Muhammad Suffian

  • Department of Computer Science
  • (041) 111-128-128
  • Ext: 311


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.