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Experience

 
 
 
 
 

Research Scientist

Delsys

Oct 2023 – Present Natick, Massachusetts
Responsibilities:
* Led multiple DIU & DOD-funded R&D teams to develop real-time physiological sensing systems (non-contact polygraph, biofeedback tools) using radar, RGB, depth, and thermal sensors — currently deployed to end-users.
* Developing an embedded lighting+optics hardware/software camera (Basler/Jetson) for chest motion analysis; output real-time signals from NIR camera input via a Python/C ++/ZeroMQ backend.
* Designed and launched ultra-low-latency, distributed multimodal capture system supporting 120Hz+ data streams from 12+ high-bandwidth cameras (ZeroMQ/PCL).
* Delivered full-stack solutions: sensor fusion/processing, user applications, and update/QA frameworks for deployment.
* Authored multiple patents, proposals, internal coding standards; mentored junior engineers.
 
 
 
 
 

Research Intern

Delsys

May 2023 – Oct 2023 Natick, Massachusetts
Responsibilities:
Led computer vision team to realize DIU and DOD projects, composed quarterly reports and grant proposals, mentored incoming research associates.
 
 
 
 
 

NSF GRFP Graduate Research Assistant

Clarkson University

Jan 2021 – May 2024 Potsdam, New York
Mentored by Dr. Natasha Banerjee (CS).
Thesis: Project to automate the repair of broken or damaged objects.
 
 
 
 
 

Engineering Intern

Qualcomm

May 2019 – Aug 2019 San Diego, California
Research Projects:
* Quantized and optimized existing neural networks for deployment on state-of-the-art Qualcomm handset devices.
* Developed a software API in Python to convert neural networks to a proprietary format and execute them on Qualcomm handset devices.
 
 
 
 
 

Undergraduate Researcher

Clarkson University

Jan 2017 – May 2019 Potsdam, New York
Mentored by Dr. Sean Banerjee (CS) and Dr. Natasha Banerjee (CS).
Research Projects:
* Developed and published an algorithm to automatically produce smoothly-joining 3D-printable restoration parts for broken objects.
* Developed and published a photogrammetry based 3D scanner, which is parametric, modular, and can be 3D printed at low cost.
* Managed research group in synthesizing 957 high point density 3D models using my 3D scanner to verify proposed scanning optimizations.
* Created parametric platonic solid calibration targets in OpenSCAD to enable quicker calibration of multi-camera systems.
Responsibilities:
* Mentored four undergraduate students in hardware prototyping and computational fabrication.

Accomplish­ments

NSF Graduate Research Fellow

Grand Prize Winner, Clarkson President’s Challenge

College of Arts and Sciences Award

Hamlin/Darraugh Award for Computer Science

R. Gerald Bradshaw Award for Computer Science

Best Presentation, Clarkson Research and Project Showcase

Contact

  • nikolas.lamb@gmail.com