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Work with thought leaders and academic experts in Instrumentation

Companies can benefit from collaborating with academic researchers in Instrumentation in several ways. These experts can provide innovative solutions to complex problems, offer specialized knowledge and skills, conduct cutting-edge research, develop new technologies and products, enhance product quality and performance, improve efficiency and productivity, provide valuable insights and recommendations, offer training and education, and establish valuable industry-academia partnerships.

Researchers on NotedSource with backgrounds in Instrumentation include Vladislav Zakharov, PhD, Siddharth Maddali, Xiaolei Wang, IQRAM HUSSAIN, Ph.D., PhD.Heydy Castillejos, Stephen Horowitz, john kerry, Dr. Swati Deswal, Ph.D., and Tim Osswald.

Vladislav Zakharov, PhD

Stony Brook, New York, United States of America
Stony Brook University
Most Relevant Research Expertise
Instrumentation
Other Research Expertise (6)
AMO & nuclear experiment
Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering
Nuclear Energy and Engineering
Nuclear and High Energy Physics
And 1 more
About
Vladislav Zakharov has earned a PhD in physics from Stony Brook University after working for professor Thomas K. Hemmick to help design and build a new Time Projection Chamber (TPC) for the sPHENIX experiment at the Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Lab (BNL). His dissertation focused on a technique to suppress Ion Back-Flow (IBF) in a TPC.
Most Relevant Publications (1+)

7 total publications

The effects of a passive Bi-Polar Grid (BPG) on Ion Back-Flow (IBF) and resolution

Journal of Instrumentation / Jun 01, 2023

Zakharov, V., Shulga, E., Garg, P., Hemmick, T., & Milov, A. (2023). The effects of a passive Bi-Polar Grid (BPG) on Ion Back-Flow (IBF) and resolution. Journal of Instrumentation, 18(06), C06024. https://doi.org/10.1088/1748-0221/18/06/c06024

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Siddharth Maddali

Fremont, California, United States of America
Computational physicist with a specialization in X-ray and optical imaging and microscopy for condensed matter and materials systems.
Most Relevant Research Expertise
Instrumentation
Other Research Expertise (21)
Computational microscopy
Fourier/physical optics
signal processing
physics
HPC
And 16 more
About
Computational materials, imaging and microscopy scientist with **8 years combined experience** in industry and national laboratories. Expert in physics-based imaging and characterization with X-rays and optical probes, high-performance computing for light-matter interaction and materials data analysis. Experienced in machine learning for materials discovery. Previous experience at the National Energy Technology Laboratory, Argonne National Laboratory and KLA Corporation. <br>
Most Relevant Publications (1+)

29 total publications

Multimodal X-ray imaging of grain-level properties and performance in a polycrystalline solar cell

Journal of Synchrotron Radiation / May 14, 2019

Ulvestad, A., Hruszkewycz, S. O., Holt, M. V., Hill, M. O., Calvo-Almazán, I., Maddali, S., Huang, X., Yan, H., Nazaretski, E., Chu, Y. S., Lauhon, L. J., Rodkey, N., Bertoni, M. I., & Stuckelberger, M. E. (2019). Multimodal X-ray imaging of grain-level properties and performance in a polycrystalline solar cell. Journal of Synchrotron Radiation, 26(4), 1316–1321. https://doi.org/10.1107/s1600577519003606

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Xiaolei Wang

Raleigh, North Carolina, United States of America
R&D Scientist in biomedical imaging and surgical microscope development
Most Relevant Research Expertise
Instrumentation
Other Research Expertise (19)
Optical imaging system development
image analysis algorithm development
Atomic and Molecular Physics, and Optics
Mechanics of Materials
Mechanical Engineering
And 14 more
About
I am an R&D Optical Scientist and Expert specializing in Optical Imaging and Optical Microscope Development for biomedical and clinical applications. With a background in Physics and over 15 years of experience in optical science and imaging, I am passionate about pushing the boundaries of what light can achieve in the realm of medicine and healthcare. My journey in the world of optics has led me to become a leader in the research and development of next-generation optical imaging products that have a profound impact on surgical procedures and patient outcomes. My areas of expertise encompass optical physics, optical microscopy, optical metrology, photonics, and computational modeling and simulation. I've had the privilege of sharing my insights through multiple peer-reviewed publications in prestigious journals like ACS Nano, Optical Letter, and Advanced Materials. Additionally, I hold certifications in machine learning and deep learning for image analysis, allowing me to harness the power of cutting-edge technology in my work.
Most Relevant Publications (5+)

