SAHANA DAS

Accomplished academic and researcher with over 20 years of experience in computer science, specializing in machine learning, fuzzy logic, and data science applications in medical diagnosis. Recognized for extensive publications in reputable international journals and conferences, showcasing notable contributions to the field. Granted a patent in fetal cardiotocograph systems. Demonstrated expertise in teaching diverse technical subjects and successfully managing academic programs and projects.

• Received Deans’ Award for being the best student of the Faculty of Science , University of Swaziland.
• Received Vice-Chancellor’s Award for being the best student of the University, University of Swaziland.

• Project Coordinator-responsible for handling all the project related activities for the final year IT/CSE/CA students (Narula Institute of Technology)
• Departmental Time-table Coordinator (Narula Institute of Technology)
• Tech-fest Organizing Committee (Narula Institute of Technology)
• Exam cell supervisor (Narula Institute of Technology)
• Conduction of foreign language classes for MCA and BCA students (Narula Institute of Technology)
• Convener, Mentorship Program (Brainware University)
• NAAC - NBA, OBE Expert
• Convener, Academic Event Management (ECMT)
• Course Design for BCA (NEP-2020) at Swami Vivekananda University

• Applications of Pattern Recognition,
• Image processing,
• Soft Computing techniques in the field of Medical diagnosis,
• Generative AI

• PhD Dissertation topic : Development of a Neuro-fuzzy Module for Interpretation of Fetal Cardiotocograph
• Causal Interpretation of Klein-Gordon Equation - Submitted under the supervision Dr. P.N. Kaloyerou as a partial fulfillment of the requirements for the Degree of Bachelor of Science
• Design and Development of Technical University Computerization System - Project submitted as partial fulfillment of the requirements for MCA of IGNOU

• A Novel Approach for Baseline Estimation of FHR Signal
• An Ensemble Learning-Based Language Identification System

Following books of short story and poetry published 

• "Mama Njeri's Kitanga - Tales from the Heart of Africa" was published by Amazon Kindle in February 2018.
• "Journey to the Inner Light" was published by Amazon Kindle in September 2024.

• Date of Birth: 12/04/1973
• Nationality: Indian
• Marital Status: Married
• Address: C-11/201 Peerless Nagar

                      P.O.- Panihati

                      Pin - 700 114

                      West Bengal

• Deans' Award for being the best student of the Faculty of Science, University of Swaziland
• Vice-Chancellor's Award for being the best student of the University, University of Swaziland

Journal Publications

• A Machine Learning Pipeline to Classify Fetal Heart Rate Deceleration with Optimal Feature Set, Sahana Das, Sk Md Obaidullah, Mufti Mahmud, M Shamim Kaiser, Kaushik Roy, Chanchal K Saha, Kaushik Goswami, Scientific Reports, (Impact Factor: 5.51), https://doi.org/10.1038/s41598-023-27707-z, 2023, (SCI)
• Fetal Health Classification from Cardiotocograph for Both Stages of Labor - A Soft-Computing-Based Approach, Sahana Das, Himadri Mukherjee, Kaushik Roy, Chanchal K Saha, Diagnostics, (Impact Factor: 3.91), 10.3390/diagnostics13050858, 2023, (SCI)
• Ensemble Based Technique for the Assessment of Fetal Health using Cardiotocograph - A case study with standard feature reduction techniques, Sahana Das, Himadri Mukherjee, Sk Md Obaidullah, Kaushik Roy, Chanchal K Saha, Multimedia Tools and Applications, Springer, (Impact Factor : 4.53), 10.1007/s11042-020-08853-2, (SCI)
• Shortcoming of Visual Interpretation of Cardiotocography: A Comparative Study with Automated Method and Established Guideline Using Statistical Analysis, Sahana Das, Himadri Mukherjee, Kaushik Roy, Chanchal K Saha, SN Computer Science, 2020, 10.1007/s42979-020-00188-x (Scopus)
• Cardiotocograph-based labor stage classification from uterine contraction pressure during ante-partum and intra-partum period: a fuzzy theoretic approach, Sahana Das, Sk Md Obaidullah, KC Santosh, Kaushik Roy, Chanchal K Saha, Health Information Science and Systems, Springer, 8, 16, (Impact Factor: 5.4) 10.1007/s13755-020-00107-7 (SCI).
• Application of Fuzzy Membership In Writer Identification Based On Individuality of Bangla Numerals, C. Halder, S. Das, K. Roy, Journal of Intelligent Systems, 2229-7057 & E-ISSN: 2229-7065, 37 - 40,
• Establishment of Automated Technique of FHR Baseline and Variability Detection using CTG: Statistical Comparison with Expert's Analysis, Sahana Das, Kaushik Roy, Chanchal K Saha, International Journal of Information Engineering and Electronic Business (IJIEEB), 11, 1, 27 - 35, 10.5815/ijieeb.2019.01.04, (SCOPUS)
• Evaluation of Diagnostic Performance of Machine Learning Algorithms to Classify the Fetal Heart Rate Baseline from Cardiotocograph, Sahana Das, Sk Md Obaidullah, Kaushik Roy, Chanchal K Saha, International Journal of Business Analytics (IJBAN), 9, 3, 10.4018/IJBAN.292060, (SCOPUS, WOS)

