Ashwani Kumar Aggarwal
Electrical and Instrumentation Engineering
ashwani.ist AT sliet.ac.in
2009 – 2014
The University of Tokyo
Ph.D. in Computer Vision from Information and Communication Engineering department
Supervisor: Katsushi Ikeuchi
2000 – 2002
Indian Institute of Science, Bangalore
M.Tech. in Instrument Technology from Instrumentation engineering department
Supervisor: R M Vasu
1992 – 1996
College of Engineering and Technology, Bathinda
B.E. in Electronics and Instrumentation Engineering
working in SLIET since 12/12/1996
Indian Society for Technical Education (Life Member), New Delhi
Computer Society of India (Life Member), Mumbai
Institution of Engineers (Life Member), Kolkata
Indian Society of Remote Sensing (Life Member), Dehradun
Indian Academy of Neurosciences (Life Member), Lucknow
Institute of Electrical and Electronics Engineers (Member), United States
Instrument Society of India (Life Member), Bangalore
2018, Camera Position Estimation using 2D Image Dataset, IJIET, Volume 10, May 2018.
2016, 3D-Face Detection & Recognition for Video Surveillance, ACMEE-2016.
2015, International Journal of Soft Computing and Engineering, Volume-5, Issue 5.
2014, Journal of Biomedical Engineering and Medical Imaging, Vol 1, No. 4
2013, 20th ITS World Congress Tokyo, http://trid.trb.org/view.aspx?id=1322172
2012, Global COE Report, Japan, Matching of Range Data taken from Different Viewpoints.
Sponsored R&D Projects
Successfully completed MHRD sponsored R&D Project on Instrumentation and design of a frequency domain diffuse optical Tomography imager for Breast cancer detection for the year 2004-2006.
Supervision of Ph.D candidates
– Computer vision Based Thermal Image Analysis
– Genomics Data Analysis using Deep Learning
– Multi-Objective Evolutionary Algorithms for Design of Quadrature Mirror Filters
– Machine Vision Based Identification and Classification of Crop Diseases
Current Research/ Projects
– Video processing for computer vision applications.
– Classification of Solar Panels using LANDSAT Satellite Multispectral Images
IEEE- SLIET Student Branch
– Random Signals and Stochastic processes
– Nonlinear and Discrete Control Systems
– Research Methodology
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