What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
His primary scientific interests are in Game theory, Nash equilibrium, Mathematical optimization, Computer network and Power control.
His research in Game theory intersects with topics in Computer security, Wireless ad hoc network and Distributed computing.
The concepts of his Distributed computing study are interwoven with issues in Exploit, Intrusion detection system and Cloud computing security.
The study incorporates disciplines such as Cognitive radio and Stackelberg competition in addition to Nash equilibrium.
His Mathematical optimization research incorporates themes from Resource allocation, Hybrid system and Robustness.
His Computer network research includes themes of Wireless and Vehicular ad hoc network.
His most cited work include:
- Game theory meets network security and privacy (576 citations)
- CDMA uplink power control as a noncooperative game (396 citations)
- Network Security: A Decision and Game-Theoretic Approach (317 citations)
What are the main themes of his work throughout his whole career to date?
Tansu Alpcan focuses on Game theory, Mathematical optimization, Computer network, Nash equilibrium and Distributed computing.
His Game theory study incorporates themes from Computer security, Resource allocation and Mechanism design.
Tansu Alpcan focuses mostly in the field of Computer security, narrowing it down to matters related to Cloud computing security and, in some cases, Computer security model.
His research investigates the connection between Mathematical optimization and topics such as Robustness that intersect with issues in Flow control.
His studies in Computer network integrate themes in fields like Wireless, Wireless ad hoc network and Wireless network.
In his research on the topic of Nash equilibrium, Base station is strongly related with Power control.
He most often published in these fields:
- Game theory (23.45%)
- Mathematical optimization (22.15%)
- Computer network (17.59%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (8.14%)
- Adversarial system (3.58%)
- Reinforcement learning (3.26%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Adversarial system, Reinforcement learning, Electricity and Game theory.
His research investigates the link between Artificial intelligence and topics such as Machine learning that cross with problems in Adversary.
His Adversarial system research is multidisciplinary, relying on both Computer security and Mathematical economics.
His work on Electricity market as part of general Electricity research is often related to Environmental science, thus linking different fields of science.
Tansu Alpcan has researched Game theory in several fields, including Wireless, Iterative method, Bounded function, Nash equilibrium and Information system.
His work in Nash equilibrium addresses subjects such as Structure, which are connected to disciplines such as Mathematical optimization.
Between 2017 and 2021, his most popular works were:
- Influence of building envelopes, climates, and occupancy patterns on residential HVAC demand (20 citations)
- Distributed Real-Time IoT for Autonomous Vehicles (20 citations)
- Reinforcement Learning for Autonomous Defence in Software-Defined Networking (15 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Artificial intelligence
His main research concerns Adversarial system, Artificial intelligence, Game theory, Electricity and Environmental science.
He has included themes like Computer security, Software-defined networking and Reinforcement learning in his Adversarial system study.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Base and Adversary.
Tansu Alpcan combines subjects such as Wireless, Anomaly detection, Cognitive network, Sensor array and Encryption with his study of Game theory.
In his study, Tansu Alpcan carries out multidisciplinary Work and Mathematical optimization research.
Tansu Alpcan studies Linear programming which is a part of Mathematical optimization.
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