Dr. Atindra K. Mitra Profile

Dr. Atindra K. Mitra

Electronics Engineer

SPIE Involvement:

Author

Publications (30)

Proceedings Article | 21 June 2011 Paper

PADF RF localization criteria for multimodel scattering environments

Miguel Gates, Christopher Barber, Rastko Selmic, Huthaifa Al-Issa, Raul Ordonez, Atindra Mitra

Proceedings Volume 8021, 80210W (2011) https://doi.org/10.1117/12.879760

KEYWORDS: Sensors, Error analysis, Sensor networks, Scattering, Received signal strength, IRIS Consortium, MATLAB, Robotics, Receivers, Transmitters

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Proceedings Article | 20 May 2011 Paper

PADF RF localization experiments with multi-agent caged-MAV platforms

Christopher Barber, Miguel Gates, Rastko Selmic, Huthaifa Al-Issa, Raul Ordonez, Atindra Mitra

Proceedings Volume 8059, 805903 (2011) https://doi.org/10.1117/12.879849

KEYWORDS: Sensors, Sensor networks, Error analysis, Cameras, Unmanned aerial vehicles, Micro unmanned aerial vehicles, Control systems, IRIS Consortium, Antennas, Data acquisition

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This paper provides a summary of preliminary RF direction finding results generated within an AFOSR funded testbed facility recently developed at Louisiana Tech University. This facility, denoted as the Louisiana Tech University Micro- Aerial Vehicle/Wireless Sensor Network (MAVSeN) Laboratory, has recently acquired a number of state-of-the-art MAV platforms that enable us to analyze, design, and test some of our recent results in the area of multiplatform position-adaptive direction finding (PADF) [1] [2] for localization of RF emitters in challenging embedded multipath environments. Discussions within the segmented sections of this paper include a description of the MAVSeN Laboratory and the preliminary results from the implementation of mobile platforms with the PADF algorithm. This novel approach to multi-platform RF direction finding is based on the investigation of iterative path-loss based (i.e. path loss exponent) metrics estimates that are measured across multiple platforms in order to develop a control law that robotically/intelligently positionally adapt (i.e. self-adjust) the location of each distributed/cooperative platform. The body of this paper provides a summary of our recent results on PADF and includes a discussion on state-of-the-art Sensor Mote Technologies as applied towards the development of sensor-integrated caged-MAV platform for PADF applications. Also, a discussion of recent experimental results that incorporate sample approaches to real-time singleplatform data pruning is included as part of a discussion on potential approaches to refining a basic PADF technique in order to integrate and perform distributed self-sensitivity and self-consistency analysis as part of a PADF technique with distributed robotic/intelligent features. These techniques are extracted in analytical form from a parallel study denoted as "PADF RF Localization Criteria for Multi-Model Scattering Environments". The focus here is on developing and reporting specific approaches to self-sensitivity and self-consistency within this experimental PADF framework via the exploitation of specific single-agent caged-MAV trajectories that are unique to this experiment set.

Proceedings Article | 20 May 2011 Paper

Modeling decision uncertainties in total situation awareness using cloud computation theory

Saleh Zein-Sabatto, Abdulqadir Khoshnaw, Sachin Shetty, Mohan Malkani, Atindra Mitra

Proceedings Volume 8059, 80590E (2011) https://doi.org/10.1117/12.886968

KEYWORDS: Clouds, Information security, Data modeling, Probability theory, Mathematical modeling, Fuzzy logic, 3D modeling, Sensors, Data processing, Computer security

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Proceedings Article | 13 May 2010 Paper

Unmanned vehicle technology for networked non-line-of-sight sensing applications

Miguel Gates, Gary Pepper, Atindra Mitra, Colin Hu, Saleh Zein-Sabatto, Tamara Rogers, Rastko Selmic, Elrasheed Hamdan, Mohan Malkani