33 total publications

A compact efficient deep ultraviolet laser at 266 nm

Laser Physics Letters / Feb 08, 2013

Zhai, S. Y., Wang, X. L., Wei, Y., Chen, W. D., Zhuang, F. J., Xu, S., Li, B. X., Fu, J. J., Chen, Z. Q., Wang, H. W., Huang, C. H., & Zhang, G. (2013). A compact efficient deep ultraviolet laser at 266 nm. Laser Physics Letters, 10(4), 045402. https://doi.org/10.1088/1612-2011/10/4/045402

6.2 W diode-end-pumped 1313 nm Nd:YLF laser

Laser Physics / May 11, 2012

Wei, Y., Xu, S., Huang, C. H., Zhuang, F. J., Chen, W. D., Huang, L. X., Wang, X. L., & Zhang, G. (2012). 6.2 W diode-end-pumped 1313 nm Nd:YLF laser. Laser Physics, 22(6), 1029–1032. https://doi.org/10.1134/s1054660x12060163

A continuous-wave, widely tunable, intra-cavity, singly resonant, magnesium-doped, periodically poled lithium niobate optical parametric oscillator

Laser Physics / Apr 10, 2013

Li, Z. P., Duan, Y. M., Wu, K. R., Zhang, G., Zhu, H. Y., Wang, X. L., Chen, Y. H., Xue, Z. Q., Lin, Q., Song, G. C., & Su, H. (2013). A continuous-wave, widely tunable, intra-cavity, singly resonant, magnesium-doped, periodically poled lithium niobate optical parametric oscillator. Laser Physics, 23(5), 055006. https://doi.org/10.1088/1054-660x/23/5/055006

Integrated Dynamic 3D Imaging of Microbial Processes and Communities in Rhizosphere Environments: The Argonne Small Worlds Project

Microscopy and Microanalysis / Jul 01, 2017

Kemner, K. M., Hereld, M., Scherer, N., Selewa, A., Wang, X., Gdor, I., Daddysman, M., Jureller, J., Huynh, T., Cossairt, O., Katsaggelos, A., He, K., Yoo, S., Matsuda, N., Glick, B., Riviere, P. L., Austin, J., Day, K., Chandler, T., … Noirot, M. F. (2017). Integrated Dynamic 3D Imaging of Microbial Processes and Communities in Rhizosphere Environments: The Argonne Small Worlds Project. Microscopy and Microanalysis, 23(S1), 340–341. https://doi.org/10.1017/s1431927617002380

Efficient end-pumped multi-wavelength laser operation of disordered Nd:LiGd(WO4)2crystal

Laser Physics / Aug 19, 2013

Xu, S., Huang, X., Li, B., Wei, Y., Wang, X., Huang, C., Zhuang, F., Chen, W., Zhai, S., & Zhang, G. (2013). Efficient end-pumped multi-wavelength laser operation of disordered Nd:LiGd(WO4)2crystal. Laser Physics, 23(9), 095807. https://doi.org/10.1088/1054-660x/23/9/095807

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IQRAM HUSSAIN, Ph.D.

New York City, New York, United States of America
Weill Cornell Medicine, Cornell University, NY, USA
Most Relevant Research Expertise
Instrumentation
Other Research Expertise (32)
Biomedical & Medical Physics
AI (Machine & Deep Learning)
Anesthesiology
Sleep Medicine
Human Gait & brain
And 27 more
About
Iqram Hussain works at the Department of Anesthesiology, Weill Cornell Medicine, Cornell University, NY, USA. Earlier, he was a postdoctoral researcher at the Medical Research Center, Department of Biomedical Engineering, Seoul National University. He pursued a Ph.D. degree in Medical Physics from the University of Science and Technology (UST), South Korea. He worked as a Research Associate with the Korea Research Institute of Standards and Science (KRISS), Daejeon, South Korea. He worked on the Knowledgebase Super Brain (KSB) project at the Electronics and Telecommunication Research Institute (ETRI), Daejeon. He received a B.Sc. degree in mechanical engineering from the Khulna University of Engineering & Technology, Bangladesh, in 2007. He has ten years of work experience in power plant operation and maintenance and power plant project management. His research interests include wearable sleep monitoring, neuroscience, medical physics, human factors, and ergonomics. He has experience in healthcare research, project management, power plant operation, and maintenance. He is a reviewer in IEEE Access, Sensors, Applied Sciences, Biomedical Signal Processing and Control, IEEE Transactions, Science of the Total Environment, Neuroscience Informatics, Brain Sciences, etc. He is a guest editor in special issues of several Journals. Website: https://sites.google.com/view/iqram/home
Most Relevant Publications (7+)

