Originally founded in 2015, Signal-Wise began as a research-driven enterprise. In 2024, the company was relaunched with a bold mission: to deliver transformative products that address urgent and costly challenges in advanced manufacturing and medical devices.
Dr. Sean F. Wu received his B.S. in Mechanical Engineering from Zhejiang University (China), and both his M.S. and Ph.D. in Mechanical Engineering from the Georgia Institute of Technology, USA. He began his academic career at Wayne State University (WSU) in 1988 as an Assistant Professor for Research in the Department of Mechanical Engineering. He transitioned to a tenure-track position in 1990, was promoted to Associate Professor in 1995, and to full Professor in 1999. In recognition of his distinguished contributions, Dr. Wu was unanimously named the Charles DeVlieg Professor of Mechanical Engineering (2002–2005) and was appointed University Distinguished Professor by the WSU Board of Governors in 2005—a title he has held continuously since.
Dr. Wu is a Fellow of the Acoustical Society of America (ASA) and the American Society of Mechanical Engineers (ASME). He serves as the Managing Editor and Co-Editor-in-Chief of the Journal of Theoretical and Computational Acoustics Associate, and Editor of the Journal of the Acoustical Society of America.
Dr. Wu has authored more than 70 peer-reviewed journal articles and holds 18 U.S. and international patents. He is the author of the textbook The Helmholtz Equation Least Squares Method for Acoustic Radiation and Reconstruction (Springer, 2015), and the lead author of 4-volume series Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies (World Scientific Publishing, 2025).
Dr. Wu is an accomplished entrepreneur. He co-founded SenSound, LLC in 2003 to commercialize 3D sound field visualization; co-founded Cardiosounds, LLC in 2018 to develop wearable devices for monitoring blood pressure, EKG, etc.; and founded Signal-Wise, LLC in 2015 to pioneer AI-powered Acoustic Fingerprint-based (AIAF) DeepScan—enabling real-time, non-contact, non-invasive acoustic diagnostics and analysis.
Signal-Wise’s team brings together a unique combination of technical depth and entrepreneurial expertise that positions the company for long-term innovation and commercialization success.
Founder & CTO
A world-renowned expert in acoustics, vibration, noise control, and signal processing, Dr. Wu is the driving force behind the company’s technological innovations. His research and inventions form the foundation of the AIAF DeepScan platform and its disruptive capabilities in non-contact, AI-powered acoustic diagnostics.
CEO
With a strong background in scientific entrepreneurship and business strategy, Dr. Zhang is leading Signal-Wise’s commercialization efforts, market expansion, strategic partnerships, and investor engagement.
Chief Scientist
A specialist in AI and signal analysis, Dr. Chen is responsible for the architecture and implementation of AIAF algorithms, software coding, machine learning model development, and experimental validation.
Principal Designer
Mr. Kalvaitis brings hands-on engineering expertise in hardware integration, system testing, and performance validation. He has been instrumental in developing the AIAF DeepScan device’s robustness, accuracy, and industrial durability.
Offer software licensing to end user: The Company will transfer its disruptive technologies and knowhow through contracts and licenses to end users. With these tools, they will be able to tackle a variety of challenging sound and vibration related issues in the most cost-effective manner and conduct QC testing on assembly lines without an enclosure.
Grant software licenses to major partners: The Company will pursue strategic licensing relationships with vendors serving large market segments that would be difficult for the Company to penetrate on its own. These relationships may take the form of exclusive licenses, non-exclusive licenses or OEM relationships, etc.
Provide consulting and suport survices: The Company will provide services to users to understand and maximize the use of the Company’s technologies, educate them through training and workshop, and help them acquire a better understanding of their issues, how to tackle them, and pros and cons of various approaches.