Dr. Sherry Garg

Educational Qualifications

• PhD (CSE), Jaypee Institute of Information Technology, Noida2018-2024
• M.E.(Software Systems) 2009-2011 BITS Pilani
• B.Tech(CSE) 2004-2008

Other Qualifications

• Having GATE SCORE CARD in year 2009 94.50 percentile. 

Biography

Beginning with the corporate world, Dr Sherry Garg started off working with Yahoo! Bangalore and worked with Yahoo calendar Team. Thereafter, she joined CISCO Systems Pvt India Ltd , Enterprise Data Management Team. Her keen interest in academics after some industry experience led her to join JIIT Noida. She is currently associated with Data Structures and Algorithms subjects. Her research interest includes Deep Learning and Data Analytics.

Work Experience

• Assistant Professor (Senior Grade), Jaypee Institute of Information Technology, Noida (U.P.) from Jun 2024 - Present
• Assistant Professor (Grade II), Jaypee Institute of Information Technology, Noida (U.P.) from Aug 2016 - Jun 2024
• IT Engineer II, CISCO Systems Pvt Ind Ltd, Bangalore, from Jul 2011 to Aug 2015
• Intern, Yahoo! Bangalore from Jan 2011 to Jun 2011

Interest Area(s)

• Algorithms, Deep Learning and Data Analytics

Publications

Citations: https://scholar.google.com/citations?user=kgbKqwUAAAAJ&hl=en

International Journals

• Garg S. and Krishnamurthi R. , “Transfer learning: A cross domain LSTM way towards sustainable power predictive analytics,” Multimedia Tools and Applications, pp. 1-27, Nov. 2023. doi:https://doi.org/10.1007/s11042-023-17635-5               ... [SCIE, SCOPUS[IF=3.6, H-Index=93]
• Garg S. and Krishnamurthi R. , “A survey of long short term memory and its associated models in sustainable wind energy predictive analytics,” Artificial Intelligence Review, Jul. 2023. doi:https://doi.org/10.1007/s10462-023-10554-9               ... [SCI, SCIE, SCOPUS[IF=12.0, H-Index=101]
• Garg S. and Krishnamurthi R. , “A CNN encoder decoder LSTM model for sustainable wind power predictive analytics,” Sustainable Computing: Informatics and Systems, vol. 38, p. 100869, Apr. 2023. doi:https://doi.org/10.1016/j.suscom.2023.100869              ... [SCIE, SCOPUS[IF=4.923, H-Index=31]
• Garg S. and Krishnamurthi R. , “Powernet: A novel method for wind power predictive analytics using Powernet deep learning model,” Journal of Renewable and Sustainable Energy, vol. 14, no. 4, p. 043301, Jul. 2022. doi:https://doi.org/10.1063/5.0090126                                                               

Book Chapter

• Garg S. and Krishnamurthi R. , “Smart Health Analytics for Sustainable Energy Monitoring Using IoT Data Analytics,” Chapman and Hall/CRC eBooks, pp. 107–121, May 2022. doi: https://doi.org/10.1201/9781003046431-8

International Conferences

• Wadhwa, Ankita, Sherry Garg, and Manish Kumar Thakur (2023, August). Automatic detection of DBSCAN parameters using BAT algorithm. 15^th International Conference of Contemporary Computing (IC3), Noida, 2023. [SCOPUS](pp. 530-536).
• Singh, Divya, Lakshay Kumar, Somya Jain, and Sherry Garg. "Analyzing Diffusion Process in Signed Networks.",1st International Conference on Informatics (ICI), pp. 148-152. IEEE, 2022.

Conferences/ Workshops Attended/ FDP

• NETSIM Workshop, 03-05 APR 2023
• FDP on Blockchain Technology and Its Applications (BTA’22), 25-30 Jul 2022
• 2022 13th International Conference on Contemporary Computing (IC3),    04th-06th Aug 2022
• E-Content Development for blended learning workshop, 22-24 Feb 2022
• ICI-2022 (2022 First International Conference on Informatics), 14-16 Apr 2022
• FDP Data Analysis using Statistical Tools, 13-18 September, 2021.
• 2021 13th International Conference on Contemporary Computing (IC3),    5th-7th Aug 2021
• FDP on Green IoT for Sustainable Development,13th – 17th Jun 2022