Charly Julien Nyobe | Civil Engineering | Best Paper Award

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Dr. Charly Julien Nyobe | Civil Engineering | Best Paper Award

Chercheur at Ecole Normale Supérieure d’Enseignement Technique de Douala-Cameroun, Cameroon.

Charly Julien Nyobe 🎓 is a dedicated Cameroonian researcher and educator specializing in civil engineering, biomechanics, and material sciences. Born on March 11, 1985, in Garoua-Boulaï, he has pursued an extensive academic career, earning two PhDs and multiple engineering degrees. With a passion for structural mechanics, wood engineering, and impact mechanics, he actively contributes to cutting-edge research on sustainable construction materials. Currently, he teaches at the University of Douala and collaborates on international projects. An expert in statistical analysis, finite element methods, and material characterization, Nyobe is committed to advancing engineering solutions for real-world challenges. 🚀📚

Professional Profile:

Scopus

ORCID

Google Scholar

Suitability for the Award

Dr. Charly Julien Nyobe is a highly accomplished researcher in civil engineering, biomechanics, and material sciences, with extensive expertise in structural mechanics, wood engineering, and impact mechanics. His strong academic background, dual PhDs, and consistent research contributions demonstrate a deep commitment to advancing engineering knowledge, particularly in sustainable construction materials. His ability to bridge experimental, numerical, and theoretical methods in engineering makes him a strong contender for the Best Paper Award.

Education & Experience 📚

✅ Doctorate (PhD) in Mechanical Engineering – Université Gustave Eiffel, France (2022 – Ongoing)
✅ Doctorate (PhD) in Civil Engineering – École Nationale Supérieure Polytechnique de Yaoundé, Cameroon (2023)
✅ Master’s in Civil Engineering – University of Douala, Cameroon (2015)
✅ DIPET II (Master’s equivalent) in Civil Engineering – ENSET Douala, Cameroon (2011)
✅ DIPET I (Bachelor’s equivalent) in Civil Engineering – ENSET Douala, Cameroon (2009)
✅ DEUG in Computer Science – University of Yaoundé I, Cameroon (2006)
✅ Baccalauréat in Mathematics & Physics – Lycée d’Obala, Cameroon (2003)

💼 Work Experience:
✔️ Lecturer – University of Douala (2018 – Present)
✔️ Visiting Lecturer – École Supérieure de La Salle (2018 – 2022)
✔️ Lecturer – Institute of Technology, Douala (2018 – 2020)
✔️ Civil Engineering Teacher – Lycée Polyvalent de Bonabéri (2012 – 2018)

Professional Development 🚀

Charly Julien Nyobe is constantly engaged in professional development to stay at the forefront of engineering innovations. In 2023, he trained in LS-Dyna at IUT Lyon 1, France, refining his expertise in impact simulation and finite element modeling. Additionally, he enhanced his scientific visualization skills through an Inkscape training at the University of Lyon. As a member of the GDR Science du Bois (France) since 2019, he actively participates in collaborative research, focusing on wood mechanics, structural engineering, and impact analysis. His interdisciplinary approach blends experimental, numerical, and theoretical methods for innovative engineering solutions. 🌍🛠️📊

Research Focus 🔬

Dr. Nyobe’s research is centered on civil engineering, wood mechanics, and impact mechanics. His work spans mechanical characterization of materials, structural resilience, and numerical modeling. He is passionate about sustainable construction, particularly the use of tropical woods in engineering applications. His studies explore Monte Carlo simulations, Weibull statistical models, and multi-scale mechanical classification of materials. He also delves into shock mechanics, investigating crash simulations and road safety barriers using advanced software like LS-Dyna. His research contributes to eco-friendly building solutions, aiming to optimize wood-based engineering materials for durability and resilience. 🌳🏗️⚙️

Awards & Honors 🏆

🏅 2023 – PhD in Civil Engineering with “Très Honorable” distinction 🏛️
🏅 2015 – Master’s degree with “Très Bien” distinction 🎓
🏅 2011 – DIPET II with “Très Bien” distinction 🏗️
🏅 2009 – DIPET I with “Très Bien” distinction 🏢
🏅 2006 – DEUG in Computer Science with “Assez Bien” distinction 💻
🏅 2003 – Baccalauréat in Mathematics & Physics with “Assez Bien” distinction 📏

Publication Top Notes

  • Moisture content-mechanical property relationships for two okan (Cylicodiscus gabunensis) substitutes

