Keynote

 

soma-biswas

Dr. Soma Biswas
Indian Institute of Science (IISc.)
Bengaluru, India

Cross-Modal Matching

Abstract: Due to increase in the number of sources of data, research in cross-modal matching is becoming an increasingly important area of research. It has several applications like matching text with image, matching near infra-red images with visible images for night-time or low-light surveillance, matching sketch images with pictures for forensic applications, etc. This is an extremely challenging task due to significant differences between data from different modalities. In this talk, I will discuss about the different challenges of this problem and also some of the approaches we are working on for addressing this. 

Bio: Dr. Soma Biswas is an Associate Professor in the Electrical Engineering department in IISc. She received her PhD degree in Electrical and Computer Engineering from University of Maryland, College Park, in 2009. Then she worked as a Research Assistant Professor at University of Notre Dame and as a Research Scientist at GE Research before joining IISc. Her research interests include image processing, computer vision, and pattern recognition. She is a Senior member of IEEE and has received several awards like IEEE Shri Pralhad Chhabria “Best Professional Women Engineer” Award in 2018 and Google India AI/ML Research Award in 2020.

______________________________________________________________________________________________________________

Face+3Dname

Prof. Patrick Bours
Norwegian University of Science and Technology (NTNU), Norway

Applied Behavioural Biometrics

Abstract: Behavioural biometrics is a form of biometrics that is connected to unique ways of performing specific tasks. The main advantages of behavioural biometrics are that it can be captured unobtrusively and continuously. These advantages make it possible to use behavioural biometrics in a different manner than physiological biometrics. In this presentation we will show how we can use a specific form of behavioural biometrics (called keystroke dynamics) to protect a computer from session hacking. Keystroke dynamics is a behavioural biometric where we use the typing rhythm on a keyboard to determine or confirm the identity of a user. We will briefly show two interesting real life applications where the techniques can be applied.

Bio: Patrick Bours is a Professor at the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU) in Norway. Patrick received a PhD in Mathematics from the Eindhoven University of Technology in the Netherlands and worked for 10 years at the Netherlands National Communication Security Agency (NLNCSA) in the area of cryptology. He moved in 2005 to Norway and started working on biometrics and has specialized in behavioural biometrics, in particular gait recognition and keystroke dynamics. He has published over 120 papers in various conferences, journals, and books and has an h- index of 29.

______________________________________________________________________________________________________________

Asokan

Prof. Dr. S. Asokan
MSIL Chair Professor & Chairman
Department of Instrumentation and Applied Physics
Indian Institute of Science (IISc.)
Bengaluru, India

Fiber Bragg Grating Sensors- Some Recent Applications

Abstract: Fiber Bragg grating has embraced the area of fiber optics since the early days of its discovery, and most fiber optic sensor systems today make use of fiber Bragg grating technology. Researchers have gained enormous attention in the field of fiber Bragg grating (FBG)-based sensing due to its inherent advantages, such as small size, fast response, distributed sensing, and immunity to the electromagnetic field. Fiber Bragg grating technology is popularly used in measurements of various physical parameters, such as pressure, temperature, and strain for civil engineering, industrial engineering, military, maritime, and aerospace applications. We will be focusing some of the applications related to fiber Bragg Grating sensor in the recent times.
 
Bio: Sundararajan Asokan obtained his M.Sc in Materials Science from Anna University, Madras and Ph.D in Physics from Indian Institute of Science (IISc), Bangalore. He has been a visiting Scientist at Gifu University in Japan, Imperial College of Science, Technology and Medicine, London and Harvard University, Cambridge, MA, USA. He currently serves as a Professor and Chairman of the Department of Instrumentation and Applied Physics, IISc Bangalore.