Costas N. Georghiades

What is he best known for?

The fields of study he is best known for:

• Telecommunications
• Statistics
• Computer network

His main research concerns Algorithm, Decoding methods, Theoretical computer science, Communication channel and Concatenated error correction code. His research ties Fading and Algorithm together. The concepts of his Decoding methods study are interwoven with issues in Nyquist rate, Euclidean distance and Nyquist–Shannon sampling theorem.

His study looks at the relationship between Theoretical computer science and topics such as Variable-length code, which overlap with Linear network coding. He usually deals with Communication channel and limits it to topics linked to Electronic engineering and Pulse-position modulation, Channel capacity and Intersymbol interference. His study looks at the intersection of Turbo code and topics like Serial concatenated convolutional codes with Convolutional code and Error floor.

His most cited work include:

• Compression of binary sources with side information at the decoder using LDPC codes (621 citations)
• On the Index Coding Problem and Its Relation to Network Coding and Matroid Theory (312 citations)
• Exploiting faster-than-Nyquist signaling (229 citations)

What are the main themes of his work throughout his whole career to date?

Costas N. Georghiades mainly focuses on Algorithm, Communication channel, Electronic engineering, Fading and Decoding methods. His biological study spans a wide range of topics, including Sequence, Theoretical computer science and Bit error rate. His Communication channel research incorporates elements of Computer network and Synchronization.

His studies in Fading integrate themes in fields like Multipath propagation and Channel state information. His Decoding methods study incorporates themes from Transmitter and Phase-shift keying. His Turbo code research also works with subjects such as

• Concatenated error correction code and related Linear code,
• Low-density parity-check code which intersects with area such as Forward error correction.

He most often published in these fields:

• Algorithm (47.21%)
• Communication channel (30.47%)
• Electronic engineering (27.90%)

What were the highlights of his more recent work (between 2011-2020)?

• Computer network (9.01%)
• Interference (8.15%)
• Cognitive radio (5.15%)

In recent papers he was focusing on the following fields of study:

Computer network, Interference, Cognitive radio, Throughput and Random variable are his primary areas of study. His research in Computer network intersects with topics in Wireless ad hoc network, Spectrum management and Communication channel. His Cognitive radio research is multidisciplinary, incorporating perspectives in Frequency-division multiple access, Orthogonal frequency-division multiplexing and Transmitter power output.

The Transmitter power output study combines topics in areas such as Algorithm, Beamforming and Mathematical optimization. His work on Optimization problem as part of general Algorithm research is frequently linked to Throughput, bridging the gap between disciplines. His Throughput research includes themes of Topology and Fading.

Between 2011 and 2020, his most popular works were:

• Secrecy Capacity per Unit Cost (42 citations)
• Secret Writing on Dirty Paper: A Deterministic View (29 citations)
• Code Design for Flicker Mitigation in Visible Light Communications Using Finite State Machines (15 citations)

In his most recent research, the most cited papers focused on:

• Telecommunications
• Statistics
• Computer network

The scientist’s investigation covers issues in Random variable, Communication channel, Relay, Channel capacity and Topology. His research on Random variable also deals with topics like

• Cognitive radio together with Frequency-division multiple access, Statistical model, Orthogonal frequency-division multiplexing and Computer network,
• Diversity scheme which is related to area like Noise, Discrete mathematics and Transmitter,
• Monte Carlo method, Weibull fading, Applied mathematics and Fading most often made with reference to Extreme value theory. The various areas that Costas N. Georghiades examines in his Relay study include Statistics, Beamforming, Wireless network, Mathematical optimization and Destination-Sequenced Distance Vector routing.

Channel capacity is a subfield of Telecommunications that Costas N. Georghiades explores. His Topology study combines topics in areas such as Transmission and Throughput. His Transmitter power output research includes elements of Relay channel, Signal reconstruction, Relaxation and Algorithm, Optimization problem.