    • Authors: Nyobe Charly Julien, Oum Lissouck René, Nyobe Nicolas Stephane, Goumgang Tassile Rolande, Ayina Ohandja Louis Max​
    • Publication Year: 2025​
    • DOI: 10.1080/17480272.2025.2476659​

  • Mode I cracking of three tropical species from Cameroon: the case of bilinga, dabema, and padouk wood

    • Authors: Rosmi Biyo’o, Achille Bernard Biwole, Rostand Moutou Pitti, Charly Julien Nyobe, Benoit Ndiwe, Emile Jonathan Onana, Emmanuel Yamb​
    • Publication Year: 2024​
    • DOI: 10.1080/17480272.2024.2314750​

  • Effect of slope of grain on mechanical properties of some tropical wood species

    • Authors: Charly Julien Nyobe, Nicolas Stéphane Nyobe, Jean Bertin Nkibeu, René Oum Lissouck, Louis Max Ayina Ohandja​
    • Publication Year: 2024​
    • DOI: 10.1080/17480272.2024.2356047​

  • A Review on Methods for Determining the Vibratory Damping Ratio

    • Authors: Nkibeu Jean Bertin, Charly Julien Nyobe, Moussa Sali, Madja Doumbaye Jerémie​
    • Publication Year: 2023​
    • DOI: 10.4236/ojce.2023.132015​

  • Determination of the Vibratory Damping Ratio: A Methodological Review

    • Authors: Nkibeu Jean Bertin, Charly Julien Nyobe, Moussa Sali, Madja Doumbaye Jerémie​
    • Publication Year: 2023​
    • DOI: 10.9734/bpi/rader/v9/1804g​

  • Variability of the mechanical strength of Congo Basin timbers

    • Author: Charly Julien Nyobe​
    • Publication Year: 2021​
    • DOI: 10.1080/17480272.2021.1912173​

Nurul Musfirah Mazlan | Engineering | Best Researcher Award

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Dr. Nurul Musfirah Mazlan | Engineering | Best Researcher Award

Lecturer At School Of Aerospace Engineering, Universiti Sains Malaysia, Malaysia

Dr. Nurul Musfirah Mazlan is a dedicated lecturer and researcher specializing in Aerospace Propulsion and Biofuels. She is currently a DS51 Lecturer at Universiti Sains Malaysia (USM), where she contributes to both teaching and research in the field of aerospace engineering. With a strong academic background and an extensive supervision portfolio of postgraduate and undergraduate students, she has played a vital role in advancing research related to sustainable aviation fuels and propulsion systems. Dr. Nurul Musfirah is also an active member of The American Society of Mechanical Engineers (ASME) and the Board of Engineers Malaysia (BEM), demonstrating her commitment to professional excellence. Her research focuses on alternative fuel technologies, nanoparticles as fuel additives, and propulsion system optimization, contributing significantly to green aviation efforts. Through her dedication to academia and innovation, she continues to make an impact in the aerospace engineering field.

Professional Profile

Education

Dr. Nurul Musfirah Mazlan obtained her Doctor of Philosophy (PhD) from Cranfield University, UK, specializing in Aerospace Propulsion and Biofuels. Her doctoral research focused on sustainable aviation fuels, particularly investigating the combustion performance of biofuels and alternative energy sources in aerospace applications. Prior to her PhD, she completed her undergraduate and master’s degrees in engineering, equipping her with a strong foundation in thermodynamics, propulsion systems, and fuel technologies. Her academic journey has been driven by a passion for developing environmentally friendly solutions for the aerospace industry, with a focus on reducing carbon emissions and improving fuel efficiency. Throughout her education, she has worked on multiple experimental and computational research projects, collaborating with international researchers to advance knowledge in alternative propulsion technologies. Her educational background has provided her with a solid expertise in combustion analysis, computational fluid dynamics (CFD), and aerospace fuel innovations.

Professional Experience

Dr. Nurul Musfirah Mazlan is currently serving as a Lecturer (DS51) at Universiti Sains Malaysia (USM), where she teaches undergraduate and postgraduate courses related to aerospace propulsion, thermodynamics, and fuel technologies. Over the years, she has actively supervised numerous PhD, MSc, and undergraduate students, guiding research in biofuels, propulsion systems, and nanotechnology applications in aerospace. While she does not have direct industry experience before joining USM, her work significantly contributes to practical aerospace applications through collaborations with academic and research institutions. In addition to teaching, she is involved in curriculum development, laboratory research, and mentoring students in experimental and computational studies. Her multidisciplinary approach allows her to bridge the gap between theory and real-world aerospace engineering challenges, making her a valuable academician and researcher in the field of sustainable aviation technology.

