With a PhD in Media Technology, a M.Sc degree in Robotics and Control and a Licentiate degree in Media Signal Processing, Shahrouz first established ManoMotion’s framework in gestural analysis for mobile platforms. As CTO, Shahrouz is the technical lead of ManoMotion.
Daniel has experience from several high-growth internet companies ranging from Banking to Healthcare. He also launched the worlds first mobile banking solution in the year of 2000. Fully understanding the importance of timing in tech, he is thrilled with ManoMotions potential.
Haibo serves as Chief Science Officer at ManoMotion as well as a full Professor at KTH Royal Institute of Technology, Stockholm. He has pioneered research in gesture technology and face recognition. Haibo is a solid force helping guide the technological progress within ManoMotion.
Holding a Ph.D. in Computer Engineering, Thang possesses extensive knowledge in Machine Learning, AI and 3-D technologies. He implements new research and methodologies to broaden ManoMotion’s framework in Gesture Technology, and also leverages on his cross-domain expertise to refine the core technology.
A passionate engineer with an eagerness to work with new technologies, Yeray takes charge of the development of the SDK. A true leader by nature, Yeray takes responsibility in making things happen and revels in the challenge of innovating with minimal resources.
A problem solver oriented to software solutions and with a keen interest in hardware solutions, Julio is an adept learner quick at picking up new technologies and programming languages. With interests covering the scope of gaming, VR and software development, Julio is enthusiastic about finding creative ways to solve challenging problems.
Possessing a strong technical foundation with 7+ years research experience in Computer Vision and Robotics, Bo holds a Ph.D. in Signal Processing and a M.Sc. in Intelligent Systems and Robotics. Leveraging on his strong technical foundations, Bo experiments with existing methodologies to create entirely novel approaches that help solve problems and optimize ManoMotion’s core technology.
With great interest in robotics and control engineering, Saber possesses expertise in automatic control design in industrial and robotic applications. He explores the possible implementations of ManoMotion’s gesture technologies in embedded control systems based on hardware and software solutions.
A problem solver oriented to software solutions and with a keen interest in hardware solutions. Holding an M.Sc. In Signal Processing, Jean-Paul has conducted extensive R&D in applied signal processing for both software and hardware applications. Specialising in Computer Vision, JP conceptualises intelligent approaches founded on Deep Learning to reinforce ManoMotion’s technology.
Objective-led and driven by passion, Naresh approaches any challenge with a mentality to learn, and diversifies himself in order to tackle problems from different angles. He handles ManoMotion’s Marketing initiatives that span from content generation, digital marketing and market research.
A digital storyteller, Abraham envisions interfaces as being canvases to create an experience. Well versed in graphic design and in the ideation and implementation of User Experiences, Abraham contributes to application design, visualisations and UI/UX development of ManoMotion’s technological demonstrations.