Bio


I am a research-oriented professional with more than ten years of research experience contributing to piezoelectric sensors, composite materials, dielectric materials, the multi-physics behavior of composite materials, structural sensing, and sensor methods for SHM/NDE. I have earned my Ph.D. and M.S. from the University of South Carolina. Currently, I am working as a Postdoctoral Fellow in Aeronautics & Astronautics Department at Stanford University.


Research Interest:
-AI-enabled Structural health monitoring (SHM) / Non-destructive evaluation (NDE) of aerospace, mechanical, infrastructure, and civil structures
-Multi-functional intelligent structures in aerial vehicles
-Multi-modal sensors network to assess the in-flight condition of aerospace/defense structures
-Virtual inspection of aerospace structures using physics-based-deep neural network modeling
-Acousto-ultrasonic wave-based framework (using machine learning methods and particle filtering) in conjunction with micro-structure study to evaluate the chemomechanical evolution of Lithium-ion batteries for unmanned/ ground electrical vehicle applications
-Multi-functional composite energy storage systems
-Manufacturing of multi-functional heterogeneous structural composites and studying their multi-physics behavior

Honors & Awards


  • Preparing for Faculty Careers (PFC) Certificate, Office of Postdoctoral Affairs, Stanford University (2020)
  • Engineering in Training Certificate, Certificate # 20989, South Carolina State Board of Registration (2019)
  • Preparing Future Faculty (PPF) Certificate, University of South Carolina (2019)
  • Top Peer Reviewer (top 1% of reviewers in cross-field on Publons global reviewer database), Publon (2019)
  • Two Thumbs Up Award (for making a significant difference as a faculty in students experience ), University of South Carolina (2019)
  • 1st Position in Video Category (SAMPE 2018 bridge contest ), SAMPE (2018)
  • Breakthrough Graduate Scholar, Office of the Vice President for Research, University of South Carolina (2018)
  • C.C. Royal Graduate Fellowship, University of South Carolina (2018)
  • Outstanding Paper Award (Third place), SAMPE Conference (2013)
  • Travel Grant Scholarship, Bangladesh-Sweden trust fund (2013)

Stanford Advisors


Patents


  • Mohammad Faisal Haider. "United States Patent US 10,983,095 B2 Combined Global-Local Structural Health Monitoring", University of South Carolina, Apr 20, 2021

Projects


  • Multifunctional Energy Storage Composites (MESC), Stanford University (10/2009 - Present)

    Sponsored by: ARPA-E

    The objective of the current project is to develop a system-level optimized design of a robust multifunctional hybrid-composite-battery-chassis system that can carry mechanical loads, safely store electrical energy, absorb impact energy, and lead to significant weight savings.

    Website: https://sites.google.com/view/su-arpa-e/home

    Location

    Stanford, CA

  • Brain-Inspired Networks for Multifunctional Intelligent Systems in Aerial Vehicles, UCLA U. Michigan, Ann Arbor, Stanford University, Texas A&M, U. Massachusetts, Amherst & U. Tennessee (8/2019 - Present)

    Sponsored by: AFOSR

    In this project, we plan to (A) perform research on devices including synaptic resistors (synstors), memory resistors (memristors), and neuristors to emulate the analog short- and long-term memory, convolutional signal processing, and correlative learning functions of synapses, and the nonlinear dynamic functions of neurons. (B) We will develop a synstor and neuristor integrated circuit (SNIC) that operates in analog parallel mode, facilitates processing and real-time learning, is more than six orders of magnitude more efficient than that of the supercomputer, and consumes a power of ~1 mW. (C) We will integrate multiple SNICs with distributed networks of sensors and actuators to demonstrate multifunctional intelligent systems with structural health-monitoring (SHM), automatic navigation, and real-time learning in self-piloted aerial vehicles. (D) We will also establish theoretical models for transforming intelligent functions of the brain to SNICs and intelligent systems.

    Location

    Stanford, CA

  • Integrated Acoustic Technology for Boil-off Control, Mass Gauging, and Structural Health Monitoring in Cryogenic Fuel Tanks, Stanford University, NASA, Universitat Politècnica de Catalunya-BarcelonaTech, Spain (4/2021 - Present)

    Sponsored by: NASA

    The goals addressed by this proposal are:
    1.Long-term storage and transfer of fuels and processed materials, typically in a cryogenic state, on the lunar surface and in orbit.
    2.“Knowledge payloads” to gather experimental data in a relevant space environment required for the design, development, and refinement of new technologies for sustainable lunar exploration or cislunar economic activity.

