Mr. Suffian has joined academia in 2016, and served different universities as permanent and visiting faculty in Computer Science at Karachi. He is keenly interested in Deep NLP, Machine Learning and Text mining. Currently, he is involved in research work that focuses on Urdu and regional languages for the Phonetic & Lexical Similarity, Text Classification, Transliteration and Translation.
- MS (CS), Mohammad Ali Jinnah University, Karachi Pakistan (2018)
- BS (CS), Sukkur IBA University, Pakistan (2015)
“Developing Disease Classification System based on Keyword Extraction and Supervised Learning”. Muhammad Suffian, Muhammad Yaseen Khan, and Shaukat Wasi; International Journal of Advanced Computer Science and Applications, volume 9, number 9, pages 599–605, 2018. Indexed in Clarivate Analytics’ ESCI.
“A SMRT-RPMS-APP: A Novel Remote Patient Monitoring System Featuring Vital Signs via Smart Phones”. H.S.Azhar, Muhammad Suffian, Saif Hassan; Science International (Lahore), 29(1),65-71), 7. Indexed in Clarivate Analytics’.
“Towards a Generic Approach for PoS Tag-wise Lexical Similarity of Languages”. Muhammad Suffian Nizami, Muhammad Yaseen Khan and Tafseer Ahmed; in Intelligent Technologies and Applications, pages. 0–0, Nov. 2019, Springer-Verlag. accepted.
“Urdu Sentiment Corpus (v1.0): Linguistic Exploration and Visualization of Labeled Dataset for Urdu Sentiment Analysis “. Muhammad Yaseen Khan and ; Muhammad Suffian Nizami in 2nd IEEE International Conference On Information Science Communication Technology, Karachi University, Karachi. 8-9 Feb. 2020. accepted.