Ph.D.: National Institute of Technology, Arunachal Pradesh, January 2026
PG: CSE, Indian Institute of Engineering Science and Technology, Shibpur, 2017
UG: Maulana Abul Kalam Azad University of Technology, 2015
Teaching Experience: 06 years 02 months
Research Experience: 03 years 01 months
Industry Experience: 06 months
Contact Number:
BVRITN Employee ID: BVRIT01034
JNTUH Registration ID: 3403-220223-142100
AICTE Registration ID: 1-11275181108
Ratified by JNTUH: Yes
SCOPUS ID: https://www.scopus.com/authid/detail.uri?authorId=58264924900
ORCID ID: https://orcid.org/0000-0003-2015-7251
Vidwan ID: https://vidwan.inflibnet.ac.in/profile/271078
Web of Science (WOS) ID:
- Deep Learning
- Bioinformatics
- Python
- Machine Learning,
- Data Structure &Algorithm,
- Operating System
- Wipro Certified Faculty (WCF) in Java Full Stack, TalentNext.
- Certified in “Introduction to the Internet of Things and Embedded Systems” for Data Science authorized by University of California, Irvine and offered through Coursera.
- Certified in “Machine Learning Introduction for Everyone’ authorized by IBM and offered through Coursera.
- Certified in “Python for Data Science, AI & Development’ an online course authorized by IBM and offered through Coursera.
- GATE Score: 507 (2015)
- NPTEL Certification:
- Deep Learning
SCIE:
- Das, S., Goswami, R.S. ARU-Net: a U-Net variant with attention and residual blocks for automated MRI brain tumor segmentation. Pattern Anal Applic 29, 27 (2026). https://doi.org/10.1007/s10044-026-01609-y [SCIE]
- Surajit Das, Rajat Subhra Goswami, “Review, Limitations, and future prospects of neural network approaches for brain tumor classification” Journal: Multimedia Tools and Applications, 2023 https://doi.org/10.1007/s11042-023-17215-7 [Indexed: SCIE, Impact Factor: 3.6, SJR: 0.72, Q1 Journal]
- Prasenjit Chatterjee, Abhijit Saha, Bijoy Krishna Debnath, Annapurani K Panaiyappan, Surajit Das, Gogineni Anusha, “Generalized Dombi-based probabilistic hesitant fuzzy consensus reaching model for supplier selection under healthcare supply chain framework”. Journal: Engineering Applications of Artificial Intelligence (2024), https://doi.org/10.1016/j.engappai.2024.10 7966, [Indexed: SCIE, Impact Factor: 8, SJR: 1.73, Q1].
Scopus Journal:
- Surajit Das, Rajat Subhra Goswami, Addressing challenges in accurate brain tumor classification in MRI: a transfer learning approach with EfficientNetB3 and comprehensive model evaluation. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-20366-w [Indexed: SCIE, Impact Factor: 3.6, SJR: 0.72, Q1 Journal]
- Surajit Das, Rajat Subhra Goswami “Advancements in brain tumor analysis: a comprehensive review of machine learning, hybrid deep learning, and transfer learning approaches for MRI-based classification and segmentation. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-20203-0 [ Impact Factor: 3.6, SJR: 0.72, Q1 Journal]
- Chandana Narasimha Rao, Matta Sujatha, Surajit Das, “A consensus-based fermatean fuzzy marcos approach for adoption of iot barriers for smart cities waste management”. Journal: Decision Making: Applications in Management and Engineering (DMAME),2024, Accepted, [Indexed: SCOPUS, SJR: 1.58].
- Ryakala Deepika, Surajit Das, Niladri Sekhar Dey, Lavanya G, Mohammed Raashed Hussain, Jeshwanth Panuganti “Comprehensive Analysis of Text Summarization Techniques for Legal documents” Grenze International Journal of Engineering & Technology (GIJET) 10, no. 1 (2024).
Patent
- Indian Patent, id- 202341088828, “A deep learning based automated cybersecurity system and method thereof” January 19, 2024
- Surajit Das, L. G, S. J. Prakash, N. S. Dey, J. Panuganti and R. Poojitha, “Lung Cancer Detection and Classification using Transfer Learning with Pre-trained VGG19 Convolutional Neural Networks,” 2023 3rd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET), Patna, India, 2023, pp. 1-6, doi: 1109/ICEFEET59656.2023.10452195.
