Carlo Lipizzi

• PhD (2015) Stevens Institute of Technology (Systems Engineering)
• Other (1996) IMD (Executive MBA)
• MS (1981) Universita' degli studi La Sapienza Roma - Italy (Mathematics)

• Research Enterprise and Technology Commercialization Committee ("RETCOM") Member
• Academic Teaching & Mentoring (ATEAM) Program Member
• Faculty & admin hiring Committee Member
• Communication Member
• L3Harris Chair
• Corporate Relations Committee Member
• Graduate Curriculum Committee (GCC) Member
• Program Director Chair
• Program Director Chair
• EM/ISE Academic Committee Member
• Dean for the College of Professional Studies Search Committee Member
• Center for Complex Systems and Enterprises Chair
• Registrar Search Committee Member
• Associate Provost Search Committee Member
• Faculty & admin hiring Member
• Corporate Education Member
• Course Scheduling Chair
• Communication Member
• Center for Complex Systems and Enterprises Chair
• Corporate Education Chair
• Course Scheduling Chair
• Program Director Chair
• Program Director Chair
• Communication Chair
• Student Success Chair
• Provost Search Committee Member
• Intelliboard/Canvas metrics Member
• WorkDay development group Member

• Consulting on Natural Language Processing and Expert Witness
• Consulting on Natural Language Processing

• ASEM – American Society for Engineering Management Member
• SIAM – Society for Industrial and Applied Mathematics Member
• NYAC – New York Academy of Science Member
• IEEE Member
• NYAC – New York Academy of Science Member
• IEEE Member

Book Chapter, Book Series

1. Lipizzi, C. (2024). Societal Impacts of Artificial Intelligence and Machine Learning. Synthesis Lectures on Computer Science (vol. Part F2440, pp. 1-149).

Conference Proceeding

1. Yuan, S.; Yang, J.; Arya, S.; Lipizzi, C.; Wang, Y. (2023). From ambiguity to explicitness: Nlp-assisted 5g specification abstraction for formal analysis. 2023 IEEE 12th International Conference on Cloud Networking (CloudNet) (pp. 229--237).
2. Yassine, A. N.; Lipizzi, C. N.. Measuring Patent Novelty using Natural Language Processing. 24th International Conference on Engineering Design - ICED23, July 24-28, 2022, Bordeaux, France.
3. Yuan, S.; Yang, J.; Arya, S.; Lipizzi, C.; Wang, Y. (2023). From Ambiguity to Explicitness: NLP-Assisted 5G Specification Abstraction for Formal Analysis. 2023 IEEE 12th International Conference on Cloud Networking, CloudNet 2023 (pp. 229-237).
4. Lipizzi, C.. GREEN-CONNECT: an AI-enhanced digital platform to identify and match sustainability projects to funding sources.
   https://drive.google.com/file/d/1ssCpy9g8weDVHFcIWbx1TrAOQEQgRc7S/view.
5. Babvey, P.; Borrelli, D.; Zhao, Y.; Lipizzi, C. (2020). Masking the labels lubricates models for sequence labeling. No. Proceedings of the Fourteenth Workshop on Semantic Evaluation. Barcelona (online): International Committee for Computational Linguistics.
   https://aclanthology.org/2020.semeval-1.88/.
6. Borrelli, D.; Saremi, R.; Vallabhaneni, S.; Pugliese, A.; Shankar, R.; Martinez-Mejorado, D.; Iandoli, L.; Ramirez-Marquez, J.; Lipizzi, C. (2020). WINS: Web Interface for Network Science via Natural Language Distributed Representations. Communications in Computer and Information Science (vol. 1224 CCIS, pp. 614-621).
7. Babvey, P.; Lipizzi, C.; Ramirez-Marquez, J. (2019). Dissecting twitter discussion threads with topic-aware network visualization. Proceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019 (pp. 1359-1364).
8. Desai, P.; Saremi, R.; Hoffenson, S.; Lipizzi, C. (2019). Agile and Affordable: A Survey of Supply Chain Management Methods in Long Lifecycle Products. Proceedings of the IEEE International Systems Conference.
9. Primario, S.; Borrelli, D.; Zollo, G.; Iandoli, L.; Lipizzi, C. (2017). Measuring polarization in Twitter enabled in online political conversation: The case of 2016 US Presidential election. Proceedings - 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017 (vol. 2017-January, pp. 607-613).
10. Lipizzi, C.; Dessavre, D. G.; Iandoli, L.; Marquez, J. E. (2016). Social media conversation monitoring: Visualize information contents of twitter messages using conversational metrics. Procedia Computer Science (vol. 80, pp. 2216-2220).

