Organization profile

Organisation profile

Instrumentation and Control Engineering is a multi-disciplinary branch which includes electrical, electronics and instrumentation. It enriches the students to excel in the area of automation where the students are exposed to various subjects related to measurements and control.

The department was established in 2001 and has expertise in the field of Applied Electronics, Sensor Technology, Control Systems, Process Control, etc.

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Controllers Engineering & Materials Science
Sensors Engineering & Materials Science
Distillation columns Engineering & Materials Science
Calibration Engineering & Materials Science
Neural networks Engineering & Materials Science
Support vector machines Engineering & Materials Science
Classifiers Engineering & Materials Science
Actuators Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1997 2019

Analysis of a flow process for variation of orifice dimensions with design of adaptive instrumentation

Sravani, V. & Santhosh, K. V., 01-01-2019, Lecture Notes in Electrical Engineering. Springer Verlag, p. 561-573 13 p. (Lecture Notes in Electrical Engineering; vol. 478).

Research output: Chapter in Book/Report/Conference proceedingChapter

Orifices
Calibration
Flow measurement
Measurement errors
Shear stress
1 Citations

Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study

Gudigar, A., Raghavendra, U., San, T. R., Ciaccio, E. J. & Acharya, U. R., 01-01-2019, In : Future Generation Computer Systems. 90, p. 359-367 9 p.

Research output: Contribution to journalArticle

Multiresolution analysis
Magnetic resonance
Brain
Neurology
Magnetic resonance imaging

Design of an adaptive soft sensor for measurement of liquid level independent of liquid

Santhosh, K. V. & Nayak, S., 01-01-2019, Lecture Notes in Electrical Engineering. Springer Verlag, p. 523-535 13 p. (Lecture Notes in Electrical Engineering; vol. 478).

Research output: Chapter in Book/Report/Conference proceedingChapter

Sensors
Liquids
Impurities
Level measurement
Kalman filters