Dr. Sowmya M R
Assistant Professor
Department : Statistics and Computer Science
Educational Qualifications : M.Sc. Computer Science, B.Ed., NET, Ph.D
Specialization :Machine Learning
Area of Interest : Predictive Data Analytics
Phone : +91 9895991546
ORC Id :
0000-0001-7866-8164
Courses Attented - Refresher/Orientation
1.
Online Refresher Course in Data Analytics and Machine Learning, 2021-02-23 to 2021-03-08, HRDC, University of Kerala, UGC, Participant, Refresher
2.
Refresher Course in Computer Science and Information Technology, 2018-02-07 to 2018-02-27, HRDC, University of Kerala, UGC, Participant, Refresher
3.
Orientation Programme, 2016-06-15 to 2016-07-12, HRDC, University of Calicut, UGC, Participant, Orientation
Courses Attented - Seminars / Workshops
1.
Five Day workshop for Board of Studies/Expert Committee in connection with the Syllabus preparation of FYUGP, 2023-11-13 to 2023-11-17, MG University, Participant
2.
International Workshop on “Recent Advances in AI Research-Deep Learning and Explainable AI”, 2023-04-24 to 2023-04-28, Department of Computer Applications, CUSAT and IEEE Computer Society . Kerala Chapter, Participant
3.
International FDP: "Advanced Research and Quality Publications", 2022-08-29 to 2022-09-02, FISAT, Participant
4.
Fifth International conference on “ Vedic Mathematics”, 2022-08-11 to 2022-08-13, IAVM and Sree Sankara College, Kalady, Participant
5.
International Conference on "Artificial Intelligence: Theory & Applications (AITA-2021)" , 2021-12-23 to 2021-12-24, NIT Patna, Bihar, Presenter
6.
National FDP : "Statistics for Data Analytics", 2021-08-03 to 2021-08-07, Rajagiri College of Social Sciences, Kalamassery, Participant
7.
One week FDP: "The Art of Faming Questions", 2021-06-07 to 2021-06-12, IQAC, Sree Sankara College, Kalady, UGC-MHRD-STRIDE, Participant
8.
International Conference on "Advanced computing and communication Technologies for High Performance Applications (ACCTHPA)", 2020-07-02 to 2020-07-04, Department of Computer Science, FISAT, Angamaly., IEEE, Presenter
9.
One week FDP: “Data Science”, 2020-01-27 to 2020-01-31, Division of IT, School of Engineering and Department of Computer Applications, CUSAT, AICTE Training and Learning Academy , Participant
10.
One week FDP: “Block Chain” , 2019-10-21 to 2019-10-25, Division of IT, School of Engineering, CUSAT, AICTE Training and Learning Academy , Participant
Academic / Research Journal:
1.
An automated machine learning methodology for the improved prediction of reference evapotranspiration using minimal input parameters, Hydrological Processes, 36, 5, 0885-6087, 1099-1085, Wiley, https://doi.org/10.1002/hyp.14571,
3.784,Yes, (Santosh Kumar M B, Sooraj K Ambat, Kannan Balakrishnan and Manoj M G ), 2022-2023
2.
A deep neural network architecture to model reference evapotranspiration using a single input meteorological parameter, Environmental Processes, 8, 4, 2198-7491 , 2198-7505 , Springer, https://doi.org/10.1007/s40710-021-00543-x,
4.4,Yes, (Santosh Kumar M B and Sooraj K Ambat), 2021-2022
Proceeding of seminar/workshop etc
1.
Biological Engineering Research and Review, A Stacked Bi-directional Long Short Term Memory Framework for the Single and Multi-Step Ahead Hourly Time Series Forecasting of Reference Evapotranspiration, Biological Engineering Research and Review, 8, SB Publications, (Santosh Kumar M B and Sooraj K. Ambat), 2021-2022
2.
Advanced computing and communication Technologies for High Performance Applications (ACCTHPA), Comparison of deep neural networks for reference evapotranspiration prediction using minimal meteorological data, Advanced computing and communication Technologies for High Performance Applications (ACCTHPA), IEEE, (Santosh Kumar M B and Sooraj K. Ambat), 2020-2021
Resource Person / Lectures
1.
International Conference on Statistics and Data Science(ICSDS-2024), Navigating the Data Science Landscape: From Foundations to Practical Tools, Post Graduate Department of Statistics, Sree Sankara College, Kalady , 2024-01-22, 2023-2024
2.
Syllabus restucturing workshop , Restructuring the syllabi of the Under Graduate Programmes on the basis of Outcome Based Teaching Learning and Evaluation method, Department of Sanskrit Sahitya, SSUS Kalady, 2019-10-01, 2019-2020
Programmes Organised
1.
International, International Conference on Statistics and Data Science (ICSDS-2024), 2024-01-22, 2024-01-24, SERB, Post Graduate Department of Statistics, Sree Sankara College, Kalady and Kerela Statistical Association, 2023-2024
2.
State, Workshop on "Data Visualization and Story Telling using Power BI", 2023-09-16, SMART, IQAC, Sree Sankara College, Kalady, Post Graduate Department of Statistics, Sree Sankara College, Kalady, 2023-2024
3.
State, WEBSTAT- Five Day Webinar Series on Data Science with MATLAB, PYTHON AND R, 2022-01-03, 2022-01-07, SMART, IQAC, Sree Sankara College, Kalady, Post Graduate Department of Statistics, Sree Sankara College, Kalady, 2021-2022
Endowments
1.
Indian Patent , Title: AN AUTOMATED IRRIGATION SYSTEM BASED ON CROP WATER REQUIREMENT (AISCR) AND ITS METHOD THEREOF", Patentee: Ms. Sowmya M R and Dr. Santosh Kumar M B, Government of India, 2022-2023
Paper/Poster Presentations
1.
A Stacked Bi-directional Long Short Term Memory Framework for the Single and Multi-Step Ahead Hourly Time Series Forecasting of Reference Evapotranspiration, NIT. Patna, Bihar, Inter National, Time: 16:00, 2021-12-24
2.
Comparison of deep neural networks for reference evapotranspiration prediction using minimal meteorological data, Federal Institute of Science and Technology, Angamaly, Kerala, Inter National, Time: 14:00, 2020-07-02
Teacher Involvement in Academic / Administrative Bodies
1.
Board of Studies member of UG Computer Applications , 2021-06-08 to 2024-03-31
2.
Board of Studies member of PG Computer Applications, 2018-06-01 to 2021-03-31
3.
Board of Studies member of UG Cyber Forensics, 2018-06-01 to 2021-03-31