Professor Nitin Padture Named Director of Center for Advanced Materials Research

Brown University School of Engineering Professor Nitin Padture, Professor of Engineering, has agreed to become the new director of the Center for Advanced Materials Research (CAMR).

“I want to thank Professor Padture for taking on this important leadership position at Brown and the School of Engineering,” said Larry Larson, Dean of Engineering. “Since arriving earlier this year, Professor Padture has demonstrated amazing resourcefulness in building up a world-leading research program in a short period of time. We will all benefit from his energetic direction as the new director of the Center for Advanced Materials Research (CAMR).”

Padture joined the Brown faculty in January of 2012. Previously he was College of Engineering Distinguished Professor at The Ohio State University, and also the founding director of the NSF-funded Materials Research Science and Engineering Center (MRSEC) at OSU.

“At Brown he has already made important contributions to IMNI [Institute for Molecular and Nanoscale Innovation] and to CAMR,” said Clyde Briant, Vice President for Research.

“I am deeply honored to have the chance to serve the vibrant materials community at Brown, and I hope to create an environment that fosters interdisciplinary material research of the highest quality and impact,” said Padture.

Padture received B.Tech. in metallurgical engineering from Indian Institute of Technology, Bombay (1985), M.S. in ceramic engineering from Alfred University (1987), and Ph.D. in materials science and engineering from Lehigh University (1991).

He was a postdoctoral fellow at the National Institute of Standards and Technology (NIST) for three years, before joining the University of Connecticut faculty in January 1995 as an assistant professor. He became an associate professor in 1998 and was promoted to professor in 2003. He served as interim department head at UConn before moving to Ohio State in January 2005.

Padture’s teaching and research interests are in the broad areas of synthesis/processing and properties of advanced materials used in applications ranging from jet engines to computer chips, impacting transportation, energy, and information technology sectors. Specifically, he has active research in tailoring of structural ceramic, composites, and coatings, and functional nanomaterials including graphene and perovskites.

Padture has published over 120 journal papers, which have been cited about 5,000 times. Padture is a co-inventor of four patents, and he has delivered some 150 invited/keynote/plenary talks in the U.S. and abroad. A fellow of the American Ceramic Society, he has received that society’s Roland B. Snow, Robert L. Coble, and Richard M. Fulrath awards. Padture is also a recipient of the Office of Naval Research Young Investigator Award and a Fellow of the American Association for the Advancement of Science. Padture is a principal editor of Journal of Materials Research and an associate editor of Journal of the American Ceramic Society.

Multiple perspectives improve laparoscopy

Surgeons given their own view of a laparoscopic task, rather than a shared one, can work more efficiently and accurately, a small new study suggests. Findings from “proof of concept” experiments appear in the Journal of Laparoendoscopic and Advanced Surgical Techniques. Professor of Engineering Harvey Silverman helped to develop the system.

PROVIDENCE, R.I. [Brown University] — What makes laparoscopic surgery “minimally invasive” — instruments enter the patient through narrow tubes — also makes it visually constraining. As they work on different tasks, surgeons all see the same view. What if each surgeon could control a separate view best suited to the specific task? In a new paper, pediatric surgeon Dr. Francois Luks and his team of co-authors at Brown University and Hasbro Children’s Hospital report that in a small in vitro trial, surgeons with their own views performed faster and more accurately.

Individual views
Earlier work experimented with special googles that allowed
individual surgeons to hone in on their tasks, but goggles
isolated members of the surgical team. Individual views on
individual monitors appear to improve performance on
complex surgical tasks.
Credit: Francois Luks/Brown University
“When we perform regular surgery, there is more than one point of view,” said Luks, professor of surgery in the Warren Alpert Medical School of Brown University. “If I’m operating with somebody on an open case, I can focus on one aspect of the wound while my assistant can focus on something else. I can cut a suture while he starts the next. We can never do that with laparoscopy, because it is only a single image.”

For Luks and his colleagues the idea of giving each surgeon control of his or her own point of view during laparoscopic surgery has emerged as a key step toward making laparoscopic surgery feel more like open surgery.

Does it do any good?

A natural question, however, is whether doing so would produce the assumed performance improvement. The small “proof-of-concept” experiments in the new paper, published online June 25 in the Journal of Laparoendoscopic and Advanced Surgical Techniques, were meant to begin answering that. First author Dr. Rajan Thakkar, a surgical resident at Brown University and Rhode Island Hospital, presented the results earlier this year at the IPEG 2012 conference.

