Department of Computing Sciences September 28, 2015.
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Transcript of Department of Computing Sciences September 28, 2015.
![Page 1: Department of Computing Sciences September 28, 2015.](https://reader030.fdocuments.in/reader030/viewer/2022032414/56649ee65503460f94bf67e2/html5/thumbnails/1.jpg)
Faculty Research Projects & Opportunities for Students
Department of Computing Sciences September 28, 2015
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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!
Overview
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Devices
• CAVE• Object capture rig• Oculus Rift• Google Glass• Mindstorm robots
• Kinect• Raspberry Pi• Finch• IR keyboard• 3D printer
And much much more!
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Research Outlets & Support
• Conferences• Research Projects• Fun Projects• Reading Day Events• CS Ed Week Events• Sigma Xi Event• Many others
• Travel funds• Equipment funds
• Grad Office has some• Undergrad Office also• Department might too• Research grants as well
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Grand Challenges of Computing
CSC 9025
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CSC 9025 – Often called “Independent Study” Optional for graduate students
(used to be required) 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!
What is the “Grand Challenges of Computing” course?
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Faculty Research Interests & Activities
Listen for opportunities to get involved in research
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Dr. Tom WayProjects
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Department of Computing Sciences 9
Active Projects
Parsing & Translation Google Glass, Machine Learning & Memory Sentiment Analysis & Tracking Misc. NLP Parsing Projects Tremor Filtering Wii Pointer SNITCH plagiarism analyzer
CS Education Loosely-Coupled Interdisciplinary Teaching Machine Learning modules Distributed Expertise learning modules
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Department of Computing Sciences 10
ACT Lab Research GroupsApplied Computing Technology Laboratory
Director of Research
Dr. Tom Way
Com. Sci.
Education
High Perf.
Computing
Rehab. Engineeri
ng
Simulation & Tools
Information
Fluency
Databases
Other Groups..
.
Nanotech
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Department of Computing Sciences 11
Back-burner Projects
Nanocompilers & Nanocomputers Using Magic to Teach CS Green Computing Speech Recog. for note-taking Info. literacy using science satire Many other ideas
actlab.csc.villanova.educlick on "Idea Incubator"
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Department of Computing Sciences 12
Student –Ready Projects Sentiment Analysis & Tracking Tremor Filtering Wii Pointer Tremor Quantification Plagiarism detection Fake research paper detection Social network extraction from novels
Machine Learning education modules Google Glass & Machine Learning
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Dr. Mirela DamianProjects
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Ad-Hoc Wireless Topologies
A
B
A
B
TopologyControl
Topology Control: reduce overall power consumption and interference while maintaining
network connectivity.
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Sensor Barrier Coverage
Barrier: chain of overlapping sensors
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Folding and Unfolding Cut along edges/surface to lay flat in the
plane without overlap.
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Object Selection in CG Color Picking (GPU) Ray Picking (CPU)
◦ GPU implementation?
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Dr. Daniel JoyceProjects
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Interests and Projects Department Web Team Lead Programming Team Coach Graduate Independent Study / Grand Challenges Coordinator
◦ http://csc.villanova.edu/academics/gradIS ◦ have contacts/ideas BEFORE your final semester starts
Research Interests◦ Software development/engineering◦ Web programming◦ Security◦ Computer Science Education
Research Project Ideas◦ Collecting and analyzing data related to the software development
process◦ Report on the use of a new technology to create a system, perhaps
comparing it to use of a different technology Development Project Ideas
◦ Camp Registration Site◦ Use of Kinnects
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Prof. Najib NadiProjects
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Systems Programming Systems Administration
◦ Linux◦ Solaris◦ Mac OS X
Web Application Development Current projects:
◦ Systems setup for upcoming programming contest◦ IBM ThinkPad Linux configuration for cityteam
ministries◦ Thin Client performance analysis◦ VU community Dropbox
Interests and Projects
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Dr. Robert BeckA Sampling of Projects
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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• Computational sustainability– Figuring out what this means
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Chronozoom
• Check out chronozoom.com, an open source system for displaying time lines– Create content, and enhance the content creating
process– Develop programs for Big History– Investigate a 3-D timeline in the CAVE
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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
• Map communities as social networks
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UX of Smart Things
• Interacting with the internet of things– Mobile Wallet Worth Having (MWWH)– Apple Watch– Smart home monitoring– Smart driving– Smart touring: QR codes, cell phone tours
• More generally, gesture interfaces
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Web Site Design
• Categories of web sites• Design principles for a particular category• Systematic evaluation against design principles• Automatic measurements
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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
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Cliques, etc
• Finding a maximal clique (largest complete subgraph) in a given simple graph– Fred’s strategy– More generally, strategies for NP-hard problems– Involves creative programming and
experimentation with heuristics
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Dr. Lillian (Boots) Cassel
Projects
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Research interests:Digital Libraries
EnsembleMarconi Museum Library
Computing OntologyResources for computing educationData ScienceInformation and the WebInterdisciplinary Computing
Interested graduate students meet at 1:30 on Tuesday afternoon, Mendel 163Undergraduates welcome then or at other times.
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Well established, but with many opportunities for refinement.
Original funding has ended, so mostly volunteer work at this time.
Opportunities for research projects as we attempt to solve some interesting problems.
Proposals under development to obtain more funding.
Ensemble Computing Education Portal
Computing PortalConnecting Computing Educators
www.computingportal.org
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Marconi Museum◦ We have large collection of pictures◦ How do you make a good representation of
a physical museum on the web?◦ Possible CAVE application, as well as
regular digital library ◦ Initial version complete, but opportunities
for extension continue.
