People

People

Director

Xilei Zhao

Assistant Professor, Civil and Coastal Engineering, University of Florida

Xilei Zhao (赵曦蕾) is an Assistant Professor in the Department of Civil and Coastal Engineering at the University of Florida. Dr. Zhao received her B.E. in Civil Engineering from Southeast University, China, in 2013, her MSEs in Civil Engineering and Applied Mathematics and Statistics from Johns Hopkins University (JHU) in 2016 and 2017, respectively, and her Ph.D. in Civil Engineering from JHU in 2017. She was a Research Fellow in the Department of Industrial and Operations Engineering at the University of Michigan from 2017 to 2018, and a Postdoctoral Fellow in the School of Industrial and Systems Engineering at Georgia Tech from 2018 to 2019. She specializes in applying data science (especially data analytics, machine learning, and simulation), complex systems modeling, and risk assessment to tackle challenging problems in transportation and resilience.

 


PH.D. Student

Yiming Xu

Ph.D. student, Civil and Coastal Engineering, University of Florida

Yiming Xu is a Ph.D. student in the Department of Civil and Coastal Engineering at the University of Florida. He received his B.E. and M.E. degrees in transportation engineering from Tongji University, China. His research interests include shared mobility, data analytics for transportation systems, and traffic flow theory.

In addition to his research pursuits, Yiming is a soccer lover and a “Gooner” (Arsenal F.C. Fan). He is also a gym-goer.

 


M.S. Student

Zhuoxuan Cao

M.S. student, Civil and Coastal Engineering, University of Florida

Zhuoxuan Cao is a M.S. student in the Department of Civil and Coastal Engineering at the University of Florida. He received his B.E. degree in traffic engineering from Chang’an University, China. His research interests focus on data analytics for travel mode choice and transportation system simulation. Now he is working on analyzing travel mode choice with machine learning methods.
 

 

 

Mudit Paliwal

M.S. student, Industrial and Systems Engineering, University of Florida

Mudit Paliwal is an M.S. student in the Department of Industrial and Systems Engineering at the University of Florida. He received his bachelor’s degree in Marine Engineering at BITS, Pilani (India). His research interests include Time Series Analysis for Human Cognition Detection and Transportation systems. He is particularly interested in Deep Learning architectures and is currently working on Graph Convolutional Networks.
 
 
 

 

 

Kaitai Yang

M.S. student, Civil and Coastal Engineering, University of Florida

Kaitai Yang is a M.S. student in the Department of Civil and Coastal Engineering at the University of Florida. He received his bachelor’s degree in Traffic Engineering at Chang’an University. Recently he is working on modeling of evacuation behavior in the wildfire and the hurricane to explore how different factors affect people’s decision-making.

 

 

 

Ningzhe Xu

M.S. student, Civil and Coastal Engineering, University of Florida

Ningzhe Xu is a M.S. student in the Department of Civil and Coastal Engineering at the University of Florida. He received his B.E. degree in Transportation at Dalian Maritime University. Recently he is working on modeling of evacuation behavior in the wildfire and the hurricane to explore how different factors affect people’s decision-making.

 

 


AFFILIATE

Xinyu ‘Cindy’ Liu

Ph.D. student, Industrial and Systems Engineering, Georgia Tech

Primary advisor: Prof. Anton Kleywegt

Xinyu Liu is a Ph.D. student in Operations Research in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology since 2018. She received her bachelor’s degree in Operations Research and Business Analytics at Singapore University of Technology and Design in 2018, with Summa Cum Laude. Xinyu’s research interests focus on optimization, stochastic modeling and data-driven methods applied to transportation and travel behavior modeling. She is currently working on the infrastructure and marketplace modeling for on-demand transportation and potentially self-driving vehicles.

 

 

Ruggiero (Rino) Lovreglio

Senior Lecturer, School of Built Environment, Massey University, New Zealand

Dr. Ruggiero (Rino) Lovreglio is a Senior Lecturer at Massey University. He holds a Ph.D. in modeling evacuation decision-making in building fires from the joint Ph.D. school of Politecnico di Bari, Milano e Torino. He has been published more than 30 journal articles on evacuation studies in different types of disasters, such as building fires, wildfires, and earthquakes. Dr. Lovreglio has used several new technologies (e.g., Virtual Reality, Augmented Reality, BIM) to investigate response behaviors during disasters and training people.

In his career, he has been a visiting researcher at NIST (US), Lund University (Sweden), Edinburgh Napier University (UK), Universita’ Politecnica delle Marche (Italy), and CERN (Switzerland). In NZ, he has been a postdoctoral fellow at the University of Auckland and a sessional lecturer at the University of Canterbury before joining Massey University in 2018. He is an Associate Editor for Safety Science and he is a member of the Editorial Board of Fire Technology and Fire Safety Journal.

 

 

Xiang ‘Jacob’ Yan

Incoming Research Assistant Professor, University of Florida Transportation Institute

Xiang ‘Jacob’ Yan is an incoming research assistant professor at the University of Florida. He integrates a data-driven and theory-informed approach to evaluate transportation policies and planning strategies that can promote a sustainable and equitable urban future. His research interests include transportation big-data analytics, innovative mobility, travel behavior, and transport equity.

 

 

 

 

Xiaojian Zhang

Research Intern, New York University Shanghai

Xiaojian Zhang received his B. E. degree in transportation from Southwest Jiaotong University. He is currently working on ridesourcing demand prediction and demand responsive transit simulation. Xiaojian has strong interests in the application of machine-learning techniques. He also enjoys playing the piano and watching basketball and soccer games.

 

 

 


alumni

Shirin Noei (former Ph.D. student advised by Dr. Zhao)

Research Assistant Professor, Center for Energy Systems Research, Tennessee Tech University

Google Scholar