Transform Signals to Action

Deliver exellence

A subsidiary of CUCENTOL with major focus on the signal processing aspects of acoustic data, especially underwater imaging, navigation and analysis of ambient noise field.

Listen to the depths

Listen to the depths

Ambient sound is an important aspect of underwater acoustics and is an extremely efficient way to propagate energy through the ocean. Knowledge about the characteristics of ocean noise and its distribution relative to the location and movements of its sources is important for understanding the potential impacts of anthropogenic sound. Ambient noise in the ocean is the sound field against which signals must be detected. In the ambient noise field, it is often difficult to ascribe a particular sound to a localized source. The character of ambient noise results both from the characteristics of the multitude of contributing sound sources and the ability of sound to propagate efficiently from one location to another.

Members

Faculty In charge

Prof. (Dr.) Supriya M.H.

With M.Tech and Ph.D from CUSAT and masters in business administration, her research and teaching areas of interest include Sonar Technology, Signal Processing as well as Underwater Target Recognition.

+91 (484) 2862320

supriyadoe@gmail.com

Associate

Arun A. Balakrishnan

With M.Tech in Signal Processing from the prestigious institute CET, Trivandrum and more than 31 faculty development programmes completed, his current field of interest is Image processing.

+91 (484) 2862320

arunab@cusat.ac.in

Associate

Mithun Haridas T. P.

With M.Tech in Embedded Systems from the prestigious Amrita Videyapeetam, Coimbatore and more than 11 faculty development programmes completed, his current field of interest is Machine Learning. At present he is pursing his Ph.D.

+91 (484) 2862320

mithuntp@cusat.ac.in

Post Doctoral Fellow

Dr.Minu A Pillai

Computer users and programmers have become so accustomed to using Windows, even for the changing capabilities and the appearances.Computer users and programmers have become so accustomed to using Windows, even for the changing capabilities and the appearances.

0484 2862320

minualeena@gmail.com

Research Scholar

Limna T J

Computer users and programmers have become so accustomed to using Windows, even for the changing capabilities and the appearances.

0484 2862320

limnatj@gmail.com

Research Scholar

Vijeesh P

With M.Sc Physics from St.Pauls College, Kalamassery, and SRFP from Indian Academy Of Sciences, Bangalore , and joined as Assistant Professor of Physics at The Cochin College , Kochi. He is currently doing research in the field of crystal growth and characterization techniques at CUSAT.

+880 (012) 8954 253

namastheviji@gmail.com

Research Scholar

Rashida

Computer users and programmers have become so accustomed to using Windows, even for the changing capabilities and the appearances.

+880 (012) 8954 253

rashidasuhail@gmail.com

Research Scholar

Chandrakantha A S

An Electronics and Communication Engineer, with Mtech in 'Optoelectronics and Laser Technology' from CUSAT. She is currently working as Principal at Govt. women's Polytechnic College, Thrissur. At present, she is pursuing her PhD

+880 (012) 8954 253

as.chandrakanta5@gmail.com

Research Scholar

Kurian Thomas

An Electronics and Telecommunication engineer, with an M.Tech in Digital Electronics and MBA in International Marketing, has over twenty years of experience in the field of telecommunication, embedded systems and software development. He is currently pursuing research in the field of secure communication.

+880 (012) 8954 253

kurian@ieee.org

Research Scholar

Suraj Kamal

With MSc. in Electronics from College of Applied Science, Thodupuzha, he is presently pursuing his Ph.D. His main areas of research are Applied Underwater Acoustics, Deep Learning, Parallel Computing and Target Recognition.

+880 (012) 8954 253

surajkamal@cusat.ac.in

Research Scholar

Satheesh Chandran C.

With M.Tech. in Electronics from Department of Electronics, CUSAT, he is currently pursuing his Ph.D. His research interests include Underwater Acoustics & Signal Processing, Target Classification and Representation Learning.

+880 (012) 8954 253

satheeshchandran@cusat.ac.in

01

Sonar

Target Tracking/Localization/Classification

  • Passive Acoustic Classification
  • Deep Learning Classifiers
  • Unsupervised Classifiers

