Monidipa Das
New Website
PhD Scholar
Research Scholars' Lab
Takshashila Building, Ramanujan Complex
Department of Computer Science and Engineering
Indian Institute of Technology Kharagpur, India-721302
Email: monidipa.iitkgp@gmail.com; monidipa@sit.iitkgp.ernet.in
Resume:
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Research Areas:
* Spatial Informatics, Spatio-temporal Data Mining, Computational Intelligence, Soft Computing, Machine Learning, Time Series Prediction
Education:
Indian Institute of Technology, Kharagpur, India
Doctor of Philosophy (Ph.D.), Computer Science and Engineering,
July 2013-January
2018 [Thesis submitted: August 2017; Degree Awarded: January
2018]
Thesis Title: “Spatio-temporal Prediction: Data-driven Models with Intelligent Framework”
Advisor: Prof. Soumya K. Ghosh
Indian Institute of Engineering Science and Technology, India
Master of Engineering (M.E.), Computer Science and Technology,
June 2011-May 2013
GPA: 9.57/10
Thesis Title: “Large-Scale Optimization using Intelligent Methods”
Advisor: Prof. Jaya Sil
West Bengal University of Technology, India
[College: Academy of Technology, Hooghly]
Bachelor of Technology (B.Tech.), Computer Science and Engineering,
July 2007-May 2011
GPA: 9.24/10
Tarakeswar High School, West Bengal, India
Higher Secondary Examination (Board W.B.C.H.S.E)
May 2007
Aggregate: 84.86%
Tarakeswar Girls' High School, West Bengal, India
Secondary Examination [Madhyamik] (Board W.B.B.S.E)
May 2005
Aggregate: 89.25%
Awards/Achievements:
* Student Travel Grant for attending 25th
ACM SIGSPATIAL International Conference on Advances in Geographic Information
System, California, USA,
November 07-10, 2017
* Full Travel Grant from HLFF (Heidelberg Laureate Forum Foundation) for attending 5th Heidelberg Laureate Forum (HLF), 24-30 September, 2017, Heidelberg, Germany
* Selected as one of the 200 Young Researchers worldwide to participate in the 5th Heidelberg Laureate Forum (HLF), 24-30 September, 2017, Heidelberg, Germany
* Best Poster Award in the CODS Graduate Research Workshop (GRW), IIT Madras, Chennai, India (2017)
* Travel Grant Award for attending COMAD/CODS 2017, IIT Madras, Chennai, India (2017)
* Selected for the Award of INSPIRE Fellowship (DST) 2014-15. [Award has been forgone because of availing Institute Fellowship from IIT Kharagpur]
* 144th rank in National Eligibility Test (NET), CSIR-UGC, Engineering Sciences(JRF), June, (2013)
* University Medal for 1st rank in M.E. 2013, Computer Science and Engineering, IIEST, Shibpur [formerly Bengal Engineering and Science University (BESU), Shibpur].
* Departmental 1st rank in B. Tech, Computer Science and Engineering, in Academy of Technology (AOT), WBUT (2011)
* Institute Scholarship (MHRD, Govt. of India) 2013-2017 from IIT Kharagpur, for pursuing Ph. D.
* GATE Scholarship 2011-2013 for pursuing M.E. from IIEST, Shibpur
Publications (selected):
1. Monidipa Das and Soumya K. Ghosh, “Spatio-temporal Prediction under Scarcity of Influencing Variables: A Hybrid Probabilistic Graph-based Approach”. In Proceedings of the 9th International Conference on Advances in Pattern Recognition (ICAPR-2017), ISI Bangalore, India, December 27-30, 2017. (accepted)
2. Monidipa Das and Soumya K. Ghosh, “BESTED: An Exponentially Smoothed Spatial Bayesian Analysis Model for Spatiotemporal Prediction of Daily Precipitation. In Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL’17), Redondo Beach, CA, USA, November 7–10, 2017, https://doi.org/10.1145/3139958.3140040 (accepted) [PDF]
3. Monidipa Das and Soumya K. Ghosh, “Spatio-temporal Prediction of Meteorological Time Series Data: An Approach based on Spatial Bayesian Network (SpaBN)”. In Proceedings of the 7th International Conference on Pattern Recognition and Machine Intelligence (PReMI 2017), Springer, ISI Kolkata, India, December 05-08, 2017. (accepted)
4. Monidipa Das and Soumya K. Ghosh, “A Deep Learning based Forecasting Ensemble to Predict Missing Data for Remote Sensing Analysis”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017. (accepted) [DOI: 10.1109/JSTARS.2017.2760202]. [PDF]
