Dr. Sreerama KV Murthy received a PhD in Data Mining and Machine Learning in 1995 from Johns Hopkins University, which could make him one of the earliest PhD-holders in Data Mining in India. Prior to that, Dr. Murthy completed a Master's thesis in Next Generation Expert Systems from IIT-Madras Computer Science.
Automatically building mega-catalogs from Hubble Space Telescope images was Dr. Murthy’s PhD thesis. The software he designed is used till date in scores of countries. His paper on the topic continues to be a top-cited paper in the area of Decision Trees and Machine Learning.
In the past 24 years, Dr. Murthy worked for world-class research labs such as Siemens Corporate Research - Princeton, IBM Research - Delhi and National Center for Software Technology (now CDAC, Mumbai). He also has been instrumental in setting up three startup companies that drove innovation in data mining in vocational skilling, healthcare and supply chain management.
Dr. Murthy currently is the CEO of Quadratyx, a company that offers corporate training, proprietary e-learning and consulting services in Big Data, Machine Learning, Text & Image Mining and Predictive Analytics. Quadratyx helps dozens of customers in India and abroad, and also performs high-end research in Big Data Analytics.
Dr. Murthy has 8 issued US patents, over a dozen patent-pending innovations, and scores of international publications, all in the area Data Science. His team has done seminal work in Learning Analytics. Dr. Murthy has been a Principal Advisor & Mentor for the International School of Engineering, whose Big Data certification program has been recently listed as 3rd in the world by CIO.com, alongside the programs of Columbia and Stanford University.
Representative Projects that Dr. Murthy & his teams successfully completed:
- Fertilizer Demand Forecasting
- Impact prediction for multiple factors on product pricing
- Clinical trial protocol document mining
- Unstructured survey text mining for decision support
- Automatic filling of complex forms (e.g., customs, insurance) using data mining
- Piracy protection of digital content
- Continuous monitoring and assessment systems
- Data mining for personalizing e-learning on a mass scale
- Interactive virtual classrooms using IP-TV; Multi-dimensional biometric security systems
- Intelligent auto-auctioning agents for e-commerce
- Image mining for personalized recommendations for retail buyers
- Sales prediction for retail durables; User profiling for targeted marketing
- Online fraud detection & risk evaluation of credit card transactions
- Audio mining for preventive diagnosis of car engine problems
- Non-destructive evaluation of power-plant welds using data mining
- Computer-aided diagnosis of mammography images
- Automatic collimation for X-ray fluoroscopy using machine learning
- Design and development of the MATRA machine translation system