About Me
Qi Lu
Research Assistant Professor
The Future Laboratory, Tsinghua University
Email: luq@mail.tsinghua.edu.cn
Phone: +86 186-1203-9524
I am currently an assistant professor at The Future Laboratory of Tsinghua University, and leading the COS (Coding Olfactory Space) Lab research group.
My work focuses on olfactory computing, multisensory HCI, and intelligent olfaction technologies powered by electronic noses (e-noses) and olfactory displays. I am particularly interested in how smell can become a computable modality—something intelligent systems can sense, reason about, generate, and use in interaction.
Research Fields
- Multisensory Human-Computer Interaction (HCI)
- Olfactory Computing
- Artificial Olfaction (Electronic Nose)
- Multimodal Embodied Interaction
- Tangible User Interface
Education & Experience
Research Assistant Professor
The Future Laboratory, Tsinghua University, 2023 - Present
Postdoctoral Researcher
The Future Laboratory, Tsinghua University, 2021 - 2023
Ph.D. in Design
Tsinghua University, 2017 - 2020
M.S. in Information Art and Design (Interdisciplinary)
Tsinghua University, 2014 - 2017
B.S. in Electronic Engineering
Tsinghua University, 2010 - 2014
Academic Affiliations
- Senior Member, China Computer Federation (CCF)
- Executive Member, CCF Technical Committee on Human-Computer Interaction
- Founding Member, Chinese Association for Chemosensation (CAChe)
Selected Honors & Awards
- Best Paper Award, UIST 2025
- Best Paper Honorable Mention, DIS 2020
- First Speakers Lineup, 8th World Digital Olfaction Society Conference (DOS), 2024
- Outstanding PhD Graduate of Beijing, 2020
- First-class Scholarship, Tsinghua University, 2019
Research
Vision
At COS Lab, we explore a fundamental question:
What new forms of interaction and intelligence emerge when future robots, virtual environments, and computing systems can truly "smell" and "express" odors?
My long-term vision is to establish olfaction as a core capability in embodied and multisensory intelligent systems, enabling richer, more immersive, and more human-centered computational experiences.
News
Publications
Team
Join Us
Exploring the Future of Olfactory Intelligence & Multimodal Interaction
Positions Available: Research Assistants / Interns / Postdoctoral Fellows — We welcome applicants from Computer Science, Electronics, Automation, Mechanical Engineering, Materials Science, Chemistry, Artificial Intelligence, Human-Computer Interaction, and related fields.
We Are Looking for Skills In
You don't need all of these – we welcome anyone with relevant expertise and passion!
Programming & Algorithms
Python, C++, MATLAB, Machine Learning, Deep Learning, Model Optimization
Hardware & Systems
Sensor Integration, Circuit Design, Embedded Systems, Mechanical Design & Prototyping
Signals & Data
Signal Processing, Pattern Recognition, Data Analysis & Visualization
Interaction & Design
HCI, UX Design, Multimodal Interaction Systems
Chemistry & Materials
Gas Sensing Principles, Material Fabrication & Characterization, VOC Detection
Research & Innovation
Literature Review, Experiment Design, Academic Writing, Conference Participation
Research Topics
Embodied Olfactory Interaction: Endowing robots with the "sense of smell" for environmental perception, understanding, and collaboration
Multimodal Sensing Device Development: Integrating olfactory, visual, and tactile sensing into innovative hardware
Olfactory Recognition Algorithms: Applying AI to decode complex odors, bridging data and cognition
What You Will Gain
Cutting-edge Research Projects
Collaborate on frontier interdisciplinary topics
Hands-on Innovation
Engage in all stages from prototyping to system integration
Publications & Achievements
Opportunities to publish in top conferences and journals
Academic Resources
Access to advanced facilities and international collaboration opportunities
How to Apply
Send your CV to luq@mail.tsinghua.edu.cn
Subject line: "Application – RA/Intern/Postdoc – Your Name"
Contact Us
Lab Address
COS Lab: Coding Olfactory Space
Building A, Shuangqing Multi-purpose Building
Tsinghua University
No.1 Qinghuayuan, Haidian District, Beijing, China
Postcode: 100084
Contact Information
Email: luq@mail.tsinghua.edu.cn
We welcome academic exchanges, project collaborations, and any inquiries about the lab. We typically respond to emails within 1-2 business days.