What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Ecology
- Computer vision
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Communication, Pattern recognition and Motion.
The various areas that Mandyam V. Srinivasan examines in his Artificial intelligence study include Apidae, Visual perception and Touchdown.
Mandyam V. Srinivasan combines subjects such as Aculeata, Perpendicular and Odometry with his study of Computer vision.
His study in Communication is interdisciplinary in nature, drawing from both Contrast, Foraging, Apoidea and Neuroscience, Optomotor response.
Mandyam V. Srinivasan has included themes like Orientation, Discrimination learning, Cortical processing and Visual system in his Pattern recognition study.
The Motion study which covers Motion camouflage that intersects with Ocular physiology, Stereo cameras and Active camouflage.
His most cited work include:
- Predictive Coding: A Fresh View of Inhibition in the Retina (750 citations)
- Honeybee navigation en route to the goal: visual flight control and odometry (493 citations)
- The concepts of ‘sameness’ and ‘difference’ in an insect (424 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Artificial intelligence, Computer vision, Communication, Optics and Robot.
Artificial intelligence and Pattern recognition are commonly linked in his work.
His Computer vision study incorporates themes from Terrain and Odometry, Mobile robot.
His Communication study integrates concerns from other disciplines, such as Perception, Motion detection, Apidae, Sensory cue and Foraging.
His Optics study combines topics in areas such as Image processing and Optical flow.
His Mobile robot navigation study, which is part of a larger body of work in Robot, is frequently linked to Constant, bridging the gap between disciplines.
He most often published in these fields:
- Artificial intelligence (51.10%)
- Computer vision (38.67%)
- Communication (14.92%)
What were the highlights of his more recent work (between 2012-2021)?
- Artificial intelligence (51.10%)
- Computer vision (38.67%)
- Control theory (4.70%)
In recent papers he was focusing on the following fields of study:
Mandyam V. Srinivasan mainly investigates Artificial intelligence, Computer vision, Control theory, Simulation and Flight speed.
Mandyam V. Srinivasan has researched Artificial intelligence in several fields, including Drag and Visual perception.
His Computer vision research incorporates elements of Odometry and Position.
His studies in Odometry integrate themes in fields like Odometer, Landmark and Communication.
His work on Trajectory and Quadcopter as part of his general Control theory study is frequently connected to Constant, thereby bridging the divide between different branches of science.
His work in Flow addresses issues such as Motion perception, which are connected to fields such as Guidance system, Touchdown, Orientation and Robot.
Between 2012 and 2021, his most popular works were:
- A universal strategy for visually guided landing (92 citations)
- A universal strategy for visually guided landing (92 citations)
- Selective attention in the honeybee optic lobes precedes behavioral choices (59 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Ecology
- Computer vision
Mandyam V. Srinivasan focuses on Artificial intelligence, Computer vision, Simulation, Acoustics and Melopsittacus.
His work deals with themes such as Optical mouse, Visual perception and Position, which intersect with Artificial intelligence.
In his work, Mandyam V. Srinivasan performs multidisciplinary research in Computer vision and Airflow.
His research integrates issues of Orientation, Robot, Surface and Flow in his study of Simulation.
His research investigates the connection between Acoustics and topics such as Wingspan that intersect with issues in Body size.
His research in Melopsittacus intersects with topics in Aeronautics and Vision based.
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