    Location

    Stanford, CA

  • Development of Multi-functional Composite UAV Structures for Urban Operations (4/2021 - Present)

    Sponsored by: ONR

    Description:
    Intelligence, surveillance, and reconnaissance (ISR) functions are critical for acquiring, processing, and, ultimately, executing military operations. While there are several platforms used by the Department of Navy to conduct ISR functions (e.g. satellites), unmanned aerial vehicles (UAVs) are the predominant source of tactical ISR. The Navy uses UAVs are in situations where manned flight is considered too risky or difficult. UAVs provide persistent situational awareness through 24 hours like "eye in the sky", for seven days a week and are used to overcome communications shortfalls; look inside buildings to ascertain occupancy and purpose; detect, identify, track, and target objects. The principle UAVs used by the Navy are the RQ-21A Blackjack, MQ-8B Fire Scout, X-47B UCAV, and MQ-4C Triton. There are three central shortcomings of these Navy UAV platforms:
    •Average a flight range of approximately 200 km with minimal payloads. Most UAVs have lacked the desired range needed for persistent ISR coverage.
    •UAVs are unable to carry ideal payloads because of heavy battery packs and supporting systems.
    •Monitoring the state of charge (SoC), state of the health (SoH) and end of life (EoL) of batteries while in flight is not possible.
    This is problematic because low-charge batteries restrict the flight capabilities, cause maneuverability problems, or increase
    the risk of collision.

    The goal of this research project will be to design and prototype a down-scale UAV wing with integrated structural power system with built in battery health sensing capabilities. This is valuable to the Department of the Navy because it will:
    •Reduce UAV weight by up to 40% compared to existing platforms. Weight reductions, in turn, will increase UAV range and payload.
    •Incorporate sensors into the UAV for structural health monitoring (SHM) and battery health monitoring (BHM). Real-time battery data will provide operators with the data necessary to mitigate UAV safety concerns.

    Location

    Stanford, CA

All Publications


  • Guided wave field calculation in anisotropic layered structures using normal mode expansion method SMART STRUCTURES AND SYSTEMS Li, L., Mei, H., Haider, M., Rizos, D., Xia, Y., Giurgiutiu, V. 2020; 26 (2): 157-174
  • Pure S0 and SH0 detections of various damage types in aerospace composites COMPOSITES PART B-ENGINEERING Mei, H., Haider, M., James, R., Giurgiutiu, V. 2020; 189
  • Design and Integration of a Wireless Stretchable Multimodal Sensor Network in a Composite Wing. Sensors (Basel, Switzerland) Chen, X., Maxwell, L., Li, F., Kumar, A., Ransom, E., Topac, T., Lee, S., Faisal Haider, M., Dardona, S., Chang, F. 2020; 20 (9)

    Abstract

    This article presents the development of a stretchable sensor network with high signal-to-noise ratio and measurement accuracy for real-time distributed sensing and remote monitoring. The described sensor network was designed as an island-and-serpentine type network comprising a grid of sensor "islands" connected by interconnecting "serpentines." A novel high-yield manufacturing process was developed to fabricate networks on recyclable 4-inch wafers at a low cost. The resulting stretched sensor network has 17 distributed and functionalized sensing nodes with low tolerance and high resolution. The sensor network includes Piezoelectric (PZT), Strain Gauge (SG), and Resistive Temperature Detector (RTD) sensors. The design and development of a flexible frame with signal conditioning, data acquisition, and wireless data transmission electronics for the stretchable sensor network are also presented. The primary purpose of the frame subsystem is to convert sensor signals into meaningful data, which are displayed in real-time for an end-user to view and analyze. The challenges and demonstrated successes in developing this new system are demonstrated, including (a) developing separate signal conditioning circuitry and components for all three sensor types (b) enabling simultaneous sampling for PZT sensors for impact detection and (c) configuration of firmware/software for correct system operation. The network was expanded with an in-house developed automated stretch machine to expand it to cover the desired area. The released and stretched network was laminated into an aerospace composite wing with edge-mount electronics for signal conditioning, processing, power, and wireless communication.

