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Department of Information Technology

Dr. Sujit Kumar Das

Assistant Professor
  • s.das@asu.ac.in
  • +91-8486******

Specialization : Computer Vision and Medical Imaging
Qualification :B.Tech, M.Tech, Ph.D. (NIT Silchar)
Area of Research : Artificial Intelligence, Machine Learning, Deep Learning

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Book(Edited) (2)

1. Parag Bhuyan, Pranav Kumar Singh, Sujit Kumar Das, Crop Health Monitoring through AI-based Crop Leaf Disease Detection Systems. Computer Vision Techniques for Agricultural Advancements, IGI Global [2024]

2. Sujit Kumar Das, Pinki Roy, and Arnab Kumar Mishra, Deep Learning Techniques Dealing with Diabetes Mellitus: A Comprehensive Study. Health Informatics: A Computational Perspec tive in Healthcare [2021]

Conference (12)

1. Priya Bhowmick, K Revanth, Parlapalli Lakshmi, Sujit Kumar Das, Tina Babu, Attention Based CNN to Improve Identification of Ischaemia and Infection in DFU. International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS), Bangalore . 10.1109/ICCAMS60113.2023.10525795 [2023]

2. Abhishek Kumar, Pinki Roy, Arnab Kumar Mishra, and Sujit Kumar Das, Artificial Intelligence in Radiological Covid19 Detection: A State of the Art Review. 2nd International Conference on Big Data, Machine Learning and Applications, National Institute of Technology, Silchar, India [2021]

3. Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay, and Sujit Kumar Das, ADASemSeg: An Active Learning Based Data Adaptation Strategy for Improving Cross Dataset Breast Tumor Segmentation. 3rd International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, National Institute of Technology, Raipur, India [2021]

4. Deepali Jain, Arnab Kumar Mishra, and Sujit Kumar Das, Machine Learning-Based Automatic Prediction of Parkinson’s Disease Using Speech Features. Proceedings of International Conference on Artificial Intelligence and Applications. Springer, Singapore [2021]

5. Sujit Kumar Das, Pinki Roy, and Arnab Kumar Mishra, “Pre-Trained EfficientNet-B0 with adjusted Optimizer, Learning rate and Image size to Improve Diabetic Foot Ulcers Diagnosis. International Conference on Emerging Electronics and Automation, National Institute of Technol ogy, Silchar, India [2021]

6. Sujit Kumar Das, Pinki Roy, and Arnab Kumar Mishra, Analysis of Synthetic Data Generation Techniques in Diabetes Prediction. 2nd International Conference on Big Data, Machine Learning and Applications, National Institute of Technology, Silchar, India [2021]

7. Sourish Dhar, Sudipta Roy, and Sujit Kumar Das, A Critical Survey of Mathematical Search Engines. International Conference on Computational Intelligence, Communications, and Business Analytics [2018]

8. Sujit Kumar Das, A. Mishra, and Pinki Roy, Automatic Diabetes Prediction Using Tree Based Ensemble Learners. Proceedings of International Conference on Computational Intelligence and IoT (ICCIIoT), National Institute of Technology, Agartala [2018]

9. Sujit Kumar Das, Dhar Sourish, Entity Recognition in the Bengali Language. International Symposium Advanced Computing and Communication ISSAC (IEEE), Silchar, Assam [2015]

Journal(Research) (17)

1. Sujit Kumar Das, Nageswara Rao Moparthi, Suyel Namasudra, RubÊn GonzÃĄlez Crespo, David Taniar, A Smart Healthcare System Using Consumer Electronics and Federated Learning to Automatically Diagnose Diabetic Foot Ulcers. The International Journal of Interactive Multimedia and Artificial Intelligence Vol. 9  2  ISBN: 1989-1660  Pageno: 5-17 . 10.9781/ijimai.2024.10.04 https://www.ijimai.org/journal/bibcite/reference/3502 [2025]

