Work with thought leaders and academic experts in Automotive Engineering

Companies can greatly benefit from collaborating with academic researchers in the field of Automotive Engineering. These experts bring a deep understanding of automotive technologies, industry trends, and innovative solutions. By working with them, companies can gain access to cutting-edge research, advanced engineering techniques, and specialized knowledge. They can provide valuable insights and recommendations for improving vehicle performance, fuel efficiency, safety, and sustainability. Academic researchers can also assist in developing new technologies, conducting feasibility studies, and optimizing manufacturing processes. Their expertise can help companies stay ahead of the competition, enhance product quality, reduce costs, and drive innovation in the automotive industry.

Researchers on NotedSource with backgrounds in Automotive Engineering include Jim Samuel, Emmanuel Iarussi, Steve Efe, Konstantinos Tsavdaridis, Milad Hosseinpour, Athul Prasad, Irma Kuljanishvili, Denys Dutykh, Jamie Hughes, Ph.D., Jean Twenge, and Diego Bestel.

Jim Samuel

11 Years Experience
Associate Professor at Rutgers University
Education

Baruch College

PhD, Information Systems / 2007

New York, New York, United States of America
Experience

Rutgers University

Associate Professor / 2021 — Present

Axivest

CIO / 2012 — Present

Most Relevant Research Expertise
Automotive Engineering
Other Research Expertise (21)
Analytics
Artificial Intelligence
Informatics
Machine Learning
NLP NLU NLG Behavioral Finance
And 16 more
About
Jim Samuel is an Associate Professor of Practice and Executive Director of the Informatics Program at the Bloustein School. He is an information and artificial intelligence (AI) scientist, with significant industry experience in finance, technology, entrepreneurship and data analytics. Dr. Samuel’s primary research covers human intelligence and artificial intelligences interaction and information philosophy.  Dr. Samuel’s applied research focuses on the optimal use of big data and smart data driven AI applications, textual analytics, natural language processing and artificially intelligent public opinion informatics. His expertise extends to socioeconomic implications of AI, applied machine learning, social media analytics, AI education and AI bias. Dr. Samuel completed his Ph.D. from the Zicklin School of Business, Baruch College – City University of New York, and he also has M.Arch and M.B.A (International Finance) degrees.  Dr. Samuel has worked with large multinational financial services corporations, and advises businesses and organizations on data analytics and AI driven value creation strategies. He is passionate about research driven thought leadership in AI, information philosophy, analytics and informatics. 
Most Relevant Publications (1+)

44 total publications

They Are Not Mistaken! Why Passive Investments Matter

Journal of Management Policy and Practice / Nov 01, 2018

They Are Not Mistaken! Why Passive Investments Matter. (2018). Journal of Management Policy and Practice, 19(4). https://doi.org/10.33423/jmpp.v19i4.192

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Emmanuel Iarussi

8 Years Experience
ML | CG | CV
Education

Research Centre Inria Sophia Antipolis - Méditerranée

PhD Computer Science / October, 2015

Valbonne

Universidad Nacional del Centro de la Provincia de Buenos Aires

Engineer, Faculty of Exact Sciences / October, 2012

Tandil
Experience

University of Denver

Adjunct Faculty / September, 2023 — Present

Universidad Torcuato Di Tella

Professor / March, 2022 — Present

Consejo Nacional de Investigaciones Científicas y Técnicas

Researcher / June, 2017 — Present

Most Relevant Research Expertise
Automotive Engineering
Other Research Expertise (13)
Computer Graphics
Generative AI
Computer Graphics and Computer-Aided Design
Surgery
Health Informatics
And 8 more
About
I'm a Computer Scientist at [CONICET](http://www.conicet.gov.ar/) and an Assistant Professor at [Universidad Torcuato Di Tella](https://www.utdt.edu/), Argentina. I'm a former postdoc from [IST Austria - Bernd Bickel's group](https://ist.ac.at/). I've got my Ph.D. at [GRAPHDECO](https://team.inria.fr/graphdeco/) group, [INRIA Sophia Antipolis](https://www.inria.fr/centre/sophia/), France. In 2012 I've graduated as a Systems Engineer from [UNICEN University](https://www.unicen.edu.ar/), Tandil, Argentina. My research interests focus on developing AI tools for 2D and 3D content manipulation.

