Skip to content

Commit 9327e7a

Browse files
Move About content to homepage and remove separate About page
1 parent 9035657 commit 9327e7a

File tree

3 files changed

+44
-68
lines changed

3 files changed

+44
-68
lines changed

_includes/sidebar.html

Lines changed: 2 additions & 15 deletions
Original file line numberDiff line numberDiff line change
@@ -11,21 +11,8 @@ <h1>
1111

1212
<nav class="sidebar-nav">
1313
<a class="sidebar-nav-item{% if page.url == '/' or page.url == '/index.html' %} active{% endif %}" href="{{ site.baseurl }}/">Home</a>
14-
15-
{% comment %}
16-
The code below dynamically generates a sidebar nav of pages with
17-
`layout: page` in the front-matter. See readme for usage.
18-
{% endcomment %}
19-
20-
{% assign pages_list = site.pages | sort: 'title' %}
21-
{% for node in pages_list %}
22-
{% if node.title != null %}
23-
{% if node.layout == "page" %}
24-
<a class="sidebar-nav-item{% if page.url == node.url %} active{% endif %}" href="{{ site.baseurl }}{{ node.url }}">{{ node.title }}</a>
25-
{% endif %}
26-
{% endif %}
27-
{% endfor %}
28-
14+
<a class="sidebar-nav-item{% if page.url contains '/research' %} active{% endif %}" href="{{ site.baseurl }}/research/">Research</a>
15+
<a class="sidebar-nav-item{% if page.url contains '/publications' %} active{% endif %}" href="{{ site.baseurl }}/publications/">Publications</a>
2916
<a class="sidebar-nav-item" href="https://github.com/ndolphin-github">GitHub Profile</a>
3017
</nav>
3118

about.md

Lines changed: 0 additions & 39 deletions
This file was deleted.

index.html

Lines changed: 42 additions & 14 deletions
Original file line numberDiff line numberDiff line change
@@ -4,27 +4,55 @@
44
---
55

66
<div class="page">
7-
<h1>Welcome to My Research Portfolio</h1>
8-
9-
<p>I am Taehwa Hong, a Ph.D. candidate at Seoul National University specializing in <strong>physics-based simulation</strong> and <strong>data generation for robotic learning</strong>.</p>
10-
11-
<h2>Research Focus</h2>
12-
<p>My research addresses the <strong>fidelity-tractability trade-off</strong> in simulating complex physical interactions, particularly involving deformable structures and contact dynamics. I develop abstraction methodologies to create foundational simulation tools for training physically intelligent robots.</p>
13-
14-
<h2>Quick Links</h2>
15-
<ul class="quick-links">
16-
<li><a href="{{ site.baseurl }}/about/">Learn more about my background →</a></li>
17-
<li><a href="{{ site.baseurl }}/research/">Explore my research projects →</a></li>
18-
<li><a href="{{ site.baseurl }}/publications/">View my publications →</a></li>
19-
<li><a href="https://github.com/ndolphin-github">Visit my GitHub profile →</a></li>
7+
<h1>Taehwa Hong</h1>
8+
<p class="lead">Ph.D. Candidate in Mechanical Engineering | Robotics Simulation Researcher</p>
9+
10+
<h2>About Me</h2>
11+
<p>I am a Ph.D. candidate at Seoul National University (expected February 2026) specializing in <strong>physics-based simulation</strong> and <strong>data generation for robotic learning</strong>. My research addresses the <strong>fidelity-tractability trade-off</strong> in simulating complex physical interactions, particularly involving <strong>deformable structures</strong> and <strong>contact dynamics</strong>.</p>
12+
13+
<p>To bridge this gap, I develop and validate <strong>abstraction methodologies</strong>, progressing from analytical models for real-time control, to data-driven surrogate models enabling reinforcement learning, and towards Neural Physics Engines (NPEs) for high-fidelity contact modeling. My goal is to create the foundational simulation tools and pipelines needed to generate high-quality, physically-grounded data for training the next generation of physically intelligent robots.</p>
14+
15+
<h2>Research Interests</h2>
16+
<ul>
17+
<li>Physics-Based Simulation (FEM, Rigid-Body)</li>
18+
<li>Data Generation for Robot Learning (Sim-to-Real, Synthetic Data)</li>
19+
<li>Contact Dynamics & Deformable Object Modeling</li>
20+
<li>Neural Physics Engines (NPEs) & Learned Simulators</li>
21+
<li>Reinforcement Learning for Control</li>
22+
</ul>
23+
24+
<h2>Education</h2>
25+
<ul>
26+
<li><strong>Integrated M.S./Ph.D. in Mechanical Engineering</strong> (Expected Feb 2026)<br>Seoul National University</li>
27+
<li><strong>B.S. in Mechanical and Aerospace Engineering</strong> (Feb 2019)<br>Seoul National University</li>
2028
</ul>
2129

30+
<h2>Technical Skills</h2>
31+
<ul>
32+
<li><strong>Simulation & Modeling</strong>: SOFA (FEM), PyBullet, Isaac Sim, MuJoCo, ABAQUS; Contact Mechanics, Deformable Body Dynamics, Model Order Reduction (MOR)</li>
33+
<li><strong>Machine Learning</strong>: Python (PyTorch, TensorFlow, NumPy, SciPy), C++, MATLAB; Reinforcement Learning (RL - PPO, SAC), PINNs, Transformers, GNNs</li>
34+
<li><strong>Robotics & Control</strong>: ROS2, Control Systems Design, Sim-to-Real Transfer, Sensor Calibration & Integration (Tactile, Force, Proprioceptive)</li>
35+
<li><strong>Hardware & Design</strong>: SolidWorks, Blender, Onshape, AutoCAD; Mechanical Design, Prototyping (Soft Robots, Actuators)</li>
36+
</ul>
37+
38+
<h2>Contact</h2>
39+
<ul>
40+
<li><strong>Email</strong>: <a href="mailto:[email protected]">[email protected]</a></li>
41+
<li><strong>GitHub</strong>: <a href="https://github.com/ndolphin-github">github.com/ndolphin-github</a></li>
42+
<li><strong>LinkedIn</strong>: <a href="https://www.linkedin.com/in/tae-hwa-hong-021b8725b">linkedin.com/in/tae-hwa-hong-021b8725b</a></li>
43+
<li><strong>Google Scholar</strong>: <a href="https://scholar.google.co.kr/citations?user=kzrORlsAAAAJ&hl=ko">View my publications</a></li>
44+
</ul>
45+
46+
<hr>
47+
2248
<h2>Latest Updates</h2>
2349
{% for post in site.posts limit:3 %}
2450
<div class="post-preview">
2551
<h3><a href="{{ site.baseurl }}{{ post.url }}">{{ post.title }}</a></h3>
2652
<span class="post-date">{{ post.date | date_to_string }}</span>
27-
<p>{{ post.excerpt }}</p>
53+
{% if post.excerpt %}
54+
<p>{{ post.excerpt | strip_html | truncatewords: 30 }}</p>
55+
{% endif %}
2856
</div>
2957
{% endfor %}
3058
</div>

0 commit comments

Comments
 (0)