Yiming Qian, Phd, Peng Email & Phone Number

Singapore

Singapore, Sg

• Research champion in the fintech field.• Collaborate with clients to define project scopes, establish requirements, and shape delivery plans.• Oversee multiple research initiatives with interdisciplinary teams, including both internal staff and external partners.• Develop and implement high-impact solutions, including business applications, open-source software, patents, and scholarly publications.• Partner with hospital physicians to create retinal imaging–based technologies for cardiovascular disease and diabetes risk estimation.• Work with financial institutions to develop advanced liquidity risk analysis tools and conduct time series analyses on digital assets.• Collaborate with a major international bank to build an AI-powered compliance workflow copilot system.• Lead the design and implementation of an AI governance platform, ensuring responsible and transparent technology deployment.

Suita, Osaka, Jp

Conduct research on Medical imaging Conduct research on imaging analysis of Buddha status

Suita, Osaka, Jp

• Analysis of facial features of Buddha statues across different cultures, regions, and historical periods• Developing an AI-powered system to diagnose cardiovascular disease from retinal images

Toronto, On, Ca

• Road Condition Detection Project: designed and implemented a low cost real time system that using single dash-board camera on the vehicle to detect road weather condition which are dry, wet, snow, snow pack and ice road under different light conditions and different types of road (highway, local road and parking lots). This technology could be used in assisted driving and autonomous driving in hazardous weather conditions. • Depth Reconstruction from A Single Image: designed and implemented a deep learning algorithm that using RGB-D image as a training source to predict the depth information on regular RGB images. It could be used in robotics or manufacturing to improve existing depth sensor accuracy.

• Fast Approach Inc is a Demand Side Platform (DSP) that helps North American schools recruit students from China through online advertising on social media platforms such as Weibo, Wechat,and Zhihu• Responsible of design and development of AI based Demand Side Platform (DSP)• Plan and optimize the business model to maximize profitability• Building relationships with customers and potential investors

• Designed and implemented a custom control software for Techkon spectrometer with an enhanced user interface and improved user productivity by 30% • Implemented a fully automated cloud-based system to handle customer job submissions, it replaced the semi-automated system that was previously used • Designed a deep learning based color ink mixture prediction model for large printing press calibration, it improved the system accuracy by 10%

Leidschendam, South Holland, Nl

• Developed new road survey technology using low cost RGB Camera• Developed a machine learning algorithm to analyze road geometrical information• Developed a real time algorithm to perform road ortho-rectification and pavement image stitching

Berlin, Berlin, De

• Led, designed and implemented a machine learning based capacitive voltages transformer performance prediction algorithm that attained 98% prediction accuracy• Reduced manufacturing costs by 10% by implementing innovative strategies• Performed transformer construction study and electromagnetic analysis• Played a key role in the quality analysis of parts• Performed transformer high voltage testing• Provided customer support for technical issues

Toronto, Ontario, Ca

• Designed and developed an object recognition algorithm using Artificial Intelligence for Augmented World Engines Inc; worked on a team of 6 and achieved a recognition accuracy of 85%• Worked with SMARTia Technologies, trade secret, and ColourManagement.ca to develop a colour mixing prediction algorithm under different printing surface; achieved 95% of prediction accuracy• Reduced 10% in printing wastes in a commercial printing press, by designing and implementing a cloud based solution that predicts ink dry back changes• Worked with clients to define project requirements/specifications

Munich, De

• Led, designed and implemented, on a team of 3, an intelligent Bill of Material system to replace the existed system with new user friendly interface and a new intelligent functionalities capable of automatically generating bill of material and drawings based on customer requirements • Performed key role in switchboard purchase order approval and product selection• Answered customer's inquiries on technical issues in a timely manner• Reviewed and edited LV switchboard, panel board and motor control center drawings in AutoCad• Created final documentation package incorporating manuals/components, as-built, test reports and witness tests• Worked on multiple standardization projects such as Hydro Trough standardization and Siemens PAC Series Meter Wiring Diagram standardization

Doctor Of Philosophy (Ph.D.), Computer Science

Master'S Degree, Electrical Engineering

Bachelor'S Degree, Electrical Engineering