Rate My Professor Rushit Dave

Dr. Dave's research interests focus on machine learning and deep learning applications across various domains, including cybersecurity, biometrics authentication schemes, IoT security in wireless networks, machine learning applications in computing education, object detection using machine learning, human activity recognition using machine learning, Canvas System 2.0, touch and click stream analysis, data mining, deep learning, and reinforcement learning. He founded and directs the Artificial Intelligence, Machine Learning & Security Research (AIMS) Group at Minnesota State University, Mankato, which collaborates with North Carolina A&T State University, Northern Kentucky University, and University of Wisconsin-Eau Claire to advance research in these areas. Dr. Dave has published multiple journal and conference papers in reputed platforms and serves on the editorial and reviewer boards of numerous computer science and engineering journals and conferences. His mentorship has guided numerous graduate students in their theses, covering topics such as deepfake detection using machine learning, mouse dynamics for user authentication, sentiment analysis in healthcare, automation readiness in course scheduling, and music genre recognition. Through these efforts, Dr. Dave contributes significantly to the academic field by bridging theoretical advancements with practical applications in computer science.