1. Department of Computer Science & Engineering
Research Overview
Department of Computer Science & Engineering
College of Engineering University of North Texas Denton, Texas, USA

2. Faculty Research Computer Science & Engineering Hardware and Systems
Software and Applications

3. Parallel and Distributed Computing
Systems
Akl
Gomathisankaran
Kavi Fu
Dantu
Networking
Security
Architecture
Parallel and Distributed Computing

4. Intelligent Systems Parberry Swigger Buckles Oh Yuan Caragea Huang
Nielsen
Mihalcea
Natural Language Processing
Machine Leaning and Data Mining
AI and Game Development
Vision and Image Processing

5. Computational Health Sciences
Caragea
Dong
Nielsen Oh
Yuan
Mikler
Computational Epidemiology
Medical BioImaging
Computational Biology
Health Informatics

6. Software Software Engineering Bryce Swigger
Theory and Programming languages
Bryant
Shahroki
Tarau

7. Single-faculty research areas
Others
Single-faculty research areas
GIS (Huang)
VLSI (Mohanty)
Graphics and Numerical Analysis (Renka)

8. Research Faculty Robert Akl, Associate Prof.
Barrett Bryant, Professor and Chair
Bill Buckles, Professor
Renée Bryce, Associate Prof.
Cornelia Caragea, Assistant Prof.
Ram Dantu, Professor
Qun-feng Dong, Assistant Prof.
Song Fu, Assistant Prof.
Mahadevan Gomathisankaran, Assistant Prof.
Yan Huang, Associate Prof.
Krishna Kavi*, Professor
Rada Mihalcea, Associate Prof.
Armin Mikler, Professor
Saraju Mohanty, Associate Prof.
Rodney Nielsen, Associate Prof.
JungHwan Oh, Assistant Prof.
Ian Parberry, Professor
Robert Renka, Professor
Farhad Shahrokhi, Professor
Phil Sweany, Associate Prof.
Kathy Swigger, Professor
Paul Tarau, Associate Prof.
Xiaohui Yuan, Assistant Prof.
Research not described in this document

9. Faculty Research

10. Dr. Robert Akl Research Topics
Load Distribution and Channel Assignment in IEEE Wireless Networks
Routing and Synchronization in Wireless Sensor Networks
Non-uniform Grid-based Coordinated Routing
Anchor Nodes Placement for Effective Passive Localization
Energy-Aware Synchronization
Passive Bistatic Radar using HDTV signals
Load Distribution and Channel Assignment in IEEE Wireless Networks
Position
Associate Professor
Phone
(940)
Balancing the load based on active users
Minimizing congestion at the most congested Access Point (AP)
Channel Assignment based on minimizing co-channel interference
Channel Assignment based on maximizing the SIR at the users

11. Dr. Robert Akl
Non-uniform Grid-based Coordinated Routing in Wireless Sensor Networks
The entire test area is divided into grids.
A coordinator node is elected in each grid.
Energy depletion of nodes is taken into account for load balancing.
To ensure connectivity and efficient usage of node energy, the grid size should neither be too large nor too small.
Position
Associate Professor
Phone
(940)
Anchor Node Placement for Effective Passive Localization in Wireless Sensor Networks
Passive localization: nodes are silent
Advantages:
No external signal source
Works with existing data
Usable for most outdoor applications

12. Dr. Robert Akl
Energy-Aware Synchronization in Wireless Sensor Networks
Reference Broadcast Synchronization (RBS)
Transmissions grow as O(n)
Reception grows as O(n2)
Timing-sync Protocol for Sensor Networks (TPSN)
Transmission and reception grows as O(n)
Large energy savings over RBS for large n
Less efficient for small n
Hybrid Synchronization: RBS best for small networks, TPSN for large networks.
Position
Associate Professor
Phone
(940)
Passive Bistatic Radar using HDTV Signals
Advantages:
Lower cost, no dedicated transmitter
No need for frequency allocations
Covert (receiver) difficult to jam
Virtually immune to anti-radiation missiles
Potential ability to detect stealth targets
Disadvantages
More complicated geometry
No direct control of transmitting signal