Proceedings Volume 7694, 76940V (2010) https://doi.org/10.1117/12.844891

KEYWORDS: Sensors, Unmanned aerial vehicles, Cameras, Robotics, Sensor networks, Video, Visualization, Prototyping, Surveillance, Interfaces

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We discuss the development, design, implementation, and demonstration of a robotic UGV (Unmanned Ground Vehicle) system for networked and non-line-of-sight sensing applications. Our development team is comprised of AFRL Summer Interns, University Faculty, and Personnel from AFRL. The system concept is based on a previously published technique known as "Dual-UAV Tandems for Indirect Operator-Assisted Control" [1]. This architecture is based on simulating a Mini-UAV Helicopter with a building-mounted camera and simulating a low-flying QuadRotor Helicopter with a Robotics UGV. The Robotics UGV is fitted with a custom-designed sensor boom and a surrogate chem/bio (Carbon Monoxide) PCB sensor extracted from a COTS (Commercial-Off-The-Shelf) product. The CO Sensor apparatus is co-designed with the sensor boom and is fitted with a transparent covering for protection and to promote CO (surrogate chem/bio) flow onto the sensor. The philosophy behind this non-line-of-sight system is to relay video of the UGV to an Operator station for purposes of investigating "Indirect Operator-Assisted Control" of the UGV via observation of the relayed EO video at the operator station. This would serve as a sensor fusion, giving the operator visual cues of the chemical under detection, enabling him to position the UGV in areas of higher concentration. We recorded this data, and analyzed the best approach given a test matrix of multiple scenarios, with the goal of determining the feasibility of using this layered sensing approach and the system accuracy in open field tests. For purposes of collecting scientific data with this system, we developed a Test (data collection) Matrix with following three parameters: 1. Chem/Bio detection level with side-looking sensor boom and slowly traversing UGV; 2. Chem/Bio detection level with panning sensor boom and slowly traversing UGV; 3. Chem/Bio detection level with forward-looking sensor boom and operator-assisted steering based on onboard wind vane readings of UGV display that is overlayed onto relayed video. In addition to reporting the trends and results of analysis with regard to data collected with this Test Matrix, we discuss potential approaches to upgrading our networked robotics UGV system and also introduce the concept of "swapping sensors" with this low-cost networked sensor concept.

Proceedings Article | 27 April 2010 Paper

Antenna analysis using properties of metamaterials

Atindra Mitra, Colin Hu, Kasandra Maxwell

Proceedings Volume 7669, 76690O (2010) https://doi.org/10.1117/12.849278

KEYWORDS: Antennas, Metamaterials, Fractal analysis, Dielectrics, Analytical research, Statistical analysis, Photonic crystals, Electromagnetism, Radiation effects, Internships

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Proceedings Article | 27 April 2010 Paper

Channel-warped impulse propagation functions

Atindra Mitra

Proceedings Volume 7669, 76690K (2010) https://doi.org/10.1117/12.849364

KEYWORDS: Radar, Synthetic aperture radar, Environmental sensing, Wave propagation, Compressed sensing, Carbon nanotubes, Antennas, Radio propagation, Dielectrics, Receivers

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Proceedings Article | 27 April 2010 Paper

Layered sensing with radio (LSWR)

Atindra Mitra

Proceedings Volume 7669, 76690J (2010) https://doi.org/10.1117/12.848969

KEYWORDS: Satellites, Sensors, Satellite communications, Antennas, Commercial off the shelf technology, Sensing systems, Sensor technology, Receivers, Video, Signal detection

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Proceedings Article | 15 April 2010 Paper

Sensor agnostics for networked MAV applications

Atindra Mitra, Miguel Gates, Chris Barber, Thomas Goodwin, Rastko Selmic, Raul Ordonez, Ali Sekman, Mohan Malkani

Proceedings Volume 7704, 77040R (2010) https://doi.org/10.1117/12.850379

KEYWORDS: Sensors, Sensor networks, Micro unmanned aerial vehicles, Sensor technology, Satellites, Unmanned aerial vehicles, Signal detection, Control systems, Network architectures, Video

