Faculty Research Projects & Opportunities for Students

1. Faculty Research Projects & Opportunities for Students Department of Computing Sciences September 16, 2013

2. Overview • Faculty are full-time and part-time members • Interests range from theoretical foundations to practical applications • Some research is sponsored – funding for assistantships sometimes available • Actively seeking external sponsorship and partnership • Interdisciplinary research promoted • Student involvement is welcome and encouraged!

3. Grand Challenges of Computing CSC 9025

4. What is the “Grand Challenges of Computing” course? • CSC 9025 – Often called “Independent Study” • Mandatory for graduate students • Conduct independent research under guidance of a faculty advisor • Encouraged to tackle topics in our discipline that interest you AND your advisor • Intended for completion in a single semester • Extension to second semester possible • Keep your eyes open for interesting topics!

5. Faculty Research Interests & Activities Listen for opportunities to get involved in research

6. Prof. Barbara Zimmerman Projects

7. Current Interest • Software Project Management • Web Design • Database Systems • Inter-discipline applications of database • - Manchester Mummy project • - Egypt • - Alaska • - South America

8. DRA ABU el-NAGA – Thebes, Egypt

9. St. Lawrence Island mummy

10. THE CHURCH – 400AD

12. Flow from Mummy to Slides

13. 2013 Status Manchester Mummy DatabaseUpdate

14. Database designed and implemented Programs to enter data completed 2012 Documentation begun Egyptian data entered into database Database

15. Update database with Alaskan mummies Update database with North and South American mummies Transfer the database to Manchester England Train the researchers in England to use and update the database Coordinate with researchers using the database Remaining Work

16. Dr. Frank Ruhli, Head of Centre of Evolutionary Medicine in Zurich • Searched the Database and found specimens for DNA studies • Collected the Paraffin blocks from Manchester and have found DNA evidence in our mummy tissues • Dr. Randall Thompson, Saint Luke’s Ancient Mummy Research • Searched the database for diagnosis of Atherosclerosis • He will confirm using CT scans, tissue samples and microscopic slides Researchers Using our Data 2013

17. Dr. Robert Beck Projects

18. Web Site Design • Categories of web sites • Design principles for a particular category • Systematic evaluation against design principles • Automatic measurements

19. Web Site Renovation • Help nonprofit corporations, usually small ones, upgrade their web sites • Student works with “technical” person at nonprofit • Gather data for web site evaluation • Challenges • Communicating with the representatives • Developing with a variety of tools • Navigating the politics of the nonprofit

20. Web Site Renovation (2) • Current requests include: • Nancy’s House, a one-person corporation that arranges respite for caregivers • Brain Injury Association of Pennsylvania • Video based educational material on the site • Improved web site design • Marketing strategies to drive users to the site • College of Liberal Arts and Sciences • Better navigation

21. Social Network Analysis • Mesh models of conflict resolution with models of systems thinking for applications to • Nation building • Co-opetition in SOA system building • Examine and model social network strategies for promoting a cause • Flash mob • Philanthropy • “Pipeline” maintenance

22. Computing in Context • Computing and music through inquiry-based learning (IBL) • More generally, IBL for computing • More specifically, strategies for using ChucK, the language of the laptop orchestra

23. Packing Problems • Pack n equally sized spheres into the unit sphere and calculate the radius of the small spheres as a function of n. • Alternatively, use an ellipsoid of revolution instead of the unit sphere • Alternatively, solve the problems in two dimensions • Use a heuristic approach • Use a genetic algorithm

24. Mathematical Structures on the Web • Strategies for calculating, storing, and viewing mathematical structures such as: • Finite rings • Small Lie algebras • Lie algebra representations

25. Dr. Lillian (Boots) Cassel Projects

26. Dr. Lillian Cassel Research interests: Digital Libraries Computing Ontology Information and the Web Interdisciplinary Computing Some Current Projects www.computingportal.org A large digital library project for computing education, funded by NSF. Computing Portal Connecting Computing Educators www.distributedexpertise.org/computingontology Computing Ontology A complete definition of the computing disciplines, in collaboration with ACM Just starting With Dr. Way, Dr. Matuszek, and help from Dr. Papalaskari, funded by NSF Earlier and Broader Access to Machine Learning We will hire undergraduate help

27. Dr. Mirela Damian Projects

28. Research Topics (9) • Constructing and maintaining wireless network topologies.

29. Research Topics (10) • Folding and unfolding polyhedra.

30. Research Topics (11) • DNA Computing: How can DNA molecules solve computational problems?

31. Dr. James Dullea Projects

32. Interests and Projects • Information Management • Data Modeling • Data Warehousing • Data Mining • Information Metrics

33. Dr. William Fleischman Projects

34. Ethics • Research topics related to ethical issues and themes • Electronic voting • Outreach activities

35. Dr. Vijay Gehlot Projects

36. Healthcare Applications “…degradation of service can have serious consequences, especially when the medical device relies heavily on the wireless connection.  Such situations can compromise the wireless transmission of high-priority medical device alarms, …” FDA, August 13, 2013

