The Future Internet Forum, in association with ceFIMS FP7 Coordination Action, published, in February 2011, its first Newsletter with a special feature about the Largest Vehicular Network Testbed in Europe which is taking place in Portugal. The name of the project that is responsible for this initiative is Drive-In - Distributed Routing and Infotainment through Vehicular Inter-Networking. The project is affiliated with the Carnegie Mellon Portugal program which is funded by the Portuguese Foundation for Science and Technology (FCT).
Read more at http://www.cmuportugal.org/tiercontent.aspx?id=3434 .
We are a research/educational partnership between several top-rated Portuguese universities, and the Carnegie Mellon University. Students in any of our masters or Ph.D. programs (http://www.cmuportugal.org) take courses from professors in both locations; upon graduation they receive dual degrees. Faculty have interdisciplinary and intercultural research grants opportunities. For more information, please contact us at news@cmuportugal.org.
16 December 2010
Workshop: Frontiers in Entrepreneurship research: Entrepreneurship, Innovation and Human Capital
Date: December 17-18, 2010
Place: Católica Lisbon, School of Business and Economics, Lisbon, Portugal
Motivation
One of the major socio-economic trends since the 1990s has been the rise of entrepreneurshipvas a driver of innovation, competitiveness and economic development. One central aspect in the creation and growth of knowledge-based firms is the role played by the human capital of the entrepreneur. Human capital entails the stock of knowledge and skills that reside within individuals and that can be developed over time. This includes general human capital, which comprises formal education, and previous job-market experience. But it also entails specific human capital, encompassing prior experiences that might be more relevant for an individual to decide on engaging in the development of knowledge-based firms. For instance, entrepreneurial experience, top management experience, or previous work experience in the same sector where the new firm is being started are likely to endow individuals with knowledge and skills that are specific for the tasks required from a knowledge-based entrepreneur.
The last two decades have seen the emergence of encompassing data sources linking individuals and firms over time. Such data sets are rare and hard to access. These longitudinal datasets can be used to track the evolution of markets and individual firm performance as well as individuals’ professional and entrepreneurial experiences over time, allowing for the examination of their decisions and behavioral patterns in the labor market. Some of these longitudinal datasets match employees, employers, patents and their characteristics over time.
This workshop aims to present and discuss cutting edge work from leading researchers in the areas of entrepreneurship and innovation focusing on the role played by human capital in the entrepreneurial and innovation processes. Most papers will leverage new longitudinal databases, often in connection with other complementary sources of data.
Scientific Coordination:
• Rui Baptista, Instituto Superior Técnico, Universidade Técnica de Lisboa (IST-UTL)
• Steven Klepper, Social and Decision Sciences, Carnegie Mellon University (CMU)
• Pedro Oliveira, Católica Lisbon, School of Business and Economics (FCEE-Católica)• Francisco Veloso, Católica Lisbon, School of Business and Economics (FCEE- Católica) and Engineering and Public Policy, Carnegie Mellon University (CMU)
See the Agenda at http://www.cmuportugal.org/tiercontent.aspx?id=3174
Place: Católica Lisbon, School of Business and Economics, Lisbon, Portugal
Motivation
One of the major socio-economic trends since the 1990s has been the rise of entrepreneurshipvas a driver of innovation, competitiveness and economic development. One central aspect in the creation and growth of knowledge-based firms is the role played by the human capital of the entrepreneur. Human capital entails the stock of knowledge and skills that reside within individuals and that can be developed over time. This includes general human capital, which comprises formal education, and previous job-market experience. But it also entails specific human capital, encompassing prior experiences that might be more relevant for an individual to decide on engaging in the development of knowledge-based firms. For instance, entrepreneurial experience, top management experience, or previous work experience in the same sector where the new firm is being started are likely to endow individuals with knowledge and skills that are specific for the tasks required from a knowledge-based entrepreneur.
The last two decades have seen the emergence of encompassing data sources linking individuals and firms over time. Such data sets are rare and hard to access. These longitudinal datasets can be used to track the evolution of markets and individual firm performance as well as individuals’ professional and entrepreneurial experiences over time, allowing for the examination of their decisions and behavioral patterns in the labor market. Some of these longitudinal datasets match employees, employers, patents and their characteristics over time.
This workshop aims to present and discuss cutting edge work from leading researchers in the areas of entrepreneurship and innovation focusing on the role played by human capital in the entrepreneurial and innovation processes. Most papers will leverage new longitudinal databases, often in connection with other complementary sources of data.
