Faculty at University of Maryland School of Pharmacy launch software for drug development, patient care – Baltimore Business Journal

Faculty at University of Maryland School of Pharmacy launch software for drug development, patient care  Baltimore Business Journal

A new company established by University of Maryland School of Pharmacy faculty members has released its first software, Pumas, a platform designed to assist …

“Sweden ai” – Google News

3 Questions: Faculty appointments and the MIT Schwarzman College of Computing

Since February, five working groups have been generating ideas about the form and content of the new MIT Stephen A. Schwarzman College of Computing. That includes a Working Group on Faculty Appointments. Its co-chairs are Eran Ben-Joseph, head of the Department of Urban Studies and Planning, and William Freeman, the Thomas and Gerd Perkins Professor of Electrical Engineering. MIT News talked to Ben-Joseph and Freeman about the group’s progress and ideas at this point.

Q: What are the major issues your working group was formed to address?

Freeman: It’s a really big opportunity to have this college. And now we have to decide important things, such as: How does the electrical engineering and computer science department (EECS) relate to the new college, and how does the rest of the university relate to it? The big sense I got from our working group is that people really want to be included and don’t want to be left out. How faculty appointments are made is important — to make sure existing faculty are included, and of course that new faculty are included as well.

Ben-Joseph: With the horizontal structure [of the college, which spans MIT], we also want to make sure we are strengthening computation and computer science at MIT and not weakening it. We wish to create a structure that engages everyone across the Institute who’s interested, while maintaining the strength and position of computer science within MIT — you have to strike a balance between what we have, what we want to have, and to include both existing faculty and new faculty, in a way that’s meaningful. That’s what we had the most conversations about. For me our committee was a great example of how we might answer all of this, and figure out new systems because we were diverse, and able to bring to the table different opinions while respecting each others’ positions.  

Q: What are some of the specific ideas you addressed — both in terms of hiring and retaining faculty with interdisciplinary interests, and assessing the range of disciplines in which faculty might be hired?

Ben-Joseph: First of all, we were looking at the existing faculty and what might be the relationship between EECS, and other faculty. For example, do all the computer science and EECS faculty automatically become members of the college, even if a department does not move into it?

We also spent a lot of time on the subject of multicommunity faculty, which is our preferred and recommended name for what has been called “bridge faculty.” We want to create an inclusive community [in the college] while understanding that for some faculty, that’s the core of their profession. We spent a lot of time trying to think about how people will be associated with the college if they join from other departments. And with new faculty, particularly junior faculty doing interesting new research and breaking new disciplinary ground, to make sure that there will not be the issue of, where do they belong, who’s mentoring them, what is their path for tenure?

When you look at hires, one scenario could be that a department might initiate a suggestion of a particular hire. So that department would still be the home department, but you might still need two thumbs up — the college would still have a say about the hiring, but really it’s the department that has to take care of the particular individual and their ultimate academic success. One option we considered is if there’s a new faculty hiring, half of the line comes from the department and half comes from the college, so there is a stake for the department to be involved.

Freeman: There is a tension between having a critical mass in some areas and having academic diversity with many different departments participating. One solution the working group proposed was to have intellectual clusters within the college, which would span different departments but develop a critical mass even in some areas you might consider interdisciplinary.

Eran Ben-Joseph: So you could start organizing clusters around different topics, for example a cluster in climate science and climate action. You could be working in computational ecology, or risk and uncertainty, or climate modeling, and AI within the cluster. What will hold it all together is the focus on computation.

Q: What is the path forward, at least in terms of community input?

Freeman: I think we need to present our results, and I think the community needs to read them and comment on them. And we need to listen to that. There are some points when decisions will have to be made, responsively, to the comments of the community.

I’m from computer science, and the new college addresses everyone’s livelihood, so the level of engagement has been extremely high. And outside computer science, the interest is also extremely high, because computing is everywhere, and the college is an opportunity to enhance research and teaching.  So, everyone wants to have an opportunity to take part.

