No.

Name

Research interests

1

Mortaza Aliasghary

1. Intelligent Control: Leveraging artificial intelligence, machine learning, and fuzzy logic to design controllers for complex and uncertain systems.

2. Robust Control: Developing control systems that maintain performance despite uncertainties and disturbances in the system model.

3. Optimal Control: Designing controllers that minimize or maximize a specific performance criterion, often using techniques like the Linear Quadratic Regulator (LQR).

4. Adaptive Control: Creating systems that adjust their parameters in real-time to handle changes in system dynamics or operating conditions.

5. Nonlinear Control: Addressing control challenges in systems that do not follow linear dynamics, using advanced mathematical tools.

6. Model Predictive Control (MPC): Using real-time optimization to predict future system behavior and adjust control actions accordingly.

7. Distributed Control: Designing control strategies for large-scale systems with multiple interconnected subsystems.

8. Autonomous Systems: Developing control algorithms for self-driving vehicles, drones, and other autonomous platforms.

9. Control of Renewable Energy Systems: Optimizing the performance of wind turbines, solar panels, and other renewable energy systems.

2

Mohammad Hossein Amrollahi

3

Hadiseh Babazadeh

1. Microelectronics:

            Clock and Data Reconvey Circuits

            RF Circuits

            Data Converters

2. Robotics

            Design and implementation of Robotic Arms

            Optimization of Robotic Manipulators nursing AI

4

Robabeh Ebrahimi

1. Model predictive control

2. Fault tolerant control

3. Bilateral teleoperation system control

4. Passivity based control. Robotic

5

Arash Esmaili

1. Readout circuits for capacitive sensors

2. Analog to Digital and Digital to Analog Converters

3. Data Transmission and Clock and Data Recovery

6

Nematollah Ezzati

1. Wireless communication systems

2. Adaptive networks

3. Artificial intelligence in signal processing and communication systems

4. Sar & Isar radar systems

7

Hashem KalbKhani

1. Wireless communications

2. 6G

3. Machine learning

4. Biomedical signal processing

5. Computer-aided diagnosis

8

Sarang Keziminia

1. Analog integrated circuit design

2. Digital integrated circuit design

3. Analog-to-digital converters (ADCs)

4. Digital-to-analog converters (DAC)

5. Phase locked loops (PLL)

6. Delay locked loops (DLL)

7. Time-to-Digital converters (TDC)

8. Dead-zone free phase detectors (PD) and phase-frequency detectors (PFD)

9. Analog amplifiers

10. Sample-and-hold architectures

11. FPGA design and programming

12. Verilog system description

13. Mechatronics system design

14. Sun tracker system design

9

Sara Mihandoost

1. Signal processing for vital signals such as EEG, ECG, PCG, and others, focusing on enhancing the accuracy and efficiency of signal analysis techniques.

2. Statistical data processing to extract meaningful insights from complex datasets, enabling better decision-making and predictions.

3. Development of advanced signal processing algorithms aimed at improving the performance and reliability of systems used in medical, industrial, and communication applications.

4. Image processing and retrieval techniques, including methods for extracting relevant features from medical and scientific images, enabling efficient image analysis and classification.

5. Smart prediction of nanoparticle characteristics in microfluidic channels, particularly in the context of optimizing nanoparticle behavior for applications in drug delivery and diagnostics science.