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Proceedings Article | 5 May 2009 Paper

Distributed sensor concepts for perimeter surveillance and vehicle classification

Tamara Rogers, Amir Shirkhodaie, Atindra Mitra, Fred Johnson, Chico Foxx, Sean Young, LaMar Westbrook, Tony Marrs, Tom Lewis, Saleh Zein-Sabatto, Fenghui Yao, Mohan Malkani, Haroun Rababaah, James Leonard, Cheutaunia Johnson

Proceedings Volume 7305, 73050A (2009) https://doi.org/10.1117/12.817623

KEYWORDS: Sensors, Radar, Surveillance, Cameras, Feature extraction, Acoustics, Surveillance systems, Image segmentation, Image classification, Neural networks

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Proceedings Article | 30 April 2009 Paper

Coupled sensor/platform control design for low-level chemical detection with position-adaptive micro-UAVs

Thomas Goodwin, Ryan Carr, Atindra Mitra, Rastko Selmic

Proceedings Volume 7347, 734710 (2009) https://doi.org/10.1117/12.815253

KEYWORDS: Sensors, Micro unmanned aerial vehicles, Unmanned aerial vehicles, Algorithm development, Chemical fiber sensors, Fluctuations and noise, Sensor networks, Cameras, LabVIEW, Carbon monoxide

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We discuss the development of Position-Adaptive Sensors [1] for purposes for detecting embedded chemical substances in challenging environments. This concept is a generalization of patented Position-Adaptive Radar Concepts developed at AFRL for challenging conditions such as urban environments. For purposes of investigating the detection of chemical substances using multiple MAV (Micro-UAV) platforms, we have designed and implemented an experimental testbed with sample structures such as wooden carts that contain controlled leakage points. Under this general concept, some of the members of a MAV swarm can serve as external position-adaptive "transmitters" by blowing air over the cart and some of the members of a MAV swarm can serve as external position-adaptive "receivers" that are equipped with chemical or biological (chem/bio) sensors that function as "electronic noses". The objective can be defined as improving the particle count of chem/bio concentrations that impinge on a MAV-based position-adaptive sensor that surrounds a chemical repository, such as a cart, via the development of intelligent position-adaptive control algorithms. The overall effect is to improve the detection and false-alarm statistics of the overall system. Within the major sections of this paper, we discuss a number of different aspects of developing our initial MAV-Based Sensor Testbed. This testbed includes blowers to simulate position-adaptive excitations and a MAV from Draganfly Innovations Inc. with stable design modifications to accommodate our chem/bio sensor boom design. We include details with respect to several critical phases of the development effort including development of the wireless sensor network and experimental apparatus, development of the stable sensor boom for the MAV, integration of chem/bio sensors and sensor node onto the MAV and boom, development of position-adaptive control algorithms and initial tests at IDCAST (Institute for the Development and Commercialization of Advanced Sensor Technologies), and autonomous positionadaptive chem/bio tests and demos in the MAV Lab at AFRL Air Vehicles Directorate. For this particular MAV implementation of chem/bio sensors, we selected miniature Methane, Nitrogen Dioxide, and Carbon Monoxide sensors. To safely simulate the behavior of chem/bio substances in our laboratory environment, we used either cigarette smoke or incense. We present a set of concise parametric results along with visual demonstration of our new position-adaptive sensor capability. Two types of experiments were conducted: with sensor nodes screening the chemical contaminant (cigarette smoke or incense) without MAVs, and with a sensor node integrated with the MAV. It was shown that the MOS-based chemical sensors could be used for chemical leakage detection, as well as for position-adaptive sensors on air/ground vehicles as sniffers for chemical contaminants.