13. Dr. Barrett Bryant
• Grammar Inference Technology Applications in Software Engineering
• Component-Based Aspect-Oriented Software Development
• Formalizing the Semantics of Modeling Languages
• A Unified Approach for the Integration of Distributed Heterogeneous Software Components
Position
Professor and Chair
Phone
(940)
• Natural Language Specification Technology for O-O Designs

14. Dr. Renée Bryce
Research Topics: Software testing, including combinatorial testing, test suite prioritization, and test suite reduction
Project: CPUT -Combinatorial-based Prioritization of User-session-based Test suites
Users visit an online store and may utilize the online store in ways that designers and testers did not anticipate so they can make great test cases!
When we have a web application in which all POST/GET requests are stored in a web log on our web serve, we can convert the user visits to test cases.
What happens when the test suites are large? Should we prioritize or reduce these test suites?!
Dr. Bryce’s research looks into novel reduction and prioritization techniques and their implications for different types of systems and test suites.
Position
Associate Professor
Phone: n/a yet
Convert the web logs to a user-session-based test suite.
POST/GET requests
The test suite is large!

15. Dr. Renée Bryce
Research Topic: Computer Science Education – Software Testing
Project: The Bug Catcher Software Testing Competition System
We provide the first Software Testing Competition system!
Consider that programming competitions exclude students that do not have programming experience. We are exploring whether we can engage students that do not have programming experience with software testing competitions that emphasize problem solving.
Position
Associate Professor
Phone: n/a yet

16. Dr. Renée Bryce Research Topic: Software Testing
Project: REU Site: Bug Wars: A Collaborative Software Testing Research Experience for Undergraduates
Bug Wars is an REU site project that exposes students to research on software testing and AI planning through both competition and collaboration.  The intellectual merit of this project includes creating new knowledge about user-session-based testing, model-based testing with AI planning, and the combination of these two techniques as applied to web applications.   A novel feature of this REU is that it encourages both competition and collaboration. The students initially split into two teams that strive to find the most faults in web application systems under test. One team collects, reduces, and prioritizes user-session-based test suites. A second team uses machine learning to build models of the software and AI planning to generate test suites.  Students compete to show the merits of their approach on the same systems by considering the sizes and fault detection effectiveness (FDE) of their test suites.  The students then critically discuss their work and propose combining the different approaches to further improve effectiveness. 
The broader impacts of this research are that twenty-four students over a three-year period have the opportunity to participate in a supportive environment that encourages them to pursue graduate studies in Computer Science. The students are better prepared for graduate school as they gain basic research skills, including the formulation of research questions, design of experiments, critical evaluation, and written and oral communication.
Position
Associate Professor
Phone: n/a yet

17. Dr. Bill Buckles Video Analytics for Traffic Surveillance
Coverage area
New jurisdictions
Response time
MAIN OBJECTIVE:
Autonomously recognized traffic incidents
HOW IT WORKS:
IR capable camera with on-site processor.
Target tracking, event and incident tabulation and communication.
ASSUMPTIONS AND LIMITATIONS:
Power must be available
Line-of-sight communication or repeater stations are necessary
STATUS QUO
Streaming video is monitored in real time by operation staff
QUANTITATIVE IMPACT
Position
Professor
cse.unt.edu
Phone
(940)
Video Analytics
Wireless Communication
END-OF-PHASE GOAL
NEW INSIGHTS
A prototype system has been configured and installed at a test site.

