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 Dr. Pantaleon Fassbender, ENG. BRYAN ASEGA, Artem Timoshenko, Ph.D., Dr. Antonio Pagliaro, Ph.D., Dawn Hancock, Ping Luo, Tyler Streeter, Dr. Andrew Raij, Ph.D., Dr. Vartenie Aramali, Ph.D., Keiran Thompson, Christos Makridis, Dr. Wolfgang Messner, Nicolangelo Iannella, and IQRAM HUSSAIN, Ph.D..
Dr. Pantaleon Fassbender
Highly experienced global leadership and corporate health management advisor
Education
Rheinische Friedrich-Wilhelms-Universität Bonn
Th.D., Theological Ethics / March, 1995
Rheinische Friedrich-Wilhelms-Universität Bonn
M.Sc., Psychology / May, 1993
Rheinische Friedrich-Wilhelms-Universität Bonn
M.A., Theology / February, 1990
Experience
Twisters Management Consulting LLC
Managing Director / November, 2019 — Present
International L&D and training expert. Leadership and data science advisor. Corporate Health Management for global clients
Kambs Consulting
Director / July, 2010 — Present
KPMG
Senior Manager / September, 1999 — June, 2010
Manager/ Senior Manager with the Service Lines Forensic Services and Restructuring
Most Relevant Research Expertise
Other Research Expertise (8)
About
Most Relevant Publications (1+)
7 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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Ping Luo
Assistant Professor at Algoma University
Education
University of Saskatchewan
Ph.D., Biomedical Engineering / September, 2019
Beijing Institute of Technology
M.Eng., Biomedical Engineering / June, 2015
Hunan University
B.Eng., Computer Science / June, 2010
Experience
Princess Margaret Cancer Centre
Postdoctoral Researcher / November, 2019 — Present
I work in Dr. Trevor Pugh's lab and design cancer diagnosis and treatment strategies by analyze cell-free DNA and single cell sequencing data
Princess Margaret Cancer Centre
Bioinformatics Specialist / September, 2023 — Present
I work in Dr. Tak Mak's lab and study tumor immunology using single cell and TCR sequencing data.
Most Relevant Research Expertise
Other Research Expertise (21)
About
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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Dr. Andrew Raij, Ph.D.
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
University of North Carolina at Chapel Hill
M.S., Computer Science / December, 2003
Northwestern University
B.S., Computer Science / June, 2001
Experience
Draper Laboratory
Principal Member of Technical Staff / January, 2021 — Present
Universal Studios / NBCUniversal
Technical Program Manager / December, 2016 — November, 2020
University of Central Florida
Research Associate Professor / March, 2015 — September, 2016
Most Relevant Research Expertise
Other Research Expertise (13)
About
Most Relevant Publications (1+)
54 total publications
A Large-Scale Study of Surrogate Physicality and Gesturing on Human–Surrogate Interactions in a Public Space
Frontiers in Robotics and AI / Jul 07, 2017
Kim, K., Nagendran, A., Bailenson, J. N., Raij, A., Bruder, G., Lee, M., Schubert, R., Yan, X., & Welch, G. F. (2017). A Large-Scale Study of Surrogate Physicality and Gesturing on Human–Surrogate Interactions in a Public Space. Frontiers in Robotics and AI, 4. https://doi.org/10.3389/frobt.2017.00032
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Dr. Wolfgang Messner
Professor in International Business with expertise in Data Analytics and Machine Learning
Education
University of Kassel
Dr. rer. pol., Economics and social sciences / 2004
University of Wales
M.B.A., Financial management / 1998
Technical University Munich
B.Sc. & M.Sc. (Dipl.-Inform. Univ.), Computer science; artificial intelligence; computer graphics / 1995
Experience
University of South Carolina, Darla Moore School of Business | Columbia, SC, USA
Clinical Professor of International Business / 2016 — Present
• Developed novel algorithms for eXplainable Artificial Intelligence (XAI). Leveraged machine learning and deep learning techniques to address research questions in international business and marketing • Utilized advanced statistical approaches to assess cultural diversity and differences across regions and populations • Investigated variations in the impact of the COVID-19 pandemic on public health systems and consumer behavior • Taught under- and postgraduate courses in the #1-ranked international business department, as recognized by US News & World Report. Courses include data analytics, management consulting, and intercultural team management • Engaged in collaborative student consulting projects with companies such as Positec, SC SBDC, Seabin Australia, Thomson Reuters, UPS Global Supply Chain Solutions (Data & Innovation), and UPS International
MYRA School of Business | Mysore, India
Professor of International Management / 2013 — 2016
• Analyzed cultural differences in consumer behavior with a focus on the effectiveness of marketing strategies • Formulated strategic initiatives for conducting business in emerging markets • Taught postgraduate courses on customer service, business case analysis, and international business
GloBus Research | London, UK & Bangalore, India
Co-founder & Director / 2011 — 2017
• Developed customized learning solutions for executives • Created assessment tools to evaluate intercultural communication competence and team effectiveness • Led the design and delivery of the India module within the prestigious Leadership Excellence Program offered collaboratively by WHU, IDG, and DXC Technology
Most Relevant Research Expertise
Other Research Expertise (14)
About
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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Nicolangelo Iannella
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
Denki Tsushin Daigaku
PhD (Eng), Information and Communications Engineering / March, 2009
Experience
University of Oslo
Postdoctoral Fellow / July, 2018 — Present
Most Relevant Research Expertise
Other Research Expertise (18)
About
Most Relevant Publications (2+)
47 total publications
A spiking neural network architecture for nonlinear function approximation
Neural Networks / Jul 01, 2001
Iannella, N., & Back, A. D. (2001). A spiking neural network architecture for nonlinear function approximation. Neural Networks, 14(6–7), 933–939. https://doi.org/10.1016/s0893-6080(01)00080-6
A neuromorphic VLSI design for spike timing and rate based synaptic plasticity
Neural Networks / Sep 01, 2013
Rahimi Azghadi, M., Al-Sarawi, S., Abbott, D., & Iannella, N. (2013). A neuromorphic VLSI design for spike timing and rate based synaptic plasticity. Neural Networks, 45, 70–82. https://doi.org/10.1016/j.neunet.2013.03.003
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IQRAM HUSSAIN, Ph.D.
Weill Cornell Medicine, Cornell University, NY, USA
Education
Korea University of Science and Technology
Doctor of Philosophy, Medical Physics / February, 2022
Khulna University of Engineering and Technology
Bachelor of Science, Mechanical Engineering / April, 2007
Experience
Weill Cornell Medicine
Postdoctoral Associate / March, 2023 — Present
Seoul National University
Postdoctoral Fellow / March, 2022 — February, 2023
Korea Research Institute of Standards and Science
PhD Researcher / September, 2017 — February, 2022
Most Relevant Research Expertise
Other Research Expertise (32)
About
Most Relevant Publications (1+)
43 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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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.