I am studying Ph.D. in Computer Science and Engineering at the University of Nevada. I am interested in Software Systems, IoT Systems, Machine Learning, Cloud Computing, High Performance Computing, and DevOps and so I am both software and cloud engineer. For more information you can download my CV.
Generally my research interests lies in Software Systems, Cloud Computing, IoT, Machine Learning, Distributed Systems, and High Performance Computing. Previously, I worked on parallel filesystem and high performance data transfer in research and education institutions for large-scale science applications. Currently, I am doing my research on Federated Learning, privacy preserving distributed learning and IoT environment. My masters thesis was about workflow scheduling in Workflow as a Service environment and I am also interested in topics such as stream processing and function scheduling in server-less computing environment as well.
Expert in Python, JAVA, C++, MATLAB.
Familiar with HTML, CSS, Javascript, VHDL, Verilog, Assembly, Erlang, QT Quick, QML.
Flask, NumPy, Pandas, OpenCV, Keras, TensorFlow, JQuery, bootstrap, angular1, SASS, React.js.
OpenStack, Ceph storage cluster, Lustre File system, Git, Docker, Prometheus, ELK Stack.
PostgreSQL, SQL Alchemy, MongoDB, Mongoengine, Pymongo, MySQL, SQLite.
CloudSim, CPN tools, PIPE (petri net modeling), Packet Tracer, Xilinx, Circuit maker2000.
Windows
Linux (Ubuntu, CentOS)
E. Saeedizade, B. Zhang, E. Arslan, "Demystifying the Performance of Data Transfers in High-Performance Research Networks", is accepted to IEEE eScience 2023.
E. Saeedizade, R. Taheri, E. Arslan, "I/O Burst Prediction for HPC Clusters using Darshan Logs", is accepted to IEEE eScience 2023.
F. A. Chetabi, M. Ashtiani, E. Saeedizade, "A Package-Aware Approach for Function Scheduling in Serverless Computing Environme",
Journal of Grid Computing, 2023.
DOI:10.1007/s10723-023-09657-y
M. A. Haghpanah, E. Saeedizade, M. Tale Masouleh, A. Kalhor, "Real-Time Facial Expression Recognition using Facial Landmarks and Neural Networks"
Proc. of the 2nd International Conference on Machine Vision and Image Processing (MVIP), Ahvaz,
Iran, Feb. 23-24, 2022.
DOI:10.1109/MVIP53647.2022.9738754
E. Saeedizade and M. Ashtiani, "DDBWS: a dynamic deadline and budget-aware workflow scheduling algorithm in workflow-as-a-service environment"
DOI:10.1007/s11227-021-03858-6
E. Saeedizade and M.Ashtiani, "Multi-constraint dynamic scheduling of scientific workflows in cloud with multi-resource packin>
Scrum Fundamentals Certified (SFC) at SCRUMstudy - Feb 2023. CredentialURL
Preparing for Google Cloud Certification: Cloud DevOps Engineer Specialization at Coursera - June 2022. CredentialURL
Preparing for Google Cloud Certification: Cloud Engineer Specialization at Coursera - June 2022. CredentialURL
Architecting with Google Kubernetes Engine Specialization at Coursera - July 2020. CredentialURL
Architecting with Google Compute Engine Specialization at Coursera - July 2020. CredentialURL
Network+ - Iran University of Science and Technology - Summer 2015.
Was awarded Third Place for poster presentation at the UNR 4th annual Cybersecurity Conference - October 2023.
Was Offered a position for direct master’s degree in Computer Engineering at Iran University Science and Technology - Fall 2018.
National Game Analytic Dashboard Design Tournament, Second place, Iran - Fall 2017.
Ranked Third among B.Sc. students of Computer Engineering major, Iran University Science and Technology - Fall 2015.
25th International Computer Conference (CSICC-2020), Executive member (Volunteer) - 2020.
IUST Cloud Computing Center (CCC), Executive member (Volunteer) - 2018-2020.
Natural Language Processing Laboratory Tester - 2017.
PyCon, Iran University Science and Technology, Executive member - 2016.
ACM Contest, Iran University Science and Technology, Executive member - 2015.