Profile

Md. Nuhi-Alamin

মোঃ নূহী আলামীন

Assistant Professor

  •  Room No:  Second floor (Beside Computer Lab 1), EEE Department, RUET
  •  Phone:   880-1708917724
  •  Email:   nuhialaminruet@gmail.com
  • nuhialamin@eee.ruet.ac.bd
Field of Research
  •  Biomedical Signal Processing
  •  Deep Learning

  •  First Joined: 12th Dec, 2021
  •      Dept. of Electrical & Electronic Engineering

Position

Education

Book / Book Chapter
0
Journal Articles
1
Conference Papers
7
SL Authors Title Publisher Details Publication Year Type
1 M. Nuhi-Alamin, A. K. Sarkar, M. S. Talukder, M. Aljaidi and S. S. Swapnil Continuous Wavelet Transform Spectral Image Based Epileptic Episode Classification 25th ACIT 2024, Zarqa, Jordan. IEEE 2024 Conference
2 M. Nuhi-Alamin, N. N. Aishi, M. M. Hasan and S. S. Swapnil Prediction of Cryptocurrency Price Changes Using a Custom Physics-Informed Neural Network IEEE, 27th ICCIT 2024, Cox's Bazar, Bangladesh 2024 Conference
3 S. S. Swapnil, M. Nuhi-Alamin et al. An Ensemble Approach to Classify Mental Stress using EEG Based Time-Frequency and Non-Linear Features IEEE 2024 Conference
4 S. S. Swapnil, M. Nuhi-Alamin et al. Transfer Learning Based Paroxysmal Atrial Fibrillation Classification using Continuous Wavelet Transform Scalogram IEEE 2024 Conference
5 M. Nuhi-Alamin, A. K. Sarkar, A. A. Suman Handcrafted Features Extraction-Based Epileptic Seizure Classification IEEE 2023 Conference
6 M. S. Talukder, A. K. Sarkar, and M. Nuhi-Alamin An Improved Model for Nutrient Deficiency Diagnosis of Rice Plant by Ensemble Learning IEEE 2023 Conference
7 MSH Talukder, AK Sarkar, S Akter, M Nuhi-Alamin An Improved Model for Diabetic Retinopathy Detection by using Transfer Learning and Ensemble Learning arXiv preprint arXiv:2308.05178 2023 Journal
8 M. Nuhi-Alamin, M. S. Mahmud, A. K. Sarkar Smoothness Priority Approach Based Epileptic Seizure Classification Using ANN IEEE 2021 Conference
Phd Students
IdNameThesis workCurrent Position
Masters Students
IdNameThesis workCurrent Position
Undergraduate Students
IdNameThesis workCurrent Position
1701024Safkat Shahier SwapnilEEG-Based Emotion Classification using Time-Frequency domain Non-Linear FeaturesGraduated in 2023 ( preparing for higher studies in USA)
1901090Sadman SakibWorking on ECG using Deep LearningFinal Semester
1901103Md. Toufiqur RahmanWorking 0n Machine learning based greenhouse gas emission predictionFinal Semester
Activity Description