Ben-Joseph: We hope people understand these are suggestions, frameworks; it’s a starting point, and hopefully things will evolve. Nobody expects that we will hire 50 faculty tomorrow. It will take a few years. Some of our ideas and proposals may work, but some may not, and hopefully things will change for the better. Also, we should emphasize that there are other teaching faculty at MIT — lecturers, technical instructors, and staff, whom we depend on and who are part of our community. We had less of a chance [in this working group] to address their needs and opportunity for engagement with the college. We must include them as part of the conversation.

MIT News – Artificial intelligence

New Ericsson Chief IP Officer Christina Petersson Set to Outline Vision as She Joins the Speaking Faculty for IPBC Global 2019 – MENAFN.COM

New Ericsson Chief IP Officer Christina Petersson Set to Outline Vision as She Joins the Speaking Faculty for IPBC Global 2019  MENAFN.COM

(MENAFN – Newswire.com LLC) LONDON, May 15, 2019 (Newswire.com) – Christina Petersson, who became Chief IP Officer at Ericsson last month, is the latest …

“Sweden 5g” – Google News

Vivienne Sze wins Edgerton Faculty Award

Vivienne Sze, an associate professor in the Department of Electrical Engineering and Computer Science (EECS), has received the 2018-2019 Harold E. Edgerton Faculty Achievement Award.

The award, announced at today’s MIT faculty meeting, commends Sze for “her seminal and highly regarded contributions in the critical areas of deep learning and low-power video coding, and for her educational successes and passion in championing women and under-represented minorities in her field.”

Sze’s research involves the co-design of energy-aware signal processing algorithms and low-power circuit, architecture, and systems for a broad set of applications, including machine learning, computer vision, robotics, image processing, and video coding. She is currently working on projects focusing on autonomous navigation and embedded artificial intelligence (AI) for health-monitoring applications.

“In the domain of deep learning, [Sze] created the Eyeriss chip for accelerating deep learning algorithms, building a flexible architecture to handle different convolutional shapes,” the Edgerton Faculty Award selection committee said in announcing its decision. “Eyeriss is also the first deep neural network accelerator to exploit data statistics of the network to further reduce energy consumption twofold, a substantial accomplishment in this field.” In addition, the committee noted that Sze’s work on High Efficiency Video Coding (HEVC) influenced the development of standards now in widespread use, including the improvements that provide the enabling technology for video-accessing on iPhones and Android phones worldwide.

Sze’s educational contributions include a popular conference tutorial on hardware architectures for deep neural networks, which she has turned into a regularly offered MIT subject that can be used to satisfy the EECS doctoral qualifying procedures. In addition, students praise “her ability to connect theory and practice through enjoyable and helpful lectures,” the selection committee noted.

Finally, the committee acknowledged Sze’s efforts in promoting the inclusion and advancement of women and under-represented minorities in the field. Most recently, she served as a technical co-chair of Rising Stars in EECS 2018, which brought 76 of the world’s top women graduate students and postdoctoral researchers to MIT for an intensive two-day workshop on academic careers. (As a PhD student, Sze participated in the inaugural Rising Stars in EECS workshop, held at MIT in 2012.) 

Sze received a bachelor’s degree with honors from the University of Toronto and a master’s degree and PhD from MIT, all in electrical engineering. From 2010 to 2013, she was a member of the technical staff in the R&D Center at Texas Instruments (TI), where she designed low-power algorithms and architectures for video coding. In that role, she represented TI on the Joint Collaborative Team on Video Coding during the development of HEVC, which later received an Engineering Emmy Award. Sze returned to MIT in 2013 as an assistant professor of electrical engineering and computer science and was promoted to associate professor without tenure in July 2017. She is also a principal investigator in the Research Lab of Electronics, has co-authored more than 60 publications in proceedings of refereed conferences and journals, and holds more than 25 issued patents.

Other honors include a 2018 Google Faculty Research Award, a 2018 Facebook Faculty Award, a 2018 Qualcomm Faculty Award, and a 2016 Young Investigator Research Program Award from the Air Force Office of Scientific Research, among others. In 2011, she received MIT’s Jin-Au Kong Outstanding Doctoral Thesis Prize in Electrical Engineering.