18. Dr. Bill Buckles The Value of Low-density LiDAR
Mission Costs. Data collection is conducted via flights at high altitude covering greater areas.
Production Costs. Less manual input
MAIN ACHIEVEMENT:
Realistic renderings of urban neighborhoods having various complex roof types.
Fusion of aerial imagery
Validation by generating synthetic, noisy LiDAR point clouds
HOW IT WORKS:
The LiDAR point cloud is segmented into sets that correspond to the footprint that roofs project onto the terrain. Using aerial imagery, roof boundaries are more precisely identified.
Roof planes are identified by clustering the normals of roof points. The conjunction of planes correspond to a roof type which is located and reproduced from a database.
ASSUMPTIONS AND LIMITATIONS:
Aerial imagery must be co-registered with LiDAR often accomplished by georeferencing
The roof structure must be a composite of one or more database-resident types
STATUS QUO
QUANTITATIVE IMPACT
Very high density data collection needed and achieved by low-flying or multiple gathering missions
Position
Professor
cse.unt.edu
Phone
(940)
Key insights. (1) Aerial imagery can be employed to compensate for low-density LiDAR data; (2) Prior knowledge of roof models increase accuracy
LiDAR collected for rendering normally is collected at densities more than 5 pts./m sq. Low-density LiDAR (collected for flood plain mapping) is at one point per 5 sq. m.
NEW INSIGHTS
END-OF-PHASE GOAL
Accurate 3D neighborhood models with applications in urban studies and planning
Department of Computer Science & Engineering, University of North Texas | Denton, Texas, USA

19. Dr. Cornelia Caragea
Research Interests: Machine Learning, Knowledge Discovery and Data Mining, Social Network Analysis, Recommender Systems, Bioinformatics and Computational Biology
Projects:
Abstraction-Based Probabilistic Models for Sequence Classification
Recommender Systems and Information Filtering
Sentiment Analysis in Online Health Networks
Identifying Functionally Important Sites in Proteins
Abstraction-Based Probabilistic Models for Sequence Classification
Focused on the design of algorithms for learning accurate and compact predictive models from text and biological sequence data.
Funded by NSF.
Position
Assistant Professor

20. Dr. Cornelia Caragea
Recommender Systems and Information Filtering in Large Digital Libraries
Focused on the design of accurate and scalable document and citation recommendation systems
Approaches:
Matrix factorization approaches that exploit both textual similarity and linkage information
Translation models that translate research articles into references
Extensions of topic models to jointly model the influence of cited authors and the interests of citing authors.
The models are trained and evaluated on the CiteSeer digital library
Sentiment Analysis in Online Health Networks
Concerned with the analysis of the Cancer Survivor Network of the American Cancer Society:
Automatically estimate the sentiment of forum posts, discover sentiment change patterns, and investigate factors that affect the sentiment change
Identify influential users
Position
Assistant Professor

21. Dr. Cornelia Caragea
Identifying Functionally Important Sites in Proteins
Focused on identifying RNA- and DNA- protein interaction sites and post-translational modification sites
Approaches:
Ensemble methods and mixture of experts models, and
The global similarity between bio-molecular sequences, besides the local similarity considered by previous approaches.
Funded by NSF
Position
Assistant Professor

22. Dr. Ram Dantu Research Topics Voice Over IP Security
Navigation in the Dark
Privacy Management in FaceBook & Twitter
Next Generation 9-1-1
Mobile Computing in Emergencies
Safe Driving
Go 15 steps & turn right
Navigation in the Dark
No GPS
Environments
Known and Unknown buildings
Dark and dim lighting
Goals/Solutions:
Building representation as a graph
Developing magnetic maps
Identifying landmarks, guideposts and obstacles indoors
Classifying different corridors and rooms based on magnetic profiles, context aware
Navigation using routing algorithms
Incorporate landmark and obstacle information
Voice Over IP Security
Spam Detection
Preventing/Detecting DoS Attacks
Authentication
Voice Firewalls
Telephone Telepathy
Toll Fraud
Position
Professor
Phone
(940)

23. Dr. Ram Dantu Privacy Management in FaceBook & Twitter
Problem with online social network
Privacy
Dynamic content privacy
Solution
Privacy boundaries
Social closeness analysis
Profile
Behavior
Social graph
Next Generation 9-1-1
Provides call taker with remote access to the mobile phone
Provides first responders with vital information to direct until help arrives
Position
Professor
Phone
(940)
Creating boundary

