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Basil Latif

Lecturer in Computer ScienceLoyola Marymount University

Seaver College of Science and Engineering

Deep Learning / Neural NetworksMachine Learning and Big Data AnalyticsPythonDatabases

David Kramer

Professor of Biochemistry and Molecular BiologyMichigan State University

Expert in biofuels, photosynthesis

BiochemistryMolecular BiologyPhotosynthesisEnergy & Renewable EnergyPlant Biology

Pascal Van Hentenryck

Professor, Russel Chandler III Chair, industrial and systems engineeringGeorgia Tech - COE

Pascal Van Hentenryck is an expert in Artificial Intelligence, Data Science, and Operations Research.

Data EngineeringAnalytics and Machine LearningEnergy SystemsData ScienceArtifical Intelligence

Daniel Wright, PhD

Faculty Director, Center for Business Analytics; Professor of Management and Operations | Villanova School of BusinessVillanova University

Daniel Wright, PhD, is an expert in Business Analytics, Management and Operations.

BusinessHealthcare StaffingService Operations Supply Chain ManagementOperations Management

Changqing Luo, Ph.D.

Assistant ProfessorVCU College of Engineering

Dr. Luo’s research focuses on cybersecurity, big data, and complex networks.

Security and privacy (e.g., mobile networks, cyber-physical systems, distributed systems, Internet of Things)Complex networks (e.g., optimization, resource management, cross-layer design)Big data (e.g., large-scale data computing and analytics, smart health)

Jag Randhawa

Innovation Advisor and SpeakerIdea Employee

Business Growth Through Engaged Workforce

Future of Technology and Business: Internet of Things, Big Data, and Yes, HumansEmployee Engagement and Innovation: Engage Employees, Accelerate Innovation, and Grow the BusinessHow to Build High Performance TeamsThe Art and Science of Persuasion: Use of Body Language to Increase Influence and Persuasive Powers

Swati Gupta

Assistant Professor, Industrial and Systems EngineeringGeorgia Tech - College of Engineering

Gupta's research focuses on optimization, machine learning, and bias and fairness within the AI sphere.

Data-driven Decision-making Under Partial InformationOnline and Machine LearningCombinatorial, Convex and Robust OptimizationFairness and Bias in Decisions