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ELECTRONICS & COMMUNICATION ENGINEERING

Head of Department

Dr. Prabir Kumar Saha
Ph.D, IIEST

E-mail:
hod.ec@nitm.ac.in

Faculty

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Dr. Salam Shuleenda Devi Assistant Professor

Ph.D, NIT Silchar

sshuleendadevi@nitm.ac.in
https://scholar.google.co.in/citations?user=xmJjK_IAAAAJ&hl=en

Research Interest

Biomedical Image Processing, Microscopic Image Analysis, Machine Learning, Pattern Recognition, Computer Vision Applications

Education Qualification

Ph.D, NIT Silchar

Work Experience


S. No
Organization
Designation
Period
1.NIT MeghalayaAssistant Professorfrom 23/09/2019 to till date
2.NIT Mizoram Temporary Faculty6 Months
3NIT SilcharTemporary Faculty1 Year


Responsibilities:

       1)     Institution Activities:

1.   Co-faculty I/C, Coding Club, Aug 2022 to till date

2.   Warden of Nongthymmai Girls Hostel, from July 2021 to till date

3.   Member, Local Purchase Committee of Institute

 

      2)     Departmental Activities:

      1.   Faculty Advisor of M.Tech 2021-2023 Batch, 2022-2024 Batch

       2.   Digital Image Processing Lab In- Charge, Jan 2020

       3.   Verifying Official (ECE) for M.Tech Admission 2021

       4.   Member, Ph.D. (PT and FT-EC) applications scrutiny committee

 

Outreach Activities:

1) Reviewer for the Journals:

1. International Journal of Interactive Multimedia and Artificial Intelligence

2. Medical & Biological Eng & Computing

3. Sadhana

2. Reviewer for the conferences

1. Second International Conference on Smart Trends for Information Technology and Computer Communications 2017.

2. 2nd International Conference on Research in Intelligent and Computing in Engineering 2017.

3.  Invited Talks

Delivered invited talk at SRM Institute of Science & Technology, Kattankulathur during 10th Nov 2021 to 12th Nov 2021 on "Role of Machine Learning in Biomedical Image Processing"

4. Technical Program Committee, 2nd International Conference on Research in Intelligent and Computing in Engineering (RICE-2017).

5. Session Chair, Special Session-1 of 1st International Conference on Research in Intelligent and Computing in Engineering (RICE 2016). 

Seminars/Conferences/Workshops Attended:

1. Participated in the “One week Workshop on Advances in Image Processing & Soft Computing Techniques” at NIT  Silchar during 20th-24th     February, 2017. 

2. Participated in the “Workshop on Speech Technology Solutions for North Eastern States of India” organized by CDAC Kolkata in association     with NIT Silchar and CDAC Silchar during 24th -25th February, 2017.   

3. Attended in the “Three Days Lecture Series in Electronics and Communication Engineering” at NIT Silchar during 12th -14th     February, 2016.

4. Attended in the “Workshop on Scholarly Publishing” organized by Wiley in collaboration with NIT Silchar during 26th March,     2015. 

5. Participated in the “Faculty Development Program on Recent Trends in Microwave and Antenna Technology” at NIT Silchar     during 18th-22nd     May, 2015. 

6. Participated in the “Two-Day Workshop on IoT (Internet of Things)” at NIT Silchar during 12th -13th October, 2015.

7. Participated in the “Two Week ISTE Main Workshop on Signals and Systems” at NIT Silchar during 2-12 January, 2014.

8. Participated in a workshop on “Implementation of Image Processing using LabVIEW” at NIT Silchar in association with National Instruments    during July, 2014.


Students Supervised/Supervising

 

B.Tech

Roll No.

Student Name

Project Title

Batch

B16EC004

Randolph Dohtdong

Graphical User Interface Based Computer- Aided Diagnosis Tool of Skin Lesion Segmentation from Non-Dermoscopic Images

2016-2020

B16EC011

Eatha Viswa Teja

B18EC006

Debasmita Das

White Blood Cell Classification

2018-2022

B18EC032

Shivam Kumar

Studies On Machine Learning Based Analysis of

Covid-19 Era Effects on Students

2018-2022

B18EC035

Deepak Kumar

B19EC013

Jasthi Monika

Feature Extraction from Blood Smear Images for Leukemia Diagnosis

2019-2023

B19EC020

M Navamani Prasath

 


Ph.D

Roll No.

Student Name

Research Area

Status

P21EC003

Rabul Saikia

Medical Image Analysis

On-going

P22EC011

Jacinta Potsangbam

Medical Image Analysis

On-going


Summer Internship Students

Roll No.

Student Name

Topic

Status

B17EC006

Serene Eden Lisam Pariat

Malaria Infected Erythrocyte Segmentation

Completed

B17EC008

Barishisha Kharmynthon

Medical Image Enhancement Techniques

Completed

B17EC019

Ujjwal Kumar

Unsupervised Cancerous Cell Segmentation

Completed

B18EC008

Nathaniel Manbha Lyngdoh

Blood Cell Segmentation for Cancer Detection

Completed

B18EC018

Matti Dondor Majaw

Preprocessing Techniques to Enhance the Medical Images

Completed

B18EC028

Bishal Doley

Tuberculosis Bacteria Detection

Based on Thresholding Techniques

Completed


Publications

Journals:

1.        

