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MSc Business Analytics and Technology Management


Faculty profiles

Our faculty

Our engaged and accessible faculty members are committed to academic excellence in teaching and research in the areas of Business Analytics and Technology Management. Read more about their profiles below:

Graduate Program Director

Suchit Ahuja, PhD

Areas of expertise: Digital Strategy and Innovation, Digital Platforms and Ecosystems, Frugal Digital Innovation, Society Impacts of Digital Innovation and Community-based Innovation

Suchit is an Assistant Professor, Supply Chain and Business Technology Management Department at the John Molson School of Business, Concordia University (Canada). He holds a PhD in Management Information Systems from the Stephen J.R. Smith School of Business at Queen’s University and an MSc in IT from Purdue University.

Suchit’s research focuses on digital strategy and innovation, digital platforms and ecosystems, frugal digital innovation, societal impacts of digital innovation, and community-based innovation.

For his research, he has worked with small and medium enterprises and startups in India, USA, and Canada. Suchit has obtained funding for his research from federal and provincial funding agencies such as SSHRC and FRQSC. He has published his research in international conferences and journals including AoM, ICIS, AMCIS, Conf-IRM, R&D Management, IEEE, ACM, Kindai Management Review, etc.

Suchit has served on prestigious committees such as the Standards Council of Canada and is a member of the board of advisors of BizSkills Academy, an education-focused startup in Ontario.

In his spare time, Suchit enjoys running, hiking, traveling, and reading about culture and geopolitics.

Mohsen Farhadloo, PhD

Areas of expertise: Business analytics, Customer satisfaction, Public health, Public policy

Mohsen received his PhD in Electrical Engineering and Computer Science from University of California, Merced, USA, in 2015 working on analyzing customer reviews to understand what drives customer satisfaction using data mining/machine learning techniques.

After his PhD, he served as a postdoctoral research associate at University of Illinois, Urbana-Champaign and Annenberg public policy center of the University of Pennsylvania. Also, he did a postdoc in University of California, Los Angeles working on applications of data mining in public health domains.

Before joining the John Molson School of Business, he was an assistant professor in Business School of University of California, Riverside.

In Concordia, he develops and applies techniques from business analytics in applications in health, business and public policy domains.

Rustam Vahidov, PhD

Areas of expertise: Decision Sciences, Computer Information Systems

With Concordia University since 2000, Dr. Vahidov received his MBA (1996) and PhD (2000) from Georgia State University in Atlanta, GA, USA. He teaches various courses in Business Technology Management.

His research focuses on Software Agent Negotiations, Decision Support Systems, Multi-Agent Systems, Electronic Negotiations, Fuzzy Logic, Genetic Algorithms, Neural Networks, and others.

Mahdi Mirhoseini, PhD

Areas of expertise: Human-computer interaction, NeuroIS, and the dark side of information technologies.

Mahdi is an assistant professor of business technology management at John Molson School of Business, Concordia University. He received his Ph.D. from HEC Montreal in 2018. During his Ph.D. research, he worked in Tech3Lab at HEC Montreal designing and running experiments using behavioral and neurophysiological data to understand how to improve the design of IT artifacts. After the Ph.D., he served as a postdoctoral fellow at McMaster Digital Transformation Research Center, at DeGroote School of Business, McMaster University. He worked on projects studying the impact of IT interruptions on users and also the phenomenon of fake news.

Salim Lahmiri, PhD

Salim Lahmiri is Assistant Professor in the Supply Chain and Business Technology Management (SCBTM) department at John Molson School of Business, Concordia University. He received a Master of Engineering degree from the Department of Electrical Engineering at École de Technologie Supérieure in Montreal and a Ph.D from the Department of Computer Science at Université de Quebec à Montreal. He was a post-doctoral fellow in McGill University's The Neuro.

His research interests include design of intelligent systems, artificial intelligence, data science and pattern recognition applied to various domains such as finance, marketing, biomedical engineering and industrial engineering. He serves as an associate editor in several academic journals; namely, Expert Systems with Applications, Engineering Applications of Artificial Intelligence, Machine Learning with Applications, Chaos, Solitons & Fractals, Entropy, and Machine Learning & Knowledge Extraction.

Arman Sadreddin, PhD

Research interests: Digital Entrepreneurship, Digital Innovation, Digital Strategy, Technology Enabled Organizational Capabilities, Entrepreneurial Ecosystems 

Arman is Assistant Professor, Business Technology Management at the John Molson School of Business at Concordia University. His research interests focus on digital entrepreneurship, digital innovation, technology-enabled organizational capabilities, and entrepreneurial ecosystems. Arman holds a Ph.D. and an MSc in Management (Management Information Systems) from Smith School of Business at Queen’s University in Canada, an MASc in Quality Systems Engineering from Concordia University, and a BSc in Industrial Engineering from Isfahan University of Technology, Iran. 

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