Fadi Alsaleemreadmore

Mechanical Engineering Faculty

Research groups : Mechanical Systems and Robotics/Control , Thermal/Fluid Science

Education

• PhD in Mechanical Engineering, State University of New York at Binghamton, 2009
• MS in in Mechanical Engineering, State University of New York at Binghamton, 2007
• Graduate Certificate in Mechatronics Engineering, American University of Sharjah, 2006
• BSc, Mechatronics Engineering, The Hashemite University,2003

Brief biography

Dr. Alsaleem joined Department of Mechanical Engineering at Wichita State University as an Assistant Professor in 2015 Fall. Prior to this assignment, Dr. Alsaleem worked for four years as a Senior Lead Algorithm Engineer at Emerson Climate technology, a business of Emerson, the world's leading provider of heating, air conditioning and refrigeration solutions for residential, industrial and commercial applications. At Emerson, Dr. Alsaleem responsibilities included developing novel (cloud-based) sensor monitoring and learning algorithms used for fault diagnostics and energy supervision for residential HVAC systems. After he earned his M.S. (2007) and Ph.D. (2009) from the Department of Mechanical Engineering at State University of New York at Binghamton, Dr. Alsaleem joined MicrostaQ Inc. (Austin, TX) for two years as a MEMS Control Engineer. In this role he developed novel control algorithms to control MEMS micro-fluidic valves in energy saving applications for different HVAC and refrigeration systems.
Dr. Alsaleem has been an active researcher in the area of Nonlinear dynamics of MEMS, Smart MEMS, IoT, Smart home, Online monitoring and diagnostics, and Big data analysis. So far he has published more than 30 peer-reviewed conferences and journal papers with a total citation of 400 as of august 2015. Dr. Alsaleem authored and coauthored more than 10 pending and granted patent applications in the area of MEMS adaptive control and cloud based online monitoring and diagnostics.

Research interests

1- Energy and IoT

• Fault detection and online monitoring for HVAC systems
• Smart Thermostat Algorithms
• Smart Home and IoT integration
• Big data analysis and use in energy prediction and optimization
• Big data use in Hybrid Web-based and directly measured data analysis combinations
• Predictive adaptive controller for HVAC systems

2- MEMS

• Nonlinear dynamics of electrostatic MEMS devices and its application in sensing and actuation
• MEMS reliability under the effect of shock load including the effect of squeeze film damping, PCB, and electrostatic force.
• Nonlinear Control in MEMS and use in their stabilization under DC and AC actuation (delayed feedback controller)

3- Multi agent system and its application to robot soccer

Selected publications

1. Alsaleem, F., Abiprojo, R., and Arensmeier, J., HVAC System Cloud Based Diagnostics Model, 15th International Refrigeration and Air Conditioning Conference at Purdue, Perdue university, 2014.
2. Younis, M., and Ouakad, H., and Alsaleem, F., “Dynamic response of an electrostatically actuated microbeam to drop-table test,” J. Micromech. Microeng. Vol.22 (7pp), 2012.
3. Alsaleem, F. and Younis, M., “Integrity analysis of electrically actuated resonators with delayed feedback controller,” Journal of Dynamic Systems, Measurement, and Control, vol. 133 (3), 2011.
4. Power Allocation Towards Hermetic Solder Joint Health of High Powered MEMS Chip for Harsh Environment Applications, S Bhopte, P Arunasalam, F Alsaleem, A Rao, N Hariharan, ASME 2011 Pacific Rim Technical Conference and Exhibition on Packaging, 2011.
5. An experimental and theoretical investigation of dynamic pull-in in MEMS resonators actuated electrostatically,FM Alsaleem, M Younis, L Ruzziconi, Microelectromechanical Systems, Journal of 19 (4), 794-806, 2010.

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