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Home/ Staff A–Z/ Dr. Sudeepa Roy Dey
Sudeepa Roy Dey
Teaching

Dr. Sudeepa Roy Dey

Associate Professor

Computer Science EC Campus sudeepar@pes.edu +91 80 6618 6610
1
Research Areas
5
Publications
1
Courses Taught
1
Qualifications
7
Roles Held
0
Achievements

About

Dedicated researcher and machine learning (ML) enthusiast with 15 years of experience in research, teaching, and mentoring in Artificial Intelligence (AI), Machine Learning, Data Mining, and Social Network Analysis. Proven track record of publishing in prestigious, high-impact journals. Skilled in developing innovative ML models and applying them to novel domains, with a strong focus on data visualization, predictive analytics, and statistical modeling.

Key Achievements

Publication Metrics:
Total Citations: 951 (788 since 2020)
h-index: 6 (5 since 2020)
i10-index: 5 (4 since 2020)
Core Expertise:
Machine Learning algorithm development and optimization.
Statistical modeling and predictive analytics.
Data preprocessing, visualization, and presentation.
Building classifiers and predictors for diverse applications.
Highly motivated to advance the field of AI through impactful research and practical applications.

Research Areas

1
Research Interest
  • Social Network Analysis, Scientometerics, Machine learning

Publications

5
Conferences
  • A. R. Yarlapati, S. Roy Dey and S. Saha, "Early Prediction of LBW Cases via Minimum Error Rate Classifier: A Statistical Machine Learning Approach," 2017 IEEE International Conference on Smart Computing (SMARTCOMP), 2017, pp. 1-6, doi: 10.1109/SMARTCOMP.2017.7947002.
  • R, Reddy, Snehanshu Saha, S. Roy Dey, V. Raychoudhury; Recruitment Boosted Epidemiological Model for Qualitative Study of Scholastic Influence Network; SIAM Conference on Mathematics of Data Science, May 2020, Cincinnati, USA.
Journals
  • Genealogy Tree: Understanding Academic Lineage of Authors via Algorithmic and Visual Analysis, Journal of Scientometric Research,2018,7,2,120-124. DOI:10.5530/jscires.7.2.18
  • Recruitment Boosted Epidemiological Model for Qualitative Study of Scholastic Influence Network, Journal of Scientometric Research,2021,10,1,110-118. DOI:10.5530/jscires.10.1.13
  • Predicting the direction of stock market prices using tree-based classifiers, The North American Journal of Economics and Finance, https://doi.org/10.1016/j.najef.2018.06.013

Teaching

1
Machine Learning, Data mining, Artificial Intelligence

Education

1
  • P.HD
    VTU
    2022

Experience

7
  • Associate Professor
    PES
    2022 – Till date
  • P.HD
    VTU
    2017(registered) – till date
  • Asst Professor
    PESIT
    2015 – Till Date
  • M.Tech
    Amity University
    2011 – 2013
  • Asst Professor
    IITM, New Delhi
    2010 – 2014
  • Asst Professor
    Padmanava College Of Engineering
    2004 – 2009
  • B.E
    BPUT university
    1999 – 2003

Responsibilities

1
  • Manage various departmental coordination's.

Campus

EC Campus