Work with thought leaders and academic experts in Modeling and Simulation

Companies can greatly benefit from working with Modeling and Simulation experts. These experts have the knowledge and skills to develop advanced models and simulations that can help companies optimize their processes, improve decision-making, and solve complex problems. By collaborating with an academic researcher in this field, companies can gain access to cutting-edge technology, innovative ideas, and data-driven insights. They can also leverage the expertise of these researchers to develop customized solutions, conduct scenario analysis, and predict outcomes. Furthermore, working with Modeling and Simulation experts can lead to cost savings, increased efficiency, and improved competitiveness in the market.

Researchers on NotedSource with backgrounds in Modeling and Simulation include PhD.Heydy Castillejos, Dr. Andrew Raij, Ph.D., Siddharth Maddali, David J. Hamilton, PhD, Nicolangelo Iannella, Hector Klie, Edoardo Airoldi, Dr. Justin Whalley, Ph.D, Jeffrey Townsend, Maurice O'Sullivan, and Dr. Andrea Corti, Ph.D..

Dr. Andrew Raij, Ph.D.

Orlando, Florida, United States of America
20 Years Experience
Principal Research Scientist and Lab Director | VR, AR, MR, XR, Spatial Computing, Immersive Technologies
Education

University of Florida

Ph.D., Dept. of Computer & Info. Science & Engineering / May, 2009

Gainesville, Florida, United States of America

University of North Carolina at Chapel Hill

M.S., Computer Science / December, 2003

Chapel Hill, North Carolina, United States of America

Northwestern University

B.S., Computer Science / June, 2001

Evanston, Illinois, United States of America
Experience

Draper Laboratory

Principal Member of Technical Staff / January, 2021Present

Universal Studios / NBCUniversal

Technical Program Manager / December, 2016November, 2020

University of Central Florida

Research Associate Professor / March, 2015September, 2016

Most Relevant Research Expertise
Modeling and Simulation
Other Research Expertise (14)
Human-Computer Interaction
Virtual Reality
Augmented Reality
Human Factors and Ergonomics
Artificial Intelligence
And 9 more
About
Dr. Andrew Raij, Ph.D. is a principal researcher at the Charles Stark Draper Laboratory, where he leads research on human-centered computing and virtual / augmented / mixed reality. For over 20 years, Dr. Raij has been helping companies unlock the transformative power of immersive technologies through **rigorous user research, strategic guidance, and creative problem-solving**. With a deep understanding of human behavior in immersive environments, he bridges the gap between cutting-edge technology and real-world needs. His career began in academia, where he was an Assistant Professor and Director of the Powerful Interactive Experiences (PIE) Lab at the University of South Florida. Later, he joined Universal Creative, where he applied his expertise to the challenge of using immersive, wearable technologies in the theme park environment. At Draper Labs, his research focuses on applying immersive technologies to training and situational awareness. Dr. Raij earned his Ph.D. in the Department of Computer & Information Science & Engineering from the University of Florida in 2009. Prior to this, he completed his M.S. in Computer Science at the University of North Carolina at Chapel Hill in 2003 and his B.S. in Computer Science at Northwestern University in 2001.

See Full Profile

Siddharth Maddali

Fremont, California, United States of America
8 Years Experience
Computational physicist with a specialization in X-ray and optical imaging and microscopy for condensed matter and materials systems.
Education

Carnegie Mellon University

PhD, Physics / May, 2016

Pittsburgh, Pennsylvania, United States of America

Carnegie Mellon University

MS, Physics / May, 2011

Pittsburgh, Pennsylvania, United States of America

Indian Institute of Technology Madras

M.Sc, Physics / May, 2009

Chennai
Experience

KLA (United States)

Research Scientist / November, 2022Present

Sensitivity enhancement of optical inspection of semiconductor wafers

Argonne National Laboratory

Staff Scientist / October, 2019September, 2022

(1) Imaging: Inverse problems for 3D nanoscale materials imaging using coherent X-ray probes. (2) Time-resolved studies: Signal processing methods for XPCS at free electron laser facilities. (3) Experiments: POCs & demonstrations for the above at APS/future APS-U instruments. (4) Fundraising: Research grants (LDRD, DoE), APS, ESRF user-time proposals. (5) Dissemination/Outreach: Publications, peer review, editorship, conferences, tech reports. (6) Mentoring/Organization: Postdocs, students (unofficial), workshop planning/chairing.

