curriculum vitae
General Information
Full Name | Nikan Doosti |
Date of Birth | November 1996 |
Languages | Persian (Native), English (proficient) |
Education
- Aug 2019 - Dec 2022
Master of Computer Engineering - Artificial Intelligence
Iran University of Science and Technology, Tehran, Iran
- Thesis Title: High Resolution Neural Topology Optimization via Differentiable Physics Engine
- Defended with Full mark on 22 Oct 2022
- GPA: 17.17/20.00
- Aug 2015 - Aug 2019
Bachelor of Computer Engineering
University of Guilan, Rasht, Iran
- Final Project: Descreening and Rescreening of Halftone Images via Data-Driven Deep Learning Methods
- Class Rank: 3rd
- GPA: 18.64/20.00
Publications
- 2021
- Doosti, Nikan, Julian Panetta, and Vahid Babaei. "Topology Optimization via Frequency Tuning of Neural Design Representations." In Symposium on Computational Fabrication, pp. 1-9. 2021. (ACM)
Talks
- 2022
- Doosti, Nikan. 2022. "Neural Design Representations." Toronto Geometry Colloquium. March 4, 2022. toronto-geometry-colloquium.github.io. (Length: 10 mins., Video)
Research Experience
- Jul 2020 - Mar 2021
Research Assistant
Artificial Intelligence aided Design and Manufacturing Group at Max Planck Institute for Informatics, Saarbrücken, Germany
- Novel self-supervised neural method for obtaining the optimum design showcased in Topology Optimization
- Supervision of Dr. Vahid Babaei
- Collaboration of Prof. Julian Panetta at University of California, Davis, USA
- Physics-based simulation of stiffness of the obtained design
- Generative continuous design via a single fixed mesh through controlling the frequencies
- This project has been published and presented in ACM Symposium on Computational Fabrication 2021
- This project was defined as my master's thesis
Work Experience
- April 2022 - Present
Full-time Machine Learning Engineer
Nahal Gasht, Karaj, Iran
- Counseled employees, software engineers, and managers on revamping the data architecture, resulting in mitigating bad data by at least %35
- Designed a full pipeline of data extraction, transformation, and loading targeting data science applications
- Integrated gamification objectives in designing and training machine learning models to produce engaging and informative user interactions
- Advocated for using best practices such as proper documentation, git, and open source, which led to full utilization of these topics in the daily workflow of the IT department
Teaching Experience
- Aug 2018 - Feb 2019
Head Teaching Assistant
Advanced Programming, University of Guilan
- Supervision of Dr. Ghasem Mirroshandel
- Taught undergraduate students Java programming language in weekly 4-hour sessions
- Designed and graded their assignments and the final project
- Aug 2018 - Feb 2019
Head Teaching Assistant
Algorithms Design, University of Guilan
- Supervision of Dr. Mojtaba Shakeri
- Held weekly 2-hour QA sessions and graded the assignments
- Feb 2018 - July 2018
Head Teaching Assistant
Computational Intelligence, University of Guilan
- Supervision of Dr. Mojtaba Shakeri
- Designed programming assignments (Material)
- Held weekly 2-hour QA sessions and graded all the assignments
Voluntary Activities
- 2018-present
Mentor and Lecturer in Rasht School of AI
- An Open and Free Organization For Introducing AI and Mentorship
- Held lectures around applications of AI, particularly digital image processing (slides)
- Mentored few students who were interested in artificial intelligence and its applications
- 2019-2021
Organizer and Mentor in IUST Projects
- An Open and Free Organization For Sharing Ideas, Showcasing Projects and Mentoring Students
- Attempted to challenge the siloed culture of the university through having open scientific/general discussions
- Mentored junior students in preparation for going through M.Sc thesis process; from ideation to publishing
- 2018-present
Member in Official PyTorch Forum
- Official forum with +50K members and authors of the PyTorch
- A top member (15th) with 183 solutions and 566 posts (summary)
- Commended by Thomas Viehmann for insightful posts
Honors and Awards
- 2019
- Accepted in M.Sc program without Entrance Exam as an Exceptional Talent
- Tuition Waiver, M.Sc, Iran University of Science and Technology
- 2015
- Tuition Waiver, B.Sc, University of Guilan
- Ranked 3rd among B.Sc graduates in Computer Engineering at University of Guilan
Research Interests
- Deep Learning
- Computer Graphics
- Physics-based Simulation
- Computational Fabrication
- Computational Neuroscience
- Digital Image Processing
Other Interests
- Video Games: Experiencing untouchable. Top-3: DoTA2, GTA, Battlefield
- History: History repeats itself (although it's been written by winners!).
- Nature: Rhymes with my harmony, chaotic yet full of patterns