Eric Durant, Phd, Mba, Pe Email & Phone Number

Milwaukee, Wi, Us

Milwaukee, Wi, Us

As 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.

Eden 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

Santa Clara, Ca, Us

Six-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).

Implemented fast trigonometric transform algorithms in C, multi-platform profiling and testing

Cork, Ireland, Ie

Researched 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

Phd, Electrical Engineering

Mse, Electrical Engineering

Executive Mba, Business

Bs, Electrical Engineering

Bs, Computer Engineering

Education record