Security Engineer

Arash Gholami

Education

****-** ****** ** ******* - CYBERSECURITY AND MACHINE LEARNING Queen’s University

• CGPA: 4.30/4.30

**** ******* ******** ** ******* WITH HIGH DISTINCTION University of Toronto

• CGPA: 3.74/4.00, Computer Science Specialist and Mathematics Minor Publications

2017-18 STUDENT BEHAVIOUR IN UNSUPERVISED ONLINE QUIZZES: A CLOSER LOOK ARASH GHOLAMI, LARRY YUELI ZHANG WCCCE2018

• As an Undergraduate Research Fellow, I performed a refined analysis of student ac- tivity logs, by investigating the impacts of various behavioural factors and applying several statistical methods. Discovered some behavioural patterns have strong impli- cations for student learning outcome. Supervisor: Dr. Larry Yueli Zhang Honours and Awards

2020 NSERC CREATE CYBERSECURITY TRAINING AWARD Queen’s University 2018 UTEA, UOFT EXCELLENCE AWARD NOMINEE MCS Dept. of UTM 2018 NSERC-USRA, NATURAL SCIENCES AND ENGINEERING RESEARCH COUNCIL OF CANADA UNDERGRADUATE STUDENT RESEARCH AWARD NOMINEE MCS Dept. of UTM 2017 2X ROP, RESEARCH OPPORTUNITY PROGRAM MCS Dept. of UTM 2016-19 4 TIMES DEAN’S LIST SCHOLAR University of Toronto 2015-18 3 TIMES MCS HONOUR ROLL UTM

2015 GERMAN LANGUAGE AND CULTURE AWARD UTM

2015 3RD RANK LOCAL HACK DAY UTM and MLH.IO

Experience

2020-22 GRADUATE RESEARCHER Queen’s University

• Exploring applications of ML to in cybersecurity.

• Research interests: Authentication, Time Series, Neural Networks, Behavioural Bio- metrics.

2016-19 SENIOR MATH AND COMP SCI TEACHING ASSISTANT University of Toronto

• Achieved excellent public speaking and communication skills by teaching numerous junior to senior tutorials, including: AI, Combinatorics, Linear Algebra, Principles of Programming Languages, Data Structures and Analysis, and Computer Organization. 2017-18 UNDERGRADUATE RESEARCH ASSISTANT University of Toronto

• Discovered certain behavioural patterns which have strong implications for a stu- dent’s final learning outcome in the course, by investigating student behaviour in un- supervised online quizzes, via performing a refined analysis of activity logs collected from weekly quizzes of over 200 students. Supervisor: Dr. Larry Yueli Zhang 2018 PROJECT INCLUDE INSTRUCTOR AND CURRICULUM DESIGNER UTM

• Led 10 instructors to design a simplified curriculum for teaching Python to mid-high school students in the form of boot-camps and workshops.

• Achieved high student engagement, while maintaining a normal average of 65%. 2017-18 CODE CLUB INSTRUCTOR UTM

• Facilitated two groups of students, ages 7-9 and 10-14, to accomplish weekly programming tasks. Experienced how diverse interacting with and teaching chil- dren/teenagers is. Supervisor: Dr. Marina Tvalavadze Projects

2020-21 WEARABLE-ASSISTED CONTINUOUS AUTHENTICATION Queen’s University

• Studied and Implemented an authentication technique that utilizes a gyro- accelerometer-equipped band/smartwatch to verify the person using the computer is continuously the user who initially logged in.

• Achieved a 4% and 10% Equal Error Rate (EER) with 30 and 15 seconds of input. Details

T +1-647-***-****

@ arash.gholami

@queensu.ca

Courses

- Cyber Security

- ML and Data Mining

- Sequence Models, NLP

- Convolutional Neural Networks

- Structuring ML Projects

- Neural Networks, Hyperparam-

eter Tuning, and Optimization

- Image Understanding

- Advanced Algorithms II

Knowledge

Python, Java, C#, C, Keras,

TensorFlow, PyTorch, Numpy,

Scipy, OpenCV, Scikit-learn,

Matplotlib, Bash, Objective

C++, Racket, Haskel, Regex,

Unity Engine, mySQL, Git, NVM,

MVC, Agile

Skills

- Cyber Security

- Deep Learning, CV and NLP

- Software Engineering

- Mobile Application Dev.

- Computer Science Research

- Functional Programming

- Advanced Algorithms and DS

Languages

- Persian: Native

- English: Bilingual

- German: Advanced

- Arabic: Intermediate

- Russian: Beginner

- French: Beginner

Societies

- PUTNAM Math Club

- Rochester Math Olympiad

Club

- UTM Gameclub

- German meetup group

2018-20 COMPUTER VISION PROJECTS UTM

• Studied and Implemented various computer vision methods and algorithms, includ- ing: (1) Car detection with YOLO, 2) Face Recognition, 3) Art Generation with Neural Style Transfer, 4) Photo Stitching, 5) Scale-invariant Interest Point Detection, 6) Cor- ner Detection, 7) Content-aware Image Resizing.

2019-20 POLYGLOT, IOS AND ANDROID APPLICATION Independent

• As a computer scientist and an avid human language learner, I am building an appli- cation, that utilises fun-to-play mini-games to boost user engagement while enhanc- ing learning e cacy.

2016 ION CALCULATOR, ANDROID APPLICATION Independent

• To help high school students learn chemical ion combinations, designed and created an application, by merging the knowledge gained from my chemistry and program- ming courses. Achieved 5K+ downloads, and 4.6/5 user-rating. Link 2014-16 LINEAR ALGEBRA, ANDROID APPLICATION Independent

• To help students understand matrix operations, I combined what I learned from my first-year courses and designed an application, that visualizes every step taken when applying Gaussian elimination algorithm. Gained 5K+ downloads. Link

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