Hojune Kim Email & Phone Number
Who is Hojune Kim? Overview
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Hojune Kim is listed as Teaching Assistant at Swarthmore College, a with 28 employees, based in Swarthmore, Pennsylvania, United States. AeroLeads shows a matched LinkedIn profile for Hojune Kim.
Hojune Kim previously worked as Research Intern at Carnegie Mellon University Robotics Institute and Founder at Ofcourse. Hojune Kim holds Bachelor Of Science - Bs, Mathematics And Engineering [Dual Degree], 3.92/4.00 from Swarthmore College.
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About Hojune Kim
As a student of Engineering and Mathematics at Swarthmore College, I am passionate about applying mathematical concepts to solve real-world problems. In every project I undertake, I consider the human factor and strive to use my knowledge to improve lives.One of my ongoing projects is an interactive website that automates university course scheduling, which I founded and developed myself. Unlike other course schedule optimizers that only consider professors' preferences, ours takes input from both students and professors, satisfying both parties simultaneously. By employing optimization algorithms, we generated a schedule with near-zero course conflicts for the entire student body while accommodating the preferred times for professors at Swarthmore.In addition to addressing the university course scheduling problem at Swarthmore College, I am a passionate robotics engineer. I lead the Swarthmore Robotics Club, where we build a robot designed to carry a backpack in an indoor setting. Currently, I am also developing a decentralized safety-guarantee navigation algorithm for multi-mobile-robot systems at the CMU Robotics Institute.I am always eager to learn new skills and explore new domains. I am open to potential collaborations and opportunities. If you're interested in learning more or working with me, please feel free to connect with me on LinkedIn.
Hojune Kim's current company
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Hojune Kim work experience
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Research Intern
Current- Developing a decentralized safety-guarantee navigation algorithm for multi-mobile-robot systems operating in unknown environments. - Utilizing Learning-enabled Risk-aware Weighted Buffered Voronoi Tessellation to ensure the safety of all agents without imposing restrictions on the robots' controls.
Teaching Assistant
CurrentTA for ENGR 028: Mobile Robotics (2024 Fall)TA for ENGR 027: Computer Vision (2024 Spring)TA for ENGR 019: Numerical Analysis for Engineering Application (2023 Fall)
Founder
Current- Conceptualized and created a computer program to automate university course scheduling, enabling more students to enroll in their desired courses while accommodating professors’ personal preferences.- Collaborated across departments to define multifaceted problems, gather necessary input data, and integrate various factors, such as professors' personal schedules, students' course preferences, and room features.- Developed a graph-based algorithm that allocates over 700 class sections into 15 time slots, efficiently creating an optimal schedule tailored to accommodate each undergraduate student's top four course preferences.- Pivoted from a solution-generating program to an interactive web-based platform, facilitating data-driven communication between professors and staff for schedule coordination. This change was made in response to professor feedback favoring autonomy in class scheduling.- Projected to launch a beta test in Spring 2024 in partnership with Swarthmore’s Registrar’s Office.
Undergraduate Research Assistant
- Benchmarked Generative Adversarial Networks (GANs), Variational AutoEncoders (VAEs), and Diffusion Models on 2D image reconstruction tasks, driving insights for strategic model selection- Developed a Physics-informed Variational AutoEncoder model (CT_NVAE) for CT images using NVAE model, reducing patients' X-ray exposure up to 90%- Parallelized the preprocessing and training pipeline, allowing the CT-NVAE model to be trained on a 500GB brain CT dataset
Design Intern At Center For Innovation And Leadership
- Responsible for ideating, creating, planning, and implementing a design project over the course of the academic year that impacts Swarthmore community - Conducted a comprehensive analysis of the student experience through multiple interviews, google form surveys, and stakeholder meetings
Undergraduate Research Assistant
- Implemented a sensor fusion between radars and cameras to generate a real-time 3D image- Applied BinsFormer neural network on a 200 GB KITTI dataset using AWS S3 and PaperSpace virtualenvironment
University Innovation Fellow
- Chosen as one of four University Innovation Fellows at Swarthmore College after completing an intense six-week virtual bootcamp program from the Stanford d.school, which included applying design thinking and prototyping concepts in a Swarthmore environment.
Undergraduate Research Intern - Vision And Ai Lab
- Assisted in preprocessing point cloud data to complete in Waymo Open Dataset Challenge in CVPR 2022- Programmed and optimized CNN-based bird species classifier and improved accuracy by fine-tuning the EfficientNet-B4 model- Pre-processed real electrocardiogram data from Apple Watch to fit CNN based ECG classifier model
Signaller, Information And Strategy Specialist
- Used Microsoft Excel to reconstruct database for +100 soldiers’ training records - Managed version control for 30+ confidential documents such as 60 Division Operational Plan 5015, Communication Operation Instructions- Placed first on the 2020 60th Division book review contest- Received an excellence warrior badge on the 2021 Korean Army Fitness Test
Laboratory Assistant
- Assisted the research on finding the relationship between the angle of the superconductive-material Haloscope and its Q factor by using the COMSOL simulation
Hojune Kim education
Bachelor Of Science - Bs, Mathematics And Engineering [Dual Degree], 3.92/4.00
High School Diploma, Final Gpa: 4.08/4.3
Frequently asked questions about Hojune Kim
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What company does Hojune Kim work for?
Hojune Kim works for Swarthmore College.
What is Hojune Kim's role at Swarthmore College?
Hojune Kim is listed as Teaching Assistant at Swarthmore College.
Where is Hojune Kim based?
Hojune Kim is based in Swarthmore, Pennsylvania, United States while working with Swarthmore College.
What companies has Hojune Kim worked for?
Hojune Kim has worked for Swarthmore College, Carnegie Mellon University Robotics Institute, Ofcourse, Berkeley Lab, and Stanford University.
How can I contact Hojune Kim?
You can use AeroLeads to view verified contact signals for Hojune Kim at Swarthmore College, including work email, phone, and LinkedIn data when available.
What schools did Hojune Kim attend?
Hojune Kim holds Bachelor Of Science - Bs, Mathematics And Engineering [Dual Degree], 3.92/4.00 from Swarthmore College.
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