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Mohammad Arif Payenda

Mohammad Arif Payenda

Assistant Professor

Department of Information and Communication Technology >

 

+47 37 23 34 70

Office:
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 

Database

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

  • Payenda, Mohammad Arif; Vahidi, Abdul Razaq; Hussiny, Mohammad Ali; Prinz, Andreas; Øvrelid, Lilja (2024). PashtoEmo: Enhancing Text-Based Emotion Analysis in the Pashto Language Through Dataset Creation. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 14763s 225 - 236. doi:10.1007/978-3-031-70242-6_22.
  • Hussiny, Mohammad Ali; Payenda, Mohammad Arif; Øvrelid, Lilja (2024). PersianEmo: Enhancing Farsi-Dari Emotion Analysis with a Hybrid Transformer and Recurrent Neural Network Model. Proceedings of LREC. s 257 - 263.
  • Payenda, Mohammad Arif; Wang, Shuaishuai; Jiang, Zhiyu; Prinz, Andreas (2024). Prediction of mooring dynamics for a semi-submersible floating wind turbine with recurrent neural network models. Ocean Engineering. ISSN: 0029-8018. 313 (3). doi:10.1016/j.oceaneng.2024.119490.
  • 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