Faizan Manzoor

Faizan Manzoor Email and Phone Number

Masters Student EE Virginia Tech | Power Systems Optimization | Machine Learning in Power @ Virginia Tech College of Engineering
Faizan Manzoor's Location
United States, United States
About Faizan Manzoor

I am a dedicated Electrical Engineering (EE) master's student at Virginia Tech with a diverse skill set and a passion for innovation. Currently, I am immersed in a cutting-edge project focused on the development of a groundbreaking anomaly detection algorithm using Large Language Models (Transformers) for the cybersecurity of substations. My work in this domain aims to enhance the resilience of critical infrastructure.In my prior academic and professional experiences, I have delved into various areas of EE. I have conducted research on Li-ion batteries, honing my expertise in energy storage technologies. Additionally, I have designed and implemented state estimation algorithms using probabilistic approaches and machine learning techniques in Matlab, for Li-ion batteries.My industrial experience in Automation has provided me with practical insights into the field. I have successfully tackled projects ranging from creating intuitive HMI screens to seamlessly integrating GIS into applications. Furthermore, I have crafted the front end of applications using the Aveva Wonderware platform, showcasing my proficiency in industrial software development.Throughout my academic journey, I have undertaken a rigorous coursework that has equipped me with a strong foundation in key domains, including power systems, Renewable energy systems, Machine Learning, and optimization. This knowledge base not only fuels my current research endeavors but also positions me as a versatile engineer ready to take on complex challenges and drive innovation in the field.

Faizan Manzoor's Current Company Details
Virginia Tech College of Engineering

Virginia Tech College Of Engineering

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Masters Student EE Virginia Tech | Power Systems Optimization | Machine Learning in Power
Faizan Manzoor Work Experience Details
  • Virginia Tech College Of Engineering
    Graduate Student Researcher
    Virginia Tech College Of Engineering Aug 2023 - Present
    United States
    Developed a machine learning-based Intrusion Detection System (IDS) adhering to the IEC-61850 protocol for digital substations, capable of detecting out-of-distribution (unseen) attacks with over 80% accuracy.Leveraged In-Context Learning capabilities of GPT-2 architecture to enhance the IDS's ability to identify novel attacks during the deployment phase, achieving accuracy exceeding 90%.Research paper published at IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids 2024 conference: Zero-day Attack Detection in Digital Substations using In-Context Learning
  • Virginia Tech College Of Engineering
    Teaching Assistant
    Virginia Tech College Of Engineering Aug 2023 - May 2024
    Mentoring a diverse cohort of 400 undergraduate students in the "Introduction to Electrical and Computer Engineering" course, providing weekly assignment feedback, hosting office hours, and facilitating engaging tutorial sessions.
  • Mitsubishi Electric Power Products, Inc.
    Generator Interconnection Studies Engineer Intern
    Mitsubishi Electric Power Products, Inc. Jun 2024 - Aug 2024
    Pennsylvania, United States
    Conducted Steady State Analysis and Voltage Ride Through (VRT) test for ERCOT BESS and Solar interconnection projects, using PSSE and TARA.Developed and implemented Python scripts to streamline the contingency analysis process in PSSE, reducing analysis time by 80%.
  • Lahore University Of Management Sciences
    Research Engineer Battery Management Systems
    Lahore University Of Management Sciences Oct 2022 - Aug 2023
    Lahore, Punjab, Pakistan
    Developed software for states estimation in Battery Management System for 1.5kW battery packs.Implemented probabilistic inferential approaches (Kalman filter, Extended Kalman filter, and Sigma Point Kalman filter) for state of charge estimation of Lithium (Li)-ion battery pack.Implemented weighted total least square, Support Vector Regression and Gaussian Process Mixtures for state of health and remaining useful life estimation of Li-ion battery pack.Wrote research paper on State of Charge Estimation using deep neural networks, which has been accepted at IEEE - Power and Energy Society General Meeting 2023 conference: “Online State of Charge Estimation Framework using Hybrid Equivalent Circuit Model and Neural Network”.Spearheaded and directed a dynamic team of researchers, successfully guiding them to achieve project completion within an impressive 7-month timeframe.
  • Avanceon Middle East & South Asia
    Application Engineer
    Avanceon Middle East & South Asia Aug 2022 - Oct 2022
    Lahore, Punjab, Pakistan
    Spearheaded front-end development for a critical Qatar-based Drainage Network Monitoring and Control (DNMC) project, ensuring an intuitive and user-friendly application interface.Led the integration of Geographic Information System (GIS) into the application, enhancing its analytical capabilities and providing valuable geographical insights for effective sewer and drainage network monitoring.Developed Human Machine Interface (HMI) screens, programmed SCADA, and configured communication between SCADA and RTU using Wonderware, showcasing technical proficiency in industrial automation.Mentored and supervised two interns on the DNMC project, contributing to their professional development and reinforcing team effectiveness.Wrote SQL queries to present essential data on the application’s user interface.Effectively liaised with clients on JIRA and conducted Zoom meetings for streamlined task completion.
  • Avanceon Middle East & South Asia
    Trainee Application Engineer
    Avanceon Middle East & South Asia Oct 2021 - Aug 2022
    Lahore, Punjab, Pakistan
  • Avanceon Middle East & South Asia
    Mtr-Intern
    Avanceon Middle East & South Asia Aug 2021 - Oct 2021
    Lahore, Punjab, Pakistan
  • Power Technology Research
    Junior Analyst Power Grid
    Power Technology Research Jun 2021 - Aug 2021
    Lahore, Punjab, Pakistan
    Investigated the current and future market size of gas-insulated circuit breakers in North American market.Gathered data through primary and secondary research methods. Reviewed more than 300 reports, research papers, and white papers. Contacted more than 200 industry experts in span of 2 months.Extrapolated missing data using optimization algorithms.
  • Lahore University Of Management Sciences
    Teaching Assistant For Communication Systems Course
    Lahore University Of Management Sciences Sep 2020 - Dec 2020
    Lahore, Punjab, Pakistan
    Responsible for designing and checking assignments and quizzes for 50+ students.Managed weekly 3 hour LabsHeld weekly office hours in which students came with their queries
  • Lahore University Of Management Sciences
    Teaching Assistant For Engineering Models Course
    Lahore University Of Management Sciences Sep 2019 - Dec 2019
    Lahore, Punjab, Pakistan
    Held weekly tutorials and office hours.Responsible for overlooking course content and graded components of students.
  • Descon
    Intern
    Descon Jul 2018 - Aug 2018
    Lahore, Punjab, Pakistan
    Worked at Power System design department where had the opportunity to work on project drawings

Faizan Manzoor Skills

Team Building Keras Tensorflow Communication English Team Leadership Deep Learning Engineering Strategic Planning Strategy Microsoft Office Supervised Learning Numpy Unsupervised Learning Python Teamwork Research Problem Solving Machine Learning

Faizan Manzoor Education Details

Frequently Asked Questions about Faizan Manzoor

What company does Faizan Manzoor work for?

Faizan Manzoor works for Virginia Tech College Of Engineering

What is Faizan Manzoor's role at the current company?

Faizan Manzoor's current role is Masters Student EE Virginia Tech | Power Systems Optimization | Machine Learning in Power.

What schools did Faizan Manzoor attend?

Faizan Manzoor attended Virginia Tech College Of Engineering, Lahore University Of Management Sciences.

What skills is Faizan Manzoor known for?

Faizan Manzoor has skills like Team Building, Keras, Tensorflow, Communication, English, Team Leadership, Deep Learning, Engineering, Strategic Planning, Strategy, Microsoft Office, Supervised Learning.

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