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Functional Safety Signal Processing

Location:
Toronto, ON, Canada
Posted:
November 20, 2023

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Resume:

Rahi Hemmati

email: ad1bja@r.postjobfree.com Phone:+1-289-***-****

LinkedIn: https://linkedin.com/in/ralihemmati

Summary of Qualifications

Telecommunications and Automotive Industries

With a strong foundation in technical team leadership and cross-disciplinary collaboration, I have cultivated expertise in the design and implementation of complex systems. My career journey has been defined by the following key highlights:

System Architecture Documentation and SW Design Specification: Proficient in creating comprehen- sive system documentations including requirements, high-level and detailed architecture description, software design specifications and visualizing system architecture through sequence, boundary, and state diagrams. Skilled at presenting technical concepts and project progress to diverse stakeholders.

Automotive Expertise: Specialized in automotive connectivity solutions, Advanced Driver Assistance Systems (ADAS) and autonomous driving, particularly in the field of positioning technology. Extensive experience in end-to-end (E2E) connectivity simulations, encompassing modeling, architecture design, and implementation for comprehensive network performance assessment.

Wireless/Cellular Communication Protocols: Proficient in 5G, LTE, WiFi, and Bluetooth/BLE commu- nication protocols, with a strong focus on the design of PHY and MAC layers.

Signal Processing and Data Fusion: Skilled in statistical signal processing, sensor fusion, stochastic optimization, and the design of smoothing/prediction filters.

System-Level Radar Design: Demonstrated competence in both preliminary and detailed design of radar systems at the system level. My contributions have played a pivotal role in advancing radar technology for various applications.

Cybersecurity and Functional Safety: Deep knowledge on Cybersecurity, including security proto- cols for wireless/cellular systems, familiarity with the NIST framework and ISO/SAE 21434 standards. Well-versed in functional safety practices, including FMEA/FTA analysis, and familiar with ISO 26262 standards for functional safety in road vehicles.

Work Experience

BKR ENERGY COMPANY, Toronto, ON Mar. 2023 –

ML/Security System Architect

• Implementing, Validating, and Optimizing AI/ML Algorithms: led the end-to-end lifecycle of AI/ML projects, encompassing the implementation, thorough validation, meticulous hyperparameter tuning, and comprehensive performance evaluation of diverse algorithms, including regression, reinforcement learning, and deep learning.

• Ensuring Cloud Application Compliance, Privacy, and Security: Played a pivotal role in safeguard- ing company cloud applications by conducting comprehensive compliance audits in alignment with relevant privacy acts. Orchestrated the successful implementation of robust access controls and multi- factor authentication mechanisms, strengthening the overall security posture. FORD MOTOR COMPANY, Detroit, MI May 2021 – Oct. 2022 Wireless System Architect

Enterprise Connectivity

• Vehicle Multi-ECU Connectivity Simulator: Led a team in developing a real-time Python simulator for automotive connectivity technologies, including 5G/LTE, WiFi, and BT/BLE, facilitating testing and validation of in-vehicle networking(LAN, VLAN, CAN, SOA, MQTT) and Cloud communication.

• Cellular Device Requirements: Defined and categorized cellular device requirements for automotive applications, encompassing TCU modem, RF/Antenna system, and End-to-End (E2E) criteria.

• Proof-of-Concept for AI/ML based Self-Organizing Networks(SON): Evaluation of using WiFi SON for enhancing WiFi coverage in Manufacturing plants, providing a POC based on available products. Rahi Hemmati ad1bja@r.postjobfree.com 2

• CV2X Algorithm Development: Developed CV2X algorithms, including traffic light classification(TLC) and lane detection, integrating CV2X, GNSS, and dead-reckoning data. High level and detailed descrip- tion along with SW specification documents provided. Multiple disclosures submitted.

• Proof-of-Concept Leadership: Led a successful TLC algorithm POC including MATLAB Simulink and C++ implementation (collaborated with Qualcomm’s positioning team on TCU implementation), test plan development, data collection and post-processing.

• Bluetooth as a Service (BaaS): Provided technical support for the design of a Bluetooth as a Service middleware solution for efficient management of BT/BLE devices in vehicles.

• ADAS Development: Collaborated on design of ADAS foundational services to expose sensor data to various applications.

• Technology Evaluation: Assessed cutting-edge technologies (e.g., Multi-Path TCP, 5G ATSSS Protocols, Open-Roaming, WiFi HaLow, Apple AirTag/Amazon Tile) for automotive applications, conducting per- formance and cost analysis to inform adoption decisions. THALES CANADA, Toronto, ON Jan. 2019 - May 2021

Senior System Engineer

Autonomous Train/ New Generation of Positioning

• Odometry and Design: Led the design of Odometry Function and contributed significantly to archi- tecture design for localization algorithms in an Automated Train solution. Implemented this complex system in Python and C++ to ensure precise train positioning and navigation through extensive field testing.

