2024 Three Minute Thesis Competition

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Three Minute Thesis (3MT) Event Recap

The Graduate School and Marquette University held the 3MT® competition on February 23, 2024. The Three Minute Thesis is a global research communication competition developed by The University of Queensland in Australia. It is an academic competition for doctoral and master’s degree students that require each participant to explain his or her research effectively in three minutes, using one slide, with no animation.

The final competition was judged by Dr. Kathleen Cepelka, Superintendent Emerita, Archdiocese of Milwaukee Catholic Schools and Marquette University Alumna; Dr. Kimo Ah Yun, Provost and Executive Vice President for Academic Affairs, Marquette University; Ms. Lindsey St. Arnold Bell, Executive Director of Avenues West and the Near West Side Partners; and Mr. Arvind Gopalratnam, Vice President of Corporate Social Responsibility, Milwaukee Bucks.

Congratulations to this year's winner Armin Ebrahimian and runner-up and People's Choice Award winner Haozhi Huang!

Armin Ebrahimian earned first place with his talk, “Designing the Future: Aviation Class Electric Propulsion System,” communicating his research in power electronics for electric aircraft applications. Armin will move on to represent Marquette University at the Midwestern Association of Graduate Schools regional competition.

The Runner-Up as well as the People's Choice award was awarded to Haozhi Huang with his presentation, "Curcumin Modulates Neuroinflammation to Improve Breathing after Spinal Cord Injury.".

Congratulations and thank you to our winners and competitors from this year’s competition!  It was incredible to learn about the research from our graduate students. 

First Place: Armin Ebrahimian - Engineering

Thesis: Designing the Future: Aviation Class Electric Propulsion System.


Runner-Up Winner & Peoples Choice Winner: Haozhi Huang - Exercise Science

Thesis: Curcumin Modulates Neuroinflammation to Improve Breathing after Spinal Cord Injury.


Milan Aryal - Computer Science

Thesis: Multi-resolution graph-based learning of whole slide images


Nidhi Nellore - Computer Science

Thesis: Decoding Digital Health: Unraveling Sentiments and Topics in Femtech App Reviews in the Post-Dobbs Era


Kathryn Barber - Psychology

Thesis: Neurocognitive Functioning in Trichotillomania


Allison Scarbrough - Biomedical Engineering

Thesis: Embracing Imperfection: Making Reliable Clinical Decisions with Messy Data


Adebayo Adeleye - Chemistry

Thesis: Investigating Natural Gas Hydrates: A Game-Changer in Shaping the Future of Sustainable Energy


Saba Heidari - Computer Science

Thesis: Adversarial Attack on Graph Neural Networks


Jenny LaManna - Educational Policy and Leadership

Thesis: Living with Fire: Exploring Adaptive Learning in the Context of Repeated Crises 


Dibaloke Chanda - Computer Science

Thesis: Explainability-Based Adversarial Attack on Graph Neural Network