Bruno G. Kamdem is an Assistant Professor in the Department of Business Management, where he teaches Business Statistics, Business Data Management, and Advanced Business Analytics, providing students with advanced data analysis and strategic decision-making skills to navigate the ever-evolving business landscape. His research focuses on explainable AI (XAI), advanced neural networks, and stochastic differential game theory for optimal and sustainable supply chain management. He also studies reinforcement learning, sustainable finance, carbon derivatives, and ESG risk analysis. Bruno has extensive experience in teaching and consulting in areas such as Sustainable Finance, Corporate Finance and Financial Markets, Financial Software Development with Python, Commodity Markets and Green Energy Finance, and Decision-Making under Uncertainty and Risk Management. In 2021 and 2022, he designed and taught the inaugural “Sustainable Finance” course for the Master’s program in Finance and Risk Engineering at NYU Tandon School of Engineering.
Courses Taught
- Business Statistics (BUS 240)
- Business Data Management (BUS 385)
- Advanced Business Analytics (BUS 445)
Education
- Ph.D., Operations Research, School of Engineering & Applied Science, The George Washington University, 2018
- M.S., Applied Mathematics , University of Maryland, Baltimore County, 2008
- B.S., Mathematics (Pi Mu Epsilon) and Economics, University of Maryland, Baltimore County, 2006
Publications
- Gordon Dash, Nina Kajiji and Bruno G. Kamdem, Asset Returns: Reimagining Generative ESG Indexes and Market Interconnectedness, Journal of Risk and Financial Management, 17(10) 2024, 463.
- Bruno G. Kamdem, Optimizing Fuel Production in Carbon Trading: A Karush-Kuhn-Tucker Framework for Sustainable Balance, Sustainable Investing: Problems & Solutions, edited by Anatoly B Schmidt, World Scientific, 2024.
- Ren-Raw Chen, John Finnerty and Bruno G. Kamdem, CDS-Implied Risk of U.S. Delinquency: Implications for the U.S. Debt Ceiling, The Journal of Fixed Income, 31(1) 2021, 6 - 26.
- Ekundayo Shittu, Bruno G. Kamdem and Carmen Weigelt, Heterogeneities in Energy Technological Learning: Evidence from the U.S. Electricity Industry, Energy Policy, 131 2019, 1034–1049.
- Bruno Kamdem and Ekundayo Shittu, Optimal Commitment Strategies for Distributed Generation Systems Under Regulation and Multiple Uncertainties, Renewable and Sustainable Energy Reviews, 80 2017, 1597–1612.
Presentations
- Bruno G. Kamdem, “Strategic Equilibrium in Sustainable Transport Corridors: A Game Theoretic Approach to Tariffs, Geopolitics, and Supply Chain Resilience.” Paper presented to the 9th Annual Celebration of Scholarship, Farmingdale State College, SUNY, New York on December 6, 2024.
- Bruno G. Kamdem and Nahid Jafari, “Optimal Strategic Equilibrium in Sustainable Transport Corridors.” Paper presented to the 22nd International Logistics and Supply Chain Congress (LMSCM2024), Istanbul, Turkey, on October 17, 2024.
- Bruno G. Kamdem and Moustapha Pemy, “Pricing Carbon Options using Reinforcement Learning.” Paper presented to the 33rd European Conference on Operational Research (EURO 2024), Copenhagen, Denmark on July 2, 2024.
- Gordon Dash and Bruno G. Kamdem, “Asset Return Prediction: Reimagining Generative ESG Indexes and Market Interconnectedness (best paper award).” Paper presented to the 13th CBER - MEC International Conference on Business and Economic Development (ICBED), CUNY, New York on April 15, 2024.
- Bruno G. Kamdem, “Fortifying BRICS Sustainability Analytics: A Framework for the Delineation of Pervasive and Dynamic in South African ESG Investment Factors.” Paper presented to the 2023 Global Development Finance Conference, Cape Town, South Africa on November 21, 2023.
- Bruno Kamdem, “BRICS Sustainability Analytics: A Machine Learning Framework for South African ESG Factors.” Paper presented to the Peter Carr Brooklyn Quant Experience (BQE) Seminar Series, NYU FRE Department, New York on November 2, 2023.
- Bruno G. Kamdem, “Carbon Pricing under Competition and Regulation.” Paper presented to the The 23rd Conference of the International Federation of Operational Research Societies (IFORS2023), Santiago, Chile on July 12, 2023.
- Bruno G. Kamdem, “A Reinforcement Learning Mechanism for Trading Wind Power Futures.” Paper presented to the Industry Studies Association (I.S.A.) 2023 Annual Meeting, Columbus, Ohio on June 1, 2023.
- Bruno G. Kamdem, “A Reinforcement Learning Mechanism for Trading Wind Power Futures.” Paper presented to the Peter Carr Brooklyn Quant Experience (BQE) Seminar Series, NYU FRE Department, New York on December 1, 2022.
- Bruno G. Kamdem and Hélyette Geman, “Carbon Pricing under Competition and Regulation.” Paper presented to the Workshop on Impacts of Climate Change on Economics, Finance, and Insurance, University of Toronto, Toronto, Canada on September 21, 2022.
- Bruno G. Kamdem, “Tradable Carbon Permits Auctions.” Paper presented to the Bloomberg Quant (BBQ) Seminar Series - Lightning Talk, Bloomberg, New York on June 22, 2022.
- Bruno G. Kamdem, “Tradable Carbon Permits Auctions under Regulation and Competition.” Paper presented to the The Peter Carr Memorial Conference, NYU, Brooklyn Campus on June 4, 2022.
- Bruno G. Kamdem, “Tradable Carbon Permits Auctions under Regulation and Competition.” Paper presented to the Brooklyn Quant Experience Lecture Series, NYU FRE Department, New York on December 7, 2021.