2. Sujit Kumar Das, Suyel Namasudra, Arun Kumar Sangaiah, HCNNet: hybrid convolution neural network for automatic identification of ischaemia in diabetic foot ulcer wounds. Multimedia Systems Vol. 30  1  ISBN: 0942-4962  Pageno: 36 . 10.1007/s00530-023-01241-4 https://link.springer.com/article/10.1007/s00530-023-01241-4 [2024]

3. Sujit Kumar Das, S. Namasudra, A. Kumar, N. R. Moparthi, AESPNet: Attention Enhanced Stacked Parallel Network to improve automatic Diabetic Foot Ulcer identification. Image and Vision Computing Vol. 138  ISBN: 1872-8138  Pageno: 104809 . 10.1016/j.imavis.2023.104809 https://www.sciencedirect.com/science/article/abs/pii/S026288562300183X?via%3Dihub [2024]

4. P. Bhuyan, P.K. Singh, Sujit Kumar Das, A. Kalla, SE_SPNet: Rice Leaf Disease Prediction using Stacked Parallel Convolutional Neural Network with Squeeze-and- Excitation. Expert Systems Vol. 40  7  ISBN: 1468-0394  Pageno: e13304 . 10.1111/exsy.13304 https://onlinelibrary.wiley.com/doi/10.1111/exsy.13304 [2023]

5. P. Bhuyan, P.K. Singh, Sujit Kumar Das, Res4net-CBAM: a deep cnn with convolution block attention module for tea leaf disease diagnosis. Multimedia Tools and Applications Vol. 83  ISBN: 1573-7721  Pageno: 48925–48947 . 10.1007/s11042-023-17472-6 https://link.springer.com/article/10.1007/s11042-023-17472-6 [2023]

6. A.K. Mishra, P. Roy, S. Bandyopadhyay, and Sujit Kumar Das, Achieving Highly Efficient Breast Ultrasound Tumor Classification with Deep Convolutional Neural Networks. International Journal of Information Technology Vol. 14  ISBN: 2511-2112  Pageno: 3311–3320 . 10.1007/s41870-022-00901-4 https://link.springer.com/article/10.1007/s41870-022-00901-4 [2022]

7. A.K. Mishra, P. Roy, S. Bandyopadhyay, and Sujit Kumar Das, Feature fusion based machine learning pipeline to improve breast cancer prediction. Multimedia Tools and Applications Vol. 81  26  ISBN: 1573-7721  Pageno: 37627-37655 . 10.1007/s11042-022-13498-4 https://link.springer.com/article/10.1007/s11042-022-13498-4 [2022]

8. A.K. Mishra, P. Roy, S. Bandyopadhyay, and Sujit Kumar Das, A Multi-Task Learning Based Approach for Efficient Breast Cancer Detection and Classification. Expert Systems Vol. 39  9  ISBN: 1468-0394  Pageno: e12713 . 10.1111/exsy.13047 https://onlinelibrary.wiley.com/doi/10.1111/exsy.13047 [2022]

9. Sujit Kumar Das, P.Roy, A.K. Mishra, Fusion of Handcrafted and Deep CNN Features for Effective Identification of Diabetic Foot Ulcer. Concurrency and Computation Practice and Experience Vol. 34  5  ISBN: 1532-0634  Pageno: e6690 . 10.1002/cpe.6690 https://onlinelibrary.wiley.com/doi/10.1002/cpe.6690 [2022]

10. Sujit Kumar Das, P.Roy, A.K. Mishra, DFU_SPNet: A stacked parallel convolution layers based CNN to improve Diabetic Foot Ulcer classification. ICT Express Vol. 8  2  ISBN: 2405-9595  Pageno: 271- 275 . 10.1016/j.icte.2021.08.02 https://www.sciencedirect.com/science/article/pii/S2405959521001120?via%3Dihub [2022]

