World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6771
World Ranking
9731
National Ranking
27

Overview

Ilangko Balasingham is affiliated with the Norwegian University of Science and Technology in Norway. Their research focuses primarily on the intersection of engineering and medicine, producing a substantial body of work in both domains. Their main fields of study include Engineering with 75 publications and Medicine with 42. Within these areas, Balasingham's research covers significant subfields such as Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering, Cardiology and Cardiovascular Medicine, and Cellular and Molecular Neuroscience.

Their scientific contributions address a variety of topics, notably Wireless Body Area Networks, Molecular Communication and Nanonetworks, Neuroscience and Neural Engineering, Energy Harvesting in Wireless Networks, Extracellular Vesicles in Disease, Advanced Biosensing and Bioanalysis Techniques, and Radiomics and Machine Learning in Medical Imaging.

The following recent papers illustrate the scope and focus of their work:

  • Brain-on-a-chip: Recent advances in design and techniques for microfluidic models of the brain in health and disease (2022, Biomaterials)
  • Implants with Sensing Capabilities (2022, Chemical Reviews)
  • Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction (2020, Medical Image Analysis)
  • Biomedical applications of multifunctional magnetoelectric nanoparticles (2022, Materials Chemistry Frontiers)
  • Visualizing Extracellular Vesicles and Their Function in 3D Tumor Microenvironment Models (2021, International Journal of Molecular Sciences)

Balasingham has collaborated frequently with several researchers, including Mladen Veletić, Jacob Bergsland, Mohammad Zoofaghari, Hemin Ali Qadir, and Ali Khaleghi. These collaborations have led to numerous joint publications, reflecting a multidisciplinary approach to advancing their fields of expertise.

The scientist's work is frequently published in venues such as IEEE Access, IEEE Transactions on Molecular Biological and Multi-Scale Communications, IEEE Transactions on NanoBioscience, arXiv (Cornell University), and IEEE Transactions on Communications. These journals have featured multiple publications from Balasingham, indicating ongoing contributions to engineering and biomedical research communities.

Best Publications

  • Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge

    Jorge Bernal;Nima Tajkbaksh;Francisco Javier Sanchez;Bogdan J. Matuszewski

  • On the Opportunities and Challenges in Microwave Medical Sensing and Imaging

    Rohit Chandra;Huiyuan Zhou;Ilangko Balasingham;Ram M. Narayanan

  • Automatic Colon Polyp Detection Using Region Based Deep CNN and Post Learning Approaches

    Younghak Shin;Hemin Ali Qadir;Lars Aabakken;Jacob Bergsland

  • 5G: The Convergence of Wireless Communications

    Raúl Chávez-Santiago;Michał Szydełko;Adrian Kliks;Fotis Foukalas

  • Propagation models for IEEE 802.15.6 standardization of implant communication in body area networks

    R. Chavez-Santiago;K. Sayrafian-Pour;A. Khaleghi;K. Takizawa

  • Risk-based adaptive security for smart IoT in eHealth

    Habtamu Abie;Ilangko Balasingham

  • Wireless Sensor Networks - An Introduction

    Qinghua Wang;Ilangko Balasingham

  • Machine Learning for Smart Building Applications: Review and Taxonomy

    Djamel Djenouri;Roufaida Laidi;Youcef Djenouri;Ilangko Balasingham

  • Polyp Detection and Segmentation using Mask R-CNN: Does a Deeper Feature Extractor CNN Always Perform Better?

    Hemin Ali Qadir;Younghak Shin;Johannes Solhusvik;Jacob Bergsland

  • Traffic-Differentiation-Based Modular QoS Localized Routing for Wireless Sensor Networks

    Djamel Djenouri;Ilangko Balasingham

  • Dynamic Spectrum Allocation in Wireless Cognitive Sensor Networks: Improving Fairness and Energy Efficiency

    Sang-Seon Byun;I. Balasingham;Xuedong Liang

  • On using bargaining game for Optimal Placement of SDN controllers

    Adlen Ksentini;Miloud Bagaa;Tarik Taleb;Ilangko Balasingham

  • Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification

    Younghak Shin;Ilangko Balasingham

  • Experimental Evaluation of Implant UWB-IR Transmission With Living Animal for Body Area Networks

    Daisuke Anzai;Kenta Katsu;Raul Chavez-Santiago;Qiong Wang

  • Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video

    Hemin Ali Qadir;Ilangko Balasingham;Johannes Solhusvik;Jacob Bergsland

  • Ultra-wideband statistical propagation channel model for implant sensors in the human chest

    A. Khaleghi;R. Chavez-Santiago;I. Balasingham

  • New QoS and geographical routing in wireless biomedical sensor networks

    Djamel Djenouri;Ilangko Balasingham

  • A reinforcement learning based routing protocol with QoS support for biomedical sensor networks

    Xuedong Liang;I. Balasingham;Sang-Seon Byun

  • In-Body to On-Body Ultrawideband Propagation Model Derived From Measurements in Living Animals

    Pal Anders Floor;Raul Chavez-Santiago;Sverre Brovoll;Oyvind Aardal

  • Cognitive radio for medical body area networks using ultra wideband

    Raul Chavez-Santiago;Keith E. Nolan;Oliver Holland;Luca De Nardis

  • Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance

    Younghak Shin;Hemin Ali Qadir;Ilangko Balasingham

  • Ultra Wideband Wireless Body Area Network for Medical Applications

    I Balasingham;R Chavez-Santiago;J Bergsland;T A Ramstad

Frequent Co-Authors

Djamel Djenouri
Djamel Djenouri University of the West of England
Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Miloud Bagaa
Miloud Bagaa Université du Québec à Trois-Rivières
Mikael Skoglund
Mikael Skoglund Royal Institute of Technology
Ram M. Narayanan
Ram M. Narayanan Pennsylvania State University
Min Chen
Min Chen South China University of Technology
Tarik Taleb
Tarik Taleb Ruhr University Bochum
Nuno Borges Carvalho
Nuno Borges Carvalho University of Aveiro
Mohamed-Slim Alouini
Mohamed-Slim Alouini King Abdullah University of Science and Technology
Seppo Vainio
Seppo Vainio University of Oulu

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