Hai Nguyen

Hai Nguyen is currently a PhD student with an emphasis on climate change impacts on food-water-energy  nexus, sustainable development and bioenergy. She had a strong engineering background, previously completed her Bachelor at the Water Resources Engineering (Vietnam) and Master of Science in Water Resources Engineering at the KU Leven (Belgium). She is proficient in data analysis, statistical modeling, hydrological modeling and sustainable development

Zia Uddin Md Chowdhury

Zia Uddin Md Chowdhury is a Ph.D. student in the Department of Industrial & Manufacturing Systems Engineering and joined the Costello research group as a graduate research assistant in the Fall of 2018. His primary research focus is on interdisciplinary sustainability studies that evaluate and offer solutions to the challenges of industrial activities using sustainability assessment tools such as Life Cycle Assessment (LCA) and Material Flow Analysis (MFA). Mr. Chowdhury is interested in analyzing nutrient (N & P) flow at multi-scale level for better understanding the connection between nutrients, human activities, and consumption preferences. Bioenergy and food waste management systems interest him as well. Currently, he is working on developing a framework of nutrient analysis for greater sustainability of food and agricultural systems with increased productivity. 


Mr. Chowdhury received his MS in Environmental Engineering from the Bangladesh University of Engineering and Technology (Bangladesh), and his BS in Leather Engineering from the University of Dhaka (Bangladesh). Prior to Mizzou, he was working as a faculty at Khulna University of Engineering & Technology in Bangladesh. 


Mr. Chowdhury's research interests include: 

Industrial Ecology   

Environmentally-Extended Input-Output Life Cycle Assessment 

Life Cycle Assessment 

Material Flow Analysis 

Zeynab Oveysi

Zeynab Oveysi is a graduate student and research assistant in the Industrial & Manufacturing Systems Engineering Department at Mizzou. Her primary research interest is in optimization and its application to different areas.

One of the areas that she has focused on is local food systems. She has used robust optimization techniques to assess the effects of urban agriculture on local food production. She is also doing research on the potential effects of vertical farming and rooftop gardening on local food production.

Pouneh Abbasian

Pouneh Abbasian is a Phd student in the department of Industrial & Manufacturing Systems Engineering. She is working on the life cycle impacts of making wine using field data and wine flavor chemistry data from the Grape and Wine Institute. In addition to exploring the environmental impacts of making wine in Missouri, the research will explore the impact of using quality indicators as a functional unit. We plan to grow the project to integrate multi-criteria decision making techniques into the LCA of grape cultivation and wine making. Areas of concentration during doctoral studies will include: Operation Research, Multiple Objective Decision making, and Optimization problems.

In 2011, she finished her undergraduate study in Applied Mathematics at Shahid Chamran University of Ahvaz (SCU), Iran. Chamran University's Undergraduate program allowed her the opportunity to take courses in Statistics and Probability, Operations Research and computer programming.


In 2015, she received her master of Industrial Engineering from Mazandaran University of Science and Technology, Babol, Mazandaran and explored diverse topics related such as multiple criteria decision making, supply chain management, transportation problems, healthcare, data envelopment analysis (DEA) and so forth. Among which, she chose optimization of multiple objective functions to conduct research in the field of operation research and decision making for her master thesis project. She contrived a new method for solving multiple objective problems with multiple utility function using Goal Programming (GP)/Multi-Choice Goal Programming (MCGP) models, utility function creates the most satisfactory solution for decision makers by taking in to account the priorities of the decision-makers. For optimization of the multi-objective model, she used the conditional probability method to assess the likelihood of any utility functions in certain conditions.


Pouneh’s personal interests include swimming, Pilates, hiking, listening to music and playing basketball.

Lydia Schreiber

Lydia Schreiber is a PhD student in the Industrial and Manufacturing Systems Engineering Department who joined the Costello research group in the spring of 2019. Her research interests include system optimization for sustainability and using tools like Life Cycle Assessment (LCA) and Multiple Criteria Decision Analysis (MCDA) to assess the sustainability of systems. She plans to use these tools and analytical methods to transform industrial and/or agricultural systems and inform public policy for sustainable outcomes and optimal resource management. Lydia received her BS in Biological Engineering from the University of Missouri in the fall of 2018. She is from Jefferson City, Missouri and is passionate about food, the outdoors, social justice, and music.