SCHOOL OF FUTURE DESIGN, BEIJING NORMAL UNIVERSITY
Zhou Tiange

Zhou Tiange

Research Associate Professor

Director, Art and Technology at School of Future Design.
Research Interests: Music Technology, Computational Aesthetics, Intelligent Art (AI Art), Ethics of Technology, and Art Therapy.


Professional Appointments & Experience:

· Director, Art and Technology at School of Future Design

· Research Associate Professor, Beijing Normal University

· Former Lecturer / Associate Instructor, University of California, San Diego (UCSD)

· Collaborating Artist, Harvard University CamLab (Chinese Art Media Lab)

· Music Content Consultant, NetEase Inc.


Education:

· Ph.D., University of California, San Diego (UCSD)

· M.M. (Master of Music), Yale University

· B.M. (Bachelor of Music), Manhattan School of Music

· Note: Musical scores are published by BabelScores, the renowned French contemporary music publisher.


Academic Affiliations & Service:

· Committee Member, Digital Creativity Committee, China Association for Fundamental Education in Decorative and Higher Education (CAFDE)

· Standing Committee Member, First Professional Committee of Art Therapy, Guangdong Association for Mental Health

· Alumni Interviewer, Yale University


Selected Research Projects:

· Core Member, Training Program for Management Personnel of Grassroots Art Museums and Institutions in the Guangdong-Hong Kong-Macao Greater Bay Area, National Arts Fund (China)

· Core Member, Oral History of Children’s Vinyl Records in 1950s Shanghai: A Case Study of 8,000 Private Collections, Shanghai Art and Science Planning Project

· Co-Investigator (Sub-project), Frontier Issues in Contemporary European and American Dramatic Theory, Major Project of the National Social Science Fund of China (Art Science)

· Research Member, Timbre Semantics Project, Social Sciences and Humanities Research Council (SSHRC) of Canada (hosted by McGill University)

· Research & Creative Member, Cava Dance, Shadow Cave, and Digital Gandhara Projects, Harvard University CamLab


Industry Collaboration:

· Project Lead/Consultant, Smart Cockpit Sound Design Project, Dongfeng Motor Corporation


Selected Academic and Creative Collaborative Partners:

Tsinghua Laboratory of Brain and Intelligence (THBI)

School of Artificial Intelligence, University of Science and Technology Beijing (USTB)

School of Arts, Renmin University of China (RUC)

Institute for Global Humanities, Nanjing University

Zhejiang Conservatory of Music (ZJCM)

Xinghai Conservatory of Music

70.8 Ocean Media Lab, Xiamen University

Zhuhai Embodied Intelligence Application Innovation Center

Kiang Wu Hospital (Macau)

Shanghai Concert Hall 

Chengdu Art Museum 


Honors, Awards, and Major Exhibitions:

· 2025 FORBES CHINA 100 RETURNEE ELITES SELECTION

· Young Talents Program, Beijing Normal University (Zhuhai)


Selected Creative Awards:

· Arte Laguna Prize (Venice): Xingqi · Conscious (Dance Film) – Composer (Director: Yu Borou, Visiting Lecturer at MIT Media Lab) (Italy)

· Global First Prize: hEArT – Kirkos International Chamber Music Composition Competition (Ireland)

· Third Prize: A Mirror for a Dream – Sorodha International Violin Solo Composition Competition (Belgium)

· Gold Prize: The World of Freedom – Hermès International Creative Design Award (Sound Design)

· Best Short Film Score: Immortal – American Filmatic Arts Award  (Best Sound Design for Shorts)

· Best Sound Design (Finalist): Primordial Unity – Athens International Art Film Festival (Director; Collaborators: Luo Yingqi, Marco Bidin)

Major Exhibitions & Performances:

· Cosmos Archaeology Exibition: Cambrian (Sound Design) – National Museum of China (Director: Cao Shu)

· 1st National Digital Art Exhibition: All That I Yearn For is the Galaxy (Installation) – Lead Artist 

· Chengdu Biennale: One Life in A Cup(Installation) – Lead Artist

· The Dawn of a Century: Russian Avant-Garde Exhibition: Fluid Soundscape: Touching Kandinsky (Installation) – Organized by Chengdu Museum of Art and the State Russian Museum  

· Digital Muse International Music & Tech Festival (Shanghai Concert Hall):

· From Dunhuang Code to Porcelain Rhyme: Technology-Enabled Art Archaeology and Soundscape Co-creation (Performance)

· Reconstructing John Cage’s ASLSP: Embedding the World’s “Slowest” Piece via Mobile Interactive Video (Performance; Collaborators: Marco Bidin, Dai Yuanzhao)


Publications (As First Author/Corresponding Author) :

Zhou, Tiange, Borou Yu, Jiajian Min, and Zeyu Wang. "DAMUS: A Collaborative System for Choreography and Music Composition." In 2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pp. 1-6. IEEE, 2022.