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Steve Efe

AI scientist scientist, technical proposal writer and researcher in engineering materials with over 7 years of success leading small teams of civil and ML engineers, fostering their development and delivering impactful projects.
Education

Morgan State University

Ph.D., Civil Engineering / May, 2016

Baltimore, Maryland, United States of America
Experience

Morgan State University

Assistant Professor

Most Relevant Research Expertise
Automotive Engineering
Other Research Expertise (12)
Mechanical Engineering
Safety, Risk, Reliability and Quality
Civil and Structural Engineering
Building and Construction
Ocean Engineering
And 7 more
About
**Grant writer and USAII Certified AI Scientist (CAIS) and applied researcher in engineering materials** with over 7 years of success leading small teams of ML engineers, fostering their development and delivering impactful projects. With a proven ability to transform innovative ideas into compelling proposals, Steve has become a sought-after professional in the grant writing landscape. His dedication to excellence, strategic approach, and unwavering commitment to securing funding for impactful projects make him a true luminary in the realm of grant acquisition
Most Relevant Publications (1+)

32 total publications

Development of a highway geometry based noise abatement model

Transportation Research Interdisciplinary Perspectives / Jun 01, 2021

Shokouhian, M., Owolabi, O., Efe, S., Ikiriko, S., & Tsegaye, T. (2021). Development of a highway geometry based noise abatement model. Transportation Research Interdisciplinary Perspectives, 10, 100382. https://doi.org/10.1016/j.trip.2021.100382

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Konstantinos Tsavdaridis

London
12 Years Experience
Full Professor of Structural Engineering, Chartered Civil and Structural Engineer
Education

City University London

PhD in Civil/Structural Engineering, Department of Engineering and Mathematics / May, 2010

London

Imperial College London

MSc (DIC) in General Structural Engineering, Department of Civil and Environmental Engineering / September, 2006

London
Experience

City University of London

Professor of Structural Engineering / October, 2021 — Present

University of Leeds

Associate Professor of Structural Engineering / January, 2016 — Present

Assistant Professor in Structural Engneering / September, 2012 — December, 2015

City University

Lecturer in Civil Engineering / September, 2010 — August, 2012

Most Relevant Research Expertise
Automotive Engineering
Other Research Expertise (28)
Mechanics of Materials
Safety, Risk, Reliability and Quality
Building and Construction
Architecture
Civil and Structural Engineering
And 23 more
About
civil engineering, steel structures, composite structures, structural engineering, design optimisation, modular buildings, nonlinear analysis
Most Relevant Publications (1+)

110 total publications

Effect of rotational inertia on building response to earthquakes via a closed-form solution

Mechanics Based Design of Structures and Machines / Feb 05, 2021

Alonso-Rodríguez, A., & Tsavdaridis, K. D. (2021). Effect of rotational inertia on building response to earthquakes via a closed-form solution. Mechanics Based Design of Structures and Machines, 1–14. https://doi.org/10.1080/15397734.2021.1880329

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Milad Hosseinpour

9 Years Experience
Ph.D. Mechanical Engineer with 7 years of expertise in precision metrology
Education

University of North Carolina at Charlotte

PhD, Mechanical Engineering / December, 2022

Charlotte, North Carolina, United States of America

Iran University of Science and Technology

Masters, Automotive Engineering / January, 2013

Tehran

University of Kashan

Bachelor, Mechanical Engineering / September, 2010

Kāshān
Experience

UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE

Post-Doctoral Fellow / December, 2022 — December, 2023

Designed an immersive metrology Lab course, including measurement exercises and calibration, in an elevated postdoctoral role, tailored forundergraduates, delivering hands-on experience, essential real-world skills, the basics of statistical variation, gauge R&R, GD&T, and standardsknowledge. Provided comprehensive LEITZ PMMF training to four PhD students using Quindos 7 software, ensuring their equipment competency, fosteringhands-on learning, and enhancing their proficiency in advanced metrology for research and future use.

