Faculty
Landline No. : 66449191
Extension No. : 9416
ROOM NO 308, BHASKARACHARYA BUILDING, DEPARTMENT OF IT K J SOMAIYA School of Engineering, VIDYVIHAR(EAST)
Mon-Fri:10.00am to 5.00pm
(To update profile)
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Dr Nandana Prabhu, Associate Professor, Department of Information technology, in K J Somaiya School of Engineering, Somaiya Vidyavihar University has academic experience of 30+ years. Her areas of interest include image processing, Machine learning and GIS. She has publications in esteemed journals, conferences and reviewed papers in various conferences and journals. She has mentored many students at both undergraduate and postgraduate levels. |
She has held various responsibilities, such as Head of department, IQAC Coordinator, Academic board member of college. Her dedication to excellence has earned her accolades. Educational Achievement Awards , Somaiya Trust, 2014, Longest Student Branch Counsellor, CSI, India 2015, Distinguished Associate Professor, Technext India, CSI chapter, Region VI, Jan2017. She has also demonstrated leadership in organizing seminars, workshops, and STTPs, served as the Secretary for a National Conference organised by college in 2009 and Jt. Coordinator for International Conference on technologies in Energy, Agriculture and Healthcare 2025. She is currently working as IQAC coordinator of KJSSE, member IQAC_SVU and Secretary , WDC_SVU Distinguished Associate Professor, Technext India, CSI chapter, Region VI, jan2017 . She is a Life Member of ISTE and IETE.
M.E.(Electronics),Mumbai University,2000
Ph.D,Mumbai University,2022
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Curriculum Design and Evaluation”, NAAC Sponsored National Conference organized by internal Quality Assurance Cell K J Somaiya College of Science and Commerce, Jan 12-13,2018
Data Analytics with R programming” AICTE_ISTE approved at SIES Graduate school of technology , Nerul, Navi Mumbai from July 01-15,2017
Digital Image Processing” NPTEL online certification Course by IIT Kharagpur. Certificate earned on Nov 23,2016.
introduction to Video and Audio Processing” online course by Northwestern University on Coursera. Certificate earned on May24,2016
one week 2016 IEEE Computational intelligence Society Winter school ‘Emerging Trends in Computational intelligence : Theory and Applications, Mar 1-5, 2016
Python for Data Science, MPTEL,IIT Madras, Aug-Sept 2019
Fundamentals of Quantitative Modeling , Wharton University, May 2020
Artificial intelligence for Everyone , deeplearning.ai, June 2020
Excel skills for Business Essentials ,Macquarie University, July 2020
Data Science for Engineers, NPTEL IIT Madras, Mar 2021
Exploring and Producing Data for Business Decision Making,Illinois University, Coursera, Aug 2021
Basic Data Descriptors:: Statistical Distributions, and Application to Business Decisions, Rice university, Coursera, Aug 2021
Data-Driven Decisions with Power BI, Knowledge accelerators, july 2022
ArcGis : Learn Deep learning in ArcGIS to advance GIS skills, Udemy, Dec2022
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