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Mohammad Arif Payenda

Assistant Professor

A3 074 ( Jon Lilletuns vei 9, Grimstad )
Office hours:
Mon - Fri, 8:00 - 16:00

In 2019, I obtained my Master's degree in Computer Science from the South Asian University (SAU) in New Delhi, India. Currently, I am working as a lecturer in the Department of Information and Communication Technology at the Faculty of Engineering and Science, University of Agder (UiA), Norway. Previously, I had the privilege of serving as a lecturer at the Computer Science Faculty of Kabul University in Afghanistan. During my time there, I taught different subjects, including object-oriented programming, databases, data structures, and algorithms, as well as design and analysis of algorithms. Meanwhile I have had the privilege of teaching as a lecturer at various prestigious private universities, such as Kateb University and Gawharshad University. Furthermore, I have also had the opportunity to work as a project consultant with Ginger Web Ltd in India. My primary research interest lies in the field of Artificial Intelligence.

Research interests

Natural Language Processing, Data Analytics, Deep Learning, Recommender Systems, Predictive Modeling

Courses and teaching

Algorithm and Data Structure

Database and Data Modeling

Design and Analysis of Algorithms

Object Oriented Programming (Python, Java)

Data Mining

Web Programming 


Work experience

Since June 2022, Assistant Professor, University of Agder (Uia), Norway

September 2020 – June 2022, Assistant Professor, Kabul University, Afghanistan

July 2020 – Jan 2021, Assistant Professor, Kateb University, Afghanistan

December 2019 – July 2020, Data Preparation Process (DPP) Officer, National Statistic & Information Authority (NSIA), Afghanistan

September 2015 – December 2019, Lecturer, Gawharshad University, Afghanistan

February 2018 – April 2019, Project coordinator/consultant, Ginger Web, New Delhi, India

Selected publications

Hussiny, M. A., Payenda, M. A., & Vahidi, A. R. (2023, October). SentiDariPers: Sentiment Analysis of Dari-Persian Tweets Based on People’s Views and Opinion. In International Conference on Technologies and Innovation (pp. 138-156). Cham: Springer Nature Switzerland. DOI:10.1007/978-3-031-45682-4_11

Scientific publications

  • Hussiny, Mohammad Ali; Payenda, Mohammad Arif; Vahidi, Abdul Razaq (2023). SentiDariPers: Sentiment Analysis of Dari-Persian Tweets Based on People’s Views and Opinion. International Conference on Technologies and Innovation (CITI 2023). ISBN: 978-3-031-45681-7. Springer. Chapter. s 138 - 156.

Last changed: 28.02.2024 14:02