11. A.K. Mishra, P. Roy, S. Bandyopadhyay, and Sujit Kumar Das, CR-SSL: A Closely Related Self Supervised Learning Based Approach for Improving Breast Ultrasound Tumor Segmentation. International Journal of Imaging systems and Technology Vol. 32  4  ISBN: 1098-1098  Pageno: 1209-1220 . 10.1002/ima.22693 https://onlinelibrary.wiley.com/doi/10.1002/ima.22693 [2021]

12. A.K. Mishra, P. Roy, S. Bandyopadhyay, and Sujit Kumar Das, Breast ultrasound tumour classification: A Machine Learning—Radiomics based approach. Expert Systems Vol. 38  7  ISBN: 1468-0394  Pageno: e12713 . 10.1111/exsy.12713 https://onlinelibrary.wiley.com/doi/10.1111/exsy.12713 [2021]

13. Sujit Kumar Das, P.Roy, A.K. Mishra, Oversample-Select-Tune: A Machine Learning Pipeline for Improving Diabetes Identification. Concurrency and Computation Practice and Experience Vol. 34  5  ISBN: 1532-0634  Pageno: e6741 . 10.1002/cpe.6741 https://onlinelibrary.wiley.com/doi/10.1002/cpe.6741 [2021]

14. Sujit Kumar Das, P.Roy, A.K. Mishra, Recognition of ischaemia and infection in diabetic foot ulcer: a deep convolutional neural network based approach. International Journal of Imaging systems and Technology Vol. 32  1  ISBN: 1098-1098  Pageno: 192- 208 . 10.1002/ima.22598 https://onlinelibrary.wiley.com/doi/epdf/10.1002/ima.22598 [2021]

15. A. K. Mishra*, Sujit Kumar Das*, P. Roy, S. Bandyopadhyay, Identifying COVID19 From Chest CT Images: A Deep Convolutional Neural Networks Based Approach. Journal of Healthcare Engineering Vol. 2020  NA  ISBN: 2040-2309  Pageno: 1-7 . 10.1155/2020/8843664 https://onlinelibrary.wiley.com/doi/10.1155/2020/8843664 [2020]

Journal(Review) (1)

1. Sujit Kumar Das et. al, Diabetic Foot Ulcer Identification: A Review. Diagnostics Vol. 13  12  ISBN: 2075-4418  Pageno: 1998 . 10.3390/diagnostics13121998 https://www.mdpi.com/2075-4418/13/12/1998 [2023]

After joining ASU:

1. One-week FDP organized by ASU and IIT Kharagpur from 9th June - 13th June, 2025.

2. One Day Training on Gender Equity and Social Inclusion (GESI), organized by Assam Skill University Project on 27th June, 2025.

3. One-week Exposure Visit organized by ASU for Industry Collaboration to Pune and Mumbai.

4. Workshop on PoS Tagset for North East Indian Languages organized by Centre for Research and Development in Digital Enablement of Local Languages (CRD-DELL), 30th May 2025.

5. Two-week Refresher Course on "Indian Knowledge System (IKS) and Bio-Cultural Dimension of Public Health" organized by UGC Malaviya Mission Teacher Training Centre (MMTTC), Manipur University, Imphal, from 25th September - 14th October 2025.

6.  Participated in 6 Days online ATAL PDF on Real-World AI & ML: From Concept to Development in Industry 4.0 and 5.0 organized by Assam Skill University from 02 Nov 2025 to 07 Nov 2025.

Before joining ASU:

1. Attended Short-Term Course on “Fundamentals of Quantum Computing” conducted by Depart ment of CSE, NIT, Rourkela, January 15-19, 2024.

2. Participated in a One-week AICTE sponsored Faculty Development Programme on “Recent Ad vances in NLP using Deep Learning(NLP-DL-2021)”, organized by the department of CSE, NIT Silchar, March 8- March 12, 2021.

3. Participated in One week International Faculty Development Programme on “Machine Learning and Computer Vision: Applications, Research Challenges (MLCV 2020)”, jointly organized by the Department of CSE, NIT Silchar, and GUIST Guwahati at NIT Silchar, Aug 24- Aug 28, 2020.