Proceedings Article | 29 April 2009 Paper

Multitone radar design using software radio components

Atindra Mitra

Proceedings Volume 7308, 73080N (2009) https://doi.org/10.1117/12.817394

KEYWORDS: Radar, Scattering, Orthogonal frequency division multiplexing, Telecommunications, RF communications, Software development, Receivers, Unmanned aerial vehicles, Fourier transforms, Solids

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Proceedings Article | 29 April 2009 Paper

Performance analysis of ultra-wideband antennas for microradar applications

Maysam Sarfaraz, Amir Shirkhodaie, Atindra Mitra

Proceedings Volume 7308, 73080M (2009) https://doi.org/10.1117/12.818950

KEYWORDS: Antennas, Telecommunications, Polarization, Analytical research, Electromagnetic radiation, Device simulation, Dielectrics, L band, Radar, Imaging systems

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Proceedings Article | 29 April 2009 Paper

Position-adaptive scatterer localization for radar imaging applications

Sean Young, Atindra Mitra, Tom Morton, Raul Ordonez

Proceedings Volume 7308, 730812 (2009) https://doi.org/10.1117/12.816589

KEYWORDS: Radar, Control systems, Scattering, Radar imaging, Objectives, Electromagnetism, Image processing, Computer simulations, Unmanned aerial vehicles, Electromagnetic simulation

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Proceedings Article | 16 April 2008 Paper

Integrated RF modules for cooperative UGV/UAV tandems

Atindra Mitra, Lamar Westbrook, Johnathan Corgan, Sean Young, Jogender Nagar, Tedros Bariagaber

Proceedings Volume 6962, 69621Y (2008) https://doi.org/10.1117/12.785258

KEYWORDS: Radar, Antennas, Sensors, Computer aided design, Unmanned aerial vehicles, Field programmable gate arrays, Explosives, Commercial off the shelf technology, Analytical research, Unmanned ground vehicles

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Proceedings Article | 15 April 2008 Paper

Ultra-wideband signal propagation experiments in liquid media

Shravan Challa, Atindra Mitra, Rastko Selmic, Neven Simicevic

Proceedings Volume 6947, 694705 (2008) https://doi.org/10.1117/12.779007

KEYWORDS: Antennas, Metals, Receivers, Liquids, Radio propagation, Transmission electron microscopy, Target detection, Detection and tracking algorithms, Transmitters, Free space

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Proceedings Article | 15 April 2008 Paper

Position-adaptive explosive detection concepts for swarming micro-UAVs

Rastko Selmic, Atindra Mitra

Proceedings Volume 6961, 696106 (2008) https://doi.org/10.1117/12.778997

KEYWORDS: Particles, Sensors, Explosives, Fluctuations and noise, Unmanned aerial vehicles, Explosives detection, Algorithm development, Actuators, Fluid dynamics, Computational fluid dynamics

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We have formulated a series of position-adaptive sensor concepts for explosive detection applications using swarms of micro-UAV's. These concepts are a generalization of position-adaptive radar concepts developed for challenging conditions such as urban environments. For radar applications, this concept is developed with platforms within a UAV swarm that spatially-adapt to signal leakage points on the perimeter of complex clutter environments to collect information on embedded objects-of-interest. The concept is generalized for additional sensors applications by, for example, considering a wooden cart that contains explosives. We can formulate system-of-systems concepts for a swarm of micro-UAV's in an effort to detect whether or not a given cart contains explosives. Under this new concept, some of the members of the UAV swarm can serve as position-adaptive "transmitters" by blowing air over the cart and some of the members of the UAV swarm can serve as position-adaptive "receivers" that are equipped with chem./bio sensors that function as "electronic noses". The final objective can be defined as improving the particle count for the explosives in the air that surrounds a cart via development of intelligent position-adaptive control algorithms in order to improve the detection and false-alarm statistics. We report on recent simulation results with regard to designing optimal sensor placement for explosive or other chemical agent detection. This type of information enables the development of intelligent control algorithms for UAV swarm applications and is intended for the design of future system-of-systems with adaptive intelligence for advanced surveillance of unknown regions. Results are reported as part of a parametric investigation where it is found that the probability of contaminant detection depends on the air flow that carries contaminant particles, geometry of the surrounding space, leakage areas, and other factors. We present a concept of position-adaptive detection (i.e. based on the example in the previous paragraph) consisting of position-adaptive fluid actuators (fans) and position-adaptive sensors. Based on these results, a preliminary analysis of sensor requirements for these fluid actuators and sensors is presented for small-UAVs in a field-enabled explosive detection environment. The computational fluid dynamics (CFD) simulation software Fluent is used to simulate the air flow in the corridor model containing a box with explosive particles. It is found that such flow is turbulent with Reynolds number greater than 106. Simulation methods and results are presented which show particle velocity and concentration distribution throughout the closed box. The results indicate that the CFD-based method can be used for other sensor placement and deployment optimization problems. These techniques and results can be applied towards the development of future system-of-system UAV swarms for defense, homeland defense, and security applications.

