Hamid Reza Hassanzadeh

404-***-**** adbd5p@r.postjobfree.com Google Scholar Page

Objective and Work Authorization Status

Looking for a Full-Time Position

Permanent Resident

EXPERTISE

Data Science and Machine Learning

Deep Learning

Bioinformatics

Biomedical Engineering

Big Data

Classical Machine Learning

Integer Programming

Biomedical Engineering and Health Informatics

Cancer Prognosis

Omics, EHR, EMR data analysis

2D and 3D medical imaging

Bioinformatics

•Protein-Protein, Protein-DNA interactions

•Gene Prediction

EDUCATION

PhD Computer Science, Minor in Machine Learning GPA: 4.0/4.0 Nov 2019

Georgia Institute of Technology Atlanta, GA

MSc Computer Engineering, Artificial Intelligence GPA: 4.0/4.0 (highest GPA in class) June 2010

Ferdowsi University of Mashhad Mashhad, Iran

BSc Computer Engineering, Concentration in Computer Architecture GPA: 3.6/4.0 June 2008

The University of Tehran Tehran, Iran

SKILLS

Software Programming Languages and Big Data Tools: R, Matlab, Python, Perl, Java, C, C++, SQL, HTML, PHP, JavaScript, Hadoop (MapReduce, HDFS, Hive, Pig, HBase), Spark (SQL, MLlib, GraphX), IBM CPLEX

Deep Learning: Lua-Torch, Theano, TensorFlow (+GPU)

Web Programming Frameworks: Django, Express (react, node.js, redux), CSS, HTML, RESTful API, GraphQL, Apollo, Gatsby

Cloud Computing Frameworks: Amazon AWS, MS Azure, Google Cloud

Hardware Programming Languages: VHDL, Verilog (+Digital FPGA based design)

CAD/CAM and Design Tools: Webots (Robotics), Protel DXP (PCB design), ArcGIS

Operating Systems: Linux, Windows, Mac

Languages: English, Persian, Arabic

WORK EXPERIENCE

Internship: Data Science – Search and Personalization

Home Sep, 2018 – Feb, 2019

Implementing machine learning algorithms for improving the search outcome.

Internship: Data Science

Verizon Connect, Summer 2018

Data science work: Designed a Deep Recommender Systems for a product used by over 13 million customers.

Hadoop/Spark/Map Reduce/Hive

Internship: Data Science

UCB Pharma, Summer 2015

Designed, implemented and tested a deep network for prediction of the Parkinson’s disease, using Claim’s administrative data.

Used R, as the programming language.

Course Instructor

Kennesaw State University

Introduction to Matlab for Mechanical Engineers, Fall 2015

Graduate Teaching Assistant

Georgia Institute of Technology

Machine Learning, Fall 2014, Spring 2015, Spring 2018

Computational Problem Solving, Fall 2012, Spring 2013

PUBLICATIONS and WORKING PAPERS

1 Hamid Reza Hassanzadeh, …. “Systematic evaluation of multi-modal approaches to predict in-vivo transcription factor binding across cell types”, [Will be submitted to Cell this month]

2.J. Venugopalan, H. R. Hassanzadeh, L. Tong, “Multimodal Deep Learning Models for Alzheimer’s Disease Classification”, 2019, Scientific Report

3.H. R. Hassanzadeh, L. Tong, J. Phan, P. Wu, …, “Impact of RNA-Seq Data Analysis Algorithms on Gene Expression Estimation and Downstream Prediction”, 2016 [will be submitted to nature methods soon]

4.H. R. Hassanzadeh, M. Akbarzadeh, A. Akbarzadeh, A. Rezaei. "An interval-valued fuzzy controller for complex dynamical systems with application to a 3-PSP parallel robot." Fuzzy Sets and Systems 235 (2014): 83-100.

5.M. Yaghmaee, H. R. Hassanzadeh, "A Fuzzy Based Approach for Rate Control in Wireless Multimedia Sensor Networks." Amirkabir Journal of Science and Technology 4 (2012).

6.Bhatia, A. K., Tong, L., Hoffman, R., Wu, P., Hassanzadeh, H. R., Wang, M. D., & Deshpande, S. R. (2017). “Refinement of Automated Whole Slide Image Analysis in Pediatric Heart Transplants. The Journal of Heart and Lung Transplantation”, 36(4), S103-S104.

7.H. R. Hassanzadeh, M. Wang, “An Integrated Deep Belief Network to Predict Cancer Prognosis”, 2016, [will be submitted soon]

8.H. R. Hassanzadeh, P. Kolhe, C. Isbell, M. D. Wang “MotifMark: Finding Regulatory Motifs in DNA Sequences”, EMBC'17: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2017.

9.H. R. Hassanzadeh, Y. Sha, P. Braun, “DeepDeath: Learning to Predict the Underlying Cause of Death with Big Data”, EMBC'17: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2017.

10.H.R. Hassanzadeh, M. D. Wang "DeeperBind: Enhancing Prediction of Sequence Specificities of DNA Binding Proteins" Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on. IEEE, 2016. (Regular paper – 19% acceptance rate)

11.H. R. Hassanzadeh, J. Phan, M. D. Wang "A Multi-Modal Graph-Based Semi-Supervised Pipeline for Predicting Cancer Survival" Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on. IEEE, 2016. (Regular paper – 19% acceptance rate)

12.R. Hassanzadeh, A. Movaghar, H. R. Hassanzadeh “A Multi-Dimensional Fairness Combinatorial Double-Sided Auction Model in Cloud Environment” Telecommunications (IST), 2016 8th International Symposium on. IEEE, 2016.

13.H. R. Hassanzadeh, J. H. Phan, M. D. Wang “A Semi-Supervised Method for Predicting Cancer Survival Using Incomplete Clinical Data.” EMBC'15: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society; 2015: IEEE.

14.H. R. Hassanzadeh, M. Rouhani. "A multi-objective gravitational search algorithm." Computational Intelligence, Communication Systems and Networks (CICSyN), 2010 Second International Conference on. IEEE, 2010.

15.H. R. Hassanzadeh, H. Sadoghi, A. Vahedian, “Fuzzy Constraints in Linear Discriminant Analysis” Third Iranian Joint Congress on Intelligent Systems and Fuzzy Systems, 2009

Referee for Journals

Fuzzy Sets and Systems

Applied Soft Computing [invited]

Relevant Graduate Coursework

Deep Learning for Perception

Big Data Analytics for Healthcare

Computational Data Analytics

Comp Sci&Engr Algorithms

Graph Theory

Computational Sustainability

Computational Genomics

Bioinformatics

Bio Networks & Genomics

Integrated Cancer Biology

Contact this candidate