5. Monidipa Das and Soumya K. Ghosh, “Data-driven Approaches for Meteorological Time Series Prediction: A Comparative Study of the State-of-the-Art Computational Intelligence Techniques”, Pattern Recognition Letters, 2017. (accepted) [DOI: 10.1016/j.patrec.2017.08.009]. [PDF]
6. Monidipa Das and Soumya K. Ghosh, "Measuring Morans'I in Cost-Efficient Manner to Describe Land-cover Change Pattern in Large-Scale Remote Sensing Imagery". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 6, pp. 2631-2639, 2017. [DOI: 10.1109/JSTARS.2017.2660766]. [PDF]
7. Monidipa Das and Soumya K. Ghosh, "semBnet: A Semantic Bayesian Network for Multivariate Prediction of Meteorological Time Series Data". Pattern Recognition Letters, vol. 93, pp. 192-201, 2017. [PDF]
8. Monidipa Das, Soumya K. Ghosh, P. Gupta, V. M. Chowdary, R. Nagaraja, V. K. Dadhwal, "FORWARD: A Model for FOrecasting Reservoir WAteR Dynamics using Spatial Bayesian Network (SpaBN) ". IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 4, pp. 842-855, 2017. [PDF]
9. Monidipa Das and Soumya K. Ghosh. "Performance Analysis for NFBN - A New Fuzzy Bayesian Network Learning Approach". In Proceedings of the 5th International Conference on Advanced Computing, Networking, and Informatics (ICANCI), NIT Goa, India, 2017. (Accepted)
10. Monidipa Das and Soumya K. Ghosh. "Spatio-temporal Autocorrelation Analysis for Regional Land-cover Change Detection from Remote Sensing Data". In Proceedings of the 4th IKDD Conference on Data Science (CoDS), ACM, 2017. [PDF]
11. Monidipa Das and Soumya K. Ghosh, "Deep-STEP: A Deep Learning Approach for Spatiotemporal Prediction of Remote Sensing Data." IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 12, pp. 1984-1988, 2016. [PDF]
12. Monidipa Das, Soumya K. Ghosh, V. M. Chowdary, A. Saikrishnaveni, and R. Sharma. "A probabilistic nonlinear model for forecasting daily water level in reservoir". Water Resources Management, vol. 30, no. 9, pp. 3107-3122, 2016. [PDF]
13. Monidipa Das and Soumya K. Ghosh. "A cost-efficient approach for measuring Moran's index of spatial autocorrelation in geostationary satellite data". In IEEE International Conference on Geoscience and Remote Sensing Symposium (IGARSS 2016). pp. 5913-5916. IEEE, 2016. [PDF]
14. Monidipa Das and Soumya K. Ghosh. "Modeling spatio-temporal change pattern using mathematical morphology". In Proceedings of the 3rd IKDD Conference on Data Science (CoDS), page 4. ACM, 2016. [PDF]
15. Monidipa Das and Soumya K. Ghosh, "Detection of Climate Zones using Multifractal Detrended Cross-Correlation Analysis: A Spatio-temporal Data Mining Approach", 8th International Conference on Advances in Pattern Recognition (ICAPR-2015), ISI, Kolkata, India, IEEE, January, 2015. [PDF]
Teaching Assistantship:
* Intelligent Systems (Spring Semester, 2017), Indian Institute of Technology, Kharagpur
Instructor: Prof. Anupam Basu
* Programming and Data Structures (Autumn Semester, 2016), Indian Institute of Technology, Kharagpur
Instructor: Prof. Soumya K. Ghosh
* Geographical Information Systems (Autumn Semester, 2015), Indian Institute of Technology, Kharagpur
Instructor: Prof. Soumya K. Ghosh
* Geographical Information Systems (Autumn Semester, 2014), Indian Institute of Technology, Kharagpur
Instructor: Prof. Soumya K. Ghosh
* Logical Programming (with Prolog) and Artificial Intelligence (Spring Semester, 2013), Indian Institute of Engineering Science and Technology, Shibpur
Instructor: Prof. Somnath Pal
* Introduction to C Programming Language (Spring Semester, 2013), Indian Institute of Engineering Science and Technology, Shibpur
Instructor: Prof. Apurba Sarkar
* Java Programming and Computer Graphics (Spring Semester, 2012), Indian Institute of Engineering Science and Technology, Shibpur
Instructor: Prof. Jaya Sil
* Introduction to C Programming Language (Autumn Semester, 2012), Indian Institute of Engineering Science and Technology, Shibpur
Instructor: Prof. Asit Kumar Das
Monidipa Das
Last updated on 19-JAN-2018