Sajad Farrokhi
Miami,FL
Summary
A motivated Ph.D. student in Computer Science and accomplished Research Assistant with extensive experience in data analysis and leading experimental research projects. Proficient in conducting comprehensive literature reviews, designing experiments, collecting and analyzing data, and effectively presenting research findings. Seeking an internship opportunity to leverage my research acumen, coupled with a passion for scientific inquiry and innovation, to contribute significantly to groundbreaking projects in AI, deep learning, and related fields.
Overview
7
7
years of professional experience
Work History
Research Assistant
Florida International University
Miami, FL
05.2023 - Current
- Conducted CNN-based activity recognition research
- Led programming and research efforts for projects involving data preprocessing, and model development
- Actively participated in data collection processes, ensuring accuracy and relevance for analysis
Teaching Assistant
Florida International University
Miami, FL
05.2022 - 04.2023
- Assisted in teaching Operating Systems and System Programming courses
- Communicated complex concepts effectively, fostering student understanding
- Provided guidance, facilitated discussions, and demonstrated strong communication skills in technical subjects
Student Researcher
Mazandaran University of Science and Technology
Behshahr, Iran
08.2016 - 08.2019
- Designed a facial recognition model for a university dormitory security system.
- Developed machine learning models (CNN, LSTM, ResNet) for human activity recognition.
- Created a diabetes detection model using Fuzzy Neural Network technology.
Education
Ph.D. - Computer And Information Sciences
Florida International University
Miami, FL05.2027
BSc - Computer Engineering
University of Science And Technology of Mazandaran
Mazandaran, Iran2019
Skills
- Data Analysis
- Data Collection
- Problem-Solving
- Excellent Communication: Clear articulation of technical concepts
- Programming: Proficient in Python; Previous experience with C and C#
- Frameworks: Extensive use of TensorFlow for deep learning projects
- Operating Systems: Linux environment expertise
- Research and Development: Activity recognition, deep learning algorithms, Electrocardiogram
Publications
- Farrokhi, S., Dargie, W., & Poellabauer, C. (2024). Human Activity Recognition Based on Wireless Electrocardiogram and Inertial Sensors. IEEE Sensors Journal.
Timeline
Research Assistant
Florida International University
05.2023 - Current
Teaching Assistant
Florida International University
05.2022 - 04.2023
Student Researcher
Mazandaran University of Science and Technology
08.2016 - 08.2019
Ph.D. - Computer And Information Sciences
Florida International University
BSc - Computer Engineering
University of Science And Technology of Mazandaran
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