Hamed Javidi

Machine Learning Engineer

Career Summary

An experienced scientific researcher with a demonstrated history of working in the research industry. Skilled in Machine/Deep learning, optimization algorithms, data science, Hardware Engineering, and algorithms.

Work Experience

Graduate Research Assistant

Cleveland Clinic
Auguest 2020 - Present

Achievements:

  • Created a comprehensive large-scale simulation clinical dataset for performance analysis of various DL models.
  • Developed DL models (e.g., CNNs, RNNs, and Transformers) for different diseases predictions.
  • Designed novel deep learning models using longitudinal clinical data with innovations.
  • Analyzed 30+ customized DL models over 2000+ datasets to identify the top DL models.
  • Performed data cleaning, statistical analyzing, genomic data processing, and visualizing big data sets using R, Python, PLINK, and Tableau.
  • Proposed hypotheses besides published high impact journal papers and prepared report summaries and presented research findings besides collaborations with partner researchers and clinicians.

Technologies used:

  • Python
  • Tensorflow
  • Deep learning
  • LLMs
  • Bioinformatics
  • R
  • Tableau
  • PLINK
  • ANNOVAR
  • UK BioBank
  • Git
  • Bash
  • SLURM

Graduate Research Assistant

Center for Human-Machine Systems, Cleveland State University
January 2019 - July 2010

Achievements

  • Developed 10+ algorithms to find multi-objective optimized matching and evaluated them on a rideshare simulator
  • Designed an optimized matching algorithm for online ridesharing problem using evolutionary optimization algorithms and classification methods.
  • Performed feature analysis and identified significant features using machine learning methods.
  • Published 3 papers for international conferences.

    • Technologies used:

    • C++
    • Python
    • Optimization Algorithms
    • Genetic Algorithms
    • Particle Swarm Optimization
    • Biogeography-Based Optimization
    • Simulated Annealing
    • Stochastic Gradient Descent Optimization
    • MATLAB
    • Classification
    • Clustering
    • GAMS
    • AMPL
    • LaTex

    Research Assistant

    HPCAN Lab, Sharif University of Technology
    August 2015-August 2018

    Solid State Disk based near data processing.

    Employed Intel Vtune to analyze diverse algorithms, expertly identifying and addressing performance bottlenecks of scientific tools such as bioinformatics applications.

    Audited Bioinformatics I and II courses, independently acquiring essential knowledge for the project.

    Technologies used:

    • Computer Architecture
    • SSD Simulators
    • Intel Vtune
    • Performance Profiling
    • C#
    • C++
    • Non-volatile Memories
    • Solid State Disk
    • Phase-Change Memory
    • GPU
    • Docker

    Computer Engineer

    Niroo Research Institute, Iran
    May 2013-June 2014

    Experience working with sensor technology.

    C/C++ programming for ARM Cortex-M microcontroller

    Communication methods, such as RS232, RS422, I2C, SPI, LVDS, USB, Ethernet, and CAN

    Designed and implemented an industrial high voltage circuit breaker tester.

    Conducted reliability measurements of a high-voltage circuit breaker using Markov chain analysis.

    Technologies used:

    • Embedded Systems
    • ARM Cortex-M4
    • C++
    • Altium Designer
    • Multisim
    • OrCAD
    • Markov Chain Analysis
    • Reliability analysis
    • Programmable Graphic Display
    • Communication Protocols
    • Embedded Processors

    Backend developer(Intern)

    Rahnema
    October 2011-January 2012

    Developed text-based services for mobile customers; handling transactions and user queries

    Technologies used:

    • PHP
    • MySQL
    • Laminas(Zend)
    • HTML
    • SMS-based services

    Embedded Systems Technician(Intern)

    Andishe Sazan Sanat
    June 2009-September 2009

    Designed and implemented electronic circuit and kit like automatic door and smart home controllers.

    Technologies used:

    • AVR microcontrollers
    • PLC
    • HMI
    • WINCC
    • Proteus

    Hardware Technician(Intern)

    Ferdowsi University of Mashhad
    June 2007-September 2007

    • Network administration, troubleshooting network issues, maintaining LAN infrastructure, and providing support for computer hardware repairs, including printers, monitors, and motherboards.

