sshuleendadevi@nitm.ac.in
9774442307
https://nitmeghalaya.irins.org/profile/101595
S.No. |
Major Responsibilities |
Period |
1. |
Vice President Technical, Student Activity Center |
9th July
2024 to till date |
2. |
Co-faculty In-charge, Coding Club |
August 2022 to July 2024 |
3. |
Warden, Lapalang Girls Hostel II (Nongthymmai Girls
Hostel), NIT Meghalaya |
July 2021 to till date |
4. |
Member, Local Purchase Committee of Institute, NIT
Meghalaya |
|
5. |
Faculty Advisor, M.Tech |
2021-2023 |
6. |
Lab In- Charge, Digital Image Processing |
Jan 2020 to till date |
7. |
Verifying Official (ECE) for M.Tech Admission |
2021 |
8. |
Member, Ph.D. (PT and FT-EC) applications scrutiny
committee |
2021 |
9. |
Member, Ph.D. (PT and FT-EC) applications scrutiny
committee |
2022 |
10. |
Verifying Official (ECE) for M.Tech Admission |
2023 |
11. |
Faculty Advisor, M.Tech |
2022-2024 |
12 |
Faculty Advisor, M.Tech |
2023-2025 |
13. |
M.Tech Project Co-ordinator |
2021-2023 |
14. |
M.Tech Project Co-ordinator |
2022-2024 |
15. |
M.Tech Project Co-ordinator |
2023-2025 |
16. |
On-campus Business Committee |
01-05-2023 to till
date |
17. |
Verifying Official for PhD Admission |
Spring 2024 |
18. |
Member, Ph.D (PT and FT-EC) applications scrutiny
committee (Visvesvaraya Scheme) |
Autumn 2024 |
19. |
Member, Institute Human Ethics Committee |
7th August
2024 to till date |
20. |
Institute Magazine Committee |
23rd August
2024 to till date |
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 |
Lectures Delivered
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) |
Publications
Journal: 13 Conference: 09 Book Chapter: 06 Patent: 01 |
|
Journals: |
|
13. |
R
Saikia, R Deka, A Sarma, S. S. Devi, “BSNEU-net: Block Feature Map
Distortion and Switchable Normalization-Based Enhanced Union-net for Acute
Leukemia Detection on Heterogeneous Dataset”, Journal of Imaging Informatics
in Medicine. https://doi.org/10.1007/s10278-024-01252-1, 2024.
|
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: |
|
9. |
R
Saikia, R Deka, A Sarma, S. S. Devi,"Hyperparameter Tuning of Fine-Tuned
VGG19 Using Sine Cosine Algorithm for Acute Lymphoblastic Leukemia
Detection", 2nd International Conference on Data Science and Network
Engineering (ICDSNE), 2024. |
8. |
R
Saikia, A Sarma, KM Singh, S. S. Devi, “VCaps-Net: Fine-Tuned VGG16
with Capsule Network for Acute Lymphoblastic Leukemia Detection on a Diverse
Dataset”, 6th International Conference on Energy, Power and Environment (ICEPE), 2024. |
7. |
K
Nongbri, A Malngiang, S. S. Devi, N Maisnam, KM Singh, “Noise
Reduction Technique in ECG Signal”, 6th International Conference on Energy,
Power and Environment (ICEPE),
2024. |
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 |
Students Supervised/Supervising
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 |
|
P24EC008 |
Ramkhun Gangmei |
Image
Processing |
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 Deep Learning Algorithms |
2020-2024 Completed |
|
B20EC012 |
Bankiewshaphrang
Langstieh |
|||
B20EC031 |
Yash Yadav |
Document Alteration Analysis using Deep
Learning |
2020-2024 Completed |
|
B20EC023 |
Nikhilesh Thakur |
|||
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 |
|
Outreach Activities
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 |
3. |
International
Conference on Data Science and Network Engineering (ICDSNE 2024) |
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) |
3. |
International
Conference on Data Science and Network Engineering (ICDSNE 2024) |
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). |