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
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Graduate Research Assistant at York University : Disa Lab
2024 -
current ()
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Assistant Professor at Jashore University of Science and Technology
2020 -
current (on study leave)
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Lecturer at Brac University
2018 - 2020
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Software Engineer at HUBDNC
2018
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Research Assistant at Kyung Hee University : DKE Lab
2016 - 2018
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Software Engineer at Nascenia
2013 - 2016