Departments

The Department offers two courses- B. Tech in Electronics and Communication Engineering . We had excellent infrastructure, dedicated, experienced and qualified faculty members.

B. Tech Degree in Electronics and Communication Engineering

Seats: 30 

Duration: 4 Years (8 Semesters)

Year of Establishment: 2000

B. Tech Degree in Electronics and Communication Engineering offers basic Engineering techniques and new opportunities in VLSI, Embedded Systems and Signal Processing research areas. The course structure covers Analog transmission, Basic electronics, Solid state devices, Microprocessors, Diigital and Anlog communicattiion, Analog Integrted Circuits,Stellite communication, Microwave Engineering, Antnna and Wave Propagation. The elective subjects emphasis on advanced topics and new applications.

B. Tech Degree in Electronics Engineering (VLSI Design & Technology) 

Seats:  60   

Duration: 4 Years (8 Semesters)

Year of Establishment: 2023

B. Tech Degree in Electronics Engineering (VLSI Design & Technology) is a four-year engineering course in which the qualified students will be provided adequate skills and knowledge and training on technical and digital domains. The scope of VLSI design and Technology includes various stages, such as design entry, simulation, synthesis, physical design, and verification. As the complexity of VLSI chips continues to increase, the demand for skilled engineers with expertise in VLSI design and verification is expected to grow in the future.

D Voc in Artificial Intelligence & Robotics

Seats: 30

Duration: 3 Years (6 Semesters)

Year of establishment: 2023

 D Voc in Artificial Intelligence & Robotics is a Diploma in Vocation (D Voc) Programme which has been approved by the Government of Kerala. Admissions to these NSQF aligned Programmes are regulated on the basis of merit as assessed by giving weightage to the marks/grades obtained in the qualifying examination and professional experience of the applicants. These AICTE-approved courses provide students with practical skills that are essential for success in the workplace. By offering D-Voc programmes, the Kerala government is providing students with an opportunity to develop practical skills that are relevant to the industry. These programmes not only help students build a strong foundation for their careers but also contribute to the growth of the state’s economy.

Doctoral Programs

The department is approved as a research centre under KTU. Four Research scholars are currently doing research in the area of Medical Image Processing and Machine Learning. A funded research project of Rs. 16 lakhs funded by Kerala State Council for Science Technology and Environment (KSCSTE) in collaboration with Regional Cancer Centre, Trivandrum is presently in progress.

Curriculum_for_S1_and_S2_KTU Modified

Curriculum for S3 to S8

RESEARCH PROGRAMMES

College of Engineering Karunagappally is a Research Centre under KTU. Facilities for research work leading to PhD degree are available in the departments of Electronics & Communication Engineering. Currently there is more thrust on inter disciplinary research activities. Sponsored research projects investigated by the faculty and supported by various government and research organizations have helped the Institute in procuring state of the art instruments and equipment necessary for carrying out high quality research.  Opportunities exist for candidates to do full-time as well as part-time research in the college with registration under Kerala technological University. Now four research scholars are pursuing PhD under the guidance of Dr. Gopakumar C.

Ongoing Research Project proceeded by research scholars under Dept. of ECE.

Research Scholar : Remya R. S.

Funding agency : KSCSTE, Kerala.

Total fund : Rs. 16 lakhs

1. Title of the Research project : Development of a Fully Automated Indigenous Software for Efficient Karyotyping for Chromosome Abnormality Detection

2. Specific branch of Engineering: Medical Image Processing

3. Project Summary:

Chromosome image analysis is crucial for the diagnosis and prognosis of many of the genetic disorders and cancers. The first and foremost objective of this work is to develop a Fully Automated Low Cost Indigenous Software for Karyotyping for the detection of Structural and Numerical Abnormalities from the Chromosome Images (Metaphase Images). The system can be used to detect the abnormalities and thereby the diseases, which help in diagnosis, prognosis, treatment evaluation procedures and in follow-up treatment. In current scenario, with 5 the software manual intervention is needed which suffers from operator fatigue, processing delay and this may not be accurate all the time for all the cases. Even today, efficient fully automated system for Karyotyping is not available. Medical Institution like Regional Cancer Center Thiruvananthapuram, Kerala uses the very expensive non indigenous software for the same but the system does not have desirable efficiency. Furthermore, there is no automated method for abnormality detection of chromosome abnormalities from karyotype. This recent and challenging research issue will be focused by the Proposed System.

Other Research works undergone by Research Scholars under Dept. of ECE:

GASTRO INTESTINAL IMAGE ANALYSIS FROM ENDOSCOPIC VISION

Name of Research scholars: Ms. Geetha S.

Endoscopy is a procedure in which the gastro-intestinal tract (GI tract) is viewed on a colour monitor using a lighted, flexible tube with a camera at the end (endoscope).The camera is connected to either an eyepiece for direct viewing or a video screen that displays the images on a colour TV. There are many diseases and conditions that can affect the gastrointestinal system, including ulcers, inflamed mucous lining of the intestine, abnormal growths and bleeding in the colon, or large bowel, cancer.