Research Interest

Dr. Nurul Musfirah Mazlan’s research focuses on Aerospace Propulsion, Biofuels, and Sustainable Energy Technologies. Her primary areas of interest include the development and performance analysis of biojet fuels, nano-additives for combustion efficiency, and solid rocket propulsion systems. She has conducted extensive research on Hydrotreated Vegetable Oil (HVO) blended with Jet-A fuel, evaluating its engine performance, emission characteristics, and sustainability. Additionally, her work explores computational fluid dynamics (CFD) simulations to study the interaction of alternative fuels with turbine blades and combustion systems. She is also interested in experimental and modeling approaches for improving rocket propulsion efficiency and reducing emissions in aircraft engines. By integrating nanotechnology with fuel research, Dr. Nurul Musfirah aims to develop greener and more efficient propulsion solutions for the aviation and aerospace industry, contributing to global efforts toward sustainable aviation fuel development.

Awards and Honors

Dr. Nurul Musfirah Mazlan has received several recognitions and honors for her contributions to aerospace propulsion and alternative fuel research. While specific awards are not listed in the provided details, her academic and research achievements are evident through her supervision of high-impact projects, international collaborations, and contributions to sustainable aviation research. Her role as a supervisor for multiple PhD and MSc students working on innovative propulsion technologies is a testament to her expertise and dedication to academia. Additionally, her involvement with The American Society of Mechanical Engineers (ASME) and the Board of Engineers Malaysia (BEM) highlights her professional standing and recognition in the engineering community. As she continues to push the boundaries of biofuel and propulsion research, she is well-positioned to receive further recognition for her groundbreaking contributions to the aerospace industry.

Conclusion

Dr. Nurul Musfirah Mazlan is a strong candidate for the Best Researcher Award, given her extensive research contributions in aerospace propulsion and biofuels, graduate supervision, and technical expertise. Her work aligns with sustainable aviation efforts, making her research highly relevant. To further strengthen her case, industry collaborations, securing more grants, and taking leadership roles in global research organizations would enhance her profile.

Publications Top Noted

1. Spray Behaviour of Hydro-Treated Ester Fatty Acids Fuel Made from Used Cooking Oil at Low Injection Pressures

  • Authors: Azam, Q., Sulaiman, S.Z., Abdul Razak, N.A., & Mazlan, N.M.
  • Year: 2024
  • Journal: Aeronautical Journal
  • Citations: 1

2. Influence of Oxyhydrogen Gas Retrofit into Two-Stroke Engine on Emissions and Exhaust Gas Temperature Variations

  • Authors: Kamarudin, R., Ang, Y.Z., Topare, N.S., Baig, R.U., Sultan, S.M., & Mazlan, N.M.
  • Year: 2024
  • Journal: Heliyon
  • Citations: 2

3. Analysis Study of Thermal and Exergy Efficiency in Double-Layers Porous Media Combustion Using Different Sizes of Burner: A Comparison

  • Authors: Ismail, N.C., Abdullah, M.Z., Mazlan, N.M., Rusdi, M.S.B., & Kamarudin, R.
  • Year: 2024
  • Journal: Pertanika Journal of Science and Technology
  • Citations: 0

4. Effect of NCO/OH Ratio and Binder Content with Micro-AP on HTPB/AP/Al-Based Propellants Mechanical Properties

  • Authors: Adnana, Z., & Mazlan, N.M.
  • Year: 2024
  • Journal: Advances in Materials Research (South Korea)
  • Citations: 0

 

Tianyi Li | Transportation Engineering | Best Researcher Award

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Prof. Tianyi Li | Transportation Engineering | Best Researcher Award

Assistant Professor, Saint Louis University, United States

Tianyi Li is an Assistant Professor in the Department of Civil Engineering at Saint Louis University. His research interests lie at the intersection of transportation engineering, cyber-physical systems (T-CPS), and machine learning, with a focus on traffic modeling, safety, and urban mobility. Prior to his current role, Li earned his Ph.D. in Transportation Engineering from the University of Minnesota, where he worked under the guidance of Dr. Raphael Stern. He holds a Master’s degree from the University of Washington and a Bachelor’s degree from Iowa State University. Li’s interdisciplinary expertise includes the application of data science and machine learning to improve traffic flow, safety, and sustainability. He has gained industry experience working with organizations like Futurewei Technology and the Washington State Department of Transportation. His ongoing research contributes significantly to advancing the understanding of smart cities, transportation systems, and public safety.

