Raffi Codilian

What is he best known for?

The fields of study he is best known for:

• Electrical engineering
• Operating system
• Mechanical engineering

His primary areas of study are Computer hardware, Track, Control theory, Servo and Vibration. His Data transmission study, which is part of a larger body of work in Computer hardware, is frequently linked to Network block device, bridging the gap between disciplines. His work deals with themes such as Window and Disk controller, which intersect with Track.

His Control theory research is multidisciplinary, incorporating perspectives in Host and Computer data storage. His Servo study integrates concerns from other disciplines, such as Acoustics, Hard disk drive performance characteristics, Head and Pitch tracking. The various areas that he examines in his Vibration study include Servo drive, Latency and Access time.

His most cited work include:

• Disk drive with calibration bursts that are recorded on a spiral and method of recording the same (193 citations)
• Method for setting a power operating mode transition interval of a disk drive in a mobile device based on application category (169 citations)
• Disk drive for optimizing write current settings relative to drive operating characteristics and ambient temperature readings (168 citations)

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

His scientific interests lie mostly in Control theory, Servo, Computer hardware, Track and Acoustics. Raffi Codilian has researched Control theory in several fields, including Transducer, Head and Electromagnetic coil. His research integrates issues of Rotary actuator and Stack in his study of Head.

His Wedge research extends to Servo, which is thematically connected. His Computer hardware research focuses on subjects like Mobile device, which are linked to Terminal. His studies deal with areas such as Hard disk drive performance characteristics, Spiral, Computer data storage and Data loss as well as Track.

He most often published in these fields:

• Control theory (53.93%)
• Servo (31.46%)
• Computer hardware (30.34%)

What were the highlights of his more recent work (between 2002-2010)?

• Control theory (53.93%)
• Computer hardware (30.34%)
• Track (29.21%)

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

His main research concerns Control theory, Computer hardware, Track, Acoustics and Disk controller. His studies in Control theory integrate themes in fields like Mechanical engineering, Latency, Access time and Electromagnetic coil. His study in the field of Microprocessor is also linked to topics like Spins.

His Track study combines topics from a wide range of disciplines, such as Disk formatting, Disk array controller, Logical disk, Disk sector and Disk mirroring. His research on Acoustics frequently links to adjacent areas such as Servo. In general Servo, his work in Position error signal is often linked to Value linking many areas of study.

Between 2002 and 2010, his most popular works were:

• Disk drive performing multi-level prioritization of entries in a suspect sector list to identify and relocate defective data sectors (133 citations)
• Disk drive employing a modified rotational position optimization algorithm to account for external vibrations (130 citations)
• Method of manufacturing and disk drive produced by measuring the read and write widths and varying the track pitch in the servo-writer (128 citations)

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

• Electrical engineering
• Operating system
• Mechanical engineering

His primary scientific interests are in Track, Computer hardware, Head, Disk controller and Real-time computing. His Track study integrates concerns from other disciplines, such as Disk array controller, Disk mirroring and Disk sector. His Head research incorporates elements of Acoustics, Hard disk drive performance characteristics, Servo and Pitch tracking.

His research in the fields of Logical disk overlaps with other disciplines such as Prioritization and Suspect. His work on Real-time computing is being expanded to include thematically relevant topics such as Data segment.