He died on March 7, 2013 in Toronto, Ontario, Canada. Max Ferguson Ph.D. Student, Civil and Environmental Engineering E-mail: maxferg@stanford.edu. E-mail: pparigi@stanford.edu. Grad Student, Max Ferguson, was recognized for the Achievement of Best Paper at the 2016 IEEE Big Data Conference in Washington, D.C. on December 7, 2016. Research website for work at Stanford University. Ferguson is advised by Professor Kincho Law. Law, Kincho H. Sort by citations Sort by year Sort by title. 2018. Ferguson is advised by Professor Kincho Law. Cloud computing database structural health monitoring. Raunak Bhinge, Raunak Bhinge Infinite Uptime, Inc., Berkeley, CA . Ferguson is advised by Professor Kincho Law. The Region-based Detector returns the class of the defect, as well as the fine-tuned bounding box coordinates. Kai Wang, Shenzhen Institute of Advanced Technology. Ferguson, Max, and Kincho Law. If you entered the URL manually, please check your spelling and try again. Max Ferguson was born on the 10th February 1924, in Crook, Durham, England, the second son of William George (George) Ferguson and Isabella Frances (Isabel) née Finnegan. Seongwoon Jeong Ph.D. Student, Civil and Environmental Engineering E-mail: swjeong3@stanford.edu. "A 2D-3D Object Detection System for Updating Building Information Models with Mobile Robots." Max has 3 jobs listed on their profile. Images are scaled to 600 ‪Stanford University‬ - ‪Cited by 141‬ - ‪Artificial Intelligence‬ - ‪Machine Learning‬ - ‪Manufacturing‬ "A Generalized Method for Featurization of Manufacturing Signals, With Application to Tool Condition Monitoring." Ferguson, Max Department of Civil and Environmental Engineering, Stanford University, Stanford, CA. Research Overview Observed Problem: Having an accessible and constantly-updated digital model of a facility or construction site could lead to significant improvements in safety, energy efficiency and worker productivity. "Worksite Object Characterization for Automatically Updating Building Information Models. AI for Machining, Assembly/Process Control and Optimization AI Enabled Manufacturing for Those Who Make … His research has focused on southern Africa (especially Lesotho, Zambia, South Africa, and Namibia), and has engaged a broad range of theoretical and ethnographic issues. 2019. In the last decade, the number of satellites orbiting the earth has increased significantly and high-resolution satellite imagery has become more accessible and affordable. The Pacific Earthquake Engineering Research (PEER) Center organized the first image-based structural damage recognition competition, namely PEER Hub ImageNet (PHI) Challenge, which was held at the end of … All content in this area was uploaded by Max Ferguson on Nov 27, 2018 . In this project, we aim to leverage recent advances in computer vision to create a system for automatic detection of casting defects. Search for other works by this author on: This Site. Exhibitions New Wave Me, Upcoming My London, 2019 Peckham 24, 2019 Construction, 2019 He previously taught for many years at the University of California, Irvine. A significant research Follow. IEEE Winter Conference on Applications of Computer Vision (WACV). [Paper]. The Offices of the Provost, the Dean of Humanities and Sciences, and the Dean of Research, Stanford University The SEP Library Fund: containing contributions from the National Endowment for the Humanities and the membership dues of academic and research libraries that … IEEE Winter Conference on Applications of Computer Vision (WACV). Palo Alto, CA. His paper was entitled, Evaluation of a PMML-Based GPR Scoring Engine on a Cloud Platform and Microcomputer Board for Smart Manufacturing. Stanford ENGINEERING Mentor: Ahmadreza Momeni Improving Mobile Robot Navigation with Deep Neural Robot Control JUNË.. 1891 Max Ferguson CS230 Deep Learning Navigation and Control with Deep Reinforcement Learning Introduction We propose a new method which combines Google Scholar. Max Ferguson. Nonlinear response history analysis is used to … Max Ferguson - Research. Max Ferguson from Christchurch completed a Master of Science degree in Civil Engineering, specialising in structural and geotechnical engineering, at Stanford University. At the same … lifeline when things got tough. Seongwoon Jeong, Seongwoon Jeong Stanford University, Max Ferguson 1 , Yung-Tsun Tina Lee 2 , Anantha Narayanan 3 , Kincho H Law 1 Affiliations 1 Civil and Environmental Engineering, Stanford University, Y2E2 Building, 473 Via Ortega, Stanford, CA 