02

Array Processing

Advanced Beamforming

  • Spatial Filtering
  • Localization
  • DOA Estimation

03

Image Processing

Acoustic/Optical

  • Area 1
  • Area 2
  • Area 3

04

Underwater Communication

Using AI/ML

  • Area 1
  • Area 2
  • Area 3
Sl Awardee Title Year
01 Binsu C. Kovoor Improved Biometric Authentication System using Multimodal Cue Integration 2016
02 Rithu James Blind Estimation of Sonar Images from Diverse Speckle-Scene Models 2018
03 Alex Raj S.M. Reconfigurable Platform Based Design in FPGA for Underwater Image Enhancement, Object detection and Pipeline Tracking 2018
04 Sherin B.M. Underwater Target Classifier with Improved Success Rate using Meta-Optimal Support Vector Machines 2019
05 Shameer K Mohammed Hmm based Underwater Target Classifiers with Rayleigh Fading Compensation 2020
Sl Project Funding Agency Outlay(in Lakhs)
01 Development of algorithms for spread spectrum underwater communication systems (Co- PI) NPOL, Kochi -21 4.991
02 Design and Implementation of Multiple CDMA Communication System (Co- PI) NPOL, Kochi -21 4.996
03 Online Education Programme UGC Minor Project .25
04 Development of algorithms for Fish and DSL biomass estimation (Co- PI) Department of Ocean Development 74.11
05 Implementation of an Intelligent Identifier for Identification of Ambient Noise Sources NRB, New Delhi 12.995
06 Development of an Autonomous Buoy System for Radio- Acoustic Positioning and Tracking DIT, New Delhi 211.89
07 Tuna Resources of the Indian EEZ-An Assess-ment of Growth and Migratory Patterns Department of Ocean Development 24.25
08 Development of Miniaturised Archival Tags Ministry of Earth Sciences 99.56
09 Development of Techniques for Blind Source Separation NPOL, Kochi -21 8.5
10 HMM based target classifier with improved success rates NRB, New Delhi 43.55
11 Sonic Characterisation of Marine Species MoES, New Delhi 285
12 Algorithms for Underwater Image enhancement, Object detection and Cable tracking NRB, New Delhi 30.05
sl Title Published in Authors Year
01 A Generalized Deep Learning Model for Denoising Image Datasets International Journal of Engineering and Advanced Technology (IJEAT) Kurian Thomas, Pranav E.and Supriya M.H. 2020
02 Modular Microservice based GPU Utilization Manager with Gunicorn Journal of Science and Technology Remya A. R., Arun A. Balakrishnan, Suraj Kamal, Satheesh Chandran C. and Supriya M. H. 2020
03 Efficiency of Various Time-Frequency Representations in Deep Neural Network based Passive Sonar Target Classifiers International Journal of Innovative Technology and Exploring Engineering (IJITEE) Suraj Kamal, Satheesh Chandran C. and Supriya M.H. 2020
04 A GTCC-Based Underwater HMM Target Classifier with Fading Channel Compensation Journal of Sensors Shameer K. Mohammed, Supriya M. H. and Suraj Kamal 2018
05 Hardware Realization of canny edge detection algorithm for underwater image segmentation using Field Programmable Gate Arrays Journal of Engineering Science and Technology Alex Raj S.M., Claris Jose and Supriya M. H. 2017
06 An SVM based Underwater Target Classifier utilizing Unsupervised Neural Networks for Performance Enhancement and Novelty Detection IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) Satheesh Chandran C., Suraj Kamal, A. Mujeeb and Supriya M.H 2017
07 WOA based Selection and Parameter Optimization of SVM Kernel Function for Underwater Target Classification International Journal of Advanced Research in Computer Science Sherin B.M. and Supriya M.H, 2017
sl Title Published in Authors Year
01 A Generalized Deep Learning Model for Denoising Image Datasets International Journal of Engineering and Advanced Technology (IJEAT) Kurian Thomas, Pranav E.and Supriya M.H. 2020
02 Modular Microservice based GPU Utilization Manager with Gunicorn Journal of Science and Technology Remya A. R., Arun A. Balakrishnan, Suraj Kamal, Satheesh Chandran C. and Supriya M. H. 2020
03 Efficiency of Various Time-Frequency Representations in Deep Neural Network based Passive Sonar Target Classifiers International Journal of Innovative Technology and Exploring Engineering (IJITEE) Suraj Kamal, Satheesh Chandran C. and Supriya M.H. 2020
04 A GTCC-Based Underwater HMM Target Classifier with Fading Channel Compensation Journal of Sensors Shameer K. Mohammed, Supriya M. H. and Suraj Kamal 2018
05 Hardware Realization of canny edge detection algorithm for underwater image segmentation using Field Programmable Gate Arrays Journal of Engineering Science and Technology Alex Raj S.M., Claris Jose and Supriya M. H. 2017
06 An SVM based Underwater Target Classifier utilizing Unsupervised Neural Networks for Performance Enhancement and Novelty Detection IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) Satheesh Chandran C., Suraj Kamal, A. Mujeeb and Supriya M.H 2017
07 WOA based Selection and Parameter Optimization of SVM Kernel Function for Underwater Target Classification International Journal of Advanced Research in Computer Science Sherin B.M. and Supriya M.H, 2017

Activities

As a part of our research, we explore ocean in multiple modalities including acosutic and optics. Many exploratory surveys has been conducted in Indian Ocean during several seasons and years.

  • Passive Acoustic Surveys
  • Ocean Parametrical Surveys
  • Underwater Imaging Surveys
  • ROV Surveys
  • Action Plans