    Technologies used:

    • LAN
    • Windows Server
    • Active Directory
    • Hardware debigging
    • Network debugging
    • Restore/Backup

    Skills & Tools

    Software

    • Python
    • C/C++
    • Java
    • C#

    Machine Learning

    • Algorithms
    • Mathematics
    • Deep learning
    • Modeling and Evaluation

    Hardware

    • X86/ARM architecture
    • H/W co-design
    • Performance analysis
    • Digital circuit design

    Others

    • Optimization algorithms
    • Parallel programming
    • CUDA
    • Bioinformatics
    • Tableau
    • Linux
    • Debugging
    • Bash
    • SQL
    • Virtualization

    Education

    • PhD in Computer Science
      Cleveland State University
      2019 - 2024
    • MSc Computer Engineering
      Sharif University of Technology
      2010 - 2013
    • BSc Computer Engineering
      Khayyam University
      2005 - 2009

    Awards

    • Graduate Student Excellence Award
      Recognizing outstanding scientific contribution or achivements among a cohort of 200 graduate students at Cliveland Clinic
    • Top-ranked graduate
      Out of 90 students upon completion of the bachelor's program

    Language

    • English (Professional)
    • Persian (Native)
    • French (Beginner)

    Interests

    • Planting
    • Kayaking
    • Camping
    • Biking

    LEADERSHIP AND SERVICE EXPERIENCE

    Vise-president, Students of Iranian Origin organization, CSU | August 2019-2023

    Research poster judge of undergraduate students, Cleveland Clinic | August 2023

    Executive Board Member, CHMS Lab, CSU | January 2019-August 2020

    Reviewer: SAE Journal of Sustainable Transportation, Energy, Environment, & Policy (2022,2023), IEEE Transactions on Sustainable Computing (2022), Machine Learning for Healthcare(ML4H 2021-2023), Design Automation Conference (DAC 2018), Real-Time and Embedded Systems and Technologies (RTEST 2016)

    Patents

    H. Javidi, "Building Energy Management System for Hybrid-Energy Buildings", Number: Iran 79969, 2013.

    H. Javidi, "Automatic Partitur Turner", Number: Iran 75528, 2012.

    H. Javidi, "Building Management System via Ethernet", Number: Iran 71768, 2011.

    Publications

    Hamed Javidi, et. al, An Interpretable Predictive Deep Learning Platform for Pediatric Metabolic Diseases, Journal of the American Medical Informatics Association (IF:8), 2024.

    Hamed Javidi, et. al, Identification of Robust Deep Neural Network Models of Longitudinal Clinical Measurements, Nature Digital Medicine (IF:15.2), 2022.

    Hamed Javidi, D. Simon, A multi-objective optimization framework for online ridesharing systems, IEEE International Conference on Big Data and Smart Computing (BigComp), 2021.

    A. Shamshirgaran, H. Javidi, D. Simon, Evolutionary Algorithms for Multi-Objective Optimization of Drone Controller Parameters, IEEE Conference on Control Technology and Applications (CCTA), 2021.

    A. Shamshirgaran, H. Javidi, D. Simon, Tuning of Drone PD Controller Parameters for Medical Supplies Delivery, IEEE International Conference on Robotics and Automation (ICRA), 2021.

    H. Javidi, M. Goudarzi, TABEMS: Tariff-Aware Building Energy Management System for Sustainability through Better Use of Electricity, Computer Journal, Oxford Press, 2014.

    SELECT PROJECTS

    An automated Covid-19 detection from CT scan and X-ray radiograph images using a customized CNN based on VGG16. CSU, 2021.

    Predicted the outcome of the 2020 US presidential election: performed sentiment analysis on a massive dataset of billions of tweets specifically related to the November general election. CSU, 2020.

    Predicting tip payers based on New York taxicab dataset and did these items: preprocessing and datamining on the dataset, feature selection using regression/correlation analysis, create a prediction model using 4 different supervised learning methods using Python and MATLAB. CSU, 2019.

    Analyzed and compared resistance drift management techniques in phase-change memory (PCM). SUT, 2016.

    Process Variation in network on chip. SUT, 2016.

    Conducted hardware verification and validation testing of a 32-bit CRC checker unit, SUT, 2016.

    Designed an efficient interconnection network for scalable SSDs, Sharif University of Technology, 2015.

    Developed a barcode scanner app for Android phones, 2014.

    Developed a smart building simulator for analyzing electrical energy consumption, SUT, 2012.

    A hardware-software co-design to accelerate AES algorithm on FPGA, SUT, 2011 (recognized as the best project).

    A high-performance GPU implementation of Cartesian-Polar Matrix Interpolation, SUT, 2010 (recognized as the best project).

    Obtained and analyzed memory access pattern of a processor (Leon II) with and without cache, SUT, 2011.

    Implemented a remote robot control system based on DTMF of mobile phone, SUT, 2011 (Best project).

    Conducted a research study on fault injection approaches in real-time operating systems, SUT, 2010.

    Designed and implemented a remote control and monitoring system by cellular phone, 2009.

    Designed and implemented a smart HVAC controller system, 2009.

    Implemented a USB Programmer for AVR microcontroller, 2009.

    Designed and implemented of small UPS for attendance system, 2008.

    Developed an engineering calculator app specifically designed for Java (J2ME) phones, 2007.