Ganapathy Mani is a lecturer of computer science at the George Washington University, Washington, DC. His broad research interests are artificial intelligence, human-computer interaction, information management, and computational biology. He is currently conducting research on crowdsourcing, social computing, and privacy-security paradoxes in social networks. Ganapathy has a master’s degree in computer science from the George Washington University. He holds a bachelor’s degree in electronics and communication engineering from Anna University, India. He graduated with first class honors.
Previously, he worked as a research and software development engineer at the World Bank, where he developed a new integrated Internet and intranet architecture (I3), which interconnects open-source and proprietary products, to enhance the communication and collaboration of employees in the organization. Leveraging the proliferation of mobile phones to empower women in developing countries, Ganapathy, in collaboration with women’s self-help groups in India, has built an information service with micro-volunteering that can deliver vital information—educational and training opportunities—to women in remote impoverished villages in India.
As a researcher at the George Washington University, he worked on several big data management problems, including the development of fault-tolerant big data processing mechanisms using error-correcting codes. He also designed a new architecture and information flow model for surgical training with cloud computing and 3D web technologies. He built a model of the system using OpenGL and an intubation robot for generating a 3D simulation of a surgery, which is stored in the cloud and rendered through a webpage built using WebGL. It reduces the computation and storage cost while extending the service to doctors with a simple Internet connection. With these projects, Ganapathy has also developed protocols for detecting clone attacks and preventing data losses in mobile ad hoc networks.
Collaborating with the University of Medicine and Dentistry in New Jersey (UMDNJ), Ganapathy has developed an operational scheme of mental disorders in the framework of a big data computational model. As part of this project, he has developed interactive and adaptive virtual learning tools for treating autistic children. These projects and their findings have been published in international conferences as well as journals.
Apart from his research in computer science, Ganapathy has a keen research interest in physics and biology. He spends his spare time conducting research to find explanations for quantum entanglement, quantum gravity, variations in radioactive decay, and the movement of stars in galaxies. He also conducts biological research to find the disparities among gradual and punctual evolutionary theories in order to develop a generic evolutionary theory with both gradual and punctual evolution aided by epigenetics.