Academically and professionally experienced Cognitive Vision (Computer Vision, Psychophysics, Brain Theory and Cognition, Robotics, Graphics, Video Processing, AI and Machine Learning) researcher with allied managerial and technical skills in project/ system design and implementation. About 4 years of core industry experience in US, EU and Asia, working on inter-continental, multi-national, intra-national, civilian and defense projects and with agencies such as NASA, DARPA, US DoD, EU Commission, Austrian FFG, etc., generating revenue over USD 3 million, leading groups in the capacity of Co-Principal Investigator/ Team Lead on million dollar projects, 10 research grant awards, over 60 publications in conferences, journals, workshops, patents and holding BE, MS, MBA, PhD (candidate) and LLM (current) degrees. Creator of The Affordance Network (AfNet), an open affordance based vision and robotics framework for knowledge representation

Researcher @ www.acin.tuwien.ac.at Designed and implemented Kinect range/ stereo sensors based object recognition and 3D scene reconstruction algorithms targeted at (a) landmarks such as doorways and room boundaries for indoor robot navigation (Robots@Home IKEA EU FP6 project) (b) table-top scenes for robot arm manipulation (GRASP EU FP7 project). Formulated evolutionary psychophysics based k-TR Theory to Visual Perception, Recognition by Component Affordances (RBCA), AfNet-The Affordance Network for cognitive visual processing (www.theaffordances.net) and allied components – AfRob (for Robotics), A-fACToR (ACT-R model), Af-kTRAANS (Cognitive language). Supervised research students. Lecturer for VU 0.5 350.001, Numerical Electrical Engineering From November 2009 to Present (6 years 2 months) AustriaMobile Vision Research Intern @ www.nvidia.com Designed mobile image segmentation and modeling algorithms implemented on Tegra/Android devices using C/CUDA From July 2012 to September 2012 (3 months) San Francisco Bay AreaAugmented Reality Research Intern @ www.qualcomm.com Designed and implemented real-time feature detection and tracking, SLAM algorithms for QC Augmented Reality (QCAR)/Vuforia SDK on Android, iOS environments From July 2011 to November 2011 (5 months) AustriaTechnical Research Synthesis Engineer / Research Scientist @ www.utopiacompression.com Designed and implemented various algorithms for Vision based Automatic Target Recognition (ATR), Image & Video Compression for Electro-Optic (EO), Infra-Red (IR) & Sonar Imagery, Generic scalable cognitive object recognition; US Department of Defense (DoD) Small Business Innovation Research (SBIR) projects. Generated revenue of about $2 million and served as technical lead and Co-Principal Investigator on several Phase I and II projects. From June 2008 to November 2009 (1 year 6 months) Greater Los Angeles AreaScientific Research and Development Engineer / Research Scientist @ www.utopiacompression.com Developed and implemented various algorithms for Robot obstacle avoidance, GIS, Airborne network modules for US Army, Air Force, Navy, NASA, Homeland Security SBIR programs From October 2007 to May 2008 (8 months) Greater Los Angeles AreaSoftware Research Intern @ csse.usc.edu Developed ASP & JSP extensions to CodeCount and DiffTool code profilers, maintained CSSE Bugzilla server interface From June 2007 to August 2007 (3 months) Greater Los Angeles AreaImage Processing Research Intern @ www.vulcantechsoftware.com Built DSP analysis plugins for ‘Vortex’, a neuro-image processing software built on a Matlab-SPM-VMat-Python pipeline From September 2004 to June 2005 (10 months) Greater Philadelphia AreaProgrammer @ 1. Developed ‘Demographic Enumerator’, an application for record maintenance of the Tsunami Relief Program of CARE&HELP (2005), using Visual Basic (VB) and OLEDB linking 2. Created ‘Regis’, a tool for registration, management of participants, with automatic slot allocation and on-line support, for PANORAMA 03, an AECE symposium (2003), using VB From April 2003 to April 2005 (2 years 1 month) Systems Trainee @ www.mic.in Trained in network management, Printed Circuit Board (PCB) design, embedded system design using CADSTAR and CamSoft From May 2003 to August 2003 (4 months) Hyderabad Area, India

Doctor of Philosophy (Ph.D.), Cognitive Vision, Computer Vision, Robotics @ Technical University of Vienna From 2010 to 2014 Master of Laws (LLM), Patent, Intellectual Property and Copyright Laws @ Queen Mary, U. of London From 2012 to 2015 Postgraduate Diploma in Laws, Patent, Intellectual Property and Copyright Laws @ Queen Mary, U. of London From 2012 to 2015 Master of Business Administration (M.B.A.), Project Management, Finance @ California American University From 2007 to 2009 Master of Science, Electrical Engineering, Intelligent Embedded Multimedia Signal Processing @ University of Southern California From 2005 to 2007 Bachelor of Engineering, Electronics and Communication Engineering, Image Processing @ Anna University From 2001 to 2005 Barcelona Cognition, Brain and Technology School, Summer 2011 @ Convergent Science Network (CSN), Barcelona, SpainSAT/SMT Solver School, Summer 2011 @ Massachusetts Institute of TechnologyCognitive Psychology, Spring 2011 @ Universität WienStatistical Machine Learning, Spring 2011 @ Institute of Science and Technology (IST), Klosterneuburg, AustriaVision and Sports School, Summer 2010 @ Eidgenössische Technische Hochschule ZürichVisual Recognition and Machine Learning School, Summer 2010 @ Institut national de recherche en informatique et en automatique (INRIA), Grenoble, FranceDigital Signal Processor and its Applications (ADSP) Certification, DSP Learning Center, Analog Devices, Summer 2004 @ Indian Institute of Technology, Madras Karthik Varadarajan is skilled in: C++, C/C++ STL, Matlab, Perl, Python, Ruby, Bash, Visual Basic, OpenGL, OpenCV, Vuforia, Android SDK, XML, CSS, Django