Student corner

 

Official/unofficial student supervision

BRAC University

  1. Categorising Affective Videos from Viewer’s Physiological Signals [Jun. 2023 – Dec. 2023]
    By Lazib Sharar Shaiok and Ishtiaqul Hoque
    [Paper]
  2. A systematic review on predicting PV system parameters using machine learning [2022 – 2023]
    By Md Jobayer, Md Al Hasan Shaikat and Md Naimur Rashid
    [Paper]
  3. Automated energy metering system [May 2022 – Dec. 2022]
    By Subir Mazumder, Aysha Akter Dipti, Sayeda Sultana Elma and Hassan Sakeef Soailim
  4. Smart medical beds for patients prone to bed falls [Feb. 2022 – Dec. 2022]
    By MD Fahad Wafiq, Fariha Nowrin, Mohsina Taz and Abrar Mahmud Chowdhury
    [Paper]
  5. Design and implementation of an optimized solar home system for urban areas [Feb. 2022 – Dec. 2022]
    By Tanvir Mahmud Mahim, Adnan Miah, Begum Fatema Tuz Zohra and Sahha Munzer
    [Paper]
  6. Prosthetic exo-leg: a multi-functional robotic leg-suit to fundamentally support the patient with transfemoral amputation [2022]
    By Fahin Uddin Enam, Fahmida Yasmin Nipa, Md. Tahsin Ahmed Abir and Musa Ahammed Mahin
    [Paper]
  7. Automatic motorbike accident detection and notification system [Jun. 2021 – May 2022]
    By S.M. Kayser Mehbub Siam, Khadiza Islam Sumaiya, Tamim Hasan Turjo and Md. Rakib Al - Amin
    [Paper]
  8. IoT-based industrial load control and safety management [Feb. 2021 – Jan. 2022]
    By Yousuf Mohammad, Mehedi Hasan and Shah Rukh Islam
 

Australian National University

  1. Investigating the impact of antibiotics on environmental microbiota through machine learning models [2023 – 2024]
    By Yiheng Du
    [Paper]
  2. Dual-Guidance Diffusion for Text-to-Image Generation [2023]
    By Hongyuan He
    [Code]
  3. Triplet Concatenated-Attentional Network for Multimodal Engagement Estimation [2023]
    By Hongyuan He and Daming Wang
    [Paper]
  4. Facial Expression Recognition from Masked Faces [2023]
    By Cheng Jiang
    [Paper]
  5. Convolutional neural networks on contrast CT scans: predicting and staging hepatocellular carcinoma [2023]
    By Patrick Buckley
    [Paper]
  6. Diagnosing autism spectrum disorder using ensemble deep learning [2023]
    By Xuehan Liu [Paper]
  7. Machine learning for COVID-19 prediction [2022 – 2023]
    By Reabal Najjar & Minhaz Mahmud [Paper 1] [Paper 2]
    By Xuehan Liu [Paper]
    By Xiangyu Chen [Paper]
  8. Deep learning for predicting primary sites of cancer from mutational landscape of tumor cells [2022 – 2023]
    By Zhongrui Chen
    [Paper]
  9. Machine Learning to Predict Gut Microbiomes of Agricultural Pests [2022]
    By Alexander Taylor
    [Paper]
  10. Deep learning for diabetes diagnosis [2022]
    By Zeyu Zhang
    [Paper]
  11. Finding the dominating frequency bands for the auditory evoked potential of native and non-native listeners [2022]
    By Yifan Zhou
    [Paper]
  12. Machine learning for predicting cancer severity levels [2022]
    By Alex Qin
    [Paper]
  13. Machine learning to diagnose neurodegenerative multiple sclerosis disease [2022]
    By Jin Si Lam
    [Paper]
  14. An evolutionary-based neural network for distinguishing between genuine and posed anger from observers’ pupillary responses [2021]
    By Fan Wu
    [Paper]
 

Bangladesh Army International University of Science and Technology

  1. Bengali image captioning using deep learning [2020 – 2021]
    By Zannatul Naim Shanta, Shamim Al Mahmud, Md. Safaith Hosain Imran, Himel Acharjee and Muhammad Saif Al Naeem
 

Recommended by me

Only the following students are referred/recommended by me for higher study/job/etc.

  1. Musa Ahammed Mahin, Undergraduate student, EEE, BRAC University
  2. Mashiat Jamal, Undergraduate student, EEE, BRAC University
  3. Lazib Sharar Shaiok, Undergraduate student, EEE, BRAC University
  4. Fariha Nowrin, Undergraduate project student, EEE, BRAC University
  5. MD Naimur Rashid, Undergraduate research student, EEE, BRAC University
  6. Syed Md. Jawadul Alam, Undergraduate student, EEE, BRAC University
  7. Emad Udding Ahmed, Undergraduate project student, EEE, BRAC University
  8. Sayeda Sultana Elma, Undergraduate student, EEE, BRAC University
  9. Kazi Andelib Mamun, Undergraduate student, EEE, BRAC University
  10. Md. Nahin Islam, Undergraduate project student, EEE, BRAC University
  11. Minhaz Mahmud, Undergraduate student, EEE, Bangladesh Army International University of Science and Technology
  12. Md. Rakib Al-Amin, Undergraduate project student, EEE, BRAC University
  13. Tanvir Mahmud Mahim, Undergraduate project student, EEE, BRAC University

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