Graduate Research Assistant / August, 2021 — December, 2022

Contributed to transdisciplinary "Advanced Nanometer Coordinate Measuring Machine" project with NASA, OptiPro, and UNC Charlotte, improvingmeasurement precision to the nanometer scale. Guided detailed design, aided in system analysis, ensured precise optical component placement,oversaw the manufacturing of a 3D-printed prototype, and enabled effective optical component verification.

University Lecturer / May, 2021 — July, 2021

Led all course aspects, as the instructor of record. Conducted daily lectures and crafted exams for 35 undergraduates in Computational Methods forEngineers, empowering comprehension and success.

Graduate Teaching Assistant / March, 2020 — May, 2021

Showcased instructional expertise by designing and executing complex experiments for graduate students. Excelled in crafting and evaluatingassignments across diverse courses, including Introduction to Control Systems and Dynamics II, Wind Energy Systems, Engineering Analysis,Manufacturing Systems, and Thermodynamics I, underpinning student growth and academic excellence.

Graduate Research Assistant / July, 2018 — March, 2020

Enhanced "Fast Optical Inspection of Helical Cylindrical Gears," a strategic partnership between Nikon Corporation and UNC Charlotte. Innovated aprecise mathematical algorithm for peak detection of laser scanners, significantly improving triangulation sensor measurements and metrologyefficiencies.

Graduate Teaching Assistant / August, 2017 — May, 2018

Proactively designed experiments, assessed assignments, and administered exams for Instrumentation Lab undergraduates, enhancing dynamiceducation through hands-on engagement.

TM PARSEH CO.

Sale Engineer / March, 2015 — January, 2017

Facilitated communication between the company and customers, promptly resolving technical challenges, fostering relationships, and ensuring customer satisfaction.

Most Relevant Research Expertise
Automotive Engineering
Other Research Expertise (13)
Optical Metrology
Gear Metrology and Inspection
Nano-composite Material
FEM
Structural Optimization
And 8 more
About
Innovative and detail-oriented Ph.D. Mechanical Engineer with 7 years of expertise in precision measurements, dimensional metrology, and manual inspection equipment. Proficient in CMM programming, 3D CAD (Solidworks, ANSYS, HyperMesh), and Vision Inspection Systems. Recognized for innovative problem-solving skills, meticulous attention to detail, and effective team leadership. Specialized in GD&T, GR&R, and Calibration Systems. Ready to contribute a comprehensive skillset and a quality-oriented approach to a dynamic role.
Most Relevant Publications (2+)

9 total publications

Free vibration analysis of an electro-elastic GPLRC cylindrical shell surrounded by viscoelastic foundation using modified length-couple stress parameter

Mechanics Based Design of Structures and Machines / Dec 27, 2019

Ghabussi, A., Ashrafi, N., Shavalipour, A., Hosseinpour, A., Habibi, M., Moayedi, H., Babaei, B., & Safarpour, H. (2019). Free vibration analysis of an electro-elastic GPLRC cylindrical shell surrounded by viscoelastic foundation using modified length-couple stress parameter. Mechanics Based Design of Structures and Machines, 49(5), 738–762. https://doi.org/10.1080/15397734.2019.1705166

Vibration response of viscoelastic sandwich plate with magnetorheological fluid core and functionally graded-piezoelectric nanocomposite face sheets

Journal of Vibration and Control / Jan 02, 2018

Ghorbanpour Arani, A., BabaAkbar Zarei, H., & Haghparast, E. (2018). Vibration response of viscoelastic sandwich plate with magnetorheological fluid core and functionally graded-piezoelectric nanocomposite face sheets. Journal of Vibration and Control, 107754631774750. https://doi.org/10.1177/1077546317747501