Profile

Orcid

Education 

Tianyi Li holds a Ph.D. in Transportation Engineering from the University of Minnesota, which he is expected to complete in June 2024. Under the mentorship of Dr. Raphael Stern, his doctoral research explores transportation-cyber-physical systems (T-CPS) and the integration of machine learning in transportation systems. Li also earned a Master of Science in Transportation Engineering from the University of Washington in December 2019, where he worked with Dr. Yinhai Wang. During his undergraduate years at Iowa State University, Li graduated with a Bachelor of Science in Civil Engineering in May 2017, earning cum laude honors and membership in Tau Beta Pi. He also received certifications in Python programming, machine learning, and data science through Coursera. Li’s academic training has provided him with a solid foundation in transportation engineering, data analysis, and the application of cutting-edge technologies like AI and machine learning to transportation systems.

Experience 

Tianyi Li has diverse experience both in academia and industry. Since August 2024, he has been serving as an Assistant Professor in the Department of Civil Engineering at Saint Louis University. In this role, he focuses on conducting research and teaching students about transportation systems, cyber-physical systems, and data science. Li’s industry experience includes a summer internship at Futurewei Technology in Bellevue, Washington, where he worked on applied machine learning for smart cities and contributed to a journal paper on taxi mobility services. In addition, he interned with the Washington State Department of Transportation in 2019, focusing on tolling data analysis, performance evaluations, and operational improvements. Li also gained early career experience as an Assistant Engineer Intern with China Railway First Group in 2017, where he participated in site surveys, field measurements, and AutoCAD drawing. His internships provided him valuable hands-on experience in the transportation field, bridging academic research and real-world applications.

Awards and Honors 

Tianyi Li has received numerous prestigious awards throughout his academic and professional career. Notable recognitions include the Dwight David Eisenhower Transportation Fellowship (2021-2024), which supports his ongoing research on transportation systems. He also received the Matthew J. Huber Award for Excellence in Transportation Research and Education in 2024, which acknowledges his exceptional contributions to the field of transportation engineering. Li has earned multiple Department of Civil, Environmental, and Geo-Engineering Travel Awards (2023), enabling him to present at international conferences. Additionally, he was awarded the Best Presentation Award at the UMN Transportation Seminar in 2022 for his outstanding work in transportation research. Other honors include the NSF Travel Award, the Transportation Research Board (TRB) Student Travel Award, and the 2022 ITS Minnesota Educational Scholarship. Li has also received multiple Dwight David Eisenhower Transportation Fellowships (2021-2023), which have supported his research initiatives in transportation safety and smart mobility.

Research Focus 

Tianyi Li’s research focuses on the intersection of transportation systems, cyber-physical systems (T-CPS), and machine learning. His work aims to integrate advanced data science techniques into transportation engineering to improve traffic flow, safety, and urban mobility. Key research topics include traffic estimation, modeling, and control, with a particular emphasis on leveraging machine learning and deep learning methods to optimize transportation systems. Li has explored the energy impacts of cyberattacks on adaptive cruise control vehicles, as well as the detection of stealthy cyberattacks on automated vehicles. His research also addresses transportation safety, including driver behavior at unsignalized intersections and pedestrian-driver interactions. Li’s focus on sustainable urban mobility involves developing innovative solutions for smart cities, incorporating the integration of public transit signal priority into traffic signal control. Overall, his interdisciplinary research aims to advance transportation infrastructure using emerging technologies to create safer, more efficient, and sustainable urban transportation systems.

Publications 

  1. Identifying built environment factors influencing driver yielding behavior at unsignalized intersections: A naturalistic open-source dataset collected in Minnesota 🛣️🚗
  2. Exploring Energy Impacts of Cyberattacks on Adaptive Cruise Control Vehicles 🚙💻
  3. Naturalistic open-source pedestrian-driver yielding dataset collected in Minnesota 🚶‍♂️🚗
  4. Car-following-response Based Vehicle Classification via Deep Learning 🧠🚘
  5. Assessing the Impact of Disruptive Events on Urban Mobility: A Case Study of Chicago Taxis during COVID-19 🚖📉
  6. Integrating public transit signal priority into max-pressure signal control: Methodology and simulation study on a downtown network 🚍🚦
  7. Detecting Stealthy Cyberattacks on Automated Vehicles via Generative Adversarial Networks 🛑🤖
  8. Robustness of vehicle identification via trajectory dynamics to noisy measurements and malicious attacks 🚙🔒
  9. Taxi Utilization Rate Maximization by Dynamic Demand Prediction: A Case Study in the City of Chicago 🚖📊

