Work with thought leaders and academic experts in artificial intelligence

Companies can benefit from working with experts in Artificial Intelligence in various ways. These researchers can help develop and implement AI solutions to improve efficiency, automate processes, and enhance decision-making. They can also assist in data analysis and predictive modeling to identify patterns and trends. Additionally, AI researchers can provide insights and recommendations for optimizing business strategies and customer experiences. By collaborating with these experts, companies can gain a competitive edge, drive innovation, and achieve their business goals.

Researchers on NotedSource with backgrounds in artificial intelligence include Keiran Thompson, Dr. Charles Lassiter, Ph.D., Christos Makridis, Tyler Streeter, Dr. Wolfgang Messner, Ping Luo, Professor(Dr) Sanjay Rout, Dr. Pantaleon Fassbender, IQRAM HUSSAIN, Ph.D., Dr. KEHINDE ADEWALE ADESINA, Ph.D, Ryan Howell, Suhas Chelian, and Vladimir Shapiro, Ph.D..

Christos Makridis

Nashville, TN
Web3 and Labor Economist in Academia, Entrepreneurship, and Policy
Research Interests (16)
Finance
Economics and Econometrics
Accounting
Pharmacology (medical)
Law
And 11 more
About
Christos A. Makridis holds academic appointments at Columbia Business School, Stanford University, Baylor University, University of Nicosia, and Arizona State University. He is also an adjunct scholar at the Manhattan Institute, senior adviser at Gallup, and senior adviser at the National AI Institute in the Department of Veterans Affairs. Christos is the CEO/co-founder of [Dainamic](https://www.dainamic.ai/), a technology startup working to democratize the use and application of data science and AI techniques for small and mid sized organizations, and CTO/co-founder of [Living Opera](https://www.livingopera.org/), a web3 startup working to bridge classical music and blockchain technologies. Christos previously served on the White House Council of Economic Advisers managing the cybersecurity, technology, and space activities, as a Non-resident Fellow at the Cyber Security Project in the Harvard Kennedy School of Government, as a Digital Fellow at the Initiative at the Digital Economy in the MIT Sloan School of Management, a a Non-resident Research Scientist at Datacamp, and as a Visiting Fellow at the Foundation for Defense of Democracies. Christos’ primary academic research focuses on labor economics, the digital economy, and personal finance and well-being. He has published over 70 peer-reviewed research papers in academic journals and over 170 news articles in the press. Christos earned a Bachelor’s in Economics and Minor in Mathematics at Arizona State University, as well a dual Masters and PhDs in Economics and Management Science & Engineering at Stanford University.

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Dr. Wolfgang Messner

Columbia, SC
Professor in International Business with expertise in Data Analytics and Machine Learning
Most Relevant Research Interests
Artificial Intelligence
Other Research Interests (18)
International Business
International Marketing
International Management
Strategy and Management
Transportation
And 13 more
About
Results-oriented and internationally experienced project manager, consultant, and researcher with a passion for leveraging machine learning and advanced statistical techniques to solve intricate challenges in international marketing and consumer behavior. Demonstrated track record of driving strategic initiatives, cultivating cross-border partnerships, and delivering tangible impacts on revenue generation. Highly adaptable to rapidly evolving technologies and market trends. Aiming to apply my expertise to lead transformative projects and elevate organizational success on a global scale. **Research and publication overview** · Authored 36 peer-reviewed journal publications (data analytics, international business, marketing) · Authored and edited 8 business books, published by *Palgrave Macmillan* and *Springer* · Published 5 teaching cases with *SAGE* and *Ivey* · Research impact (Google Scholar): h-index of 17 with 1,000+ citations **Competences in data analysis (selected)** · Supervised: Neural networks, deep learning · Unsupervised: Kohonen self-organizing maps · Frequentist and Bayesian regression analysis · Multilevel (hierarchical) modeling · Exploratory and confirmatory factor analysis · fs/QCA \| HLM \| SPSS \| JASP \| Python\, incl\. Keras\, Dalex
Most Relevant Publications (1+)

65 total publications

Improving the cross-cultural functioning of deep artificial neural networks through machine enculturation

International Journal of Information Management Data Insights / Nov 01, 2022

Messner, W. (2022). Improving the cross-cultural functioning of deep artificial neural networks through machine enculturation. International Journal of Information Management Data Insights, 2(2), 100118. https://doi.org/10.1016/j.jjimei.2022.100118