43 total publications

Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages

Sensors / Apr 17, 2022

Hussain, I., Hossain, M. A., Jany, R., Bari, M. A., Uddin, M., Kamal, A. R. M., Ku, Y., & Kim, J.-S. (2022). Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages. Sensors, 22(8), 3079. https://doi.org/10.3390/s22083079

Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal

Sensors / Dec 15, 2022

Islam, M. S., Hussain, I., Rahman, M. M., Park, S. J., & Hossain, M. A. (2022). Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal. Sensors, 22(24), 9859. https://doi.org/10.3390/s22249859

Prediction of Myoelectric Biomarkers in Post-Stroke Gait

Sensors / Aug 07, 2021

Hussain, I., & Park, S.-J. (2021). Prediction of Myoelectric Biomarkers in Post-Stroke Gait. Sensors, 21(16), 5334. https://doi.org/10.3390/s21165334

Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System

Sensors / Oct 21, 2021

Hussain, I., Young, S., & Park, S.-J. (2021). Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System. Sensors, 21(21), 6985. https://doi.org/10.3390/s21216985

Quantifying Physiological Biomarkers of a Microwave Brain Stimulation Device

Sensors / Mar 08, 2021

Hussain, I., Young, S., Kim, C. H., Benjamin, H. C. M., & Park, S. J. (2021). Quantifying Physiological Biomarkers of a Microwave Brain Stimulation Device. Sensors, 21(5), 1896. https://doi.org/10.3390/s21051896

Interpreting Stroke-Impaired Electromyography Patterns through Explainable Artificial Intelligence

Sensors / Feb 21, 2024

Hussain, I., & Jany, R. (2024). Interpreting Stroke-Impaired Electromyography Patterns through Explainable Artificial Intelligence. Sensors, 24(5), 1392. https://doi.org/10.3390/s24051392

An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME

Sensors / Aug 27, 2023

Hussain, I., Jany, R., Boyer, R., Azad, A., Alyami, S. A., Park, S. J., Hasan, M. M., & Hossain, M. A. (2023). An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME. Sensors, 23(17), 7452. https://doi.org/10.3390/s23177452

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PhD.Heydy Castillejos

Weston, Florida, United States of America
Research professor, Universidad Autónoma del Estado de Hidalgo
Most Relevant Research Expertise
Instrumentation
Other Research Expertise (10)
Image and signal processing
boimedical signals
segmentation
classification
CAD
And 5 more
About
Results-oriented professional with over 15 years of experience in research and teaching. Skilled in Python, MATLAB programming, image processing, and telecommunications. Demonstrated ability to work under pressure, manage time effectively, and solve complex problems. Successfully advised doctoral candidates on data analysis methods, authored multiple peer-reviewed journal articles, and secured funding for future research initiatives. Developed innovative curricula for advanced mathematics courses and utilized technology to enhance learning experiences. A fast learner with excellent written and verbal communication skills.
Most Relevant Publications (2+)

15 total publications

Written Documents Analyzed as Nature-Inspired Processes: Persistence, Anti-Persistence, and Random Walks—We Remember, as Along Came Writing—T. Holopainen

Applied Sciences / Sep 12, 2020

López-Ortega, O., Pérez-Cortés, O., Castillejos-Fernández, H., Castro-Espinoza, F.-A., & González-Mendoza, M. (2020). Written Documents Analyzed as Nature-Inspired Processes: Persistence, Anti-Persistence, and Random Walks—We Remember, as Along Came Writing—T. Holopainen. Applied Sciences, 10(18), 6354. https://doi.org/10.3390/app10186354

