Undergraduate
B.Tech Biomedical Engineering
Duration: 4 Years
Intake: 60
Eligibility: KEAM + 10+2 (PCM >= 45%)
First in North Kerala to offer Biomedical Engineering at UG level. Combining engineering with healthcare to develop analytical and practical skills for real-world health applications.

The Biomedical Engineering Department was formed in 2011 with an intake of 29 students, offering a B.Tech programme that blends engineering with healthcare applications.
The department emphasizes medical instrumentation, signal and image processing, and interdisciplinary training aligned with industry needs.
Eligibility
KEAM + 10+2 (PCM >= 45%)
Undergraduate
Duration: 4 Years
Intake: 60
Eligibility: KEAM + 10+2 (PCM >= 45%)
To be nationally recognized as a high-quality biomedical engineering department.
Graduates will be able to:

Digital logic design and circuit implementation.

Analog circuit design and analysis.

Specialized biomedical instrumentation and measurement.

Medical computing, virtual instrumentation, and simulation.

Hospital and clinical equipment training.

Hands-on electrical wiring and electronics assembly.

MATLAB-based signal and medical image analysis.

Microcontroller programming and embedded systems.
Department laboratories are listed above. Shared campus infrastructure—including hostel, transport, library, sports, and classrooms—is maintained for all programmes.
View campus infrastructureMeet the experts in Biomedical Engineering.
HOD
PhD
Over 14 years
teaching
Dean
M.Tech
Over 19 years
teaching
Assistant Professor
M.E.
Over 13 years
teaching
Assistant Professor
M.E.
Over 3 years
teaching
Assistant Professor
M.Tech
Over 4 years
teaching
Assistant Professor
M.E.
Close to 3 years teaching + 6 months industry
teaching
Assistant Professor
M.Tech
Close to 1 year
teaching
Assistant Professor
M.Tech
Close to 6 months
teaching
Lab Instructor
ITI
Over 15 years
teaching
Lab Instructor
Diploma
Over 6 years
teaching
Lab Instructor
Diploma in Electronics Engineering
Over 6 years
teaching

2024
Exposure to hospital-grade devices, calibration concepts, and clinical engineering roles.

2023
Department seminar linking MATLAB practicals to biomedical imaging workflows.
| Sl.No | Research Title | Researcher(s) | Resource |
|---|---|---|---|
| 1 | An Approach for Despeckling a Sequence of Ultrasound Images Based on Statistical Analysis | Sameera V Mohd Sagheer, Sudhish N George | - |
| 2 | Ultrasound image despeckling using low rank matrix approximation approach | Sameera V Mohd Sagheer, Sudhish N George, Sudeep Koshy Kurien | - |
| 3 | Denoising of Rician corrupted 3D Magnetic Resonance Images using Tensor-SVD | Hawazin P. Khaleel, Sameera V Mohd Sagheer et al. | - |
| 4 | Denoising of Low-dose CT Images via Low-Rank Tensor Modeling and Total Variation Regularization | Sameera V Mohd Sagheer, Sudhish N George | - |
Interested in Biomedical Engineering?