Alumni

Amir Shamaei – PDF, Electrical and Software Engineering  (University of Calgary)

Amir Shamaei is a skilled medical signals analysis and reconstruction expert who specializes in applying deep learning and machine learning techniques. He holds a Ph.D. in medical signal analysis using deep learning from Brno University of Technology, where he received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant. Amir is a postdoctoral fellow at the prestigious Advanced Imaging and Artificial Intelligence Lab at the University of Calgary. In this role, he develops and implements novel autoDL reconstruction methods to improve MRI imaging. His research focuses on incorporating redundancies in MRI data, such as integrating past subject-specific information via deep learning models. Amir is also developing MRIntelligence, a software application that combines these innovations to reduce MRI examination times and expedite analysis. Previously, he gained extensive experience as a medical image and signals software developer at Czech Academy of Science, translating innovative research into practical solutions for medical diagnostics. Amir has published several peer-reviewed papers in major journals and conferences. His programming skills include Java, Python, C++, PyTorch, and MATLAB. Outside of work, Amir’s interests include artificial intelligence, history, Arduino, and reading nonfiction books. 

Natalia Dubljevic – MSc Student, Biomedical Engineering (University of Calgary)

Natalia is a Biomedical Engineering master's student specializing in medical imaging at the University of Calgary under the co-supervision of Richard Frayne and Roberto de Souza. She received her BSc in Honours Physics from the University of British Columbia. Natalia is interested in research at the intersection of medical imaging and AI, and has previously worked on problems such as tumour segmentation and radiomics analysis. Her current project investigates the effect of MR coil configurations on deep learning MR image reconstruction. 

Gabriel Dias – MSc Student, Biomedical Engineering (University of Calgary)

Gabriel is a visiting research master's student in Biomedical Engineering at the University of Calgary, under the supervision of Drs. Roberto Souza and Ashley Harris. His main supervisor in Brazil is Dr. Leticia Rittner. He graduated in Electrical Engineering from the University of Campinas and was awarded the Emerging Leaders in the Americas Program scholarship. His research interest lies in contributing to the ongoing efforts to overcome barriers to clinical use in Magnetic Resonance Spectroscopy. Specifically, he is investigating Machine Learning techniques that can speed up the acquisitions for the study of the gamma-aminobutyric acid (GABA) metabolite. Additionally, he is a Google DeepMind scholar with a commitment to the ethical progression of Artificial Intelligence. 

Neha Gianchandani – MSc Student, Biomedical Engineering (University of Calgary)

Neha is a master's student in the Biomedical Engineering graduate program of the University of Calgary. She has an undergraduate background in Computer Science and is working on research in the areas of machine learning and deep learning applied to brain magnetic resonance imaging. The goal of her project is to detect regional biomarkers of brain ageing using magnetic resonance imaging. She currently holds the Brain CREATE scholarship for pursuing research in the area of neurotechnologies. She is an early career researcher with an interest in utilizing technologies to improve healthcare. Look at her Google Scholar page for a list of relevant publications.

Rodrigo Berto – MSc Student, Biomedical Engineering (University of Calgary)

Rodrigo is a master's student in biomedical engineering at the university of Calgary. His undergraduate is in Electronic Engineering and he graduated with Magna Cum Laude Honors at the Aeronautics Institute of Technology in Brazil. Rodrigo's research is on improving preprocessing of Magnetic Resonance Spectroscopy data with machine learning. Rodrigo has worked for two years as a data engineer in a renewable energy company and he's passionate about developing data pipeline and data structure solutions. 

Youssef Beauferris, MSc 

Youssef holds a master’s in Biomedical Engineering from the University of Calgary. He developed his work under the supervision of Dr. Roberto Souza. Youssef has a Mechanical Engineering degree with a specialization in Biomedical Engineering. His research focused on improving Magnetic Resonance imaging by leveraging multi-visit information. Youssef is passionate about developing improved data integration strategies to reduce medical imaging wait times. Youssef holds a CONP and an Alberta Graduate Excellence scholarships. Youssef is currently working at a Calgary-based start-up company named HelpWear.

Parisa Saat, MSc

Parisa has a master’s student in Software Engineering from the University of Calgary, working under the supervision of Dr. Hadi Hemmati and Dr. Roberto Souza. She received her B.Sc. degree in Computer Engineering from the University of Tehran. She is interested in applications of machine learning in healthcare and developing robust and generalized machine learning methods for medical applications. Her research is on domain adaption techniques for medical images. She specifically worked with brain magnetic resonance imaging segmentation. Parisa is currently working at a start-up company named Foqus Technologies.