Prof. N. Kazantzis
Email
nikolas@wpi.edu
Office
Goddard Hall, 121
Phone
+1 (508) 8315000 x5666
Education
PhD Chemical Engineering University of Michigan, Ann Arbor 1997

I believe strongly in the primacy of the quality of the student-teacher relationship, its mutually precious intellectual and emotional rewards, and its key role in the attainment of educational objectives such as the development of the student's critical thinking, the capacity for self-exploration, and independence of judgment. Furthermore, at WPI both undergraduate and graduate curricula are creatively designed to highlight the many nuanced forms and features of the inherently complex, value conflict-laden and contextually rich interaction between science, technology, culture, and society. As a result, the prospect of a singular educational experience is offered to our students as they prepare themselves to responsibly and confidently deal with the great problems of our time.

Scholarly Work

M. R. Reed, E. R. Belden, N. Kazantzis, M. T. Timko and B. Castro-Dominguez, 2024, Thermodynamic and Economic Analysis of a Deployable and Scalable Process to Recover Monomer-Grade Styrene from Waste Polystyrene, Chemical Engineering Journal, vol. 492, 152079.

S. Herrera Ovando, Arturo Jimenez-Gutierrez, N. Kazantzis and M. M. El-Halwagi, 2024,  A Probabilistic Assessment Framework for the Safety Profile of the Fischer-Tropsch Process, The Canadian Journal of Chemical Engineering, Featured Article, vol. 102, pp. 548-560.

C. K. Chyong, E. Italiani and N. Kazantzis, 2023, Implications of the Inflation Reduction Act on the Deployment of Low-Carbon Ammonia Technologies, Working Paper Series: WP 2023-21, MIT Center on Energy and Environmental Policy Research (CEEPR), Massachusetts Institute of Technology, Cambridge, MA.

D. Bigestans, M. A. Cardin and N. Kazantzis, 2023, " Economic Performance Evaluation of Flexible Centralised and Decentralised Blue Hydrogen Production Systems Under Uncertainty ", Applied Energy, vol. 352, 121944.

H. V. Alvarez, G. Fabiani, N. Kazantzis, C. Siettos and I. G. Kevrekidis, 2023, Discrete-Time Nonlinear Feedback Linearization via Physics-Informed Machine Learning, Journal of Computational Physics, vol. 492, 112408.

M. Shahabuddin, E. Italiani, A. R. Teixeira, N. Kazantzis and M. T. Timko, 2023, "A Roadmap for Deployment of Modularized Hydrothermal Liquefaction: Understanding the Impacts of Industry Learning, Optimal Plant Scale and Delivery Costs on Biofuel Pricing", ACS Sustainable Chemistry and Engineering, vol. 11, pp. 733-743. 2023

Professional Highlights & Honors
2001 NSF Career Award,
National Science Foundation
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