• Supervisions, Diagnostics, and Radar Integration: Spearheaded the development of supervisions and diagnostics for the Odometry function and Radar system, crucial for identifying sensor and func- tional failures. Provided essential technical support for integrating Commercial Off-The-Shelf (COTS) Automotive Radars from Continental, BOSCH, and Qualcomm.

• Field Test Leadership: Led comprehensive field tests, overseeing hardware and software setup for data collection from diverse sensors, including GNSS, Camera, Lidar, Radar, and IMU. Ensured precise data synchronization using GNSS PPS signals.

• Navigation Expertise: Conceptually designed a loosely coupled GNSS/INS integration solution for precise positioning. Set up laboratory tests for Real-Time Kinematic (RTK)-based GNSS correction solutions, optimizing positioning accuracy.

• Safety and Requirement Analysis: Conducted thorough safety analysis, including requirements docu- mentation for Safety Integrity Level (SIL4) arguments, Eliminative arguments, FMEA, and FTA. System requirements, high level and detailed description including sequence, boundary, and state diagrams along with SW specification documents provided.

• Advanced Localization Algorithms: Designed and tested advanced Odometry and positioning algo- rithms using Linear Kalman and unscented Kalman filters, enhancing system accuracy. Developed Python parsers for Radar and IMU data, improving data handling.

• Big Data Strategies Defined innovative Big Data strategies for managing field test results, encompass- ing performance analysis, feature extraction, data labeling, anomaly detection, and diagnosis definition using AL/ML tools.

BLINQ NETWORKS, Toronto, ON Jan. 2017 - Dec. 2018

Wireless System Engineer

LTE-based Fixed Wireless Access (FWA) System

• LTE PHY and MAC Layer Design: Designed and simulated LTE PHY and MAC layer algorithms for FDD and TDD systems. Made crucial decisions such as frame structures, beamforming, and control channel design. Conducted link budget analysis for robust network performance.

• QoS-Aware Scheduler: Formulated an SLA-based, QoS-aware scheduler for FWA systems, optimizing network capacity considering factors like delay, buffer size, and channel conditions.

• MMSE/IRC Receiver Analysis: Analyzed MMSE and IRC techniques for MIMO in FWA systems, enhanc- ing receiver performance and reliability.

• LTE-based FWA System Simulation: Conducted MATLAB-based simulations of LTE-based FWA systems, modeling frame structures, control and traffic channels, and utilizing CQI-based adaptive modulation for improved system efficiency and data transmission quality. Rahi Hemmati ad1bja@r.postjobfree.com 3

UNIVERSITY OF TORONTO/ERICSSON CANADA, Toronto, ON Sep. 2012 - Dec. 2016 Post Doctoral Fellow

PHY/MAC Layer Optimization

• Collaboration with Ericsson Canada: Collaborated closely with Ericsson Canada on patent filings and research paper publications related to advanced LTE/5G cellular networks and Device-To-Device (D2D) Communication, showcasing active involvement in cutting-edge research and innovation.

• Multi-Channel Resource Allocation: Successfully patented Short-Term and Ergodic solutions for Multi- Channel Resource Allocation in D2D Communication. These solutions, leveraging signal processing and optimization techniques, addressed critical resource allocation challenges, demonstrating strong problem-solving abilities.

• Game-Theoretic Framework: Introduced a novel Game-theoretic framework to optimize inter-operator carrier aggregation in cellular networks, showcasing the application of game theory principles for en- hanced network performance and resource utilization.

• Resource Allocation for Relay Networks: Developed Multi-Channel Resource Allocation algorithms tailored for two-way relay networks, aimed at improving network efficiency and data transmission in complex relay scenarios.

Teaching Experience

• Basics of Cryptography, Fall Semester of 2010-2011 and 2011-2012.

• Advanced Mathematics for Cryptography, Spring Semester of 2010-2011.

• Information Theory and Coding Theory, Fall Semester of 2011-2012.

• Digital Communications, Fall Semester of 2006-2007 and 2007-2008. Technical Expertise

Programming Languages C++, Python, MATLAB, PostgreSQL System Design Tools HFSS, H/PSPICE, Verilog

Project Management Tools JIRA, GIT, SVN

Requirement Management Tools IBM DOORS

Education

Doctor of Philosophy(PhD), Electrical and Computer Engineering, Tarbiat Modares University, Tehran, 2009 Master of Science(MSc), Electrical and Computer Engineering, Tarbiat Modares University, Tehran, 2004 Bachelor of Science(BSc), Electrical and Computer Engineering, University of Tehran, Tehran, 2002



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