Journal Article

1. Mondal, D.; Lipizzi, C. (2024). Mitigating Large Language Model Bias: Automated Dataset Augmentation and Prejudice Quantification. Computers (6 ed., vol. 13).
2. Behrooz, H.; Lipizzi, C.; Korfiatis, G.; Ilbeigi, M.; Powell, M. (2023). Towards Automating the Identification of Sustainable Projects Seeking Financial Support: An AI-Powered Approach. MDPI Sustainability. MDPI.
3. Borrelli, D.; Iandoli, L.; Ramirez-Marquez, J.; Lipizzi, C. (2022). A Quantitative and Content-Based Approach for Evaluating the Impact of Counter Narratives on Affective Polarization in Online Discussions. IEEE Transactions on Computational Social Systems (3 ed., vol. 9, pp. 914-925).
4. Borrelli, D.; Iandoli, L.; Ramirez-Marquez, J.; Lipizzi, C. (2022). A Quantitative and Content-Based Approach for Evaluating the Impact of Counter Narratives on Affective Polarization in Online Discussions. IEEE Transactions on Computational Social Systems (3 ed., vol. 9, pp. 914-925).
5. Babvey, P.; Gongora-Svartzman, G.; Lipizzi, C.; Ramirez-Marquez, J. (2021). Content-based user classifier to uncover information exchange in disaster-motivated networks. PLoS ONE (11 November ed., vol. 16).
6. Lucic, M.; Ghazzai, H.; Lipizzi, C.; Massoud, Y. (2021). Integrating County-Level Socioeconomic Data for COVID-19 Forecasting in the United States. No. IEEE Open Journal of Engineering in Medicine and Biology (NA ed., vol. 2, pp. 235-248). IEEE.
   https://ieeexplore.ieee.org/abstract/document/9479783.
7. Babvey, P.; Capela, F.; Cappa, C.; Lipizzi, C.; Petrowski, N.; Ramirez-Marquez, J. (2021). Using social media data for assessing children's exposure to violence during the COVID-19 pandemic. Child Abuse and Neglect (vol. 116).
8. Babvey, P.; Borrelli, D.; Lipizzi, C.; Ramirez-Marquez, J. (2021). Content-Aware Galaxies: Digital Fingerprints of Discussions on Social Media. IEEE Transactions on Computational Social Systems (2 ed., vol. 8, pp. 294-307).
9. Borrelli, D.; Iandoli, L.; Ramirez-Marquez, J.; Lipizzi, C. (2021). A Quantitative and Content-Based Approach for Evaluating the Impact of Counter Narratives on Affective Polarization in Online Discussions. IEEE Transactions on Computational Social Systems.
10. Borrelli, D.; Gongora, G.; Lipizzi, C. (2020). Unsupervised acquisition of idiomatic units of symbolic natural language: An n-gram frequency-based approach for the chunking of news articles and tweets. Dario Borrelli. San Francisco, CA: PLOS ONE.
    https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0234214.
11. Garcia-Mancilla, J.; Ramirez-Marquez, J.; Lipizzi, C.; Vesonder, G.; Gonzalez, V. M. (2019). Characterizing negative sentiments in at-risk populations via crowd computing: a computational social science approach. International Journal of Data Science and Analytics (3 ed., vol. 7, pp. 165-177).
12. Lipizzi, C.; Dessavre, D. G.; Iandoli, L.; Ramirez Marquez, J. E. (2016). Towards computational discourse analysis: A methodology for mining Twitter backchanneling conversations. Computers in Human Behavior (vol. 64, pp. 782-792).
13. Lipizzi, C.; Iandoli, L.; Marquez, J. E. (2016). Combining structure, content and meaning in online social networks: The analysis of public's early reaction in social media to newly launched movies. Technological Forecasting and Social Change (vol. 109, pp. 35-49).
14. Lipizzi, C.; Iandoli, L.; Ramirez Marquez, J. E. (2015). Extracting and evaluating conversational patterns in social media: A socio-semantic analysis of customers' reactions to the launch of new products using Twitter streams. International Journal of Information Management (4 ed., vol. 35, pp. 490-503).

posted-content

1. Tounsi, A.; Temimi, M.; Lipizzi, C.. Exploring Social and Geographical Disparities During Hurricane Ida Using Geolocated Social Media Content. Elsevier BV.
   http://dx.doi.org/10.2139/ssrn.4484915.