MIIL >> Students

Lab Students

Graduate Students

• Zixin Shi, PhD Student / Research Assistant, Computational Science and Engineerning @ Michigan Tech, will join in fall 2025
• Soup Cobb, PhD Student / Research Assistant, Computer Science @ Michigan Tech, since summer 2025
• Tanxin Zhu, PhD Student / Research Assistant, Computational Science and Engineerning @ Michigan Tech, since spring 2025
• Rochak Dhakal, PhD Student / Research Assistant, Computational Science and Engineerning @ Michigan Tech, since fall 2024


• Poojith Mendem, MS Student / Research Assistant, Data Science @ Michigan Tech, summer 2025
• Kepha Barasa, MS Student / Research Assistant, Data Science @ Michigan Tech, since spring 2025
• Chandu Narasimhareddyvari, MS Student / Teaching Assistant (+RA), Health Informatics @ Michigan Tech, since fall 2024



Undergraduate Students

• Graham de Gruiter, Undergraduate Student / Research Assistant, Mathematics and Physics (double major) @ University of Southern Mississippi, summer 2025
  HRI URIP project title: Combination of simulated ICA images with real images to enhance the accuracy of artery segmentation on real ICA images
• Kiana Prany, Undergraduate Student / Research Assistant, CS @ Michigan Tech, summer 2025
• Erica Zhu, Undergraduate Student / Research Assistant, Data Science @ Michigan Tech, since fall 2024
• Sydney Crook, Undergraduate Student / Research Assistant, CS @ Michigan Tech, since spring 2025, supported by Michigan Tech URIP 2025-2026
  URIP 2025-2026 project title: Deep Learning-Based Left Ventricle Segmentation with Shape Priors using KPCA
• Logan Cole, Undergraduate Student / Research Assistant, CS @ Michigan Tech, since spring 2025, supported by Michigan Tech URIP 2025-2026
  URIP 2025-2026 project title: Improving Left Ventricle Reorientation Across Multiple Centers Through Domain Adaptation
• Adam Christley, Undergraduate Student / Research Assistant, CS @ Michigan Tech, since spring 2025, supported by Michigan Tech URIP 2025-2026
  URIP 2025-2026 project title: LVEFangio: Predicting Left Ventricular Ejection Fraction (LVEF) Using Deep Learning on ICA Videos
• Caeden Kidd, Undergraduate Student / Research Assistant, CS @ Michigan Tech, since fall 2024, supported by Michigan Tech URIP 2025-2026
  URIP 2025-2026 project title: Temporally driven binary segmentation to extract entire arterial trees in sequential ICA frames
• Aili Toyli, Undergraduate Student / Research Assistant, Statistics @ Michigan Tech, since summer 2024, supported by Michigan Tech URIP 2024-2025 and URIP 2025-2026
  URIP 2025-2026 project title: Hierarchical Clustering to Identify Factors Associated with Risk of Cardiovascular Disease and Alzheimer's Disease
  URIP 2024-2025 project title: Statistical Analysis of the Heart-Brain Connection Using Cardiovascular Magnetic Resonance Imaging, Positron Emission Tomography, and Genetic Markers

