Mohammad Serkhail Habibi
Tennessee State University
Department of Mechanical and Manufacturing Engineering
Center of Excellence for Battlefield Sensor Fusion
• M.S. in Computer and Information Systems Engineering, USA.
• B.S. in Electronics and Communications Engineering, India.
- Applications Engineer, Boehringer Mannheim, India/Saudi Arabia.
- Project Engineer & System Consultant, DSP Merrill Lynch, India.
- Researcher, Intelligent Tactical Mobility Robotic Laboratory, Tennessee State University.
- Systems Liaison & Interim Data Manager, State of Tennessee.
Visual Analytics (VA) is an emerging technique for logical reasoning using interactive computational methods and visual interfaces. It is a virtual representation of a scenario requiring data processing and transformation. In the realm of Situation Awareness (SA), Visual Analytics play a vital role in all its three levels of perception, comprehension and projection. In the set up for VA interfaces, accurate visualization of sensor data is a crucial first component as often these are in excess of the processing capabilities of humans alone. This combines database management technology, sensory data fusion methods with 2-D/3-D outputs and development of an interactive visual design software. The collected multi-modal sensor data varies in nature based on audio, video and textual sources, hence it becomes important for VA technologies to employ a data management strategy to successfully process and retrieve data. Continuous update and validation by the user in the form of training data is carried out with automated learning algorithm. Interactive visualization builds a model over normal behavior from which users can detect deviations. This method helps build a model where deviations from pattern are easily detected and simulates predicting future behavior. The cognitive refinement achieved with the advances in data mining, information visualization, and computer graphics etc. with the aid of visualization guide the user in decision making process. The generation of hypothesis tends to give rise to a cognitive refinement, which in turn leads to pattern morphing. The entire process makes the visual analytics very interactive; however there is a risk of user being misled easily. Comparing observed data with the threshold level is one of several possible ways to prevent getting misled in this evolving decision support system.
Developed model can be applied for Battlefield Intelligence, Homeland Security applications, Border Monitoring and many other civilian applications.
- Shirkhodaie, A., Elangovan, V., Habibi, M. S., and Alkilani, A., “A Decision Support System for Fusion of Soft and Hard-sensor Information Based on Latent Semantic Analysis Technique”, SPIE Defense, Security and Sensing Conference, Baltimore, MD, April 2013.
- Mohammad S. Habibi, Amir Shirkhodaie, “Mining Patterns in Persistent Surveillance Systems with Smart Query and Visual Analytics”, Geospatial Processing Exploitation and Visualization, SPIE Defense, Security and Sensing Conference, Baltimore, MD, April 2013.
- Mohammad S. Habibi, Amir Shirkhodaie, “A Survey of Visual Analytics for Knowledge Discovery and Content Analysis”, Signal Processing, Sensor Fusion, and Target Recognition, SPIE Defense and Security Conference, Baltimore, MD, April 2012.
- Mohammad S. Habibi, “System Design for Inspection and Quality Control Using Image Processing”, Tennessee State University Research Symposium, Nashville, Tennessee, 2008.
- Mohammad S. Habibi, “A Systems Engineering Approach to Short Term Scheduling for Distributed Generation with Energy Storage in a Generation Network”, Southeastern Symposium on Systems Engineering, IEEE, Jamaica, 2003.
- Mohammad S. Habibi, “Model For Impact Of Storage On Spinning Reserve Requirements And Distributed Generation”, Southeastern Symposium on Systems Engineering, IEEE, Ohio State University, 2001.
Dr. Amir Shirkhodaie
Director, Center of Excellence for Battlefield Sensor Fusion
Tennessee State University
Dept. of Mechanical and Manufacturing Engineering
3500 John A. Merritt Blvd.,
Nashville, TN 37209