International Conference

• A Novel Approach for Baseline Estimation of FHR Signal, S. Das, K. Roy, C.K Saha, International Conference on Intelligent Healthcare, 1 - 4, 2011, A Novel Approach for Extraction and Analysis of Variability of Baseline, S.Das, K. Roy, C.K Saha,
• A Novel Approach for Extraction and Analysis of Variability of Baseline S.Das, K. Roy, C.K Saha. IEEE International Conference on Recent Trends in Information Systems (ReTIS-11). ISBN: 978-1-4577-0792-6/11/©2011 IEEE. pp. 336 – 339.
• Application of FURIA in the Classification of Cardiotocograph S.Das, K. Roy, C.K Saha. IEEE International Conference on Research & Development Prospects on Engineering & Technology (ICRDPET 2013). ISBN:978-1-4673-4948-2 © 2013, IEEE. pp. 120 – 124. 1.
• Fuzzy Membership Estimation using ANN: A Case Study in CTG Analysis S.Das, K. Roy, C.K Saha. S.C. Satapathy et al. (eds.), Proc. of the 3rd Int. Conf. on Front. of Intell. Comput. (FICTA) 2014 – Vol. 1, Advances in Intelligent Systems and Computing 327, DOI: 10.1007/978-3-319-11933-5_25, ISBN: 9783319119335 •9783319119328, pp 221 – 228.
• Determination of Window Size for Baseline Estimation of Fetal Heart Rate, S.Das, K. Roy, C.K Saha, 3rd IEEE International Conference on Computer, Communication, Control and Technology, 1 - 5, 2015,
• A Novel Step towards Machine Diagnosis of Fetal Status In-utero: Calculation of Baseline Variability, S.Das, K. Roy, C.K Saha, 2015 IEEE Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), 230 - 234, 2015,
• Recurrent Neural Network Based Classification of Fetal Heart Rate using Cardiotocograph Sahana Das, Himadri Mukherjee, Md. Obaidullah Sk, KC Santosh, Kaushik Roy, Chanchal K Saha. In: Santosh K., Hegadi R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1036. Springer, Singapore, 2019.
• An Ensemble Learning-Based Language Identification System. Himadri Mukherjee, Sahana Das, Ankita Dhar, Md. Obaidullah Sk, KC Santosh, Santanu Phadikar, Kaushik Roy. Maharatna, K., Kanjilal, M. R., Konar, S. C., Nandi, S., & Das, K. (Eds.). (2020). Computational Advancement in Communication Circuits and Systems. Lecture Notes in Electrical Engineering. doi:10.1007/978-981-13-8687-9
• Machine Learning Based Decision Support System for Automatic Identification of Chronic Kidney Disease at the Onset, Sahana Das, Himadri Mukherjee, Chanchal K Saha, Kaushik Roy, International Conference on Emerging Technologies for Sustainable Development - ICETSD '19,
• A Deep Learning Based Visible Knife Detection System To Aid In Women Security. Himadri Mukherjee, Sahana Das, Ankita Dhar, KC Santosh, Santanu Phadikar, Kaushik Roy. Accepted and presented at 3rd International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R, 2020).
• Periodic Change Detection in Fetal Heart Rate Using Cardiotocograph, Sahana Das, Himadri Mukherjee, KC Santosh, Chanchal K Saha, Kaushik Roy, 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), 104 - 109, 2020,
• Deep Neural Network for Pneumonia Detection Using Chest X-rays, Himadri Mukherjee, B Das, Sahana Das, Ankita Dhar, Sk. Mohammad Obaidullah, KC Santosh, S Phadikar, K Roy, Deep Neural Network for Pneumonia Detection Using Chest X-Rays, 1376, 78 - 87, 2019,
• Comparative Study of Segment-based and Segment-free Approach for COVID19 Detection, Asifuzzaman Laskar, Mridul Ghosh, Sahana Das, Sk. Mohammad Obaidullah, Chandan Chakraborty, Teresa Goncalves, Kaushik Roy, Fifth International Conference on Computational Intelligence in Communications, and Business Analytics (CICBA-2023), 332-342,
• Towards Automated Screening via Two-Stage Deep Learning: A Pipeline for Classification and Localization of Bleeding from Wireless Capsule Endoscopy Visuals, Sabyasachi Majumdar, Sayan Nyogi, Tapashri Sur, Sahana Das, 3rd International Conference on Advanced Computing and Applications,

Book Chapter

• A Linear Time Series Analysis of Fetal Heart Rate to Detect the Variability: Measures Using Cardiotocography, Sahana Das, Kaushik Roy, Chanchal Kumar Saha, Recent Developments in Intelligent Communication Application, IGI Global, 2017, A study on Extreme Learning Machine and its applications, Himadri Mukherjee., Sahana Das, Subhasmita Ghosh, Sk. Md. Obaidullah, Nibaran Das, Santosh K.C., & Kaushik Roy, Artificial Intelligence for Document Image Analysis, Document Processing using Machine Learning, CRC Press, Taylor & Francis Group, 2019,
• A deep learning-based approach for detecting diabetic retinopathy in retina images, Sahana Das, Asifuzzaman Lasker, Mridul Ghosh, Sk Md Obaidullah, Kaushik Roy, Internet of Things Based Machine Learning in Healthcare Technology and Applications, CRC Press Focus Series,

Patent

A SYSTEM AND A METHOD FOR AN AUTOMATIC FETAL CARDIOTOCOGRAPH (Granted)

Application No.202331025646 Patent No. 547017

Date of Grant: 02/08/2024

Inventors: Sahana Das, Kaushik Roy, Chanchal Kumar Saha, Sk Md. Obaidullah

• Prof. Kaushik Roy, Head, Dept. Of Computer Science, West Bengal State University, Mallikapur, Berunanpukuria, Barasat, Kolkata - 700126, kaushik.mrg@gmail.com
• Dr. Santanu Phadikar, Dept. of Computer Science & Engineering, MAKAUT, sphadikar@wbut.ac.in
• Dr. Md. Obaidullah Sk, Associate Professor, HOD, Dept. of Computer Science & Engineering, Aliah University, Kolkata - 700160, sk.obaidullah@gmail.com

Artificial Intelligence

Software Engineering, 

Computer Graphics, 

Computer Networks,

Design and Analysis of Algorithm, 

Formal Language and Automata, 

Cryptography and Network Security 

Machine Learning,

Fuzzy Logic/ Neural Network, 

Data Science

Python 

C/ C++

Painting, 

listening to music, 

reading classical literature, 

writing poetry and short stories.