Maryan Rizinski

Associate Professor of the Practice, Computer Science

Dr. Maryan Rizinski joined Boston University’s Metropolitan College as a full-time associate professor of the practice in computer science in 2025. He holds a PhD in computer science and MS and BS degrees in electrical engineering and information technologies. His interdisciplinary research, published in top-tier journals, bridges real-world applications with novel approaches in machine learning, natural language processing, and data analytics. He focuses on ethical, transparent, and cost-effective AI solutions in the financial industry and related domains, advancing decision-making, risk mitigation, and the interpretability of deep-learning models. His earlier work spans computer networking, with a focus on wireless communications and emerging Internet and IoT architectures.

Dr. Rizinski brings over fifteen years of industry experience leading software engineering teams and managing complex projects across domains such as automotive, smart buildings, and consumer goods. He has held leadership roles at Bosch Digital, part of the multinational engineering and technology company Bosch, headquartered in Germany. He has led globally distributed software development teams and delivered sophisticated, industry-focused solutions for top multinational corporations. In addition, he has advised venture capital firms and mentored technology startups on strategy, IT innovation, business models, risk mitigation, and project management.

In addition to his extensive industry career, Dr. Rizinski has been teaching computer science courses at BU MET as a part-time faculty member from 2013 until his full-time appointment in 2025. He has a strong record in online teaching, facilitation, and course development and is the recipient of BU MET’s 2023 Roger Deveau Memorial Part-Time Faculty Award for Excellence in Teaching.

Research Interests

Courses

Scholarly Works

Publications

Nastoska, Aleksandra, Bojana Jancheska, Maryan Rizinski, and Dimitar Trajanov. “Evaluating Trustworthiness in AI: Risks, Metrics, and Applications Across Industries.” Electronics 14, no. 13 (2025): 2717.

Pattnaik, Sarthak, Maryan Rizinski, and Eugene Pinsky. “Rethinking Inequality: The Complex Dynamics Beyond the Kuznets Curve.” Data 10, no. 6 (2025): 88.

Rizinski, M., Jankov, A., Sankaradas, V., Pinsky, E., Mishkovski, I., and Trajanov, D. “Comparative Analysis of NLP-Based Models for Company Classification.” Information 15, no. 2 (2024): 77.

Rizinski, M., Peshov, H., Mishev, K., Jovanovik, M., and Trajanov, D. “Sentiment Analysis in Finance: From Transformers Back to eXplainable Lexicons (XLex) (2024).” IEEE Access vol. 12 (2024): 7170–7198.

Domazetoski, V., Rizinski, M., Trajanov, D., and Kocarev, L. “Sensitivity analysis of shock distributions in the world economy.” Plos one 18, no. 10 (2023): e0293524.

Rizinski, M., Jankov, A., Sankaradas, V., Pinsky, E., Miskovski, I., and Trajanov, D. (2023). “Company classification using zero-shot learning.” In 20th International Conference on Informatics and Information Technologies (CIIT 2023), Krushevo, North Macedonia, May 4–6, 2023: 67–72.

Rizinski, M., Mishev, K., Chitkushev, L. T., Vodenska, I., and Trajanov, D. “Using NLP transformer models to evaluate the relationship between ethical principles in finance and machine learning.” In 13th International Conference on Information Society and Technology (ICIST 2023), Kopaonik, Serbia, March 12–15, 2023: 100–111.

Rizinski, M., Peshov, H., Mishev, K., Chitkushev, L. T., Vodenska, I., and Trajanov, D. “Ethically responsible machine learning in fintech.” IEEE Access vol. 10 (2022): 97531–97554.

Rizinski, M., Day, J., and Chitkushev, L. “IoT Architecture Based on RINA.” In 2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN), Paris, France, 2020: 41–45.

Rizinski, M., and Kafedziski, V. “Outage probability of AF, DF and CF cooperative strategies for the slow fading relay channel.” In 2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS), Nis, Serbia, 2013: 609–612.

Rizinski, M., and Kafedziski, V. “Ergodic rates of the fast Rayleigh fading relay channel for different cooperative strategies.” Serdica Journal of Computing 7, no. 2 (2013): 101–114.

Rizinski, M., and Kafedziski, V. “Achievable rates of the amplify-and-forward strategy for the Gaussian relay channel.” In 2011 10th International Conference on Telecommunication in Modern Satellite Cable and Broadcasting Services (TELSIKS), Nis, Serbia, 2011: 501–504.

Rizinski, M., and Kafedziski, V. “Capacity bounds and achievable rates of the Gaussian relay channel.” In 18th Telecommunications forum TELFOR 2010, Belgrade, Serbia, 2010: 408–411.

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