    View details for DOI 10.3390/s20092528

    View details for PubMedID 32365628

  • Theoretical calculation of circular-crested Lamb wave field in single- and multi-layer isotropic plates using the normal mode expansion method STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL Li, L., Haider, M., Mei, H., Giurgiutiu, V., Xia, Y. 2020; 19 (2): 357-372
  • Multimode Guided Wave Detection for Various Composite Damage Types APPLIED SCIENCES-BASEL Mei, H., James, R., Haider, M., Giurgiutiu, V. 2020; 10 (2)
  • Static Tactile Sensing for a Robotic Electronic Skin via an Electromechanical Impedance-Based Approach. Sensors (Basel, Switzerland) Liu, C. n., Zhuang, Y. n., Nasrollahi, A. n., Lu, L. n., Haider, M. F., Chang, F. K. 2020; 20 (10)

    Abstract

    Tactile sensing is paramount for robots operating in human-centered environments to help in understanding interaction with objects. To enable robots to have sophisticated tactile sensing capability, researchers have developed different kinds of electronic skins for robotic hands and arms in order to realize the 'sense of touch'. Recently, Stanford Structures and Composites Laboratory developed a robotic electronic skin based on a network of multi-modal micro-sensors. This skin was able to identify temperature profiles and detect arm strikes through embedded sensors. However, sensing for the static pressure load is yet to be investigated. In this work, an electromechanical impedance-based method is proposed to investigate the response of piezoelectric sensors under static normal pressure loads. The smart skin sample was firstly fabricated by embedding a piezoelectric sensor into the soft silicone. Then, a series of static pressure tests to the skin were conducted. Test results showed that the first peak of the real part impedance signal was sensitive to static pressure load, and by using the proposed diagnostic method, this test setup could detect a resolution of 0.5 N force. Numerical simulation methods were then performed to validate the experimental results. The results of the numerical simulation prove the validity of the experiments, as well as the robustness of the proposed method in detecting static pressure loads using the smart skin.

    View details for DOI 10.3390/s20102830

    View details for PubMedID 32429364

  • An efficient analytical global-local (AGL) analysis of the Lamb wave scattering problem for detecting a horizontal crack in a stiffened plate ACTA MECHANICA Haider, M., Joseph, R., Giurgiutiu, V., Poddar, B. 2020; 231 (2): 577-596
  • Theoretical and numerical analysis of acoustic emission guided waves released during crack propagation JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES Haider, M., Giurgiutiu, V. 2019; 30 (9): 1318-1338
  • Vibration-Based In-Situ Detection and Quantification of Delamination in Composite Plates SENSORS Mei, H., Migot, A., Haider, M., Joseph, R., Bhuiyan, M., Giurgiutiu, V. 2019; 19 (7)

    Abstract

    This paper presents a new methodology for detecting and quantifying delamination in composite plates based on the high-frequency local vibration under the excitation of piezoelectric wafer active sensors. Finite-element-method-based numerical simulations and experimental measurements were performed to quantify the size, shape, and depth of the delaminations. Two composite plates with purpose-built delaminations of different sizes and depths were analyzed. In the experiments, ultrasonic C-scan was applied to visualize the simulated delaminations. In this methodology, piezoelectric wafer active sensors were used for the high-frequency excitation with a linear sine wave chirp from 1 to 500 kHz and a scanning laser Doppler vibrometer was used to measure the local vibration response of the composite plates. The local defect resonance frequencies of delaminations were determined from scanning laser Doppler vibrometer measurements and the corresponding operational vibration shapes were measured and utilized to quantify the delaminations. Harmonic analysis of local finite element model at the local defect resonance frequencies demonstrated that the strong vibrations only occurred in the delamination region. It is shown that the effect of delamination depth on the detectability of the delamination was more significant than the size of the delamination. The experimental and finite element modeling results demonstrate a good capability for the assessment of delamination with different sizes and depths in composite structures.

