Neal Wagner, Ph.D.
Technical Staff
Cyber Analytics and Decision Systems Group
MIT Lincoln Laboratory
244 Wood Street
Lexington, MA 02421 USA

Phone: +1-781-981-5500
Email: neal.wagner@ll.mit.edu

Research Interests:

Evolutionary Algorithms, Agent-based Modeling and Simulation, Computational Forecasting, Cyber Security, Complex Systems, Adaptive Business Applications

Evolutionary algorithms (EA) use Darwin’s Theory of Evolution (“survival of the fittest”) as a model for creating programs that can “evolve” solutions to a given problem. Often they are used for difficult real-world problems where the number of potential solutions is too large for standard (deterministic) techniques. EA encompasses several evolution-based methods including genetic algorithms, genetic programming, evolutionary programming, etc. For more information on EA, check the following website published by the American Assoc. for Artificial Intelligence (AAAI).

Vita:

My dissertation work was done under the supervision of Dr. Zbigniew Michalewicz, a pioneer in the field of EA. The research included the development of an adaptive method based on genetic programming for forecasting time series produced by dynamically-changing environments.
Here is my CV.

Here are some pictures of my family.

Last updated September, 2016