Sandhya Aneja is working as Assistant Professor in System Engineering at Faculty of Integrated Technologies, Universiti Brunei Darussalam (UBD). She joined Universiti Brunei Darussalam in April, 2016. She completed her Masters in Technology (M.Tech.) from IIT Delhi, India in 2002 and Ph.D from University of Delhi, India in 2011. During her Masters, she worked on developing “Parallel algorithm for Non-linear Systems” for Super Computer PARAM 2000 developed by IIT Delhi. Her Ph.D. work is in securing routing protocols of Ad-Hoc Networks. Prior to Universiti Brunei Darussalm, she worked in Institute of Informatics and Communication (IIC), Delhi University, India. She has around 11 years of experience of teaching and guiding for research projects to under graduate and post graduate students at Delhi University, India. Currently, she is guiding three Ph.D. students on design of routing protocols and their security issues for Delay Tolerant Networks and Cognitive Radio Ad-hoc Networks. Two of her students have finished their publication work and are in process of writing PhD thesis. She has published around 30 papers on security issues of wireless networks. Her publications include, 12 Journal papers, 6 SCI indexed, and 19 Scopus indexed. Her Google-scholar H-index is 8 and has 166 citations. She also worked at UBD-IBM Centre of the Universiti Brunei Darussalam during 2013-2015. During her work span at the Centre, she worked on two research projects. First project was Flood Forecasting system for Blue Gene/P (BGP) Super Computer, and second was, Community and Grid Friendly Smart Homes (CGFH). During projects, she was involved in development and deployment of model at BG/P as well as equipment, software developed for CGFH. She has 5 publications from these two projects in area of High Performance Computing and Smart Homes. She has experience of working on software NS2, DTN One, DTN two and parallel computing technologies like OpenMP, MPI. Her primary areas of interest include Security of Wireless Networks, IoTs, High performance computing and Big Data Analytics.
Wireless Networks; Parallel Computing; Big Data Analytics;IoT