Data Science Machine Learning

ZIBA PARSONS

Email: ********@*****.*** Phone: 313-***-**** Google Scholar page

CAREER OBJECTIVE

A Summer 2024 internship in Machine Learning and Data Science in a company that nourishes creativity and collaboration, allowing me to add value and improve my technical, research, and communication skills.

TECHNICAL STRENGTHS

Programming Python, C++, Java, R, SQL

IDS Pycharm, Tensorflow, Pytorch, Keras, Hadoop, Visual Studio Jupyter Notebook, Matlab, MySQL, Postgre SQL

Softwares Microsoft Office, Latex, Lightroom

Operating Systems IOS, Linux Ubuntu, Windows

EDUCATION

Ph.D. candidate of Computer Science Expected graduation: Summer 2025 University of Michigan, Dearborn, MI GPA: 4.00

Master of Electrical and Computer Engineering Conferred: August 2020 University of Detroit Mercy, MI GPA: 3.57

Master of Computer Engineering Conferred: April 2012 University of Isfahan, Iran GPA: 3.60

Bachelor of Computer Engineering Conferred: September 2008 University of Isfahan, Iran GPA: 3.56

PROFESSIONAL EXPERIENCE

Researcher and developer, MISP Research Center November 2014 - June 2016 Project consultant, Kasra Company March 2014 - July 2014 Researcher and developer, APAIUT Company April 2012 - March 2015 Intern, National Iranian Oil Company (NISOC) June 2007 - September 2007 I have been a researcher and developer for different projects such as: Microaneurysm Analysis in Diabetic Retinopathy project, encrypted network traffic classification, secure multi-party compu- tation, intrusion detection system, digital certificate classification, automatic time and attendance application system.

ACADEMIC EXPERIENCE

I have been research assistant in different AI and Machine Learning fields: federated learning, biometric recognition, face verification, Chagas disease vector classification, and steel image tex- ture segmentation. I am thrilled to present my recent paper in NeurIPS2023 introducing a new Federated Learning framework.

I have been a teaching assistant for different courses such as: Computer and Network Security, Wireless Network Security and Privacy, Artificial Intelligence, Deep Learning, Neural Networks, Signals and Systems, Discrete Signal Processing, C++ and JAVA programming, and Computer Architecture.

VOLUNTEER EXPERIENCE

Founding President of Doctoral Student Association (DSA); Honor Society Member with Highest Honors; Grace Hopper Celebration 2023 (GHC 23) Scholar Reviewer; Volunteer in WE Local Seattle 2023; SWE Member; WiDS Member; Reviewer for IEEE ICMLA 2019; and Organizing committee member for MVIP 2010

OTHER INTERESTS

Extroverted personality, playing league volleyball, working out, playing tennis, watching movies, reading (especially literature and psychology)

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