Mojtaba Sedigh Fazli

Ph.D. Candidate of Computer Science Doctorate In Business Administration
Email: mojtab@cs.uga.edu

I'm Mojtaba, a Ph.D. candidate who works under supervision of Dr. Shannon Quinn in the Computer Science Department of The University of Georgia. Previously, I got my Doctorate in Business Administration from University of Montesquieu Bordeaux IV under supervision of Prof. Jean Fabrice Leraty. My current research entails the development of computational pipelines to examine multiscale spatiotemporal dynamics of biological systems under different conditions. My dissertation focuses on how these spatiotemporal changes can be quantified and modeled to predict how the system under observation will respond to certain stimuli (drugs, pathogens, toxins). Currently I'm going to develop new deep computational architectures to incorporate novel unsupervised object detection and probabilistic object tracking.

Areas of Interest

Largescale Bio-imaging

Analysis of large-scale 2D and 3D videos, cell detection, segmentation & tracking, motion phenotype clustering.

Computer Vision

Video processing, image analysis, Object detection, segmentation and tracking.

Machine Learning

Image classification and clustering techniques, pattern recognition, dimensionality reduction, parameterization.

Deep Learning

Convolutional neural networks, GANs, Recurrent Neural Networks, Deep object segmentation and Tracking methods.

Skills

Coding (Python, Java, C++, R, Scala)
Big-data and data anlytics tools (Dask, Spark, Hadoop)
Machine-Learning and deep learning interfaces ( Keras, tensorflow, pytorch)
Management and business Skills ( like strategic planning, organization, risk management)
Project Management

Education

2015 - Present

Ph. D. Computer Science

The University of Georgia, GA, USA

"Deep and Scalable Methods for Biomedical Motion Tracking and Analysis", Advisor : Dr. Shannon Quinn

2009 - 2012

Doctorate in Business Administration (DBA)

University of Montesquieu Bordeaux IV, France

"Forecasting the Market-price of PET Polyester-chips for both Long-term and Short-term Periods, Using Intelligent systems.", Advisor : Prof. Jean-Fabrice Lebraty

2008 - 2009

Master in Economics and Management (M.Sc.)

University of Montesquieu Bordeaux IV, France

"Financial Forecasting Methodologies and their Performance on Econometrics, Application of Intelligent Systems", Advisor : Prof. Jean-Fabrice Lebraty

2002 - 2004

Master in Computer Engineering - Artificial Intelligence and Robotics(M.Sc.)

University of Science and Research of Tehran, Tehran, Iran

"Classification of Complex data , Using Hybrid Intelligent systems : Application in Biomedical Imaging", Advisor: Prof. Saeed Setayeshi

1998 - 2002

Bachelor of Computer Engineering - Hardware(B.Sc.)

Qazvin Azad University, Qazvin, Iran

"Active Networks", Advisor: Dr. Mehdi Dehghan

Work Experience

2016 - Present

Research Assistant

Researcher at Quinn group lab at The University of Georgia

2016 - 2018

Teaching Assistant

Department of Computer Science, The University of Georgia

2015 - 2016

Research Assistant

Joint Researcher at Cortical Architecture Image Discovery lab and Quinn group lab at The University of Georgia

Grants, Awards, Fellowships and other Acheivments

2019-2020 Georgia Informatic Institute Fellowship in Deep Learning and Visualization

Georgia Informatics Institutes Graduate Fellowships in Deep Learning and Visualization for the 2018 - 2019 academic year. This fellowship is awarded only to theUniversity’s most qualified individual to aid them in their academic pursuits. The estimated minimum value of this fellowship is around USD 53,000 including approximately USD 26,000 stipend for one year.

2019 James L. Carmon Scholarship & Award

The James L. Carmon Award is a very competitive, university-wide award presented to University of Georgia graduate students who have used computers in innovative ways. The award was established by the Control Data Corp. The scholarship value: 4,000 USD

2018-2019 Georgia Informatic Institute Fellowship in Deep Learning and Visualization

Georgia Informatics Institutes Graduate Fellowships in Deep Learning and Visualization for the 2018 - 2019 academic year. This fellowship is awarded only to the university’s most qualified individual to aid them in their academic pursuits. The estimated minimum value of this fellowship is around USD 53,000 including approximately USD 26,000 stipend for one year.

2018 IIRG: Innovative and Interdisciplinary Research Grant

2018 Innovative and Interdisciplinary Research Grant from the University of Georgia Graduate School. This grant is awarded only to the university most qualified research in intedisciplinary areas, the grant value: USD 2,500.

