Modern Heuristics Research Group - MHRG

Modern Heuristics Research Group (MHRG) is a research group that focuses on theoretical and applied

Our research group focuses on theoretical as well as applied research in Computational Intelligence algorithms, such as Artificial Neural Networks, Fuzzy Logic Systems and Unsupervised Learning techniques. We are applying these methods in areas of Energy, Cyber Security, Human-Machine Interfacing,, Intelligent Control Systems, Software Defined Networks, Robotics, Visualizations and others. Please check the list of publications of our recently published conference and journal papers.

09/12/2017

The Virtual Reality lab of MHRG

Check out the new Virtual Reality Lab in the VCU Engineering Computer Science Dept. on Friday:

09/06/2017

MHRG's machine learning based process optimization for Biomass Process Demonstration Unit at Idaho National Laboratory

Systems Engineering | INL Graduate students Kasun Amarasinghe and Daniel Marino sit in a computer control room watching readouts from a grinder as it devours bale after bale of corn stover.

04/22/2015

Milos Manic, Ph.D., strengthens Computer Science Department with over $300K funding | VCU School... RICHMOND, Virginia (April 21, 2015) – Since joining Virginia Commonwealth University School of Engineering in August 2014, Milos Manic, Ph.D., has secured

04/14/2015

Heavy Vehicle Simulator Idaho National Laboratory Heavy Vehicle Simulator located at the Center for Advanced Energy Studies.

01/30/2014

Prof. Milos Manic (MHRG Director)

Targeted Energy Management Toolsets for Building Managers

01/30/2014

Implementation of tools for increased state awareness of building managers. The tools enable easy to use state awareness with linguistic anomaly detection as well as occupant comfort reporting with subjective and objective data.

References:
D. Wijayasekara, M. Manic, C. Rieger, "Fuzzy Linguistic Knowledge Based Behavior Extraction for Building Energy Management Systems," in Proc. IEEE Symposium on Resilience Control Systems, ISRCS 2013, San Francisco, California, Aug. 13-15, 2013.
http://mhrg.if.uidaho.edu/papers/2013/ISRCS13_WijaManicReiger_TEMSTBehaviorExtraction.pdf

O. Linda, D. Wijayasekara, M. Manic, C. Rieger, "Computational Intelligence based Anomaly Detection for Building Energy Management Systems," in Proc. IEEE Symposium on Resilience Control Systems, ISRCS 2012, Salt Lake City, Utah, Aug. 14-16, 2012.
http://mhrg.if.uidaho.edu/papers/2012/ISRCS2012_LindaWijaManic_CIBEMS_Anomaly.pdf

Read More: http://mhrg.if.uidaho.edu/RS_EnergyR_TEMST.html

Invited Talk NWGN, Japan (2014-01-17) (Network Slicing)

01/30/2014

Invited talk by Prof. Manic at NWGN Japan (January 17th 2014)

M. Manic, "Network Slicing for Emergency Communications," Invited talk, 9th General Assembly Meeting of New Generation Network Promotion Forum (NWGN), Tokyo, Japan, January 17, 2014.

http://nsec.if.uidaho.edu/resources/downloads/2014.01.17_Japan_slides.pdf

http://nsec.if.uidaho.edu/presentations.htm

http://forum.nwgn.jp/meeting/sokai09_repo.html

01/20/2014

01/20/2014

Demonstration of Emergency communication via Network Slicing

http://nsec.if.uidaho.edu/

Network Slicing for Emergency Communications

01/20/2014

Using advanced Software Defined Networking (SDN) to achieve true application visualization for high quality, reliable and controllable emergency communication systems

http://nsec.if.uidaho.edu/