Alex Holland, PhD

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

Research Interests

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.

Publications

Fusion research to face 'make or break' demands from US Congress

Nature / Feb 01, 1994

Macilwain, C. (1994). Fusion research to face “make or break” demands from US Congress. Nature, 367(6465), 669–669. https://doi.org/10.1038/367669a0

Removing 0.5 Hz Baseline Wander From ECG Signal Using Multistage Adaptive Filter

Engineering and Technology Journal / Aug 01, 2011

H. Abbas, H. (2011). Removing 0.5 Hz Baseline Wander From ECG Signal Using Multistage Adaptive Filter. Engineering and Technology Journal, 29(11), 2312–2328. https://doi.org/10.30684/etj.29.11.18

Design and performance Evaluation of a Fault-Tolerant, Hard-Real-Time, Parallel Processor

Responsive Computer Systems: Steps Toward Fault-Tolerant Real-Time Systems / Jan 01, 1995

Clasen, R., Harper, R., & Czeck, E. (1995). Design and performance Evaluation of a Fault-Tolerant, Hard-Real-Time, Parallel Processor. In Responsive Computer Systems: Steps Toward Fault-Tolerant Real-Time Systems (pp. 225–250). Springer US. https://doi.org/10.1007/978-1-4615-2271-3_12

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 / Apr 01, 2012

Tanenhaus, M., Carhoun, D., Geis, T., Wan, E., & Holland, A. (2012, April). 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. https://doi.org/10.1109/plans.2012.6236890

Calculation of the Kalman Gain (the Carew and Belanger Method)

Modeling, Estimation and Optimal Filtering in Signal Processing / Jan 01, 2008

Calculation of the Kalman Gain (the Carew and Belanger Method). (2008, January). Modeling, Estimation and Optimal Filtering in Signal Processing; Wiley; Portico. https://doi.org/10.1002/9780470611104.app10

Analog-to-Digital Converter

Jul 22, 1987

Morris, F. (1987). Analog-to-Digital Converter. Defense Technical Information Center. https://doi.org/10.21236/ada268539

Accurate real time inertial navigation device by application and processing of arrays of MEMS inertial sensors

IEEE/ION Position, Location and Navigation Symposium / May 01, 2010

Tanenhaus, M., Geis, T., Carhoun, D., & Holland, A. (2010, May). Accurate real time inertial navigation device by application and processing of arrays of MEMS inertial sensors. IEEE/ION Position, Location and Navigation Symposium. https://doi.org/10.1109/plans.2010.5507137

X-Band Hybrid-Integrated VCOs with High Tuning Linearity

14th European Microwave Conference, 1984 / Oct 01, 1984

Luan, D. F., Zhou, G. Y., & Qin, S. (1984, October). X-Band Hybrid-Integrated VCOs with High Tuning Linearity. 14th European Microwave Conference, 1984. https://doi.org/10.1109/euma.1984.333411

A novel recursive Fourier transform for nonuniform sampled signals: application to heart rate variability spectrum estimation

Medical & Biological Engineering & Computing / Feb 27, 2009

Holland, A., & Aboy, M. (2009). A novel recursive Fourier transform for nonuniform sampled signals: application to heart rate variability spectrum estimation. Medical & Biological Engineering & Computing, 47(7), 697–707. https://doi.org/10.1007/s11517-009-0461-0

species [n] [US], nonnative

Encyclopedic Dictionary of Landscape and Urban Planning / Jan 01, 2010

species [n] [US], nonnative. (2010). In Encyclopedic Dictionary of Landscape and Urban Planning (pp. 949–949). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-76435-9_13448

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 / Jan 01, 2008

Tanenhaus, M., Carhoun, D., & Holland, A. (2008). 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. https://doi.org/10.1109/plans.2008.4569976

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) / Jul 01, 2019

Holland, A., & Asgari, S. (2019, July). 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). https://doi.org/10.1109/embc.2019.8857110

A novel statistical model for arterial blood pressure signals

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) / Aug 01, 2015

Holland, A., & Asgari, S. (2015, August). A novel statistical model for arterial blood pressure signals. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2015.7318305

Comparing the China-US Patent Output

China–US Science and Technology Competitiveness Assessment Report (2020) / Apr 30, 2021

Comparing the China-US Patent Output. (2021). In China–US Science and Technology Competitiveness Assessment Report (2020) (pp. 125–149). WORLD SCIENTIFIC. https://doi.org/10.1142/9789811232176_0005

Application of Quasi-Monte Carlo Sampling to the Multi Path Method for Radiosity

Monte-Carlo and Quasi-Monte Carlo Methods 1998 / Jan 01, 2000

Castro, F., & Sbert, M. (2000). Application of Quasi-Monte Carlo Sampling to the Multi Path Method for Radiosity. In Monte-Carlo and Quasi-Monte Carlo Methods 1998 (pp. 163–176). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-59657-5_10

Deep Neural Network Based Optical Monitor Providing Self-Confidence as Auxiliary Output

2018 European Conference on Optical Communication (ECOC) / Sep 01, 2018

Tanimura, T., Kato, T., Watanabe, S., & Hoshida, T. (2018, September). Deep Neural Network Based Optical Monitor Providing Self-Confidence as Auxiliary Output. 2018 European Conference on Optical Communication (ECOC). https://doi.org/10.1109/ecoc.2018.8535225

An adaptive prediction method for signal fusion

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) / Jul 01, 2017

Holland, A., & Asgari, S. (2017, July). An adaptive prediction method for signal fusion. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2017.8037432

Signal Conditioning with Almost No Multiplications via Filter Sharpening

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society / Aug 01, 2007

Holland, A. (2007, August). Signal Conditioning with Almost No Multiplications via Filter Sharpening. 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. https://doi.org/10.1109/iembs.2007.4352352

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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