2018 SUMMER TRAVEL Award

This grant is dedicated to very limited students by Garduate School of the University of Georgia for continuing their research in other cities or travelling for paper presentations. The grant value: USD 950.

2016 BIG DATA SUMMER SCHOOL Award

Dedicated by the University of Washington as part of the costs covered for the summer school in Department of Bio-statistics of UW . The grant value: USD 1500 for waiving the tuition + USD 900 for travelling and accomodations.

Publications

M.S. Fazli, R. Stadler, B. AlAila, S. Vella, S. Moreno, G. E. Ward, and S. Quinn. "Lightweight and Scalable Particle Tracking and Motion Clustering of 3D Cell Trajectories." IEEE International Conference on Data Science and Advanced Analytics (DSAA).
[Accepted]

M.S. Fazli, S. Vella, S. Moreno, G. Ward, and S. Quinn. "Towards Simple & Scalable 3D Cell Tracking." 2018 IEEE International Conference on Big Data (Big Data).
[doi] [pdf] [code]

A. Durden, A. Loy, B. Reaves, M.S. Fazli, A. Courtney, F. D. Quinn, S. C. Chennubhotla, and S. Quinn. "Dynamic Social Network Modeling of Diffuse Subcellular Morphologies." 17th PYTHON IN SCIENCE CONFERENCE ( SCIPY 2018 ).
[doi] [pdf] [poster]

M.S. Fazli, S. Vella, S. Moreno, and S. Quinn. "Unsupervised Discovery of Toxoplasma gondii Motility Phenotypes." IEEE International Symposium on Biomedical Imaging 2018 (IEEE ISBI 2018).
[doi] [preprint] [poster] [code]

M.S. Fazli, S. Vella, S. Moreno, and S. Quinn. "Computational Motility Tracking of Calcium Dynamics in Toxoplasma gondii." KDD Bigdas Workshop. 2017 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017).
[pdf] [preprint]

M. Makkie, X. Li, B. Lin, J. Ye, M.S. Fazli, T. Liu, and S. Quinn. "Distributed Rank-1 Dictionary Learning: Towards Fast and Scalable Solutions for fMRI Big Data Analytics." KDDBHI Workshop. 2016 IEEE International Conference on Big Data (Big Data).
[preprint]

X. Li, M. Makkie, B. Lin, M.S. Fazli, I. Davidson, J. Ye, T. Liu, and S. Quinn. "Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis." ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016).
[doi] [pdf] [code]

M.S. Fazli, and J.F. Lebraty. "A Comparative Study on Forecasting Polyester Chips Prices for 15 Days, Using Different Hybrid Intelligent Systems." 2013 IEEE International Joint Conference on Neural Networks (IJCNN).
[pdf]

M.S. Fazli, and J.F. Lebraty. "A solution for Forecasting PET Chips Prices for Both Short-term and Long-term Price Forcasting, Using Genetic Programming." 2013 International Conference on Artificial Intelligence (ICAI).
[pdf]

M.S. Fazli, K. Keshavarzi, and S. Setayeshi. "Designing a hybrid neuro-fuzzy system for classifying the complex data, application on cornea transplant." 2013 International Conference on Artificial Intelligence (ICAI).
[pdf]

M.S. Fazli "Prévoir le prix des polyéthylène terephthalate (PET) en utilisant un système intelligent." Doctorate Thesis, université montesquieu bordeaux IV (2012) .

P.P Rezaeiyeh, M.S. Fazli, M. Gheysari. "Use HMM and KNN for Classifying Corneal Data." 11th international conference on data networks, DNCOCO '12 .

P.P Rezaeiyeh, M.S. Fazli, M Sharifzadeh, H Moghaddam, M Gheisari. "Creating an ontology using protégé: concepts and taxonomies in brief." 14th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering (MACMESE '12) .

P.P Rezaeiyeh, M.S. Fazli, et. al. "Use HMM and KNN for Classifying Corneal Data." Journal of Soft Computing and Software Engineering [JSCSE] .

S. Ghanizadeh, M.S. Fazli, "Application of Genetic Algorithm on Heat Exchanger Network Optimization." Research Journal of Applied Sciences, Engineering and Technology .

Contact

Address
537A Boyd Graduate Studies Research Center
Athens, GA, USA 30606
Email
mojtaba@uga.edu