    View details for DOI 10.3390/s19071734

    View details for Web of Science ID 000465570700253

    View details for PubMedID 30978968

    View details for PubMedCentralID PMC6479334

  • Recent Advances in Piezoelectric Wafer Active Sensors for Structural Health Monitoring Applications SENSORS Mei, H., Haider, M., Joseph, R., Migot, A., Giurgiutiu, V. 2019; 19 (2)

    Abstract

    In this paper, some recent piezoelectric wafer active sensors (PWAS) progress achieved in our laboratory for active materials and smart structures (LAMSS) at the University of South Carolina: http: //www.me.sc.edu/research/lamss/ group is presented. First, the characterization of the PWAS materials shows that no significant change in the microstructure after exposure to high temperature and nuclear radiation, and the PWAS transducer can be used in harsh environments for structural health monitoring (SHM) applications. Next, PWAS active sensing of various damage types in aluminum and composite structures are explored. PWAS transducers can successfully detect the simulated crack and corrosion damage in aluminum plates through the wavefield analysis, and the simulated delamination damage in composite plates through the damage imaging method. Finally, the novel use of PWAS transducers as acoustic emission (AE) sensors for in situ AE detection during fatigue crack growth is presented. The time of arrival of AE signals at multiple PWAS transducers confirms that the AE signals are originating from the crack, and that the amplitude decay due to geometric spreading is observed.

    View details for DOI 10.3390/s19020383

    View details for Web of Science ID 000458569300166

    View details for PubMedID 30669307

    View details for PubMedCentralID PMC6358765

  • Propagating, Evanescent, and Complex Wavenumber Guided Waves in High-Performance Composites MATERIALS Giurgiutiu, V., Haider, M. 2019; 12 (2)

    Abstract

    The study of propagating, evanescent and complex wavenumbers of guided waves (GWs) in high-performance composites using a stable and robust semi-analytical finite element (SAFE) method is presented. To facilitate understanding of the wavenumber trajectories, an incremental material change study is performed moving gradually from isotropic aluminum alloy to carbon fiber reinforced polymer (CFRP) composites. The SAFE results for an isotropic aluminum alloy plate are compared with the exact analytical solutions, which shows that N = 20 SAFE elements across the thickness provides <0.5% error in the highest evanescent wavenumber for the given frequency-wavenumber range. The material change study reveals that reducing the transverse and shear moduli moves the wavenumber solution towards one similar to composite material. The comparison of the propagating, evanescent and complex wavenumber trajectories between composites and aluminum alloy show that antisymmetric imaginary Lamb wave modes always exist in composites although they may not exist in isotropic aluminum alloy at some frequencies. The wavenumber trajectories for a unidirectional CFRP plate show that the range of real wavenumber is much smaller than in the isotropic aluminum alloy. For laminated CFRP composite plates (e.g., unidirectional, off-axis, transverse, cross-ply and quasi-isotropic laminates), the quasi Lamb wave and shear horizontal (SH) wave trajectories are also identified and discussed. The imaginary SH wave trajectories in laminated composites are distorted due to the presence of ±45 plies. The convergence study of the SAFE method in various CFRP laminates indicates that sufficient accuracy can always be achieved by increasing the number of SAFE elements. Future work will address the stress-continuity between composite layers.

    View details for DOI 10.3390/ma12020269

    View details for Web of Science ID 000459719000073

    View details for PubMedID 30650634

    View details for PubMedCentralID PMC6356890

  • Experimental validation of an analytical method to predict lamb wave scattering from a discontinuity SMART MATERIALS AND STRUCTURES Haider, M., Poddar, B., Giurgiutiu, V. 2019; 28 (1)
  • Analytical and experimental investigation of the interaction of Lamb waves in a stiffened aluminum plate with a horizontal crack at the root of the stiffener JOURNAL OF SOUND AND VIBRATION Haider, M., Bhuiyan, M., Poddar, B., Lin, B., Giurgiutiu, V. 2018; 431: 212-225
  • Nonlinear anisotropic electrical response of carbon fiber-reinforced polymer composites JOURNAL OF COMPOSITE MATERIALS Haider, M. F., Majumdar, P. K., Angeloni, S., Reifsnider, K. L. 2018; 52 (8): 1017-1032
  • Analysis of axis symmetric circular crested elastic wave generated during crack propagation in a plate: A Helmholtz potential technique INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES Haider, M., Giurgiutiu, V. 2018; 134: 130–50
  • A Helmholtz potential approach to the analysis of guided wave generation during acoustic emission events Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems Faisal Haider, M., Giurgiutiu, V. 2018; 1 (2)

    View details for DOI 10.1115/1.4038116

  • Irreversibility effects in piezoelectric wafer active sensors after exposure to high temperature SMART MATERIALS AND STRUCTURES Haider, M., Giurgiutiu, V., Lin, B., Yu, L. 2017; 26 (9)