24. Safety of the Driver and the Passenger
Dr. Ram Dantu
Mobile Computing in Emergencies
Mobile controlled CPR – emergency procedure to allow blood flow
Requires training
100 chest compressions per minute
1.5 to 2.5 inches depth
Measuring vital signs such as heart rate, respiration, blood pressure
Safe Driving
Am I getting a better ride from my vehicle?
Health of my vehicle?
Health of road?
How safe is the ride?
Vehicle Comfort
Position
Professor
Phone
(940)
Safety of the Driver and the Passenger
Road Condition
Health of the Vehicle

25. Dr. Qunfeng Dong Research Topics
Mining High-Throughput Biological Data
Developing Bioinformatics Computational Software
Position
Assistant Professor
Phone
(940)
Current projects
The Urethral Microbiome in Adolescent Males (NIH )
Lung Microbiome and Pulmonary Inflammation/ Immunity in HIV Infection (NIH )
Cloud Computing to Support Data-Parallel Health Research (NIH )
Other new projects at
The Urethritis Microbiome Project
The Ocular Microbiome Project
The Urinary Tract Microbiome Project
The Tick Microbiome Project

26. Dr. Qunfeng Dong
Due to rapid advance of DNA sequencing technologies, we are now able to study how bacteria living in human bodies impact our health.
Example: phylogenetically-based principle component analysis (left) and heatmap clustering (right) from our studies shows that the microbial communities are different in healthy males and men who have sexually transmitted infections.
Health: red, STI: blue
Position
Assistant Professor
Phone
(940)
Vast amount of DNA sequence data also present computational bottlenecks.
We are developing bioinformatics tools based on HPC resources (grid and cloud computing) for large data sets.

27. Dr. Song Fu Research Topics
Dependability assurance and energy saving for large-scale networks
Reliability: Explore statistics among failure events
Availability: Combine reliability estimates with reconfiguration technologies
Energy efficiency: Profile and analyze power consumption in real systems
Proactive failure management
Failure-aware resource management
Intelligent power management for green computing
Autonomic anomaly identification
Proactive failure management for dependable networked computer systems
Position
Assistant Professor
Phone
(940)
Hierarchical failure prediction
Failure predictions of high accuracy in production grid system.
Spatio-temporal correlations among failure events

28. Dr. Song Fu
Failure-aware resource management exploits reliability status in system reconfiguration
Distributed virtual machine computing infrastructure
Data centers with virtualization
High job completion rate with achievable failure prediction accuracy.
Position
Assistant Professor
Phone
(940)
Intelligent power management for energy-efficient networked computer systems
Profiling power consumptions under various configurations
Analysis and modeling of power dynamics
Online learning for energy-aware resource management with reconfiguration support
Dynamics of power consumption with different system/node configurations.

29. Dr. Song Fu Data mining framework for autonomic anomaly identification
Collecting of health-related performance data
Autonomic analysis and anomaly identification
Large networked computer systems generate voluminous health-related data  autonomic analysis is needed.
Data cleaning
Dimensionality reduction: PCA, MI
Outlier detection
Verification by system administrators
Position
Assistant Professor
Phone
(940)
Lift chart on outliers with the proposed anomaly identification framework

30. Dr. M. Gomathisankaran Research Topics:
Design and develop computer systems architecture to provide
Isolated execution environment
Trust guarantee independent of system software
Minimal or no impact on performance
Verification mechanism for varied trust models
Building blocks for secure execution environment
vBASE: Virtualization Based Secure Execution & Testing Framework
Position
Assistant Professor
Phone
(940)

31. Dr. M. Gomathisankaran Arc3D: Architecture for 3D Obfuscation
what (contents), where (address) and when (time)
Exploit program characteristics
Lightweight cryptographic functions
Maya: A Novel Block Encryption Function
A block cipher function that is efficiently implementable in hardware
Improved security/gate parameter
Use the keys to choose the S-Boxes, thus achieving low complexity with higher security
TIVA: Trusted Integrity Verification Architecture
Integrity verification as-and-when required with respect to predefined snapshot image
Challenge-response based
Shared secret between the verifier and the device
Fast and efficient
Position
Assistant Professor
Phone
(940)

