Work with thought leaders and academic experts in Surface Science

Companies can greatly benefit from collaborating with academic researchers in the field of Surface Science. These experts can provide valuable insights and solutions to enhance research and development efforts, improve product performance, and gain a competitive edge in the market. By leveraging their expertise, companies can optimize surface properties, develop innovative materials and coatings, and solve complex surface-related challenges. Surface Science researchers can also assist in analyzing and characterizing surfaces, conducting surface modification techniques, and exploring new applications and technologies. Collaborating with these experts can lead to breakthrough discoveries, improved product quality, and increased customer satisfaction.

Researchers on NotedSource with backgrounds in Surface Science include Joshua Cohen, Stavros Karakalos, Kostas Sarakinos, Tatyana Kravchuk, Ahmad Audi, and Sonya Good.

Joshua Cohen

Cincinnati, Ohio, United States of America
9 Years Experience
PhD in Physics Applies Scientific Expertise to Develop ML Models for Diverse Applications
Education

Tufts University

Ph.D., Physics / July, 2018

Medford, Massachusetts, United States of America
Experience

Clarigent Health

Chief Scientific Officer / January, 2022 — Present

•Leads team's scientific and technical efforts for company focused on identifying mental health risks from speech data •Direct clinical mental health data collection for machine learning model development, validation, and utility assessment •Heads communication of scientific achievements through peer-reviewed publications and conference presentations

Director of Data Science / September, 2020 — January, 2022

•Invented novel quantitative methods to drive product changes and improve end-to-end customer experience (e.g., automatic speaker identification, transcript quality assessments, and on-topic speech detection) •Developed customer facing dashboard and data model in Microsoft PowerBI to communicate sensitive patient data •Published 2 first author articles validating machine learning models and presented findings at international conference •Principal Investigator for Phase I NIH SBIR grant investigating and mitigating machine learning model bias •Oversaw interviewing, onboarding, training, and daily tasks of 5 data scientists

Senior Data Scientist / September, 2019 — September, 2020

Developed and deployed ML models in Python to identify suicidal risk, depression, and anxiety from speech data •Experimented with various ML approaches (e.g., SVM, RF, and ANN) to improve model performance •Utilized advanced NLP (e.g., word embeddings and sentiment analysis) to extract meaningful features and improve accuracy •Designed and implemented ETL pipelines to efficiently extract, transform, and load large volumes of speech data

Freelance

Data Scientist / January, 2019 — September, 2019

Developed models to predict mouse sleep states (sleep, REM, wake) from brain and muscle signals with 96% accuracy

UES at Air Force Research Labs

Research Scientist / August, 2018 — September, 2019

•Lead R&D program for medical countermeasures of directed energy in 711th HPW/Force Health Protection Branch •Principal Investigator: Feasibility of Deployed Medical System Hardening to Directed Energy, In-Vitro Cellular Response to Directed Energy, Rapid Environmental Site Assessment with Readily Available Biomaterials •Characterized emissions from ammunition causing health issues with microscopic, spectroscopic, and statistical analysis

Research Expertise (2)
Public Health, Environmental and Occupational Health
Physical and Theoretical Chemistry
About
I am a highly motivated individual with expertise in various artificial intelligence (AI) tools, including machine learning (ML) and natural language processing (NLP). Over the course of my academic and professional career, I have developed a strong skill set in these areas, and have applied them to various domains, including mental health. At Clarigent Health, I have played a key role in developing and improving machine learning models that analyze patient speech to identify mental health concerns such as depression, anxiety, and suicide risk. In addition, I have been the principal investigator on a NIMH SBIR grant investigating machine learning model performance across different patient characteristics and settings. Moreover, I have experience in developing and implementing customer-facing dashboards using tools like PowerBI, which enable clients to interact with and derive insights from complex data sets. Through my work at Clarigent Health, I have been able to leverage my expertise in ML, NLP, and other AI-related tools to drive innovation and improve mental health outcomes through data-driven solutions.

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Stavros Karakalos

Santa Clarita, California, United States of America
14 Years Experience
Surface Scientist with extensive experience in materials characterization
Education

