Mr.Fida Ullah | Natural language Processing | Data Science Contribution Award

PhD Student, Institute of politechnical National, Mexico

🎓 Fida Ullah is a dedicated PhD student in Computer Science at Instituto Politécnico Nacional, Mexico, specializing in Named Entity Recognition (NER) and machine learning, with a deep passion for advancing Natural Language Processing (NLP) for low-resource languages. His expertise spans deep learning and transformer models, and he is skilled in applying these techniques to various text analysis challenges. Fida has published extensively in reputable journals and actively engages in the latest NLP developments, making him a promising researcher in this field.

Publication Profile

Google Scholar

Education

📘 PhD in Computer Science – Instituto Politécnico Nacional, Mexico (2022-Present), Thesis: Urdu Named Entity Recognition with Deep Learning
Advisor: Dr. Alexander Gelbukh. M.Sc. in Computer Science – Beijing University of Chemical Technology, China (2018-2021)

Experience

💻 Fida has hands-on experience with Python and essential machine learning libraries like TensorFlow, PyTorch, and Keras. He has worked extensively with deep learning frameworks, focusing on Named Entity Recognition, sentiment analysis, and hate speech detection in low-resource languages. His work has been showcased at international conferences, and he has collaborated with global researchers on NLP projects.

Research Interests

🔍 Fida’s research interests are centered around Natural Language Processing and Named Entity Recognition for low-resource languages, utilizing deep learning, transformer models, and data augmentation techniques. He is also intrigued by advancing explainable machine learning applications for smart city innovations.

Awards and Achievements

🏆 Awards include the CONACYT Scholarship (Mexico) and the Chinese Government Scholarship for his academic excellence and contributions to NLP research.

Publications

Ullah, Fida, Ihsan Ullah, and Olga Kolesnikova. “Urdu Named Entity Recognition with Attention Bi-LSTM-CRF Model.” Mexican International Conference on Artificial Intelligence (2022). Springer Nature Switzerland.

Fida Ullah, Alexander Gelbukh, MT Zamir, EM Felipe Revoron, and Grigori Sidorov. “Enhancement of Named Entity Recognition in Low-Resource Languages with Data Augmentation and BERT Models: A Case Study on Urdu.” Computers, MDPI (2023). https://doi.org/10.3390/computers13100258.

Muhammad Arif, MS Tash, Ainaz Jamshidi, Fida Ullah, et al. “Analyzing Hope Speech from Psycholinguistic and Emotional Perspectives.” Scientific Reports (2024). https://doi.org/10.1038/s41598-024-74630-y.

Fida Ullah, M.Ahmed, MT. Zamir, et al. “Optimal Scheduling for the Performance Optimization of SpMV Computation using Machine Learning Techniques.” IEEE Xplore (2024). https://doi.org/10.1109/ICICT62343.2024.00022.

Alberto Martínez Castro, Jesús, et al. “Suppressor of Cytokine Signaling Members in Lung Adenocarcinoma: Unveiling Expression Patterns, Posttranslational Modifications, and Clinical Significance.” Journal of Population Therapeutics and Clinical Pharmacology 30, no. 18 (2023): 2077-2091.