Carlo Lipizzi

Carlo Lipizzi is a Teaching Associate Professor and Associate Chair for Corporate and Continuing Studies at the Department of Systems and Enterprises, Charles V. Schaefer, Jr. School of Engineering and Science, Stevens Institute of Technology. He also serves as Director of the Center for Complex Systems and Enterprises and holds strategic advisory roles within the College of Professional Education.

His educational background includes a PhD in Systems Engineering from Stevens Institute of Technology (2015), an Executive MBA from IMD (1996), and an MS in Mathematics from Università degli Studi La Sapienza, Rome (1981).

Lipizzi's research focuses on applied Natural Language Processing (NLP), Artificial Intelligence (AI), Machine Learning (ML), and Data Science, with applications in decision support, sustainability, and social media analytics. He develops AI agents using Large Language Models and designs systems for extracting decision-critical information from unstructured text. His work bridges computational methods with real-world challenges in defense, education, finance, and public health.

The 15 most recent publications reflect a consistent trajectory in NLP and AI, emphasizing social media analysis, bias mitigation in LLMs, sustainability project matching, and formal analysis of technical specifications. Keywords span AI, NLP, Machine Learning, and Computational Social Science, with subfields including affective polarization, disaster response, funding recommendation, and ethical AI.

Scientific Awards:

• Stevens Award for Teaching Excellence (2024)

Lipizzi has served as Principal Investigator (PI) or Co-PI on multiple externally funded projects totaling over $5 million, including grants from DoD/Picatinny Arsenal, Defense Acquisition University, Siemens Financial Services, and Accenture. These projects focus on NLP-based risk evaluation, contract classification, educational credentialing, and AI-powered career coaching. He actively mentors graduate students and leads interdisciplinary research teams. His institutional service includes membership in key committees such as RETCOM, GCC, and faculty hiring panels.

He leads the Center for Complex Systems and Enterprises and has co-developed academic programs including the Graduate Certificate in Computational Social Science. His teaching portfolio includes core courses in Data Science, AI & ML, and NLP at the graduate level.