The annual Edgerton Faculty Award was established in 1982 as a tribute to Institute Professor Emeritus Harold E. Edgerton in recognition of his active support of junior faculty members. Each year, a committee presents the award to one or more non-tenured faculty members to recognize exceptional contributions in research, teaching, and service. 

The 2018-2019 Edgerton Award Selection Committee was chaired by Professor Ian Hunter, the George N. Hatsopoulos Professor in Thermodynamics in the Department of Mechanical Engineering. Committee members included Catherine Drennan, professor of chemistry and biology; Jay Scheib, Class of 1949 Professor of Theater; Antoinette Schoar, the Michael M. Koerner (1949) Professor of Finance and Entrepreneurship at the MIT Sloan School of Management; and Andrew Scott, professor of architecture and urbanism.

MIT News – Artificial intelligence

School of Engineering welcomes new faculty

The School of Engineering is welcoming 11 new faculty members to its departments, institutes, labs, and centers. With research and teaching activities ranging from the development of novel microscopy techniques to intelligent systems and mixed-autonomy mobility, they are poised to make significant contributions in new directions across the school and to a wide range of research efforts around the Institute.

“I am pleased to welcome our outstanding new faculty,” says Anantha Chandrakasan, dean of the School of Engineering. “Their contributions as educators, researchers, and collaborators will enhance the engineering community and strengthen our global impact.”

Pulkit Agrawal will join the Department of Electrical Engineering and Computer Science as an assistant professor in July. Agrawal earned a BS in electrical engineering from the Indian Institute of Technology, Kanpur, and was awarded the Director’s Gold Medal. He earned a PhD in computer science from the University of California at Berkeley. A co-founder of SafelyYou, Inc., Agrawal researches topics spanning robotics, deep learning, computer vision, and computational neuroscience. His work has appeared multiple times in MIT Technology Review, Quanta, New Scientist, the New York Post, and other outlets. He is a recipient of the Signatures Fellow Award, a Fulbright science and technology award, the Goldman Sachs Global Leadership Award, OPJEMS, the Sridhar Memorial Prize, and IIT Kanpur’s academic excellence awards, among others. Agrawal also holds a “sangeet prabhakar” (the equivalent of bachelor’s degree in Indian classical music) and occasionally performs in music concerts.

Jacob Andreas will join the Department of Electrical Engineering and Computer Science as an assistant professor in July. Andreas received a BS from Columbia University and an MPhil from the University of Cambridge, where he studied as a Churchill Scholar. He earned his PhD from the University of California at Berkeley, where he was a member of the Berkeley Natural Language Processing Group and the Berkeley Artificial Intelligence Research Lab. His work is focused on using language as a scaffold for more efficient learning and as a probe for understanding model behavior. His received the 2016 Annual Conference of the North American Chapter of the Association for Computational Linguistics Best Paper Award and the 2017 International Conference on Machine Learning Honorable Mention. He has been an NSF Graduate Fellow, a Huawei-Berkeley AI Fellow, and a Facebook Fellow.

Manya Ghobadi joined the Department of Electrical Engineering and Computer Science as an assistant professor in October. Previously, she was a researcher at the Microsoft Research Mobility and Networking group. Prior to Microsoft, she was a software engineer at Google. Ghobadi received her PhD in computer science at the University of Toronto and her BEng in computer engineering at the Sharif University of Technology. A computer systems researcher with a networking focus, she has worked on a broad set of topics, including data-center networking, optical networks, transport protocols, network measurement, and hardware-software co-design. Many of the technologies she has helped develop are part of real-world systems at Microsoft and Google. She was recognized as an N2women Rising Star in networking and communications in 2017. Her work has won the best dataset award, Google research excellent-paper award (twice), and the ACM Internet Measurement Conference best-paper award.

Ashwin Gopinath joins the Department of Mechanical Engineering as an assistant professor this month. He received his PhD in electrical engineering from Boston University in 2010 and was awarded the outstanding doctoral thesis award by his department. He is presently a research scientist in the Department of Bioengineering at the California Institute of Technology. His main research is at the intersection of DNA nanotechnology, micro-fabrication, synthetic biology, optical physics, and materials science. His main research is on DNA origami and design, up to wafer-scale self-assembly with molecular-scale control, and possibilities for microfabricated devices. His present application areas involve quantum optics, nanophotonics, single molecule biophysics, and molecular diagnostics. In 2017, he received the Robert Dirks Molecular Programming Prize for his early career contributions to combining DNA nanotechnology and traditional semiconductor nanofabrication.