Proceedings Article | 7 May 2007 Paper

Exploitation of UAV trajectories with perturbation for intelligent circular SAR applications

Atindra Mitra, Thomas Lewis, LeRoy Willemsen

Proceedings Volume 6568, 656805 (2007) https://doi.org/10.1117/12.721443

KEYWORDS: Synthetic aperture radar, Unmanned aerial vehicles, Target detection, Radar, Image processing, Image acquisition, Algorithm development, Doppler effect, Device simulation, Analytical research

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Proceedings Article | 3 May 2007 Paper

Multipath data analysis and exploitation for the design of distributed radar systems

Atindra Mitra, Philip Robinson, James LaRue, John Glett

Proceedings Volume 6547, 65470J (2007) https://doi.org/10.1117/12.713943

KEYWORDS: Receivers, Radar, Distributed computing, Data analysis, Imaging systems, Transmitters, Radar imaging, Data modeling, Fourier transforms, Systems modeling

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Proceedings Article | 17 May 2006 Paper

Theoretical radar-Doppler models for pivoting mechanical and biological objects-of-interest

Atindra Mitra, Mike Kobold, Tom Lewis, Rob Williams

Proceedings Volume 6237, 623705 (2006) https://doi.org/10.1117/12.666565

KEYWORDS: Motion models, Radar, Doppler effect, Motion analysis, Biological research, Mathematical modeling, Systems modeling, Statistical modeling, Analytical research, Mechanical engineering

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Proceedings Article | 17 May 2006 Paper

An iterative approach for moving target detection and geolocation in SAR

Thomas Lewis, Atindra Mitra, Arnab Shaw

Proceedings Volume 6237, 62370W (2006) https://doi.org/10.1117/12.666560

KEYWORDS: Synthetic aperture radar, Target detection, Detection and tracking algorithms, Image processing, Doppler effect, Radar, Image resolution, Image analysis, Image filtering, Algorithm development

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Proceedings Article | 8 May 2006 Paper

Distributed position-adaptive UAV radar concepts for building geometries with multiple signal-leakage points

Atindra Mitra

Proceedings Volume 6210, 62100H (2006) https://doi.org/10.1117/12.663915

KEYWORDS: Unmanned aerial vehicles, Radar, Fractal analysis, Signal processing, Sensors, Receivers, Radar signal processing, Antennas, Computer simulations, Environmental sensing

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Proceedings Article | 19 May 2005 Paper

An iterative method for SAR moving target detection and geolocation for staring radar applications

Thomas Lewis, LeRoy Gorham, Atindra Mitra, Arnab Shaw

Proceedings Volume 5808, (2005) https://doi.org/10.1117/12.604683

KEYWORDS: Synthetic aperture radar, Target detection, Image processing, Radar, Doppler effect, Image filtering, Iterative methods, Detection and tracking algorithms, Image resolution, Image analysis

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Proceedings Article | 16 May 2005 Paper