Post-doctoral researcher / January, 2017September, 2019

National Energy Technology Laboratory

Postdoctoral Fellow / May, 2016November, 2016

Machine learning -driven materials discovery of steel alloys for optimized power plant components

Most Relevant Research Expertise
Modeling and Simulation
Other Research Expertise (22)
Computational microscopy
Fourier/physical optics
signal processing
physics
HPC
And 17 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>

See Full Profile

David J. Hamilton, PhD

Fairfax, Virginia, United States of America
47 Years Experience
PhD Neuroscience focused on computational modeling of biologically plausible neuronal circuits.
Education

George Mason University

Ph.D., Neuroscience / 2016

Fairfax, Virginia, United States of America

Loyola University Maryland

MS, EE / June, 1981

Baltimore, Maryland, United States of America

Penn State

BS, EE / June, 1977

State College, Pennsylvania, United States of America
Experience

George Mason University

Affiliate Faculty / October, 2023Present

Neuroscience

Intelligent Mission Consulting Services (IMCS)

Neuroscientist / July, 2020December, 2023

AI/ML Subject Matter Expert

Northrop Grumman

Neuroscience Software Engineer / July, 2004July, 2020

AI/ML Software Engineer

Most Relevant Research Expertise
Modeling and Simulation
Other Research Expertise (6)
Cognitive Neuroscience
Biomedical Engineering
Artificial Intelligence
Cellular and Molecular Neuroscience
Modeling and Simulation
And 1 more
About
David J. Hamilton, PhD Neuroscience, GMU, 2016. His current research focus is Efficient Generative AI leveraging biologically plausible computational circuits and spiking neural networks to implement transformer-based algorithms. Dr. Hamilton has extensive R&D experience in Generative AI and Machine Learning capability development. Specific projects include transformer-based LLM sensor parameter tuning, analytic prediction, Cyber Threat Analysis Platform R&D, US Treasury cyber defense, credit card fraud detection, sensor fusion/analysis, LIDAR signal characterization, and active/passive sonar signal detection/classification. Companies for which David has worked include Intelligent Mission Consulting Services (2020-2023), Northrop Grumman (2004-2020), NeuralTech/CardSystems (1994-2004), Raytheon (1980-1994), and AAI (1977-1980). Earlier in his career, David received his MSEE (1981) from Loyola University, Maryland, and his BSEE (1977) from PSU. He is well published, holds memberships in Society for Neuroscience (SfN), AAAS, IEEE, and continues to maintain his association with GMU as an Affiliate Faculty.

See Full Profile

Nicolangelo Iannella

Oslo
6 Years Experience
Senior Research fellow, The University of Oslo, Faculty of Mathematics and Natural Sciences
Education

University of Adelaide

Graduate Certificate in Education (Higher Education) , School of Electrical & Electronic engineering / December, 2012

Adelaide, South Australia, Australia

Denki Tsushin Daigaku

PhD (Eng), Information and Communications Engineering / March, 2009

Chofu
Experience

University of Oslo

Postdoctoral Fellow / July, 2018Present

Most Relevant Research Expertise
Modeling and Simulation
Other Research Expertise (19)
Neuromorphic circuits
Neural networks, Neural learning and applications
Theoretical and Mathematical neuroscience
Computational neuroscience
Artificial Intelligence
And 14 more
About
Following pre-doctoral studies in Mathematics and Theoretical Physics, I received a PhD in Computational Neuroscience from the University of Electro-Communications, Japan in 2009. From 2009, I was a Postdoctoral Researcher in RIKEN BSI. In 2010, I won the prestigious Australian Research Council (ARC) Australian Postdoctoral Award (APD) fellowship, based at the University of Adelaide from 2010–2014. In 2012 he completed a Graduate Certificate in Education (Higher Education) (GCEHE) from the University of Adelaide. From 2014–2017 he was an adjunct research fellow at the University of South Australia. From 2016–2018, he was a Cascade (Marie Curie) Research Fellow in Mathematical Sciences at the University of Nottingham. From 2018- a research fellow at the University of Oslo. His research interests include AI, Artificial and spiking neural networks and learning algorithms, synaptic plasticity, neuronal dynamics, and neuromorphic engineering. Dr. Iannella is a member of SFN and a Senior member of the IEEE.

