Tehmoor Dar, Ph.D

Tehmoor Dar, Ph.D

Acton, Massachusetts, United States
3K followers 500+ connections

Join to follow

About

Goal-oriented and seasoned professional known for executing leadership skills in managing…

Activity

Join now to see all activity

Experience

Education

  • The University of Texas at Austin Graphic

    The University of Texas at Austin

    -

    Terrain Parameter Estimation: Online terrain parameter estimation for small scale tracked vehicle with application to Packbot using nonlinear controls and estimation techniques like Extended Kalman Filter and Unscented Kalman Filter. This research work is supervised by Dr Raul Longoria and supported in part by a STTR contract through ERDC US Army Corps of Engineers, Vicksburg, MS. Experimental data collected as a part of collaboration between Griffin technologies, PA, Southwest Research…

    Terrain Parameter Estimation: Online terrain parameter estimation for small scale tracked vehicle with application to Packbot using nonlinear controls and estimation techniques like Extended Kalman Filter and Unscented Kalman Filter. This research work is supervised by Dr Raul Longoria and supported in part by a STTR contract through ERDC US Army Corps of Engineers, Vicksburg, MS. Experimental data collected as a part of collaboration between Griffin technologies, PA, Southwest Research Institute, SA, Tx and The University of Tx at Austin. [PhD Dissertation 2010]

  • -

    Sensor Data Acquisition. Designed and developed a model tracked vehicle equipped with IR and Sonar sensor. Using LabView Data Acquisitioning and Microcontroller implemented vehicle dynamic estimation. [Master Dissertation 2005]

  • Activities and Societies: College of Electrical and Mechanical Engineering

Volunteer Experience

  • Founder

    NUST US Technology, Industry, & Academic Network (NUSTIAN)

    - 5 years 10 months

    Education

    NUST US Technology, Industry, & Academic Network (NUSTIAN) is a nonprofit Organization.

    NUSTIAN VISION:

    To work for the betterment of NUST alumni in their professional and educational pursuits.

    NUSTIAN MISSION:

    1. Sponsoring the future: Create an endowment fund to arrange scholarships for talented NUST students in Pakistan as well as those pursuing graduate studies in the USA.

    2. Academic Outreach and Future Technologies: Coordinate between…

    NUST US Technology, Industry, & Academic Network (NUSTIAN) is a nonprofit Organization.

    NUSTIAN VISION:

    To work for the betterment of NUST alumni in their professional and educational pursuits.

    NUSTIAN MISSION:

    1. Sponsoring the future: Create an endowment fund to arrange scholarships for talented NUST students in Pakistan as well as those pursuing graduate studies in the USA.

    2. Academic Outreach and Future Technologies: Coordinate between Academia in the USA and NUST researchers in the area of current and future technologies through think-tanks.

    3. Industrial Outreach and Entrepreneurship: Help young entrepreneurs (nustians) scaling up their startups by involving Pakistani diaspora in the USA with a special focus on our alum in the high tech industry.

    4. Engagement: Build a spirit of active and creative social engagement, commitment and financial support for NUST alumni in the USA.

    5. Developing Leaders: Provide mentorship opportunities to younger NUST professionals in the USA by connecting them with the right professionals in their chosen field.

    6. Stronger Together: Create stronger ties amongst NUST alumni and enhance ties with the external organizations

    7. Community and Social Impact: Leverage the success of individual members for the betterment of local, regional and global NUST community.

Publications

  • Estimating vehicle-terrain interaction parameters from tracked-robot sensor data

    Modeling, Estimation and Control Conference MECC 2021

    This paper describes an approach for estimating terrain parameters (i.e., soil cohesion, shearing resistance, and shear modulus) online, particularly for deformable terrain. By combining an Extended Kalman Filter (EKF) and Newton-Raphson techniques, soil parameters can be estimated using onboard sensor data.

    Other authors
    See publication

  • MEMS: How to select an IMU for Extreme, Challenging Conditions

    Sensor Expo and Conference 2021

    Inertial measurement units (IMUs) are used for a variety of applications in everyday life. Some of the common applications are in cell phones, medical devices, autonomous vehicles, robots, drones, etc. IMUs are also used in harsh environments like oil exploration, shock tests during gunfire, munition launching and flight, etc. These IMUs face uncertain and extremely varying environments such as shock and vibration. These shocks and vibrations result in false output and degrade an IMU’s accuracy…

    Inertial measurement units (IMUs) are used for a variety of applications in everyday life. Some of the common applications are in cell phones, medical devices, autonomous vehicles, robots, drones, etc. IMUs are also used in harsh environments like oil exploration, shock tests during gunfire, munition launching and flight, etc. These IMUs face uncertain and extremely varying environments such as shock and vibration. These shocks and vibrations result in false output and degrade an IMU’s accuracy and robustness. There are several key parameters of an IMU that are analyzed while selecting it for a specific application. This presentation will focus on the parameters required for the extreme conditions and how to mitigate the impact of such conditions on IMUs during their use through techniques such as sensor fusion using Kalman filtering.

