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Computer Science

D-Index
56
Citations
9977
World Ranking
4150
National Ranking
251

Research.com Recognitions

  • 2017 - ACM Senior Member

Overview

Mufti Mahmud is affiliated with Nottingham Trent University in the United Kingdom and has an extensive research record in computer science, neuroscience, and medicine. Their work primarily focuses on artificial intelligence and its applications in healthcare and cognitive neuroscience.

The scientist's research fields include:

  • Computer Science
  • Neuroscience
  • Medicine

Their subfields of study highlight specializations in:

  • Artificial Intelligence
  • Cognitive Neuroscience
  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Electrical and Electronic Engineering

Mufti Mahmud's main research topics encompass:

  • EEG and Brain-Computer Interfaces
  • Machine Learning in Healthcare
  • COVID-19 Diagnosis Using AI
  • Brain Tumor Detection and Classification
  • Emotion and Mood Recognition
  • Artificial Intelligence in Healthcare
  • Anomaly Detection Techniques and Applications

Recent research papers by or including Mufti Mahmud are:

  • "Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence" (2023), published in Cognitive Computation
  • "Embedded Devices for Neuromorphic Time-Series Assessment" (2022), published in Maryland Shared Open Access Repository (USMAI Consortium)
  • "Deep learning in mining biological data" (2021), published in Nottingham Trent University's Institutional Repository (Nottingham Trent Repository)
  • "Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer's disease, Parkinson's disease and schizophrenia" (2020), published in Brain Informatics
  • "Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection" (2024), published in Brain Informatics

Their frequent co-authors include:

  • M. Shamim Kaiser
  • David J. Brown
  • Noushath Shaffi
  • Muhammad Arifur Rahman
  • Shamim Al Mamun

Mufti Mahmud has published extensively in several academic venues, especially:

  • IEEE Access
  • Cognitive Computation
  • Brain Informatics
  • Preprints.org
  • Sensors

Their book publications appear mainly with Springer publishers, with titles including:

  • Applied Intelligence and Informatics (Springer Science+Business Media, 2021 and 2022)
  • Advanced AI and Internet of Health Things for Combating Pandemics (Springer Science+Business Media, 2023)
  • Brain Informatics (Springer Science+Business Media, multiple years)
  • Artificial Intelligence in Healthcare (Springer Nature, 2022)
  • The Use of Artificial Intelligence for Space Applications (Springer Nature, 2023)
  • Rhythms in Healthcare (Springer Nature, 2022)
  • Information and Communication Technology for Competitive Strategies (Springer International Publishing, 2022)
  • ICT: Innovation and Computing (Springer International Publishing, 2024)
  • Intelligent Human Centered Computing (Springer tracts in human-centered computing, 2023)

Mufti Mahmud was recognized as an ACM Senior Member in 2017.

Best Publications

  • Applications of Deep Learning and Reinforcement Learning to Biological Data

    Mufti Mahmud;Mohammed Shamim Kaiser;Amir Hussain;Stefano Vassanelli

  • Deep Learning in Mining Biological Data

    Mufti Mahmud;M. Shamim Kaiser;T. Martin McGinnity;Amir Hussain

  • Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia

    Manan Binth Taj Noor;Nusrat Zerin Zenia;M Shamim Kaiser;Shamim Al Mamun

  • Toward a Heterogeneous Mist, Fog, and Cloud-Based Framework for the Internet of Healthcare Things

    Md. Asif-Ur-Rahman;Fariha Afsana;Mufti Mahmud;M. Shamim Kaiser

  • A Brain-Inspired Trust Management Model to Assure Security in a Cloud Based IoT Framework for Neuroscience Applications

    Mufti Mahmud;M. Shamim Kaiser;M. Mostafizur Rahman;M. Arifur Rahman

  • Towards Machine Learning Based Intrusion Detection in IoT Networks

    Unknown

  • Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey

    Shakila Zaman;Khaled Alhazmi;Mohammed A. Aseeri;Muhammad Raisuddin Ahmed

  • Application of Artificial Intelligence in Predicting Earthquakes: State-of-the-Art and Future Challenges

    Md. Hasan Al Banna;Kazi Abu Taher;M. Shamim Kaiser;Mufti Mahmud

  • A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence

    Md. Hasan Al Banna;Tapotosh Ghosh;Kazi Abu Taher;M. Shamim Kaiser

  • Social Group Optimization-Assisted Kapur's Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images.