Scientific Coordination:
• Rui Baptista, Instituto Superior Técnico, Universidade Técnica de Lisboa (IST-UTL)
• Steven Klepper, Social and Decision Sciences, Carnegie Mellon University (CMU)
• Pedro Oliveira, Católica Lisbon, School of Business and Economics (FCEE-Católica)• Francisco Veloso, Católica Lisbon, School of Business and Economics (FCEE- Católica) and Engineering and Public Policy, Carnegie Mellon University (CMU)
See the Agenda at http://www.cmuportugal.org/tiercontent.aspx?id=3174
11 November 2010
2010 MSE Seminars of Software Engineering: SCRUM: Agile Software Development
Dates: November 27, 2010, 10:00h (Auditorim of Novabase/Parque das Nações, Lisboa) and December 4, 2010, 10:00 (Hotel Ipanema Porto, Porto)
Organization: University of Coimbra | Carnegie Mellon Portugal Program
[Admission is free with the registration 3 days prior to each seminar]
Topics:
- Organization and management of agile teams
- Efficient Management of Requirements
- Planning and monitoring
- Estimate
Audience:
- Software Engineers - Team Leaders and Project Managers
- Companies interested in participating in the program CMU | Portugal
Lecturers:
Professor Mário Zenha-Rela, University of Coimbra / Carnegie Mellon University
Professor Licinio Roque, University of Coimbra / Carnegie Mellon University
Professor Pedro Bizarro, University of Coimbra / Carnegie Mellon University
Professor Paulo Rupino, Universidade de Coimbra / Carnegie Mellon University
More information available at http://www.cmuportugal.org/tiercontent.aspx?id=3118
Organization: University of Coimbra | Carnegie Mellon Portugal Program
[Admission is free with the registration 3 days prior to each seminar]
Topics:
- Organization and management of agile teams
- Efficient Management of Requirements
- Planning and monitoring
- Estimate
Audience:
- Software Engineers - Team Leaders and Project Managers
- Companies interested in participating in the program CMU | Portugal
Lecturers:
Professor Mário Zenha-Rela, University of Coimbra / Carnegie Mellon University
Professor Licinio Roque, University of Coimbra / Carnegie Mellon University
Professor Pedro Bizarro, University of Coimbra / Carnegie Mellon University
Professor Paulo Rupino, Universidade de Coimbra / Carnegie Mellon University
More information available at http://www.cmuportugal.org/tiercontent.aspx?id=3118
10 November 2010
Priberam Machine Learning Lunch Seminar: Learning simple texture discrimination filters, by Rui Guerreiro (ISR)
Venue: IST Alameda, Sala PA2 (Edif. de Pós-Graduação)
Date: Tuesday, November 16nd, 2010
Time: 13:00
Lunch will be provided
Abstract:
Everyday tasks like walking on the street, recognizing a friend or understanding a scene seem so simple and immediate that transposing it to a computer might seem like an easy task. Only when we try it do we realize our immense talent, as humans, in making sense of the data that reaches our senses. In this talk I illustrate some of these difficulties and particularize for the context of texture discrimination. I introduce a simple supervised learning approach (using Genetic Algorithms) that enables high-frame rate texture discrimination and compare it with current state-of-the-art methods. I further particularize the general methodology to rotationally discriminant and rotationally invariant discrimination. I conclude with experimental results, which illustrate that it is successful in capturing the essence of the texture discrimination problem.
Bio:
Rui Guerreiro received his licenciatura (2002) and MSc (2003) degrees from Instituto Superior Técnico (IST), Portugal, in Electrical & Electronical Engineering, the latter on the topic of 2D-to-3D conversion using Structure from Motion. In 2003, he joined Siemens S.A. in Lisbon where he worked in high-speed circuit design for communication systems.~In 2005, he joined the Video Processing Group of Philips Research, Eindhoven, The Netherlands, where he worked on picture enhancement topics (motion estimation, halo-free frame-rate up-conversion, multi-band enhancement, temporal compression artifact suppression, spatial color processing, color therapy), 2D-to-3D conversion for 3D-TVs (scene classification, depth-from-focus, motion-based segmentation) and supervised student work on low-cost gaze tracking. In 2009, he started a PhD at IST, on perception-based 2D-to-3D conversion. He has 4 patents and 9 peer-reviewed publications on these topics.
