Embedded intelligence
Taking machine learning beyond the workstation and onto constrained devices.
I’m Akram Saeed. I build intelligent systems that connect the physical world with human possibility.
Embedded AI & Systems Engineer
PhD Researcher · The University of Texas at Dallas
From wearable sensing to university-scale platforms, I turn complex technical challenges into systems people can use.
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I work where intelligent software meets the physical world.
As a Computer Engineering PhD researcher at UT Dallas, I focus on AI for wearable and medical devices: on-device inference, multimodal sensor fusion, and clinical risk monitoring.
My path here spans telecommunications, university infrastructure, software development, and teaching. I’ve led engineering teams, supported campus-wide systems, and helped students bring their first embedded projects to life.
That experience shapes how I approach research: start with a real human need, understand the constraints, and build something useful.
On-device monitoring for early detection of post-procedural clinical complications.
Doctoral research · Advisor: Dr. Kamran KiasalehSoftware, hardware, and the decisions that bring them together.
Taking machine learning beyond the workstation and onto constrained devices.
Connecting sensors, firmware, and real-time processing to the physical world.
Building dependable platforms and leading the teams that keep them running.
A career connecting research, teaching, and hands-on engineering.
Get the full résuméUT Dallas · 2026–present
University of Illinois at Chicago · 2015–2017
Communications · University of Mosul · 2009–2013
Researching AI for wearable and medical devices. Teaching assistant for the Electrical and Computer Engineering Fundamentals II Laboratory.
Led a team of 12 developers and IT specialists, shaping architecture, security, and reliability across institutional web services and 24 academic departments.
Taught programming, computer networks, microprocessors, and digital communications. Supervised the DSP laboratory and student projects in embedded and assistive technology.
Directed campus computing infrastructure, IT budgets, procurement, and information security for a university community of 12,000.
Built and maintained data workflows for more than 40,000 student records in Slate CRM and SQL. Developed the department’s standard CRM onboarding program.
July–December 2015 · Academic computing support across Windows, macOS, and Linux.
August 2014–May 2015 · Broadcast uplinks, Cisco networking, server infrastructure, and recovery systems.
2013–2014 · BTS/BSS construction, commissioning, and on-site technical coordination.
Mathematical Modelling of Engineering Problems · 2023
Mobile computing · Cloud-assisted recognition
University of Illinois at Chicago · 2017
Research collaborations. Embedded AI. Thoughtful engineering.