University of Patras School of Engineering

PhD, Chemical Engineering / February, 2009

Patras

University of Patras School of Engineering

MSc, Chemical Engineering / September, 2005

Patras

University of Ioannina School of Sciences and Technology

B.S. , Physics / September, 2003

Ioannina
Experience

Institute for Carbon Management, UCLA

Assistant Director / April, 2022 — September, 2022

University of South Carolina

Research Assistant Professor / July, 2016 — March, 2022

Harvard University

Post-doctoral Associate / January, 2015 — June, 2016

Most Relevant Research Expertise
Surface Science
Other Research Expertise (28)
Materials Science
Physical Chemistry
Condensed Matter Physics
Heterogeneous Catalysis
Biochemistry
And 23 more
About
As a chemical engineer with a passion for advancing materials science, I bring a wealth of expertise to the field of materials characterization and research. My professional journey has been defined by a relentless pursuit of understanding surface phenomena and interfaces through cutting-edge techniques. My academic background has provided me with a strong foundation in chemical engineering, allowing me to delve deeply into the intricate world of materials characterization. Over the years, I have honed my skills in utilizing surface-sensitive techniques to unravel the complexities of various materials. A significant portion of my research endeavors has been dedicated to exploring heterogeneous catalysis and the interfaces crucial to battery technologies. Through meticulous experimentation and analysis, I have contributed to uncovering insights that drive innovation in energy storage and conversion systems. My expertise extends to semiconductor materials, where I have actively engaged in research pertaining to solar cells and electrochemical cells. By leveraging state-of-the-art laboratory facilities, including Ultra High Vacuum techniques and advanced microscopic capabilities such as electron microscopes and energy-dispersive X-ray spectroscopy, I have been able to push the boundaries of what is possible in materials science. At the core of my work lies a commitment to pushing the frontiers of knowledge and driving practical applications. My fully equipped laboratory serves as a hub for interdisciplinary exploration, where collaboration and innovation thrive. I am driven by a profound curiosity to unravel the mysteries of materials behavior and to translate these discoveries into tangible solutions that address pressing societal challenges. With a blend of academic rigor, technical proficiency, and a relentless drive for excellence, I am poised to make enduring contributions to the ever-evolving landscape of materials science and engineering.

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Kostas Sarakinos

22 Years Experience
Professor of Experimental Materials Physics, University of Helsinki, Finland
Education

Linkoping University

Docent in Material Physics, Department of Physics, Chemistry and Biology / December, 2012

Linkoping

RWTH Aachen Univeristy

Ph.D. in Physics, Institute of Physics IA / February, 2008

Aachen

Aristotle University of Thessaloniki

M.Sc. in Nanoscience and Nanotechnology, Department of Physics / July, 2004

Thessaloniki
Experience

University of Helsinki

Professor / December, 2024 — Present

Associate Professor / December, 2021 — November, 2024

KTH Royal Institute of Technology

Researcher / March, 2022 — Present

Linköping University

Associate Professor and Divsion Head / October, 2017 — October, 2021

Senior Lecturer and Divsion Head / August, 2015 — October, 2017

LiU Research Fellow and Divsion Head / October, 2014 — August, 2015

LiU Research Fellow / August, 2011 — October, 2014

Post-doctoral Researcher / April, 2010 — August, 2011

Most Relevant Research Expertise
surface science
Other Research Expertise (4)
thin films
in situ diagnostics
growth simulations
HiPIMS

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Tatyana Kravchuk

Los Gatos, California, United States of America
Doctor of Physical Chemistry
Most Relevant Research Expertise
Surface Science
Other Research Expertise (4)
Mass Spectrometry
Metrology
Surface Dynamics
Molecular Beams

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Ahmad Audi

Education

Kansas State University

Research Expertise (0)

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Sonya Good

Education

Louisiana State University

Jackson State University

Research Expertise (0)

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Example Surface Science projects

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

Enhancing Coating Durability

A company in the automotive industry can collaborate with a Surface Science expert to enhance the durability of their coatings. By analyzing the surface properties and interactions, the researcher can develop novel coating formulations that resist wear, corrosion, and environmental degradation, leading to longer-lasting and more reliable coatings.

Improving Adhesion Strength

A company in the electronics industry can benefit from working with a Surface Science researcher to improve the adhesion strength of their products. Through surface analysis and modification techniques, the expert can optimize the surface chemistry and topography, resulting in stronger and more reliable adhesion between different materials, such as metals and polymers.

Developing Self-Cleaning Surfaces

A company in the consumer goods industry can collaborate with a Surface Science expert to develop self-cleaning surfaces. By understanding the surface properties and interactions, the researcher can design coatings or materials that repel dirt, water, and other contaminants, making the products easier to clean and maintain.

Optimizing Solar Cell Efficiency

A company in the renewable energy sector can benefit from the expertise of a Surface Science researcher to optimize the efficiency of solar cells. Through surface analysis and modification techniques, the expert can improve the light absorption, charge transport, and electron extraction properties of the solar cell surfaces, leading to higher energy conversion efficiency.

Preventing Biofouling

A company in the marine industry can collaborate with a Surface Science expert to prevent biofouling on their structures and equipment. By studying the surface interactions with marine organisms, the researcher can develop anti-fouling coatings or surface modifications that inhibit the attachment and growth of biofouling organisms, reducing maintenance costs and improving operational efficiency.