Computer Aided Assistance is required in

For 3D surface reconstruction

For salient feature motion tracking or instrument detection

For general abnormality detection and tissue classification

For item specific pathology identification

According to GLOBOCAN 2012 Colon plus rectum cancer is third in importance in terms of new cases (945,000 cases, 492,000 deaths) reported. Polyps are the precursor of colon cancer. Polyps can be knobby or flat and some polyps tend to be benign while some polyps are at higher risk for cancer

General abnormality detection, tissue classification and polyp detection through image analysis is the challenge .Automation of these processes is highly effective in screening process. Research on gastrointestinal image analysis centres around the study of effects of moments in texture analysis , the effects of linear and polynomial kernels in feature extraction, the effects of nonlinear dimensionality reduction methods so as to extract the best texture features for the detection and classification of tissues and polyps to normal and abnormal .

IMAGE ANALYSIS TECHNIQUES IN CYTOLOGY IMAGES FOR CANCER SCREENING

Name of Research scholars: Ms. Sabeena K.

Cytology Images is commonly used to investigate diseases involving a wide range of body sites, for screening and diagnosis of cancer, and also in the diagnosis of some infectious diseases . For example, a common application is the Pap smear, a screening tool used to detect precancerous cervical lesions which may lead to cervical cancer.Cytopathologic tests are called smear tests because the samples may be smeared across a glass microscope slide for subsequent staining and microscopic examination. However, cytology samples may be prepared in other ways, including cytocentrifugation. Different types of smear tests may also be used for cancer diagnosis

Computer Aided Assistance is required in :

For debris removal in Cytology Images

For segmentation and classification of Cells

For abnormality detection in samples

Objective

Automatic Cancer detection through cytology image analysis is the challenge.

To study the effects of different filters in cytology images

To study the different feature extraction methods in cytology images

To study the effects of shallow learning classifiers and deep learning for the detection of abnormalities

DIGITAL IMAGE ANALYSIS FOR EARLY DETECTION OF LUNG CANCER

Name of Research scholars: Ms. Chinnu Jacob

Lung cancer is the disease of abnormal cells multiplying and growing into a nodule inside a lung.It is the second most commonly diagnosed cancer and is a major cause of high mortality rate around the world. The probability of developing Lung cancer is estimated to be 8% in males and 6% in females. Accounts for an estimated 1.3 million deaths each year. Lung cancer has a five-year survival rate of 17.7% which increases to 54.4% when it is diagnosed at early stages..

Lung tissue abnormalities are called lung nodules. They are small and roughly spherical mass of tissue about 1 mm to 30 mm in size . If diameter is greater than 3cm it is called pulmonary mass. The presence of small pulmonary nodule can indicate that the cancer is at an early stage. Discriminating malignant nodules from benign modules varies from radiologist to radiologist. The location of nodules vary considerably, can be inside lungs or along boundary.Detection of lung nodule is a complicated task due to their dissimilar intensities,size and shape in lung anatomy,so computer aided diagnosis can be helpful to the doctors to identify the cancerous cells accurately.

Objective

• To incorporate robust and reliable technique in computer aided diagnosis system for both early detection of cancerous lesions and further classification of lesions as malignant and benign.

• To classify different stages of lung cancer like stage I,II,III& IV .

• Reducing the number of false positives.and increasing the algorithm sensitivity.

Methodology

• To use publicaly available databases like Lung Image Database consortium[LIDC], Early Lung Cancer Action Program [ELCAP],Automatic Nodule Detection[ANODE09].

• Prepocess the image .

• Lung and Nodule segmentation

• Feature Extraction

• Classification into malignant and benign nodules of different size and shape.

Electronics and Communication Department has well equipped lab facilities. Following are the list of major equipments in the department

List of Major Equipments in Digital Electronics Laboratory

List of Major Equipments in Microprocessor Laboratory

List of Major Equipments in Embedded Systems Laboratory

List of Major Equipments in Communication Laboratory

List of Major Equipments in Electronic Circuits Laboratory

List of Major Equipments in Project Laboratory

List of Major Equipments in B.Tech Signal Processing Laboratory

List of Major Equipments in M.Tech (DSP) Laboratory

List of Major Equipments in M.Tech Signal Processing Project Laboratory

The Department of Electronics and Communication is extremely honoring the students who have contributed the success throughout the years….. Our Rank Holders….!!!!

 RANK DETAILS

M.Tech Signal Processing -CUSAT

INTERNATIONAL CONFERENCE ORGANIZED

Title : International Conference on Computing,

Communication & Signal Processing (ICCCSP-2016)

Venue : The Quilon Beach Hotel, Kollam

Date : 8-9 July

Organizing Secretary : Dr. Gopakumar C.

Papers Received : 208

Papers Accepted : 71

Publishers of Proceedings : Mc Graw Hill Education.

RESEARCH COLLOQUIUM ORGANIZED

Title    : A Voyage from Shallow to Deep in Machine Learning: Prospective and Challenges in Research

Venue : College of Engineering Karunagappally

Date   : 31^st Dec 2019 to 1^st Jan 2020

Coordinator  : Dr.Gopakumar C.

Number of participants  : 45

Workshops/Faculty Training Programs Organized

Sponsored Project / Research