Dr. Ali Saeed
Assistant Professor
Ali.saeed@ucp.edu.pk
Dr. Ali Saeed has been a university faculty member for ten years. He received his PhD in computer science from Pakistan’s COMSATS University Islamabad, Lahore Campus. The Government College University of Pakistan in Lahore is where he obtained his MPhil. He received a BS (Hons) in Computer Science from the Punjab University College of Information Technology (PUCIT), Lahore, Pakistan. His study aims to create deep learning and machine learning models for languages with limited resources. He is enthusiastic in teaching the courses of computer programming, machine learning, natural language processing, and web engineering.
| PhD | Computer Science | COMSATS University Islamabad, Lahore Campus | 2021 |
| MS | Computer Science | Govt College University | 2010 |
| BS (Hons) | Computer Science | PUCIT, Lahore | 2008 |
| Assistant Professor / Lecturer | University of Lahore | 2017-2021 |
| Lecturer | University of Sargodha | 2014-2017 |
| IT Instructor | TEVTA | 2011-2013 |
| 1 | Saeed, A., Nawab, R.M.A., Stevenson M., and Rayson, P., 2018. A Word Sense Disambiguation Corpus for Urdu. Language Resources and Evaluation, Springer 51(3), pp.1-22. |
| 2 | Saeed, A., Nawab, R.M.A., Stevenson M., and Rayson, P., 2019. A Sense Annotated Corpus for All-Words Urdu Word Sense Disambiguation. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) 18(4), pp.40-54. |
| 3 | Saeed, A., Nawab, R.M.A., and Stevenson M., 2021. Investigating Deep Learning Methods for Urdu Word Sense Disambiguation. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP). |
| 4 | Fatima, G., Khan, M.S., Nawab, R.M.A and Saeed A., 2021. Developing a Cross-lingual Semantic Word Similarity Corpus for English–Urdu Language Pair. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) |
| 5 | Hayat, U., Saeed, A., Vardag, M.H.K., Farhat M., Iqbal N., 2022. Roman Urdu Fake Reviews Detection using Stacked LSTM. SN Computer Science, Springer 3(6), pp.1-19 |
| 6 | Muneer, I., Fatima, G., Nawab, R.M.A., Khan, M.S., Saeed, A. 2022. Developing a Large Benchmark Corpus for Urdu Semantic Word Similarity. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP). |