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Professor(Dr) Sanjay Rout

Delhi
Industry Expert Dr. Sanjay - Former Honorary Chancellor, Leading Chair Professor and Advisory Consultant for Research and Development Forums.
Most Relevant Research Interests
Artificial Intelligence
Other Research Interests (14)
HealthScience
Technology
Management
Law
Journalism
And 9 more
About
Dr. Sanjay Rout is an experienced professor and business professional with a diverse educational background. He holds a Ph.D in Management from Magadh University, as well as a PGDSCM in Management from the Institute of management technology. In addition, he has also completed a LLB in Law and an MBA in Management. Dr. Rout's expertise lies in the field of Business Analytics, which he studied at The Wharton Business School. He has also gained valuable experience through his various roles in the business world, including serving as the Chancellor at Mahavideha University, CEO at Innovation Solution Lab, and COO at ISL PUBLICATIONS. Dr. Rout is also involved in various organizations and serves on the Board of Directors at Spiritual Data. He has also worked as a consultant for companies such as NISG, Ernst and Young LLP, Pwc and Sutra PMU, and CAEMAS. With his extensive education and experience, Dr. Sanjay Rout is a highly knowledgeable and respected professor in the field of Business Analytics.
Most Relevant Publications (1+)

33 total publications

The Application of Interactive Humanoid Robots in the History Education of Museums Under Artificial Intelligence

International Journal of Humanoid Robotics / Nov 21, 2022

Yang, K., & Wang, H. (2022). The Application of Interactive Humanoid Robots in the History Education of Museums Under Artificial Intelligence. International Journal of Humanoid Robotics, 20(06). https://doi.org/10.1142/s0219843622500165

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Dr. Pantaleon Fassbender

Gainesville, Florida, United States of America
Highly experienced global leadership and corporate health management advisor
Most Relevant Research Interests
Artificial Intelligence
Other Research Interests (7)
Applied Psychology
Communication
Experimental and Cognitive Psychology
Human-Computer Interaction
Philosophy
And 2 more
About
With over 25 years of experience in corporate health management, talent management, and crisis management consulting, I am passionate about helping leaders and organizations overcome challenges and achieve their goals. As a Managing Director at Twisters Management Consulting LLC, I leverage my expertise in evidence-based management, applied psychology, data storytelling, and analytical skills to provide innovative and effective solutions for my clients. One of my unique offerings is horse-assisted coaching, which is a powerful and experiential method to enhance personal and professional development. By working with a horse and a coach on the ground, clients can gain insights into their body language, communication style, emotional intelligence, and leadership presence. I also specialize in personality assessment-at-a-distance, which is a valuable tool for due diligence, ghost negotiation, fraud investigation, and other high-stakes situations. Additionally, I have a strong background in investigative psychology and forensics, which enables me to apply behavioral analysis and profiling techniques to various security contexts.
Most Relevant Publications (1+)

6 total publications

Application of artificial intelligence: risk perception and trust in the work context with different impact levels and task types

AI & SOCIETY / Jun 02, 2023

Klein, U., Depping, J., Wohlfahrt, L., & Fassbender, P. (2023). Application of artificial intelligence: risk perception and trust in the work context with different impact levels and task types. AI & SOCIETY. https://doi.org/10.1007/s00146-023-01699-w

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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 Interests
Artificial Intelligence
Other Research Interests (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 (1+)

44 total publications

Tracking Trajectory Planning of Space Manipulator for Capturing Operation

International Journal of Advanced Robotic Systems / Sep 01, 2006

Huang, P., Xu, Y., & Liang, B. (2006). Tracking Trajectory Planning of Space Manipulator for Capturing Operation. International Journal of Advanced Robotic Systems, 3(3), 31. https://doi.org/10.5772/5735

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Dr. KEHINDE ADEWALE ADESINA, Ph.D

