Ing. Sai Janani Ramachandran

- Support EU Project ADAS & ME - Product promotion & Support in RFI and RFQ handling - Market research, Trend Analysis of ADAS systems for SAE Level 3/4/5 Autonomous cars - Technology Hunting and Benchmarking

- Market research, Trend Analysis of ADAS systems for SAE level 3/4/5 Autonomous cars - Technology Hunting and Benchmarking - EU Project ADAS & ME: Introduce DENSO's LUMI concept for trucks at SCANIA Prepare Hardware connection manual and Software Workflow manual for the Users Support and provide assistance with installation or Software issues occurring with LUMI at SCANIA's site

Occupant Status monitor (OSM): - Training & Validation of Machine Learning Software that detects the Occupants within the car - Plan and conduct experiment to collect relevant Training inputs - Identify system limitations a Formulate a strategy to overcome it LUMI (Led Strip): - Create the lighting patterns to be played in the LED Strip - Support conducting Experiments to verify the use of LUMI as a HMI component - Collect Subjective and objectives results and statistically analyze results.

- EU Project ADAS & Me (Use Case - A Long Haul Trucking) Worked in Close collaboration with Use-case Leader SCANIA in creating Use-cases for Long-Haul Trucking and in Developing Techniques for HMI (Human Machine Integration) systems and Personalization systems for the Autonomous trucks - Analyze DENSO's Gen 1.5 Driver Status Monitoring system and Documented the Software and hardware Architecture of the System - Benchmark DENSO's DSM system with the market available DSM systems

Bluetooth Low Energy (BLE) & 802.15.4 based Ranging Application: Many applications of today rely on the distance information between two radio nodes. Eg: Indoor navigation & asset tracking. Today’s asymmetric distance measurements rely on Receiver Signal Strength Indicator (RSSI) and are very sensitive to environmental factors influencing the radio transfer. My project seeks alternative solutions to improve the measurement accuracy(< 5m) for slow moving objects(< 5km/h) using the Phase of the radio signal

This project focusses on developing Physically Uncloneable Function (PUF) based on the on-chip ADC-DAC, suitable for the IoT applications. The project was carried on with the C-Mote board from CDAC which has the TI's low-power MSP430F2618 processor. This experiment was carried on eight C-Mote boards,that will be connected in cloud to test the beta version of the ADC-DAC PUF.

Network Embedded Systems, Cloud Computing & IoT, Architecture of Distributed Systems

Embedded Systems, Embedded Software, Computer Systems Architecture

- Open and User innovation - Business Development Lab for Entrepreneurship Engineers (Practical Exercises like Developing a Business Model, collaborating with suppliers and partners, pitching for fund with Angel investors and venture capitalists) - Master Thesis for Innovation & Entrepreneurship