Somya Mohanty

Fostering growth in knowledge systems for the modern digital age, Dr. Somya Mohanty serves as an Associate Professor and Graduate Program Director at the University of North Carolina at Greensboro. With a robust academic foundation, Dr. Mohanty earned his PhD in Computer Science from Mississippi State University, where he honed his expertise in the dynamic fields of machine learning, data science, cybersecurity, and trustworthy computing. Dr. Mohanty's research is characterized by its practical applications across diverse domains. His work in machine learning and data science has significantly contributed to advancements in network traffic prediction, enhancing the efficiency and security of digital communications. Additionally, his research extends to the healthcare sector, where he applies data-driven methodologies to improve the understanding of patient health, thereby contributing to more personalized and effective healthcare solutions. Throughout his career, Dr. Mohanty has been successful in securing substantial funding from prestigious organizations such as the National Oceanic and Atmospheric Administration (NOAA) and the National Science Foundation (NSF). These grants have supported his endeavors to develop innovative methods and algorithms that address the challenges of analyzing big data, a critical component in today's information-rich environment. As a dedicated educator and mentor, Dr. Mohanty is deeply committed to fostering the next generation of computer scientists. He actively engages with students, encouraging them to explore the intersections of technology and society, and equipping them with the skills necessary to tackle complex problems in the digital world. His leadership as Graduate Program Director reflects his dedication to academic excellence and his vision for a future where technology serves as a tool for positive change. Dr. Mohanty's contributions to the field of computer science are not only evident in his research and teaching but also in his active participation in the academic community. He regularly presents his findings at conferences and collaborates with fellow researchers to push the boundaries of what is possible in machine learning and cybersecurity. His work continues to inspire and influence both his peers and students, making a lasting impact on the field.