• Shuo Sun, PhD Student / Research Assistant, Statistics @ Michigan Tech, summer 2025. Note that Mr. Sun (Advisor: Dr. Kui Zhang) is a part-time student in my lab for summer 2025.
• Meiling Zhou, PhD Student / Research Assistant, Statistics @ Michigan Tech, summer 2025. Note that Mrs. Zhou (Advisor: Dr. Kui Zhang) is a part-time student in my lab for summer 2025.
• Abhilash (Arjan) Das, Graduate Student / Research Assistant, Computational Science and Engineerning PhD @ Michigan Tech, fall 2024 - spring 2025
• Pukar Baral, MS Student/ Graduate Research Assistant, Health Informatics @ Michigan Tech, fall 2023 - spring 2025, supported by MTU HRI Graduate Fellowship fall 2024
  HRI Fall 2024 project title: Development and validation of a new deep learning based method to estimate fractional flow reserve from invasive coronary angiography
• Jacob Saari, Undergraduate Student / Research Assistant, BME @ Michigan Tech, fall 2024 - spring 2025
• Sean Phelan, Undergraduate Student / Research Assistant, Statistics @ Michigan Tech, spring 2024 - spring 2025, supported by Michigan Tech SURF 2024 and URIP 2024-2025
  URIP 2024-2025 project title: A Statistical Machine Learning Approach for Enhancing Risk Prediction of Alzheimer's Disease Utilizing Clinical, Genetic, and Neuroimaging Data
  SURF 2024 project title: Discovering Genetic Markers for Alzheimer's Disease Using Genome-Wide Association and Rare Variant Association Studies for Risk Prediction
• Mihret Kemal, MS Student / Research Assistant, Data Science @ Michigan Tech, fall 2024 - spring 2025
• Harika Vajrala, MS Student / Research Assistant, Computer Science @ Michigan Tech, fall 2024 - spring 2025
• Preethi Mathari, MS Student / Research Assistant, Health Informatics @ Michigan Tech, fall 2024
• Karl Halonen, Undergraduate Student / Research Assistant (Volunteer), Mechanical Engineerning @ Michigan Tech, fall 2024
• Anjum Shaik, MS Student/ Graduate Research Assistant, Health Informatics @ Michigan Tech, summer 2023 - fall 2024
• Alisa Teige, Undergraduate Student / Research Assistant (Volunteer), Data Science @ Michigan Tech, fall 2024
• Hannah Kilpatrick, Undergraduate Student / Research Assistant, Computer Science @ Michigan Tech, summer 2024 - fall 2024
• Chibuike Nwokeafor, MS/ Graduate Research Assistant, Health Informatics @ Michigan Tech, spring 2024 - summer 2024
• Kiana Prany, Undergraduate Student / Research Assistant, CS @ Michigan Tech, summer 2024
• Noah Painter, B.S., Statistics @ Michigan Tech, (fall 2023 - spring 2024, Graduated in spring 2024)
• Gabriel Baquerizo, Undergraduate Student / Research Assistant, Statistics @ Michigan Tech, February 2023 - March 2024, supported by Michigan Tech SURF 2023 and URIP 2023-2024
  URIP 2023-2024 project title: Identifying and Quantifying Parameters Related to Hip Fracture from DXA Images
  SURF 2023 project title: Discovering Hip Fracture Genetic Variations with Genome Wide Association and Rare Variant Association for Risk Prediction
• Kristoffer Larsen, B.S. and M.S., Statistics @ Michigan Tech, (February 2022 - April 2024, Graduated in spring 2024), supported by Michigan Tech URIP 2022-2023 and HRI Graduate Fellowship fall 2023
  HRI Fall 2023 project title: New methods utilizing deep unsupervised and reinforcement learning to improve the clinical decision-making process for cardiac resynchronization therapy (CRT)
  URIP 2022-2023 project title: Machine Learning to Support Clinical Decision Making of Cardiac Resynchronization Therapy for Late-Stage Heart Failure Patients
• Chen Zhao, PhD Computational Science and Engineerning @ Michigan Tech (Graduated in December 2023)       Dean's Award for Outstanding Scholarship       Current position: Tenure-Track Assistant Professor @ Kennesaw State University - Department of Computer Science
  Dissertation title: Deep Learning for Medical Image Segmentation using Prior Knowledge and Topology
  HRI Fall 2022 project title: New methods using deep learning for medical image segmentation and multi-source information fusion
• Zhuo He, PhD Computational Science and Engineerning @ Michigan Tech (Graduated in May 2023) Dissertation title: Knowledge discovery on the integrative analysis of electrical and mechanical dyssynchrony to improve cardiac resynchronization therapy


• Drew Pienta, B.Eng., ME-EM @ Michigan Tech (Graduated in 2022), supported by Michigan Tech URIP 2021-2022
  URIP 2021-2022 project title: Image Segmentation Using Deep Learning to Support Clinical Decision Making for Aortic Dissection Surgery
• Rukayat Adeosun, M.S., Health Informatics @ Michigan Tech (Graduated in 2021)


• Haipeng Tang, PhD Computer Science @ USM (Graduated in 2020)       USM Distinguished PhD Student Award       Current position: Research Engineer @ Sony R&D
  Dissertation title: A 3D Image-Guided System to Improve Myocardial Revascularization Decision-Making for Patients with Coronary Artery Disease


• Sara Khawaja, Undergraduate Student, Computer Science at University of Southern Mississippi
• Daniel McGonigle, Master Student, Computer Science at at University of Southern Mississippi
• Venkatesh Reddy Bodapatla, Master Student of Computer Science at University of Southern Mississippi
• Chiranjeevi Danda, Master Student of Computer Science at University of Southern Mississippi
• SasiKiran Allada, Master Student of Computer Science at University of Southern Mississippi
• Alexander Jackson, Undergraduate Student of Computer Science at University of Southern Mississippi