. https://doi.org/10.1016/j.jpubeco.2015.04.004

Galindo-Silva, H., Some, N. H., & Tchuente, G. (2018). Fuzzy difference-in-discontinuities: Identification theory and application to the Affordable Care Act. arXiv preprint arXiv:1812.06537.

Galindo-Silva, H. (2021). Political openness and armed conflict: Evidence from local councils in Colombia. European Journal of Political Economy, 67, 101984. https://doi.org/10.1016/j.ejpoleco.2020.101984

Galindo-Silva, H., & Tchuente, G. (2023). Armed conflict and early human capital accumulation: Evidence from Cameroon’s Anglophone conflict. arXiv preprint arXiv:2306.13070.

Boris Wembe | Quantum Computing | Best Researcher Award

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Dr. Boris Wembe | Quantum Computing | Best Researcher Award

Dr. Boris Wembe | Paderborn University | Germany

Dr. Boris Wembe is a senior researcher at Paderborn University, Germany, specializing in optimal control theory and its diverse applications in quantum systems, geometric control, partial differential equations (PDEs), and machine learning. His research integrates analytical rigor with computational innovation, focusing on topics such as quantum optimal control, turnpike theory, and structure-preserving numerical methods. He earned his Ph.D. in Applied Mathematics from the University Toulouse III – Paul Sabatier, where he worked on geometric and numerical methods for optimal control and Zermelo navigation problems. Prior to his doctoral studies, he completed a master’s degree in Partial Differential Equations and a bachelor’s degree in Mathematics from the University of Yaoundé I, Cameroon. Dr. Wembe’s research achievements include developing efficient higher-order numerical algorithms for quantum control using the Cayley transform, advancing the theoretical understanding of the turnpike property in control systems, and exploring the geometric and numerical aspects of Zermelo navigation problems within Finsler geometry. His works have been published in leading journals such as Physical Review Research, Mathematical Control, Signals, and Systems, and ESAIM: Control, Optimisation and Calculus of Variations. He is actively involved in mentoring master’s and bachelor’s students and has organized seminars and symposia promoting the intersection of optimal control and machine learning. Beyond academia, he is committed to promoting mathematical sciences among students through outreach initiatives and lectures across Europe and Africa. Dr. Wembe’s contributions have been recognized with fellowships, including one at SISSA (Italy), and grants such as the SMAI “BOUM-projects” for young researchers. His ongoing projects include studies on “Trim turnpikes for discrete optimal control problems with symmetries” under review by DFG. Fluent in multiple languages and skilled in computational tools like Python, Matlab, and Julia, Dr. Wembe represents a dynamic blend of theoretical insight, computational expertise, and educational leadership in applied mathematics.

Profile: Google Scholar

Featured Publications 

Wembe, B., Bonnard, B., & Cots, O. (2021). A Zermelo navigation problem with a vortex singularity. ESAIM: Control, Optimisation and Calculus of Variations, 27, S10.

Bonnard, B., Cots, O., Gergaud, J., & Wembe, B. (2022). Abnormal geodesics in 2D-Zermelo navigation problems in the case of revolution and the fan shape of the small time balls. Systems & Control Letters, 161, 105140.

Bonnard, B., Rouot, J., & Wembe, B. (2022). Accessibility properties of abnormal geodesics in optimal control illustrated by two case studies. arXiv preprint arXiv:2202.11545.

Balsa, C., Cots, O., Gergaud, J., & Wembe, B. (2020). Minimum energy control of passive tracers advection in point vortices flow. In APCA International Conference on Automatic Control and Soft Computing (pp. 232–242).

Cots, O., Gergaud, J., Goubinat, D., & Wembe, B. (2023). Singular versus boundary arcs for aircraft trajectory optimization in climbing phase. ESAIM: Mathematical Modelling and Numerical Analysis, 57(2), 817–839.

Bonnard, B., Cots, O., & Wembe, B. (2023). Zermelo navigation problems on surfaces of revolution and geometric optimal control. ESAIM: Control, Optimisation and Calculus of Variations, 29, 60.

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.

Saravanan Periasamy | Biotechnology Awards | Best Academic Researcher Award

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Dr. Saravanan Periasamy | Biotechnology Awards | Best Academic Researcher Award

Dr. Saravanan Periasamy | Rajalakshmi Engineering College Autonomous Chennai India | India

Dr. Saravanan Periasamy is a leading researcher in the field of biofilm science and biotechnology. He serves as an Associate Professor at the Centre of Excellence in Biofilms, Rajalakshmi Engineering College, Chennai. His research focuses on microbial biofilms, exopolysaccharide characterization, and antibiofilm therapeutics. He has completed a prestigious DST-SERB-funded project with impactful scientific outcomes. Dr. Saravanan has published over 30 research papers in reputed SCI and Scopus-indexed journals. He has also contributed five book chapters with international publishers, including CRC Press. His editorial contributions include guest editing for Frontiers in Cellular and Infection Microbiology and Frontiers in Pharmacology. He actively reviews manuscripts for major publishers such as Elsevier, Springer, and Taylor & Francis. Dr. Saravanan’s research excellence is reflected in his 4,474 citations and h-index of 19. He continues to advance innovations in microbial biotechnology through impactful research and academic leadership.

Profile: Google Scholar

Featured Publications

Kolenbrander, P. E., Palmer, R. J., Jr., Periasamy, S., & Jakubovics, N. S. (2010). Oral multispecies biofilm development and the key role of cell–cell distance. Nature Reviews Microbiology, 8(7), 471–480. https://doi.org/10.1038/nrmicro2381

Periasamy, S., Joo, H. S., Duong, A. C., Bach, T. H. L., Tan, V. Y., Chatterjee, S. S., … & Otto, M. (2012). How Staphylococcus aureus biofilms develop their characteristic structure. Proceedings of the National Academy of Sciences, 109(4), 1281–1286. https://doi.org/10.1073/pnas.1115006109

Lee, K. W. K., Periasamy, S., Mukherjee, M., Xie, C., Kjelleberg, S., & Rice, S. A. (2014). Biofilm development and enhanced stress resistance of a model, mixed-species community biofilm. The ISME Journal, 8(4), 894–907. https://doi.org/10.1038/ismej.2013.194

Periasamy, S., & Kolenbrander, P. E. (2009). Mutualistic biofilm communities develop with Porphyromonas gingivalis and initial, early, and late colonizers of enamel. Journal of Bacteriology, 191(22), 6804–6811. https://doi.org/10.1128/JB.01006-09

Periasamy, S., & Kolenbrander, P. E. (2010). Central role of the early colonizer Veillonella sp. in establishing multispecies biofilm communities with initial, middle, and late colonizers of enamel. Journal of Bacteriology, 192(12), 2965–2972. https://doi.org/10.1128/JB.01631-09