Leakage signal analysis for position-adaptive UAV radar applications

Atindra Mitra

Proceedings Volume 5788, (2005) https://doi.org/10.1117/12.604015

KEYWORDS: Radar, Signal analysis, Unmanned aerial vehicles, Signal processing, Computer simulations, Electromagnetic scattering, Scattering, Algorithm development, Analytical research, Radar signal processing

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Proceedings Article | 2 September 2004 Paper

Ultrawideband radar target detection for sloped and diffuse scattering environments

Atindra Mitra, Thomas Lewis, James LaRue, Arnab Shaw

Proceedings Volume 5427, (2004) https://doi.org/10.1117/12.543844

KEYWORDS: Scattering, Synthetic aperture radar, Target detection, Radar, Device simulation, Detection and tracking algorithms, Computer simulations, Data modeling, Algorithm development, Statistical analysis

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Proceedings Article | 12 August 2004 Paper

Low-cost position-adaptive UAV radar design with state-of-the-art COTS technology

Atindra Mitra, Krishna Pasala

Proceedings Volume 5410, (2004) https://doi.org/10.1117/12.541063

KEYWORDS: Radar, Antennas, Signal processing, Radar signal processing, Unmanned aerial vehicles, Commercial off the shelf technology, Sensors, Process control, Signal attenuation, Intelligence systems

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Proceedings Article | 12 August 2004 Paper

Passive position-adaptive radar modes for non-LOS interrogation of embedded targets

Atindra Mitra

Proceedings Volume 5410, (2004) https://doi.org/10.1117/12.541065

KEYWORDS: Radar, Scattering, Unmanned aerial vehicles, Buildings, Statistical analysis, Electromagnetic simulation, Modulation, Systems modeling, Electromagnetism, Radio propagation

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Proceedings Article | 12 September 2003 Paper

Self-training algorithms for ultrawideband radar target detection

Atindra Mitra, Thomas Lewis, Anindya Paul, Arnab Shaw

Proceedings Volume 5095, (2003) https://doi.org/10.1117/12.484882

KEYWORDS: Detection and tracking algorithms, Synthetic aperture radar, Target detection, Algorithm development, Image segmentation, Computer simulations, Image filtering, Device simulation, Radar, UWB radar

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Proceedings Article | 1 August 2002 Paper

Ultrawideband radar data models and target detection with adaptive rank-order filters

Atindra Mitra, Thomas Lewis, Anindya Paul, Arnab Shaw

Proceedings Volume 4727, (2002) https://doi.org/10.1117/12.478671

KEYWORDS: Digital filtering, Target detection, Data modeling, Radar, Algorithm development, Detection and tracking algorithms, Image processing, Process modeling, Synthetic aperture radar, UWB radar

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Proceedings Article | 27 August 2001 Paper

Spectral analysis of high-frequency SAR data

Atindra Mitra, Thomas Lewis

Proceedings Volume 4382, (2001) https://doi.org/10.1117/12.438213

KEYWORDS: Phase measurement, Analytical research, Synthetic aperture radar, Target detection, Image resolution, Optical filters, Radar, Environmental sensing, Image filtering, Detection and tracking algorithms

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Proceedings Article | 1 January 1992 Paper

VLSI process expert diagnostic system

Michael Parten, Robert Tyson, Atindra Mitra, Jerry Lovelace

Proceedings Volume 1594, (1992) https://doi.org/10.1117/12.56627

KEYWORDS: Semiconducting wafers, Process control, Very large scale integration, Diagnostics, Failure analysis, Composites, Photomasks, Statistical analysis, Process engineering, Metrology

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Showing 5 of 30 publications

Conference Committee Involvement (3)

Radar Sensor Technology XV

25 April 2011 | Orlando, Florida, United States

Radar Sensor Technology XIV

5 April 2010 | Orlando, Florida, United States

Radar Sensor Technology XIII

13 April 2009 | Orlando, Florida, United States

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