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Athul Prasad

17 Years Experience
5G / 6G Technology and Ventures at Samsung; D.Sc. (Tech), MBA
Education

Massachusetts Institute of Technology

Master of Business Administration, Sloan School of Management / May, 2020

Cambridge, Massachusetts, United States of America

Aalto-yliopisto Sähkötekniikan korkeakoulu

Doctor of Science (Technology), Communication and Networking / December, 2015

Aalto

Aalto University

M.Sc. (Tech), Wireless Communications / March, 2011

Espoo
Experience

Nokia Solutions and Networks Oy

Senior Specialist, Radio Research / June, 2014 — January, 2023

Wireless research, scientific publications, patents

Samsung Electronics

Senior Manager / January, 2023 — Present

Technology partnership, strategy, business development

NEC Europe Ltd

Research Engineer / December, 2012 — May, 2014

Most Relevant Research Expertise
Automotive Engineering
Other Research Expertise (35)
Machine Learning
Mobility Management
5G / New Radio
Dynamic Resource Allocation
Electrical and Electronic Engineering
And 30 more
About
Dr. Athul Prasad received his MBA from MIT where he was a Sloan Fellow, M.Sc. (Tech.) (with distinction) and D.Sc. (Tech) from Aalto University, B.Tech (with distinction) from University of Kerala, and is also a graduate of the year-long executive management (LEAD) program from Stanford University's Graduate School of Business. He was with Nokia from 2014-2023 and is currently with Samsung based out of Mountain View, CA. He has coauthored over 40 peer reviewed scientific publications and has written a book on 5G "End-to-End Mobile Communications: Evolution to 5G," McGraw-Hill, Aug. 2020. He's also the co-inventor of over 90 patents.
Most Relevant Publications (2+)

75 total publications

Energy-Efficient D2D Discovery for Proximity Services in 3GPP LTE-Advanced Networks: ProSe Discovery Mechanisms

IEEE Vehicular Technology Magazine / Dec 01, 2014

Prasad, A., Kunz, A., Velev, G., Samdanis, K., & Song, J. (2014). Energy-Efficient D2D Discovery for Proximity Services in 3GPP LTE-Advanced Networks: ProSe Discovery Mechanisms. IEEE Vehicular Technology Magazine, 9(4), 40–50. https://doi.org/10.1109/mvt.2014.2360652

5G Radio Access Networks: Enabling Efficient Point-to-Multipoint Transmissions

IEEE Vehicular Technology Magazine / Dec 01, 2019

Saily, M., Barjau, C., Navratil, D., Prasad, A., Gomez-Barquero, D., & Tesema, F. B. (2019). 5G Radio Access Networks: Enabling Efficient Point-to-Multipoint Transmissions. IEEE Vehicular Technology Magazine, 14(4), 29–37. https://doi.org/10.1109/mvt.2019.2936657

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Irma Kuljanishvili

18 Years Experience
Post Doctoral Research Associate at Harvard University
Education

Michigan State University

PhD, Condensed matter physics, low temperature nanoscale physics, scanning probe microscopy and spectroscopy / December, 2005

East Lansing, Michigan, United States of America
Experience

Harvard University

Post Doctoral Research Associate / January, 2006 — January, 2007

Research and student mentoring

Northwestern University

Post Doctoral Research Fellow / January, 2007 — July, 2011

Research and student mentoring

Most Relevant Research Expertise
Automotive Engineering
Other Research Expertise (25)
Nanoscience
Nanomaterials
Condensed Matter Physics
Scanning Probe Miscroscopy
Nanofabrication and Nanolitography
And 20 more
About
Dr. Kuljanishvili is a highly educated physicist with a PhD in condensed matter physics, in low temperature nanoscale physics, focused on scanning probe microscopy and spectroscopy. She obtained her PhD from Michigan State University in 2005. After completing her doctoral studies, she worked as a Post Doctoral Research Associate at Harvard University till 2006 and later as a Post Doctoral Research Fellow at Northwestern University till 2011. During these positions, she conducted research on various topics related to condensed matter physics, nanoscience and nanotechnology, low dimensional materials physics and used variety of scanning probe microscopy and spectroscopy and nanolithography techniques in her research. Dr. Kuljanishvili has published numerous research papers in well-respected scientific journals and has presented her work at national and international conferences. She is highly skilled in experimental techniques and data analysis, and has a strong understanding of theoretical concepts in her field. In addition to her research experience, Irma has mentored numerous undergraduate and graduate students and taught courses in physics at the university level. She is dedicated to the advancement of science and technology and is constantly seeking opportunities to expand her knowledge and skills in her field.
Most Relevant Publications (1+)

