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Dr. Sudeepa Roy Dey

Associate Professor
  • Teaching

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.

Education

  • P.HD, VTU, 2022

Experience

  • M.Tech, Amity University, 2011 - 2013

  • B.E, BPUT university, 1999 - 2003

  • P.HD, VTU, 2017(registered) - till date

  • Asst Professor, Padmanava College Of Engineering, 2004 - 2009

  • Asst Professor, IITM, New Delhi, 2010 - 2014

  • Asst Professor, PESIT, 2015 - Till Date

  • Associate Professor, PES, 2022 - Till date

Teaching

  • Machine Learning, Data mining, Artificial Intelligence

Responsibilities

  • Manage various departmental coordination's.

Research Interest

  • Social Network Analysis, Scientometerics, Machine learning

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

 Staff Contacts
 Staff Campus Location
 EC Campus

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