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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 |
|
Journal: 15 Conference: 10 Book Chapter: 06 |
|
| Journals: | |
| 15. | R Saikia, R Deka, A Sarma, NH Singh, MA Khan, SS Devi, “VNLU-Net: Visual Network with Lightweight Union-net for Acute Myeloid Leukemia Detection on Heterogeneous Dataset”, Biomedical Signal Processing and Control, Vol. 107, 2025. |
| 14. | Jacinta Potsangbam, SS Devi, “EMViT‐BCC: Enhanced Mobile Vision Transformer for Breast Cancer Classification”, International Journal of Imaging Systems and Technology, Vol. 35(2), 2025. |
| 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, Vol. 38(3), 2025. |
| 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: | |
| 10. | J. Potsangbam, H. Kumar, SS Devi, “Ensemble Classifier for Real-Time Breast Cancer Classification on Histopathology Images”, 3rd International Conference on Data Science and Network Engineering (ICDSNE), 2025 (Accepted). |
| 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. |
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 |
Thesis Submitted |
|
|
P22EC011 |
Jacinta Potsangbam |
Medical Image Analysis |
On-going |
|
|
M.Tech |
||||
|
T24EC011 |
Saumy Datt |
Mammogram Imaging |
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 |
|||
|
B21EC033 |
Harsh Parashar |
Soil Classification using Machine Learning Models |
2021-2025 Completed |
|
|
B21EC034 |
Koninika Tarafdar |
|||
|
B21EC015 |
Mutyala kalyani |
Deep Learning Model for Breast Cancer Detection |
2021-2025 Completed |
|
|
B21EC036 |
Harsh Kumar |
|||
|
B22EC018 |
Kilaparthi Uday Shankar |
Computer-aided system for skin cancer detection |
On-going 2022-2025 |
|
|
B22EC003 |
Tribid Mazumder |
|||
|
B22EC012 |
Ryan Mebankerlang Khyriem |
Computer-aided detection of breast cancer on mammograms Imaging |
On-going 2022-2025 |
|
|
B22EC041 |
Rimple kumari |
|||
|
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 |
|
|
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 |
|
|
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) |
|
4. |
International Conference on Data Science and Network Engineering (ICDSNE 2025) |
|
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). |
|
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 28 Dec 2024 |
|
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 |
01st May 2023- 06th May 2025 |
|
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 |