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 Dr. Andrew Raij, Ph.D., Siddharth Maddali, David J. Hamilton, PhD, Nicolangelo Iannella, PhD.Heydy Castillejos, Edoardo Airoldi, Dr. Justin Whalley, Ph.D, Maurice O'Sullivan, Jeffrey Townsend, Dr. Andrea Corti, Ph.D., Junsoo Park, Hussein Al-Hussein, Krzysztof Wolk, Vivek Singh, Ehsan Barati, PhD, and Denys Dutykh.

Dr. Andrew Raij, Ph.D.

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

David J. Hamilton, PhD

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

Dr. Justin Whalley, Ph.D

North Chicago, Illinois, United States of America
Assistant Professor of Bioinformatics, with experience in finding the quintessential features in large, multi-layered 'omic datasets.
Most Relevant Research Expertise
Modeling and Simulation
Other Research Expertise (19)
Tensor decomposition
And 14 more
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]( 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]( in January 2023.

See Full Profile

Maurice O'Sullivan

University College Cork, School of Food and Nutritional Sciences
Most Relevant Research Expertise
Modeling and Simulation
Other Research Expertise (34)
Food Science
And 29 more
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

Krzysztof Wolk

Most Relevant Research Expertise
Modeling and Simulation
Other Research Expertise (28)
Machine Learning
Control and Systems Engineering
And 23 more
I hold a PhD Eng. degree in computer science. I am a graduate of the Polish-Japanese Academy of Information Technology in Warsaw, POLAND. Currently, I am associate professor at the Cathedral of Multimedia at the same university. I lead and conduct scientific projects and research related to natural language processing and machine learning based on statistical methods and neural networks. I eagerly take up IT challenges and engage in interesting interdisciplinary projects, in particular related to HCI, UX, medicine, and psychology. In addition, as my profession, I have worked as a lecturer at the Warsaw School of Photography, and as an IT trainer. My specialties as a teacher are primarily deep learning, machine learning, natural language processing, computational linguistics, multimedia, HCI, UX, mobile applications, HTML 5, Adobe applications, and server products from Apple and Microsoft. As far as my didactic work is concerned, I lead classroom studies at the faculty of computer science and at the new media art department of the Polish-Japanese Academy of Information Technology and, in the past, I have also directed classes and lectures at the Warsaw School of Photography & Graphic Design. I am also an expert at the Polish National Agency for Academic Exchange, a member of the Polish Information Processing Society, and a member of the Polish Telemedicine and eHealth Society with Bene Meritus honor. Finally, I am a certified Microsoft, Apple, Adobe, w3schools, and EITCA specialist as well as being the Author of many scientific monographs and specialized IT books related to machine learning, administration of servers, and multimedia. I also engage as an editor of various specialized IT web portals such as,, and where I am author of training materials, guides, and hardware reviews. Some of my articles have also been published in iCoder Magazine and Komputer Świat magazine.

See Full Profile

Vivek Singh

Rutgers Professor, MIT alum, CS PhD, AI expert
Most Relevant Research Expertise
Modeling and Simulation
Other Research Expertise (25)
Human-centered Data Science
Human-centered AI
Computational Social Science
Behavioral Informatics
Algorithmic Fairness
And 20 more
Vivek Singh is a highly accomplished computer scientist and researcher. He earned his Ph.D. in Information and Computer Science from the University of California Irvine in 2012. During his time at UC Irvine, he focused on research in the areas of natural language processing and machine learning. After completing his Ph.D., Singh joined Massachusetts Institute of Technology as a post-doctoral associate, where he worked on developing algorithms for large-scale data analysis and information retrieval. In 2014, Singh joined Rutgers University as a faculty member in Information Science and Computer Science. As a faculty member at Rutgers, he has published numerous papers in top computer science journals and conferences and has received several grants for his research. Singh's research interests include natural language processing, generative AI, and social computing. He has a particular interest in developing algorithms for analyzing large datasets and extracting valuable insights from them. His work has been applied to various domains, including social media, healthcare, and finance. He has multiple patents, and has experience consulting with early and late-stage (unicorn) startups. His work has led to multiple grants, awards, funding, patents, and deployed products.

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.