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Alexander (Sandy) Pentland

◆ People. ◆ MIT. ◆ CI. ⚫ USA. ◥ University. {q} PhD. {t} Themes. {t} CI. Alex Pentland. Alex Paul "Sandy" Pentland (born 1952) is an American computer scientist, the Toshiba Professor at MIT, and serial entrepreneur. He is one of the most cited authors in computer science.[1] Biography[edit] Pentland received his B.A. from the University of Michigan and obtained his Ph.D. from MIT in 1981. He started as lecturer at Stanford University in both computer science and psychology, and joined the MIT faculty in 1986, where he became Academic Head of the Media Laboratory and received the Toshiba Chair in Media Arts and Sciences.

He co-leads both the Big Data and the Personal Data and Privacy initiatives of the World Economic Forum, serves on the boards of Telefónica, Motorola Mobility, and Nissan Motors, and previously co-founded and co-directed the Media Lab Asia laboratories at the Indian Institutes of Technology and Strong Hospital’s Center for Future Health Work[edit] Pentland's research focuses on social physics, big data, and privacy. References[edit] External links[edit] Alex (Sandy) Pentland - Honest Signals, Reality Mining, and Sensible Organizations. Click to see video Professor Alex "Sandy" Pentland directs the MIT Connection Science and Human Dynamics labs and previously helped create and direct the MIT Media Lab and the Media Lab Asia in India. He is one of the most-cited scientists in the world, and Forbes recently declared him one of the "7 most powerful data scientists in the world" along with Google founders and the Chief Technical Officer of the United States.

He has received numerous awards and prizes such as the McKinsey Award from Harvard Business Review, the 40th Anniversary of the Internet from DARPA, and the Brandeis Award for work in privacy. He is a founding member of advisory boards for Google, AT&T, Nissan, and the UN Secretary General, a serial entrepreneur who has co-founded more than a dozen companies including social enterprises such as the Data Transparency Lab, the Harvard-ODI-MIT DataPop Alliance and the Institute for Data Driven Design. He is a member of the U.S. Alex (Sandy) Pentland. Prof. Alex Paul Pentland Toshiba Professor of Media, Arts, and Sciences Massachusetts Institute of Technology Biography Professor Alex “” Pentland is a pioneer in computational social science, organizational engineering, and mobile information systems. He directs the MIT Human Dynamics Lab, developing computational social science and using this new science to guide organizational engineering.

He also directs the Media Lab Entrepreneurship Program, spinning off companies to bring MIT technologies into the real world. He is among the most-cited computer scientists in the world. InnerscopeCellBazaar UnTravel MediaWay Systems DimagiUnited VillagesVirage (merged with Autonomy AUTNF.PK) Vivo (merged with RealNetworks NYNEX:RNWK)Viisage (now NYSE:ID) Institutions Founded or Co-Founded Human Dynamics Lab, MIT MIT Media Lab Entrepreneurship Program Legatum Center for Development and Entrepreneurship, MIT Center for Future Health, University of Media Lab Asia, Dblp - Alex Pentland. Twitter - Alex Pentland (alex_pentland) Alex Pentland. In hmolscience, Alex Paul Pentland (1952-), commonly known as “Sandy”, is an American “computational social scientist, organizational engineer, and mobile information systems pioneer”, as he defines himself, noted for his 2000s to present work in the field of what seems to be "computational evolutionary psychology", pure and applied, or the use of computer and digital technology to study unconscious social behavior behind conscious action and decisions, similar to the way an entomologist studies the behavior and social meaning of wiggle dance of the honey bee, some of which resulting in his 2008 Honest Signals: How They Shape Our World and his 2014 Social Physics: How Good Ideas Spread—the Lessons from a New Science. [1] OverviewIn the 1990s, Pentland was working on wearable computer technology.

Pentland presently runs what he refers to as a “Social Physics” group, associated with the Human Dynamics Lab at MIT Media Lab, the focus statement of which is as follows: [3] References1.

▶️ Pentland

◇ MINSKY, Marvin. ◇ BERTHOLD, Horn. ◇ WHITMAN, Richards. Irene Au. ThoughtSpot. Bradley Horowitz. Bradley Joseph Horowitz is an American entrepreneur and internet executive. He is currently the Vice President of Product management for Google+. Early life and education[edit] Horowitz received a Bachelors in Computer Science from the University of Michigan in 1989. He pursued his graduate studies at the MIT Media Lab, in the Vision and Modeling Group, under Professor Sandy Pentland. He received a Masters in Media Science in 1991, and subsequently entered the PhD program. He dropped out of the PhD program in 1993 to co-found Virage.

