Kiran Kalidindi
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Contact informationKiran Kalidindi |
Biography
Kiran is currently developing algorithms for the direct marketing industry and importing products from India to sell in the UK and European market. He earned his Ph.D. in Computer Science from the University of Kent (UK) in May 2008, where he taught on courses in both Management and Computer Science. His Ph.D. was fully funded by the Computing Laboratory at the University of Kent. This allowed him to conduct genuine "blue skies" research with no limitations on the remit. His research would probably be best described as Cognitive Science.
Before starting his Ph.D., Kiran has worked in a variety of industries from IT Outsourcing giants like Electronic Data Systems (EDS) to direct marketing stalwarts such as Freemans Catalogue Ltd, in addition to stints in the UK Civil Service. Furthermore, he has an MSc in Computer Science from the University of Kent (1999) and a BSc in Physics with Management Studies from University College London (1997). Kiran's other interests include Utopian musing and increasing the sharing of data between scientists particularly in the domain of psychology.
In his PhD titled "Reinforcement Learning, the Prefrontal Cortex and Decision Making and he examined the differences in behaviour between patients with various prefrontal brain lesions and age-matched normal healthy controls on the Iowa Gambling Task using computational models. The results of which were used to infer potential regional brain function. This method of investigation is called Computational Neuropsychology.
Other Interests
Kiran is passionate about developing relationships with producers in India to generate cost advantages through access to reduced labour rates as well as bringing new products, not formally available, to the UK. He can provide clients and vice versa producers in the UK, with a local connection to the Indian market.
In addition, Kiran has initiated the Cognitive Data Sharing project, which aims to bring theoreticians and experimentalists together to improve the development of theories and understanding of data through transparency and sharing of experimental data. The scientific endeavour can be slowed by the withholding of often publically funded data by the collectors of that data. To find out more please contact Kiran.