Mostafijur Rahman Akhond

About Me

I am a graduate student at York University.

On going Projects

Software Verification

We are investigating the usability of generative ai in formal verification

Publications

  • Hossain, Mohammad Kamal and Salam, Md Abdus and Akhond, Mostafijur Rahman . 'Behavioral intentions of university teachers and students toward the adoption of the hyb-blended learning method: Evidence from Bangladesh'. Heliyon, 2024.
  • Sobuj, Md Shazzad Ali and Rizwan, Syed and Akhond, Mostafijur Rahman . 'Software Test Case Minimization Using Modified Firefly Technique'. International Congress on Information and Communication Technology, 2024.
  • Taslim, Md and Shafiuzzaman, Md and Akhond, Mostafijur Rahman and Hossain, Md Alam. 'DECISION SUPPORT SYSTEM FOR AGRICULTURE: CROP DISEASE RECOGNITION AND CLASSIFICATION THROUGH AN OPTIMIZE CONVOLUTION NEURAL NETWORK (CNN)'. E-PALLI INTERNATIONAL CONFERENCES (EIC), 2023.
  • Hasan, Md Mehedi and Rahman, Touficur and Uddin, AFM Shahab and Galib, Syed Md and Akhond, Mostafijur Rahman and Uddin, Md Jashim and Hossain, Md Alam. 'Enhancing rice crop management: Disease classification using convolutional neural networks and mobile application integration'. Agriculture, 2023.
  • Hasan, Md Mehedi and Uddin, AFM Shahab and Akhond, Mostafijur Rahman and Uddin, Md Jashim and Hossain, Md Alamgir and Hossain, Md Alam. 'Machine Learning and Image Processing Techniques for Rice Disease Detection: A Critical Analysis'. International Journal of Plant Biology, 2023.
  • Hasan, MM and Rahman, T and Uddin, AFMS and Galib, SM and Akhond, MR and Uddin, MJ and Hossain, MA. 'Enhancing Rice Crop Management: Disease Classification Using Convolutional Neural Networks and Mobile Application Integration. Agriculture 2023, 13, 1549'. Unknown Source, 2023.
  • Ema, Romana Rahman and Khatun, A and Hossain, MA and Akhond, Mostafijur Rahman and Hossain, Nazmul and Arafat, Md Yasir. 'Protein secondary structure prediction using hybrid recurrent neural networks'. J. Comput. Sci, 2022.
  • Billah, Mustain and Adnan, Md Nasim and Akhond, Mostafijur Rahman and Ema, Romana Rahman and Hossain, Md Alam and Md. Galib, Syed. 'Rainfall prediction system for Bangladesh using long short-term memory'. Open Computer Science, 2022.
  • Hira, Suma and Dipongkor, Atish Kumar and Chowdhury, Saumik and Akhond, Mostafijur Rahman and Galib, Syed Md and others. 'A Systematic Review of Sentiment Analysis from Bengali Text using NLP'. American Journal of Agricultural Science, Engineering, and Technology, 2022.
  • Rizwan, Syed and Ali Sobuj, Md Shazzad and Akhond, Mostafijur Rahman . 'A Survey on Software Test Case Minimization'. Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022.
  • Rahman, Rafeed and Rahman, Mehfuz A and Hossain, Shahriar and Hossain, Sajid and Akhond, Mostafijur Rahman and Hossain, Muhammad Iqbal. 'Ransomlistener: Ransom call sound investigation using lstm and cnn architectures'. 2021 6th International Conference on Inventive Computation Technologies (ICICT), 2021.
  • Rahman, Tahsinur and Ahmed, Yasin and Alam, Tawsiful and Shakil, Md Hasibur Rahman and Hossain, Md Tanjidul and Khan, Fiaruz Nawer and Dipto, Shakib Mahmud and Akhond, Mostafijur Rahman and Alam, Md Ashraful. 'Evaluation of Earthquake Resistance of Urban Buildings using Image Processing and Machine Learning Techniques'. 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 2020.
  • Faiyaz, Amir and Awlad, Md Sifat Ibn and Al Masood, Nazmuddin and Akhond, Mostafijur Rahman and Alam, Md Golam Rabiul. 'Dominance of Deep LSTM in Smartphone Sensor based Human Activity Classification'. 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 2020.
  • Xu, Weihua and Uddin, Md Azher and Dolgorsuren, Batjargal and Akhond, Mostafijur Rahman and Khan, Kifayat Ullah and Hossain, Md Ibrahim and Lee, Young-Koo. 'Similarity estimation for large-scale human action video data on spark'. Applied Sciences, 2018.
  • Alam, Aftab and Umair, Muhammad and Dolgorsuren, Batjargal and Akhond, Mostafijur Rahman and Ali, Mohammed AS and Qudus, Umair and Lee, Young-Koo. 'Distributed In-Memory Granularity-Based Time-Series Graph Compression'. 한국정보과학회 학술발표논문집, 2018.
  • Akhond, Mostafijur Rahman and Alam, Aftab and Uddin, Md Azher and Khan, Kifayat Ullah and Lee, Young-Koo. 'Distance-based Community Search in edge weighted Network'. 한국정보과학회 학술발표논문집, 2018.
  • Uddin, Md Azher and Akhond, Mostafijur Rahman and Lee, Young-Koo. 'Dynamic scene recognition using spatiotemporal based DLTP on spark'. IEEE Access, 2018.
  • Khan, Kifayat Ullah and Anh, Tu Nguyen and Akhond, Mostafijur Rahman and Nawaz, Waqas and Lee, Young-Koo. 'Accelerating community-search problem through faster graph dedensification'. 2017 IEEE International Conference on Big Data and Smart Computing (BigComp), 2017.

Work Experiences

  • Graduate Research Assistant at York University : Disa Lab

    2024 - current ()
  • Assistant Professor at Jashore University of Science and Technology

    2020 - current (on study leave)
  • Lecturer at Brac University

    2018 - 2020
  • Software Engineer at HUBDNC

    2018
  • Research Assistant at Kyung Hee University : DKE Lab

    2016 - 2018
  • Software Engineer at Nascenia

    2013 - 2016

Contact Me

If you'd like to get in touch, please reach out via email.