94305, USA. 1 Max Ferguson is with Department of Civil and Environmen-tal Engineering, Stanford University, Stanford, CA 94305, USA maxferg@stanford.edu 2 Kincho H. Law is with the Faculty of the Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA law@stanford… Robb Report Eye-popping, exciting, serious, and challenging. Fine tuning & feature … Content may be subject to copyright. Computer Vision Natural Language Processing Machine Learning … First Place- Tokyo Electric Power Services Co., Ltd. - Yukio … 25 Stanford. Articles Cited by Co-authors. Project Team: Kincho Law, Max Ferguson. Stanford University. PubMed. Seongwoon Jeong. Max Ferguson, maxkferg@stanford.edu, Amory Martin, amorym@stanford.edu Department of Civil & Environmental Engineering, Stanford University CS 229 Machine Learning - Final Project December 12, 2015 Abstract A classi cation algorithm is developed for evaluating the damage state of buildings subjected to earthquakes. Han Zou, UC Berkeley. Stanford University. Google Scholar. Follow. However, for robots and autonomous systems to operate in effectively in … Max Ferguson Stanford University maxferg@stanford.edu Kincho Law Stanford University law@stanford.edu Abstract Automation in facility management and construction Update npm and node. View Max Ferguson’s profile on LinkedIn, the world's largest professional community. Follow. Verified email at stanford.edu. View the profiles of professionals named "Max Ferguson" on LinkedIn. Max Ferguson was born on February 10, 1924 in Durham, England. Max Ferguson Stanford University, Stanford, CA. In this project, we aim to leverage recent advances in computer vision to create a system for automatic detection of casting defects. Cited by. A pair of Tennessee baseball sophomores — second baseman Max Ferguson and catcher Connor Pavolony — were named Monday to D1Baseball.com's Preseason All-America Team. Search for other works by this author on: This Site. The page you requested cannot be found. You may have used an out-dated link or typed the address (URL) incorrectly. Automatic Localization of Casting Defects. M. Ferguson1, R. Bhinge2, J. Park3, Y. T. Lee4, and K. H. Law1 Abstract With recent advances in sensor and computing technology, it is now possible to use real-time machine learning techniques to monitor the state of manufacturing machines. Start by cloning this repository and downloading the GDXray dataset. S Jeong, R … We use the ResNet-101 convolutional neural network to generate a featurized representation of input images. The input image can have any size, but we choose to resize the image to have a maximum side length of 600 px. Romie-O and Julie-8 (1979). Training on GDXray Casting Set # Python 3.6 python gdxray.py \ --dataset= … Max Ferguson, Stanford University; Zac Yang, Solutions Engineering, Orbital Insight; Vica Bogaerts, World Bank, USA; Description. 27 Methodology • Transfer Learning ResNet [He et al., 2015] Shetland sheepdog Tiger cat Steel arch bridge conv2_x 3x3 conv, 64 conv3_x 3x3 conv, 128 conv4_x conv1 l 3x3 conv, 256 conv2_x 3x3 conv, 64 conv3_x 3x3 conv, 128 conv4_x 3x3 conv, 256 conv5_x conv1 l 3x3 conv, 512 0 3. Ferguson, Max, and Kincho Law. M. Ferguson, R. Ak, S. Jeong and K. H. Law, "Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning", Smart and Sustainable Manufacturing Systems. Research Scientist, Facebook AI. These featurized images are passed into a Region Proposal Network, which selects 300 regions in the image that might contain defects. Friday 29 November, 11:00 – 12:30, Nicolae Balcescu Room . "Worksite Object Characterization for Automatically Updating Building Information Models. Then: Automatic Localization of Casting Defects using Convolutional Neural Networks Leticia Rosa dos Santos Cordeiro Ph.D. Student, Civil and Environmental Engineering E-mail: lrsc@stanford.edu. Update npm and node. Kincho H. Law, Kincho H. Law Stanford University, Stanford, CA. Professor, Anthropology James Ferguson is the Susan S. and William H. Hindle Professor in the School of Humanities and Sciences, and Professor in the Department of Anthropology. Research website for work at Stanford University. In this role he works with faculty and colleagues to advance the School's corporate partnership programs, build long-term relationships with companies, and increase the flow of industry support to the School through gifts, affiliate memberships, and sponsored research. 