Name

Ashwani Kumar Aggarwal

Designation

Assistant Professor

Department

Electrical and Instrumentation Engineering

Educational Qualification

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

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Experience

working in SLIET since 12/12/1996

Professional Membership

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
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Publications

2016, 3D-Face Detection & Recognition for Video Surveillance, ACMEE-2016.
2015, International Journal of Soft Computing and Engineering, Volume-5, Issue 5.
2014, ITS Asia Pacific Forum, New Zealand, Identifying Reflected GPS Signals
2014, Journal of Biomedical Engineering and Medical Imaging, Vol 1, No. 4
2014, Seisan Kenkyu, vol. 66, no. 2, pp. 101-
2013, 20th ITS World Congress Tokyo, http://trid.trb.org/view.aspx?id=1322172
2013, International Workshop on Robust Computer Vision, Osaka, Japan, Geometric Modeling.
2012, 11th ITS Symposium, Aichi, Japan, Global Coordinate Adjustment of Survey Models.
2012, Global COE Report, Japan, Matching of Range Data taken from Different Viewpoints.

Research

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

Current Research/ Projects
- Video processing for computer vision applications.
- Classification of Solar Panels using LANDSAT Satellite Multispectral Images

Branch Counsellor
IEEE- SLIET Student Branch

Teaching
– Random Signals and Stochastic processes
– Nonlinear and Discrete Control Systems
– Research Methodology

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