32. Dr. Yan Huang Research Topics:
Information processing and data mining for emerging applications, e.g. spatial, spatial-temporal, streaming, web, and sensor databases.
Both fundamental and applied research and development
Application domains include environmental monitoring, transportation, and hazard monitoring, and emergency responses.
Geo-stream Processing
Location Privacy
Spatial-temporal Data Mining
Position
Associate Professor
Phone
(940)
Geo-stream Processing - infrastructure
Provide near real-time data on environmental conditions in the State of Texas using ground based network of observatories.
Provide cyber infrastructure to make these data readily available to the public and amenable to modeling, analysis and synthesis.

33. Dr. Yan Huang Location Privacy Geo-stream Processing – database system
Build an integrated and real-time geo-stream processing and monitoring system with an expressive query language.
Geo-stream algebra
Generalized aggregation functions
Operator scheduling
Position
Associate Professor
Phone
(940)
Location Privacy
Client needs location based service but wants privacy & anonymity
Location can be associated with user identity
Correlation attack
Private Group-nearest Neighbor Query: secure multi-party computation framework of cryptography
Hybrid Spatial Cloaking Approach – faster response time

34. Dr. Yan Huang Spatial-temporal Data Mining
Privacy Preserving Nearest Neighbor Query
Two Level Cryptographic Protocol
Private information retrieval
Oblivious transfer
No location privacy leakage
Ensure server does not release more information than is required
Moving Groups
Spatial-temporal Data Mining
Trip destination prediction
Modeling moving groups and fast mining algorithms for merge, split, join, leave etc.
Map matching for low sample rate GPS
Position
Associate Professor
Phone
(940)
Trip destination prediction
Map Matching

35. Dr. Rada Mihalcea Research Topics: Natural Language Processing,
Information Retrieval, Applied Machine Learning
Lexical semantics
Multilingual subjectivity and sentiment analysis
Construction of a large multilingual semantic network for text processing applications
Text summarization for books
Keyword extraction
Other projects
Lexical semantics
Concerned with the automatic understanding of the meaning of text
pipe?
Required for automatic translation, search engines, assists second language learners
Approaches
Multilingual word sense disambiguation
Monolingual and cross-lingual lexical substitution
Text-to-text and text-to-image similarity
Funded by NSF CAREER award ( )
Position
Associate Professor
Phone
(940)

36. Dr. Rada Mihalcea Multilingual subjectivity and sentiment analysis
Concerned with the identification of opinions in text
Positive? Negative?
I my iPhone
I hate waking up at 7am
love Important for automatic analysis of political opinions, product reviews, market research
Approaches:
Subjectivity sense labeling / subjectivity word sense disambiguation
Multilingual opinion mining and analysis
Funded by NSF ( ), collaboration with Jan Wiebe, U. Pittsburgh
Position
Associate Professor
Phone
(940)
A Large Multilingual Semantic Network for Text Processing Applications
The driving hypothesis is that the structure of Wikipedia can be effectively used to create a highly structured graph of world knowledge in which nodes correspond to entities and concepts, while edges capture ontological relations
Funded by NSF ( ), collaboration with Razvan Bunescu from Ohio U.
JOHN WILLIAMS
En: John Williams
Fr: John Williams
De: John Williams
CONDUCTOR
En: conductor
Fr: chef d’orchestre
De: Dirigent
ORCHESTRA
En: orchestra
Fr: orchestre
De: orchester

37. Dr. Rada Mihalcea Text summarization for books Keyword extraction
Graph-based algorithms for finding important information in text
Domain specific summarization
Keyword extraction
Supervised and unsupervised algorithms
Back-of-the-book indexing
Keywords for metadata annotation of learning objects
Funded by two Google grants (2005, 2008)
Other projects
Text mining for historical newspapers
Funded by NEH ( )
Emotion analysis in text
Computational humour
Text-to-picture synthesis
Position
Associate Professor
Phone
(940)