Different parts of the whole
A single laparoscope delivers an image that is large enough
to allow each surgeon a highly detailed separate view
optimized for the surgical task.
To conduct the study, Luks’ team gathered 20 surgeons of different experience levels to take on two standardized training tasks. The volunteers were paired in teams of similar experience (e.g., two novices or two experts). Gazing at wall-mounted monitors, each pair would perform each task once using a shared view from one camera and once using individual laparoscopes and therefore their own individually controlled images. The order in which each pair performed the tasks was determined randomly.

The research team meanwhile measured the speed and accuracy of each pair’s performance as they worked.

For the first task, one surgeon had to pluck each of 10 beads, one by one, out of a small dish and pass it in mid-air to the partner who had to then place it atop a peg. The novice pairs did not show any improvement in speed using individual views versus a shared view, taking about 600 seconds to accomplish the task in each case. Experts, however, sped up considerably, reducing the task time to 245 seconds on average using individual views, compared to 409 seconds with the shared view.

The second task involved threading a suture around a rubber band and around some pegs. The band would topple if one surgeon didn’t control the tension on the suture that the other created while pulling it around the pegs. On this task, both novice and expert pairs improved markedly with individual views. Novice pairs with individual views did the task in 53.5 seconds on average compared to 90.5 seconds when they had to share a view. Experts did the job in 49 seconds with individual views but 71.7 seconds with the shared view. Individualized viewing also reduced the number of times a rubber band was knocked down.

One camera, individual views

In practice, a surgical team uses only one laparoscope, not two, and so there would be only one image to work from. In previous research the team has shown how software can isolate individually useful views from within a single image.

In 2009 in the same journal, Luks and a team including current co-author Dr. Jeremy Aidlen, described an electronic goggle system called i-LID that offered wearers a unique view from within one image that they could control simply by moving their head to look around or zoom in and out. Given a large, high-resolution image from the laparoscopic camera, software simply carved out the portions that each surgeon indicated interest in based on head movement. The team worked with engineers including Harvey Silverman, professor of engineering at Brown, to develop the system.

The idea had some drawbacks, however. For one thing, goggles isolate surgeons from each other, Luks said. Also wireless transmission of the high-definition image to each pair of goggles could create latency, and while versions with wires had faster data speeds, they had the potential to be physically imposing in the close quarters of surgery.

But now Luks and Aidlen are encouraged both by the new results indicating that individual views could help surgical teams perform better, and by Aidlen’s grant from the Rhode Island Foundation to develop an automated system that delivers individual control of views from within the same image, but does so without isolating goggle control.

That next innovation, and more testing, will move them closer to bringing individually controllable views and their apparent benefits into the operating room.

Luks and Aidlen are the senior authors. The paper’s second author is Dr. Shaun Steigman, fellow in pediatric surgery at Hasbro Hospital and Brown University.

- by David Orenstein

Professor David Cooper Honored at CVPR Conference

David Cooper, Professor Emeritus of Engineering and Professor of Engineering (Research), was honored at the 25th International IEEE (Institute of Electrical and Electronics Engineers) Conference on Computer Vision and Pattern Recognition (CVPR) which was held in Providence from June 18-20. This is the major annual meeting on CVPR. Professor Cooper was honored “In appreciation of his outstanding and pioneering contributions to Unsupervised Learning and Bayesian Inference in Computer Vision.” The international conference was held this year at the Convention Center with over 1800 attendees. Brown University Professor Benjamin Kimia served as one of three general co-chairs of the conference.
Ben Kimia, David Cooper, Rama Chellappa

Professor Cooper’s current research focuses on the development and application of new geometric, algebraic, and probabilistic approaches, models, and algorithms for recognizing and estimating 2D and 3D geometric information and functioning in 3D scenes from images, video, and range data.

Professor Cooper received both his Sc.B. and Sc.M. degrees from MIT in electrical engineering, and his Ph.D. from Columbia University in applied mathematics. After graduation, he joined the Brown faculty in September of 1966 as an assistant professor. He became an associate professor in 1969, and was promoted to full professor in 1978. During his more than 45 years at Brown, Cooper has also served as cofounder and associate director of the Laboratory for Engineering Man/Machine Systems (LEMS) for more than 15 years, and the head of electrical engineering for two years. He is a fellow of the IEEE and has published roughly 140 papers in refereed journals or as book chapters.

For more information on the CVPR awards, please go to: http://www.cvpr2012.org/program-details/awards
 
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