David Eisenberg
Assistant Professor, Information Management and Business Analytics
Email: Eisenbergd@montclair.edu
Office: (973) 655-7012
Faculty Profile
Expert on societal and economic impacts of artificial intelligence, automation, sensors, biotech, and emerging technologies.
Areas of Expertise
- Artificial intelligence, automation, robotics, and the future of work
- Remote and neurophysiological sensor surveillance and privacy
- Biotech, machine learning, and public health
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Impacts of social media and AI on kids, teenagers, schools, and families
- Digital marketing ethics and corporate social responsibility
Publications
- The Future of Work in a Digital World
- Human Attention Recognition with Machine Learning from Brain-EEG Signals
- Vehicle Recognition Via Sensor Data From Smart Devices
- Shaping the Future of Work: Responsible Design and Public Policy for Generative AI
- Early detection of subjective cognitive decline from self-reported symptoms: An interpretable attention-cost fusion approach
- Fair and explainable Myocardial Infarction (MI) prediction: Novel strategies for feature selection and class imbalance correction
- Gender Recognition by Monitoring Walking Patterns via Smartwatch Sensors
- Establishing an Ethical Framework of Legal Accountability for Artificial Intelligence
- Increasing Engagement in Online Classrooms with Augmented Reality Filters
- Optimizing stability of heart disease prediction across imbalanced learning with interpretable Grow Network
- Fair and explainable Myocardial Infarction (MI) prediction: Novel strategies for feature selection and class imbalance correction