faculty research

Quote of the Day from V.S. Subrahmanian

New Europe is running an interview with our very own V.S. Subrahmanian:

In today’s world, the capture of a terrorist leader or the destruction of a terror cell is one of the basic functions of any intelligence agency in the world today. Computer scientist V.S. Subrahmanian is applying a big data approach to fighting terror by trying to put more objective analysis into decisions about which terrorists to target.

His work stands squarely at the intersection of big data analytics for increased security, policy, and business needs.

Using sophisticated software, Subrahmanian – a Dartmouth College Distinguished Professor in Cybersecurity, Technology, and Society – calls the programme STONE, short for the Shaping Terrorist Organization Network Efficacy. It is a schematic of a terrorist network that identifying individuals, subgroups and affiliations. The software assigns a number to measure the lethality of the terror organisation, the higher the number, the more dangerous the group is.

Dartmouth team receives NSF grant for underwater robots

Alberto Quattrini Li (PI), Devin Balkcom (Co-PI), Xia Zhou (Co-PI), Bo Zhu (Co-PI), Jesse Casana (Anthropology, Co-PI), and Dave Lutz (Environmental Studies, Senior Personnel) were awarded a $400,000 NSF Major Research Instrumentation grant for acquiring marine multirobot systems for underwater monitoring and construction. 

The research enabled by the instruments to be acquired with this award is focused on exploration of techniques and principles that guide the development of algorithms and computational systems for control and design of water robots to study: underwater robotic construction or scaffolding to protect delicate ecologies; multirobot communication and coordination for monitoring; and underwater exploration and mapping.

The instrumentation acquired will provide opportunities to students at all levels with hands-on experience in research, programming, and experiential learning, and public outreach communicate the challenges and insights derived from field experiments.

More NSF Award info.

Robots and AI to support research on harmful blue-green algae

A team of scientists from research centers stretching from Maine to South Carolina will combine big data, artificial intelligence and robotics with new and time-tested techniques for lake sampling to understand where, when, and how cyanobacterial blooms form in lakes across the East Coast in a 4-year project supported by NSF ($3 million, renewable to $5.9 M).

The research team brings together experts in freshwater ecology, computer science, engineering and geospatial science from Bates College, Colby College, Dartmouth, the University of New Hampshire, the University of Rhode Island and the University of South Carolina.

Andrew Campbell Presented with SIGMOBILE Test of Time Award!

Andrew Campbell and his PhD students received the prestigious ACM SIGMOBILE Test-of-Time Award for their 2008 paper:

Miluzzo E, Lane ND, Fodor K, Peterson R, Lu H, Musolesi M, Eisenman SB, Zheng X, Campbell AT. "Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application." ACM SenSys, 2008.

The award citation states:

CenceMe was the first paper to demonstrate how smartphones can be used to derive rich behavioral insights continuously from onboard sensors. Since its publication, the work has inspired a huge body of research and commercial endeavors that has continued to increase the breadth and depth of personal sensing. Some of the activity inference methods that are now common in smartphone operating systems can be traced back to the original CenceMe system.

This is a seminal paper that spearheaded the field of smartphone sensing. Today, activity recognition is integrated into the operating system of every Android and iPhone.

Joint-Monitoring Fabric Gets NSF ‘Awesome Discoveries’ Shout-Out

From Dartmouth news by David Hirsch and Bill Platt:

A smart fabric developed at Dartmouth that can help athletes and physical therapy patients reduce arm injuries and accelerate recovery was highlighted in the National Science Foundation’s “4 Awesome Discoveries You Probably Didn’t Hear About This Week” social media campaign.

Created by Associate Professor of Computer Science Xia Zhou and the team in her Dartnets lab, the fabric-sensing system is a wearable, low-cost motion-capture textile that monitors joint rotation, making it ideal for athletes or for patients recuperating from injuries.

The NSF YouTube “4 Awesome Discoveries” episode shows how the off-the-shelf sensing fabric is fitted with a micro-controller that can be easily detached to transfer data and could be further miniaturized to “fit inside a button.”

Computer Science Has a Genuine Rock Star: Xia Zhou

Associate Professor of Computer Science Xia Zhou is a rock star, and now she has an award to prove it. 

The Association for Computing Machinery (ACM), the largest educational and scientific computing society in the world, has awarded Zhou the ACM SIGMOBILE's RockStar Award. SIGMOBILE is the ACM’s organizational division “dedicated to all things mobile.”

The ACM SIGMOBILE's RockStar award committee selected Zhou “in recognition of her outstanding early-career contributions and impact on our field: for multidisciplinary research examining unconventional wireless spectrum frequencies to build next-generation wireless systems and spearheading the field of ‘visible light sensing,’ which turns the ubiquitous light around us into a powerful medium that integrates data communication and human behavioral sensing. The RockStar Award is our community’s acknowledgement of the depth, impact, and novelty of Xia’s research,” writes Edward Knightly, chair of the award committee. 

New research lets artists create more realistic and controllable CGI

A new theory based on the physics of cloud formation and neutron scattering could help animators create more lifelike movies, according to a Dartmouth-led study. Software developed using the technique focuses on how light interacts with microscopic particles to develop computer-generated images.

The work was conduced by Dartmouth's Visual Computing Laboratory in collaboration with researchers from Pixar, Disney Research, ETH Zurich and Cornell University. A research paper detailing the advancement was just published in the journal Transactions on Graphics and will be presented at SIGGRAPH Asia by Dartmouth CS PhD student Benedikt Bitterli tomorrow, December 6 in Tokyo, Japan.

Watch the quick "fast forward" video below that summarizes the technique: