About:

Hello, welcome to my home page. I am an Assistant Professor in the Department of Computer Science & Engineering at Indian Institute of Information Technology, Guwahati. I joined IIITG in January, 2021. Prior to that, I completed my PhD from National Institute of Technology Silchar in Computer Science & Engineering in the year 2020.

Research Interests:

Machine Learning, Data Mining, Deep learning,Image processing.

Teaching:

At IIITG, I have taught the following courses:

  • Human Computer Intercation(CS682)
  • Artificial Intelligence (CS631)
  • Deep Learning (CS471)

Publications:

Journals
  • D. Devi, S.K. Biswas, B. Purkayastha, Correlation-based Oversampling aided Cost Sensitive Ensemble learning technique for Treatment of Class Imbalance, Journal of Experimental & Theoretical Artificial Intelligence, Taylor and Francis, vol. 34, pp.143-174, 2021.
  • D. Devi, S. Namasudra, S. Kadry, A Boosting-Aided Adaptive Cluster-Based Undersampling Approach for Treatment of Class Imbalance Problem, International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 16, pp.60-86, 2020.
  • D. Devi, S.K. Biswas, B. Purkayastha, Learning in presence of class imbalance and class overlapping by using one-class SVM and undersampling technique, Connection Science, Taylor and Francis, vol. 31, pp.105-142, 2019.
  • S. Kumar, S.K. Biswas, D. Devi, TLUSBoost algorithm: A boosting solution for class imbalance problem, Soft Computing, Springer, vol. 23, pp. 10755-10767, 2019.
  • D. Devi, S.K. Biswas, B. Purkayastha, Redundancy-driven modified Tomek-link based Undersampling: A Solution to Class Imbalance, Pattern Recognition Letter, Elsevier, vol. 93, pp. 3-12, 2017.
  • S.K. Biswas, D. Devi, M. Chakraborty, A Hybrid Case-based Reasoning Model for Classification in Internet of Things (IoT) Environment, Journal of Organizational and End-User Computing, IGI Global , vol. 30, pp. 104-122, 2017.
  • S. K. Biswas, M. Chakraborty, H. R. Singh, D. Devi, B. Purkayastha, A.K. Das, Hybrid case-based reasoning system by cost-sensitive neural network for classification, Soft Computing, Springer , vol. 21, pp. 7579-7596, 2017.
  • Conferences
    1. D. Devi, S.K. Biswas, B. Purkayastha, A Review on Solution to Class Imbalance Problem: Undersampling Approaches, ComPE-2020, NEHU, Shillong, 2020.
    2. D. Devi, S.K. Biswas, B. Purkayastha, A Cost-sensitive weighted Random Forest Technique for Credit Card Fraud Detection, IEEE-ICCCNT 2019, IIT Kharagpur, 2019.
    3. D. Devi, S.K. Biswas, B. Purkayastha, A Boosting based Adaptive Oversampling Technique for treatment of Class Imbalance, 8th IEEE International Conference on Computer Communications and Informatics, ICCCI’19, 2019.

    Dr. Debashree Devi

    Assistant Professor (CSE)

    PhD (NIT Silchar)

    Email:

    debashree@iiitg.ac.in

    Contact:

    +91-X