Ann Reddipogu
Director
ManyWorlds UK Ltd
United Kingdom
Biography
Dr. Reddipogu is a multidisciplinary R&D Professional with experience in Artificial Intelligence, Information Systems and Mechanical Engineering. She has worked in Industry and Academia, where she has developed innovative solutions and strategies in Technical Advancements, Business Operations and Education.Technical Program Committee Member, Adviser and Reviewer of World Congress on Engineering (WCE), Journal Ocean Engineering, EURASIP Journal on Applied Signal Processing, Journal Neuroscience Letters, ICTACT Journal on Image and Video Processing (IJIVP), International Conference on Innovative Methods for Intrusion Prevention and Detection Systems (IPDS), ICENTRIC, International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services, International Journal On Advances in Intelligent Systems.Other Achievements are Invited by Science, Engineering and Technology for Europe to the UK Houses of Parliament as a Young Engineer of the Year, 2002,Developed a new Artificial Neural Network Architecture called the Distributed Neural Network based on the Toad’s Visual System,Developed a Learning Algorithm in Artificial Intelligence called Fusion based on Reinforcement Learning and Genetic Algorithms.
Research Interest
Bio metrics, Image Processing, Biologically Inspired Engineering Systems, Biological Evolution and Vision Systems, Evolutionary Algorithms, Artificial Neural Networks, Intelligent Subsea Systems and Fluid Mechanics, Intelligent Well Design (Oil & Gas), Business Intelligence