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Computer Science

D-Index
44
Citations
6227
World Ranking
7696
National Ranking
1

Overview

M. Shamim Kaiser is affiliated with Jahangirnagar University in Bangladesh and has an extensive research portfolio in the fields of Computer Science, Engineering, and Medicine. Their work spans multiple subfields including Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, and Cognitive Neuroscience.

The topics studied by Kaiser include IoT and Edge/Fog Computing, Brain Tumor Detection and Classification, EEG and Brain-Computer Interfaces, Blockchain Technology Applications and Security, COVID-19 diagnosis using AI, Artificial Intelligence in Healthcare, and Machine Learning in Healthcare.

Recent publications by Kaiser include:

  • Deep learning in mining biological data (2021), 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), Brain Informatics
  • Performance Analysis of Machine Learning Approaches in Stroke Prediction (2020), 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
  • Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey (2021), IEEE Access
  • Application of Artificial Intelligence in Predicting Earthquakes: State-of-the-Art and Future Challenges (2020), IEEE Access

Kaiser frequently collaborates with several co-authors, most notably:

  • Mufti Mahmud (96 publications)
  • Shamim Al Mamun (26 publications)
  • Kanad Ray (18 publications)
  • Biman Barua (17 publications)
  • Md. Sazzadur Rahman (16 publications)

The scientist has published extensively in various venues including:

  • IEEE Access (16 publications)
  • Preprints.org (11 publications)
  • arXiv (Cornell University) (11 publications)
  • Cognitive Computation (6 publications)
  • PLoS ONE (5 publications)

Kaiser's contributions include several book publications through recognized publishers. Among these are books released by Springer Science+Business Media, including titles such as Applied Intelligence and Informatics (2022), Brain Informatics (2020 and 2021 editions). Additional books have been published by Springer International Publishing and the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

  • Applied Intelligence and Informatics (2022), Springer Science+Business Media
  • Brain Informatics (2021), Springer Science+Business Media
  • Brain Informatics (2020), Springer Science+Business Media
  • Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021 (2022), Springer International Publishing
  • Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering (2022), Springer International Publishing
  • Machine Intelligence and Emerging Technologies (2023), Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  • Rhythms in Healthcare (2022), Springer Nature

Best Publications

  • 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

  • Performance Analysis of Machine Learning Approaches in Stroke Prediction

    Minhaz Uddin Emon;Maria Sultana Keya;Tamara Islam Meghla;Md. Mahfujur Rahman

  • 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

  • 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

  • Energy-efficiency and reliability in MAC and routing protocols for underwater wireless sensor network

    Nusrat Zerin Zenia;Mohammed Aseeri;Muhammad R. Ahmed;Zamshed I. Chowdhury

  • 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

  • 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

  • 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

  • Artificial Intelligence and Machine Learning for Ensuring Security in Smart Cities

    Sabbir Ahmed;Md. Farhad Hossain;M. Shamim Kaiser;Manan Binth Taj Noor

  • COVID-19 Infection Detection from Chest X-Ray Images Using Hybrid Social Group Optimization and Support Vector Classifier.

    Asu Kumar Singh;Anupam Kumar;Mufti Mahmud;M Shamim Kaiser

  • A Neuro-Fuzzy Control System Based on Feature Extraction of Surface Electromyogram Signal for Solar-Powered Wheelchair

    M. Shamim Kaiser;Zamshed Iqbal Chowdhury;Shamim Al Mamun;Amir Hussain;Amir Hussain

  • i Worksafe: Towards Healthy Workplaces During COVID-19 With an Intelligent Phealth App for Industrial Settings

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

  • fASSERT: A Fuzzy Assistive System for Children with Autism Using Internet of Things

    Anjum Ismail Sumi;Most. Fatematuz Zohora;Maliha Mahjabeen;Tasnova Jahan Faria

  • Deep Learning in Mining Biological Data

    Mufti Mahmud;M Shamim Kaiser;Amir Hussain

Frequent Co-Authors

Mufti Mahmud
Mufti Mahmud Nottingham Trent University
Amir Hussain
Amir Hussain Edinburgh Napier University
Keshav Dahal
Keshav Dahal University of the West of Scotland
Simon Fong
Simon Fong University of Macau
Nilanjan Dey
Nilanjan Dey Techno International New Town
Randolph J. Nudo
Randolph J. Nudo University of Kansas
Michela Chiappalone
Michela Chiappalone Italian Institute of Technology
Venkatesan Rajinikanth
Venkatesan Rajinikanth Saveetha University
Fumiyuki Adachi
Fumiyuki Adachi Tohoku University
Omprakash Kaiwartya
Omprakash Kaiwartya Nottingham Trent University

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