Md Tawhid Bin Waez, Phd Email & Phone Number

Canton, Mi, Us

At RoboFication LLC, we’re revolutionizing how safety-critical industries—like automotive, aerospace, and defense—design, develop, and certify complex systems. By integrating artificial intelligence, large language models, and formal methods with advanced engineering practices, we automate the entire systems engineering process, ensuring faster, safer, and more reliable outcomes while significantly reducing the traditionally high costs of systems engineering.As the Founder and CEO, I oversee all strategic, technical, and business efforts, with a mission to drive industry-wide transformation by leveraging cutting-edge technologies that deliver unprecedented efficiency, precision, and cost-effectiveness in systems engineering.

In this period, I was deeply engaged in research, prototype development, and laying the groundwork for RoboFication LLC. While exploring applications in financial markets and gamified AI childcare, I placed a strong emphasis on AI-based automated systems engineering. My work during this time included achieving breakthroughs in prototype functionality, securing essential certifications, and establishing the intellectual property framework for the company’s future operations.

Dearborn, Michigan, Us

I led formal active safety efforts for automated driving, focusing on prototyping intelligent and reactive simulation models of road participants to bridge the gap between virtual verification and validation (V&V) and real-world testing for autonomous vehicles. I led a diverse team of 18 engineers across controls, AI/ML, systems, software, simulation, test, and HiL domains to develop a formally guaranteed safety monitor and collision avoidance feature for automated driving. This feature significantly reduced both development costs and time for motion planners.Additionally, I developed a data-driven approach to compute the density distribution of forward reachable states for autonomous systems without relying on system dynamics. This method enabled the real-time computation of collision risks, which I applied in combination with MPC to ensure verifiable safe path planning under uncertainties.I also implemented the first real-time dynamic bounding box-based ego-occupancy for both high- and low-speed automated driving, ensuring formal safety guarantees and improved drivability. To support this, I developed a novel map downsampling algorithm that preserves safety guarantees.I was responsible for establishing the first HiL support at Ford for Baidu’s Apollo automated driving platform, further advancing Ford’s automated driving capabilities. I also surveyed the applicability of hybrid systems safety verification tools from an automotive perspective. Tools Used: Python, C++, Bazel, Ubuntu, ROS, Apollo, Docker, Pytorch, Matlab, Google TestPatents:1. Vehicle Path Verification2. Vehicle Map Data Management3. Dynamic Bounding Box Conference Papers:1. Case Studies for Computing Density of Reachable States for Safe Autonomous Motion Planning2. Learning Density Distribution of Reachable States for Autonomous Systems3. Formally Guaranteed Tight Dynamic Future Occupancy of Autonomous Vehicles 4. Coupling Apollo with the CommonRoad Motion Planning Framework

Dearborn, Michigan, Us

I was responsible for automating and increasing the precision of Ford's software development systems engineering through automated formal methods. I led the development of company-wide ISO 26262: 6-compliant software V&V processes from 2015 to 2016.Between 2015 and 2017, I identified and resolved issues in over 50% of the requirements for several full-scale automotive controllers by applying software formal verification, with requirements passing both SiL and MiL tests. I applied C code formal verification to auto-code and verified model-based controllers using Simulink formal verification. I also synthesized a provably correct controller for a fuel cell thermal management system.In 2014, I evaluated static code analyzers for Ford teams, leading to the global adoption of the recommended tools. To automate requirements engineering, I developed a tool that converted textual requirements into C and Simulink languages enabling automated formal verification and test case generation. I also performed 3C checks and used NLP to semi-automatically convert legacy requirements into formal specifications.Tools Used: Simulink Design Verifier, BTC EmbeddedPlatform, Polyspace, Astrée, CodeSonar, Coverity, QAC, UNO, MagicDraw, SysML, C++, Simulink, BTC EmbeddedSpecifier, RQA, Stanford NLP parser, QT DesignerJournal Papers:1. On the Applicability of Hybrid Systems Safety Verification Tools for Automotive Systems2. Fuel Cell Thermal Management: Modeling, Specifications and Correct-by-Construction Control SynthesisConference Papers:1. Multiple Analyses, Requirements Once: Simplifying Testing & Verification in Automotive Model-Based Development2. Verifying Auto-Generated C Code from Simulink—An Experience Report in the Automotive Domain3. Formal Verification of Automotive Simulink Controller Models: Empirical Technical Challenge, Evaluation and Recommendations4. Fuel Cell Thermal Management: Modeling, Specifications and Correct-by-Construction Control Synthesis