Date: Tuesday, November 16nd, 2010
Time: 13:00
Lunch will be provided
Abstract:
Everyday tasks like walking on the street, recognizing a friend or understanding a scene seem so simple and immediate that transposing it to a computer might seem like an easy task. Only when we try it do we realize our immense talent, as humans, in making sense of the data that reaches our senses. In this talk I illustrate some of these difficulties and particularize for the context of texture discrimination. I introduce a simple supervised learning approach (using Genetic Algorithms) that enables high-frame rate texture discrimination and compare it with current state-of-the-art methods. I further particularize the general methodology to rotationally discriminant and rotationally invariant discrimination. I conclude with experimental results, which illustrate that it is successful in capturing the essence of the texture discrimination problem.
Bio:
Rui Guerreiro received his licenciatura (2002) and MSc (2003) degrees from Instituto Superior Técnico (IST), Portugal, in Electrical & Electronical Engineering, the latter on the topic of 2D-to-3D conversion using Structure from Motion. In 2003, he joined Siemens S.A. in Lisbon where he worked in high-speed circuit design for communication systems.~In 2005, he joined the Video Processing Group of Philips Research, Eindhoven, The Netherlands, where he worked on picture enhancement topics (motion estimation, halo-free frame-rate up-conversion, multi-band enhancement, temporal compression artifact suppression, spatial color processing, color therapy), 2D-to-3D conversion for 3D-TVs (scene classification, depth-from-focus, motion-based segmentation) and supervised student work on low-cost gaze tracking. In 2009, he started a PhD at IST, on perception-based 2D-to-3D conversion. He has 4 patents and 9 peer-reviewed publications on these topics.
04 November 2010
Anthony Rowe Gives a Lecture in Portugal On Embedded Sensing Systems For Energy-Efficiency In Buildings
Date: Friday, November 5, 2010, 16:00-17:00
Speaker: Anthony Rowe, Carnegie Mellon University
Organization: The Instituto de Telecomunicações and the Department of Electrical and Computer Engineering
Place: FEUP Building I, Room I-105
Abstract:
Non-Intrusive Load Monitoring (NILM) is a promising technique for disaggregating per-appliance energy consumption in buildings from aggregate voltage/current measurements. One major limitation of the approach is that it typically requires a training phase during which users must manually label device transitions. This talk presents an inexpensive contactless electromagnetic field (EMF) event-detector that can detect appliance state changes within close proximity based on magnetic and electric field fluctuations. Each detector wirelessly transmits state changes via a sensor network to a circuit-panel energy meter, which can then be used to label and disambiguate appliance transitions detected from the aggregate signals as well as to track the associated energy consumption. Our EMF sensors are able to detect significant power state changes from a few inches away making it possible to externally monitor in-wall wiring to devices (e.g., overhead lights). We also address how this technology can be used as a first step towards the broader goal of net-zero energy buildings.
Bio:
Anthony Rowe is an Assistant Research Professor at Carnegie Mellon University. He received a Ph.D. in ECE from CMU in 2010. His research interests include networked real-time embedded systems for sensor and actuator applications. Currently, he is investigating how to design future embedded systems to support applications ranging from building energy optimization to hazardous work-zone safety that are energy-efficient and provide real-time properties.
Speaker: Anthony Rowe, Carnegie Mellon University
Organization: The Instituto de Telecomunicações and the Department of Electrical and Computer Engineering
Place: FEUP Building I, Room I-105
Abstract:
Non-Intrusive Load Monitoring (NILM) is a promising technique for disaggregating per-appliance energy consumption in buildings from aggregate voltage/current measurements. One major limitation of the approach is that it typically requires a training phase during which users must manually label device transitions. This talk presents an inexpensive contactless electromagnetic field (EMF) event-detector that can detect appliance state changes within close proximity based on magnetic and electric field fluctuations. Each detector wirelessly transmits state changes via a sensor network to a circuit-panel energy meter, which can then be used to label and disambiguate appliance transitions detected from the aggregate signals as well as to track the associated energy consumption. Our EMF sensors are able to detect significant power state changes from a few inches away making it possible to externally monitor in-wall wiring to devices (e.g., overhead lights). We also address how this technology can be used as a first step towards the broader goal of net-zero energy buildings.
Bio:
Anthony Rowe is an Assistant Research Professor at Carnegie Mellon University. He received a Ph.D. in ECE from CMU in 2010. His research interests include networked real-time embedded systems for sensor and actuator applications. Currently, he is investigating how to design future embedded systems to support applications ranging from building energy optimization to hazardous work-zone safety that are energy-efficient and provide real-time properties.
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