AB
Adarsh Prasad Behera
KTH Royal Institute of Technology, IMDEA Networks, Indian Institute of Information Technology, Siksha O Anusandhan University Institute of Technical Education and Research
Research areas: Computer Science · Computer Vision and Pattern Recognition · Advanced Neural Network Applications · IoT and Edge/Fog Computing · Generative Adversarial Networks and Image Synthesis
Employment
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KTH Royal Institute of Technology Postdoctoral Research Fellow2024 - Present
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IMDEA Networks Post Doctoral Researcher2023 - 2024
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FIGHTRIGHT Technologies Private Limited Decision Scientist2022 - 2022
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Indian Institute of Information Technology Allahabad Teaching and Research Assistant2021 - 2022
Education
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Indian Institute of Information Technology PhD2017 - 2022
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Indian Institute of Information Technology M.Tech2015 - 2017
- 2011 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (15)
- A Simulation Driven Evaluation of Three-tier Hierarchical Inference Learning Framework Save
- A Cost-Aware Hierarchical Cascade for Anomaly Detection at the Edge in Connected Vehicles Save
- Exploring the Boundaries of On-Device Inference: When Tiny Falls Short, Go Hierarchical Save
- Intensity Based Event Detection in Sensor Based IoT Save
- Hierarchical Inference at the Edge: A Batch Processing Approach Save
- CNN-Based Metrics for Performance Evaluation of Generative Adversarial Networks Save
- Deformity removal from handwritten text documents using variable cycle GAN Save
- Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices Save
- The Case for Hierarchical Deep Learning Inference at the Network Edge Save
- Strike off removal in Indic scripts with transfer learning Save
- Curvature Regularized Similarity Based Ricci Flow Embedding Save
- Data visualization through non linear dimensionality reduction using feature based Ricci flow embedding Save
- WSN Localization Using Similarity-Based Ricci Flow Embedding Save
- Regularized Deep Convolutional Generative Adversarial Network Save
- Manifold Learning With Localized Procrustes Analysis Based WSN Localization Save