Ehsan Kohanpour | Transportation | Best Researcher Award

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Mr. Ehsan Kohanpour | Transportation | Best Researcher Award

Research assistant, Gorgan university, Iran

Profile

Orcid

Ehsan Kohanpour is an accomplished civil engineering professional and researcher. He completed his Bachelor’s degree at Iran Technical and Vocational University in 2018, graduating at the top of his class. Pursuing his passion for advanced studies, he earned his Master’s degree from Golestan University (2021-2024), where he served as a dedicated research assistant. His research journey is marked by a keen focus on transportation safety, smart cities, and the intersection of machine learning with autonomous vehicle technology.

Education 🎓

Ehsan Kohanpour holds a Bachelor’s degree in Civil Engineering from the Iran Technical and Vocational University (2018), where he graduated with top honors. He continued to excel in academia by earning a Master’s degree from Golestan University, completing his studies in 2024 with distinguished recognition in his cohort.

Experience 🛠️

Throughout his academic tenure, Kohanpour has gained substantial experience as a research assistant at Golestan University. His contributions in traffic safety and intelligent transportation systems have solidified his expertise. His work has been pivotal in projects related to autonomous vehicles and sustainable transportation solutions, blending practical engineering knowledge with cutting-edge technology and analytics.

Research Interests 🔬

Kohanpour’s research is rooted in the exploration of modern transportation systems. His interests include autonomous vehicles, traffic safety, machine learning, road safety analysis, and the design of smart, sustainable cities. He is dedicated to advancing knowledge in intelligent transport automation and integrating machine learning to improve traffic engineering and overall public safety.

Honors and Awards 🏅

  • Top Graduate (2018): Recognized as the highest-ranked graduate in Civil Engineering at Iran Technical and Vocational University.
  • Top Graduate (2023): Distinguished as the leading student at Golestan University’s Faculty of Engineering, reflecting his academic dedication and research excellence.

Publications Top Notes 📝

  • Analyzing Autonomous Vehicle Collision Types to Support Sustainable Transportation Systems: A Machine Learning and Association Rules Approach
    Published in Sustainability, 13 November 2024.
    Read Article

Amirhossein Baghestan | Transportation | Interdisciplinary Research Excellence Award -2537

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 Prof Dr. Amirhossein Baghestan |     Transportation | Interdisciplinary         Research Excellence Award 

Prof Dr. Amirhossein Baghestan, Shahid Beheshti University, Iran

Dr. Amirhossein Baghestani is an Assistant Professor of Civil Engineering at Shahid Beheshti University in Tehran, Iran. With a strong background in transportation engineering, he specializes in evaluating traffic and emissions impacts, travel behavior analysis, and Transportation system optimization. He earned his PhD from City College of New York, where he focused on New York City’s cordon pricing. His academic and research career spans both the U.S. and Iran, reflecting a commitment to improving urban transportation systems.

Profile

scopus

Strengths for the Award:

  1. Diverse Research Background: Dr. Amirhossein Baghestani has an impressive and varied research background across multiple institutions and countries, including his current role at Shahid Beheshti University and past positions at Tarbiat Modares University, NYMTC, and City College of New York. His work spans key areas of transportation, such as demand management, traffic impacts, and logistics.
  2. Innovative Projects: His involvement in interdisciplinary projects, such as the impact of cordon pricing on New York City and COVID-19’s effect on travel behavior in Tehran, showcases his ability to integrate various fields and address complex, real-world issues. His projects often blend transportation with environmental and economic concerns, reflecting a broad and relevant scope.
  3. Teaching and Mentoring: As an Assistant Professor, Dr. Baghestani contributes to the development of future experts in transportation engineering and related fields. His teaching roles cover a broad range of subjects, including transportation demand analysis and operations research, demonstrating his capability to bridge theory and practice.
  4. Peer Reviewing and Academic Engagement: His extensive peer-review experience with reputable journals indicates his active role in advancing the field and engaging with a wide range of interdisciplinary topics.
  5. Honors and Recognitions: His accolades, including the NYMTC September 11th Memorial Program Scholarship and PhD Fellowship, reflect a recognition of his excellence and potential in the field of transportation research.

