Engineering Mechanical

Peyman Yousefian

Laboratory for Control and Information Systems

Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, USA

T: +1-202-***-****, E: ******@***.***

EAD work Authorization, Approved for Green Card, Available starting July 30, 2018.

Multi-disciplinary engineer and efficient team worker with leading experiences. Capable of using creativity and diverse range of engineering experience to explore solutions to a variety of problems. Experienced in product/system development, production, systems engineering, test, reliability and failure analysis, biomedical devices control engineering, automation, robotics, mechatronics dynamics, vibration, structural design data analysis, machine learning, deep learning, computer vision, software design signal processing, system ID, modeling .

Education

-Ph.D. in Mechanical Engineering, University of Maryland, College Park 2018 (Expected)

Focus: Biomedical Devices, Artificial Intelligence GPA: 3.80/4

-M.Sc. in Mechanical Engineering, University of Maryland, College Park 2018

Focus: Reliability Engineering GPA: 3.80/4

-Ph.D. in Mechanical Engineering, Sharif University of Technology, Tehran 2016

Focus: Electromechanical Systems

-M.Sc. in Mechanical Engineering, Sharif University of Technology, Tehran 2012

Focus: Control Systems Engineering

-B.Sc. in Mechanical Engineering, AmirKabir University of Technology, Tehran 2010

Focus: Mechanical Systems Design GPA: 3.75/4

-B.Sc. in Applied Physics, AmirKabir University of Technology, Tehran 2010

Focus: Electromagnetics, Optics GPA: 3.80/4

Experience

Research Assistant, Laboratory for Control and Information Systems, University of Maryland, College Park 2016-Present

Wearable Biomedical Device Development, “Samsung Electronics Co”

As the PhD thesis, I developed a cardiovascular monitoring wrist band. The project included: (1) conceptual design of the wrist band, (2) troubleshooting and debugging prototype hardware/software, (3) human subject experiments, (4) data acquisition, signal processing, and statistical analysis (5) physics based modelling and algorithm development (6) Machine learning based algorithm development. My work resulted in a health monitoring method that is patented and would be used by Samsung. Some details are as follow:

-Conducted signal processing on physiological signals (ECG, PPG, BP, BCG). The techniques are signal filtering and resampling, baseline wandering removal, constant and adaptive signal segmentation, detection of artifacts, and various averaging techniques.

-Designed decision function (classifier & finite state machine modules) to assess the signal quality.

-The set of features that is used include statistical features, frequency features, features obtained by interval or period analysis, entropy-based features, features extracted after application of the Wavelet Transform (WT).

-Applied feature selection and dimensionality reduction (e.g. PCA, LDA, sequential search, factor analysis).

-Clustered (K-means, EM, hierarchical) and classified (K-NN, SVM, Naïve Bayes, Random Forrest, Multilayer Perceptron) the data to differentiate between blood pressure changing mechanisms under different activities.

-Attempted regression models (Ridge, Lasso, Bayesian, Gaussian Process, Regression Trees, SVR) to predict blood pressure.

-Trained autoencoder to reduce dimensionality of the data.

-Designed a deep convolutional neural network model to classify activities based on the physiological signals.

-Applied deep belief networks to estimate blood pressure using physiological signals.

-Practiced system identification and estimation methods for model selection and parameter tuning.

-Developed a physics based model of human physiology to understand the origin of the BCG waveform and find its association with other physiological waveforms like blood pressure and PPG.

MRI Compatible Robots, “Children’s National Health System”

-Developed a robot for needle targeting in spinal surgery, which needs a very high level of precision to exactly achieve the target points. A grid localization system is introduced for percutaneously injects therapeutics under MRI guidance into the spinal cord.

Human Blood Pressure Pulse Generator, “FDA”

-The purpose is to simulate and optimize the control system of an in-vitro system to generate blood pressure pulses, like as the human. The system will be used to evaluate the accuracy and performance of blood pressure monitors in a pre-clinical setting.

Human-Robot Interaction

-Measured the mechanical properties (stiffness and damping) of the ankle using an ankle robot for actuation and measurement.

-Applied the stiffness and damping of the ankle to improve the controller of the ankle robot for better interaction with human.

-Studied the change of ankle stiffness in stroke patients, as a quantitative indicator to assess the effectiveness of rehabilitation.

Research Assistant, The Centre for Advanced Life Cycle Engineering, University of Maryland, College Park, MD 2017-2017

Reliability and failure analysis of electronic devices

-Investigated the effect of repair, experienced life, and intermittent failures on the reliability of remanufactured electronic devices.

-Studied the reliability of electrical connectors in automotive industry, with focus on crimp connections.

