Autonomous Driving and Planning
End-to-end planning, latent planning states, perception-to-control pipelines, and controller design for self-driving systems.
AI Researcher · KAIST · AXE Lab
Satyam Mishra
AI Researcher | Integrated MS-PhD Student at KAIST | AXE Lab
I work on artificial intelligence systems that connect theory, autonomy, and real-world deployment, with research interests across reinforcement learning, autonomous driving, planning and perception, natural language processing, large language models, optimization, and interpretable AI. I also contribute to research-to-practice initiatives through QuanSkill, QuanVerse, QuanSolutions and QuanRobotics, connecting AI education, robotics, physical AI, and real-world system building.
138
Citations
7
h-index
4
i10-index
36+
Research outputs
About
Research identity
I am an AI engineer and researcher with experience across academic research, applied AI development, and research-driven product engineering. At KAIST, my current research direction focuses on end-to-end planning for autonomous driving, latent states of planning modules, and control architectures for self-driving systems.
My broader research agenda is centered on building intelligent systems that are not only accurate, but also interpretable, stable, safe, and useful in real environments. This includes reinforcement learning, semantic dynamics in language models, agentic AI, computer vision, robotics, and AI systems for education, healthcare, cybersecurity, and mobility.
Artificial Intelligence
Reinforcement Learning
Autonomous Driving
Planning and Perception
NLP and LLMs
Optimization
Interpretable AI
Agentic AI
Research
Research directions
My work connects autonomy, representation learning, dynamical systems, and safety-aware AI.
Reinforcement Learning and AI Safety
Safe and explainable RL, constrained decision-making, symbolic oversight, grammar-constrained generation, and agent safety.
LLMs and Semantic Dynamics
Semantic drift, entropy signals, Koopman operators, spectral methods, hallucination detection, and alignment under domain shift.
Computer Vision and Cyber-Physical AI
Object detection, measurement systems, human pose debugging, robotics perception, IoT security, and applied AI systems.
Research-to-Practice
AI education, robotics, and community building
Beyond academic research, I am involved in building initiatives that help students, engineers, and early-stage researchers move from theory to practical AI system development.
QuanSkill
QuanSkill focuses on applied AI education and skill development, including large language models, agentic AI, retrieval-augmented generation, local AI systems, automation, and project-based AI learning.
QuanVerse
QuanVerse is an AI learning and community ecosystem designed to help learners explore modern AI, build real projects, understand research ideas, and connect technical learning with practical product development.
QuanSolutions
QuanSolutions focuses on applied AI solution development for real-world business and industry use cases, including LLM integration, AI agents, workflow automation, RAG-based systems, and client-facing intelligent applications. It reflects my interest in translating AI research into deployable systems with practical impact.
QuanRobotics
QuanRobotics connects robotics, physical AI, perception, planning, control, simulation, and autonomous systems education. It aligns closely with my research interests in autonomous driving, reinforcement learning, and embodied intelligence.
Research-to-Deployment Mission
These initiatives reflect my broader goal of connecting academic research, AI education, and real-world deployment through structured programs, applied systems, and hands-on technical mentorship.
Publications
Full publications and manuscripts
Scholar statistics and publication metadata are based on the profile snapshot provided by Satyam Mishra.
Projects
Selected applied AI systems
Healthcare AI Agent
Developed and presented a healthcare AI agent PoC focused on domain-specific knowledge bases and agentic AI frameworks.
Research-Driven AI Agent
Built a research-grade AI agent using Gemini, LangChain, tool calling, DuckDuckGo search, and Pydantic-based structured outputs.
Autonomous Robot with Jetson Nano
Developed a self-driving robot car with deep learning for collision avoidance, path following, and image recognition.
SATMeas Object Detection and Measurement
Built a real-time object detection and dimension measurement system using computer vision, reaching over 98% reported accuracy.
Conversational AI with MistralAI
Created a Streamlit chatbot using Mistral-7B-v0.1, with practical deployment considerations for generative AI applications.
Email Sentiment Analysis
Built a platform for analyzing email sentiment with Hugging Face Transformers, NLTK, and language-model-based response generation.
Patents
Inventive work
Books
Books and learning resources
Recognition
Awards and academic service
Valedictorian Award
Vietnam National University, Hanoi.
Second Prize and Best Presentation
13th Student Research Conference, Vietnam National University, Hanoi.
Best Presentation Award
5th International Science Forum 2021, HCMC Youth Forum, Vietnam.
Academic Service
Serving as AAAI 2026 Program Committee member and NeurIPS 2026 reviewer.
Contact
Let’s connect
For research collaboration, academic opportunities, and AI systems work, please contact me by email or through my academic profiles.