Areas for Improvement:

  1. Broader Interdisciplinary Collaboration: While Dr. Baghestani’s work is interdisciplinary, further collaboration with researchers from fields outside of transportation (e.g., environmental science, urban planning) could enhance the integration of diverse perspectives and methodologies.
  2. Publication and Citation Metrics: Increasing the number of high-impact publications and citations could further highlight the influence and reach of his interdisciplinary research.
  3. Grant and Funding Success: Demonstrating success in securing research grants and funding would strengthen his profile by showcasing his ability to lead and sustain large-scale interdisciplinary projects.
  4. Public Engagement: Greater involvement in public dissemination of research findings through media, public lectures, or policy briefs could enhance the impact and visibility of his interdisciplinary work.

Education 🎓

Dr. Amirhossein Baghestani holds a PhD in Civil Engineering (Transportation) from City College of New York (2017-2020), where he investigated the traffic and emissions impacts of New York City’s cordon pricing. He completed his M.Sc. in Transportation Planning & Engineering at Tarbiat Modares University (2011-2013) with a focus on spatial transferability of mode choice models, and his B.Sc. in Civil Engineering at Imam Khomeini International University (2006-2011). His education has provided a solid foundation for his extensive research and professional achievements in transportation.

Experience 🏢

Dr. Baghestani has held various significant positions in academia and research. Currently, he is an Assistant Professor at Shahid Beheshti University, focusing on transportation engineering and system analysis. Previously, he served as a Research Associate at Tarbiat Modares University, working on travel demand management and logistics studies. His experience includes a research role at NYMTC, where he conducted sensitivity analysis on highway attributes, and as a Graduate Student Researcher at City College of New York, evaluating traffic and emissions impacts.

Honors 🏆

Dr. Baghestani’s accomplishments have been recognized through several honors, including membership in the Transportation Research Board Equity Committee (AME10) and the NYMTC September 11th Memorial Program Scholarship (2018). He also received a PhD Fellowship from City College of New York (2017) and ranked 2nd in his M.Sc. program among eight students. These accolades reflect his dedication and excellence in transportation research and engineering.

Research Focus 🔬

Dr. Baghestani’s research centers on discrete choice models, environmental impacts of transportation projects, and travel behavior analysis. He employs operations research techniques to optimize transportation systems and analyze traffic assignments. His work contributes to understanding and improving urban transportation efficiency and sustainability.

publications

Are Supply and Demand the Main Key Drivers of Airport Parking Prices? 🏷️ (Journal of Air Transport Management, 2024, 114, 102505)

Determinants Behind the Acceptance of Autonomous Vehicles in Mandatory and Optional Trips 🚗 (Proceedings of the Institution of Civil Engineers: Engineering Sustainability, 2023, 177(3), pp. 174–184)

Modeling the Impact of Logistic Performance, Economic Features, and Demographic Factors of Countries on the Seaborne Trade 🌍 (Asian Journal of Shipping and Logistics, 2023, 39(2), pp. 60–66)

An On-Demand Dynamic Taxi Crowdshipping Model for Urban Parcel Delivery 🚖 (Transportation Journal, 2023, 62(2), pp. 177–208)

An Application of the Node–Place Model to Explore the Land Use–Transport Development Dynamics of the I-287 Corridor 🏙️ (Urban Science, 2023, 7(1), 21)

Logistics Village Location with Capacity Planning Problem, an MILP Model Approach 🏢 (Sustainability (Switzerland), 2023, 15(5), 4633)

An Exploration of Heterogeneity in Latent Psychological Variables on Travelers’ Destination Choice 🌐 (Decision Analytics Journal, 2023, 6, 100179)

Travel Demand Management Implications During the COVID-19 Pandemic: The Case Study of Tehran 🦠 (Sustainability (Switzerland), 2023, 15(2), 1209)

New York City Cordon Pricing and Its’ Impacts on Disparity, Transit Accessibility, Air Quality, and Health 🚇 (Case Studies on Transport Policy, 2022, 10(1), pp. 485–499)

Cordon Pricing, Daily Activity Pattern, and Exposure to Traffic-Related Air Pollution: A Case Study of New York City 🌫️ (Atmosphere, 2021, 12(11), 1458)

Conclusion:

Dr. Amirhossein Baghestani is a strong candidate for the Interdisciplinary Research Excellence Award. His diverse research portfolio, innovative projects, and significant contributions to both academia and practical applications of transportation engineering make him an excellent fit for this award. Enhancing his interdisciplinary collaborations, increasing publication and citation metrics, and expanding public engagement could further bolster his candidacy. Overall, his accomplishments and dedication to advancing the field through interdisciplinary approaches position him as a deserving candidate for this recognition.