4. Participated and Volunteered in a five-day workshop on “Deep Learning Techniques & Tools: An Academic & Industrial Approach” organized by the Department of Computer Science and Engineering, NIT Silchar-2019.

5. Participated in a five-day Workshop on “Recent Research Trends and Future Perspective of Ma chine Learning in Academics & Industry”, organized at the Department of CSE, NIT Silchar, Oct 1- Oct 5, 2018.

6. Participated in a Five days workshop on “Soft Computing Paradigm and Machine Intelligence Techniques” organized by Machine Intelligence Unit(MIU), ISI, Kolkata, and Department of CSE & IT, School of Technology, Assam Don Bosco University, Guwahati, 2017.

After joining ASU:

1. Joined as an Editorial Board Member of BMC Artificial Intelligence (part of Springer Nature) Journal.

2. External Examiner to evaluate B.Tech CSE 8th Semester final project under Faculty of Computer Technology, Assam Down Town University.

3. Program Coordinator for Industry Talk on "Introduction to Data Science & Emerging Industry Trends" held on 12th July 2025 at Assam Skill University.

4. External Member on the Research Advisory Board (RAB) of PhD Scholar in the Faculty of Computer Technology, Assam Down Town University, Assam.

Before joining ASU:

1. 3rd Ranked in the DFUC2021 challenge organized by MICCAI with Manchester Metropolitan
University, UK

2. Young Researcher Award 2022, Institute of Scholars, India.

3. UGC NET (Assistant Professor), 2019 in Computer Science and Applications.

4. GATE (CS & IT), 2013.

After joining ASU:

1. Delivered a Talk on "From Campus to Career: Lessons Learned Beyond the Classroom” as part of the B.Tech Induction Program 2025, Department of Computer Science and Engineering, Assam University Silchar, 8th September, 2025.

Before joining ASU:

1. 2 days Hands-On workshop on ``Machine Learning Workshop'', Jointly organized by Coding Club, Assam Engineering College, Guwahati & FOSS-Assam on 15-16 October 2017.

2. Five-day Online FDP on ``Application of AI, Machine learning and Deep Learning in Engineering Fields", organized by Vellore Institute Technology, Chennai campus, & on 14-18 Oct, 2024.

After joining ASU:

1. Departmental Prospectus preparation for session 2025-2026, Department of Information Technology, Assam Skill University.

2. Designed syllabus and handled a One-month Internship (June 2025) in Machine Learning, organized by the Department of Information Technology, Assam Skill University.

3. Handled counselling cum admission of B.Tech CSE for the session 2025-2026, Department of Information Technology, Assam Skill University.

4. Subject Teaching (Session Aug-Dec 2025):

             (i) Introduction to Computer Programming (ESD102), 1st Semester, Diploma in Electric Vehicle.

             (ii) IDEA Lab workshop (MNC-AU-01), 1st Semester, B.Tech in CSE (AIML and CS).

Before joining ASU:

1. Faculty Advisor for the session 2023-2024, at Siksha 'O' Anusandhan (Deemed to be) University, Bhubaneswar, Odisha.

2. Faculty Co-ordinator for the session July-Dec, 2022 of ACM Student Chapter, Bennett University, Greater Noida, UP.

No Projects Found!

1. Title of the Invention :A Multi-Task Learning Based System For Breast Cancer Detection and Classification and a Method Thereof

Name of the Applicant: Arnab Kumar Mishra, Pinki Roy, Sujit Kumar Das
Application Number: 202303302
Filing Date:
Year: 2023
Status: Granted
Country: South Africa

2. Title of the Invention :A Novel Stacked Parallel Convolution Layers System with an Attention Module for classifying the Diabetic Foot Ulcer and Normal Skin images

Name of the Applicant: Sujit Kumar Das
Application Number: 20 2022 102 75
Filing Date:
Year: 2022
Status: Granted
Country: German