Summary
Overview
Work History
Education
Skills
Profiles
Projects
Publications
Conferences and Seminars
Online Certifications
Memberships
Honours & Awards
Volunteer Experience
Languages
Soft Skills
Timeline
Generic

Syeda Tehreem Haider

Rawalpindi,

Summary

  • Machine Learning & Deep Learning for Signal Processing and Computer Vision
  • AI for Medical Diagnostics (signal and image analysis)
  • Digital Security: Audio Deepfake Detection & Face Recognition Systems
  • Anomaly Detection & Pattern Recognition
  • Remote Sensing Image Analysis for Security & Environmental Monitoring

Overview

2
2
years of professional experience

Work History

Freelance Electronics Engineer

Remote
06.2024 - Current
  • Developed computer vision solutions for object detection and feature extraction using OpenCV and deep learning.
  • Designed and optimized ML/DL models for classification, prediction, and real-time inference.
  • Applied digital signal processing (DSP) techniques for accurate signal analysis and filtering in engineering systems.
  • Implemented and tuned control systems for automation and embedded applications.
  • Collaborated with clients to deliver custom electronics and AI solutions, meeting performance and deadline requirements.
  • Worked on FPGA-based digital system design, including Verilog/VHDL implementation and hardware-software integration.
  • Experienced in tools like MATLAB, Simulink, Xilinx Vivado, Python, Quartus, and various microcontroller platforms.
  • -

Internship Trainee

Wah Brass Mills (Pvt) Ltd
Wah Cantt
07.2023 - 09.2023
  • Worked with industrial sensors, performing calibration and data acquisition.
  • Gained knowledge in PLC programming and HMI interface design.
  • Familiar with motor control circuits including VFDs, contactors, and soft starters.

Education

Bachelor of Science - Electronics Engineering

University of Engineering & Technology (UET)
Taxila, Pakistan
07-2024

Skills

  • MATLAB/Simulink
  • Python Programming
  • FPGA Design (Verilog)
  • Embedded System Design
  • C/C
  • Latex
  • Research Design
  • Technical Reporting
  • Research Presentation

Profiles

  • ORCID: https://orcid.org/0009-0005-7553-2188
  • Google Scholar: https://scholar.google.com/citations?user=28GN_2IAAAAJ&hl=en
  • Linkedin: https://www.linkedin.com/in/syeda-tehreem-haider-98418a25b/

Projects

Final Year Project – IntelliGuard: AI-Powered Detection of Forgeries in Audio Data (Python, MATLAB)

  • Designed machine and deep learning pipeline using CNN-based Mel-spectrogram (audios to image conversion) analysis to detect spoofed audios.
  • Fused cepstral (extracted from audios) and CNN features, applied MRMR for feature selection, and classified with KNN.
  • Achieved 98.6% accuracy and 0.01% Equal Error Rate (EER).

-

Heartbeat to Music Conversion Using Signal Processing (MATLAB)

  • Recorded heartbeats via modified stethoscope-microphone system.
  • Applied filtering, Fourier analysis, and frequency mapping to generate musical notes.

-

AI-Based Face Recognition for Secure Authentication (Python, TensorFlow/Keras)

  • Developed CNN-based facial recognition with data augmentation for robust performance.
  • Achieved high accuracy under varying lighting and facial expressions for secure access control.

-

Color Space Comparison for Image Classification (Python, OpenCV)

  • Extracted color, texture, and edge features from RGB and HSV images.
  • Evaluated classification accuracy to identify optimal feature representation.

-

Leaf Recognition System (MATLAB)

  • Utilized MATLAB based GUI for leaf segmentation and extracted features from segmented images.
  • Classified species using MATLAB ML toolbox with high accuracy under challenging conditions.

-

FPGA-Based Heart Rate Monitoring System (Verilog, MATLAB, Xilinx Vivado)

  • Processed ECG signals from AD8232 sensor for binary conversion and thresholding.
  • Implemented 16-bit classification in Verilog on Artix-7 FPGA with real-time display on LEDs/7-segment.

-

Embedded Speech Recognition System on Zynq FPGA (Verilog, Quartus, Modelsim)

  • Implemented speech recognition pipeline (MFCC, FFT) on ZedBoard Zynq FPGA.
  • Recognized commands (“ON”, “OFF”) to trigger FPGA-based actions in real time.

Publications

"Recognition of Leukocytes using a Combination of Deep Features and Ensemble Classifier", IEEE Xplore, Presented at 19th IEEE ICET

"https://ieeexplore.ieee.org/abstract/document/10935053"

  • Developed leukocyte classification system using ResNet18 transfer learning on Raabin-WBC dataset.
  • Applied preprocessing and oversampling to address class imbalance, and extracted deep features from pooling layer of ResNet18.
  • Achieved 99.5% accuracy with Ensemble Bagged Trees classifier using 5-fold cross validation

-

"Pattern Analysis Framework for Detection of Cardiac Disorders using VCG Signal Analysis", IEEE Xplore, Presented at IEEE 5th ICACS

"https://ieeexplore.ieee.org/abstract/document/10473256"

  • Developed pattern recognition framework for detecting BBB, CMP, and DYS from VCG signals.
  • Applied Empirical Mode Decomposition (EMD) for preprocessing and extracted time, spectral, and cepstral features.
  • Used Back Elimination for feature selection, achieving 97.9% accuracy with KNN (Fine) and 10-fold cross-validation.

Conferences and Seminars

Online Certifications

  • Neural Network 101: Image Recognition using Machine Learning – Simplilearn (Completed: 08/2024)
  • Introduction to Large Language Models – Google Cloud x Simplilearn (Completed: 07/2024)
  • What is Generative AI? – LinkedIn Learning (Completed: 06/2024)
  • FPGA Computing Systems: Partial Dynamic Reconfiguration – Politecnico Milano 1863 x Coursera (Completed: 04/2024)
  • Introduction to Computer Vision – Great Learning (Completed: 04/2024)
  • Business Intelligence and Data Analytics: Generate Insights – Macquarie University x Coursera (Completed: 02/2024)

Memberships

  • Pakistan Engineering Council (PEC)
  • IEEE Council on Electronic Design Automation
  • IAENG (International Association of Engineers)
  • IEEE Biometrics Council
  • IEEE Sensors Council
  • IEEE Systems Council
  • Systems Engineering Society of Australia (SESA)

Honours & Awards

  • [ 2023 ] Prime Minister's Youth Laptop Scheme - Awarding institution: Higher Education Commission

Awarded with a laptop under the PM's Youth Laptop Scheme for academic excellence.  

  • [ 2023 ] Best Volunteer Award - Awarding institution: IEEE Consumer Electronics Society, UET Taxila

Recognized with the Best Volunteer Award by IEEE CES UET Taxila for exceptional  contributions and dedication to volunteer activities.

Volunteer Experience

  • Joint Secretary, IEEE Consumer Technology Society (CTSoc), UET Taxila, 08/01/23 - 05/31/24 (Event coordination and management, inter-society collaboration)
  • Director Documentation, IEEE Consumer Electronics Society (CES), UET Taxila, 08/01/22 - 07/31/23 (Documentation management, communication and team coordination)

Languages

  • English, Fluent
  • Urdu, Native

Soft Skills

  • Teamwork
  • Leadership
  • Management
  • Communication
  • Critical Thinking
  • Positive Attitude

Timeline

Freelance Electronics Engineer

Remote
06.2024 - Current

Internship Trainee

Wah Brass Mills (Pvt) Ltd
07.2023 - 09.2023

Bachelor of Science - Electronics Engineering

University of Engineering & Technology (UET)
Syeda Tehreem Haider