What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Electrical engineering
The scientist’s investigation covers issues in Real-time computing, Electronic engineering, Process control, Mobile device and Occupancy.
His Real-time computing research incorporates themes from Embedded system and Data collection.
His Electronic engineering study incorporates themes from Critical dimension, Wafer and Process design.
His Process control study combines topics in areas such as Process modeling, Semiconductor device fabrication, Statistical process control and Supervisory control.
His Mobile device study integrates concerns from other disciplines, such as RSS and Building automation.
His work in Advanced process control tackles topics such as Control engineering which are related to areas like Control system and Reliability.
His most cited work include:
- Advanced Process Control (403 citations)
- Modeling within-die spatial correlation effects for process-design co-optimization (210 citations)
- Fundamentals of Semiconductor Manufacturing and Process Control (169 citations)
What are the main themes of his work throughout his whole career to date?
Costas J. Spanos mainly investigates Electronic engineering, Artificial intelligence, Lithography, Optics and Real-time computing.
His study in Electronic engineering is interdisciplinary in nature, drawing from both Wafer, Process control, Process, Integrated circuit and Fault.
His Process control research includes elements of Control engineering, Semiconductor device fabrication and Statistical process control.
His Artificial intelligence research integrates issues from Machine learning, Efficient energy use and Building automation.
His work deals with themes such as Aerial image and Photolithography, which intersect with Lithography.
Costas J. Spanos applies his multidisciplinary studies on Real-time computing and Occupancy in his research.
He most often published in these fields:
- Electronic engineering (17.56%)
- Artificial intelligence (12.18%)
- Lithography (11.61%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (12.18%)
- Building automation (7.93%)
- Efficient energy use (6.80%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Artificial intelligence, Building automation, Efficient energy use, Machine learning and HVAC.
His studies in Building automation integrate themes in fields like Identification, Wireless sensor network, Fault detection and isolation, Mobile device and Cyber-physical system.
His research in Machine learning intersects with topics in Feature extraction and Robustness.
The study incorporates disciplines such as Scalability, Computation and Mathematical optimization in addition to HVAC.
His Mathematical optimization research is multidisciplinary, incorporating perspectives in Control and Model predictive control.
Costas J. Spanos connects Occupancy with Real-time computing in his research.
Between 2017 and 2021, his most popular works were:
- Microgrid to enable optimal distributed energy retail and end-user demand response (93 citations)
- WinLight: A WiFi-based occupancy-driven lighting control system for smart building (64 citations)
- Occupancy Detection via Environmental Sensing (59 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Electrical engineering
Costas J. Spanos mainly focuses on Building automation, Artificial intelligence, Efficient energy use, Identification and HVAC.
The concepts of his Building automation study are interwoven with issues in Energy consumption, Human–computer interaction, Fault detection and isolation, Mobile device and Cyber-physical system.
The study incorporates disciplines such as Control engineering, Control theory, Internal model and Daylight harvesting in addition to Energy consumption.
His Artificial intelligence research integrates issues from Continuous game and Machine learning.
Costas J. Spanos has researched Identification in several fields, including Electronic engineering, Regular polygon, Tensor and Pattern recognition.
The HVAC study combines topics in areas such as Energy, Energy management, Energy supply and Mathematical optimization.
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