EARLY MCI DETECTION
THROUGH TEXT

Jiyoon Pyo (EE)
Esther Whang (EE)

Advised by Professor Carl Sable

Mild cognitive impairment (MCI) is a cognitive disorder that affects memory, language, and judgment. Early detection of MCI can help prepare patients for lifestyle changes that come with the condition. This project aims to utilize deep learning to detect MCI based on a patient's text, to become the basis of an online-based screening system for early MCI detection.

FISH (FISH INTELLIGENCE SENSING HEURISTIC) 

Layth Yassin (EE)
Ali Ghuman (EE)
Simon Yoon (EE)

Advised by Professor Carl Sable

 

Fish in popular culture are depicted with human-like qualities, but fantasy aside, one wonders how complicated is a fish’s cognition? Specifically, we aim to explore whether fish move randomly. To tackle this, we plan on using a machine learning algorithm to attempt to predict the motion of a goldfish. If goldfish move with intention, then there lies the potential for a model to learn features and behaviors.

LINK TO PROJECT POSTER

SMART SHOPPING BUDDY:
AN AUTONOMOUS SHOPPING CART

Gregory Presser (EE)
Eric Xu (EE)
David Guo (EE)

Advised by Professors Carl Sable and Neveen Shlayan

Our project aims to develop a cargo-carrying robot that follows the user to enable people to live more of their lives hands-free. The cart will be equipped with ultra-wideband technology to determine the user's location and ultrasonic sensors to detect and avoid obstacles. This solution can enable a plethora of beneficial use cases, such as carrying groceries and goods for wheelchair users, the elderly, and parents of young children; carrying equipment in industrial applications such as warehouses or factories.

LINK TO PROJECT POSTER
LINK TO DEMO VIDEO

5 GHz Wifi RECEIVER FRONT-END

David Yang (EE)
Sue (Xue Ru) Zhou (EE)
Franklin (EE)

Advised by Professors Neveen Shlayan and Jabeom Koo

 

Our team is working with Efabless, a New York based fabrication company, to design the front-end of a 5 GHz wifi receiver consisting of three blocks: a low noise amplifier, mixer and oscillator. We are focusing on minimizing output distortion while still maintaining low power consumption.

AUTOMATED THEATER CONSOLE
FOR LIGHTING

Jaewon Sohn (EE)
Lucia Rhode (EE)
Sara Yacoub (EE)

Advised by Professor Neveen Shlayan 

 

In automated theater, show control is the use of automation to operate multiple entertainment control systems in a coordinated manner. Our project aims to automate lighting cues based on speech detection and allow the user to insert lighting cues within a script. Small theaters or independent productions can benefit from these technologies due to relatively small budgets and limited personnel.