LOS ALAMITOS, Calif., 13 June 2017 – IEEE Computer Society (IEEE CS) is pleased to announce winners of the IEEE CS Global Student Challenge, an international challenge open to all IEEE CS members, based on the IEEE CS 2022 report that will solve a real-world issue.
The winning submissions correlate with the IEEE CS 2022 Report, developed by IEEE CS Past President Dejan Milojicic and a team of nine technologists who surveyed the landscape and identified the 23 game-changing technologies that will have the biggest impact on our world by 2022. This was a unique opportunity for IEEE CS’s student members to create a solution to a real-world problem using a technology listed in the report.
The following are the three winning submissions for the 2017 Global Student Challenge:
Diagnosis, Monitoring and Rehabilitation of Parkinson’s Disease using Machine Learning & Big Data
By Muhammad Asad Raza and Syed Abrahim Ali Shah – National University of Sciences & Technology, and Muhammad Haris – Lahore University of Management Sciences
Our team has developed a complete range of tools for diagnosis, rehabilitation and monitoring of Parkinson’s disease. One first device is a Clinical Decision Support System (CDSS) that helps doctors diagnose Parkinson’s disease accurately by analyzing previous tremor patterns through Machine Learning and Big Data. We were able to achieve significant accuracy as compared to standard clinical practice through our CDSS. Our second device is a data driven management tool for optimised drug administration and 24/7 monitoring. Our third device uses latest physiotherapeutic techniques to control the symptoms of patients and gives them the ability to do their daily tasks normally. We won the Asia Pacific ICT Award on this research in December 2016 and published our findings in IEEE International Conference of Acoustics, Speech & Signal Processing (ICASSP) 2017 in New Orleans Louisiana.
Computer Vision for Good
By Nelson Daniel Troncoso Aldas, Justin Hardin, Kevin Irick, Tom Kawchak, Chris Kim, David de Matheu, Ikenna Okafor, Christoper Pratt, John Reid, Henry Gus Smith, and Peter Zientara – Penn State University, and Alexander Smith – York College of Pennsylvania
The Microsystems Design Lab (MDL) at Penn State is leveraging technologies in the 2022 report to bring sight to the visually impaired. We replicate the power of the human visual cortex using computer vision algorithms accelerated on HPC cloud platforms, and we deliver that power to the visually impaired through natural user interfaces and IoT devices.
By Henok Gezaw, Andrew Leverkuhn, Miguel Rosales, Jose Daniel Velazco, and Daniel Weaver – University of Houston, Clear Lake
In many parts of the world, villages depend on a small group of locals to successfully cultivate fruits and vegetables, so that the village has an adequate and steady supply of food. These locals range from missionaries to agricultural students, and they might not always have the appropriate education to help supply a village with food. As a result, we vision to help people living under these circumstances with the project Growth Line. Additionally, we believe this device’s planned functionality will have the potential to serve as a tool for general purpose agriculture and space exploration.
First place winners will receive US $1,500 and an invitation for recognition at the IEEE CS Annual Awards Banquet in Phoenix, AZ, USA on 14 June 2017. The second place team will receive US $500, and third place winners receive US $300.