Aditya Shanghavi headshot

I'm Aditya Shanghavi, currently Research Scientist at the Neuroergonomics Lab and an avid dad jokes enthusiast.

About Me

⚙︎ WORK

I am interested in shaping intelligent systems that connect data and human context to create practical, scalable impact.

✈︎ TRAVEL

For me, travel is about curiosity and connection - hitting the road, discovering new cultures, meeting new people, and experiencing the world firsthand.

🍳 FOOD

Food is one of my favorite ways to experience the world. From experimenting in my own kitchen to discovering new restaurants, I am always chasing bold flavors and new culinary perspectives.

📚 READING

There is something powerful about seeing the world through someone else’s story.

🎧 MUSIC

Music is how I decompress and recharge. I enjoy discovering new artists and genres.

Experience

Research Scientist, NeuroErgonomics Labs

Leading research teams to develop a multimodal fatigue detection and forecasting system, and an AI-enabled adaptive VR training platform
Jan 2025 - Present

Project Lead, US Medical Innovations

Led a crossfunctional team of researchers and engineers to develop the Canady Laparoscopic Robotic Tool, and the Canady Plasma XL 1000 Smart Electrosurgical Generator
Sep 2016 - Dec 2019

Consultant Intern, Tupelo Brittany (Subsidiary of ATP Ventures )

Conducted technical due diligence of biotechnology and pharmaceutical clients, delivering actionable insights that informed investment decisions and guided market positioning.
2024

Research Assistant, Institute for Accessible Science Lab

Developed WristSense, a highly customizable and inexpensive wrist orthosis for C1-C5 tetraplegic users.
2020

Education

PhD, Biomedical Engineering, Purdue University

Developed a non-invasive sensor based system to objectively evaluate tremor in Parkinson’s Disease • Advised by Dr. Anne Sereno and Dr. Bradley Duerstock .
2024

MS, Mechanical Engineering, Purdue University

Developed an augmented reality system for surgical telementoring • Advised by Dr. Juan Wachs and Dr. Justin Siepel .
2016

BS, Mechanical Engineering, Purdue University

2014

Machine Learning Certificate, Stanford University Online

2019

Work Projects

Selected work across fatigue, immersive training, digital health, surgical robotics, and augmented reality systems.

Multimodal Fatigue Detection and Management System

Wearables

Longitudinal fatigue and stress modeling using wearable physiology, self reports, and context signals for high stress roles.

VR Interface to Improve Police Training

XR + LLMs

NSF funded immersive training platform with LLM powered NPCs, behavioral logging, and adaptation.

Digital Parkinson’s Tremor Quantification

Digital health

Wearable IMU based tremor quantification and severity estimation aligned to clinical scales and neurologist feedback.

Tumor Resection Surgical Tools

Med devices

Design & development, risk management, verification & validation, and regulatory compliance across surgical robotics and electrosurgical generators.

Augmented Reality for Surgical Telementoring

AR

Transparent display telementoring with in field annotations to reduce attention shifts and support real workflows.

Personal Projects

Web-based Psychomotor Vigilance Test

Physiological Data Open Source

Browser-based reaction time assessment for measuring vigilance, fatigue, and sustained attention. No installation needed.

SPREE-AI

In-video Sales Computer Vision

In-video advertisement and shopping tool enabling real-time product detection and interaction within video content.

MedAssist

AI Medical Chatbot RAG

Full-stack, domain-constrained AI medical assistant using Claude and a RAG pipeline grounded in PubMed literature.

Publications

Patents

Contact

adityashanghavi at gmail dot com • LinkedIn • GitHub