Penn Research

At Penn, I was involved in a number of research activities. Each one is highlighted below with a brief explanation of what the work entailed and links to relevant publications.

Master’sThesis

My masters thesis was on developing a software framework for characterizing and simulating wireless network optimization algorithms for interference-limited wireless networks. My advisor was Prof. Alejandro Ribeiro. You can read the thesis here.

Medical Device Connectivity

This work started off as an independent study looking at a wireless plug-and-play patient-to-medical-environment interface for vital sign monitoring called the the patient personal interface (PPI). It then evolved into the medical device dongle (MDD), an open-source, standards-based platform for interoperable medical device connectivity. The MDD is supposed to enable research in interopable medical device connectivity as well as the applications that such connectivity enables. This work done under the supervision of Prof Insup Lee as part of the PRECISE Center‘s work on medical cyber-physical systems. It resulted in a publication, demo presentation, and competition finalist entry listed below. You can find out more about the MDD here. The project has evolved into the Open Health Connector.

  • Philip Asare, Danyang Cong, Santosh Vattam, Baek-Gyu Kim, Shan Lin, Oleg Sokolsky, Margaret Mullen-Fortino and Insup Lee, “The Medical Device Dongle: An Open-Source Standards-Based Platform for Interoperable Medical Device Connectivity”, 2nd ACM SIGHIT International Health Informatics Symposium (IHI 2012). Miami, FL.
  • Philip Asare, Danyang Cong, Santosh Vattam, BaekGyu Kim, Shan Lin, Oleg Sokolsky, Margaret Mullen-Fortino, Insup Lee, “Demo of the Medical Device Dongle: An Open-Source Standards-Based Platform for Interoperable Medical Device Connectivity.” Wireless Health 2011(WH’11), San Diego, CA.
  • Danyang Cong, Santosh Vattam, Philip Asare, Daniel Ge, Andrew, King, Insup Lee, Oleg Sokolsky, BaekGyu Kim, “Medical Device Dongle Service: An Android Library for Coordinated Medical Device Applications”, Android Competition, Embedded Systems Week 2011 (ESWeek’ 11). Taipei, Taiwan.

Gesture-based Input Device for Human-Computer Interactions

This work involved designing a MEMS-sensor-based hand shape and hand motion capture system and developing a method for representing captured hand shapes to enable a gesture-based (sign language) input device for computers. This was independent research funded by Prof. Nader Engheta and resulted in the a publication.

RF-Acoustic Hybrid Technique for Behind Obstacle Imaging

This work involved developing efficient models of objects of various shapes and materials in COMSOL to determine their acoustic resonance frequencies. This work was done under the supervision of Prof. Nader Engheta.