Welcome to HackDKU
Duke Kunshan University's CS and Finance Clubs are thrilled to introduce HackDKU, an event that's not just another hackathon but a transformative experience designed to redefine the hackathon ethos. At HackDKU, we're not just developing technology; we're cultivating innovations that matter, fostering inclusive collaboration, and inspiring lasting change.
The 24-hour event will consist of speaker sessions, workshops, mentorship hours, lunch or coffee breaks, and project presentations. It aims to introduce DKU students and other universities in mainland China to creating innovative projects by peering up and networking with industry leaders. The focus of the inaugural HackDKU event is Artificial Intelligence (AI) and Web3.
Support the Project!Hackathon themes
Education
The Education track pairs hackers with educators, reaching out to all levels of subjects and skills. In addition to HackDKU sponsored Education events, projects aim to increase visibility of technology and to introduce basic skills to the public.
Health
The Health track allows hackers to work with various kinds of health related data, as well as connect with mentors from the intersection of health and technology. More than ever, technology today is in a prime position to improve the quality, efficiency, and accessibility of health care.
Energy and Environment
The Energy and Environment track encompasses a technical perspective to deal with large issues impacting energy use, allocation and environmental regulations. This track has many applications, including machine learning for resource extraction, the use of green energy and enforcing environmental policy.
Finance
The Finance track challenges participants to innovate in blockchain, digital currencies, and decentralized markets. Harness the power of Web3 to build financial solutions that are secure, transparent, and accessible, transforming how we think about money and transactions in the digital age.
Prizes
10,000 RMB in prizes package
Speakers
Bing Luo
Assistant Professor of Data and Computational Science at DKU
Research interests are on the theory and practice of federated/distributed machine learning and data analytics, wireless communications and networking, game theory, and optimization, with applications in edge-based artificial intelligence (Edge AI), privacy computing, and 5G/6G wireless systems.
Luyao Zhang
Assistant Professor of Economics at DKU
A pioneering researcher at the intersection of computational and economic science on groundbreaking technologies, leading emerging technology initiatives globally, and recognized among the 60 blockchain innovators.
Rocco Li
Director at KPMG China
Rocco Li has experience in campus recruitment with firms such as Goldman Sachs, Bloomberg, PwC, and KPMG. He has also explored optimizing human capital management and recently shifted his focus to the impact of AI in this field.
Lei Xia
Ph.D. Candidate at Tongji University Design and AI Lab
Lei Xia is a Ph.D. Candidate at Tongji University Design and AI Lab working on AI embodiment in Virtual Design Spaces
Juan Camilo Sanabria
AI/ML engineering Specialist at L'Oreal
Juan Sanabria is dedicated to creating inclusive environments that leverage diverse experiences and skills for tackling challenges. He has a keen interest in Data, Machine Learning, and General AI
Wenda Zhang (Darwin)
Research and Development Engineer at Conflux
Graduated from the Institute of Software, Chinese Academy of Sciences, Darwin is currently working as an R&D engineer for Tree-Graph Blockchain Research Institute.
Tong Zhang
Assistant Professor of English Language at Language and Culture Center at DKU
Her research interests include metacognition of writing, assessment of language and writing instruction in higher education, and teachers identity and agency in conducting interdisciplinary research.
Jia Zhai
Senior Associate Professor in Finance at the International Business School Suzhou at XJTLU
Her primary areas of research revolve around financial technology and applied financial econometrics, including but not limited to machine learning in finance, option pricing, sentiment analysis, and volatility forecasting.
Jinhua Li
Associate Professor of Chinese Studies and Language, Associate Director of the Language and Culture Center at Duke/DKU
Research interests are in contemporary Chinese cinema and its transnational articulations of identity, gender, and cultural politics, and she has led study abroad programs to China, Japan, and South Korea.
Penelope Scott
Associate Professor and Head of the Department of Applied Linguistics at XJTLU
Her research interests include health and illness in Early Medieval English, conceptual metaphor, and the link between cognition and culture. Her work has investigated Olfaction in Old English, Gender and Illness in Early Medieval Hagiographies, and the Conceptualization of Sacrality.
Judges
Dr. Matthias Schröter
Researcher at Max Planck Institute
Physicist by training, doing research on pattern formation, granular matter, image processing, machine learning
Dr. Liqi Ren
Senior Lecturer in Innovation and Design and Associate Director for Innovation and Entrepreneurship, DKU
She leads the DKU Innovation Lab and Incubator and is responsible for developing the innovative and entrepreneurial culture across campus by initiating and strengthening various programs, topics and resources.
Gao Xiaoxing
Microsoft R & D engineer
Mainly engaged in artificial intelligence applications, data processing, background development work.
Tom Young
North Asia Head of Data, Analytic and AI at Unilever
I am an Innovator with integrated expertise in business, product, technology and management. Driven by intense enthusiasm to missions that positively impact people’s life and work, I have created and commercialized category defining new products powered by AI, Big data and Cloud for different industries, which powered multiple hundred million revenue business, and served more than ten million users. I am also providing data science solution/consulting to improve the efficiency, agility and competitiveness of retail, marketing, healthcare and finance clients.