    Nilanjan Dey;V. Rajinikanth;Simon James Fong;Simon James Fong;M. Shamim Kaiser

  • Towards an Accelerometer-Based Elderly Fall Detection System Using Cross-Disciplinary Time Series Features

    Md. Jaber Al Nahian;Tapotosh Ghosh;Md. Hasan Al Banna;Mohammed A. Aseeri

  • Artificial intelligence and internet of things in screening and management of autism spectrum disorder

    Tapotosh Ghosh;Md. Hasan Al Banna;Md. Sazzadur Rahman;M. Shamim Kaiser

  • A consensus novelty detection ensemble approach for anomaly detection in activities of daily living

    Salisu Wada Yahaya;Ahmad Lotfi;Mufti Mahmud

  • Advances in Crowd Analysis for Urban Applications Through Urban Event Detection

    Mohammed Shamim Kaiser;Khin T. Lwin;Mufti Mahmud;Donya Hajializadeh

  • TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets.

    Md. Shahriare Satu;Md. Imran Khan;Mufti Mahmud;Shahadat Uddin

  • Detecting Neurodegenerative Disease from MRI: A Brief Review on a Deep Learning Perspective

    Manan Binth Taj Noor;Nusrat Zerin Zenia;M. Shamim Kaiser;Mufti Mahmud

  • 3D DenseNet Ensemble in 4-Way Classification of Alzheimer’s Disease

    Juan Ruiz;Mufti Mahmud;Modasshir;M. Shamim Kaiser

  • TeKET : a Tree-Based Unsupervised Keyphrase Extraction Technique

    Gollam Rabby;Gollam Rabby;Saiful Azad;Saiful Azad;Mufti Mahmud;Kamal Z. Zamli;Kamal Z. Zamli

  • An Energy Conserving Routing Scheme for Wireless Body Sensor Nanonetwork Communication

    Fariha Afsana;Md. Asif-Ur-Rahman;Muhammad R. Ahmed;Mufti Mahmud

  • Short-Term Prediction of COVID-19 Cases Using Machine Learning Models

    Md. Shahriare Satu;Koushik Chandra Howlader;Mufti Mahmud;M. Shamim Kaiser

  • An XAI Based Autism Detection: The Context Behind the Detection

    Milon Biswas;M. Shamim Kaiser;Mufti Mahmud;Shamim Al Mamun

  • Trends and Challenges in Neuroengineering: Toward "Intelligent" Neuroprostheses through Brain-"Brain Inspired Systems" Communication.

    Stefano Vassanelli;Mufti Mahmud

  • Deep Learning in Mining Biological Data

    Mufti Mahmud;M Shamim Kaiser;Amir Hussain

Frequent Co-Authors

M. Shamim Kaiser
M. Shamim Kaiser Jahangirnagar University
Amir Hussain
Amir Hussain Edinburgh Napier University
Michela Chiappalone
Michela Chiappalone Italian Institute of Technology
Randolph J. Nudo
Randolph J. Nudo University of Kansas
TM McGinnity
TM McGinnity University of Ulster
Michele Giugliano
Michele Giugliano University of Modena and Reggio Emilia
Simon Fong
Simon Fong University of Macau
Bin Luo
Bin Luo Anhui University
Michele Magno
Michele Magno ETH Zurich
Luca Benini
Luca Benini ETH Zurich

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