::::::::::::: Projects :::::::::::::

Automatic Web Service Composition (08/2005 - Present)
(Directed by Dr. Prashant Doshi, major professor)

Demo Video URL: http://www.haibozhao.com/HaleyDemo/

An End-to-End, Scalable Web Service Composition Tool
Haibo Zhao, Prashant Doshi, Developers Track, W3C 17th International World Wide Web Conference, WWW, Beijing, 2008 (Link)

Haley: A Hierarchical Framework for Logical Composition of Web Services
Haibo Zhao, Prashant Doshi, IEEE International Conference on Web Services
(Research Track, ICWS07, Salt Lake City, Utah) (acceptance=18%)

A Hierarchical Framwork for Composing Nested Web Processes
Haibo Zhao, Prashant Doshi, International Conference on Service Oriented Computing (ICSOC06, Chicago, IL) (acceptance: 34/200 = 17%)

Composing Nested Web Processes using HSMDP
Haibo Zhao, Prashant Doshi, AAAI 2006 Workshop on AI-Driven Technologies for SOC(AAAI06, Boston, MA)

Responsible of major research, architecture design and system implementation

(1) Extend Semantically Annotated WSDL(SAWSDL) to support precondition and effect description in SWRL. The framework enables first order logic based functional descriptions (Preconditions/Effects) and important nonfunctional descriptions like invocation cost, response time and service reliability as in WS-agreement

(2) Extend classical Semi-Markov Decision Processing(SMDP) model into First-order SMDP model and design a stochastic AI planner to automatically compose Web services into BPEL business processes. Our stochastic planner is so far the only planner which has the capacity to capture the uncertainty, functionality, QoS property and optimality of Web services and BPEL business processes

(3) HALEY employs a hierarchical framework to handle the hierarchies usually found in business processes and address the scalability issue which many planning based approaches suffer from

(4) HALEY is an automated, scalable, efficient and end-to-end semantic Web service composition framework. It naturally models uncertainty nature of Web services, takes into consideration both functional and QoS descriptions of Web services and provide a cost-based optimization of the generated business processes. Our experiment results show that it has stronger express power and produces significantly better BPEL processes than other contemporary approaches, especially in uncertain and dynamic business environment.

NFSMS: National Feral Swine Mapping System (May. 2007 - Present)

URL: http://www.feralswinemap.org

Responsible of project management, solution and architecture design, system implementation

(1) 4-tier Web application architecture, Data Access Layer including Object-Relational Mapping and Connection pooling, JSP/Javascript/AJAX based Presentation layer to improve user experience and validate form data, XML/XML Schema based data validation and exchange

(2) NFSMS is an interactive digital mapping system to monitor the distribution of feral swine in US. Via NFSMS, state agencies intuitively draw regions on the map to report new swine observations and population changes; System administrator evaluates agency submissions, update the distribution map, monitor swine distribution changes and produce distribution map over time. This system can be easily modified to monitor the distribution of any animal or disease

LFY - A Google-based People Search Engine ( 01/2006 - 05/2006)
(with Haibao Tang)

Project Proposal
Project Report
Project Demo: http://www.haibozhao.com:8080/mlProject

Responsible of architecture design, engine implementation, system integration and testing

(1) Web content mining, Text corpus Building and Frequency analyzing, Implement a Bayesian learning based people search engine

(3) Enhance Google searching on people classification and text categorization. Given a person's name, we can search for it in GOOGLE and get a huge number of results, but these results are normally not about the same person because so many people have the same name. It is annoying and difficult to identify what web pages are really about the person you are looking for. Bayesien learning is utilized by our project to classify these results into groups like Athletic, Professor, Business Man, Office Worker, Government Employee, Actor, Dancer, and Singer.......

Cuadro: A semantic photo sharing community ( 08/2005 - 12/2005)
(with Pablo N. Mendes)

Project Statement

Cuadro is a semantic web based website to store, sort, search and share your photos online. By cuadro, uses can easily organize and share their huge number of photos with their family and friends, or the whole world if they want. Cuadro provides an integrated environment to annotate photos by generating semantic metadata of photos. Semantics is introduced into this application so that we can better describe all these photos and organize them by relationships. This means much more than just holding a digital image in a server and showing it on a web browser for users. Cuadro intuitive photo sharing system helps the user to describe the meaning of the photo contents, allowing for organizing and searching pictures based on the meaning of its contents, not only on the name the user provided

The system enables the association of photo descriptions with a computer interpretable representation capable of expressing the conceptual relations between entities in the real world. By navigating through the conceptual relations, the system can automate basic steps on picture description, sharing and interlinking, bringing live the real community.

Ontology Visualization (01/2005 - 05/2005)
(with Ravi Pavagada, Justin Milligan, Joe Dawley)

Project Statement

This tool is desinged for end users who are interested in viewing specific regions in the ontology. The tool would have a class tree view and property tree view as in protégé. This tool would be very useful for the end users who are interested in viewing specific regions in the ontology. The user will be viewing the condensed instance graph initially. The tool would have a class tree view and property tree view as in protégé. The user would be able to choose a node and or property (relationship) from the instance graph either from the instance and property view or by other ways of providing input (could be a dialog box or through a select option in popup menu when right-clicked on a node or property). The user would be able to view all paths that the selected property was involved between any two nodes selected. Hence, the tool would help to find out the semantic associations between any two entities.

MDGA - Motif Discovery Using Genetic Algorithms (08/2004 - 12/2004)
(with Dongsheng Che, Yinglei Song)

Project Report

In this project, we proposed an approach that can be used to computationally detect the binding site motifs on the upstream regions of genes. Based on the generic framework of a genetic algorithm, the approach explores the search space comprised of all possible combinations of starting locations of the binding site motifs in all the target sequences with an evolving population. Individuals in the population may stochastically participate in the evolution procedure which includes crossovers and mutations. Our experiments demonstrated that, compared with other approaches that use the Gibbs sampling algorithm, an improved level of prediction accuracy was observed using our approach. More importantly, the running time needed in our approach is independent of the length of target sequences and thus can be significantly reduced when the target sequences become very long.

Realtime System Scheduling (Restricted EDF) (12/2004 - 5/2006)
(RA directed by Dr. Shelby Funk)

Project Statement

Normally, a real-time OS needs to deal with both real-time jobs and background jobs. Different strategies (FF, LF, BF, WF) can be applied in R-EDF to schedule real-time jobs; background jobs can also be scheduled in many different ways. Different scheduling methods will give us very different response time for background jobs. So, the objective of this project is to find out the best strategy which gives us the shortest response time of background jobs without missing any real-time deadline ......