andes.ucmerced.edu

ANDES Lab - Introduction

The Adaptive Networked Distributed Embedded Systems (ANDES) research group at the University of California, Merced conducts research in the areas of computer networking and distributed systems with focus on wireless sensor networks. Our research philosophy is to provide solutions to grand challenge problems. Sensing infrastructure to measure and model occupancy estimation in buildings. New measurement tools and techniques to model the wireless channel characteristics. Please refer to the research.

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ANDES Lab - Introduction | andes.ucmerced.edu Reviews

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The Adaptive Networked Distributed Embedded Systems (ANDES) research group at the University of California, Merced conducts research in the areas of computer networking and distributed systems with focus on wireless sensor networks. Our research philosophy is to provide solutions to grand challenge problems. Sensing infrastructure to measure and model occupancy estimation in buildings. New measurement tools and techniques to model the wireless channel characteristics. Please refer to the research.

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ANDES Lab - Introduction | andes.ucmerced.edu Reviews

https://andes.ucmerced.edu

The Adaptive Networked Distributed Embedded Systems (ANDES) research group at the University of California, Merced conducts research in the areas of computer networking and distributed systems with focus on wireless sensor networks. Our research philosophy is to provide solutions to grand challenge problems. Sensing infrastructure to measure and model occupancy estimation in buildings. New measurement tools and techniques to model the wireless channel characteristics. Please refer to the research.

INTERNAL PAGES

andes.ucmerced.edu

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ANDES Lab - What's New

http://andes.ucmerced.edu/news

Your browser does not support iframes. UNIVERSITY OF CALIFORNIA, MERCED.

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Publications

http://andes.ucmerced.edu/papers

Tao Liu, Alberto E. Cerpa. Temporal Adaptive Link Quality Prediction with Online Learning,". ACM Transactions on Sensor Networks (TOSN). Varick L. Erickson, Miguel A. Carreira-Perpinan, Alberto E. Cerpa. Occupancy Modeling and Prediction for Building Energy Management,". ACM Transactions on Sensor Networks (TOSN). Stefan Achleitner, Ankur U. Kamthe, Tao Liu, Alberto E. Cerpa. SIPS: Solar Irradiance Prediction System,". Berlin, BE, Germany. Acceptance Rate: 21%][ Abstract. University of California, Merced.

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ANDES Lab - People

http://andes.ucmerced.edu/people

Alberto E. Cerpa. Associate Professor and Founding Faculty. Electrical Engineering and Computer Science. E-mail: acerpaandes·ucmerced·edu. Electrical Engineering and Computer Science. E-mail: vericksonandes·ucmerced·edu. Electrical Engineering and Computer Science. E-mail: abeltran2andes·ucmerced·edu. Electrical Engineering and Computer Science. E-mail: dwinkler2andes·ucmerced·edu. Electrical Engineering and Computer Science. E-mail: pirooziandes·ucmerced·edu. Computer Science and Engineering. Computer S...

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www.andes.ucmerced.edu Mailing Lists

http://andes.ucmerced.edu/mailman/listinfo

Wwwandes.ucmerced.edu Mailing Lists. Below is a listing of all the public mailing lists on www.andes.ucmerced.edu. Click on a list name to get more information about the list, or to subscribe, unsubscribe, and change the preferences on your subscription. To visit the general information page for an unadvertised list, open a URL similar to this one, but with a '/' and the list name appended. List administrators, you can visit the list admin overview page. To find the management interface for your list.

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ANDES Lab - Software

http://andes.ucmerced.edu/software

Software and Data Traces. We develop applications for wireless sensors using TinyOS. Operation system. We have some TinyOS. Programs we wrote for our research projects publicly available in this page. You can checkout the tree development branch from our SVN server. We also make available data traces collected when performing experiments. Please contact us for further information and/or questions you may have. To download the experimental implementation of RNP link estimator for TinyOS 2.0.

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eecs.ucmerced.edu

Current Students | Electrical Engineering and Computer Science

http://eecs.ucmerced.edu/current-students

EECS - Graduate Students. Mehdi Alizadeh (M. Á. Carreira-Perpiñán, machine learning). Jaspal Atwal ( F. Rusu. M Singhal, cloud computing). Farzaneh Ahmadi Behnam ( A. Cerpa. Carlo Camporesi (M. Kallmann). Mehul Divecha (S. Newsam, computer vision). Ying Ding (S. Newsam). Abhineet Dubey ( F. Rusu. Renato Farias (M. Kallmann). Seyedshams Feyzabadi (S. Carpin, robotics). Luanzheng Guo ( Dong Li. Yingchao Huang ( Dong Li. Zhiyi Huang ( F. Rusu. Angelo Kyrilov (D. Noelle, computer assisted learning).

eecs.ucmerced.edu

Alumni | Electrical Engineering and Computer Science

http://eecs.ucmerced.edu/alumni

Carlo Camporesi (March 2015, M. Kallmann, virtual reality). December 2013, M. Á. Carreira-Perpiñán. Daniel (Chi Yan) Leung (August 2013, S. Newsam). Görkem Erinç (August 2013, S. Carpin, robotics). August 2013, A. Cerpa. April 2013, M. Kallmann). April 2013, M. Kallmann). December 2012, M. Kallmann). Yang Yang (December 2012, S. Newsam). Benjamin Balaguer (August 2012, S. Carpin, robotics). Joshua Phillips (July 2012, S. Newsam). May 2012, A. Cerpa. February 2011, M. Á. Carreira-Perpiñán. Merced, CA 95343.

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ANDES Lab - Introduction

The Adaptive Networked Distributed Embedded Systems (ANDES) research group at the University of California, Merced conducts research in the areas of computer networking and distributed systems with focus on wireless sensor networks. Our research philosophy is to provide solutions to grand challenge problems. Sensing infrastructure to measure and model occupancy estimation in buildings. New measurement tools and techniques to model the wireless channel characteristics. Please refer to the research.

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