Harlow
Assistant Professor in engineering (food, industrial and process) with quantitative and qualitative research in food processing, safefy, efficiency management, optimization and data analysis
Most Relevant Research Interests
Artificial Intelligence
Other Research Interests (18)
Software
Management Science and Operations Research
Safety, Risk, Reliability and Quality
Information Systems
Computational Mathematics
And 13 more
About
Dr. KEHINDE ADEWALE ADESINA, Ph.D is a highly educated and experienced individual in the field of Industrial Engineering, Process, and Food Engineering. He obtained his PhD in Industrial Engineering from Eastern Mediterranean University in 2018, where he focused on research related to optimization and process improvement in manufacturing industries. Prior to his PhD, Dr. Adesina completed his Master's degree in Chemical Engineering from Obafemi Awolowo University in 2011 and his Bachelor's degree in Chemical Engineering from Ladoke Akintola University of Technology in 2003. Dr. Adesina has also gained valuable teaching experience as an Assistant Professor at Near East University Nicosia/KKTC and as a Lecturer at Rufus Giwa Polytechnic. He has taught a variety of courses related to industrial engineering, food engineering, chemical engineering, and research methodology. In addition to his teaching experience, Dr. Adesina has also worked as a Research Assistant at Eastern Mediterranean University, where he conducted research on various industrial engineering topics. Through his education and experience, Dr. Adesina has developed a strong understanding of industrial engineering principles and techniques, as well as a passion for research and teaching. He continues to contribute to the field through his academic work and is dedicated to helping students and industries improve their processes and operations.
Most Relevant Publications (4+)

27 total publications

An improved lasso regression model for evaluating the efficiency of intervention actions in a system reliability analysis

Neural Computing and Applications / Jan 02, 2021

Yazdi, M., Golilarz, N. A., Nedjati, A., & Adesina, K. A. (2021). An improved lasso regression model for evaluating the efficiency of intervention actions in a system reliability analysis. Neural Computing and Applications, 33(13), 7913–7928. https://doi.org/10.1007/s00521-020-05537-8

Supportive emergency decision-making model towards sustainable development with fuzzy expert system

Neural Computing and Applications / Jun 22, 2021

Li, H., Guo, J.-Y., Yazdi, M., Nedjati, A., & Adesina, K. A. (2021). Supportive emergency decision-making model towards sustainable development with fuzzy expert system. Neural Computing and Applications, 33(22), 15619–15637. https://doi.org/10.1007/s00521-021-06183-4

A fuzzy rough copula Bayesian network model for solving complex hospital service quality assessment

Complex & Intelligent Systems / Mar 24, 2023

Li, H., Yazdi, M., Huang, H.-Z., Huang, C.-G., Peng, W., Nedjati, A., & Adesina, K. A. (2023). A fuzzy rough copula Bayesian network model for solving complex hospital service quality assessment. Complex & Intelligent Systems, 9(5), 5527–5553. https://doi.org/10.1007/s40747-023-01002-w

Probabilistic Risk Analysis of Process Systems Considering Epistemic and Aleatory Uncertainties: A Comparison Study

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems / Apr 01, 2021

Yazdi, M., Golilarz, N. A., Adesina, K. A., & Nedjati, A. (2021). Probabilistic Risk Analysis of Process Systems Considering Epistemic and Aleatory Uncertainties: A Comparison Study. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 29(02), 181–207. https://doi.org/10.1142/s0218488521500098

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Suhas Chelian

Lead in machine learning, neuroscience
Most Relevant Research Interests
Artificial Intelligence
Other Research Interests (5)
machine learning
computer vision
neuroscience
Cognitive Neuroscience
Experimental and Cognitive Psychology
About
Team lead in machine learning, neuroscience. <br> I have captured and executed projects for DARPA, NASA, and several international clients (GM, Toyota, Fujitsu). \* 12 projects transitioned--$10M revenue captured (31+ publications, 32+ patents) \* 9 awards including those from NASA, GM, and HRL Laboratories \* I also have startup, contracting and consulting experience \* US citizen (authorized to work) <br> Last updated: Aug 30, 2023
Most Relevant Publications (5+)

18 total publications

Executive control of cognitive agents using a biologically inspired model architecture of the prefrontal cortex

Biologically Inspired Cognitive Architectures / Oct 01, 2012

Srinivasa, N., & Chelian, S. E. (2012). Executive control of cognitive agents using a biologically inspired model architecture of the prefrontal cortex. Biologically Inspired Cognitive Architectures, 2, 13–24. https://doi.org/10.1016/j.bica.2012.07.001

Application of a neural network model of prefrontal cortex to emulate human probability matching behavior

Biologically Inspired Cognitive Architectures / Oct 01, 2014

Chelian, S. E., Uhlenbrock, R. M., Herd, S., & Bhattacharyya, R. (2014). Application of a neural network model of prefrontal cortex to emulate human probability matching behavior. Biologically Inspired Cognitive Architectures, 10, 10–16. https://doi.org/10.1016/j.bica.2014.11.002

Forensic foraging of change detection in opponent strategies with a neural model of the interactions between temporal and prefrontal cortex

