Computational Neuroscience

Challenges:

• Prediction of Brain Disorders
• Classification of Multi-Dimensional Time Series
• Anomaly Detection

Collaborators:

• Rajesh C. Sachdeo, M.D. (St. Peters' University Hospital)
• Panos M. Pardalos, Ph.D. (Industrial Engineering, University of Florida)
• Leonidas D. Iasemidis, Ph.D. (Bioengineering, Arizona State University)

Research Support:

• “CAREER: Novel Optimization Methods for Cooperative Data Mining with Healthcare and Biotechnology Applications,” National Science Foundation.

• “Workshops Connecting Theoretical Computer Science to Other Fields,” National Science Foundation.

• “Conference on Data Mining, Systems Analysis and Optimization in Neuroscience,” DIMACS.

Computational Biology

Challenges:

• Sibling Relationship Reconstruction Problem
• Graph Models for DNA Data
• Clustering of Microarray Expressions Data

Collaborators:

• Tanya Berger-Wolf, Ph.D. (Computer Science, University of Illinois)
• Bhaskar DasGupta, Ph.D. (Computer Science, University of Illinois)
• Mary V. Ashley, Ph.D. (Biological Sciences, University of Illinois)
• Sungchul Ji, Ph.D. (Rutgers Pharmacology and Toxicology)

Research Support:

• “Computational Methods for Kinship Reconstruction,” National Science Foundation.

• “Workshops Connecting Theoretical Computer Science to Other Fields,” National Science Foundation.

• “Workshop on Clustering Problems in Biological Networks,” DIMACS.

Supply Chain and Logistics

Challenges:

• Long-Term Inventory Routing Problems
• Optimizing the Distribution Strategy for Coastal Vessel Transportation
• Mathematical Programming and Heuristics Approaches for the P-Median Location Problem

Collaborators:

• Lei Lei, Ph.D. (Rutgers Business School)
• Hua Zhong, Ph.D. (State University of New York College at Oneonta)
• Anthony Chen, Ph.D. (Utah State University)
• Kevin C. Furman, Ph.D. (ExxonMobil)

Research Support:

• “Workshops Connecting Theoretical Computer Science to Other Fields,” National Science Foundation.

• “Workshop on Computational Optimization and Logistics Challenges in the Enterprise,” ExxonMobil and DIMACS.

Telecommunication

Challenges:

• Path-Diversity Network Routing Problem
• Mathematical Programming and Heuristics Approaches for Robust Routing Strategies
• Network Provisioning Problem for IPTV and Mobile TV Services

Collaborators:

• Meeyoung Cha, Ph.D. candidate (Computer Science, KAIST, Korea)
• Sue Moon, Ph.D. (Computer Science, KAIST, Korea)
• Jennifer Yates, Ph.D. (AT&T)
• Mauricio G.C. Resende, Ph.D. (AT&T)
• Aman Shaikh, Ph.D. (AT&T)
• Carlos A.S. Oliveira, Ph.D. (Industrial Engineering, Oklahoma State U)

Research Support:

• “Novel Combinatorial Optimization Approaches to Support the Future Multicast System in the Internet,” Rutgers Research Council.

Military Operations

Challenges:

• Spatial and Temporal Data Mining
• Time Critical Target Identification

Collaborators:

• Don A. Grundel, Ph.D. (Air Force Base, Eglin FL)
• Kevin O'Neil, M.S. (Air Force Base, Eglin FL)

Research Support:

• “Cooperative Data Mining for Aircraft Munition Sensors,” Rutgers Research Council.

Data Mining, Systems Modeling, Optimization

Challenges:

• Develop New Theoretical and Practical Solution Approaches for the Above-Mentioned Problems
• Combinatorial Optimization and Meta-Heuristics
• Support Vector Machines, Classification Trees
• Statistical-Based Data Mining
• Mathematical Programming for Data Mining Models

Collaborators:

• Panos M. Pardalos, Ph.D. (Industrial Engineering, University of Florida)

Research Support:

• “ISE Start-Up Fund,” Rutgers University.