    See publication

  • Inertial Measurement Units-Design & Selection Criteria for Robotic & Consumer Applications

    Sensors Expo & Conference 2020

    Inertial measurement units (IMUs) are designed to measure acceleration, angular rate and orientation of a dynamic body. These are manufactured in a wide range of features, specifications and prices. This session provides attendees with a better understanding of the information necessary to make a judicious selection of an IMU for their applications and focuses on applications such as autonomous vehicles, precision agriculture, robotic arms, drones, virtually reality headsets.

    See publication

  • MEMS Testing Challenges, Issues and Solutions

    IEEE VLSI Test Symposium 2017

    we discussed challenges and issues in MEMS testing techniques, test solutions and way forward. (Publication available to participants only)

    Other authors
    • Ray Sessego
    • Peter Jones
    See publication

  • An Electrical-Stimulus-Only BIST IC for Capacitive MEMS Accelerometer Sensitivity Characterization

    IEEE Sensors Journal ( Volume: 17, Issue: 3, Feb.1, 1 2017 )

    Muhlis, Tehmoor, Sule , Bertan, et al. Presents a physical-stimulus-free built-in-selftest (BIST) integrated circuit (IC) design characterizing the sensitivity of capacitive MEMS accelerometers. The BIST circuitry can extract the amplitude and phase response of the acceleration sensor's mechanics under electrical excitation within 0.55% of error with respect to its mechanical sensitivity under physical stimulus. (SRC supported Project, a collaboration between Freescale/NXP Semiconductor and…

    Muhlis, Tehmoor, Sule , Bertan, et al. Presents a physical-stimulus-free built-in-selftest (BIST) integrated circuit (IC) design characterizing the sensitivity of capacitive MEMS accelerometers. The BIST circuitry can extract the amplitude and phase response of the acceleration sensor's mechanics under electrical excitation within 0.55% of error with respect to its mechanical sensitivity under physical stimulus. (SRC supported Project, a collaboration between Freescale/NXP Semiconductor and ASU)

    Other authors
    See publication

  • Electrical calibration of spring-mass MEMS capacitive accelerometers

    Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013/IEEE

    Lingfei Deng, Vinay, Tehmoor, et al. present in this paper an electrical stimulus based test and calibration technique for overdamped spring-mass capacitive accelerometers which require the characterization of stationary and dynamic calibration coefficients. We show that these two coefficients can be electrically obtained. (SRC supported Project, a collaboration between Freescale Semiconductor and ASU)

    Other authors
    See publication

  • No Physical Stimulus Testing and Calibration for MEMS Accelerometer

    Journal of MEMS

    Conventional MEMS devices require physical stimulus
    for calibration and test. This is not only time consuming
    but uses expensive equipment. In this paper it is presented
    that an accelerometer can be tested and calibrated with No
    Physical Stimulus (NPS), this is achieved by using electrostatic
    forces applied at transducer test plates to excite the proof
    mass. It is demonstrated that gain parameters required to
    calibrate the device can be estimated using an Extended…

    Conventional MEMS devices require physical stimulus
    for calibration and test. This is not only time consuming
    but uses expensive equipment. In this paper it is presented
    that an accelerometer can be tested and calibrated with No
    Physical Stimulus (NPS), this is achieved by using electrostatic
    forces applied at transducer test plates to excite the proof
    mass. It is demonstrated that gain parameters required to
    calibrate the device can be estimated using an Extended Kalman
    Filter algorithm provided an accurate physical system model is
    developed as a function of critical silicon process parameters.
    Our methodology is not only time efficient but cost effective as
    well. This methodology may be applied to most silicon processes
    used for MEMS inertial sensors. (Accepted for Publication -2013)

    Other authors
    See publication

  • Electrostatic Compensation for Accelerometer Using Extended Kalman Filter

    2012 Test Methodology and Efficiency Symposium -Freescale

    In this paper it is presented that an accelerometer can be tested and calibrated using electrostatic
    forces applied at transducer test plates to excite the proof mass. It is demonstrated that gain parameters required to calibrate the device can be estimated using an Extended Kalman
    Filter algorithm provided an accurate physical system model is developed as a function of critical silicon process parameters

    Other authors
    See publication

  • Estimating Traction Coefficients of Friction for Small-Scale Robotic Tracked Vehicles

    DSCC 2010

    A method is presented for using an extended Kalman filter with state noise compensation to estimate the trajectory, orientation, and coefficients of friction for a small-scale robotic tracked vehicle. The ultimate goal of the method is to enable terrain property estimation particularly during laboratory and field-testing utilizing onboard sensor data and/or other sources.

