Engineer Assistant

ZAHRA ANVARI

adjacf@r.postjobfree.com 817-***-**** github.com/zanvari

RESEARCH INTERESTS

I have broad research interests in Machine Learning, Deep Learning and Computer Vision. EDUCATION

University of Texas at Arlington Arlington, TX

Ph.D. Candidate of Computer Science, GPA: 4.0/4.0 Aug. 2015 - May 2021 (Expected) Advisor: Vassilis Athitsos

Urmia University Urmia, IR

Master of Computer Engineering, GPA: 3.8/4.0 2010-2013 Shahid Rajaee University Tehran, IR

Bachelor of Information Technology Engineering 2004-2008 EXPERIENCE

University of Texas at Arlington Arlington, TX

Research Assistant August 2016 - Present

Developed a GAN-based image-to-image translation network with U-Net generators for unpaired image de-hazing.

Introduced a realistic haze dataset, Sun-Haze, and benchmarked and evaluated the de-hazing methods over this dataset.

Worked on face detection and clustering and developed an automatic face dataset creation pipeline. Wave Computing Inc. Campbell, CA

Deep Learning Intern May 2019 - November 2019

Implemented a pipeline for enhanced emotion and face detection for retail store analysis.

Our pipeline improved the accuracy of emotion detection by 16%.

Benchmarked the performance of di erent super-resolution methods, e.g., SRGAN, ESRGAN, for retail store analysis.

Benchmarked the performance of di erent face detection methods: OpenCV Haar Cascades, Dlib HOG, Dlib CNN, MTCNN, and Mobilenet-SSD.

Adopted reconstruction techniques like deblurring, denoising, contrast enhancement, and deblocking.

Built a real-time visual sentiment classi er based on a customized miniXception network.

Utilized di erent object tracking methods such as YOLOv3 with deep SORT, and ROLO (Recurrent YOLO) to track customers in the retail store application. ACECR, Sharif University Branch Tehran, IR

Software Engineer June 2013 - June. 2015

Designed and implemented several vehicular applications such as Centralized Tra c Data Collection, Work-Zone Warning, and Zone-Based Tra c Data Collection. PUBLICATIONS

• Deep Face Clustering: A Survey, Zahra Anvari and Vassilis Athitsos, Under preparation

• Enhanced CycleGAN Dehazing Network, Zahra Anvari and Vassilis Athitsos, To appear in 16th International Conference on Computer Vision Theory and Applications, Vienna, Austria, 2021.

• Evaluating Single Image Dehazing Methods Under Realistic Sunlight Haze, Zahra Anvari and Vassilis Athitsos, In proceedings of 15th International Symposium on Visual Computing, San Diego, CA, 2020.

• A Pipeline for Automated Face Dataset Creation from Unlabeled Images, Zahra An- vari and Vassilis Athitsos, In proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, ACM, 2019. AWARDS AND SERVICES

Paper Reviewer: IEEE Winter Conf. on Applications of Computer Vision (WACV), 2020 Kelcy Warren Graduate Fellowship for Engineering, University of Texas Arlington, 2020 Third Place in 28th Khwarizmi International Award, Design and Implementation of Connected Vehicle Systems, 2016.

ACADEMIC PROJECTS

• Deep Learning: Implemented YOLO for car detection in autonomous driving in Keras.

• Deep Learning: Implemented COVID-19 detection on Chest X-Ray dataset using ResNet18 in PyTorch.

• Deep Learning: Implemented language translation models using RNN (for word translation) and LSTM (for text translation) in Tensor ow/Keras.

• Deep Learning: Implemented Mask R-CNN for instance segmentation.

• Neural Networks: Built a model for real-time face recognition using FaceNet.

• Neural Networks: Implemented a deep CNN for face recognition in Tensor ow, called SphereFace, from scratch.

• Machine Learning: Implemented a Naive Bayes classi er to classify news articles.

• Machine Learning: Implemented an SVM classi er for face recognition problem. CERTIFICATES

Deep Learning Specialization 2018

Coursera, (Taught by Andrew Ng)

The Ultimate Hands-on Hadoop 2020

Udemy

Spark/PySpark 2020

Udacity

TECHNICAL SKILLS

Programming Languages Python, C/C++, MATLAB

Machine/Deep Learning/data analysis Tools Pytorch, Tensor ow, Keras, Ca e, scikit-learn Computer Vision Tools OpenCV, DLib

Big Data and data management Tools Hadoop, Saprk, MySQL, MonogoDB Libraries Numpy, Pandas, SciPy, Matplotlib, NLTK

OS Linux (Ubuntu), Windows

Misc Git, Docker, AWS, Jupiter Notebook, ONNX

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