38. Dr. Armin R. Mikler Research Topics: Computational Epidemiology
Disease Outbreak Models
Studying the Dynamics of Regional Epidemics
Response Plan Analysis
Design of a High-Performance Computational & Visualization Environment
Modeling the Spread of Malaria
How the Impact of Seasonality on the Sporogonic Cycle of Plasmodium Falciparum Parasite Affects the Spread of Malaria
Position
Professor
Phone
(940)
Global Stochastic Contact Model

39. Dr. Armin R. Mikler Affinity Driven Interaction Networks Position
Professor
Phone
(940)

40. Dr. Armin R. Mikler
From Data to Discovery Visualization in Computational Epidemiology and Response Analysis
Position
Professor
Phone
(940)

41. Dr. Saraju P. Mohanty
Research Topics: Design and CAD for Low-Power High-Performance Nanoscale VLSI
Power, Leakage, & Timing Modeling &Optimization for Nanoscale VLSI
Design and CAD for Nanoscale Digital and Analog/Mixed-Signal Circuits
VLSI Architecture for Multimedia Processing
Process, Voltage and Temperature (PVT) variations have a profound impact on high-k/metal-gate nano-CMOS technology based circuits.
Position
Associate Professor
Phone
(940)
Subthreshold leakage
GIDL
Propagation delay
PVT plots for probability density functions (PDFs) of subthreshold leakage, GIDL and delay for a high-κ/metal-gate nano-CMOS 32nm technology based NAND logic gate.

42. Dr. Saraju P. Mohanty
PVT-Aware RF-IC design flow meets specifications in one iteration:
90nm CMOS VCO Layout
Position
Associate Professor
Phone
(940)
Design Flow
Secure Digital Camera (SDC) provides real-time multimedia security:
AMS-SoC Architecture of the SDC

43. Funded by an IES Cognition and Student Learning award (2011-2014)
Dr. Rodney Nielsen
Basic Research
Natural Language Processing
Understanding & Generation
Machine Learning
Semisupervised & Active Learning
Cognitive Science
Human Learning Theory
Applied Research
Companionbots
Dialogue, Perception, Emotion, Learning
Educational Technology
Question Generation, Semantic Analysis
Health / Clinical Informatics
Question Answering, Data Mining
Dialog-based End-User SW Engineering
Computational Thinking, Robot Instruction
Educational Technology
Comprehension SEEDING
Self-Explanation: Students express conceptual understanding via browser-enabled devices
NLP-Enhanced Discussion: Semantic clustering of responses relative to ideal answer; intelligent presentation of analysis to facilitate discussion
INquiry Generation: based on response analysis, encouraging teacher and students to think about a broad spectrum of deep-reasoning questions
Research Question
What NLP research & learning theory will effect learning gains similar to one-on-one tutoring in a cost effective classroom setting?
Position
Associate Professor
Phone
(940)
Funded by an IES Cognition and Student Learning award ( )

44. Funded by an NSF Smart Health & Wellbeing award (2011-2015)
Dr. Rodney Nielsen
Companionbots
Spoken-Dialogue Health & Wellbeing Companion Robots
Perceptive, Emotive, Self Learning and Distributed Collaborative Learning
Research Questions
Can dialogue with an embodied agent help those suffering from depression?
Can Companionbot dialogue encourage the mental and physical activity that leads to the retention of healthy cognition
Position
Associate Professor
Phone
(940)
Goals
Maintain independence / Age in place
Improve quality of life
Reduce cost of care
Funded by an NSF Smart Health & Wellbeing award ( )

45. Dr. JungHwan Oh GPU Analysis of Medical Videos Research Topics:
Abnormal Image Detection Using Texton Method in Wireless Capsule Endoscopy Videos
Measuring Objective Quality of Colonoscopy
Informative Frame Classification for Endoscopy Video
Real-Time Phase Boundary Detection in Colonoscopy Videos
Position
Assistant Professor
Phone
(940)
Abnormal Image Detection Using Texton Method in WCE Videos

