Four papers in the FLAIRS-39 proceedings
Work spanning trustworthy data exchange, machine-learning energy efficiency, wearable posture sensing, and probabilistic robot control.
About / Muntaser Syed
About my work.
I write papers and build software about trust, efficiency, and intelligence in computing systems.
Research focus
AI systems should report their limits.
My current work covers confidence representation, provenance, temporal validity, context budgets, and edge deployment.
My doctoral research in computer engineering at Florida Institute of Technology focused on artificial intelligence of things and effective machine learning on edge devices. Related projects cover semantic data, agent infrastructure, energy measurement, health sensing, compact data structures, and explainability.
I also teach through workshops and public repositories. Prototypes help me evaluate the methods in practice.
Timeline
Selected milestones.
Multi-language open-source research portfolio
Published research software for Python, Rust, and TypeScript, including JSON-LD Ex, Tokenmaster, Hashrope, Chronofy, MCP-Edge, and related systems.
Major League Hacking Top 50
Selected for the global MLH Top 50 for technical achievement and contributions to the hacker community.
Humanoid planning, speech, and UAV research
Research outputs in humanoid robot exploration, speech-feature engineering, voice-controlled UAVs, and real-time aerial data analysis.
Team Zero and competitive invention
Helped establish Florida Tech’s Team Zero and built award-winning projects in health, accessibility, finance, IoT, and social impact.
Contact
Get in touch.
Email is the best way to reach me. You can also connect on LinkedIn or open a discussion in the relevant GitHub repository.