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..
Dr. Charles Lassiter, Ph.D.
Associate professor of philosophy with publications on mind, language, knowledge, and culture
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Other Research Interests (13)
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Most Relevant Publications (1+)
22 total publications
Could a robot flirt? 4E cognition, reactive attitudes, and robot autonomy
AI & SOCIETY / Jan 02, 2021
Lassiter, C. (2021). Could a robot flirt? 4E cognition, reactive attitudes, and robot autonomy. AI & SOCIETY, 37(2), 675–686. https://doi.org/10.1007/s00146-020-01116-6
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Dr. Wolfgang Messner
Professor in International Business with expertise in Data Analytics and Machine Learning
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Other Research Interests (18)
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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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Ping Luo
Bioinformatics Specialist at Princess Margaret Cancer Centre with experience in deep learning
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Other Research Interests (21)
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Most Relevant Publications (1+)
23 total publications
CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization
Neurocomputing / Jan 01, 2018
Tian, L.-P., Luo, P., Wang, H., Zheng, H., & Wu, F.-X. (2018). CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization. Neurocomputing, 275, 2031–2040. https://doi.org/10.1016/j.neucom.2017.10.039
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Professor(Dr) Sanjay Rout
Industry Expert Dr. Sanjay - Former Honorary Chancellor, Leading Chair Professor and Advisory Consultant for Research and Development Forums.
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Other Research Interests (14)
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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
Highly experienced global leadership and corporate health management advisor
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Other Research Interests (7)
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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.
Weill Cornell Medicine, Cornell University, NY, USA
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Other Research Interests (32)
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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
Assistant Professor in engineering (food, industrial and process) with quantitative and qualitative research in food processing, safefy, efficiency management, optimization and data analysis
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Other Research Interests (18)
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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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Ryan Howell
Professor of Psychology, Department of Psychology, San Francisco State University
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Other Research Interests (33)
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Most Relevant Publications (1+)
66 total publications
Video conferencing during emergency distance learning impacted student emotions during COVID-19
Computers in Human Behavior Reports / Aug 01, 2022
Okabe-Miyamoto, K., Durnell, E., Howell, R. T., & Zizi, M. (2022). Video conferencing during emergency distance learning impacted student emotions during COVID-19. Computers in Human Behavior Reports, 7, 100199. https://doi.org/10.1016/j.chbr.2022.100199
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Suhas Chelian
Lead in machine learning, neuroscience
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Other Research Interests (5)
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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.
PRINCIPAL AI/COMPUTER VISION DATA SCIENTIST; EXPERIENCED SOFTWARE (PYTHON, C/C++, R) DEVELOPER; ADJUNCT UNIVERSITY PROFESSOR
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Other Research Interests (14)
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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.