What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
Miao Pan spends much of his time researching Computer network, Cognitive radio, Scheduling, Service provider and Mathematical optimization.
His Computer network study incorporates themes from Wireless network, Bidding and Relay.
While the research belongs to areas of Wireless network, he spends his time largely on the problem of Mobile computing, intersecting his research to questions surrounding Cognitive network, Heterogeneous network and Contract theory.
His Cognitive radio study results in a more complete grasp of Wireless.
Miao Pan interconnects Wireless sensor network, Subcarrier, Approximation algorithm and Base station in the investigation of issues within Scheduling.
His Mathematical optimization research focuses on subjects like Upper and lower bounds, which are linked to Frequency allocation and Cross-layer optimization.
His most cited work include:
- Optimal Power Management of Residential Customers in the Smart Grid (177 citations)
- Decentralized Coordination of Energy Utilization for Residential Households in the Smart Grid (119 citations)
- Traffic-aware multiple mix zone placement for protecting location privacy (83 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Computer network, Cognitive radio, Distributed computing, Wireless and Scheduling.
In his works, Miao Pan conducts interdisciplinary research on Computer network and Service provider.
His study in Cognitive radio is interdisciplinary in nature, drawing from both Bidding, Optimization problem and Revenue.
His Distributed computing research focuses on Energy consumption and how it relates to Smart grid.
He focuses mostly in the field of Wireless, narrowing it down to topics relating to Wireless sensor network and, in certain cases, Key distribution in wireless sensor networks.
His Scheduling study frequently involves adjacent topics like Mathematical optimization.
He most often published in these fields:
- Computer network (35.25%)
- Cognitive radio (18.03%)
- Distributed computing (16.80%)
What were the highlights of his more recent work (between 2019-2021)?
- Distributed computing (16.80%)
- Wireless (15.98%)
- Artificial intelligence (6.97%)
In recent papers he was focusing on the following fields of study:
Miao Pan mostly deals with Distributed computing, Wireless, Artificial intelligence, Enhanced Data Rates for GSM Evolution and Mathematical optimization.
The various areas that Miao Pan examines in his Distributed computing study include Energy consumption, Efficient energy use, Mobile device and Telecommunications network.
His work deals with themes such as Wireless sensor network, Real-time computing and Bandwidth, Electrical engineering, Communications system, which intersect with Wireless.
His Artificial intelligence research integrates issues from Optimization problem, Machine learning and Hash function.
His work in Mathematical optimization tackles topics such as Differential privacy which are related to areas like Computer network, Encryption, Cellular network, Femtocell and Stochastic programming.
His Computer network research is multidisciplinary, relying on both Wireless ad hoc network and Heterogeneous network.
Between 2019 and 2021, his most popular works were:
- Federated Learning in Vehicular Edge Computing: A Selective Model Aggregation Approach (33 citations)
- Optimal VNF Placement via Deep Reinforcement Learning in SDN/NFV-Enabled Networks (27 citations)
- Differentially Private and Fair Classification via Calibrated Functional Mechanism (8 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Artificial intelligence
His scientific interests lie mostly in Distributed computing, Differential privacy, Artificial intelligence, Enhanced Data Rates for GSM Evolution and Real-time computing.
His work carried out in the field of Distributed computing brings together such families of science as Feature, Wireless sensor network, Deep learning, Vehicular ad hoc network and Efficient energy use.
Miao Pan has included themes like Leverage, Mathematical optimization and Gaussian noise in his Differential privacy study.
His Mathematical optimization study integrates concerns from other disciplines, such as Classifier, Information privacy and Revenue.
His Enhanced Data Rates for GSM Evolution research incorporates elements of Wireless, Artificial neural network, Energy consumption, Greedy algorithm and Contextual image classification.
His Real-time computing research includes themes of Node, Optimization problem, Point and Time division multiple access.
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