burakaksar.github.io/_config.yml at master · aksarburak/burakaksar.github.io · GitHub

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# Site
repository: sproogen/resume-theme
favicon: images/favicon_ai.png

# Content configuration version
version: 2

# Personal info
name: Burak Aksar
title: PhD Candidate
email: baksar@bu.edu
# website: https://www.burakaksar.com/

# Dark Mode (true/false/never)
darkmode: false

# Social links
twitter_username: skyraxai
github_username:  aksarburak
linkedin_username: burakaksar
orcid_username: 0000-0003-3627-7311

# Additional icon links
# additional_links:
# - title: itsgoingto.be
#   icon: fas fa-globe
#   url: https://www.itsgoingto.be
# - title: another link
#   icon: font awesome brand icon name (eg. fab fa-twitter) (https://fontawesome.com/icons?d=gallery&m=free)
#   url: Link url (eg. https://google.com)

# Google Analytics and Tag Manager
# Using more than one of these may cause issues with reporting
# gtm: "GTM-0000000"
# gtag: "G-RHY2R0J02K"
google_analytics: "G-RHY2R0J02K"

# About Section
# about_title: About Me
about_profile_image: images/profile.jpg
about_content: | # this will include new lines to allow paragraphs
  Hi, this is Burak. I am a PhD candidate at Boston University, working under the supervision of Prof. Ayse Coskun
  in [PeacLab](https://www.bu.edu/peaclab/) research group.

  Broadly, I am interested in solving real-world problems using machine learning. My research focuses on designing and developing
  ML-based frameworks to optimize the performance of large-scale computing systems considering the explainability angle.

  But hey, I'm not just about the tech wizardry—I'm also on the prowl for the juiciest updates in the startup universe. My tech stack and some stuff that I have experience on:

  * Python, C++, Java (I am not a fan of Java)
  * Tensorflow, Pytorch
  * Dask, Scrapy
  * AWS (ECS, Lambda, Sagemaker, Step Functions, GraphQL, ECR)
  * Flask, Django, Docker
  * Learning Node.js, React, and Typescript - Only when I have time

content:

  - title: Publications # Title for the section
    layout: list # Type of content section (list/text)
    content:
      - layout: top-middle
        # title: Super awesome project
        # link: github.com/sproogen
        # additional_links:
        #   - title:  sproogen/modern-resume-theme
        #     icon: fab fa-github
        #     url: github.com/sproogen/modern-resume-theme

        description: | # this will include new lines to allow paragraphs

          [1] **Burak Aksar**, Efe Sencan, Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, Jim Brandt, Brian Kulis, and Ayse K. Coskun Prodigy: Towards Unsupervised Anomaly Detection in Production HPC Systems. To be appear in ACM The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), November 2023.

          [2] **Burak Aksar**, Efe Sencan, Benjamin Schwaller, Vitus J. Leung, Jim Brandt, Brian Kulis, and Ayse K. Coskun. Towards Practical Machine Learning Frameworks for Performance Diagnostics in Supercomputers. In ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), June 2023

          [3] **Burak Aksar**, Yara Rizk, Tathagata Chakraborti, Kartik Talamadupula. TESS: A Multi‑intent Parser for Conversational Multi‑Agent Systems with Decentralized Natural Language Understanding Models”. Submitted to ACL 2023.

          [4] Tathagata Chakraborti, Yara Rizk, Vatche Isahagian, **Burak Aksar**, Francesco Fuggitti. From Natural Language to Workflows: Towards Emergent Intelligence in Robotic Process Automation. In International Conference on Business Process Management (BPM), July 2022.

          [5] **Burak Aksar**, Efe Sencan, Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, Jim Brandt, Brian Kulis, and Ayse K. Coskun. ALBADross: Active Learning Based Anomaly Diagnosis for Production HPC Systems. In IEEE International Conference on Cluster Computing (Cluster), July 2022. [Code](https://github.com/peaclab/ALBADross)

          [6] Yijia Zhang, **Burak Aksar**, Omar Aaziz, Benjamin Schwaller, Jim Brandt, Vitus J. Leung, Manuel Egele, and Ayse K. Coskun. Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation. In High Performance Extreme Computing Conference (HPEC), Sept. 2021.

