Faculty Profile

Ahmed, Md. Rayhan

Assistant ProfessorEmail : rayhan@cse.uiu.ac.bd

MS.c– United International University. (2020)

BS.c– Ahsanullah University of Science and Technology. (2015)

HSC– Dania College, Dhaka. (2009)

SSC– Matuail Bahumukhi High School. (2007)

 

  • Field: Machine Learning, Deep Learning, Computer Vision, Network Security.
  • Topic: Speech Analysis, Sound & Image Processing, Biomedical Image Analysis, Pattern Recognition, Biometrics, Pose Estimation, and Software Defined Networks.

  1. Assistant Professor – Dept. of CSE, United International University. (Present)
  2. Senior Lecturer – Dept. of CSE, Stamford University Bangladesh. (25th March 2018 – 1st July 2021)
  3. Lecturer – Dept. of CSE, Stamford University Bangladesh. (9th May 2015 – 24th March 2018)
  4. Software Engineer – Brac IT Services (Bits). (10th December 2014 – 7th May 2015 )
  5. Adjunct Faculty – Dept. of CSE, Ahsanullah University of Science and Technology. (2016-2020)
  6. Adjunct Faculty – Dept. of EEE, Independent University Bangladesh. (2020)

Journals

  1. Md. Rayhan Ahmed, Salekul Islam, A.K.M. Muzahidul Islam, Swakkhar Shatabda, “An Ensemble 1D-CNN-LSTM-GRU Model with Data Augmentation for Speech Emotion Recognition.” (Expert Systems with Applications, 218, 119633, IF: 8.665, Q1).
  2. Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed, Swakkhar Shatabda, A.K.M. Muzahidul Islam, Salekul Islam, “DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images” – (Neural Computing and Applications, Springer 2022 – Accepted, IF: 5.102, Q1).
  3. Md. Rayhan Ahmed, Md. Asif Iqbal Fahim, A.K.M. Muzahidul Islam,  Salekul Islam, Swakkhar Shatabda, “DOLG-Next: Deep Orthogonal Fusion of Local and Global Features with ConvNext for Biomedical Image Segmentation.” ( Neurocomputing, Elsevier 2022– Accepted with minor corrections – IF: 5.779, Q1)
  4. Md. Rayhan Ahmed, A.K.M. Muzahidul Islam, Swakkhar Shatabda, Salekul Islam, “Blockchain-based Identity Management System and Self-Sovereign Identity Ecosystem: A Comprehensive Survey.” (IEEE Access, 10, 113436-113481, 2022 – IF: 3.476, Q1)
  5. Md. Rayhan Ahmed, Salekul Islam, Swakkhar Shatabda, A.K.M. Muzahidul Islam, Towhidul Islam Robin, “Intrusion Detection System in Software-Defined Networks Using Machine Learning and Deep Learning Techniques –A Comprehensive Survey.” (Computer Science Review – Under Review – IF: 8.757).
  6. Rakesh Kumar Das, Nahidul Islam, Md. Rayhan Ahmed, Salekul Islam, Swakkhar Shatabda, A.K.M. Muzahidul Islam, “BanglaSER: A speech emotion recognition dataset for the Bangla language.” (Data in Brief – Elsevier, 2022 – Scopus indexed, Q4), https://doi.org/10.1016/j.dib.2022.108091
  7. Md. Rayhan Ahmed, “Leveraging Convolutional Neural Network and Transfer Learning for Cotton Plant and Leaf Disease Recognition,” International Journal of Image, Graphics and Signal Processing (IJIGSP- Scopus indexed), Vol.13, No.4, pp. 47-62, 2021.DOI: 10.5815/ijigsp.2021.04.04
  8. Md. Rayhan Ahmed, Towhidul Islam Robin, Ashfaq Ali Shafin, “Automatic Environmental Sound Recognition (AESR) Using Convolutional Neural Network”, International Journal of Modern Education and Computer Science (IJMECS- Scopus indexed, Q2), Vol.12, No.5, pp. 41-54, 2020. DOI: 10.5815/ijmecs.2020.05.04
  9. Md. Rayhan Ahmed, Ashfaq Ali Shafin, “Statistical and Machine Learning Analysis of Impact of Population and Gender Effect in GDP of Bangladesh: A Case Study,” International Journal of Information Technology and Computer Science (IJITCS), Vol.12, No.1, pp.24-33, 2020. DOI: 10.5815/ijitcs.2020.01.04
  10. Rayhan Ahmed Simanto, A. Rasel, Rianon Zaman, Md. Towhidul Islam Robin, “An Efficient Approach to Mine High Utility Itemsets.” (IJSRSET-2016)
  11. Md. Mohsin, Md. Rayhan Ahmed, Tanveer Ahmed, “Closed Frequent Pattern Mining Using Vertical Data Format: Depth First Approach.” (IJSRSET-2015)

Conferences

  1. Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed, Tanveer Ahmed, “MCFFA-Net: Multi-Contextual Feature Fusion and Attention Guided Network for Apple Foliar Disease Classification” – (In 2022 25th International Conference on Computer and Information Technology (ICCIT) (pp. 757-762). IEEE).
  2. Md. Enamul Haque, Md. Rayhan Ahmed, Razia Sultana Nila, Salekul Islam, “Human Monkeypox Disease Detection Using Deep Learning Models and Attention Mechanisms” – (In 2022 25th International Conference on Computer and Information Technology (ICCIT), pp. 1069-1073. IEEE, 2022).
  3. Saleheen Siddique, Umma Hani Mim, Eyamin Bin Aman, Md. Rayhan Ahmed, “3:3:2 – A Sustainable Urban Development Model: Transforming Dhaka into a Sustainable Mega-City.” (5th UIU-ICSD conference proceeding – Accepted).

Theory

Object-Oriented Programming

Digital Image Processing

Computer Networks

Operating System Concepts

Discrete Mathematics

Cryptography and Network Security (at IUB)

Database Management System (at SUB)

Advance Programming-Java (at SUB)

Discrete Mathematics (at SUB)

Data Communication (at SUB)

 

Sessional

Pattern Recognition Lab

Computer Networks Lab

Introduction to Computer Systems

Artificial intelligence Lab (at AUST)

Advance Programming-Java Lab (at AUST)

Research project funding (Project Code: UIU/IAR/02/2021/SE/25 ) was received from Institute for Advanced Research (IAR), United International University in 2021. Grant: BDT 499,990.00 and duration: 12 months.

Project Title: Semantic Biomedical Image Segmentation Using Attention Mechanism Driven Modified U-Net Based on Deep CNN