46. Dr. JungHwan Oh Informative Frame Classification for Endoscopy Video
Measuring the Objective Quality
of Colonoscopy
Informative Frame Classification for Endoscopy Video
Position
Assistant Professor
Phone
(940)
Loop until no more video signal is coming in
Compute Current DCM
CADCM = CADCM + Current DCM
If CADCM > Max. DCM, then Max. DCM = CADCM, and the temporary End of insertion time = the current time
Otherwise, Compute a difference between the temporary End of insertion time and the current time.
If this difference is greater than a threshold (TE), the temporary End of insertion time is returned as the detected duration of insertion phase.
Previous DCM = Current DCM
Real-Time Phase Boundary Detection in Colonoscopy Videos

47. Dr. Ian Parberry
Research Topic: Procedural content generation, the fast, controllable, random generation of assets for game development
Fast: Use a fraction of CPU, GPU to render at 60fps
Controllable: Parameters are intuitive to designers
Random: Structured yet chaotic in interesting ways
For example,
Clutter generation using Petri nets
RPG quest generation
Computational economics for RPGs
Procedural interactive fire
Position
Professor
Phone
(940)
Clutter generation using Petri nets
Procedurally generated clutter makes similar rooms different enough to keep gameplay from getting repetitive.

48. Dr. Ian Parberry RPG quest generation
Quests for role playing games (RPGs) may be abstractly represented using a small expressive language
Procedural quest generation by using this abstraction first and then converting them into a concrete form within the game's domain
Position
Professor
Phone
(940)
Computational economics for RPGs
An economic model for use in RPGs that automatically determines
prices for multiple goods
supply and demand for each NPC
an allocation of NPCs to roles.

49. Dr. Ian Parberry Procedural interactive fire
Fire that interacts with objects
Fire spreads and objects are deformed by the heat and consumed by the flames
GPU implementation using CUDA
Computed in real time at 60fps
Position
Professor
Phone
(940)

50. Dr. Robert Renka Research Topics: Scientific Computing
Numerical solution of nonlinear partial differential equations
Geometric modeling and computer-aided geometric design
Curve and surface fitting
Mathematical software
Finite element methods for treating the incompressible Navier-Stokes equations (governing fluid flow) in 2D
Operator-splitting method for the unsteady case
Least-squares method for the steady-state solution
Automatic mesh generation based on Delaunay triangulation and other methods
Position
Professor
Phone
(940)
Variational level set methods for image segmentation (used to locate faces, tumors, tanks, etc. in images)
Fast methods for both edge-based and region-based segmentation
Implicit representation of boundaries allowing arbitrary topology
NSA funding

51. Dr. Robert Renka Ginzburg-Landau model of superconductivity
With J. W. Neuberger
Finite-difference codes for 2-D and 3-D domains with holes
C/OpenGL codes for visualizing solutions: contour plots, surface plots, quiver plots, etc.
NSA funding
Shape-preserving curve fitting and curve design
Method based on exponential tension splines with automatic selection of optimal tension factors
Methods based on minimizing variation of curvature subject to linear and nonlinear constraints
User-friendly interactive Matlab codes
Scattered data fitting
Fitting surfaces to data points with arbitrarily distributed abscissae
Methods for abscissae in the plane, surface of a sphere, and higher dimensional spaces
Triangle-based methods and Shepard methods
Treatment of constraints such as convexity
Position
Professor
Phone
(940)

52. Dr. Farhad Shahrokhi Research Topics: Results:
Graph theoretic tools for computationally intractable problems in Geometric Information Systems (GIS) , Computational Geometry, Facility Planning and Wireless Computing
Cover a given set of points in the plane with a minimum number of unit discs (wireless network design)
Given a set of rectangles in the plane find largest set of non-intersecting or disjoint rectangles (GIS).
Given a set of discs in the plane, find the minimum number of points to pierce them (facility planning).
Position
Professor
cse.unt.edu
Phone
(940)
Results:
Exact algorithms: Our algorithms solve these NP-hard problems exactly in sub exponential time; Order of n to the power of square root of the optimal solution. This significantly improves the time complexity of the best known existing algorithm.
Approximation algorithms: The exact algorithms are used to design approximation algorithms that significantly improve the performance of the existing approximation algorithms

