Signal Processing & Machine Learning
MTech (Electrical Engineering) - IIT Gandhinagar
Curriculum
Curriculum
Courses Specified by the Discipline
Courses Specified by the Discipline
Students must credit at least 16 credits of courses from this list under the 'Courses Specified by the Discipline' basket. The courses in this list can also be considered as Electives.
- EE 605 Digital Image Processing
- EE 606 Applied Statistical Bioelectric Signal Analysis
- EE 609 Advanced Signal Processing
- EE 633 Fiber Optics and Photonics
- EE 639 Lasers
- EE 641 Electronic Instrumentation
- EE 645 3D Computer Vision
- ES 612 Artificial Intelligence
- ES 615 Nature Inspired Computing
- ES 625 Optical Communication
- ES 637 Mathematical Foundations for Computer Vision and Graphics
- ES 639 Multimedia Security
- ES 645 Optimization Methods For Machine Learning
- ES 654 Machine Learning
- ES 655 Medical Imaging
- ES 657 Biomedical Ultrasound
Faculty
Faculty
Soumyabrata Chakrabarty
Soumyabrata Chakrabarty
Arup Chakraborty
Arup Chakraborty
Professor
Tunable Diode Laser Spectroscopy for Gas Parameter Measurement
Optical Physical and Chemical Sensing
Photonics
Nithin V George
Nithin V George
TEOCO Chair Associate Professor
Active Noise Control
Adaptive Signal Processing
Assistive Listening Devices
Psychoacoustics
Ravi Hegde
Ravi Hegde
Associate Professor
Computational Photonics
Deep Learning
Nanophotonics
Silicon Photonics
Nanoelectronics
High Performance Computing
Shanmuganathan Raman
Shanmuganathan Raman
Jibaben Patel Chair Associate Professor
Computer Vision
Deep Learning
Computer Graphics
Pattern Recognition
Broad Research Areas
Broad Research Areas
- Antenna Digital Beamforming
- Artificial Intelligence
- Audio Signal Processing
- Computational Electromagnetics
- Computer Vision
- Deep Learning
- Electromagnetic Metamaterials
- Fiber Optics
- High-Performance Computing
- Machine Learning
- Pattern Recognition
- Photonics
- Soft Computing