2019. Quick Start. Vivian Wen Hui Wong (Stanford University), Max Ferguson (Stanford University), Kincho H. Law (Stanford University), Yung-Tsun Tina Lee (National Institute of Standards and Technology (NIST)) and Paul Witherell (National Institute of Standards and Technology (NIST)). Max Ferguson (2) INF - CAREER HIGHS Runs Scored: 2 (5x) // last vs. Houston, 2/22/20 Hits: 2 (9x) // last vs. ETSU, 3/10/20 Doubles: 1 (3x) // last technique is applied to artificially increase the size of the Vivian Wen Hui Wong (Stanford University), Max Ferguson (Stanford University), Kincho H. Law (Stanford University), Yung-Tsun Tina Lee (National Institute of Standards and Technology (NIST)) and Paul Witherell (National Institute of Standards and Technology (NIST)) 10:45-11:05 AI for Machining, Assembly/Process Control and Optimization Part I AI Enabled … images horizontally at training time. Stanford University, +2 more. 2018 PEER Blind Prediction Contest Winning Teams and Individuals. Computer Science Category - Kar98K; Jianfei Yang, Nanyang Technological University. A grid of anchors. Quietly contemplative in the tradition of Hopper, but has a mysterious edge that is Ferguson's alone. Join Facebook to connect with Max Ferguson and others you may know. Stanford University, +1 more. Max Ferguson Engineering Informatics Group Civil and Environmental Engineering Stanford University Stanford, United States maxferg@stanford.edu Ronay Ak Systems Integration Division National Institute of Standards and Technology (NIST) Gaithersburg, United States ronay.ak@nist.gov Yung-Tsun Tina Lee Systems Integration Division National Institute of … Automation in construction and facility management could significantly improve efficiency and productivity throughout the lifecycle of modern facilities. The output of the defect detection system. Connor Pavolony and Max Ferguson – UT Baseball / Credit: UT Athletics. Max Ferguson, Stanford. A pair of Tennessee baseball sophomores — second baseman Max Ferguson and catcher Connor Pavolony — were named Monday to D1Baseball.com's Preseason All-America Team. Max Ferguson Stanford University, Stanford, CA. Max Ferguson Stanford University Verified email at stanford.edu. Max Ferguson from Christchurch completed a Master of Science degree in Civil Engineering, specialising in structural and geotechnical engineering, at Stanford University. M. Ferguson, R. Ak, Y. T. Tina Lee, K. H. Law Quick Start. Transfer l r 4 4. 2018. However, making accurate predictions from raw sensor data is still a difficult challenge. Title. Then: Publications Port Magazine Splash & Grab Financial Times Magazine Financial Times Life & Arts Photoworks How To Spend It TenTen British Journal of Photography Huck. The output is a list of bounding box coordinates. The input to the system is a three-dimensional array of image pixels, in RGB. Max Ferguson whistling for owls; art direction; words; about; splash & grab . Max Ferguson Research Assistant at Stanford University. Verified email at stanford.edu. The proposed defect detection system is based on the Mask R-CNN architecture [1]. Search for other works by this author on: This Site. Peng (Patrick) Sun Assistant Professor, CECE Department, University of Central Florida Verified email at ucf.edu. Articles Cited by Co-authors. 1 GAUSSIAN PROCESS REGRESSION (GPR) REPRESENTATION IN PREDICTIVE MODEL MARKUP LANGUAGE (PMML) Jinkyoo Park1, David Lechevalier2, Ronay Ak3, Max Ferguson4, Kincho Law4, Yung-Tsun Tina Lee3, and Sudarsan Rachuri5 Abstract: This paper describes Gaussian Process Regression (GPR) models presented in Predictive Model Markup Language (PMML). PubMed. Cited by. Grad Student, Max Ferguson, was recognized for the Achievement of Best Paper at the 2016 IEEE Big Data Conference in Washington, D.C. on December 7, 2016. His paper was entitled, Evaluation of a PMML-Based GPR Scoring Engine on a Cloud Platform and Microcomputer Board for Smart Manufacturing. Sort. training dataset. Proceedings of the ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference . Seongwoon Jeong, Seongwoon Jeong Stanford University, Stanford, CA. “My preference is to work from life,” he writes. Vivian Wen Hui Wong (Stanford University), Max Ferguson (Stanford University), Kincho H. Law (Stanford University), Yung-Tsun Tina Lee (National Institute of Standards and Technology (NIST)) and Paul Witherell (National Institute of Standards and Technology (NIST)). Faculty, Research Associates and Staff; Post-Docs and Research Students; Visiting Professors and Researchers We demonstrate that the system can be used to detect defects in a range of other defects in metal materials. School