Iqra Ameer, Ph.D.

Iqra Ameer headshot
Assistant Professor of Computer Science, Computer Science
Assistant Professor of Data Science, Data Sciences
[email protected]
215-881-7330
Rydal Executive Plaza, 3rd floor, 320

Dr. Iqra Ameer is an Assistant Professor in the Division of Science and Engineering at The Pennsylvania State University at Abington, USA. Prior to joining Penn State, she was a Postdoctoral Researcher at Yale University and the University of Texas at Houston, where she focused on suicide ideation detection and named entity recognition using clinical text. Dr. Ameer earned her Ph.D. in Computer Science from Instituto Politécnico Nacional in 2022. During her doctoral studies, she worked on multi-label emotion classification for both code-mixed and monolingual text. Her research also addressed various challenges related to social media text, including emotion classification, mental health illness detection, fake news identification, hate speech and toxic speech detection, and author profiling.

Natural Language Processing, Data Science, Machine Learning

Research Experience

  • Postdoctorate at Yale University and University of Texas, United States    
  • Research Scholar at Hacettepe University, Ankara, Turkey
  • Research Scholar at RALI Lab University of Montreal, Canada
     

Books

Book Chapters

  • Ameer, I., & Sidorov, G. (2020). Author Profiling Using Texts in Social Networks. In Handbook of Research on Natural Language Processing and Smart Service Systems (pp. 245-265). IGI Global.

Journal Articles

  • Arif, M., Ameer, I., Bölücü, N., Sidorov, G., Gelbukh, A., & Elangovan, V. (2024). Mental Illness Classification on Social Media Texts Using Deep Learning and Transfer Learning. Computación y Sistemas, 28(2).
  • Zahid, M., Habib, M. F., Ijaz, M., Ameer, I., Ullah, I., Ahmed, T., He, Z. (2024). Factors affecting injury severity in motorcycle crashes: Different age groups analysis using Catboost and SHAP techniques. Traffic injury prevention. Impact Factor: 2.183.
  • Ameer, I., Bölücü, N., Sidorov, G., Xu, H., & Can, B., (2023). Which is More Informative for Emotion Classification in Texts over Graph Neural Networks? Syntactic or Semantic Representation. IEEE access. 2169-3536. Impact Factor: 3.476.
  • Ameer, I., Bölücü, N., Siddiqui, M. H. F., Can, B., Sidorov, G., & Gelbukh, A. (2023). Multi-Label Emotion Classification in Texts Using Transfer Learning, Expert Systems with Applications, 118534. Impact Factor: 8.665.
  • I. Ameer, G. Sidorov, Gómez Adorno, H., & Nawab, R. M. A. (2022). Multi-label Emotion Classification on Code-Mixed Text: Data and Methods, IEEE Access. 2169-3536. Impact Factor = 3.367. 
  • Ameer, A., Naz, F., Taj, B. G., & Ameer, I. (2021). The impact of manager’s personality traits on project success through affective professional commitment: the moderating role of organizational project management maturity system. Journal of Facilities Management, Impact Factor: 2.19.
  • Ameer, I., Ashraf, N., Sidorov, G., & Gómez Adorno, H. (2020). Multi-label Emotion Classification using Content-Based Features in Twitter. Computación y Sistemas, 24(3), Impact Factor: 0.782. 
  • Ameer, I., Sidorov, G., & Nawab, R. M. A. (2019). Author Profiling for Age and Gender Using Combinations of Types of Features. Journal of Intelligent & Fuzzy Systems (JIFS), Impact Factor: 1.426.

Conference Papers

  • Li, Z., Ameer, I., Hu, Y., Abdelhameed, A., Tao, C., Selek, S., & Hua, X. (2023). Suicide Tendency Prediction from Psychiatric Notes Using Transformer Models. In 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI) (pp. 481-483). IEEE.
  • Bölücü, N., Ameer, I., Bataineh, A. A., & Hua, H. (2023). Findings of WASSA 2023 Shared Task: Multi-Label and Multi-Class Emotion Classification on Code-Mixed Text Messages. WASSA 2023 at ACL 2023.
  • Arif, M., Tonja, A. L., Ameer, I., Kolesnikova, O., Gelbukh, A., Sidorov. Meque, G., A.G.M. (2022). CIC at CheckThat! 2022:  Multi-class and cross-lingual fake news detection. CLEF 2022: Conference and Labs of the Evaluation Forum.
  • Ortiz, G., Bel-Enguix, G., Ameer, I., Gómez-Adorno, H., & Sidorov, G. (2022). Job offers classifier using neural networks and oversampling methods. 8th World Conference on Soft Computing.
  • Tan, F. A., Hürriyetoglu, A., Caselli, T., Oostdijk, N., Nomoto, T., Hettiarachchi, H., Ameer, I., Uca, O., Liza, F. F., & Hu. T. (2022). The Causal News Corpus: Annotating Causal Relations in Event Sentences from News. 2022 International Conference on Language Resources and Evaluation. 
  • Ameer, I., Capetillo, C. P., Gómez Adorno, H., & Sidorov, G. (2021). Automatic Fake News Detection in Urdu Language using Transformers." In Forum for Information Retrieval Evaluation.
  • Siddiqui, M. H. F., Ameer, I., Gelbukh, A., & Sidorov, G. (2019). Bots and Gender Profiling on Twitter. CLEF 2019 Labs and Workshops, Notebook Papers, September 2019. CEUR-WS.org Lugano, Switzerland.
  • Ameer, I., Siddiqui, M. H. F., Sidorov, G., & Gelbukh, A. (2019). Simple Yet Very Efficient Approach to Hate Speech Detection, Aggressive Behavior Detection, and Target Classification in Twitter. SemEval at NAACL-HLT 2019, Minneapolis, USA.
  • Sittar, A., & Ameer, I. (2018). Multi-lingual Author Profiling Using Stylistic Features. In Working Notes for MAPonSMS at FIRE’18 - Workshop Proceedings of the 10th International Forum for Information Retrieval Evaluation (FIRE’18). CEUR-WS.org, CEUR, DAIICT, Gujarat, India.
  • Pervaz, I., Ameer, I., & Nawab, R. M. A. (2015). Identification of Author Personality Traits using Stylistic Features. CLEF 2015 Evaluation Labs and Workshop – Working Notes Papers, 8-11 September, Toulouse, France, September 2015. CEUR-WS.org. ISSN 1613-0073.
     

Ph.D. in Computer Science, Instituto Politécnico Nacional, Mexico D.F, Mexico (Distinction)
M.S. in Computer Science, Instituto Politécnico Nacional, Mexico D.F, Mexico (Distinction)
B.S. in Computer Science, COMSATS University Islamabad, Pakistan/Lancaster University, United Kingdom

CMPSC 446 Data Mining
CMPSC 441 Artifical Intelligence