Abhishek Gupta

Abhishek GuptaAbhishek Gupta is currently working as Senior Scientist at CSIR-Central Scientific Instruments Organisation Chandigarh. He is working in the field of computational image processing. His research areas are medical/dental imaging, computer visio and artificial intelligence. He has completed BE in Computer Engineering from Rajasthan University, ME in Computer Science and Engineering from PEC University of Technology, Chandigarh, and PhD in Engineering from AcSIR (Academy of Scientific and Innovative Research) at CSIR-Central Scientific Instruments Organisation, Chandigarh. He is working in the area of computational dentistry. He has filed eight patents in India and United States. Two US patents and two Indian patents have been granted in his credit. He has authored around 30 articles in SCI journals, and authored several other articles in conferences and other journals with reputed indexing. He has delivered many invited expert talks in several renowned organizations. He has supervised many PhD (Engineering) and M. Tech thesis. He has received many funded projects from government agencies. Read More Read Less

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Artificial Intelligence Applications in Banking and Financial Services37 %
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Applications of Three-Dimensional Imaging for Craniofacial Region38 %
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Artificial Intelligence Applications in Banking and Financial Services37 %
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Evolutionary Multi-Task Optimization37 %
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Introduction to Cellular Network Analysis Using Stochastic Geometry39 %
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Introduction to Cellular Network Analysis Using Stochastic Geometry37 %
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Information Management and Machine Intelligence37 %
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Information Management and Machine Intelligence37 %
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Nanotechnology Environmental Health and Safety48 %
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Emerging Nanotechnologies in Food Science48 %
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Memetic Computation37 %
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Applications of Quantum Dots59 %
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Application of Carbon Nano Dots59 %
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Micro- and Nanosystems for Biotechnology43 %
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Nanoparticle Surface and Curvature43 %
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Dear Selene48 %
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Chitosan Nanoparticles59 %
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Recent Advances in Evolutionary Multi-Objective Optimization37 %
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Recent Advances in Evolutionary Multi-Objective Optimization37 %
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Systems Biology and Machine Learning Methods in Reproductive Health8 % NR
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