What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Internal medicine
Ioannis Pavlidis mostly deals with Artificial intelligence, Computer vision, Face, Facial recognition system and Simulation.
His research in Artificial intelligence intersects with topics in Lie detection, Polygraph and Pattern recognition.
His studies in Computer vision integrate themes in fields like Computer graphics and Breathing.
His biological study focuses on Three-dimensional face recognition.
His research investigates the connection between Facial recognition system and topics such as Image segmentation that intersect with problems in Noise.
The study incorporates disciplines such as Non contact measurement, Energy expenditure and Increased blood flow in addition to Simulation.
His most cited work include:
- Contact-Free Measurement of Cardiac Pulse Based on the Analysis of Thermal Imagery (271 citations)
- Urban surveillance systems: from the laboratory to the commercial world (190 citations)
- Seeing through the face of deception (185 citations)
What are the main themes of his work throughout his whole career to date?
Ioannis Pavlidis spends much of his time researching Artificial intelligence, Computer vision, Simulation, Face and Facial recognition system.
His research on Artificial intelligence often connects related areas such as Pattern recognition.
His Computer vision course of study focuses on Breathing and Signal and Waveform.
His Simulation research is multidisciplinary, incorporating perspectives in Real-time computing, Thermal infrared and Accelerometer.
His Facial recognition system research is multidisciplinary, relying on both Standard test image and Biometrics.
Lie detection is closely connected to Polygraph in his research, which is encompassed under the umbrella topic of Image.
He most often published in these fields:
- Artificial intelligence (41.34%)
- Computer vision (36.31%)
- Simulation (15.08%)
What were the highlights of his more recent work (between 2015-2021)?
- Distracted driving (2.79%)
- Human–computer interaction (10.61%)
- Context (3.91%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Distracted driving, Human–computer interaction, Context, Applied psychology and Arousal.
The Distracted driving study combines topics in areas such as Biofeedback, Facial recognition system, Eye tracking and Driving simulator.
His Biofeedback research incorporates elements of Statistical filtering, Peripheral vision and Simulation.
Ioannis Pavlidis works mostly in the field of Simulation, limiting it down to topics relating to Affect and, in certain cases, Task, as a part of the same area of interest.
His work deals with themes such as Computer security, Multiplexing, Wearable computer and Task engagement, which intersect with Human–computer interaction.
His Arousal study which covers Cognitive psychology that intersects with Naturalistic driving and User-centered design.
Between 2015 and 2021, his most popular works were:
- A multimodal dataset for various forms of distracted driving. (29 citations)
- Dissecting Driver Behaviors Under Cognitive, Emotional, Sensorimotor, and Mixed Stressors. (24 citations)
- Delineating the Operational Envelope of Mobile and Conventional EDA Sensing on Key Body Locations (16 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Internal medicine
Empirical research, Human–computer interaction, Wearable computer, Simulation and Stressor are his primary areas of study.
His biological study spans a wide range of topics, including Envelope and Key.
His Wearable computer research integrates issues from Usability and Task.
His research investigates the connection between Simulation and topics such as Cognitive psychology that intersect with issues in Arousal.
Ioannis Pavlidis performs integrative study on Dangerous driving and Artificial intelligence.
Artificial intelligence and Distracted driving are commonly linked in his work.
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