See Full Profile

Hector Klie

Houston, Texas, United States of America
21 Years Experience
CEO @ DeepCast.ai | AI-driven Industrial Solutions, Technical Innovation
Education

Ph.D., Computational Science and Engineering / May, 1997

Houston, Texas, United States of America

Master of Arts, Computational and Applied Mathematics / May, 1995

Houston

Simón Bolívar University

Master of Science, Computer Science / May, 1991

Caracas
Experience

DeepCast, LLC

CEO / May, 2017Present

ConocoPhillips Company

Staff Data Scientist / March, 2008April, 2016

Sanchez Oil and Gas

Director of Enterprise Data Solutions / March, 2016March, 2017

Design corporate data science platform, lead R&D in machine learning and AI to generate highly predictive models for field applications

Most Relevant Research Expertise
Modeling and Simulation
Other Research Expertise (24)
Artificial Intelligence
Machine Learning
Data Science
optimization
Computational Theory and Mathematics
And 19 more
About
**Results-driven AI leader with 20+ years of success spearheading model development and optimization initiatives in the energy industry and academia. Proven track record in leveraging computational data science, scientific machine learning, and AI to drive breakthrough physics-data solutions and deliver tangible business value. Adept at translating complex scientific concepts into robust AI models. Skilled in numerical simulation, scientific machine learning, and bilingual communication to optimize project outcomes.**

See Full Profile

Dr. Justin Whalley, Ph.D

North Chicago, Illinois, United States of America
9 Years Experience
Assistant Professor of Bioinformatics, with experience in finding the quintessential features in large, multi-layered 'omic datasets.
Education

Université d'Évry Val-d'Essonne

Ph.D., Bioinformatics / May, 2015

Évry

University of Bristol

M.Sci., Mathematics / June, 2008

Bristol
Experience

University of Oxford

Senior Bioinformatician / 20172022

Rosalind Franklin University of Medicine and Science Chicago Medical School

Assistant Professor of Bioinformatics / 2023Present

CNAG

Postdoctoral Researcher / 20142017

Most Relevant Research Expertise
Modeling and Simulation
Other Research Expertise (19)
Genomics
Bioinformatics
Immunity
Tensor decomposition
Cancer
And 14 more
About
Dr. Justin P. Whalley was educated in the UK (M.Sci. Mathematics, University of Bristol) and France (Ph.D. Bioinformatics, University of Évry). He moved to Spain to work as a postdoc at the National Center for Genomic Analysis (CNAG). During his time there, he ran the Quality Control working group for the Pan-Cancer Analysis of Whole Genomes project to assess the data coming in and reduce batch effects. This involved collaboration with researchers from the Broad Institute of MIT and Harvard, the German Cancer Research Center and the Wellcome Sanger Institute in the UK. He returned to the UK to work as a [Senior Bioinformatician at the University of Oxford](https://www.well.ox.ac.uk/people/jpw/). His time there coincided with the global pandemic and he was deeply involved in the COvid-19 Multi-omics Blood ATlas (COMBAT) consortium as the lead for the Integration (Tensor) working group. Dr. Whalley became a member of the [faculty of the Chicago Medical School at Rosalind Franklin University of Medicine and Science](https://www.rosalindfranklin.edu/academics/faculty/justin-p-whalley/) in January 2023.

See Full Profile

Maurice O'Sullivan

Cork
29 Years Experience
University College Cork, School of Food and Nutritional Sciences
Education

Sensory and Consumer Science / March, 2002

Copenhagen
Experience

Univsersity College Cork

Most Relevant Research Expertise
Modeling and Simulation
Other Research Expertise (34)
sensory
meat
dairy
consumer
Food Science
And 29 more
About
Dr. Maurice O’ Sullivan is a sensory scientist and senior lecturer in food science working in the School of Food and Nutritional Sciences, UCC. In the past Maurice has worked in the food industry as a sensory scientist and flavour chemist for Diageo Baileys and Guinness. He has worked as a food technologist and process/product development scientist for the processed foods sector in the 1990’s as well as more recently a product development consultant to the dairy, meat and beverage industries. He has a Ph.D. in Sensory and Consumer science from the Department of Food Science, University of Copenhagen, Denmark as well as MSc. and BSc. Degrees in Food Science and Technology from University College Cork (UCC). Currently Maurice works in the School of Food and Nutritional Sciences, University College Cork as a senior lecturer and sensory and product reformulation project coordinator on large scale multi-million euro research projects. For many years he has also managed the “Sensory Unit” at UCC working on sensory and flavour based projects involving a diverse selection of products. This sensory science based service (at UCC) includes testing the difference, affective and descriptive analysis of foods and beverages as well as assessing shelf-life and comparing sensory results to microbiological and analytical (instrumental, physic-chemical) data using multivariate data analysis (MVA). Sensory testing is critical for new product development/optimisation, ingredient substitution and devising appropriate packaging and comparing foods or beverages to competitor’s products. Again, the key to unlocking the hidden secrets of this multimodal data is with MVA (Multivariate Data Analysis). To date Maurice has secured significant research funding of €5,300,000 Gross, €3,843,329.30 to UCC. He has worked in the area of targeted ingredient (salt, fat, sugar) reduction in foods since 1997. The focus of this research has been reduction of negative ingredients linked to civilisation diseases (Diabetes, Obesity, Heart Disease, Anaemia) while maintaining sensory properties, but also improving nutritional quality of developed products. To date this research has produced numerous publications with many more in development. Other research areas include Cross Cultural Sensory Perception of Irish Dairy Products in Asia, Europe and North America as well as Foods for the Elderly, Packaging and Meat optimisation. Maurice has published more than 200 sensory or consumer research based articles (papers, book chapters, proceedings etc.).

