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Faculty Agricultural Engineering and Technology Computer Science and Engineering Faculty Members Dr. Hira Lal Gope

Dr. Hira Lal Gope

Associate Professor

Ph.D. (Gifu University, Japan), MS in Engg. and B.Sc. (University of Chittagong, BD)

Research interests: Machine Learning, Deep Learning, Image Processing, Computer Vision, Data Mining, and Bioinformatics

hlgope@sau.ac.bd

hlgope@gmail.com
+8801717021275
Dept. of Computer Science and Engineering

Publication Profile

  • Hira Lal Gope, Das, P. K., Islam, M. J., & Seddiqui, M. H. (2014). Medical document classification from OHSUMED dataset. IJCSN International Journal of Computer Science and Network, 3(4), 215-219. http://ijcsn.org/IJCSN-2014/3-4/Medical-Document-Classification-from-OHSUMED-Dataset.pdf.
  • Pranajit Kumar Das, Hira Lal Gope (2014). “Wireless Sensor Network Technology for Agricultural Development: Challenges and Chances in Bangladesh”. International Journal of Scientific & Engineering Research, Volume 5, Issue 8, pp. 162-166.
  • Hira Lal Gope, Hasan, M. M., Barman, S., & Chowdhury, N. K. (2014). Find Real Time Passenger Information using Intelligent Transportation System (ITS). Vol. 11 No. 1, pp. 112-116. http://www.ijisr.issr-journals.org/abstract.php?article=IJISR-14-249-01.
  • Hira Lal Gope, Uddin, M., Barman, S., Islam, D., & Islam, M. K. (2016). Fire Detection in Still Image Using Color Model. Indonesian Journal of Electrical Engineering and Computer Science, 3(3), 618-625. DOI: 10.11591/ijeecs.v3.i2.pp618-625. (Scopus Index)
  • Chowdhury, U. K., Hira Lal Gope, Faruk, M. O., & Das, S. K. (2016). The first Hyperpolarizability of 2, 5-Dimethyleaniline through the Hyper-Rayleigh Scattering Technique. Volume 3, Issue9, 2016, PP 7-13, https://www.arcjournals.org/pdfs/ijarps/v3-i9/2.pdf.
  • Uddin, M., Hira Lal Gope, Yousuf, S., Islam, D., & Islam, MK (2016). Crowd Detection in Still Images Using Combined HOG and SIFT Feature. Indonesian Journal of Electrical Engineering and Computer Science, 4 (2), 447-458. DOI: 10.11591/ijeecs.v4.i2.pp447-458. (Scopus Index)
  • Barman, S., Hira Lal Gope, Islam, M. M., Hasan, M., & Salma, U. (2016). Clustering techniques for software engineering. Indonesian Journal of Electrical Engineering and Computer Science, 4(2), 465-472. DOI: 10.11591/ijeecs.v4.i2.pp465-472. (Scopus Index)
  • Hira Lal Gope, Machbah Uddin, Mohammad Aminul Islam, Ashutus Singha, Bashudeb Paul, Anupama Das and Biswajit Tarapdar. “Development of an android application of SAU in Bangladesh”. Int. J. Biosci. Vol. 14, No. 6, p. 276-281, 2019, http://dx.doi.org/10.12692/ijb/14.6.276-281.
  • Ashutus Singha, Mohammad Abdul Kader, Tahmina Akter, Hira Lal Gope, Md. Abu Sayem Jiku, Md. Arifur Rahaman, Murad Ali. “Performance Evaluation of The Rubber Dam For Improving Socio-Economic Status of Rural Bangladesh”. International Journal of Biosciences. Int. J. Biosci. 14(5), 527-533, May 2019, DOI: http://dx.doi.org/10.12692/ijb/14.5.527-533.
  • Hira Lal Gope, Hidekazu Fukai, Peaberry and normal coffee bean classification using CNN, SVM, and KNN: Their implementation in and the limitations of Raspberry Pi 3[J]. AIMS Agriculture and Food, 2022, 7(1): 149-167. doi: 10.3934/agrfood.2022010. (Impact Factor: 1.9); Scopus Index and ISI
  • Hira Lal Gope, Fukai, H., Ruhad, F.M. et al. Comparative analysis of YOLO models for green coffee bean detection and defect classification. Sci Rep 14, 28946 (2024). https://doi.org/10.1038/s41598-024-78598-7. (Impact Factor: 3.8); Scopus Index and ISI (Web of Science)
  • Shohag Barman, Fahmid Al Farid, Hira Lal Gope, Md. Ferdous Bin Hafiz, Niaz Ashraf Khan, Sabbir Ahmad, Sarina Mansor, (2024). LBF-MI: Limited Boolean Functions and Mutual Information to Infer a Gene Regulatory Network from Time-Series Gene Expression Data. Genes, 15(12), 1530. https://doi.org/10.3390/genes15121530. (Impact Factor: 3.3); Scopus Index and ISI
  • Shohag Barman, Fahmid Al Farid, Md Tanjil Sarker, Md Ferdous Bin Hafiz, Niaz Ashraf Khan, Hira Lal Gope, Hezerul Abdul Karim, Sarina Mansor, Ahsanul Bari, “BNIMI: Boolean Gene Regulatory Network Inference Based on Mutual Information,” 2024 Multimedia University Engineering Conference (MECON), Cyberjaya, Malaysia, 2024, pp. 1-6, doi: 10.1109/MECON62796.2024.10776154. (Conference Paper; published 2025); Scopus Index
  • Nusrat Jahan Anannya, Md Mehedi Hasan, Md Masum Billah, Shohag Barman, Hira Lal Gope, “User Clustering-based Redundant Handover Mitigation in Ultra-dense Cellular Networks”, ICCA '24: Proceedings of the 3rd International Conference on Computing Advancements, Pages No.: 15-21, https://doi.org/10.1145/3723178.3723181. (Conference Paper)
  • Ashutus Singha, Hira Lal Gope, A.K.Mohibul Islam, Md Masum Billah, Md Mehedi Hasan, Shohag Barman, “Integrating IoT-Based Smart Irrigation Systems to Optimize Crop Yield and Water Management for Sustainable Agriculture”, ICCA '24: Proceedings of the 3rd International Conference on Computing Advancements, Pages No.: 123-130, https://doi.org/10.1145/3723178.3723195. (Conference Paper)
  • Hira Lal Gope, Hidekazu Fukai and Renshu Aoki, Multi-Label Classification of Defective Green Coffee Bean Images Using EfficientNet Deep Learning Model, Timorese Academic Journal of Science and Technology, 2022, Volume 5, 164-175. http://fect.untl.edu.tl/tajst_article-103-tp.html. (Conference Paper)
  • Hira Lal Gope, & Fukai, H. (2020), Normal and Peaberry Coffee Beans Classification from Green Coffee Bean Images Using Convolutional Neural Networks and Support Vector Machine. International Journal of Computer and Information Engineering, 14(6), 189-196. https://publications.waset.org/10011255/pdf. (Conference Paper)
  • Barman, S., Gope, Hira Lal Gope, & Kwon, Y. K. (2020, January). A Boolean network inference from time-series gene expression data using a statistical method. In Proceedings of the International Conference on Computing Advancements (pp. 1-5). https://doi.org/10.1145/3377049.3377080. (Conference Paper); Scopus Index

Citation indices

  • https://scholar.google.com/citations?user=DXtNcT0AAAAJ&hl=en&oi=ao