Teaching & Mentoring Experiences

I have been working as a teaching assistant for five different courses. If you have any specific questions about course topics, feel free to contact me.

BIM for Engineering, Construction, and Facility Management (Graduate) 

Semester: Spring

Offered: 2021, 2022, 2023

• Advisor: Dr. Pingbo Tang

• Helped with a capacity of 19 (Spring 2021), 52 (Spring 2022) and 55 (Spring 2023) student class.

• Designed a new course project combining ASCE Future World Vision: Mega City 2070.

• Held weekly office hours and recap sessions in class.

• Introducing Revit and Dynamo for tower crane simulation with construction sites planning.

• Introduced Navisworks for BIM model clash detection. 

• Explained Point Cloud and Cloud Compare for facility management and construction process monitoring.

Project Management for Engineering and Construction (Undergraduate and Graduate) 

Semester: Fall

Offered: 2021, 2022

• Advisor: Dr. Pingbo Tang

• Helped a course with a capacity of 54 (Fall 2022) and 52 (Fall 2021) student class.

• Held weekly office hours and recap sessions in class.

• Introduced project planning and scheduling, cost estimation and financing of constructed facilities, labor productivity, equipment utilization, and digital design and modeling tools.

Data Acquisition (Graduate)

Semester: Spring

Offered: 2020

• Advisor: Dr. Mario Bergés

• Helped a course with a capacity of 40 students class.

• Held weekly office hours and recap sessions in class.

• Demonstrated the Raspberry Pi with different sensor kits for smart infrastructure management.

• Explained sensing technologies, data acquisition using sensors, and signal processing.

12401 CEE Design: Imagine, Build, Test (Undergraduate)

Semester: Fall

Offered: 2023

• Helped undergraduate students learn how to reconstruct terrain using 3D scanning through Civil 3D and Autodesk Recap

Machine Learning and Emerging Technologies for Forensic Engineering

In the FORENSIC ENGINEERING CONGRESS [website] 

Offered: 2023, 2024

• Introduced virtual reality and augmented reality for forensic engineering. 

• Demonstrated bridge inspection with drones through virtual reality.

An Introduction to Building Information Modeling (Undergraduate)

Semester: Fall

Offered: 2019

• Advisor: Dr. Ting-Kwei Wang

• Held weekly office hours and graded problem sets and tests.

• Introduced Building Information Modeling and related applications using Revit, Navisworks, and Ecotect Analysis

Student Name: Sophie Kochanek (Female Undergraduate student)

Time: Summer 2021

• Supervised the exploration of the integration of computer vision and real-time sensors monitoring water systems to reduce errors operating on the wrong valves in a power plant to minimize the possibility of mixing them up.

Student Name: Bowen Sun (Graduate student)

Time: Summer 2022

• Oversaw building a bridge inspection game with a drone to collect the human-machine interaction data for more reliable bridge inspection.

Student Name: Yuxuan Tian and Yuanhao Li (Graduate student)

Time: Summer 2022

• Supervised the building a water digital twin by integrating MATLAB Simulink and Unity to simulate the anomaly situations for humans in the loop inspection and recovery of water treatment plants.

Student Name: Sri Ramana Vasanthawada (Graduate student)

Time: Summer 2023

• Oversaw development of a fire pattern segmentation and recognition system by Segment Anything Model for fire Investigation with human-in-the-loop.

Student Name: Yide Liu (Graduate student)

Time: Summer 2021

• Supervised exploration of the large language models’ capabilities for understanding structural engineering 

• Fine-tuned the large language models for understanding the bridge inspectors’ behaviors and making recommendations for bridge inspectors.

Student Name: Sophie Kochanek (Female Undergraduate student)

Time: Summer 2021

• Supervised the exploration of the integration of computer vision and real-time sensors monitoring water systems to reduce errors operating on the wrong valves in a power plant to minimize the possibility of mixing them up.

Student Name: Weston Fortna, Yu Sugimoto and Tannaz Afshar Bakeshloo (Graduate student)

Time: 2023

• Worked on the project “Digitalization of Old Building in Pittsburgh.”                                                         

• Investigated the eco-socio-technical impacts of construction waste in low-income areas of Pittsburgh.

• Initiated production cooperation with a regional industrial development corporation to digitize old buildings and estimate the potential for construction waste recycling.

• Used laser scanners to scan several vacant houses and factories, quantifying reusable building materials of existing buildings, which supported cyclic economy research on building waste recycling.

Student Name: Spencer Hanna, Sakar Adhikari, Ishwrya Achuthan Geetha, and Sri Ramana Vasanthawada (Graduate student)

Time: 2023

• Supervised them to use the laser scanner to scan the Morewood Gardens for their final projects on quantifying reusable materials by demolishing the building.