- Das, N. S. Dey and M. Mounika, “Automated Brain Tumor Segmentation in MRI : An Enhanced Mask Generation Approach,” 2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal, IEEE Xplore, 2023, pp. 891-897, doi: 10.1109/I-SMAC58438.2023.10290265
- Surajit Das and Prakash, Sangem Jaya and Goswami, Rajat Subhra and G, Lavanya and Sasmal, Binoy, “Efficient Net-B6 model-based Transfer Learning For The Classification of Brain Tumors” (June 10, 2023). Available at SSRN: https://ssrn.com/abstract=4607794 or http://dx.doi.org/10.2139/ssrn.4607794
- Surajit Das, Santosh Vishwakarma, S Ashish Rao, N Darshini Reddy Das, “Quantum Machine Learning Algorithms for Big Data Analytics in Cyber Security”. In: Patil, M., Vyawahare, V., Birajdar, G. (eds) Intelligent Computing and Big Data Analytics. ICICBDA 2024. Communications in Computer and Information Science, vol 2234. Springer, Cham. https://doi.org/10.1007/978-3-031-74682-6_10
- Chatterjee, S. Das and S. Siddiqui, “Masking of Colposcopy Images- A New Approach,” 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE), Shivamogga, India, 2024, pp. 1-6, doi: 10.1109/AMATHE61652.2024.10582189.
- Tulsiani, K. Nayak, P. Premjit Lakra, A. Kumar and S. Das, “Privacy Preserving Scheme for EV Charging Station Using Machine Learning based Intrusion Detection System,” 2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI), Coimbatore, India, 2024, pp. 545-552, doi: 10.1109/ICoICI62503.2024.10696403.
- Das, P. Chatterjee, A. Harini, P. K. Hamsika, and S. H. Reddy, “Semi-Automated Brain Tumor Segmentation Using Thresholding and Morphological Processing with Real-Time OpenCV GUI Control,” in Proc. IEEE International Conference. Accepted and presented.
- Das, M. Amarendhar Reddy, S. Gadde, and M. V. K. Reddy, “Semantic Parsing for Natural Language to SQL Transformation Using Generative AI, ”in Proc. IEEE International Conference, Accepted and presented.
- Sravya, S. Das, K. Anjali, G. V. Priya, and S. Gajula, “A Hybrid Deep Learning Approach for Sign Language Recognition Using MobileNetV2 and Attention Mechanism,” in Proc. IEEE International Conference. Accepted and presented.
- Das, M. A. Reddy, S. S. Prodduturi, Y. G. Priya, S. B. Sai, and N. Siri, “DARU-Net: A Deep Attention Residual U-Net with Boundary-Aware Loss for Brain Tumor Segmentation,”
in Proc. IEEE International Conference. Accepted and presented.
- P. Lakra, T. K. Saha, B. L. Prajapati, S. Das, S. S. Prodduturi, and Y. G. Priya, “Attention- Enhanced ResNet152V2 for Multi-Class Sugarcane Disease Detection Using Transfer Learning,” in Proc. IEEE International Conference, Accepted and presented.
- Successfully completed “Intro to ML, DL and Computer Vision” by AI club from Indian Institute of Technology Madras.
- Successfully completed “One Week Online Short-Term Course on Machine Learning and its Applications in IoT, Computer Vision and Cloud Computing (MICC-2023)” during July 10th-14th, 2023 organized by Department of Computer Science & Engineering, NIT Jamshedpur.
- Successfully completed “Industry assisted online faculty development program” On EMERGING TECHNOLOGIES & REAL-WORLD APPLICATIONS conducted by PALS and industry experts from 22nd November to 24th November 2023.
- Participated in one week online international workshop on “Machine learning and Computer vision: Applications, Research challenges (MLCV-2020)” from NIT Shilchor.
- Participated in 10days workshop on “Big Data Analytics and Management” of the Dept. of CSE in Indian Institute of Engineering Science and Technology, Shibpur.
- Participated in a One Week Online Faculty Development Program on “Emerging Trends in Artificial Intelligence “Organized by Bhimavaram Institute of Engineering & Technology and Blackbuck Engineers Pvt Ltd from 25-31 May, 2022.
- Participated on One Week Faculty Development Program on “Mathematical Modeling for Data Science” Organized by VNR Vignana Jyothi Institute of Engineering and Technology.
- Participated in online international workshop on International Webinar on “Cyber physical Digital Microfluidic Biochips in Healthcare Technologies and Applications” During August 10-12, 2021from Indian Institute of Engineering Science and Technology, Shibpur.
- Participated in National Level One Week Faculty Development Program on “Recent Trends in Data Science for Engineering” organized by Department of Information Technology, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana in association.