Horowitz’s academic work focused on the intersection of computer vision, image processing and computer graphics. Entrepreneurship[edit] Horowitz was CTO and a co-founder (with Jeff Bach, Chiao-fe Shu and Ramesh Jain) of Virage, Inc.[3][4] Virage technology “watched, read and listened to raw video”, extracting metadata that allowed for detailed semantic-based indexing of the video content. Career[edit] Personal life[edit] References[edit] External links[edit] Elatable : Bradley Horowitz. Bradley Horowitz (elatable) Rosalind Picard. Rosalind Picard at the Veritas Forum Science, Faith, and Technology session on "Living Machines: Can Robots Become Human? " Rosalind W. Picard (born May 17, 1962 in Massachusetts) is Professor of Media Arts and Sciences at MIT, director and also the founder of the Affective Computing Research Group at the MIT Media Lab, co-director of the Things That Think Consortium,[1] and chief scientist and co-founder of Affectiva.[2][3] In 2005, she was named a Fellow of the Institute of Electrical and Electronics Engineers.[4] Picard is credited with starting the branch of computer science known as affective computing[5][6] with the publication of Affective Computing.

This textbook described the importance that recognizing human emotions has to relationships between people, and the possible effects of such recognition by robots.[7] Her work in this field has led to an expansion into autism research and developing devices that could help humans recognize nuances in human emotions.[8] Academics[edit] Rosalind W. Picard. Professor Rosalind W. Picard, Sc.D. is founder and director of the Affective Computing Research Group at the Massachusetts Institute of Technology (MIT) Media Lab and co-director of the Things That Think Consortium, the largest industrial sponsorship organization at the lab.

She is also co-founder of Affectiva, Inc., delivering technology to help measure and communicate emotion. Picard holds a bachelor's degree in electrical engineering with highest honors from the Georgia Institute of Technology, and master's and doctorate degrees, both in electrical engineering and computer science, from MIT. Prior to completing her doctorate, she was a member of the technical staff at AT&T Bell Laboratories where she designed VLSI chips for digital signal processing and developed new methods of image compression and analysis. In 1991 she joined the MIT Media Lab faculty. Picard interacts regularly with industry and has consulted for companies such as Apple, AT&T, BT, HP, i.Robot, and Motorola.

Facial Expression Analysis Recognition | Affectiva. Empatica - Human data in real time. Irfan A. Essa. Presently Assistant Professor at Georgia Institute of Technology, College of Computing . For more up-to-date information, please go to my real home page: Vismod Research Staff Research interests Machine and Human Vision, Multimedia, Human Movement, HCI, AI, Facial and Gestural Perception, Computer Graphics, Mathematical Modeling, Numerical Analysis, Cognitive Sciences Education Experience Research Description (as of Jan 1995) I am developing computer vision systems that use measurements from video for detailed facial modeling and tracking of facial expressions. Tracking facial expressions, in contrast, typically involves fast, accurate characterization of a relatively small set of predetermined facial expressions. Selected Publications (To access these documents and their abstracts, visit the tech-reports page) Coding, Analysis, Interpretation and Recognition of Facial Expressions Irfan A.

Animation of Facial Expression using Input from Video., To Appear, Irfan Essa. Irfan Aziz Essa is a professor and the Director of Off-Campus Initiatives in the School of Interactive Computing at the Georgia Institute of Technology (Georgia Tech).[1] Education[edit] Essa obtained his undergraduate degree in Engineering at the Illinois Institute of Technology in 1988.[2] Following this, Essa attended the Massachusetts Institute of Technology, where he received his magister scientiae (Master of Science) in 1990 and his Ph.D. in 1995 at the MIT Media Lab.

His doctoral research focused on the implementation of a system to detect emotions from changes in your facial expression, which was later featured in the New York Times.[3] He proceeded to hold a position as a Research Scientist at MIT from 1994 to 1996 before accepting a position at Georgia Tech. Professional career[edit] After departing MIT, Essa accepted a position as an Assistant Professor in the College of Computing at Georgia Tech. Selected Bibliography[edit] References[edit] External links[edit] Prof.irfanessa.com. Graduate Student Invents'Printer' for Low-Cost Eyeglasses. DiscoveryGraduate Student Invents'Printer' for Low-Cost Eyeglasses MIT doctoral student Saul Griffith is an old-fashioned inventor with high-tech style. His inventions include a 'printer' for low-cost eyeglass lenses and electronic goggles to diagnose a person's eyeglass prescription. April 5, 2004 MIT doctoral student Saul Griffith is an old-fashioned inventor with high-tech style.

For his inventions, including a “printer” for low-cost eyeglass lenses and electronic goggles to diagnose a person’s eyeglass prescription, Griffith won the $30,000 Lemelson-MIT Student Prize for 2004. As a participant in MIT's Center for Bits and Atoms (CBA), which is working to close the gap separating information technology from the rest of the physical world, Griffith has access to all the tools a modern-day tinkerer could ask for. But making the lenses is only half the problem. Patients put on the device, which looks like oversized goggles, and look at the world around them. -- David Hart. ☖ MIT: Media Lab. Social Physics | a new way of understanding human behavior based on analysis of Big Data. Vivek K. Singh, Ph.D., MIT Media Lab. Videos | Social Physics. Media Lab Asia, Now Digital India Corporation. MIT Media Lab: Human Dynamics Group. MIT Media Lab: Human Dynamics Group. Entrepreneurship Program. The Media Lab Entrepreneurship Program is a cross-cutting theme within the Media Arts and Sciences academic program that helps students translate promising ideas at the Media Lab from compelling prototypes towards real-world products or services—i.e., translating ideas into impact.

