Acquired nystagmus is a condition characterized by repetitive, involuntary eye movements that impair visual stability and quality of life. Current treatments, including pharmacological therapy and surgery, are often ineffective, non-specific, and unable to adapt to progressive symptom changes. Here, we present a real-time eye-tracking system that detects nystagmus, classifies its subtype using machine learning, and computes a corrective motion vector. The system integrates infrared cameras with Fourier-based processing to distinguish pathological oscillations from voluntary gaze shifts, achieving 99% detection accuracy with a 10 ms response latency. A computational model predicts the necessary counteracting motion to stabilize gaze, mapping corrective movements to extraocular muscles. Preliminary results demonstrate high precision in nystagmus classification and motion compensation, establishing a foundation for future electrode-based stimulation therapies. This system represents a step toward adaptive, closed-loop therapies.

CortiTrack is developing a novel continuous cortisol monitoring system through a wearable patch that transforms how stress-related conditions are managed. Our innovation solves the critical gap in stress measurement by providing real-time cortisol data where only subjective reporting or infrequent lab tests existed before.
The system combines three key elements: painless microneedle technology that accesses interstitial fluid just beneath the skin, advanced electrochemical sensors that specifically detect cortisol molecules, and a companion app that translates this data into actionable health insights. This allows users to identify stress triggers, optimize treatment timing, and validate intervention effectiveness with objective biological feedback.
By making the invisible stress visible and actionable, CortiTrack revolutionizes stress management for anxiety disorders, inflammatory bowel disease, and metabolic conditions—giving patients and clinicians unprecedented control over the body’s stress response and transforming how chronic diseases are managed.

Inverted PbS CQD architecture can cause damage to the CQD absorbing layer due to harsh solvents used in the ETL solution. The goal is to replace solution-phase ZnO nanoparticle ETL layer with sputtered ZnO with using the AJA Magnetron Sputterer at the Materials Characterization and Processing Center (MCP). This method deposits the ETL without a solvent, protecting the absorbing layer from damage and improving overall power conversion efficiency (PCE).

At Design Build Fly at JHU, we compete in the annual DBF competition, where universities around the world design, build, and fly custom remote-controlled airplanes to optimally complete missions. This year, we placed 49 out of 159 teams, putting us in the top third of competitors! We’re very excited with our placement and improvement over last year, and can’t wait to build a better plane next year!