43 total publications

Microstructural Features of 3D-Printed Alloy

Metal Powder Report / Feb 01, 2024

Microstructural Features of 3D-Printed Alloy. (2024). Metal Powder Report, 79(1). https://doi.org/10.12968/s0026-0657(24)70004-6

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Denys Dutykh

16 Years Experience
Professional Applied Mathematician, Modeller, and Advisor
Education

École Normale Supérieure Paris-Saclay

PhD, Centre de Mathématiques et de Leurs Applications / December, 2007

Cachan
Experience

Centre National de la Recherche Scientifique

Research scientist / October, 2008 — August, 2022

Professional scientific research in the field of Applied Mathematics

Khalifa University of Science and Technology

Associate Professor / August, 2022 — Present

Professional research and educational activities in the field of Applied Mathematics

Most Relevant Research Expertise
Automotive Engineering
Other Research Expertise (50)
Applied mathematics
fluid mechanics
scientific computing
numerical methods
Fluid Flow and Transfer Processes
And 45 more
About
Dr. Denys Dutykh initially comes from the broad field of Applied Mathematics. He did his Master's degree in numerical methods applied to the problems of Continuum Mechanics and a Ph.D. thesis at Ecole Normale Supérieure de Cachan (France) on the mathematical modeling of tsunami waves. After this, he was hired as a permanent research scientist at the Institute of Mathematics (INSMI) at the Centre National de la Recherche Scientifique (CNRS). His research activities have been conducted in the following years at the picturesque University Savoie Mont Blanc (USMB, France) in the field of mathematical methods applied to the modeling and simulation of nonlinear waves (mostly in Fluid Dynamics). The Habilitation thesis of Dr. Dutykh was defended there on the topic of the mathematical methods in the environment. Since then, his research interests have significantly broadened to include the Dimensionality Reduction methods in Machine Learning, modeling of PV panels, and even some more theoretical questions in the Number Theory.
Most Relevant Publications (1+)

186 total publications

An innovative method to determine optimum insulation thickness based on non-uniform adaptive moving grid

Journal of the Brazilian Society of Mechanical Sciences and Engineering / Mar 14, 2019

Gasparin, S., Berger, J., Dutykh, D., & Mendes, N. (2019). An innovative method to determine optimum insulation thickness based on non-uniform adaptive moving grid. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 41(4). https://doi.org/10.1007/s40430-019-1670-6

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Jamie Hughes, Ph.D.

11 Years Experience
Professor of Social Psychology at Fielding Graduate University
Education

New Mexico State University

Ph.D., Psychology / May, 2010

Las Cruces, New Mexico, United States of America
Experience

Fielding Graduate University

Professor / August, 2023 — Present

The University of Texas Permian Basin

Professor / August, 2012 — August, 2023

Research Expertise (1)
psychology
About
I am social psychologist with expertise in social perception, attribution, stereotyping and prejudice, psychology and the law, group behavior, quantitative research methods, and statistical analyses. I also conduct research on teaching effectiveness.
Most Relevant Publications (1+)

27 total publications

The automated cockpit: A comparison of attitudes towards human and automated pilots

Transportation Research Part F: Traffic Psychology and Behaviour / Sep 01, 2009

Hughes, J. S., Rice, S., Trafimow, D., & Clayton, K. (2009). The automated cockpit: A comparison of attitudes towards human and automated pilots. Transportation Research Part F: Traffic Psychology and Behaviour, 12(5), 428–439. https://doi.org/10.1016/j.trf.2009.08.004

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Jean Twenge

23 Years Experience
Researcher of generational differences and Professor of Psychology, San Diego State University
Education