    Other authors
    • Dr Raul Longoria
    See publication

  • Slip Estimation for Small-Scale Robotic Tracked Vehicles

    2010 American Control Conference

    A method is presented for using an extended Kalman filter with state noise compensation to estimate the trajectory, orientation, and slip variables for a small-scale robotic tracked vehicle. The principal goal of the method is to enable terrain property estimation. The methodology requires kinematic and dynamic models for skid-steering, as well as tractive force models parameterized by key soil parameters.

    Other authors
    • Dr. Raul Longoria
    See publication

Patents

  • MCU Based Compensationand Calibration For MEMS Devices

    Issued US 9,221,679

    In this patent it is disclosed that an accelerometer can be tested and calibrated with No-Physical Stimulus, this is achieved by using electrostatic forces applied at transducer test plates to excite the proof mass. It is demonstrated that gain parameters required to calibrate the device can be estimated using statistical algorithm provided an accurate physical system model is
    developed as a function of critical silicon process parameters. This technique is implemented on MCU.

    Other inventors
    See patent

  • Compensation and Calibration of Multiple Mass MEMS Sensor

    Filed US SA25473ZR

    Compensation and Calibration of MEMS sensors having multiple movable masses.

    Other inventors

  • Real time On chip implementation of compensation and calibration algorithm using MCU

    Filed US SA25023ZR

    Calibrating and compensating the devices in real time using electrostatic stimuli without requiring any physical input

    Other inventors

  • Mems Parameter Identification using modulated frequency

    Filed US SA25014ZR

    An AM signal from the sense plate is Demodulated and compare to the original signal applied to the mems moving mass. Parameters such as Amplitude, and phase are measured and used to estimate the frequency resonance, and harmonic distortion response of the mems, and to provide a method to detect mems directivity such as particle, broken or no responsive structure. The supporting circuits and embedded algorithm are designed on the state machine MCU ASIC.

    Other inventors

Courses

  • Automatic Control System Design

    -

  • Digital Signal Processing

    -

  • Fundamental of Robots and Mechatronics

    -

  • Intoduction to Modern Controls

    -

  • Mechatronics II

    -

  • Multivariable Controls

    -

  • Nonlinear Controls

    -

  • Physical System Modeling

    -

  • Statistical Estimation Techniques

    -

  • Vehicle System Dynamics and Controls

    -

Languages

  • Urdu, English

    Full professional proficiency

Organizations

  • NUST US Technology , Industry, Academic Network

    Senior Vice President and Secretary General

    - Present

    NUST US Technology, Industry, & Academic Network (NUSTIAN) is a nonprofit Organization NUSTIAN VISION: To work for the betterment of NUST alumni in their professional and educational pursuits. NUSTIAN MISSION: 1. Sponsoring the future: Create an endowment fund to arrange scholarships for talented NUST students in Pakistan as well as those pursuing graduate studies in the USA. 2. Academic Outreach and Future Technologies: Coordinate between Academia in the USA and NUST researchers in the…

    NUST US Technology, Industry, & Academic Network (NUSTIAN) is a nonprofit Organization NUSTIAN VISION: To work for the betterment of NUST alumni in their professional and educational pursuits. NUSTIAN MISSION: 1. Sponsoring the future: Create an endowment fund to arrange scholarships for talented NUST students in Pakistan as well as those pursuing graduate studies in the USA. 2. Academic Outreach and Future Technologies: Coordinate between Academia in the USA and NUST researchers in the area of current and future technologies through think-tanks. 3. Industrial Outreach and Entrepreneurship: Help young entrepreneurs (nustians) scaling up their startups by involving Pakistani diaspora in the USA with a special focus on our alum in the high tech industry. 4. Engagement: Build a spirit of active and creative social engagement, commitment and financial support for NUST alumni in the USA. 5. Developing Leaders: Provide mentorship opportunities to younger NUST professionals in the USA by connecting them with the right professionals in their chosen field. 6. Stronger Together: Create stronger ties amongst NUST alumni and enhance ties with the external organizations 7. Community and Social Impact: Leverage the success of individual members for the betterment of local, regional and global NUST community.

  • IEEE

    -

    - Present

More activity by Tehmoor

View Tehmoor’s full profile

  • See who you know in common
  • Get introduced
  • Contact Tehmoor directly
Join to view full profile

Other similar profiles

Explore more posts

Explore collaborative articles

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Explore More

Add new skills with these courses

See all courses