CV
Education
- B.E. in Electrical Engineering and Automation, Henan Polytechnic University, 2018
- B.S. in Electrical Engineering, North Carolina A&T State University, 2018
- M.S. in Computer Science, North Carolina A&T State University, 2020
- Ph.D in Computer Science, North Carolina A&T State University, 2024
Work experience
- Tenure-track Assistant Professor in the Department of Computer Information Systems, North Carolina Central University (07/2024 – )
- Duke Power Endowed Professor
- IBM-HBCU Quantum Center (IHQC) Faculty Fellow
- Lecture in Department of Computer Science, NC A&T State University (01/2023 – 05/2023)
- Python for Data Science (COMP161), Class size: 20 (Face to Face)
- Overall Rating of Course Evaluation: 4.45/5.00
- IBM-HBCU Quantum Center Scholar (Aug. 2021 - Jul. 2024)
- Trained in quantum software, tools, and platforms used in quantum computing.
- Explored state-of-the-art quantum machine learning and quantum natural language processing technologies.
- Worked on a cross-cutting project in quantum machine learning.
- Developed the Quantum Information Science and Engineering (QISE) Program.
- National Science Foundation (NSF) Research Experiences for Undergraduates (REU) in Data Science Research Mentor
- Involved in the planning and execution of the REU program for Summer 2020, 2021, and 2022.
- Trained students in a variety of topics within the field of NLP and machine learning.
- Guided students in producing oral presentations and posters at the conclusion of the summer program.
- Mentored a total of one early college student, six undergraduate students, and one graduate student.
- Graduate Research Assistant in Human-Centered AI (HCAI) Lab (May 2020 - May 2024)
- Research areas: Natural Language Processing (NLP), AI & ML, Social Media Mining, Public Health Surveillance, and Quantum Computing.
- Extracted information from unstructured data, identifying patterns, trends, and relationships within datasets.
- Assisted lab colleagues and junior researchers in understanding and implementing research techniques and tools.
- Supported faculty members in preparing grant applications and research proposals by contributing to the technical aspects and project descriptions.
- Research Assistant in Secure and Usable Social Media & Networks (SUSMaN) Lab (May 2017 - May 2020)
- Research Area: Machine Learning, Data Mining, Internet of Things (IoT)
Skills
- Computer Languages
- Python, Qiskit, SQL, and JAVA
- ML & DL Frameworks
- Scikit-Learn, TensorFlow, Keras, PyTourch
- Natural Language Processing
- Tokenization, Stop Words Removal, Lemmatization & Stemming, TF-IDF, Word Embedding, Topic Modeling, Sentiment Analysis, Text Classification, Named Entity Recognition, LLM
- Others
- Github, LaTex, IBM Quantum Lab, qBraid, Google Colab, GPU Workstation, Tableau
Publications
Vaughn, A., Biocco, P., Liu, Y., & Anwar, M. (2018, July). Activity detection and analysis using smartphone sensors. In 2018 IEEE International Conference on Information Reuse and Integration (IRI) (pp. 102-107). IEEE.
Liu, Y. (2020). A comparative study of vector space language models for sentiment analysis using reddit data (Doctoral dissertation, North Carolina Agricultural and Technical State University).
Whitfield, C., Liu, Y., & Anwar, M. (2021, August). Surveillance of COVID-19 pandemic using social media: a reddit study in North Carolina. In Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (pp. 1-8).
Liu, Y., Whitfield, C., Zhang, T., Hauser, A., Reynolds, T., & Anwar, M. (2021). Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning. Health Information Science and Systems, 9(1), 25.
Almousa, M., Liu, Y., Zhang, T., & Anwar, M. (2021, July). A Study on Online Businesses’ Commitment to Consumer Privacy. In HCI for Cybersecurity, Privacy and Trust: Third International Conference, HCI-CPT 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings (pp. 391-402). Cham: Springer International Publishing.
Liu, Y., & Anwar, M. (2022, September). Learning Programming in Social Media: An NLP-powered Reddit Study. In 2022 Fourth International Conference on Transdisciplinary AI (TransAI) (pp. 55-58). IEEE.
Liu, Y., Yue, Z., & Anwar, M. (2022, November). Monkeypox At-a-glance from Google Trends and Reddit. In 2022 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) (pp. 166-167). IEEE.
