What is he best known for?
The fields of study Thiagalingam Kirubarajan is best known for:
- Radar
- Radar tracker
- Pulse-Doppler radar
Thiagalingam Kirubarajan is investigating Radar engineering details as part of his 3D radar, Low probability of intercept radar and Radar lock-on and Radar engineering details study.
In his works, Thiagalingam Kirubarajan conducts interdisciplinary research on Low probability of intercept radar and Radar engineering details.
His research on Radar lock-on frequently connects to adjacent areas such as Radar imaging.
His studies link 3D radar with Radar imaging.
He integrates Artificial intelligence with Data mining in his study.
Thiagalingam Kirubarajan merges many fields, such as Data mining and Artificial intelligence, in his writings.
His Telecommunications study frequently draws parallels with other fields, such as Clutter.
He combines topics linked to Telecommunications with his work on Clutter.
He merges Radar with Sensor fusion in his study.
His most cited work include:
- Ground target tracking with variable structure IMM estimator (278 citations)
- Probabilistic Data Association Techniques for Target Tracking in Clutter (215 citations)
- Multisensor resource deployment using posterior Cramer-Rao bounds (184 citations)
What are the main themes of his work throughout his whole career to date
Radar tracker, Radar imaging and Clutter are the main areas of his Radar studies.
Thiagalingam Kirubarajan integrates Artificial intelligence and Data mining in his research.
In his works, he conducts interdisciplinary research on Data mining and Artificial intelligence.
With his scientific publications, his incorporates both Telecommunications and Electronic engineering.
In his work, he performs multidisciplinary research in Electronic engineering and Telecommunications.
He conducts interdisciplinary study in the fields of Algorithm and Mathematical optimization through his works.
In his papers, Thiagalingam Kirubarajan integrates diverse fields, such as Mathematical optimization and Algorithm.
Many of his studies on Pedagogy apply to Tracking (education) as well.
His Tracking (education) study frequently links to other fields, such as Pedagogy.
Thiagalingam Kirubarajan most often published in these fields:
- Artificial intelligence (75.61%)
- Telecommunications (64.63%)
- Algorithm (54.88%)
What were the highlights of his more recent work (between 2014-2018)?
- Radar (83.33%)
- Telecommunications (83.33%)
- Radar tracker (66.67%)
In recent works Thiagalingam Kirubarajan was focusing on the following fields of study:
Thiagalingam Kirubarajan works mostly in the field of Real-time computing, limiting it down to concerns involving Automatic Identification System and, occasionally, Data mining.
He regularly ties together related areas like Automatic Identification System in his Data mining studies.
His work in Computer vision is not limited to one particular discipline; it also encompasses Tracking system, Frequency domain and Sensor fusion.
Frequency domain connects with themes related to Computer vision in his study.
He combines Sensor fusion and Kalman filter in his research.
Kalman filter and Tracking system are frequently intertwined in his study.
He integrates Radar with Multipath propagation in his research.
Borrowing concepts from Radar, he weaves in ideas under Multipath propagation.
His research is interdisciplinary, bridging the disciplines of Clutter and Telecommunications.
Between 2014 and 2018, his most popular works were:
- Measurement level AIS/radar fusion (27 citations)
- Multisensor-multitarget bearing-only sensor registration (22 citations)
- An Improved Oblique Projection Method for Sea Clutter Suppression in Shipborne HFSWR (15 citations)
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