Kingston, On, Ca

I was responsible for advancing the precision and scalability of safety-critical automotive systems through innovative modeling, verification, and correct-by-construction controller synthesis methods. I led the development of the Timed Process Automata (TPA) framework, enabling the scalable and precise representation of dynamic, hierarchical real-time systems, essential for modern automotive applications.I collaborated with GM R&D to implement task-level reconfiguration strategies for mixed-criticality multi-core systems, ensuring cost-effective fault tolerance. By reallocating tasks during failures, I enhanced the reliability and safety of systems operating under strict performance constraints. Additionally, I introduced state-space reduction techniques to tackle the state-space explosion problem in automotive software, significantly improving the efficiency of system analysis and real-world implementation.A key part of my research focused on correct-by-construction controller synthesis for real-time systems, ensuring safety and compliance from the design phase. I also developed automated strategies for mixed-criticality multi-core systems, optimizing processing capacity while maintaining safety standards, which demonstrated significant cost savings in automotive production without compromising reliability.During this time, I held visiting researcher positions at General Motors R&D (MI), IT University of Copenhagen (Denmark), and University of Waterloo (ON), furthering my work in real-time system modeling, formal verification, and game theory applications in safety-critical systems.Journal Papers:1. Controller Synthesis for Dynamic Hierarchical Real-Time Plants Using Timed Automata2. A Survey of Timed Automata for the Development of Real-Time SystemsConference Papers:1. A Model for Industrial Real-Time Systems2. Synthesis of a Reconfiguration Service for Mixed-Criticality Multi-Core Systems: An Experience Report

Kingston, On, Ca

Responsibilities:Helping the course instructor and the students to successfully continue Software Specification course

Detroit, Michigan, Us

Responsibilities:Research on Methods and Tools for Debugging and Verification of Automotive Embedded Software

Waterloo, Ontario, Ca

Responsibilities:Performing research on modelling and formal reasoning of runtime process creation, deletion, and resource allocation in adaptive continuous-time control systems (a.k.a. cyber-physical systems).

Copenhagen S, Dk

Responsibilities:Performing research on property preservation for timed automata in its implementation and strategy preservation for timed game automata in its implementation

Waterloo, Ontario, Ca

Responsibilities:Performing research on property preservation from real-time formal model to code execution and run-time verification for real-time systems.

I focused on developing advanced methods for improving the safety and reliability of complex software systems, with an emphasis on applications in safety-critical industries. As part of my work, I developed the Communicating Visibly Pushdown Processes (CVP) framework, blending finite-state methods with context-free features to enhance the specification, modeling, and verification of concurrent software systems. This work paved the way for more efficient verification processes, particularly for safety-critical environments such as automotive and aerospace.In parallel, I contributed to the development of Visibly Pushdown Languages (VPL)-based recursive process algebra for software specification and verification. These methods were designed to address the growing complexity of software systems in real-time and parallel environments, ensuring more robust and scalable verification strategies that meet the stringent requirements of safety-critical applications.The techniques I developed were instrumental in providing a foundation for modeling and verifying complex systems, reducing the risks associated with concurrency and system reliability. This research helped bridge the gap between theoretical advancements and real-world application in high-stakes industries.Conference Papers:1. Unrestricted and Disjoint Operations over Multi-Stack Visibly Pushdown Languages2. Communicating Visibly Pushdown Processes

Phd, Computer Science

Msc, Computer Science

Bachelor Of Science (Bsc), Computer Science