Dr Asoke Talukder

Dr Asoke K Talukder is a polymath. He is a Physicist by training, Computer Scientist by choice, and Biomedical Scientist by passion. He did M.Sc (Physics) and Ph.D (Computer Science); his current domain is Medical AI, Health Analytics, and Predictive Medicine. He worked in domains of innovation for companies like ICL, Fujitsu-ICIM, Microsoft, Oracle, Informix, Digital, Hewlett Packard, Sequoia, Northern Telecom, NEC, KredietBank, iGate, Cellnext, Tyfone etc. Dr Asoke authored/edited six books; out of which two are translated in Chinese; he published about 70+ research papers. He is recipient of many international awards including All India Radio/Doordarshan Award, ICL Services Trophy, ICIM Professional Excellence Award, ICL Chief Executive Excellence Award, Atlas Club Excellence Award, and Govt of Karnatake Bio-Excellence Awards. His products were recipient of IBM Solutions Excellence Award, and Simagine GSMWorld Award. He Internet enabled Microsoft PowerPoint. He engineered the FIRST 64-bit Database with Asynchronous IO in the World for Informix & Digital. He engineered the First Realtime Reality TV Show Kaun Banega Crorepati (Who Wants to be a Millionaire) hosted by Amitabh Bachchan. He developed the first Blockchain Consensus protocol "Proof of Disease" for healthcare. He engineered the ZERO Defect Network Management Controller for Queen's Award winning PDMX. He setup the first X.25 network in India for Department of Telecommunications (DoT), and the first Java Competency Centre in India. Dr Asoke has been listed in "Who’s Who in Science and Engineering", "Who’s Who in the World" and "Outstanding Scientists of 21st Century". In previous avatars Dr Asoke co-founded Cellnext that shaped the Mobile Web in India. He co-founded InterpretOmics, a leading Systems Biology and Genomics Big-data company. He co-founded Precision Genomics Limited, a company using AI (Artificial Intelligence) for AI (Actionable Insights) in Medicine. In Medical AI he is integrating Unstructured Clinical & Genomics Big-data with Unstructured Medical and Phenomics (SNOMED/Clinical/Medical/Lab/Radiology etc) Big-data to ensure "better health and better outcome at better price". This solution will increase the productivity of a hospital/clinic and reduce the disease burden.