More Digital Libraries/Web Information
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Status◦ Still an interesting problem.◦ On the list of applications to develop for the
CAVE◦ Needs people with good imaginations and
creativity
Computing Ontology
Computing Ontology A complete definition of the computing disciplines, in collaboration with ACM
www.distributedexpertise.org/computingontology
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Earlier and Broader Access to Machine Learning◦ With Dr. Way, Dr. Matuszek, Dr. Papalaskari
Data Science◦ With Dr. Goelman, Dr. Posner (statistics)◦ And colleagues from Winstson-Salem State
University
Educational Resources
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Dr. William Fleischman
Projects
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Ethics Research topics related to ethical issues and
themes Privacy, Surveillance, and Big Data Lethal Autonomous Robotic Weapons Electronic voting Outreach activities
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Dr. Vijay GehlotProjects
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Systems Modeling
• Behind every data there is a process that generates/consumes it
• To effect changes, understating of processes is crucial
• Process mining• Holistic vs reductionist• Systems thinking
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Systems
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Model Components
F ill B a tch P
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Tools/Approaches
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Dr. Don GoelmanProjects
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Databases for Many Majors: Customizable Visualizations to Improve STEM Learning (Dietrich & Goelman) – NSF IUSE project: 9/2014 through 8/2017
Data Computing for All: Developing an Introductory Data Science Course in Flipped Format (Cassel, Posner, Dichev, Dicheva & Goelman) – NSF IUSE project: 9/2014 through 8/2017
Details in next slides
Funded Projects
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Collaborative research with Prof. S. Dietrich, Arizona State University
Enhancement of visualizations for promoting database education to diverse majors
Visualizations from the last grant: intro to relational databases and intro to querying
Add a third visualization: conceptual modeling Add functionality for self-assessment by students Add functionality for educators to customize the setting
to diverse domains (FlashBuilder and ActionScript)◦ Home page:
http://databasesmanymajors.faculty.asu.edu/
Funded Project (NSF DUE - IUSE): Customizable Visualizations
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Collaborative research with Profs. L. Cassel and M. Posner, Villanova University; and Profs. C. Dichev and D. Dicheva, WSSU
Curricular development: an introductory course in data science
Pedagogical development: inverted classroom approach
Research assistance: information gathering and presentation
Funded Project (NSF DUE-IUSE): Data Science Course in Flipped Format
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Dr. Giorgi JaparidzeProjects
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Computational Theory Logic Projects
◦ Computability Logic◦ Cirquent Calculus◦ Interactive Computation
Interests and Projects
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Dr. Edward KimProjects
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Computer Vision Revolution Convolutional Neural Networks (Deep
Learning)
Interests
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Interests
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Academia cannot compete with the data, processing, and human capital of Google/Facebook/Microsoft/Amazon/Apple
How can we improve Computer Vision and Machine Learning?
Interests
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Domain Shift
Interests
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Interests
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x X images and y Y class labels P(x,y) – data distribution at training Q(x,y) – data distribution at deployment P(x,y) ≠ Q(x,y)
P(x|y) = Q(x|y), but P(y) ≠Q(y)
Interests
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Necessity for visual context…
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Context gain from..CRF’s…
Ontologies…
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Dr. Frank KlassnerProjects
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Virtual Reality◦ CAVE◦ Immersive Video◦ Web Experiences
Interests and Projects
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Dr. Anany LevitinProjects
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Anany Levitin
Algorithm design techniques are general strategies for algorithmic problem solving (e.g., divide-and-conquer, decrease-and-conquer, greedy, etc.)
paramount for designing algorithms for new problems provide a framework for classifying algorithms by design idea
Algorithmic puzzles are puzzles that requires design or analysis of an algorithm
illustrate algorithm design and analysis techniques as general problem solving tools (computational thinking)
some puzzles pose interesting and still unanswered questions entertainment technical job interviews
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Anany Levitin (cont.)
Algorithm design techniques projects thinking backward; design by cases how to solve it (G. Polya) vs.
how to solve it by an algorithm
Algorithmic puzzles projects a few specific puzzles (research and visualization) taxonomies of algorithmic puzzles
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Dr. Mary-Angela Papalaskari
Projects
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Artificial Intelligence:◦ Natural language processing
pragmatics conversational agents story telling
◦ Reasoning with incomplete information ◦ Machine learning
Computer Science Education:◦ Earlier and Broader Access to Machine Learning
With Dr. Cassel, Dr. Way, Dr. Matuszek
◦ Teaching and learning computer science through service to the community
◦ Computing for non-CS majors
Interests and Projects
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Prof. Barbara Zimmerman
Projects
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Manchester Mummy Database Database and functioning web interface was
sent to England◦ September 2014
Many researchers have used the Database to request mummy materials from the University of Manchester, UK where the Slides and paraffin blocks are stored
The current work involves collaboration with the users of the materials, such as the University of Zurich
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Mummies on Rails Work is headed up by Ahmad Alam
◦ Ahmad is a Phd student in the University of Manchester, England
His work is entitled Mummies on Rails. He is developing an information systems
framework for archaeologists. We plan to be more involved in this work.
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St. Lawrence Island mummy
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THE CHURCH – 400AD
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Flow from Mummy to Slides
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Dr. Paula MatuszekProjects
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• Artificial Intelligence– knowledge-based systems– ontologies and the semantic web– knowledge capture and sharing– Machine learning
• Natural Language Processing/Text Mining– Computer understanding of natural (human) languages– Finding, extracting, summarizing, visualizing information from
unstructured text• Project
– Broader and Earlier Access to Machine Learning: NSF project to develop machine learning materials for non-computer science students.
Interests and Projects