(This study developed a collaborative system named DAMUS, designed to break the barriers between dance and music creation through technological means, achieving real-time synchronization and co-creation between choreography and composition.)

Fu, Jiaying, Tianyue Gong, Jialin Gu, and Tiange Zhou. "AI Life” and Human Fear: from Phenomenological Insights to Digital Creation." In 2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pp. 1-6. IEEE, 2024.

(Utilizing a phenomenological, perspective this research analyzes the psychological fear and its ontological roots when humans encounter "AI life." Based on this theoretical framework, it constructs an emotional transformation path and methodology from psychological perception to Digital Creation .

Zhou, Tiange, and Marco Bidin. "Bridging Cultural and Digital Divides: A Low-Latency JackTrip Framework for Equitable Music Education in the Global South." In 2025 7th International Conference on Computer Science and Technologies in Education (CSTE), pp. 510-514. IEEE, 2025.

(Addressing the unequal distribution of music resources in the Global South, this research proposes a low-latency remote music education framework based on JackTrip technology. It aims to bridge cultural and digital divides by optimizing digital audio transmission, thereby achieving cross-regional, inclusive, and accessible collaborative music education.)

Zhou, Tiange. "Algorithmic Composition Techniques for Ancient Chinese Music Restoration and Reproduction: A Melody Generator Approach." In Artificial Intelligence for Art Creation and Understanding, pp. 231-252. CRC Press, 2024

(Targeting the digital preservation needs of ancient Chinese music, this research introduces the world's first traditional Baban melody generation framework based on algorithmic composition. By computationally modeling traditional musical rules, it achieves the automated restoration and stylized reproduction of ancient music fragments.)

Zhou, Tiange, and Marco Bidin. "Empowering Non-Technical Humanities Scholars with AI-Driven Tools: An Accessible Framework for Poetry Analysis." In 2025 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pp. 1-6. IEEE, 2025.

(This study constructs an accessible AI analysis framework for humanities researchers with non-technical backgrounds. By integrating BERT sentiment recognition models with GPT-driven visualization techniques, it enables the analysis of deep psychological dimensions and emotional structures within poetic texts.)

Liang, Zhaoying, Fangye Zhang, and Tiange Zhou. "Generative AI in LEGO Education: Opportunities & Ethical Challenges in Digital Learning Development." In 2025 5th International Conference on Artificial Intelligence and Education (ICAIE), pp. 779-784. IEEE, 2025.

(This research systematically explores the innovative potential of integrating Generative AI (GenAI) into the LEGO education ecosystem. While evaluating opportunities to empower digital learning and stimulate creativity, it deeply analyzes ethical challenges—such as algorithmic bias, data privacy, and educational agency—associated with technological intervention in adolescent cognitive development)

Bidin, Marco, Jiaqi Du, and Tiange Zhou. "Beyond Word-for-Word: A BERT-Based Learning Framework for Emotion Interpretation in English Poetry for ESL Students in Chinese Universities." In 2025 International Conference on Education Technology and Computers (ICETC), pp. 611-615. IEEE, 2025.

(Addressing the tendency of ESL learners in Chinese universities to rely heavily on "word-for-word translation" while neglecting emotional depth in English poetry, this research proposes an emotional interpretation teaching framework. It leverages deep learning technology to help students overcome language barriers and achieve precise capture and understanding of deep emotional structures in poetry.)

Zhou, Tiange, and Marco Bidin. "The Measure of Resonance: A Computational Cross-Cultural Analysis of Floral Poetics in Tang and Renaissance Verse." Transactions on Artificial Intelligence 1, no. 1 (2025): 326-339.

(Utilizing computational modeling and natural language processing, this study conducts a cross-cultural quantitative analysis of "Floral Poetics" in Chinese Tang poetry and Western Renaissance verse. It aims to scientifically measure the aesthetic resonance and structural differences across civilizations in the expression of natural imagery.)