Biologically Inspired Cognitive Architectures / Oct 01, 2014

Phillips, M. E., Chelian, S. E., Pirolli, P., & Bhattacharyya, R. (2014). Forensic foraging of change detection in opponent strategies with a neural model of the interactions between temporal and prefrontal cortex. Biologically Inspired Cognitive Architectures, 10, 17–23. https://doi.org/10.1016/j.bica.2014.11.003

DISCOV (DImensionless Shunting COlor Vision): A neural model for spatial data analysis

Neural Networks / Jan 01, 2013

Carpenter, G. A., & Chelian, S. E. (2013). DISCOV (DImensionless Shunting COlor Vision): A neural model for spatial data analysis. Neural Networks, 37, 93–102. https://doi.org/10.1016/j.neunet.2012.08.012

A model of proactive and reactive cognitive control with anterior cingulate cortex and the neuromodulatory system

Biologically Inspired Cognitive Architectures / Oct 01, 2014

Ziegler, M. D., Chelian, S. E., Benvenuto, J., Krichmar, J. L., O’Reilly, R., & Bhattacharyya, R. (2014). A model of proactive and reactive cognitive control with anterior cingulate cortex and the neuromodulatory system. Biologically Inspired Cognitive Architectures, 10, 61–67. https://doi.org/10.1016/j.bica.2014.11.008

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Vladimir Shapiro, Ph.D.

Boston, Massachusetts, United States of America
PRINCIPAL AI/COMPUTER VISION DATA SCIENTIST; EXPERIENCED SOFTWARE (PYTHON, C/C++, R) DEVELOPER; ADJUNCT UNIVERSITY PROFESSOR
Most Relevant Research Interests
Artificial Intelligence
Other Research Interests (14)
Computer Vision and Pattern Recognition
Hardware and Architecture
Computer Science Applications
Software
Signal Processing
And 9 more
About
• Expertise in image and video processing, machine vision, machine learning, digital signal processing, deep learning and pattern recognition algorithm development. • Expertise of production quality C/C++, Python language implementation including for real-time and multiple including embedded platforms. • Experience of working for start-ups and global companies. • Over 50 scientific publications and patents. Specialties: AI, image/video processing, computer vision, machine vision, deep learning, pattern recognition, machine learning, data science, software engineering, embedded software, real-time systems, motor control, Python, C/C++, R and MATLAB programming, software development, object oriented, Linux, Windows, algorithms, Agile development.
Most Relevant Publications (2+)

38 total publications

Handwritten document image segmentation and analysis

Pattern Recognition Letters / Jan 01, 1993

Shapiro, V., Gluhchev, G., & Sgurev, V. (1993). Handwritten document image segmentation and analysis. Pattern Recognition Letters, 14(1), 71–78. https://doi.org/10.1016/0167-8655(93)90134-y

On the hough transform of multi-level pictures

Pattern Recognition / Apr 01, 1996

A. Shapiro, V. (1996). On the hough transform of multi-level pictures. Pattern Recognition, 29(4), 589–602. https://doi.org/10.1016/0031-3203(95)00116-6

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Example artificial intelligence projects

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

AI-powered Customer Service Chatbot

An AI researcher can develop a chatbot that uses natural language processing and machine learning algorithms to provide personalized customer support. This chatbot can handle customer inquiries, resolve issues, and even make product recommendations, improving customer satisfaction and reducing the workload of customer service teams.

Automated Fraud Detection System

By collaborating with an AI researcher, companies can build an automated fraud detection system that analyzes large volumes of data in real-time. This system can identify suspicious patterns and anomalies, flagging potential fraudulent activities and minimizing financial losses.

Predictive Maintenance for Manufacturing

An AI expert can develop predictive maintenance models that leverage machine learning algorithms to analyze sensor data from manufacturing equipment. By predicting equipment failures in advance, companies can schedule maintenance activities, reduce downtime, and optimize production efficiency.

AI-powered Marketing Campaign Optimization

Working with an AI researcher, companies can optimize their marketing campaigns using AI techniques. These researchers can analyze customer data, segment audiences, and recommend personalized content and targeting strategies to maximize campaign effectiveness and ROI.

AI-driven Supply Chain Optimization

Collaborating with an AI expert can help companies optimize their supply chain operations. These researchers can develop AI models to analyze historical data, predict demand, optimize inventory levels, and streamline logistics, leading to cost savings and improved operational efficiency.