of Earth, Energy and Environmental Sciences, Freeman Spogli Institute for International Studies, Institute for Computational and Mathematical Engineering (ICME), Institute for Human-Centered Artificial Intelligence (HAI), Institute for Stem Cell Biology and Regenerative Medicine, Stanford Institute for Economic Policy Research (SIEPR), Stanford Woods Institute for the Environment, Office of VP for University Human Resources, Office of Vice President for Business Affairs and Chief Financial Officer. Google Scholar. Having an accessible and constantly-updated digital model of a facility or construction site could lead to significant improvements in safety, energy efficiency and worker productivity. Ferguson, M, Law, KH, Bhinge, R, & Lee, YT. Max Ferguson is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). Occasionally, when sensors become … Each anchor is evaluated by the Region Proposal Network to determine if it is likely to contain a casting defect. "A 2D-3D Object Detection System for Updating Building Information Models with Mobile Robots." Zhaoyang Zeng, Sun Yat-sen University. Max Ferguson Stanford University Stanford, CA, USA Kincho H. Law Stanford University Stanford, CA, USA Raunak Bhinge Infinite Uptime, Inc. Berkeley, CA, USA Yung-Tsun Tina Lee National Institute of Standards and Technology (NIST) Gaithersburg, MD, USA ABSTRACT The application of machine learning techniques in the manufacturing sector provides Structural Engineering & Geomechanics PhD's Seongwoon Jeong and Max Ferguson (Stanford EIG) won the PHI Challenge in the Engineering Category. from the GDXray Castings dataset. 3 Viterbi School of Engineering, University of … Next install the required packages: conda env create -f … Max Ferguson. echoes of a change three small pebbles everything must decay. Additionally, we randomly flip the Cloud computing database structural health monitoring. 2 Systems Integration Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD 20899, USA. info@max-ferguson.co.uk Instagram: @maxferguson. 1 GAUSSIAN PROCESS REGRESSION (GPR) REPRESENTATION IN PREDICTIVE MODEL MARKUP LANGUAGE (PMML) Jinkyoo Park1, David Lechevalier2, Ronay Ak3, Max Ferguson4, Kincho Law4, Yung-Tsun Tina Lee3, and Sudarsan Rachuri5 Abstract: This paper describes Gaussian Process Regression (GPR) models presented in Predictive Model Markup Language (PMML). Max Ferguson Stanford University Verified email at stanford.edu. Max Ferguson Stanford University, Stanford, CA. Ferguson, ... No. Google Scholar. Rui Hou. August dreams: three young hawks rise and fall. Mobile robot navigation using stochastic neural control in (a) … Max Ferguson, Actor: Hulk. Current Role at StanfordJeff Gordon is the Associate Director of Corporate Relations in Stanford’s School of Engineering. Installation . In this case, the model returns the coordinates of three bounding boxes containing defects. Max Ferguson. Alumni: Dr. Jinkyoo Park Assistant … M. Ferguson, R. Ak, S. Jeong and K. H. Law, "Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning", Smart and Sustainable Manufacturing Systems. This data augmentation Wentao Wang University of Michigan Verified email at umich.edu. In this paper, we describe how a data processing … PubMed. He was an actor and writer, known for Hulk (1966), Folio (1955) and Runaway Robots! preprocessing to the images at training or testing time. Stanford EIG Seongwoon Jeong Max Ferguson. Seongwoon Jeong. Narayanan, Anantha Viterbi School of Engineering, University of Southern California, Los Angeles, CA. View the profiles of people named Max Ferguson. Max Ferguson Department of Civil and Environmental Engineering Stanford University Stanford, CA, United States Email: maxferg@stanford.edu Abstract—In recent times, there has been a large amount of excitement surrounding the use of reinforcement learning systems for robot control and navigation. 