University of Michigan

Ph.D., Psychology / May, 1998

Ann Arbor

University of Chicago

Sociology / June, 1993

Chicago
Experience

San Diego State University

Professor / August, 2001 — Present

Most Relevant Research Expertise
Automotive Engineering
Other Research Expertise (37)
generations
personality
social psychology
gender roles
Visual Arts and Performing Arts
And 32 more
About
Jean M. Twenge, Professor of Psychology at San Diego State University, is the author of more than 180 scientific publications and seven books, including *Generations*: *The Real Differences between Gen Z, Millennials, Gen X, Boomers and Silents—and What They Mean for America’s Future* and *iGen: Why Today's Super-Connected Kids Are Growing Up Less Rebellious, More Tolerant, Less Happy--and Completely Unprepared for Adulthood*. She holds a BA and MA from the University of Chicago and a Ph.D. from the University of Michigan. She writes the Generation Tech substack.
Most Relevant Publications (1+)

95 total publications

Increases in Depression, Self‐Harm, and Suicide Among U.S. Adolescents After 2012 and Links to Technology Use: Possible Mechanisms

Psychiatric Research and Clinical Practice / Jun 01, 2020

Twenge, J. M. (2020). Increases in Depression, Self‐Harm, and Suicide Among U.S. Adolescents After 2012 and Links to Technology Use: Possible Mechanisms. Psychiatric Research and Clinical Practice, 2(1), 19–25. Portico. https://doi.org/10.1176/appi.prcp.20190015

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Diego Bestel

7 Years Experience
Education

Colorado State University

Ph.D., Mechanical Engineering / June, 2022

Fort Collins, Colorado, United States of America
Experience

Argonne National Laboratory

Researcher / July, 2022 — Present

Groupe Renault

QA Analyst / 2015 — 2017

Noble Thermodynamic Systems

System Modeling Engineer / August, 2021 — April, 2022

Research Expertise (2)
Mechanical Engineering
Physical and Theoretical Chemistry
About
PhD. candidate at Colorado State University working at the Chemical Energy Conversion Laboratory. My research focus is on multidimensional modeling and control of End-Gas Autoignition (EGAI) in Spark Ignited Natural Gas engines. The goal of the research is to achieve Diesel-like efficiencies by using controlled end-gas autoignition. A Cooperative Fuel Research (CFR) engine and a 15-L Cummins engine have been used for this purpose having a mix of experimental, 1D, and 3D modeling work to study the fuel-engine interactions that lead to EGAI.

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Example Automotive Engineering projects

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

Electric Vehicle Battery Optimization

An academic researcher in Automotive Engineering can collaborate with a company to optimize the performance and efficiency of electric vehicle batteries. They can conduct research on battery materials, design, and management systems to enhance energy storage, extend battery life, and improve charging capabilities.

Autonomous Vehicle Navigation Systems

Collaborating with an academic researcher specializing in Automotive Engineering can help companies develop advanced navigation systems for autonomous vehicles. The researcher can contribute expertise in sensor technologies, data fusion, machine learning, and control systems to enhance the accuracy, reliability, and safety of autonomous vehicle navigation.

Vehicle Lightweighting and Material Selection

Working with an academic researcher in Automotive Engineering can assist companies in optimizing vehicle lightweighting strategies and material selection. The researcher can analyze different materials, such as composites and alloys, and provide recommendations for reducing vehicle weight while maintaining structural integrity and safety.

Emissions Reduction and Environmental Sustainability

An academic researcher in Automotive Engineering can collaborate with companies to develop innovative solutions for emissions reduction and environmental sustainability. They can conduct research on alternative fuels, hybrid powertrains, and emission control technologies to help companies meet regulatory requirements and achieve sustainability goals.

Advanced Driver Assistance Systems (ADAS)

Collaborating with an academic researcher specializing in Automotive Engineering can benefit companies in the development of advanced driver assistance systems (ADAS). The researcher can contribute expertise in sensor technologies, computer vision, and machine learning to enhance the performance and safety of ADAS features, such as adaptive cruise control and lane keeping assist.