Misbah Ul Hoque

If we knew what it was we were doing, it would not be called research, would it? Albert Einstein

Publications

Journals

[1]. Osama Al‑Maabreh, Misbah Ul Hoque, Yongcheol Lee, Kisung Lee, and Pedram Ghannad. 2023. Revealing inherent rules and validation frameworks for evaluating BIM dataregarding disaster‑andresilience‑relatedregulations. In Computing in Civil Engineering 2023, pages 1063–1071.

[2]. Misbah Ul Hoque, Kisung Lee, Jessica L. Beyer, Sara R. Curran, Katie S. Gonser, Nina S. N. Lam, Volodymyr V. Mihunov, and Kejin Wang. Analyzing Tweeting Patterns and Public Engagement on Twitter During the Recognition Period of the COVID-19 Pandemic: A study of Two U.S. States. IEEE Access, Pages: 72879-72894, ISSN: 2169-3536 | Vol: 10; July 7, 2022.

[3] Md. Mahin, Md. Jahidul Islam, Ayesha Khatun, Sumaiya Kabir, Biplab Chandra Debnath, and Misbah Ul Hoque. 2017. An approach to evaluate the effect of different sub‑categories of data within the minority class on the classifiers while mining imbalanced data. GUB Journal of Science and Engineering, Volume 4, Issue 1, December 2017.

[4]. Misbah Ul Hoque, Syed Ahsanul Kabir and Md. Shahin Bhuiyan. LDR Sensor Based Intelligent Line Follower Robot Incorporated by Robot Forwarding Algorithm. GUBJSE, ISSN: 2409-0476 | Vol: 03; Issue 01; December 2016.

Conferences

[1]. Misbah Ul Hoque, Kisung Lee. SentiGAT: Enhancing Multimodal Sentiment Analysis via Graph Attention Network-Based Feature Fusion and Alignment," 2025 IEEE 7th International Conference on Cognitive Machine Intelligence (CogMI), Pittsburgh, PA, USA, 2025, pp. 176-186, doi: 10.1109/CogMI67134.2025.00028.

[2]. Dr. T. M. Shahriar Sazzad, Misbah Ul Hoque, Mahmuda Rahman, K.M. Tanzibul Ahammed. Development of Automated Brain Tumor Identification Using MRI Images. Accepted in 2nd International Conference on Electrical, Computer and Communication Engineering 2019, CUET, Bangladesh. [Poster]

[3]. Misbah Ul Hoque, Dr. T. M. Shahriar Sazzad, A.K.M. Ashek Farabi, Ismail Hosen and Mursheda Akter Somi. An Automated Approach to Detect Breast Cancer Tissue Using Ultrasound Images. Accepted in 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT-2019), East West University, Dhaka, Bangladesh.

Research Results

Result of Brain Tumor Identification Conference [1]

Result of Breast Cancer Identification Conference [2]

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