1. James Ferguson is the Susan S. and William H. Hindle Professor in the School of Humanities and Sciences, and Professor in the Department of Anthropology. Max Ferguson - Research. Manufacturing Automated Inspection Dynamic Spatial Models. A significant research effort has been directed at the problem of visual … 1 Max Ferguson is with Department of Civil and Environmen-tal Engineering, Stanford University, Stanford, CA 94305, USA maxferg@stanford.edu 2 Kincho H. Law is with the Faculty of the Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA law@stanford.edu Fig. AI for Machining, Assembly/Process Control and Optimization AI Enabled Manufacturing for Those Who Make … The site facilitates research and collaboration in academic endeavors. Getting Started . Max graduated with a BE (Hons) from the University of Canterbury in 2013. His paper was entitled, Evaluation of a PMML-Based GPR Scoring Engine on a Cloud Platform and Microcomputer Board for Smart Manufacturing. Start by cloning this repository and downloading the GDXray dataset. Max Ferguson Promoting open and free access to computer technologies Palo Alto, California, United States 440 connections Inspired by Edward Hopper, 17th-century Dutch genre painting, and the Old Masters, he produces studied paintings in oil or watercolor on canvas or wooden panel, which take two-to-four months to complete. Google Scholar. Kincho H. Law, Kincho H. Law Stanford University, Stanford, CA. Search for other works by this author on: This Site. Search for other works by this author on: This Site. pixels on the shorter edge. Search for other works by this author on: … There are 40+ professionals named "Max Ferguson", who use LinkedIn to exchange information, ideas, and opportunities. Verified email at fb.com. Title. Search for other works by this author … Max Ferguson Department of Civil and Environmental Engineering Stanford University Stanford, CA, United States Email: maxferg@stanford.edu Abstract—In recent times, there has been a large amount of excitement surrounding the use of reinforcement learning systems for robot control and navigation. PubMed. Manufacturing Automated Inspection Dynamic Spatial Models. We train and test the Faster R-CNN model using the images We do not apply any other form of Stanford ENGINEERING Mentor: Ahmadreza Momeni Improving Mobile Robot Navigation with Deep Neural Robot Control JUNË.. 1891 Max Ferguson CS230 Deep Learning Navigation and Control with Deep Reinforcement Learning Introduction We propose a new method which combines reinforcement learning with traditional search- based path-planning, to solve long … [2] In 1926, with Max barely past his second birthday, the Ferguson family emigrated to Canada, departing from Cobh, Ireland on the 22nd May aboard the Minnedosa , and arriving in Montreal, Quebec on the 29th. While recent advances in machine learning have made such a system feasible, the interactions between people and an … KNOXVILLE, Tenn. – Tennessee’s sophomore duo of Max Ferguson and Connor Pavolony earned preseason All-America honors by D1Baseball.com on Monday. Max graduated with a BE (Hons) from the University of Canterbury in 2013. Ferguson was tabbed a first-team selection at second base while Pavolony garnered second-team honors at catcher. Seongwoon Jeong*, Max Ferguson, Kincho H. Law Department of Civil and Environmental Engineering, Stanford University Stanford, CA 94305, USA ABSTRACT With advances in sensing and communication technologies, engineering systems are now commonly instrumented with sensors for system monitoring and management. Each of these regions are analyzed using a separate Region-based Detector. New York City-born realist painter Max Ferguson focuses on the people, places, and urban scenes of his hometown. I am ‘grateful as’ to my fellow Stanford Kiwis (and co.), for sharing in regular celebrations of New Zealand culture and for continuing to expose me to refreshing renditions of the New Zealand accent long after I lost my own: Thil Arachchi, Sam Corbett-Davies, Max Ferguson… Lee, Yung-Tsun Tina Systems Integration Division, National Institute of Standards and Technology, Gaithersburg, MD. Max Ferguson Stanford University Verified email at stanford.edu. Facilitating Dynamic Building Information Models with Mobile Robots. Year; An information modeling framework for bridge monitoring. Max Ferguson, maxkferg@stanford.edu, Amory Martin, amorym@stanford.edu Department of Civil & Environmental Engineering, Stanford University CS 229 Machine Learning - Final Project December 12, 2015 Abstract A classi cation algorithm is developed for evaluating the damage state of buildings subjected to earthquakes. Grad Student, Max Ferguson, was recognized for the Achievement of Best Paper at the 2016 IEEE Big Data Conference in Washington, D.C. on December 7, 2016. Ferguson, Max, Seongwoon Jeong, and Kincho H. Law. Ferguson, Max, Seongwoon Jeong, and Kincho H. Law. Kincho Law, Max Ferguson. PubMed. vwwong3@stanford.edu Max Ferguson Engineering Informatics Group Civil and Environmental Engineering Stanford University Stanford, United States maxferg@stanford.edu Kincho H. 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