Tag Archives: Computer Science Electrical Engineering

Deep Medhi answers Ask the Experts questions for IEEE ICC 2012

Curators’ Professor Deep Medhi, was one of four experts picked by IEEE Communications Society that responded by twitter to questions posed during Ask the Experts sessions sponsored June 10 – 15, 2012 by IEEE’s ICC 2012 . The sessions were described by IEEE ICC 2012 as “Ask the Experts will be a unique, educational social media experience during IEEE ICC 2012. It will feature several 90 minute sessions during which, attendees, members, and all who are active in the ComSoc community are welcome to pose questions via Twitter hashtag #ComSocExperts.”

Xinjie Guan & Xili Wan Awarded GENI Summer Camp Scholarships

Xinjie Guan and Xili Wan are two of ten students in the nation to win the first annual GENI (Global Environment for Network Innovations) summer camp scholarships. Ms. Guan, a third year telecommunications and networking Ph.D. student at UMKC SCE, and Mr. Wan, a fourth year telecommunications and networking Ph.D. student at UMKC SCE, spent May 29, 2012 – June 2, 2012 at the Rochester Institute of Technology in New York learning how to use the GENI resources/tools such as ProtoGENI, Flack, Instools, and OpenFlow. They gained hands-on lab experience with those resources and developed a team-based project that established certain network topology and investigated the impact of new flow attack to OpenFlow switch.

Attending the GENI summer camp greatly improved Ms. Guan’s and Ms. Wan’s skill in using GENI resources/tools. Furthermore, they obtained many significant suggestions from GENI experts on how to design and begin their next research projects. GENI infrastructure is becoming a mature virtual lab for networking related researches and compared to traditional simulation, GENI resources and tools provide more convincible results as they support experimentation on real nodes throughout the network. Xinjie Guan’s faculty advisor is Professor Baek-Young Choi and Xili Wan’s faculty advisor is Professor Xiaojun Shen. SCE heartily congrats Ms. Guan and Mr. Wan on their awards and knows the experience they have gained will benefit them greatly. For more detail about the camp download the file – GENI.

Deep Medhi featured on Fox4 News

What are you doing to be sure your personal data is kept safe? We’ll bet you’re not doing as much as you could! Dr. Deep Medhi, professor at UMKC, told us how to electronically secure your family’s most important documents. Fox4 News invited Dr. Deep Medhi, Curators’ Professor, to explain how viewers can keep their personal data safe.

Sarah Withee’s team wins Best Mobile App at Hack the Midwest Contest

Hack the Midwest, an event designed to bring developers and designers together to create a working website or mobile app in 24 hours, brought together over 100 developers and 28 different apps. SCE’s own Sarah Withee, along with friends Abbey Trotta (a UMKC computer science alumni), Sarah Peters, and Kevin Donnelly developed an iPhone game called Number Scram. They won the Best Mobile App award, and received a Samsung Galaxy S II Epic 4G Touch for the prize!

“Number Scram is a game where the goal is to score as many points as possible in 60 seconds. Points are scored by reaching a target number using a combination of digits and math operators. Users can earn multipliers to their score for each problem by using digits with an apple (2x) or gold star (3x) next to them. The app also keeps track of user stats including number of games played, highest score, average score and most math operators used in a single game.” Be sure to look for Number Scram in the Apple App Store in a few weeks. Screen shots of the app they developed can be found here.

Congratulations to Sarah and her teammates! Pictured from left to right: Kevin Donnelly, CS graduate from University of Missouri-Columbia; Sarah Peters, MSA CS graduate from Northwest Missouri State University; Abbey Trotta, CS graduate from UMKC and Sarah Withee, CS student at UMKC.

Sourav Jana & Feichen Shen Present Research at SHARPn Summit 2012

Feichen Shen and Sourav Jana, software architecture and software engineering computer science Ph.D. students working with their faculty advisor Dr. Yugi Lee, presented their work on “Semantic Search Engine for Clinical Trials” at the SHARPn Summit 2012, at Mayo Clinic in Rochester, MN, organized by Mayo Clinic on June 11-12. Feichen Shen is currently working this summer in an Intern-Biostats (PHD) position at the Department of Health Sciences Research at Mayo Clinic. The Mayo Clinic is one of the top most highly reputed institutes for advanced research in the United States. Sourav Jana received a CSEE department travel grant for the trip to the SHARPn Summit 2012.

Abstract of the presentation: Semantic Search Engine for Clinical Trials Standardizing the representation and content of eligibility criteria is an important step for obtaining enhanced efficiency of clinical trials. There have been several attempts to formalize eligibility criteria through establishing the creation of ontologies and other structured representations. This poster presents a semantic approach for facilitating accurate matches between clinical trials and eligible subjects. For this purpose, firstly, clinical trial studies from Clinicaltrials.gov have been clustered. Secondly, the clinical trial ontology called the MindTrial Eligibility ontology (MEO) was modeled based on the inclusion and exclusion criteria for obtained clusters. Thirdly, an open-ended query is generated using the Semantic Web Rule Language (SWRL) to discover potential participants in clinical trials via facilitating partial matching through relaxation of eligibility criteria. Two kinds of search interfaces are designed for selecting patients and/or potential volunteers. One is based on a detailed fine-grained checklist view where fields identical to those in the query can be selected as inclusion (desired) or exclusion (NOT desired) criteria. The second kind of query interface is based on summarized queries and reasoning that are expanded by the MEO ontology and computed on a subset of volunteer responses. The prototype system for the proposed model has been implemented to support customized searches for potential recruiters. This system allows for the flexibility of using free text while capturing the semantics of the criteria for computer readability. This approach surely leads to better characterization of both human volunteers and clinical study requirements, thus resulting in accurate and efficient matching of subjects with clinical studies. The outcomes obtained through the application of our approach can be used to generate an atomic set of eligibility criteria that would be readily incorporated into intelligent search engines in databases of clinical trials and subjects.