Education

• Ph.D. in Computer Science, University of Texas at Austin, 2007
• M.S. in Computer Science, University Politehnica of Bucharest, 1999
• B.S. in Computer Science, University Politehnica of Bucharest, 1998

Research Interests

• Machine Learning
• Natural Language Processing
• Music Information Retrieval

Professional Activities

• Associate Editor for IEEE Transactions on Computers, 2024-26.
• Standing reviewer for Computational Linguistics, 2021-26.
• Program co-chair of the International Summer School on Data Science organized by the Bucharest University of Economic Studies in Predeal, 2018-24.
• Area chair for the NLP Applications track at ACL 2020.
• Co-chair, with Cindy Marling, of the Blood Glucose Level Prediction Challenge at the ECAI 2020 workshop on Knowledge Discovery in Healthcare Data.
• Guest editor of the special issue on Sensor Technologies: Artificial Intelligence for Diabetes Management in the journal Sensors, 2020.
• Area chair for the Applications track at ACL 2019.
• Co-chair, with Cindy Marling, of the Blood Glucose Level Prediction Challenge at the IJCAI 2018 workshop on Knowledge Discovery in Healthcare Data.

A comprehensive list of publications is available in Google Scholar.

Selected publications

• A Text-Based Recommender System that Leverages Explicit Affective State Preferences
  Tonmoy Hasan and Razvan Bunescu
  Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2025.


• Algorithmic Strategies for Sustainable Reuse of Neural Network Accelerators with Permanent Faults
  Youssef Ait Alama, Sampada Sakpal, Ke Wang, Razvan Bunescu, Avinash Karanth, Ahmed Louri
  Best student paper award at the 38th IEEE International Symposium on Defect and Fault Tolerance (DFT), October 2025.


• An Expectation-Realization Model for Metaphor Detection
  Oseremen Uduehi and Razvan Bunescu
  Best paper award at the 4th Workshop on Figurative Language Processing (FigLang), June 2024.


• Can language models employ the Socratic method? Experiments with code debugging
  Erfan Al-Hossami, Razvan Bunescu, Justin Smith, Ryan Teehan
  Proceedings of the 55th ACM Technical Symposium on Computer Science Education (SIGCSE), March 2024.
  • Extended version of Socratic Questioning of Novice Debuggers: A Benchmark Dataset and Preliminary Evaluations
    Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA), July 2023.


• Topic-Level Bayesian Surprise and Serendipity for Recommender Systems
  Tonmoy Hasan and Razvan Bunescu
  Proceedings of the 17th ACM Conference on Recommender Systems (RecSys), September 2023.


• A semantic parsing pipeline for context-dependent question answering over temporally structured data
  Charles Chen, Razvan Bunescu and Cindy Marling
  Natural Language Engineering, October 2021.
  • Extended version of Context-Dependent Semantic Parsing over Temporally Structured Data
    Proceedings of the 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), June 2019.


• Changing the Narrative Perspective: From Deictic to Anaphoric Point of View
  Mika Chen and Razvan Bunescu
  Information Processing & Management, Special Issue on Creative Language Processing, 2021.


• LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management
  Jeremy Beauchamp, Razvan Bunescu, Cindy Marling, Zhongen Li, Chang Liu
  Sensors, 2021, 21(9).
  Special Issue on Sensor Technologies: Artificial Intelligence for Diabetes Management.


• Hardware-Level Thread Migration to Reduce On-Chip Data Movement via Reinforcement Learning
  Quintin Fettes, Avinash Karanth, Razvan Bunescu, Ahmed Louri, and Kyle Shiflett
  IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, September 2020.


• Learning to Surprise: A Composer-Audience Architecture
  Razvan Bunescu and Oseremen Uduehi
  Proceedings of the 10th International Conference on Computational Creativity (ICCC), Charlotte, NC, June 2019.


• Chord Recognition in Symbolic Music: A Segmental CRF Model, Segment-Level Features, and Comparative Evaluations on Classical and Popular Music
  Kristen Masada and Razvan Bunescu
  Transactions of the International Society for Music Information Retrieval, 2(1), 2018.

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Code

• Python code and data for changing the narrative perspective.
• Python code and data for context dependent semantic parsing.
• Java code for chord recognition in symbolic music.
• Java & C++ packages for semi-supervised mining of functionally related genes.
• Java package for Adaptive Clustering.
• Java package for generalized subsequence kernels.
• Java package for Relational Markov Networks (discrete potentials).

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Datasets

• MIL dataset for relation extraction.
• Question Focus dataset.
• Question Ranking datasets. This work is licensed under a Creative Commons Attribution 3.0 Unported License.
• Wikipedia Sense and Reference datasets.

Courses taught at Charlotte

• ITCS 6101/8101: Natural Language Processing, Spring 2026
• ITCS 4101: Introduction to Natural Language Processing, Spring 2026
• ITCS 5356: Introduction to Machine Learning, Fall 2024
• ITCS 6156/8156: Machine Learning, Spring 2023

Seminars coordinated at Charlotte

• CharMLab AI Seminar, Spring 2026

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Courses taught at Ohio

• CS 6890: Deep Learning, Spring 2020
• CS 4040/5040: Design and Analysis of Algorithms, Spring 2020
• CS 6840: Natural Language Processing, Fall 2019
• CS 4900: Machine Learning, Fall 2019
• CS 6830: Machine Learning, Fall 2016
• CS 6860: Information Retrieval and Web Search, Fall 2013
• CS 3200: Organization of Programming Languages, Spring 2016

In my spare time, I like playing the guitar. I am also learning how to play the piano.

Current

• Tonmoy Hasan, PhD
• Justin Smith, PhD
• Youssef Ait Alama, PhD

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Alumni

• Erfan Al-Hossami, PhD 2025
• Ramit Aditya, MSc 2025
• Oseremen Oscar Uduehi, PhD 2024
• Sampada Sakpal, MSc 2023
• Smita Ramkrishna Nannaware, MSc 2023
• Kristen Masada, MSc 2022
• Mika Chen, PhD 2022
• Quintin Fettes, PhD 2021
• Jeremy Beauchamp, MSc 2021
• Li (Charles) Chen, PhD 2019
• Yi Yu, MSc 2018
• Sadegh Mirshekarian, MSc 2017
• Lijie Xia, MSc 2017
• Hui Shen, MSc 2017
• Xin Ye, PhD 2016
• Chinmaya Naguri, MSc 2016
• Asish Gaddipati, MSc 2016
• Mika Chen, MSc 2011