Dr. Ali Saeed

Dr. Ali Saeed

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
1Saeed, 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.
2Saeed, 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.
3Saeed, 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).
4Fatima, 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)
5Hayat, 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
6Muneer, 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).

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