centenary countdown

Faculty details

Prof.KARTIKAY GUPTA

Designation: Assistant Professor

Department: Mathematics & Computing

Email: kartikay[at]iitism[dot]ac[dot]in

Contact Number: 3262235395

Office Number: +91-326-223-5395

Personal Page: Under Construction

About Me: Kartikay Gupta did his PhD in temporal data mining from IIT Delhi. Earlier, he completed integrated masters in mathematics and scientific computing from IIT Kanpur. His research interests include data mining, machine learning, time series analysis and their diverse applications.

Research Interest: Data Science And Machine Learning

Teaching

	Course
1	Advanced DBMS
2	Advanced DBMS Lab
3	Theory of Computation
4	Mathematics II
5	Mathematics I
6	Data Mining
7	Data Structures

Academics

Doctor of Philosophy from department of mathematics, IIT Delhi. The topic of research being machine learning, data science and time series analysis. Thesis title: Decision making using financial time series data.

Master of Science (Integrated) in Mathematics & Scientific Computing from department of mathematics & statistics, IIT Kanpur. CGPA: 8.1/10.

Position

Assistant Professor

Awards and Honors

Qualified UGC-NET in Computer Science and Application

Qualified Joint CSIR-UGC NET and JRF ( while Obtaining 21 rank ) in Mathematical Sciences

Qualified GATE exam while obtaining 73 rank in Mathematics subject

Publications

List Of Research Publications (only in Peer-reviewed Journals)

Gupta K., Chatterjee N.; “Selecting stock pairs for pairs trading while incorporating lead-lag relationship”, Physica A: Statistical Mechanics and Applications, Elsevier, Volume 551, 2020, 124103, DOI: 10.1016/j.physa.2019.124103.
Gupta K., Chatterjee N.; “Forecasting through motifs discovered by Genetic Algorithms”, IETE Technical Review, 2018, Volume 36, Issue 3, pp-253-264, DOI: 10.1080/02564602.2018.1450653
Gupta K., Aayushi K., Chatterjee N., Pradeep J., Deepak J.; “Rule based classification of Neuro-degenerative diseases using data driven gate features”, Health and Technology, Springer, August 2019, Issue-9:4, Page-547:560, DOI: 10.1007/s12553-018-0274-y
Gupta K., Chatterjee N.; “Stocks recommendation from large datasets using important company and economic indicators” Asia Pacific Financial Markets, Springer, 2021,DOI:0.1007/s10690-021-09341-9

Papers in conference abstract volumes / presented

Gupta K., Chatterjee N.; Financial Time Series clustering; in Proceedings of Information and Communication Technology for Intelligent Systems, ICTIS, Volume-2, Springer, Ahmedabad, India, March 25-26, 2017 (Scopus)

Gupta K., Aayushi K., Chatterjee N., Deepak J.; Automatic Classification of Parkinson’s disease Based on Severity Estimation, to appear in Proceedings of International Conference on Data Science, Machine Learning & Applications, ICDSMLA, Springer, Hyderabad, India, 29-30 March 2019 (Scopus)

Projects & Activities

Other Academic and Administrative Activities

Lab in Charge, Department of Mathematics and Computing , IIT ISM (Dec 2022- Present)
Time-Table in Charge, Department of Mathematics and Computing , IIT ISM (April 2024- Present)