S. S. Devi, R.H. Laskar, S. A. Sheikh, “Hybrid Classifier based Life Cycle Stages Analysis for Malaria-infected Erythrocyte using Thin Blood Smear Images”, Neural Computing and Applications, Springer, vol. 29(8), pp. 217-235, 2018.

2.        

S. S. Devi, A. Roy, J. Singha, R.H. Laskar, “Malaria Infected Erythrocyte Classification based on a Hybrid Classifier using Microscopic Images of Thin Blood Smear”, Multimedia Tools and Applications, Springer, vol. 77, pp. 631-660, 2018.

3.        

S. S. Devi, J. Singha, M. Sharma, R.H. Laskar, “Erythrocyte Segmentation for Quantification in Microscopic Images of Thin Blood Smears”, Journal of Intelligent and Fuzzy Systems, IOS Press, vol. 32, no. 4, pp. 2847-2856, 2017.

4.        

A. Roy, J. Singha, S.S. Devi,  R.H. Laskar, “Impulse Noise Removal using SVM Classification based Fuzzy Filter from Grayscale Images”, Signal Processing, Elsevier, vol. 128, pp. 262-273, 2016, DOI: 10.1016/j.sigpro.2016.04.007

5.        

S. S. Devi, S. A. Sheikh,  A. Talukdar, R.H. Laskar, “Malaria Infected Erythrocyte Classification based on the Histogram Features using Microscopic Images of Thin Blood Smear”, Indian Journal of Science and Technology,  vol. 9 (45), pp.1-10, December 2016.

6.        

S. S. Devi, S. A. Sheikh, R. H. Laskar, “Erythrocyte Features for Malaria Parasite Detection in Microscopic Images of Thin Blood Smear: A Review”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 4(2), pp.35-39, December 2016. 

7.        

S. S. Devi, J. S. Roy, N. Chattoraj, “Design of a microstrip patch antenna for USB dongle”, International Journal of Conceptions on Electrical and Electronics Engineering, vol. 2(1), pp.10-14, ISSN: 2345 – 9603, April 2014

8.        

S. S. Devi, N. H. Singh, R. H. Laskar, “Fuzzy C-Means Clustering with Histogram based Cluster Selection for Skin Lesion Segmentation using Non-Dermoscopic Images”, International Journal of Interactive Multimedia & Artificial Intelligence, vol. 6, pp. 26-31, 2020.

9.        

M.Sharma, S. S. Devi, R. H. Laskar, ”Automatic Detection of Malaria Infected Erythrocytes Based on the Concavity Point Identification and Pseudo-Valley Based Thresholding”, IETE Journal of Research, doi.org/10.1080/03772063.2020.1787238, 2020.

 

 

International Conferences:

1.        

S. S. Devi, Ng. H. Singh, R. H. Laskar, “Performance Analysis of Various Feature Sets for Malaria-Infected Erythrocyte Detection”, 8thInternational Conference on Soft Computing for Problem Solving, Springer, Dec 2018.

2.        

S. S. Devi, R. H. Laskar,“Non-parametric Statistical Test based Feature Selection and Analysis of Malaria-Infected Erythrocyte in Thin Smear Images”,  IEEE INDIACom 2018, 2018.

3.        

S. S. Devi, R. H. Laskar,“Color Channel Difference Based Multilevel Thresholding for Malaria Parasite Segmentation,” IEEE INDIACom 2018, 2018.

4.        

S. S. Devi, R. Kumar, R. H. Laskar, “Recent Advances on Erythrocyte Image Segmentation for Biomedical Applications”, Fourth International Conference on Soft Computing for Problem Solving, Springer, pp. 353-359, Dec 2014.

5.        

S. S. Devi, A. Roy, M. Sharma, R. H. Laskar, “kNN Classification based Erythrocyte Separation in Microscopic Images of Thin Blood Smear”, IEEE 2nd International Conference CINE, pp.69-72, Jan 2016.

6.        

Ng. H. Singh, S. S. Devi, K. Thongam, “Modified Artificial Potential Field Approaches for Mobile Robot Navigation in Unknown Environments”, 8th International Conference on Soft Computing for Problem Solving, Springer, Dec 2018.

7.        

A. Roy, S. S. Devi, R. H. Laskar, “Impulse noise removal from gray scale images using ANN classification based Fuzzy filter”, IEEE 2nd International Conference CINE, pp. 97-101, Jan 2016.

8.        

A. Roy, S. S. Devi, R. H. Laskar, “A Review on Impulse Noise Removal from Images”, First International Conference on Research in Intelligent Computing in Engineering, pp. 178-181, April 2016. 

9.        

S. S. Devi, J. S. Roy, “Design of Patch Antenna for USB Modem”, National Conference on Advanced Trends in Computer and Information Technology, pp. 51-55, March 2013.

 

 

Book Chapter:

1.        

S.S. Devi, V. K. Solanki, R. H. Laskar, “Recent Advances on Big Data Analysis for Malaria Prediction and Various Diagnosis Methodologies”, Handbook of Data science Approaches for Biomedical Engineering,  https://doi.org/10.1016/B978-0-12-818318-2.00006-4  , Pages 153-184,  2020.


Patent

Title: A Method for Automatic Detection of Infected Erythrocytes

Patent file No. : 2021103689

Grant date: 6/29/2021