Mr Tommaso Giordano | Risk assessment | Best Researcher Award |

Mr. Tommaso Giordano | Risk assessment | Best Researcher Award | 

PhD, at Consiglio Nazionale delle Ricerche , Italy

Mr. Tommaso Giordano is a dedicated research fellow at the Institute for Bioeconomy of the National Research Council (CNR-IBE) in Florence, Italy. With a multidisciplinary background spanning environmental engineering and development economics, he is currently pursuing a Ph.D. in Environmental Engineering through the prestigious International Doctorate in Civil and Environmental Engineering program at the University of Florence. His work is rooted in the intersection of urban environmental sustainability, data-driven risk assessment, and geospatial analysis. Mr. Giordano’s research is characterized by a strong commitment to applying statistical and technological tools to address real-world urban challenges.

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Education 🎓

Mr. Giordano holds a dual MSc degree in Development Economics from the University of Florence, Italy, and the University of Göttingen, Germany, as part of an esteemed joint program. His academic journey began with a High School Diploma from Liceo Scientifico “Piero Gobetti” and has progressed into doctoral-level research in environmental engineering. His master’s thesis focused on “Environmental regulation and innovation: empirical evidence for plastic,” highlighting his early interest in the interaction between environmental policy and technological development. His ongoing Ph.D. builds upon this interdisciplinary foundation, focusing on environmental modeling and urban sustainability.

Experience 👩‍

Mr. Giordano has served in various research fellow roles at CNR-IBE since March 2021, contributing to urban environmental projects funded by both national and local institutions. His responsibilities have included data collection, advanced statistical processing, geospatial analysis, and socio-economic evaluations for climate and sustainability initiatives. Prior to his research career, he completed a sales assistant internship at IRPLAST SpA, gaining experience in client services and data management systems. His professional background reflects a seamless integration of technical, analytical, and applied economic skills.

Research Interests 🔬

Mr. Giordano’s research primarily explores the application of statistical and geospatial methods to analyze urban environments, assess population risks related to natural and anthropogenic hazards, and evaluate ecosystem services. His work integrates data from IoT sensor networks, satellite imagery, and socio-economic indicators to provide holistic assessments of environmental quality, heat stress, and air pollution in urban settings. He has contributed to key research projects such as “Prato Urban Jungle,” “SMARTCITIES AIRQINO,” and “ADESFUR,” which aim to enhance urban resilience and sustainable planning through advanced data analytics.

Awards 🏆

Although still early in his career, Mr. Giordano has demonstrated noteworthy academic and research excellence. His consistent fellowship appointments at CNR-IBE reflect trust in his capabilities and the value of his contributions. His published research in internationally recognized journals, and his selection for doctoral studies at a competitive international program, further affirm his academic merit and potential as a leading researcher in the field.

Top Noted Publications 📚

Mr. Giordano has co-authored peer-reviewed scientific articles addressing key environmental issues. Notable publications include:

“Assessment of risk components for urban population to heat intensity and air pollution through a dense IoT sensor network” (Urban Climate, 2025), which explores how low-cost sensors can inform climate and health risk assessments in cities.

“Potential of low-cost PM monitoring sensors to fill monitoring gaps in areas of Sub-Saharan Africa” (Atmospheric Pollution Research, 2024), which underscores the global applicability of affordable environmental technologies.

Conclusion

Tommaso Giordano is highly suitable for a Best Researcher Award, particularly if aimed at early-career or emerging researchers in environmental engineering, urban climate, or sustainability science. He brings together technical rigor, societal impact, and cross-disciplinary training in a way that aligns well with current global research priorities.

If the award also values career trajectory, international collaboration, and data-driven innovation, he would be a strong contender. With further leadership, communication, and outreach, he could become a standout figure in urban environmental research in the next few years.

Assist. Prof. Dr Dan Liu | Transportation | Best Researcher Award |

Assist. Prof. Dr Dan Liu | Transportation | Best Researcher Award | 

Assistant professor, at Kean University, United States.

Dr. Dan Liu is an Assistant Professor at Kean University, USA, specializing in data analytics, deep learning, and combinatorial optimization applied to freight transportation, logistics, and sustainable supply chain management. With a strong academic and research background, she has contributed significantly to advancing resilient and sustainable transportation systems through cutting-edge methodologies and interdisciplinary collaborations.

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Education 🎓

Dr. Liu earned her Ph.D. in Management from Northwestern Polytechnical University, China (2013), following an M.S. in Economics and Management from Xi’an Technological University (2009) and a B.S. in Mechanical Electronic Engineering from the same institution (2006). Her education laid the foundation for her expertise in optimization, data-driven logistics, and urban freight systems.

Professional Experience 💼

Before joining Kean University (2024), Dr. Liu was an Associate Professor at the University of Shanghai for Science and Technology (2021-2024) and a Research Assistant Professor (2019-2021) and Postdoctoral Fellow (2019) at Florida Atlantic University, USA. She has also served as a Visiting Professor at Eindhoven University of Technology, Netherlands (2023), collaborating on sustainable freight and logistics research.

Research Interests 🌍

Her research explores deep learning, smart logistics, and sustainable transportation, with a particular interest in freight network resilience, last-mile delivery optimization, and intermodal transport systems. She applies AI, data-driven decision-making, and optimization techniques to enhance supply chain efficiency while promoting environmental sustainability.

Awards & Honors 🏆

Dr. Liu has received several accolades, including the Shaanxi Province Science & Technology Award for collaborative product development, the Transportation Science and Technology Award (2019) for intermodal freight network design, and recognition for her work on IoT applications for autism care (2016). Her contributions in transportation planning and logistics research have earned her widespread recognition.

Top Noted Publications 📚

Predicting Freeway Traffic Crash Severity Using XGBoost‐Bayesian Network Model with Consideration of Features Interaction – Y. Yang, K. Wang, Z. Yuan, D. Liu79 citations, Journal of Advanced Transportation, 2022

Design of Sustainable Urban Electronic Grocery Distribution Network – D. Liu, Z. Deng, W. Zhang, Y. Wang, E.I. Kaisar67 citations, Alexandria Engineering Journal, 2021

Two-Echelon Vehicle-Routing Problem: Optimization of Autonomous Delivery Vehicle-Assisted E-Grocery Distribution – D. Liu, Z. Deng, X. Mao, Y. Yang, E.I. Kaisar63 citations, IEEE Access, 2020

Hybrid Artificial Immune Algorithm for Optimizing a Van-Robot E-Grocery Delivery System – D. Liu, P. Yan, Z. Pu, Y. Wang, E.I. Kaisar37 citations, Transportation Research Part E, 2021

Design and Freight Corridor-Fleet Size Choice in Collaborative Intermodal Transportation Network Considering Economies of Scale – D. Liu, Z. Deng, Q. Sun, Y. Wang, Y. Wang29 citations, Sustainability, 2019

Conclusion

Dr. Dan Liu is a strong candidate for the Best Researcher Award due to high-quality publications, international collaborations, and leadership in transportation and supply chain research. Strengthening citation metrics, securing major grants, and expanding interdisciplinary work could further solidify competitiveness.