Crouch Gait Analysis and Visualization Based on Gait Forward and Inverse Kinematics

Applied Sciences / Oct 11, 2022

Gonzalez-Islas, J.-C., Dominguez-Ramirez, O.-A., Lopez-Ortega, O., Peña-Ramirez, J., Ordaz-Oliver, J.-P., & Marroquin-Gutierrez, F. (2022). Crouch Gait Analysis and Visualization Based on Gait Forward and Inverse Kinematics. Applied Sciences, 12(20), 10197. https://doi.org/10.3390/app122010197

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Stephen Horowitz

Bennington, Vermont, United States of America
PhD + 20 years experience, R&D/Engineering/Tech Executive in Sensors, MEMS, semiconductors
Most Relevant Research Expertise
Instrumentation
Other Research Expertise (6)
Acoustics and Ultrasonics
Electrical and Electronic Engineering
Surfaces, Coatings and Films
Electronic, Optical and Magnetic Materials
Aerospace Engineering
And 1 more
About
I have over 20 years of engineering and R&D experience in sensors and MEMS including physical modeling, transduction, design, optimization, fabrication, characterization/test, and algorithm development, as well as 10 years of technical management/executive experience in operations, product development, R&D, business development, marketing and technical sales. I have a track record of success in taking early stage R&D concepts through to full products, and developing and growing businesses based on those products. I hold a PhD in Electrical Engineering from the University of Florida, where I focused on sensor and instrumentation development, leading to 20 years of academic/industry experience in research, modeling, optimization, microfabrication, and testing of scientific instruments that requires in-depth knowledge of multidisciplinary physical systems (mechanical, electrical, acoustic, fluidic, thermal, and optical). I am well versed in MATLAB and LabVIEW, as well as first-principles development of lumped element modeling (LEM) for physical systems of all kinds. As the former CEO of an innovation-driven startup, my most important roles were defining the long-term vision and strategy, and building the teams and the people to make it all happen.
Most Relevant Publications (1+)

27 total publications

Effects of scaling and geometry on the performance of piezoelectric microphones

Sensors and Actuators A: Physical / Oct 01, 2012

Horowitz, S. B., Mathias, A. D., Fox, J. R., Cortes, J. P., Sanghadasa, M., & Ashley, P. (2012). Effects of scaling and geometry on the performance of piezoelectric microphones. Sensors and Actuators A: Physical, 185, 24–32. https://doi.org/10.1016/j.sna.2012.07.008

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john kerry

Food Consultant PhD in Food Science & Technology
Most Relevant Research Expertise
Instrumentation
Other Research Expertise (10)
Food Process Technology
Value Added RTE meat and Convenience Foods
Food Safety
Product R&D
Food Science
And 5 more
About
A Food professional with > 20 years of experience within the meat and value added food sectors, Internationally. Considerable know how in food process (turn key lines: equipment development/selection, installation and commissioning/optimization) and product development (use of novel ingredients, least cost formulation, product quality enhancement initiatives as related to formulation and equipment/process selection). An excellent communicator and project manger with an ability to disseminate information in a clear and concise manner.
Most Relevant Publications (1+)

43 total publications

Online Optical Fiber Sensor for Detecting Premature Browning in Ground Beef Using Pattern Recognition Techniques and Reflection Spectroscopy

IEEE Sensors Journal / Dec 01, 2007

O’Farrell, M., Sheridan, C., Lewis, E., Flanagan, C., Kerry, J. F., & Jackman, N. (2007). Online Optical Fiber Sensor for Detecting Premature Browning in Ground Beef Using Pattern Recognition Techniques and Reflection Spectroscopy. IEEE Sensors Journal, 7(12), 1685–1692. https://doi.org/10.1109/jsen.2007.908441

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Dr. Swati Deswal, Ph.D.

