Dr. Umadevi V,Department of CSE,B.M.S. College of Engineering, Bangalore, India
Dr. Umadevi V was born in Kolar, Karnataka, India. Obtained her B.E in Computer Science and Engineering from Bangalore University in 1998. She received M.Tech in Computer Science and Engineering with 3rd Rank from Visvesvaraya Technological University, Belguam in 2002. Her M.Tech study was supported by MHRD (Ministry of Human Resource Development) scholarship for one and half years at BMS College of Engineering, Bangalore. She completed her Ph.D program from IIT Madras, Chennai. Her PhD work was supported by HTRA (Half-time Research Assistantship) Scholarship for five years at IIT Madras.
Earlier she worked at Dayananda Sagar College of Engineering, Dr. T. Thimmaiah Institute of Technology and Kuppam Engineering College. Since September 2012, she has been with BMS College of Engineering, Bangalore in the Department of Computer Science and Engineering as Associate Professor.
In her credit, she has fifteen journal publications and fourteen international conference publications. She has presented her papers in person at Beijing and Kuala Lumpur with travel grants support from IIT Madras. She received Best Teaching Assistant Award twice from the Department of Computer Science and Engineering, IIT Madras. She has been invited as a resource person for conduction of workshop on Latex and Deep Learning to faculty members of various engineering colleges. She received a grants from TEQIP-II (BMS College of Engineering) and Amoudi Scientific Research Foundation of Majmaah University, Kingdom of Saudi Arabia to conduct research in the area of Medical Thermography.
Expert . Maitreyee Ghosh
Lead Data Scientist at Chubb
Leeds, England, United kingdom
Maitreyee Ghosh is M.Tech (Information Systems Management) graduate from University of Mysore, India.Around 10+ years of total experience with hands on expertise in Artificial Intelligence, Machine Learning, Natural Language Processing, Neural Networks, Deep Learning, Data science, Voice Processing and Computer Vision. She Hands on knowledge of Text Analytics, which is primarily focused on information extraction, information storage, search, computational linguistics, ontologies.
She designed, built and delivered multiple Natural Language and Text Mining solutions from platforms to systems for data extraction, data analysis, data pre-processing, end-to-end feature development, model training, versioning, deploying, and testing models. She is an Expert in machine learning, distributed computing and text mining applications.