          [7] **Burak Aksar**, Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, Jim Brandt, Manuel Egele, and Ayse K. Coskun. E2EWatch: An End-to-end Anomaly Diagnosis Framework for Production HPC Systems. In International European Conference on Parallel and Distributed Computing (Euro-Par), August 2021. [Code](https://github.com/peaclab/E2EWatch)

          [8] **Burak Aksar**, Yijia Zhang , Emre Ates, Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, Jim Brandt, Manuel Egele, and Ayse K. Coskun. Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems. In International Supercomputing Conference (ISC-HPC), June 2021. [Code](https://github.com/peaclab/Proctor)

          [9] Emre Ates, **Burak Aksar**, Vitus J. Leung, and Ayse K. Coskun. Counterfactual Explanations for Multivariate Time Series. In Proceedings of IEEE International Conference on Applied Artifical Intelligence (ICAPAI), May 2021. [Code](https://github.com/peaclab/CoMTE)

          [10] Emre Ates, Yijia Zhang, **Burak Aksar**, Jim Brandt, Vitus J. Leung, Manuel Egele, and Ayse K. Coskun. HPAS: An HPC Performance Anomaly Suite for Reproducing Performance Variations. In International Conference on Parallel Processing (ICPP 2019), pp. 1-10, Aug. 2019. [Code](https://github.com/peaclab/HPAS)


  - title: Experience # Title for the section
    layout: list # Type of content section (list/text)
    content:
      - layout: left
        title: IBM AI Research
        sub_title: Research Scientist Intern
        caption: May 2022 - Aug. 2022
        description: | # this will include new lines to allow paragraphs
          - Researched the NLP explainability techniques for conversational multi‑agent systems (CMAS)

          - Evaluated existing NLP explainability frameworks and prototyped a new framework for a CMAS

      - layout: left
        title: IBM AI Research
        sub_title: Research Scientist Intern
        caption: June 2021 - Sept. 2021
        description: | # this will include new lines to allow paragraphs
          - Developed a multi-intent classification algorithm with a heuristic parser and natural language understanding models for a multi-chatbot system

          - Conducted tests and deployed the parser to the production pipeline

      - layout: left
        title: Sandia National Labs
        sub_title: Machine Learning SDE Intern
        caption: July 2020 - Sept. 2020
        description: | # this will include new lines to allow paragraphs
          - Designed and developed an ML pipeline for run-time performance anomaly detection

          - Deployed the pipeline to a production computing cluster with 1,488 nodes

      - layout: left
        title: Sandia National Labs
        sub_title: Machine Learning Research Intern
        caption: May 2019 - Aug. 2019
        description: | # this will include new lines to allow paragraphs
          - Researched on hardware & software level performance variations in HPC systems

          - Developed LSTM-based machine learning model to forecast time-series based performance metrics in HPC production systems

  - title: Education # Title for the section
    layout: list # Type of content section (list/text)
    content:
      - layout: left
        title: Boston University
        caption: 2018 - 2022
        sub_title: PhD Computer Engineering
        description: | # this will include new lines to allow paragraphs
          - GPA: 3.8

          - Coursework: Machine Learning, Deep Learning, Learning from Data, Fairness in AI, Advanced Data Structures
      - layout: left
        title: Sabanci University
        caption: 2013 - 2018
        sub_title: BSc Electronics Engineering
        description: | # this will include new lines to allow paragraphs
          - GPA: 3.9

          - High Honor(100%) Scholarship

  # - title: A Little More About Me
  #   layout: text
  #   content: | # this will include new lines to allow paragraphs
  #     Alongside my interests in networks and software engineering some of my other interests and hobbies are:
  #     - Rock climbing
  #     - Gaming
  #     - Knitting
  #     - [Becoming a ninja](https://www.youtube.com/watch?v=vtg4o__aRMg)
# Footer
footer_show_references: true
# references_title: References on request (Override references text)

# Build settings
remote_theme: sproogen/resume-theme

sass:
  sass_dir: _sass
  style: compressed

plugins:
 - jekyll-seo-tag