Luitel, S., Liu, Y., & Anwar, M. (2023). Investigating Fairness in Machine Learning-based Audio Sentiment Analysis using Spectrograms and Bag-of-visual-words.
Liu, Z., Hu, J., Liu, Y., Roy, K., Yuan, X., & Xu, J. (2023). Anomaly-based Intrusion on IoT networks using AIGAN - a Generative Adversarial Network.
Aldrich, B., Liu, Y., Almousa, M., & Anwar, M. (2023). Translating Keystroke and Mouse Dynamics Data to Classify Human Mood.
Luitel, S., Liu, Y. & Anwar, M. Investigating fairness in machine learning-based audio sentiment analysis. AI Ethics (2024). https://doi.org/10.1007/s43681-024-00453-2
Whitfield, C., Liu, Y. & Anwar, M. Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing. J. Racial and Ethnic Health Disparities (2024). https://doi.org/10.1007/s40615-024-01996-0
Liu, Y. (2024). Pandemic Surveillance Using Social Media Data, Natural Language Processing, and Machine Learning (Doctoral dissertation, North Carolina Agricultural and Technical State University).
Liu, Y. & Anwar, M. Analyzing Twitter Data for Insights into Public Sentiment during COVID-19 Pandemic
Davis, B. D., Liu, Y., & Anwar, M. (2024, September). Repository of Metadata-Related Threats and Mitigation Strategies to Enhance Security in Smart Homes. In 2024 Conference on AI, Science, Engineering, and Technology (AIxSET) (pp. 189-193). IEEE.
Luitel, S., Liu, Y., & Anwar, M. (2024, September). Audio Sentiment Analysis with Spectrogram Representations and Transformer Models. In 2024 Conference on AI, Science, Engineering, and Technology (AIxSET) (pp. 149-153). IEEE.
Zhang, T., Jiang, Z., Bai, S., Zhang, T., Lin, L., Liu, Y., & Ren, J. (2024, November). RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track (pp. 738-754).
News
November 17, 2022
Speaker at The IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), WASHINGTON D.C., USA
March 23, 2024
Award at IEEE SoutheastCon, Atlanta, GA, USA
April 30, 2024
Speaker at IBM HBCU Quantum Center Symposium, Howard University, WASHINGTON D.C., USA
August 01, 2024
Award at North Carolina Central University, School of Business, Durham, NC, USA
Teaching
Service and leadership
Member of Technical Committees of the IEEE Consumer Technology Society (IEEE CTSoc) for the theme: Machine Learning, Deep Learning, and AI in Consumer Electronics (MDA) (Mar. 2025)
- Area Chair
- The Association for Computational Linguistics (ACL) Rolling Review (ARR) 2025 February Chair
- Program Committee
- IEEE International Conference on Transdisciplinary AI (TransAI 2023)
- IEEE International Conference on Information Reuse and Integration for Data Science (IRI 2023)
- International Conference on Asian Language Processing (IALP 2024)
- IEEE International Conference on Information Reuse and Integration for Data Science (IRI 2024)
- IEEE International Conference on Artificial Intelligence in Science, Engineering, and Technology (AIxSET 2024)
- IEEE International Conference on Artificial Intelligence x Business (AIxB 2024)
- IEEE International Conference on Artificial Intelligence x Humanities, Education, and Art (AIxHEART 2024)
- Association for the Advancement of Artificial Intelligence AAAI-25 Undergraduate Consortium
- Reviewer
- International Conference on Big Data Mining and Information Processing (BDMIP) 2022
- ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) 2022
- Ethics Reviewer for Neural Information Processing Systems (NeurIPS) 2023
- American Public Health Association (APHA) Public Health Film Festival Program 2024
- Reviewer for NeurIPS 2024
- Ethics Reviewer for NeurIPS 2024
- Reviewer for the Thirteenth International Conference on Learning Representations (ICLR) 2025
- Reviewer for the Forty-Second International Conference on Machine Learning (ICML) 2025
- Journal
- Reviewer for JMIR Aging
- Reviewer for IEEE Access
- Reviewer for AI and Ethics
- Reviewer for Connection Science
- Reviewer for JMIR Medical Education
- Reviewer for IEEE Internet Computing
- Reviewer for the Journal of Medical Internet Research (JMIR)
- Reviewer for ACM Transactions on Computing for Healthcare (HEALTH)
- Reviewer for IEEE Transactions on Quantum Engineering (TQE)
