What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Mechanical engineering
Dimitri N. Mavris mainly investigates Systems engineering, Aviation, Operations research, Automotive engineering and Propulsion.
His work deals with themes such as Probabilistic design, Simulation, Identification and Aerospace, which intersect with Systems engineering.
His studies in Aviation integrate themes in fields like Aeronautics, Reliability engineering, Electric motor and Noise.
His Operations research research focuses on subjects like Probabilistic logic, which are linked to Engineering design process.
His biological study deals with issues like Power station, which deal with fields such as Airplane and Design methods.
His Propulsion study is concerned with the larger field of Aerospace engineering.
His most cited work include:
- Next Generation More-Electric Aircraft: A Potential Application for HTS Superconductors (179 citations)
- Robust Design Simulation: A Probabilistic Approach to Multidisciplinary Design (131 citations)
- A CONCEPT EXPLORATION METHOD FOR DETERMINING ROBUST TOP-LEVEL SPECIFICATIONS (128 citations)
What are the main themes of his work throughout his whole career to date?
Dimitri N. Mavris focuses on Systems engineering, Automotive engineering, Aviation, Aerospace engineering and Conceptual design.
His work in Systems engineering addresses subjects such as Simulation, which are connected to disciplines such as Reliability engineering.
His Automotive engineering study frequently links to adjacent areas such as Propulsion.
The various areas that Dimitri N. Mavris examines in his Aviation study include Aeronautics, Noise and Operations research.
Particularly relevant to Aerodynamics is his body of work in Aerospace engineering.
His Conceptual design study often links to related topics such as Parametric statistics.
He most often published in these fields:
- Systems engineering (21.59%)
- Automotive engineering (10.57%)
- Aviation (10.19%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (4.82%)
- Systems engineering (21.59%)
- Aviation (10.19%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Artificial intelligence, Systems engineering, Aviation, Machine learning and Aeronautics.
His work on Artificial intelligence is being expanded to include thematically relevant topics such as Aviation safety.
Dimitri N. Mavris combines subjects such as Design space exploration, Space, Propulsion, Certification and Conceptual design with his study of Systems engineering.
His Propulsion research is under the purview of Aerospace engineering.
His work carried out in the field of Aviation brings together such families of science as Noise control, Noise and Automotive engineering, Fuel efficiency.
His study on Aeronautics is mostly dedicated to connecting different topics, such as Takeoff.
Between 2018 and 2021, his most popular works were:
- An Application of DBSCAN Clustering for Flight Anomaly Detection During the Approach Phase (16 citations)
- Critical Parameter Identification for Safety Events in Commercial Aviation Using Machine Learning (9 citations)
- Application of Machine Learning Techniques to Parameter Selection for Flight Risk Identification (9 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Mechanical engineering
His primary areas of investigation include Artificial intelligence, Machine learning, Aviation, Systems engineering and Sensor fusion.
Dimitri N. Mavris interconnects Shape optimization and Nonparametric statistics in the investigation of issues within Artificial intelligence.
His study looks at the relationship between Machine learning and topics such as Commercial aviation, which overlap with Quality assurance and Identification.
The concepts of his Aviation study are interwoven with issues in Noise control, Decision support system and Class.
Dimitri N. Mavris has researched Systems engineering in several fields, including Propulsion, Certification, Multi-objective optimization, Bayesian probability and Conceptual design.
Within one scientific family, Dimitri N. Mavris focuses on topics pertaining to Computer experiment under Sensor fusion, and may sometimes address concerns connected to Algorithm and Airfoil.
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