What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- Telecommunications
Ilangko Balasingham mostly deals with Wireless, Wireless sensor network, Computer network, Communication channel and Telecommunications.
His work on Body area network is typically connected to Software deployment as part of general Wireless study, connecting several disciplines of science.
His Wireless sensor network research integrates issues from Cognitive radio, Spread spectrum, Distributed computing and Frequency allocation.
His research in Distributed computing intersects with topics in Quality of service, Game theory, Enhanced Interior Gateway Routing Protocol and Routing protocol.
His Computer network research incorporates elements of Wireless network, Wi-Fi array and Key distribution in wireless sensor networks.
His Communication channel research includes themes of Radio propagation, Electronic engineering and Ultra-wideband.
His most cited work include:
- Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge (158 citations)
- On the Opportunities and Challenges in Microwave Medical Sensing and Imaging (146 citations)
- Propagation models for IEEE 802.15.6 standardization of implant communication in body area networks (89 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Wireless, Wireless sensor network, Electronic engineering, Computer network and Ultra-wideband.
His Wireless research is under the purview of Telecommunications.
In Wireless sensor network, Ilangko Balasingham works on issues like Distributed computing, which are connected to Routing protocol, Wireless Routing Protocol and Data transmission.
His work in Electronic engineering tackles topics such as Communication channel which are related to areas like Transmission.
His work deals with themes such as Cognitive radio, Wireless network and Relay, which intersect with Computer network.
His Ultra-wideband research is multidisciplinary, incorporating elements of Radio propagation and Delay spread.
He most often published in these fields:
- Wireless (27.21%)
- Wireless sensor network (21.77%)
- Electronic engineering (21.43%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (10.88%)
- Wireless (27.21%)
- Communication channel (11.90%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Wireless, Communication channel, Pattern recognition and Antenna are his primary areas of study.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Colonoscopy, Machine learning and Capsule endoscopy.
His research integrates issues of Energy harvesting, Wearable computer, Modulation and Electrical engineering, Electronics in his study of Wireless.
His study looks at the intersection of Modulation and topics like Bit error rate with Electronic engineering.
His studies examine the connections between Communication channel and genetics, as well as such issues in Molecular communication, with regards to Neuroscience.
His Antenna research incorporates themes from Transmitter, Radio frequency, Transceiver and Output impedance.
Between 2017 and 2021, his most popular works were:
- Automatic Colon Polyp Detection Using Region Based Deep CNN and Post Learning Approaches (49 citations)
- Machine Learning for Smart Building Applications: Review and Taxonomy (26 citations)
- Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video (23 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- Telecommunications
Ilangko Balasingham mainly focuses on Artificial intelligence, Pattern recognition, Convolutional neural network, Biomedical engineering and Feature extraction.
His Artificial intelligence study incorporates themes from Building automation and Profiling.
His study in Pattern recognition is interdisciplinary in nature, drawing from both Feature and Colon polyps.
His Convolutional neural network research is multidisciplinary, incorporating perspectives in False positive paradox and Deep learning.
Ilangko Balasingham has researched Biomedical engineering in several fields, including Pulse, Energy consumption, Implant, Cardiac pacemaker and Antenna.
Ilangko Balasingham interconnects Acoustics, Radar cross-section, Bistatic radar and Wireless in the investigation of issues within Antenna.
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