Integration Lab

Archived Projects 2018

Mental health journaling application that uses real-time facial expression recognition, natural language processing and sentiment analysis on users’ voices to help them track their mental well being.

Team: Anvita Achar, Daniel Moreno, Karinna Loo, Francisco Selame
Faculty Advisor: Chris Callison Burch

Foot’s Ease
Design a smart shoe to assist people with foot drop problem.

Team: Ece Sahin, Julia Lin, Cody Clouser, Kelly Larkin
Faculty Advisor: Sid Deliwala
Clinical Advisor: Ari Brooks

A mobile adaptive psychomotor vigilance test to detect sleep deprivation.

Team: Jenny Chen, Alice Ren, Paul Zuo
Faculty Advisor: Boon Thau Loo
Clinical Advisors: Mathias Basner & David Dinges

Alternative Splicing
Deep learning methods to detect alternative splicing.

Team: Joseph Kupferberg, Liam Murphy, Nazih Bissat
Faculty Advisor: Yoseph Barash

Smart Fibers
Smart Fibers enabled by liquid crystal for personalized health.

Student: Samantha Burns
Faculty Advisor: Shu Yang
Secondary Advisor: Genevieve Dion (Drexel Univ)

Design a wearable that can​ ​be​ ​transformed​ ​into​ ​a​n auto-injector​ ​delivery​ ​device​ ​for​ ​epinephrine.

Team: Reed Ginsberg, Spencer Fox, Jacob Snipes, Daniel Orol, Alexander Garcia, Benjamin Bernstein
Faculty Advisors: Kevin Turner, Paulo Arratia

Design a wearable that detects opioid levels based on anxiety, tremors and other body functions.

Team: Manjari Ganti, Eric Helfgott, Margaret Schroeder, Kyle O’Neal
Faculty Advisor: Michael Rizk
Clinical Advisor: Ari Brooks

A novel solution to solve the daily balance discrepancy within cash registers.

Team: Bill (Li Le) He, Phillip Trent, Enrique Mitchell, Rhianna La Chance, Alison Weiss
Faculty Advisors: Sid Deliwala, Nicholas McGill, Graham Wabiszewski, Mark Yim

Multiplay AR
Democratize multiplayer access in augmented reality.

Team: Akshat Agrawal, Krishna Bharathala, Devesh Dayal, Jacob Kahn,Amit Patel
Faculty Advisor: C. J. Taylor

Remote Rangers
Increasing efficacy of search and rescue efforts for lost hikers.

Team: Rohun Patel, Carter Rice, William Archer
Faculty Advisor: Tania Khanna

An AR application for kinect that allows customers to visualize clothing in the comfort of their home.

Team: Meghana Jayam, Tyler Douglas, Ben Henry, Sydney Morton, Nikhil Raman
Faculty Advisor: Kostas Daniilidis

Healthcare accessiblity for low income patients in Philadelphia area.

Team: Sonia Kumar, Claire Frankel, Bari Gordon, Sabrina Aberman
Faculty Advisor: Megan Ryerson

Using machine learning to analyze data from sleep studies to predict emphysema and depression.

Team: Sam Lerner, Kanishka Rao, Zane Stiles, Michael Terracciano
Faculty Advisor: James Weimer
Clinical Advisor: Nalaka Gooneratne

Design smart socks for peripheral edema to predict serious health issues.

Team: Bernardo Penteado, Leo Kensicher, Fabian Louis, Nikhil Krishnan, Christian de Abreu, Alejandro Villasmil
Faculty Advisor: Graham Wabiszewski
Clinical Advisors: Pamela Cacchione, Ari Brooks

Boston Optimized Healthcare
Optimize health care services for low income, elderly populations in New York City using agent-based modelling tools.

Team: Brian Zeoli, Dillon Lynch, Adam Christenson, Ujjwal Tamhankar, Caroline Duckworth
Faculty Advisor: Barry Silverman

3D Manufacturing of Personalized Implants
Novel biocompatible 3D printed bone graft substitute for bone tissue.

Team: Young-Hun Kim, Kevin Hayes, Michael Solomon, Robert Pierson
Faculty Advisors: Paul Duchyene, Pedro Alvarez-Urena

Create a decentralized messenger on the blockchain.

Team: Sahil Shah, Yassine Saadi-Elmandrja, Andrew Zhang, Mark Decesare
Faculty Advisor: Scott Snyder

Create an interface to classify and understand online data.

Team: Matt Cohen, Natasha Narang, Vivian Ge, Samantha Caby
Faculty Advisor: Chris Callison-Burch

Aggregating Amazon Reviews
Build a web application that aggregates amazon reviews of computers using machine learning.

Team: Carolina Zheng, Raymond Yin, Sumit Shyamsukha, Joe Cappadona
Faculty Advisor: Chris Callison-Burch

Design a portable, deployable, delta 3D cement printer, that can be rapidly built and used anywhere.

Team: Christopher Painter, Miranda Cravetz, Sarah Ellen, Karim Boulos
Faculty Advisor: Jennifer Lukes

MS Tribometer
Design and build a multifunctional tribometer that can test friction and wear under different conditions.

Team: Kai Wang, James Buser, Ben Riedel, Sabino Padilla, Darryl Beronque, Omar Rizkallah
Faculty Advisor: Richard Carpick

Exploring Fairness and Bias in Algorithms and Word Embedding.

Student: Michael Sosnick
Faculty Advisor: Aaron Roth

The orphan drug act-Effect on innovation and unintended consequences.

Student: Samantha Carter
Faculty Advisor: Abby Alpert

Resisting adversarial attacks against neural networks.

Student: Summer Yue
Faculty Advisor: Insup Lee

ParaLLL: Parallelizing the LLL Algorithm

Student: Paul Lou
Faculty Advisor: Nadia Heninger

Cooperative reinforcement learning.

Student: Lawrence Chan
Faculty Advisor: Val Tannen

Deciphering Crypto Networks- Investigation into the Potential of Decentralization,
Real-World DApps & Cryptoeconomics

Student: Parth Chopra
Faculty Advisor: Brett Hemenway

Machine Learning & Algorithmic Trading of a Mean-Reversion Strategy from the Cloud for Liquid ETFs on Robinhood.

Student: Fan Zhang
Faculty Advisor: Abraham Wyner

A Survey into the Bitcoin Scaling Dilemma.

Student: Raja Atluri
Faculty Advisor: Brett Hemenway

Buy-‘Til-You-Die Models for Large Data Sets via Variable Selection.

Student: Rafael Dimaano
Faculty Advisor: Pete Fader

Sum of Squares Optimization.

Student: Akhilesh Tangella
Faculty Advisor: Aaron Roth