Admissions 2019
Academics
Computational Engineering is a broad, rapidly growing multidisciplinary area tha encompasses applications in science/engineering, applied mathematics, numerical analysis, and computer science. Going from application area to computational results requires domain expertise, mathematical modeling, numerical analysis, algorithm development, software implementation, visualization and validation of results.
Computational Engineering makes use of the techniques of applied mathematics and computer science for the development of problem-solving methodologies, which will be the building blocks for solutions to scientific engineering problems of ever-increasing complexity. It differs from mathematics or computer science in that analysis and methodologies are directed specifically at the solution of problem classes from science and engineering, and will generally require a substantial collaboration from those disciplines.
On the other hand, it is certainly more than using software packages to generate and visualize the results, since it also concerns the development of algorithms for solving scientific and technical problems. Today, many problems in science and engineering can be treated only by means of efficient use of computers. Computation is now regarded as an equal and indispensable partner, along with theory and experiment, in the advancement of scientific knowledge and engineering practice. Numerical simulation enables the study of complex systems and natural phenomena that would be too expensive or dangerous, or even impossible, to study by direct experimentation.
Fellowship is awarded to meritorious students on the condition that they satisfy the criteria set by the centre.
Duration of the Course : Two years
General Subjects Curriculum & Syllabus
Highlights of the Programme
CEN offers two M. Tech. level course which lays the foundational bricks for data science, machine learning, automation related areas.
- Computational Engineering and Networking (CEN)
- Remote Sensing and Wireless Sensor Networks (RSW)
Thrust Areas in Research
Research is focused in data science for :
- Machine learning and Pattern Recognition
- Health care
- Driverless Car
- Power Quality Assessment for Smart Grids
- Computer Vision in Robotics
- Natural Language Processing
- Hyper Spectral Imaging based remote sensing
- High Performance Computing
- Speech Processing
- Big data analytics in Text, Vision, health care and Energy
Workshops @ CEN
Jan
19
2019
The Centre for Excellence in Computational Engineering & Networking, Amrita Vishwa Vidyapeetham, Coimbatore campus, will...
Sep
23
2018
The Centre for Excellence in Computational Engineering & Networking, Amrita Vishwa Vidyapeetham, Coimbatore campus, will...
Sep
22
2018
The Centre for Excellence in Computational Engineering & Networking, Amrita Vishwa Vidyapeetham, Coimbatore campus, will...
Sep
19
2018
The Center for Computational Engineering and Networking (CEN) at Amrita Vishwa Vidyapeetham is conducting a Shared task on...
Funded Projects in CEN
- Development of English to Indian Languages : Machine Translation System
- Wordnet DIT
- “Analysis, Processing and Synthesis of Emotions in Speech.” DST, Govt of India
- Improving coconut production in Kerala using soil data through Remote Sensing and GIS technique CDB, Kerala
- Joint Development of Speech modules. C-DAC, Pune
- U –share : Multiuser realtime shared access platform for remote experimentation MHRD
- Machine Translation MHRD
- Machine translation system for cinema lab-title translation Consultancy Project from Sharp Electronics
- Computing Tools for Tamil Language Teaching & Learning Tamil Virtual Academy
- Big data for Cyber Security Paramount
- “ Virgin Coconut Oil As A Neuro Regenerative Agent For Alzheimer‟S Disease- Computational Analysis And Pharmacogenomic Study”
- Design and Evaluation of a DRFM Mitigation system National Instruments Corporation, USA
- Large Scale Multilingual Machine Assisted Translation workbench with Mono- lingual search on cloud for eBhasha MMP DEITY, Govt of India
- Early Warning Rframework Part-2 - Network Security Situational awareness and countermeasures using DNS, BGP, Netflow and remote content inception DEITY, Govt of India
Best Student Projects
- Best paper award in ICCACI-2017 based on the final year project work
- 2016-2018 batch students secured 2nd Place in the Rus profiling shared task based on the ongoing project works
Student Achievements
- 2014-2016 batch student secured PhD admission in IIT Madras
- 2014-2016 batch student secured Ph.D admission at IISc Bangalore
- 2015-2017 batch student secured Ph.D admission at Deakin University
Placements
Eligibility Criteria
Applicants should have any of the following, scoring a minimum of 60% with a pass. Bachelor’s degree in Engineering / Technology (including the final year students awaiting the results) Master’s degree in any branch of Science / Mathematics / Statistics / Computer Applications Professional Society Examinations recognised by MHRD / UPSC / AICTE equivalent to B.E. / B.Tech / B. Arch.
