Tejal Udhan

Tejal P Mulay

FACULTY (GENERIC)
EMAIL
PHONE
850-599-3300
OFFICE
Payroll Clearing-Acad Affairs
Resume

Office Hours

Benjamin Banneker Tech B, Rm 211

Monday                 9:00am-11:00am

Tuesday - Friday  3:00pm-5:00pm

About Me

Dr. Tejal Mulay is a Visiting Assistant Professor in Electronic Engineering Technology in the Division of Engineering Technology under the School of Architecture and Engineering Technology (SAET) at Florida Agricultural & Mechanical University (FAMU). Dr. Mulay’s primary research area is in speech signal processing, including but not limited to acoustic emotion recognition, digital signal processing, autonomous vehicles and blockchain technology and its applications. She also has authored and co-authored articles in various technical journals and conferences in these areas of education in the engineering field.

Dr. Mulay has been working with minority students in the STEM fields since her graduate school days. She has been assistant director for the REAP summer camps funded by NSF which aimed towards increasing the participation of minority students in STEM research. She has also been part of the FAMU STEM Day team, assisting with the demonstration and experiment portion of this annual event. She has assisted many undergraduate students in getting internships and scholarships through various programs.

Dr. Mulay received her master's of science degree and Ph.D. in Electrical Engineering from Florida State University and her Bachelor of Engineering in Electronics and Communication from Dr. Babasaheb Ambedkar Marathwada University in India.

Areas of Interest

  • Acoustic Signal Processing
  • Digital Signal Processing
  • STEM Education
  • Autonomous Vehicles
  • Blockchain Technologies

Education

 
  • PhD. In Electrical Engineering • 2019
    Florida State University, FAMU- FSU College of Engineering
  • Master of Science in Electrical Engineering • 2018
    Florida State University, FAMU- FSU College of Engineering
  • Bachelor of Engineering in Electronics and Communication  • 2012

    Dr. Babasaheb Ambedkar Marathwada University, India

Work History

  • Visiting Professor • August 2019-Current
    Florida A&M University

    Electronic Engineering and Technology 

  • Assistant REAP Director • May 2019-June 2019
    FAMU-FSU College of Engineering

    Department of Electrical and Computer Engineering 

  • Adjunct Faculty • January 2019-May 2019
    Florida A&M University

    Electronic Engineering and Technology

  • Intel HBCU Outreach Mentor • January 2019-May 2019
    FAMU-FSU College of Engineering

    Department of Electrical and Computer Engineering

  • AEOP UNITE Camp Coordinator • May 2017-June 2017
    FAMU-FSU College of Engineering

    Department of Electrical and Computer Engineering

accomplishment

  • Designed and developed a new curriculum for ETS 3677: Introduction to Robotics course adhering to newer technologies introduced in the robotics field
  • Developed and executed new laboratory experiments for ETS 3677: Introduction to Robotics Laboratory which included adding a new robot to lab curriculum
  • Trained and encouraged students to publish research posters on innovative robotic applications
  • Designed and developed updated curriculum for CET3195: Digital Electronics course
  • Created two new permanent exhibits of robotic applications for FAMU STEM Day Presentations

Publication

 
  • Bernadin, S., and Mulay, T., & Chi, H. (2022). Creating a Virtual Learning Environment for Increasing Awareness of Blockchain Technologies at a Minority Serving Institution. ASEE Annual Conference.
  • Udhan, T. and Bernadin, S. (2018). Acoustic Emotion Recognition using Spectral and Temporal Features. The Journal of Acoustic Society of America.
  • Udhan, T. and Bernadin, S. (2018). Utilization of Spectral and Temporal Acoustic Features for Driver-centric Emotion Recognition. 6th IAJC International Conference.
  • Udhan, T. and Bernadin, S. (2018). Speaker-dependent low-level acoustic feature extraction for emotion recognition. The Journal of Acoustic Society of America 143(3), 1747.
  • Udhan, T. and Bernadin, S. (2017). Survey of Different EMG Signal Analysis Techniques. International Journal of Innovative Research in Science, Engineering and Technology, Vol 6(2), pp.1857-1864.
  • Udhan, T. and Bernadin, S. (2016). Optimal time- and frequency-domain feature characterization for emotion recognition using electromyographic speech. The Journal of the Acoustical Society of America, 139(4).
  • Bernadin, S., Macpherson, M., Agramonte, I. and Udhan, T. (2014). Towards the computation of a variability index in orofacial muscle activity patterns during speech production using performance verification studies. The Journal of the Acoustical Society of America, 135(4).
  • Bernadin, S. and Udhan, T. (2014). Developing a Task Model for Evidence-Centered Assessment Design in a Speech Signal Processing Course. American Society for Engineering Education.
  • Udhan, T. (2018). Low- level Acoustic Emotion Recognition for Vehicle-centric Applications. Department of Civil Engineering, FAMU – FSU College of Engineering, Tallahassee.
  • Udhan, T., Bernadin S., Smith E. (2016). Emotion Recognition Using Fuzzy Clustering Analysis. Georgia Southern University Research Symposium, Statesboro, Georgia.
  • Udhan, T. (2016). Fuzzy Clustering Algorithms for Data Analysis. WIMSE, Florida State University, Tallahassee.
  • Udhan T. (2014) Articulatory Movement Pattern Recognition. FAMU-FSU College of Engineering, Graduate poster presentation, Tallahassee.

Courses Taught At FAMU

  • CET 2365 – C Programming for Engineering and Technology
  • EET 2150 – Electronic Devices and Circuits
  • CET 3195 – Digital Electronics
  • ETS 3677 – Introduction to Robotics
  • ETS 4538 – Instrumentation
  • EET 2150L – Electronic Devices and Circuits Laboratory
  • CET 3195L – Digital Electronics Laboratory
  • ETS 3677L – Introduction to Robotics Laboratory
  • ETS 4538L – Instrumentation Laboratory