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

Published on by Award and Honors

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.

Professional Profile

Scopus

Google Scholar

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. Liu – 79 citations, Journal of Advanced Transportation, 2022

Design of Sustainable Urban Electronic Grocery Distribution Network – D. Liu, Z. Deng, W. Zhang, Y. Wang, E.I. Kaisar – 67 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. Kaisar – 63 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. Kaisar – 37 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. Wang – 29 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.

Assist. Prof. Dr Saeid Afshari | Artificial intelligence | Best Researcher Award |

Published on by Award and Honors

Assist. Prof. Dr Saeid Afshari | Artificial intelligence | Best Researcher Award | 

Faculty , at University of Isfahan , Iran.

Dr. Saeid Afshari is an Assistant Professor of Computer Engineering at the University of Isfahan, Iran. With extensive expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Human-Computer Interaction (HCI), he has significantly contributed to both academia and industry. His research spans AI-driven solutions for healthcare, security, organizational management, and multimedia applications. An experienced IT project manager, he has successfully led the development of various smart software systems, AI-based analytics platforms, and e-Government services. Dr. Afshari is also a dedicated educator, mentoring numerous students in AI, data science, and software engineering.

Professional Profile

Scopus

Google Scholar

Orcid

Education 🎓

Ph.D. in Computer Engineering – Artificial Intelligence (2015) | University of Isfahan, Iran

Thesis: Online Quality of Experience Assessment System for Interactive Applications in Computer Networks

M.Sc. in Computer Engineering – Artificial Intelligence (2005) | University of Isfahan, Iran

Thesis: Using Agents in Workflow Management System of Distributed Organizations

B.Sc. in Hardware Engineering (2000) | University of Isfahan, Iran

Professional Experience 💼

Dr. Afshari has extensive experience in managing and developing AI-powered IT projects. He has led multiple organizational management software, AI-based sports and athlete management platforms, and e-Government solutions. As an educator, he has taught a range of subjects, including AI, data science, statistical pattern recognition, and programming in Python, C++, and MATLAB. His supervision of numerous master’s theses on AI applications highlights his mentorship and contribution to academic research.

Research Interests 🌍

Dr. Afshari’s research explores AI-driven problem-solving, deep learning applications, and human-computer interaction. His work includes machine learning-based image processing for medical diagnostics (cancer detection, skin tissue analysis), AI-powered workflow automation, smart organizational management, and multimedia quality assessment. He has also worked on neural network-based human activity recognition, deep learning models for license plate recognition, and machine translation systems. His interdisciplinary approach integrates AI with healthcare, business management, and security applications.

Awards & Honors 🏆

Recognized for significant contributions in AI-driven software development and project leadership

Successfully implemented over 150 AI-based software applications in academia and industry

Leading researcher in QoE (Quality of Experience) assessment for interactive applications

Top Noted Publications 📚

Load Balancing of Servers in Software-Defined Internet of Multimedia Things Using the Long Short-Term Memory Prediction Algorithm

Authors: S. Imanpour, A. Montazerolghaem, S. Afshari

Conference: 10th International Conference on Web Research (ICWR)

Citations: 7

Year: 2024

QoE Assessment of Interactive Applications in Computer Networks

Authors: S. Afshari, N. Movahhedinia

Journal: Multimedia Tools and Applications, Volume 75, Pages 903-918

Citations: 7

Year: 2016

Non-Intrusive Online Quality of Experience Assessment for Voice Communications

Authors: S. Afshari, N. Movahhedinia

Journal: Wireless Personal Communications, Volume 79, Pages 2155-2170

Citations: 3

Year: 2014

Optimizing Server Load Distribution in Multimedia IoT Environments Through LSTM-Based Predictive Algorithms

Authors: A. R. Montazerolghaem, S. Imanpour, S. Afshari

Journal: International Journal of Web Research

Year: 2025

Projecting Road Traffic Fatalities in Australia: Insights for Targeted Safety Interventions

Authors: A. Soltani, S. Afshari, M. A. Amiri

Journal: Injury

Year: 2025

Conclusion

Dr. Saeid Afshari is a strong candidate for the Best Researcher Award, particularly for his contributions to AI, machine learning, and deep learning applications. To further enhance his competitiveness, he could focus on increasing high-impact publications, international collaborations, patents, and research funding. If the award prioritizes real-world AI applications, software development, and mentorship, he would be an excellent nominee.