37. CPN Model of WMDN

38. Results and Implications • Need for QoS requirement for medical applications • Similar situation in other application domains

39. Bio-Technology Applications

40. Model Components

41. Results Number of samples = 16 where Sample Set = [[(1,[]),(2,[]),(3,[]),(4,[12])],[(1,[]),(2,[]),(3,[9]),(4,[11])],[(1,[]),(2,[]),(3,[]),(4,[])],[(1,[]),(2,[]),(3,[]),(4,[11])],[(1,[]),(2,[]),(3,[]),(4,[])],[(1,[]),(2,[]),(3,[8]),(4,[])],[(1,[]),(2,[]),(3,[8]),(4,[11])],[(1,[]),(2,[]),(3,[]),(4,[12])],[(1,[]),(2,[]),(3,[]),(4,[])],[(1,[]),(2,[]),(3,[9]),(4,[11])],[(1,[]),(2,[]),(3,[]),(4,[11])],[(1,[]),(2,[]),(3,[]),(4,[12])],[(1,[]),(2,[]),(3,[]),(4,[12])],[(1,[]),(2,[]),(3,[]),(4,[11])],[(1,[]),(2,[]),(3,[]),(4,[12])],[(1,[]),(2,[]),(3,[]),(4,[12])]] Number of unique requests = 3 where Request Set = [[(3,[8])],[(4,[12])],[(4,[12])],[(3,[8]),(4,[11,12])]] Number of matched samples = 8 where Matched Samples = [([13],[(4,[12])]),([15],[(4,[12])]),([16],[(4,[12])]),([8],[(4,[12])]),([7],[(3,[8]),(4,[11])]),([6],[(3,[8])]),([1],[(4,[12])]),([12],[(4,[12])])] Number of pantry samples = 5 where Pantry Samples = [([14],[(4,[11])]),([4],[(4,[11])]),([2],[(3,[9]),(4,[11])]),([10],[(3,[9]),(4,[11])]),([11],[(4,[11])])] Number of hold samples = 0 where Hold Samples = [] Number of discarded samples = 3 where Discarded Samples = [([([9],[])],12),([([5],[]),([3],[])],12)] Number of unique assigned requests to samples = 2 where Assigned Samples = [([(4,[12])],[([13],[(4,[12])]),([15],[(4,[12])]),([16],[(4,[12])])]),([(4,[12])],[([13],[(4,[12])]),([15],[(4,[12])]),([16],[(4,[12])])]),([(3,[8])],[([7],[(3,[8]),(4,[11])]),([6],[(3,[8])])]),([(4,[12])],[([8],[(4,[12])]),([1],[(4,[12])])]),([(4,[12])],[([8],[(4,[12])]),([1],[(4,[12])])]),([(4,[12])],[([12],[(4,[12])])]),([(4,[12])],[([12],[(4,[12])])])] Number of unique possibly unmatched requests = 2 where Possibly Unmatched Requests = [([(3,[8])],[]),([(3,[8]),(4,[11,12])],[]),([(3,[8]),(4,[11,12])],[]),([(3,[8])],[]),([(3,[8]),(4,[11,12])],[])] Number of actual unmatched requests = 1 where Actual Unmatched Requests = [[(3,[8]),(4,[11,12])]]

42. Network Data Analysis and Modeling • Develop a set of tools and techniques for Network Performance Management and Service Assurance. • Create a generalized and extensible framework to accommodate future needs and expansion. • Build a unified dashboard that facilitates the understanding of the relationships between network resources, customer services and their respective performance indicators.

43. Results

44. Tools

45. Dr. Don Goelman Projects

46. Funded Projects (Sort of) • Databases for Many Majors: A Student-Centered Approach (Dietrich & Goelman) – through 2/2013 • Expansion of the Project (? – keep your fingers crossed - !) • Update 5/2013 – not enough crossed fingers for funding, but interest continues in using and customizing animations to bring database appreciation to the world

47. Funded Project (NSF DUE): Databases for Many Majors • Collaborative research with Prof. S. Dietrich, Arizona State University • Calendar: March, 2010 – February, 2013 • Curriculum development for database education to diverse majors • Software development: two animations • Advantages of (normalized) database technology over loser (I mean non-normalized) alternatives • Introduction to querying

48. Databases for Many Majors (continued) • Technical issues • Programming in FLASH/FLEX • Porting to mobile devices • Customization of the animations to majors • Driven by producers (Goelman/Dietrich) and consumers • XML-based • Rollout of animations - pretty mature • Home page: http://databasesmanymajors.faculty.asu.edu/

49. Other Interests and Projects • Databases: conceptual modeling • Databases: schema integration • Databases: XML for non-majors • Databases: NoSQL databases • Data Science and Big Data

50. Current and Recent Independent Studies • Ramya Numboori: NOSQL Data Stores • Hao Zhang: Database Querying in C# • Takashi Binns: DB Systems for Geographical Applications • Shishir Kaushik: Online Marketing • Sruthi Cherukuri: Utilities for Data Warehouses • KartheekChiluka: Rapid Application Development Frameworks • SudhaPalivela: NoSQL Databases, Exemplified by MongoDB