S.No.

Major Responsibilities

Period

1.

Co-faculty In-charge, Coding Club

August 2022 to till date

2.

Warden, Lapalang Girls Hostel II (Nongthymmai Girls Hostel),

NIT Meghalaya

July 2021 to till date

3.

Member, Local Purchase Committee of Institute, NIT Meghalaya

4.

Faculty Advisor, M.Tech

2021-2023

5.

Lab In- Charge, Digital Image Processing

Jan 2020 to till date

6.

Verifying Official (ECE) for M.Tech Admission

2021

7.

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

2021

8.

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

2022

9.

Verifying Official (ECE) for M.Tech Admission

2023

10.

Faculty Advisor, M.Tech

2022-2024

11.

Faculty Advisor, M.Tech

2023-2025

12

M.Tech Project Co-ordinator

2021-2023

13.

M.Tech Project Co-ordinator

2022-2024

14.

M.Tech Project Co-ordinator

2023-2025

15.

On-campus Business Committee

01-05-2023 to till date

16.

Verifying Official for PhD Admission

Spring 2024

S.No.

Organization

Designation

Period

1.

NIT Meghalaya

Assistant Professor

from 23/09/2019 to till date

2.

NIT Mizoram

Temporary Faculty

6 months

3.

NIT Silchar

Temporary Faculty

1 Year

S.No.

Topic of Lecture

Program

Organized by

Date

1.

Role of Machine Learning in Biomedical Image Processing

Workshop on Imaging and Optical Sensing Technologies

SRM Institute of Science & Technology, Kattankulathur

10-11-2021 to 12-11-2021

2.

i. Image Segmentation and filtering, Morphological processing

ii.    AI: Problem formulation and dataset preparation

High End Workshop on “Cultural heritage Preservation Using Machine Learning”

NIT Meghalaya

13-06-2022 to

26-06-2022

S.No.

Collaborator

Research Area

Organization

1.

Dr. Anupam Sarma

Blood Cell Analysis

Professor,

Dept. of Onco-Pathology

Dr. B. Borooah Cancer Institute

Guwahati-781016

Assam, India

Undergraduate (UG) courses:

Fiber optics Communication (EC 426)

Image Processing (EC 323)

Basic Electronics (EC 101)

Electronic Devices (EC 201)

Machine Learning and Speech Technology (EC 423)

Fundamentals of Image and video Processing (EC 473)

Digital Logic Design (EC 205)

Microprocessors and Microcontrollers (EC 206)

Post-graduate (PG) courses:

Medical Image Analysis (EC 533)

Machine Learning for Communications and Signal Processing (EC 546)

Concepts of Electronics and Communication (EC 701)

Journal: 12

Conference: 06

Book Chapter: 06

Patent: 01

Journals:

12.

Rabul Saikia, A. Sarma,  S. S. Devi, “Optimized Support Vector Machine Using Whale Optimization Algorithm for Acute Lymphoblastic Leukemia Detection from Microscopic Blood Smear Images”, SN Computer Science, Vol 5(439), https://doi.org/10.1007/s42979-024-02822-4, 2024.

11.

Jacinta Potsangbam, S. S. Devi, “Classification of Breast Cancer Histopathological Images Using Transfer Learning with DenseNet121”, Procedia Computer Science, 2024.

10.

Rabul Saikia, S. S. Devi, “White Blood Cell Classification based on Gray Level Co-occurrence Matrix with Zero Phase Component Analysis Approach”, Procedia Computer Science, vol. 218,  pp. 1977-1984, 2023.

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.

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.

7.

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.

6.

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.

5.

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.

3.

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.

2.

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. 

1.

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.

International Conferences:

6.

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.

5.

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

4.

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.

3.

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.

2.

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. 

1.

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:

6.

Monika Jasthi, Navamani Prasath, Rabul Saikia, S. S. Devi, “Random Forest Classifier-Based Acute Lymphoblastic Leukemia Detection from Microscopic Blood Smear Images”, Lecture Notes in Networks and Systems, vol 791. Springer, Singapore. https://doi.org/10.1007/978-981-99-6755-1_18, Pages 237-247, 2023.

5.

Navamani Prasath, Monika Jasthi, Rabul Saikia, Muralidaran Loganathan, S. S. Devi,  “Acute Lymphoblastic Leukemia Detection Using DenseNet Model from Microscopic Blood Smear Images”, Lecture Notes in Networks and Systems, vol 791. Springer, Singapore.  https://doi.org/10.1007/978-981-99-6755-1_20, Pages 237-247, 2023. 261-270, 2023.

4.

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.

3.

Ng. H. Singh, S. S. Devi, K. Thongam, “Modified Artificial Potential Field Approaches for Mobile Robot Navigation in Unknown Environments”, Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1057. Springer, Singapore. https://doi.org/10.1007/978-981-15-0184-5_24

2.

S. S. Devi, Ng. H. Singh, R. H. Laskar, “Performance Analysis of Various Feature Sets for Malaria-Infected Erythrocyte Detection”, Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1048. Springer, Singapore. https://doi.org/10.1007/978-981-15-0035-0_25

1.

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.

Patent

Title: A Method for Automatic Detection of Infected Erythrocytes

Patent file No. : 2021103689

Grant date: 6/29/2021

Ph.D

Roll No.

Student Name

Project Title/ Research Area

Batch/ Status

P21EC003

Rabul Saikia

Medical Image Analysis

On-going

P22EC011

Jacinta Potsangbam

Medical Image Analysis

On-going

B.Tech

B16EC004

Randolph Dohtdong

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

2016-2020

Completed

B16EC011

Eatha Viswa Teja

B18EC006

Debasmita Das

White Blood Cell Classification

2018-2022

Completed

B18EC032

Shivam Kumar

Studies on Machine Learning Based Analysis of  Covid-19 Era Effects on Students

2018-2022

Completed

B18EC035

Deepak Kumar

B19EC013

Jasthi Monika

Feature Extraction from Blood Smear Images for Leukemia Diagnosis

2019-2023

Completed

B19EC020

M Navamani Prasath

B20EC004

Aditya Vikram Somvanshi

Soil Analysis and Classification based on Machine Learning Algorithm to Track the Soil Nutrients

2020-2024

On-going

B20EC012

Bankiewshaphrang Langstieh

Summer Internship

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

Journal

S.No.

Title of the Journal

1.

International Journal of Interactive Multimedia and Artificial Intelligence

2.

Medical & Biological Eng & Computing

3.

Sadhana

4.

Multimedia Tools and Applications

Reviewer for the Conferences

S.No.

Title of 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

Technical Program Committee

S.No.

Title of the Conferences

1.

2nd International Conference on Research in Intelligent and Computing in Engineering (RICE-2017)

2.

International Conference on Data Science and Network Engineering (ICDSNE 2023)

Session Chair

S.No.

Title of the Conferences

1.

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