Raleigh, North Carolina, United States of America
Postdoc working in energy harvesting domain with publications on Piezoelectric and triboelectric nanogenerators
Most Relevant Research Expertise
Instrumentation
Other Research Expertise (17)
Ferroelectric
Piezoelectric
Perovskites
Nanogenerator
Energy Harvesting
And 12 more
About
I design novel materials with unprecedented electrical performance for energy-harvesting applications. I work with a multidisciplinary team of chemists, physicists, and engineers to characterize and fabricate devices, such as piezoelectric and triboelectric generators, that can convert mechanical energy into electrical energy.
Most Relevant Publications (2+)

13 total publications

Molecular Ferroelectric Based Biocompatible Flexible Piezoelectric Pressure Sensor

IEEE Sensors Letters / Jun 01, 2023

Deswal, S., Khandelwal, G., & Dahiya, R. (2023). Molecular Ferroelectric Based Biocompatible Flexible Piezoelectric Pressure Sensor. IEEE Sensors Letters, 7(6), 1–4. https://doi.org/10.1109/lsens.2023.3280418

Transparent Piezoelectric Nanogenerator for Self-Powered Force Sensing Applications

IEEE Sensors Letters / May 01, 2023

Nair, N. M., Deswal, S., & Dahiya, R. (2023). Transparent Piezoelectric Nanogenerator for Self-Powered Force Sensing Applications. IEEE Sensors Letters, 7(5), 1–4. https://doi.org/10.1109/lsens.2023.3272768

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Tim Osswald

Polymers Professor - University of Wisconsin
Most Relevant Research Expertise
Instrumentation
Other Research Expertise (44)
Polymer Engineering
Advanced Manufacturing
Composites
Additive Manufacturing
Materials Chemistry
And 39 more
About
T. Osswald is Hoeganaes Professor of Materials at the University of Wisconsin-Madison, where he has been a faculty member since 1989. Osswald received the PhD in Mechanical Engineering from the University of Illinois at Urbana-Champaign in 1987, the MS in Mechanical Engineering from the South Dakota School of Mines and Technology in 1982, and the BS in Mechanical Engineering from the South Dakota School of Mines and Technology in 1981. Before joining the UW-Madison faculty, Osswald was a Humboldt Fellow at the Rheinisch Westfalische Technische Hochschule Aachen. Osswald’s research interests are in the areas of processing-structure-property relationships for metals and composites, with a focus on powder metallurgy and metal injection molding. His research has been supported by the National Science Foundation, the Department of Energy, the US Army Research Office, and industry. Osswald is a Fellow of ASM International and the American Academy of Mechanics, and he has received the Extrusion Division Award, the Powder Metallurgy Division Award, and the Distinguished Teaching Award from TMS.
Most Relevant Publications (1+)

117 total publications

Targeted Temperature Manipulation and Analysis of the Influence on Mechanical Properties in Large-Scale Extrusion Additive Manufacturing

Applied Sciences / Mar 15, 2022

Tagscherer, N., Osswald, T. A., & Drechsler, K. (2022). Targeted Temperature Manipulation and Analysis of the Influence on Mechanical Properties in Large-Scale Extrusion Additive Manufacturing. Applied Sciences, 12(6), 2998. https://doi.org/10.3390/app12062998

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Example Instrumentation projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Instrumentation?

Development of Advanced Sensor Technology

An academic researcher in Instrumentation can collaborate with a company to develop advanced sensor technology for precise and accurate measurements. This can lead to improved product quality, enhanced performance, and increased customer satisfaction.

Optimization of Industrial Processes

By working with an academic researcher in Instrumentation, companies can optimize their industrial processes through the implementation of advanced monitoring and control systems. This can result in increased efficiency, reduced costs, and improved overall productivity.

Design and Calibration of Measurement Instruments

Collaborating with an academic researcher in Instrumentation can help companies in the design and calibration of measurement instruments. This ensures accurate and reliable measurements, leading to better decision-making, improved product development, and compliance with industry standards.

Development of IoT-based Instrumentation Solutions

Academic researchers in Instrumentation can assist companies in the development of Internet of Things (IoT)-based instrumentation solutions. This enables real-time data collection, remote monitoring, and predictive maintenance, resulting in improved operational efficiency and reduced downtime.

Application of Instrumentation in Biomedical Research

Companies in the biomedical research field can collaborate with academic researchers in Instrumentation to apply advanced instrumentation techniques in their research. This can lead to breakthrough discoveries, improved diagnostics, and the development of innovative medical devices.