sshuleendadevi@nitm.ac.in
9774442307
https://nitmeghalaya.irins.org/profile/101595
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 |
1) Reviewer for the Journals:
1. International Journal of Interactive Multimedia and Artificial Intelligence 2. Medical & Biological Eng & Computing 3. Sadhana 4. MTAP |
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
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 |
|
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 |
4. Technical Program Committee
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) |
5. Session Chair
1. Special Session-1 of 1st International Conference on Research in Intelligent and Computing in Engineering (RICE 2016). |
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.
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 |
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. |
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.
|
International Conferences: |
|
1. |
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. |
2. |
S. S. Devi, R.
H. Laskar,“Color Channel Difference Based Multilevel Thresholding for Malaria
Parasite Segmentation,” IEEE INDIACom 2018, 2018. |
3. |
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. |
4. |
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. |
5. |
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. |
6. |
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. |
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. |
2. |
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. |
3. |
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. |
4. |
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 |
5. |
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 |
6. |
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 |