Niyousha Raeesinejad
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  • Niyousha Raeesinejad 
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Niyousha is a Software Developer with a strong academic background that includes a bachelor's

degree in Software Engineering, a minor in Management and Society, and a certificate in

Entrepreneurial Thinking, all earned from the U of C. As a former PURE scholar at the University,

Niyousha gained extensive research experience as a research assistant at the Department of

Electrical and Software Engineering, resulting in multiple conference proceedings and

publications related to software engineering education and training. In addition to her academic

and research accomplishments, Niyousha has contributed several years towards fostering the tech

innovation ecosystem for students as one of the past Presidents of Tech Start UCalgary, a student-

driven club focused on software development and entrepreneurship at the UofC. She is a proud

recipient of the 2022 Women in Stem Scholarship and actively advocates for her fellow peers

pursuing careers in STEM. Niyousha's current research interests lie in the fields of software

engineering education, software innovation, hackathons, and open-source software.

 

Yousef is a Ph.D. candidate at the Schulich School of Engineering at the University of Calgary.

His career of over 20 years has involved combining the technical aspects of software development

with a focus on human interaction, innovation, and continuous learning. Yousef has worked as a

software engineer, instructor, trainer, coach, and author, honing his skills and expertise. His

research is focused on using process mining to enhance software development processes by

combining his expertise in software engineering practices, statistical methods, and machine

learning. He aims to explore new insights and perspectives for process improvement by integrating

traditional knowledge with cutting-edge data-driven methods. Yousef has published extensively

on software requirement engineering, agile, and scrum. His recent publications focus on utilizing

machine learning to predict work in progress for both newly formed teams with limited data as

well as established teams.

 

Dr. Mohammad Moshirpour is the director of the Software Engineering Practice and Education

(SEPE) Research Group. He is an associate professor at the Department of Informatics, Donald

Bren School of Information & Computer Sciences at the University of California, Irvine. His

research interests include software design and development, software requirements engineering,

machine learning, and software engineering training and education. He is the recipient of several

awards for his work in developing tools and methodologies for software engineering practices and

education including the 2021 D2L Teaching Innovation and the 2023 APEGA Excellence in

Education awards. Dr. Moshirpour is also an adjunct associate professor at the Department of

Electrical and Software Engineering at the UofC.