See Full Profile

Dr. Andrea Corti, Ph.D.

New York, New York, United States of America
6 Years Experience
Ph.D. in Biomedical Engineering with a focus on cardiovascular biomechanics using numerical simulations, material analysis and micro-computed tomography imaging
Education

The City College of New York Department of Biomedical Engineering

PhD / December, 2022

New York, New York, United States of America

Rijksuniversiteit Groningen

Master of Science, Biomedical Engineering

Groningen

Politecnico di Milano

Bachelor of Science, Biomedical Engineering

Milano
Experience

The City College of New York

Graduate Researcher / September, 2018January, 2023

The City College of New York Department of Biomedical Engineering

Graudate Teaching Assistant in Dynamical Systems and Modeling / August, 2022December, 2022

Graduate Teaching Assistant in Dynamical Systems and Modeling / August, 2021December, 2021

Graduate Student Instructor in Cell and Tissue Mechanics / February, 2021May, 2021

Graduate Teaching Assistant in Cell and Tissue Transport / August, 2019December, 2019

Philips Consumer Lifestyle BV

Internship / April, 2017July, 2017

Most Relevant Research Expertise
Modeling and Simulation
Other Research Expertise (16)
Atherosclerosis
Vascular Biomechanics
Modeling and Simulation
Material Characterization
Image Analysis
And 11 more
About
Dr. Andrea Corti holds a PhD in Biomedical Engineering from The City College of New York. His research interests include tissue mechanics, cellular transport, and biomechanics. He received his BS and MS in biomedical engineering with a specialization in Prosthesis and Implant Design from the Politecnico di Milano and the University of Groningen, respectively. He has experience working in both industry and academia, and has been a teaching assistant for several courses in his department.

See Full Profile

Example Modeling and Simulation projects

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

Optimizing Supply Chain Operations

A company in the manufacturing industry can collaborate with a Modeling and Simulation expert to optimize their supply chain operations. The expert can develop a simulation model that considers various factors such as demand variability, transportation costs, and inventory levels. By running simulations, the company can identify bottlenecks, optimize inventory levels, and improve overall supply chain efficiency.

Predicting Customer Behavior

A company in the retail industry can benefit from collaborating with a Modeling and Simulation expert to predict customer behavior. The expert can develop a predictive model that takes into account various factors such as customer demographics, purchase history, and market trends. By analyzing the data and running simulations, the company can gain insights into customer preferences, optimize marketing strategies, and improve customer satisfaction.

Simulating Manufacturing Processes

A company in the automotive industry can work with a Modeling and Simulation expert to simulate their manufacturing processes. The expert can develop a virtual model that replicates the production line and considers factors such as machine capacity, production rates, and material flow. By simulating different scenarios, the company can identify process inefficiencies, optimize production schedules, and reduce costs.

Optimizing Energy Systems

A company in the energy sector can collaborate with a Modeling and Simulation expert to optimize their energy systems. The expert can develop a simulation model that considers factors such as energy demand, renewable energy sources, and storage capacity. By running simulations, the company can identify the most efficient energy mix, optimize energy generation and distribution, and reduce carbon emissions.

Improving Healthcare Delivery

A healthcare organization can benefit from collaborating with a Modeling and Simulation expert to improve healthcare delivery. The expert can develop a simulation model that considers factors such as patient flow, resource allocation, and scheduling. By simulating different scenarios, the organization can identify bottlenecks, optimize resource allocation, and improve patient outcomes.