Dr. Waheed Yousuf Ramay

Office Incharge/HOD
Assistant Professor

Biography

Dr. Waheed Yousuf Ramay is an Assistant Professor in the Department of Computer Science & IT, Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan. Dr.Ramay got his PhD in Computer Science from University of Science and Technology Beijing (USTB) China. He was also awarded Chinese Government Scholarship from University of Science and Technology Beijing, China . His research interests include machine/deep learning, NLP, the IoTs, and developing practical tools to assist software engineers.

Area of Interest

  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Software maintenance

 

Publications

  • Waheed Ramay, Xu cheng yin and Muhammad Asif Habib “Hybrid approach for big data localization and semantic annotation.” Concurrency and computation Practice and Experience, Early View, Cpe.4955
  • Waheed Ramay, Xu Cheng Yin, and Inam Illahi, “Key words Extraction via AHP”. Human system Management, vol.37, Issu.4, pp.463-468, 2018.
  • Waheed Ramay, Xu Cheng Yin, Qasim Umar and Chao Zhu, “Deep Neural Network-Based Severity Prediction of Bug Reports.” in 2018 IEEE Access, vol.7, 2019, pp. 210–215.
  • Waheed Ramay, Naila Aslam, Xia Kewen and Nadeem, “Convolutional neural network-based classification of app reviews.” in 2018 IEEE Access, vol.17, 2020, pp. 210–215.
  • Azhar Muhammad, Waheed Ramay, Ali Khan Nauman, Jian Hong and Song Xiaoyuan. (2019). “A manually curated database for piRNA associated diseases. Database the journal of biological databases and curation.2019. 10.1093/database/baz052.
  • Waheed Ramay, Arslan Akbar and Muhammad Sajjad. "Bug Patterns Detection from Android Apps." International Conference on Geo-Spatial Knowledge and Intelligence. Springer, Singapore, 2017
  • Ahmad Shahryar, Xu-Cheng Yin and Waheed Ramay. Robust Feature Extraction on Vibration Data under Deep-Learning Framework: An Application for Fault Identification in Rotary Machines. International Journal of Computer Applications 167(4):37-45, June 2017
  • Ashraf, M. R., Jana, Y., Umer, Q., Jaffar, M. A., Chung, S., & Ramay, W. Y. (2023). BERT Based Sentiment Analysis for Low-resourced Languages: A Case Study of Urdu Language. IEEE Access.
  • Luqman, M., Faheem, M., Ramay, W. Y., Saeed, M. K., & Ahmad, M. B. (2024). Utilizing Ensemble Learning for Detecting Multi-Modal Fake News. IEEE Access.

    • Awards

    • Chinese Government Scholarship for pursuing PhD from University of Science and Technology of China, Hefei, China (2017)

    Experience

    • Assistant Professor, CUVAS Bahawalpur  (Feb/2024 – Present)
    • Assistant Professor, AIR University Islamabad, Multan Campus (Sep/2022 – Feb/2024)
    • Assistant Professor, COMSATS University Islamabad, Sahiwal Campus (June/2019 – Sep 2022)
    • Senior Programmer, May group International Beijing, China (June /2017 – June/2019)
    • Lecturer/ Web Administrator, COMSATS University Islamabad, Sahiwal Campus, Pakistan (Dec/2010 – Aug/2015)
    • Senior Programmer, Niche Vision System, Islamabad, Pakistan (June/2008 – Dec/2010)

Education

  • PhD Computer Science from University of Science and Technology Beijing (USTB), China (2019)

 

Conference/Workshops Participation

International Conference on Geo-Spatial Knowledge and Intelligence. Springer, Singapore, 2017.
4th International Conference on Internet of things from August 3-5, 2016at USTB Beijing China.
Annual Workshop on Text Mining from 5-7 November 2018 organized by PRIR Lab USTB Beijing China
Conference on “Frontiers of Information Technology (FIT) “organized by COMSATS, Islamabad from December 16 to 18, 2013.