Eric Durant, Phd, Mba, Pe Email and Phone Number
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Director of the master of science in machine learning program. Researcher in AI and deep learning, audio processing, hearing aids, digital signal processing (DSP), and optimization. Dedicated to being an outstanding educator and mentor and staying technically current through research and work in industry.
Starkey Hearing Technologies
View- Website:
- starkey.com
- Employees:
- 27
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Principal Signal Processing EngineerStarkey Hearing TechnologiesMilwaukee, Wi, Us -
Program Director, Machine Learning; Professor, Csse DepartmentMilwaukee School Of Engineering Mar 2002 - PresentMilwaukee, Wi, UsAs Machine Learning (MS) Program Director (since 6/2022):* Work with faculty and consultants on marketing and recruiting.* Develop "early entry" program for undergraduates to take graduate courses in their senior year and complete the master's degree in just one extra year.* Develop student advising and course planning processes as the program experienced rapid growth to 70 students in its first year.* Teach electives in deep learning in signal processing and in theory of machine learning.As Computer Engineering Program Director (9/2006–5/2022):* Work with faculty and students to enhance the curriculum and the student experience.* Launched semester exchange program.* Developed many collaborations with industry.* Authored 2012 and 2018 ABET self-studies.* Work with Enrollment to recruit incoming class.As Professor (promoted 7/2014 and 7/2008):* Advise CE undergraduates and ML graduate students.* Coordinate annual Op computer programming competition for high school students (2002–2017).* Served multiple terms as Faculty Senate Secretary. -
Principal Signal Processing EngineerStarkey Hearing Technologies Jan 2000 - PresentEden Prairie, Mn, Us* Received 8 US patents through 2024 in various hearing aid digital signal processing algorithm areas* Developed DNN-based real-time multi-channel speech enhancement based on speech plus noise covariance model and implemented perceptual metrics with backpropagation support using PyTorch in 2021–'22.* Developed real-time speech enhancement using deep neural networks (DNNs) to combat high noise environments in 2018-'19. Applied a wide variety of TensorFlow, Keras, Python, and MATLAB capabilities.* Developed hearing aid spatialization and localization approaches (US patent 9124983 granted 2015-09)* Developed DSP beamforming algorithms using convex optimization to focus hearing aids on sounds of interest (US patents 8824711 granted 2014-09, 9584933 granted 2017-02-28, and 9930456 granted 2018-03-27)* Developed robust perceptual rank inferencing algorithm (US patent 8359283 granted 2013-01)* Designed and implemented experiments and infrastructure for genetic algorithm based parametric fitting of hearing aids using both custom hearing aid hardware and Pocket PC (eVc/MFC and .NET 2.0 Compact Framework)* Developed and refined perceptual genetic algorithm (US patent 7650004 granted 2010-01; US patent 9049529 granted 2015-06)* Developed legacy applications in C#, C++, C, and Motorola 56k assembly -
Visiting ProfessorNvidia Oct 2018 - PresentSanta Clara, Ca, UsSix-month sabbaticals in 2018–19 and 2024–25. First focused on multistream audio analytics using deep, convolutional neural networks (DNN/CNN). Second focused on ML-based noise reduction and its interaction with automatic speech recognition (ASR). Technologies used include TensorFlow, TensorRT, and PyTorch. Work includes physics-based augmentation and both theory and implementation of algorithm to compensate for real-world stream desynchronization. In 2019, worked with NVIDIA DLI (Deep Learning Institute), reviewing content and lab materials for 4 courses, and assisted with delivering 14 hours of customer instruction at GTC (GPU Technology Conference). -
ConsultantAdapted Wave Technologies Jun 2000 - Jul 2000Implemented fast trigonometric transform algorithms in C, multi-platform profiling and testing
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Advanced Research Team MemberJohnson Controls, Inc. 1996 - 1998Cork, Ireland, IeResearched and developed smart building technologies. Responsibilities included: interfacing emulation software to DAQ/RIO, evaluating and interfacing softPLCs, presentations to management, ActiveX integration, TCP-level service programming, Web development including project tracking, GIS, and database integration
Eric Durant, Phd, Mba, Pe Skills
Eric Durant, Phd, Mba, Pe Education Details
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University Of MichiganElectrical Engineering -
University Of MichiganElectrical Engineering -
Lubar College Of BusinessBusiness -
Milwaukee School Of EngineeringElectrical Engineering -
Milwaukee School Of EngineeringComputer Engineering -
Greenfield High School
Frequently Asked Questions about Eric Durant, Phd, Mba, Pe
What company does Eric Durant, Phd, Mba, Pe work for?
Eric Durant, Phd, Mba, Pe works for Starkey Hearing Technologies
What is Eric Durant, Phd, Mba, Pe's role at the current company?
Eric Durant, Phd, Mba, Pe's current role is Principal Signal Processing Engineer.
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What schools did Eric Durant, Phd, Mba, Pe attend?
Eric Durant, Phd, Mba, Pe attended University Of Michigan, University Of Michigan, Lubar College Of Business, Milwaukee School Of Engineering, Milwaukee School Of Engineering, Greenfield High School.
What skills is Eric Durant, Phd, Mba, Pe known for?
Eric Durant, Phd, Mba, Pe has skills like Signal Processing, Digital Signal Processors, C++, Embedded Systems, Algorithms, Programming, C, Digital Signal Processing, Testing, C#, Software Engineering, Labview.
Who are Eric Durant, Phd, Mba, Pe's colleagues?
Eric Durant, Phd, Mba, Pe's colleagues are Ann Laxen, Akash Vyas, Lesley Farah, Monty Burke, Dario De Felice, Aurelio Flores, Eugene Arrington.
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