53. Dr. Philip H. Sweany Research Topics:
Developing algorithms and software for open-source compiler retargeted for single-chip heterogeneous multiprocessors
Current projects include mapping Android to OMAP 4 platform, completing limit study of thread-level parallelism in imperative programs
Hy-C tools
Map imperative code to hybrid architectures that include multiple CPU and FPGA resources on chip
Partition C code among heterogeneous resources
Map Android to OMAP
Use gcc, gcj to build control and data dependence graphs (CDDGs)
Heuristic partition of CDDGs to map to OMAP hardware
Position
Associate Professor
Phone
(940)

54. Dr. Kathleen Swigger Research Topics:
Examining factors that affect the performance of global software development learning teams, including culture, size, time, and geography
What are the temporal and communication patterns of distributed teams and are they affected by culture, grade, and task?
Communication Patterns of High versus Low Performers
High performing teams have more communication
High performing teams have more “contributing” behaviors
Temporal Patterns of Teams by Project
Time and culture impact temporal patterns
Temporal patterns change over course of project
High-performing teams start working earlier
Factors Affecting Team Performance:
Culture was a strong predictor
Experience was a strong predictor of success
Cohesion was strong predictor of success
Students with greater “overlap” time did not do better
Position
Professor
Phone
(940)

55. Dr. Xiaohui Yuan Research Topics:
Learning from large, dynamic data sets
Automatic anomaly frame detection in capsule endoscopy video analysis
Three dimensional model construction from volumetric data
Urban reconstruction by fusing LiDAR and satellite imagery
3D model reconstruction from MR/CT scans
Image and text mining
Literature mining for biomarker discovery
An incremental geometric SVM to learn from large, dynamic data
When new samples become available, they will be used together with the samples in the convex skin. This results in a small number of instances in the learning process.
Advantages
Computational efficiency
Linearly non-separable classification
Competitive sensitivity and specificity
Position
Assistant Professor
xiaohui.yuan
@unt.edu
Phone
(940)
Linearly non-separable cases using different kernels. Color and shade depict distance to the classifier.

56. Dr. Xiaohui Yuan
Automatic Detection of Bleeding Frames from Capsule Endoscopy Videos
Our method selects training examples
randomly according to the data distribution
clustering.
Multiple data sets are created to restore
data balance and train base classifiers.
Performance-based weight is computed and the
prediction is made by aggregating decisions from the ensemble.
Position
Assistant Professor
xiaohui.yuan
@unt.edu
Phone
(940)
Fusion of Multi-Planar Images for Improved Three-Dimensional Object Reconstruction
Short image acquisition time
Sparse slide sampling
Demands for accurate volume estimation
Model dynamic pathology process
Fusion of multiple models created
from orthogonal image sets
Modeling angiogenesis process and
volume changes in human tongue

57. Dr. Xiaohui Yuan
Urban Segmentation and Modeling From Sparse ALSM Data Via Spatially Constrained Model-Driven Clustering
Low spatial resolution
Insufficient discriminative feature
Absorption rates of water and asphalt are very high
Sparseness is computed from ALSM data followed by
modality analysis.
Clustering is performed with ALSM & photographic imagery.
Sites are recruited within a spatial vicinity,
and likelihood is used for model compliance.
Position
Assistant Professor
xiaohui.yuan
@unt.edu
Phone
(940)
Literature Mining for Biomarker Discovery
With the advance of biological and computational techniques, studies produce huge amount of results
A steady increase of biomedical data
bases and genome data
Reviewing published results to infer
latent information is time consuming
Extract image features via textual
guided learning
Protein interaction network provides
an intuitive data mining tool