Dr. Sudeepa Roy Dey
Dr. Sudeepa Roy Dey
Associate Professor
Associate Professor
About
Teaching Computer science subjects for the past 10 years at various undergraduate and graduate levels. Passionate about exploring new techniques, data modeling, and algorithms. Also guided students at various levels.
About
Teaching Computer science subjects for the past 10 years at various undergraduate and graduate levels. Passionate about exploring new techniques, data modeling, and algorithms. Also guided students at various levels.
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
Teaching
- Machine Learning, Data mining, Artificial Intelligence
Responsibilities
- Manage various departmental coordination’s.
Research Interests
- 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
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
Teaching
- Machine Learning, Data mining, Artificial Intelligence
Responsibilities
- Manage various departmental coordination’s.
Research Interests
- 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 Contacts
- 8026721983
- sudeepar@pes.edu
- Computer Science
- 8026721983
- sudeepar@pes.edu
- Computer Science
- EC Campus
- EC Campus