Senior Engineer, MAPNA Generator and Wind Turbine Engineering and Manufacturing Co, Tehran 2015-2016

Structural Design, Vibrational Analysis, and Isolator Design

-Led a team that conducted electromagnetic-vibrational load analysis, designed structure of large electric generator, conducted vibrational analysis w/ ABAQUS, coordinated fabrication of scale-down model, performed experimental (w/ hammer & shaker) on the model, and verified the simulations with the experiment up to 2% accuracy.

-Developed vibrational isolator for light weight objects like sensors subjected to random/harmonic vibrations.

-The developed structure and analysis method serves as the base platform for the company’s new products.

System Design Engineer, Durali System Design and Automation Centre, Sharif University of Technology, Tehran 2009-2015

Sensor Development Automated Calibration

-As the PhD thesis, developed a novel 3D optimal sensor array for sun tracking in navigation systems and finding optimum direction for solar panels. The project included: (i) development of a test bed containing a parallel light source, rotational platform, and a software for data acquisition and control of the rotating platform, (ii) Statistical analysis and optimal design of the 3D sensor array, error mitigation via modelling of the sensor and environment, calibration and characterization of the sensor

-Filed one pending patent, “Photodetector Array to Measure Sun Vector, and Maximum Global Irradiance”.

-Published two papers in “IEEE Sensors” and “Sensors and Actuators”, as the highly reputed journals of the sensor field.

Lightweight Structure Development

-Designed light weigh structure for student satellite in Solidworks and Catia

-Performed modal, thermal, and random vibration analysis in ABAQUS

-Performed random, shock, and harmonic vibration tests on the structure.

Control System and Test Bed Development

-Developed an extensive simulator for dynamical analysis and controller design of a student satellite (working as one of the 3 core members of control system design team with 20 engineers). The project included: (i) Development of orbit/satellite dynamics simulator and navigation/control system of satellite (ii) Development of Software/Hardware in the loop (H/SIL) test systems, using MATLAB, C++ and C#

-The developed simulator serves as the base platform of the company to design and development of new controllers. Some of the theoretical results are published in two journal papers.

Nonlinear Vibration Analysis and Control

-Developed a FEM code from scratch in FORTRAN for modal & nonlinear vibration analysis of smart material plates. Published the results in “Composite Structures” journal, which is the most reputable journal in mechanical engineering.

-Developed a robust controller to reduce nonlinear vibration of a smart plate using piezoelectric layers as the sensor and actuator.

Computer Skills

-AI Techniques: Machin Learning, Image Processing, Vision, Classification, Planning, Optimization, Neural Networks.

-Engineering Software: SolidWorks, ABAQUS, CATIA, MATLAB, Mathematica, VREP, LMS Amesim, Reliasoft, Minitab.

-Languages: C#, C++, Asp.Net, FORTRAN, Python.

-Other Software: MS Project, Photoshop, InDesign, Corel Draw.

Selected Patents, Journal Papers

-P. Yousefian, et al, “Cuff-Less Blood Pressure Monitoring with Wearable Ballistocardiography”, Invention Disclosure No. PS-2018-030.

-P. Yousefian, et al, “Data Mining Investigation of the Association between a Limb BCG and Blood Pressure”, Physiological Measurement, 2018.

-P. Yousefian, et al, “Fabrication, characterization, and error mitigation of non-flat sun sensor” Sensors and Actuators A: Physical, 2017.

-P. Yousefian, et al, “Optimal Design and Simulation of Sensor Arrays for Solar Motion Estimation” IEEE Sensors Journal, 2017.

-P. Yousefian, et al, “Nonlinear control of sway in a tethered satellite system via attitude…" Aerospace Science and Technology, 2017.

-P. Yousefian, et al, "Anti-sway control of tethered satellite systems using attitude control of the main satellite" Acta Astronautica, 2015.

-P. Yousefian, et al, "Nonlinear free and forced vibration behavior of FGM plate with piezoelectric …” Composite Structures, 2011.

Selected Graduate Courses

-Robotics and AI: Artificial Intelligence, Robot Learning (Machine Learning in Robotics), Data-Driven Modelling and Estimation, Perception for Autonomous Robots, Planning for Autonomous Robots, Assistive Robotics, Optimal Design, Mechatronics.

-Control and Measurement: Nonlinear Control, Advanced Automatic Control, Control Systems Design, Adaptive Control, Automatic Control, Measurement Systems

-Dynamics & Vibration: Advanced Dynamics, Analytical Dynamics, Dynamic Systems, Random Vibration, Continuous Systems Vibration, Experimental Modal Analysis & Dynamic Systems Modelling

-Reliability: Design for Reliability, Engineering Decision Making and Risk Management, Reliability Analysis, Collection and Analysis of Reliability Data

-Statistics & Mathematics: Statistical Mechanics, Introduction to Statistics, Advanced Mathematic, Finite Element Analysis.

-Applied Physics: Electromagnetism, Modern Physics, Mathematical Physics, Quantum, Optics, Laser, Electronic.

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