Alex Holland, PhD

Broadly experienced advanced instrument product development - signal processing, algorithms, & software, strategic management, best papers and product awards

Research Expertise

machine learning
signal processing
biotechnology
medical devices
Biomedical Engineering
Computer Science Applications

About

Dr. Alex Holland is an expert in applying machine learning, signal processing, and mathematics to provide product differentiation for advanced instruments and sensors, such medical monitors or biotechnology nano sensors. Throughout his academic and professional career, Dr. Holland has gained extensive experience in advanced instrument development. He has worked on a variety of projects, from developing algorithms for data analysis to designing and implementing mathematical models for signal processing and control, to the full practical embedded systems software implementations. He has also published numerous papers in peer-reviewed journals, showcasing his expertise and contributions to the field. He holds a PhD in Applied Mathematics from a prestigious university and has a strong background in practical applications of mathematical concepts. Prior to obtaining his doctorate, Dr. Holland received his Master's degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, where he also completed his Bachelor's degree in Electrical Engineering. Dr. Holland is an avid researcher and enjoys exploring new and challenging engineering and mathematical problems. He is also dedicated to sharing his knowledge and experience with others, mentoring students and giving lectures at various academic institutions. Dr. Holland has primarily worked in industry, supplying competitive advantage to many market leading products consisting of sensors, instruments, and medical devices. He has collaborated with companies in various sectors, such as technology, healthcare, and defense, providing valuable insights and solutions. With his strong background in both theoretical and applied mathematics, as well as his extensive experience, Dr. Holland is a valuable asset in any project or research endeavor. He continues to push the boundaries of engineering and is committed to making a positive impact in the field of applied mathematics.

Legacy Map

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Publications

Fusion research to face 'make or break' demands from US Congress
Nature
1994
Removing 0.5 Hz Baseline Wander From ECG Signal Using Multistage Adaptive Filter
Engineering and Technology Journal
2011
Design and performance Evaluation of a Fault-Tolerant, Hard-Real-Time, Parallel Processor
Responsive Computer Systems: Steps Toward Fault-Tolerant Real-Time Systems
1995
Miniature IMU/INS with optimally fused low drift MEMS gyro and accelerometers for applications in GPS-denied environments
Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium
2012
Calculation of the Kalman Gain (the Carew and Belanger Method)
Modeling, Estimation and Optimal Filtering in Signal Processing
2008
Analog-to-Digital Converter
Unknown Venue
1987
Accurate real time inertial navigation device by application and processing of arrays of MEMS inertial sensors
IEEE/ION Position, Location and Navigation Symposium
2010
X-Band Hybrid-Integrated VCOs with High Tuning Linearity
14th European Microwave Conference, 1984
1984
A novel recursive Fourier transform for nonuniform sampled signals: application to heart rate variability spectrum estimation
Medical & Biological Engineering & Computing
2009
species [n] [US], nonnative
Encyclopedic Dictionary of Landscape and Urban Planning
2010
Precision navigation for UAVs, mini-munitions, and handhelds through application of low cost accurate MEMS IMU/INS technology
2008 IEEE/ION Position, Location and Navigation Symposium
2008
A Simple Unsupervised, Real-time Clustering Method for Arterial Blood Pressure Signal Classification
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
2019
A novel statistical model for arterial blood pressure signals
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
2015
Comparing the China-US Patent Output
China–US Science and Technology Competitiveness Assessment Report (2020)
2021
Application of Quasi-Monte Carlo Sampling to the Multi Path Method for Radiosity
Monte-Carlo and Quasi-Monte Carlo Methods 1998
2000
Deep Neural Network Based Optical Monitor Providing Self-Confidence as Auxiliary Output
2018 European Conference on Optical Communication (ECOC)
2018
An adaptive prediction method for signal fusion
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
2017
Signal Conditioning with Almost No Multiplications via Filter Sharpening
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
2007

Education

PhD Applied Mathematics

Claremont, California, United States of America

Massachusetts Institute of Technology

MS Electrical Engineering and Computer Science

Cambridge, Massachusetts, United States of America

Massachusetts Institute of Technology

BS Electrical Engineering

Cambridge, Massachusetts, United States of America

Experience

Holland AI LLC

Edwards Lifesciences

Welch Allyn

Schlumberger

Links & Social Media

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