- Adaptive Control of Nonlinear Systems
- Advanced MEMS and NEMS Technologies
- Advanced Control Systems Optimization
- Nanotechnology research and applications
- Molecular Junctions and Nanostructures
- Sensorless Control of Electric Motors
- Quantum-Dot Cellular Automata
- Control Systems and Identification
- Iterative Learning Control Systems
- Control Systems in Engineering
- Advanced Memory and Neural Computing
- Mechanical and Optical Resonators
- Electric Motor Design and Analysis
- Molecular Communication and Nanonetworks
- Quantum Computing Algorithms and Architecture
- Sensor Technology and Measurement Systems
- Control and Stability of Dynamical Systems
- Guidance and Control Systems
- Microgrid Control and Optimization
- Carbon Nanotubes in Composites
- Piezoelectric Actuators and Control
- Mechatronics Education and Applications
- Advanced DC-DC Converters
- Energetic Materials and Combustion
- Semiconductor materials and devices
Rochester Institute of Technology
2015-2025
University of Calgary
2010-2014
Hadassah Medical Center
2008
Indiana University – Purdue University Indianapolis
1997-2003
University of Indianapolis
1997-2003
University of South Carolina
2003
Purdue University West Lafayette
1998-2003
Indiana University Indianapolis
2002
New Jersey Institute of Technology
1998
In his 1959 address, There is Plenty of Room at the Bottom, Richard P. Feynman speculated about manipulating materials atom by and challenged technical community to find ways controlling things on a small scale. This visionary challenge has now become reality, with recent advances enabling atomistic-level tailoring control materials. Exemplifying Feynman’s vision, Handbook Nanoscience, Engineering, Technology, Third Edition continues explore innovative nanoscience, engineering,...
Overview and Introduction New Trends in Engineering Science: Micro- Nanoscale Systems to Design of MEMS NEMS Biological Biosystems Analogies Nano- Microelectromechanical Applications Nanoelectromechanical Synergetic Paradigms Architecture Fundamentals Fabrication Description Basic Processes Microfabrication Micromachining ICs, Microstructures, Microdevices Devising Synthesis AND Motion Classifier Modeling Electromechanical Systems, Devices, Structures Modeling, Analysis, Simulation...
By using the Hamilton-Jacobi framework and sufficiency theory, this paper presents a solution of constrained optimization problem for nonlinear systems with soft hard bounds imposed on control. The developed concept is based application generalized nonquadratic cost, return functions are applied. Necessary sufficient conditions have been used to synthesize bounded controllers, applied verify optimality. solved systems, offered results extend theory by cost. design procedure reviewed in...
This paper investigates evaluation methodologies and machine reasoning schemes to analyze dynamic electromagnetic spectrum. We research practical scalable classification of radio frequency signals across high frequency, very ultra super bands. The multi-band software defined radio, mobile networks, global navigation system receivers accomplish reconfigurable communication. Resilient communication, as well high-fidelity analysis extreme congested spectra, are open problems due challenges in...
Motivated by industry needs, this paper focuses on statistical models, descriptive probabilistic data analysis, and data-prescriptive signal processing in smart inertial sensors. These multimode sensors combine physical cyber components such as solid-state micromachined motion sensing elements, interfacing integrated circuits, middleware, software. We develop consistent algorithms tools based upon cross-cutting engineering science along with substantiation validation. Fundamental, applied,...
The aircraft flight quantities and success of the mission depend to a great extent upon actuator performance, actuators must be designed achieve specified criteria. Electromechanical driven by electric motors have begun displace hydraulic technology in advanced vehicles. In aerospace application, permanent-magnet stepper are perfectly suited due their efficiency reliability, low volume-, weight-, size-to-torque ratios, high power torque densities, cost maintenance, simplicity ruggedness,...
In this paper, the constrained optimization problem is solved for nonlinear discrete-time systems. The Hamilton-Jacobi theory applied to design a new class of bounded controllers, and an innovative nonquadratic performance index minimized. These innovations extend theory. particular, reported framework ensures straightforward analytical numerical results, presented concept significantly reduces computational conservatism conventional methods. It shown that open-loop unstable systems,...
New results and innovative procedures are presented to design nonlinear robust controllers for a class of time-varying systems with uncertain parameters control constraints. The straightforward techniques designing the bounded developed by utilizing theoretical foundations HamiltonJacobi theory L yapunov's method. major contribution is development feasible computationally efficient algorithms stabilize systems. Various aspects recent developments concerning optimization discussed further...