The work was focused on applications for automotive ADAS (Advanced Driver Assistance Systems): radar-based parking sensors and rear occupant alarm systems. Participated in the following projects: USRR (Ultra Short Range Radar) for PAS (Parking Assistance System) and RAEB (Rear Autonomous Emergency Braking), ROA (Rear Occupant Alert) for child presense detection. Developed an applied software and algorithms. Tested the solutions in real conditions. Used different embedded system platforms and software.

The research was focused on application of radar-based short- and mid-range remote sensing system for safety purposes. Participated in the pedestrian detection and recognition project. Used different embedded system platforms and open source software.

Investigated different embedded system platforms and open source Linux-based software. Taught the several courses for undergraduate students, such as CSE102 Introduction to Web Design and Programming, PHY131-133 Physics, MECH104 Practical Science of Things, MATH118 Mathematical Thinking.

Applied artificial intelligence techniques for robot controller development and testing. Created a framework for robot trajectory exploration and analysis using log files. Developed an algorithm for line extraction from image and sensor data. Created a collision detection algorithm. Developed C++ and R applied software.

[Computing & intelligence Lab]• Took part in IPTV browser development - World Service (MS Virtual Earth, AJAX, C#) & ‘SmartMagnifier’ search tool• Created the ‘SmartMagnifier’ - standalone component with GDI+ graphics, multithreading, COM/ActiveX & an algorithm for web search results categorization based on VSM• Created an IPTV World app using Virtual Earth component (weather, news & traffic)[ASR Lab]• Created a real-time (serial) data logging application for data acquisition from various sensors• Carried out outdoor experiments using GPS, accelerometers & gyros on different subjects; did analysis of daily life activities [Interaction Lab]• Developed a desktop software application called ‘SensorStation’ for serial data acquisition & analysis using various sensors as data sources• Did experiments with compass & mobile robot-cleaner (compass navigation)[U-Health Lab]• Developed algorithms & interface to wearable device to recognize activities & locations of human daily living for healthcare purposes (context-aware mobile devices)• Carried out experiments on subjects to obtain data for analysis of resting, walking, running; created a model of activities; applied a digital filtering• Built a naive Bayes classifier (artificial intelligence) evaluating motion features to distinguish btw. activities• Developed a step counting algorithm using signals from motion sensors; # of steps is counted using measurements of the acceleration• Applied micro-sensors (accelerometers & gyros) to healthcare systems;[MEMS Lab]• Built an automated test system for gyro development & manufacturing that is hierarchically controlled by host computer with General Purpose Interface Bus & ‘GyroTest’ software• Participated in development of the IEEE’s standards: draft of P1431 “Standard Specification Format Guide & Test Procedure for Coriolis Vibratory Gyro” & P1554 “Draft Recommended Practice for Inertial Sensor Test Equipment, Instrumentation, Data Acquisition, andAnalysis”