Such translation has historically occurred when sponsors absorb promising concepts and hire graduating students and also when new businesses or even NGO organizations are formed, sometimes with Media Lab sponsors as co-investors, co-developers, or lead customers. The goal of the Media Lab Entrepreneurship Program is to aid this process, while at the same time ensuring that the Lab’s intellectual freedom and research agenda are not sacrificed.

The goal is to generate thoughtful projects that will engage sponsors at a much more useful level, thus increasing both effectiveness of the Media Lab educational program and the real-world impact of its research. Data-Pop. Data-Pop. In my view, Big Data can fuel a Data Revolution. Much of its appeal stems from its potential — true or false — to find and refine data to yield ‘insights’ about human populations that can power more agile and better targeted policies and programmes. I have at least three issues with this general line of reasoning, and propose instead a “knowledge security-centred” approach to Big Data for human development. My three issues are the following. First, the ‘insights’ approach says nothing about how data will actually be turned into policy; it, largely erroneously as history shows, assumes that bad policies and outcomes result primarily from lack of data or information on the part of decision makers — such that better ‘insights’ about poverty will somehow mechanistically lead to less of it.

My answer is: knowledge security. What would the pillars of knowledge security look like? Promoting ‘knowledge security’ in the age of Big Data may entail improving: 1. 2. 3. 4. Social Physics | a new way of understanding human behavior based on analysis of Big Data. Social Physics (social_physics) sur Twitter. Legatum Center at MIT. MIT Media Lab.

Belief Dynamics and Decision Making. In 1993, Huntington argued that many conflicts will be dominated by cultural differences. Although cultural differences are but one source of conflicts, this aspect is highlighted today by events that have impacted US policies and posture. Yet in the past decade, almost no models have emerged that can forecast patterns of behavior when cultural forces clash.

Such models must consider the roles of beliefs, attitudes, and sacred values within a culture, and how they interact with institutional constraints and perceived external pressures. They must address behaviors within a culture at the levels of the individual, the group, and the governing body. The most important objective of our MURI is to bring together models of beliefs and behaviors at each of the three levels, showing how the levels interact and influence one another.

Scott Atran, University of Michigan & CNRS, Anthropology Jenna Bednar, Univ. Jon Doyle, MIT, SAS Institute, Computer Science Avi Pfeffer, Harvard, Computer Science. The World Economic Forum. MIT Intelligence Initiative. ID3 - idcubed.org. Alex ‘Sandy’ Pentland directs MIT’s Human Dynamics Laboratory and the MIT Media Lab Entrepreneurship Program, and advises the World Economic Forum, Nissan Motor Corporation, and a variety of start-up firms.

With John Henry Clippinger, he is co-founder and Chief Scientist of the newly formed ID3 (Institute for Institutional Innovation by Data Driven Design Inc.). He has previously helped create and direct MIT’s Media Laboratory, the Media Lab Asia laboratories at the Indian Institutes of Technology, and Strong Hospital’s Center for Future Health. Profiles of Sandy have appeared in many publications, including the New York Times, Forbes, and Harvard Business Review.

In 2012 Forbes named Sandy one of the `seven most powerful data scientists in the world’, along with founders of Google and the CTO of the United States. Over the years Sandy has advised more than 50 PhD students. Back to ID3 Team. Funf | Open Sensing Framework. International Jonit Conferences on Artificial Intelligence (IJCAI) Past Proceedings. United Villages. Dimagi. Innerscope Research. Assured Labor. Cogito | Behavioral data systems. Sense Networks. Patent US20090307263 - System And Method Of Performing Location Analytics - Google Patents. The present invention generally relates to systems and methods for performing sensor analytics. More specifically, the present invention relates to systems and methods for associating time/location data points. The proliferation of GPS and other positioning methods in mobile phones, taxis, personal navigation devices and automobiles has begun to generate an enormous amount of historic and real-time data, consisting of a latitude, longitude, unique identifier, and some metadata in many cases like if a taxi is full or empty.

For example, location-based media (LBM) delivers multimedia directly to the user of a mobile device dependent upon their location The media can be delivered to, or triggered within any portable wireless device that is location enabled and has the capacity to display audiovisual content. Media content is managed and organized externally of the device on a standard desktop or laptop. Further associations can be made. Patent US8224766 - Comparing spatial-temporal trails in location analytics - Google Patents. Patent US20120071175 - System and Method of Performing Location Analytics - Google Patents. Patent US8620624 - Event identification in sensor analytics - Google Patents.