Richard Linares joined the Department of Aeronautics and Astronautics as an assistant professor last July. Before joining MIT, he was an assistant professor at the University of Minnesota’s aerospace engineering and mechanics department. Linares received his BS, MS, and PhD degrees in aerospace engineering from the State University of New York at Buffalo. He was a Director’s Postdoctoral Fellow at Los Alamos National Laboratory and also held a postdoc appointment at the United States Naval Observatory. His research areas are astrodynamics, estimation and controls, satellite guidance and navigation, space situational awareness, and space-traffic management.

Kevin O’Brien joined the Department of Electrical Engineering and Computer Science as an assistant professor last July. He earned a BS in physics from Purdue University and a PhD in physics from the University of California at Berkeley. He joined the Quantum Nanoelectrics Lab (Siddiqi Group) at UC Berkeley as a postdoc to lead development of multiqubit quantum processors. His work has appeared in top journals including Science, Nature Materials, and Nature Communications, among others. He has been an NSF Graduate Fellow. His research bridges nonlinear optics, metamaterials, and quantum engineering.

Negar Reiskarimian will join the Department of Electrical Engineering and Computer Science as an assistant professor in July. She received both a BS and MS degree in electrical engineering from Sharif University of Technology in Iran and is currently a PhD candidate in electrical engineering at Columbia University. She has published in top-tier IEEE IC-related journals and conferences, as well as broader-interest high-impact journals in the Nature family. Her research has been widely covered in the press and featured in IEEE Spectrum, Gizmodo, and EE Times, among others. She is the recipient of numerous awards and fellowships, including Forbes’ “30 under 30,” a Paul Baran Young Scholar award, a Qualcomm Innovation Fellowship, and multiple IEEE awards and fellowships.

Frances M. Ross joined the Department of Materials Science and Engineering as a full professor in December.  Previously she was a member of the nanoscale materials analysis department at IBM’s Thomas J. Watson Research Center, where she performed research on nanostructures using transmission electron microscopes (TEM) that allow researchers to see, in real time, how nanostructures form, and then to see how the growth process is affected by changes in temperature, environment, and other variables. Understanding materials at such a basic level has remarkable implications for many applications including semiconductors, energy storage, and more. Ross earned her BA and PhD at Cambridge University and was a postdoc at AT&T Bell Labs. She has been recognized with many awards and honors, including election to fellow in the American Physical Society, the Materials Research Society, the American Association for the Advancement of Science, the Microscopy Society of America, the American Vacuum Society, and the Royal Microscopical Society. She holds the Ellen Swallow Richards Chair.

Suvrit Sra joins the Department of Electrical Engineering and Computer Science and the Institute for Data, Systems and Society as an assistant professor this month. He was a principal research scientist in the Laboratory for Information and Decision Systems (LIDS) at MIT. He obtained his PhD in computer science from the University of Texas at Austin in 2007. Before joining LIDS, he was a senior research scientist at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. He has also held visiting faculty positions at UC Berkeley and Carnegie Mellon during 2013–14. His research bridges areas such as optimization, matrix theory, geometry, and probability with machine learning. More broadly, he is interested in data-driven questions within engineering, science, and health care. His work has won several awards at machine learning venues, as well as the 2011 SIAM Outstanding Paper Award. He founded the OPT Optimization for Machine Learning series of workshops at the Neural Information Processing Systems conference, which he has co-chaired since 2008; he has also edited a popular book with the same title (MIT Press, 2011).

Giovanni Traverso will join the Department of Mechanical Engineering as an assistant professor in July. He received his PhD in medical sciences from Johns Hopkins University in 2010. He subsequently completed medical school at Cambridge University, an internal medicine residency at the Brigham and Women’s Hospital (BWH), and his gastroenterology fellowship training at Massachusetts General Hospital. He is presently an assistant professor of medicine and associate physician in the division of gastroenterology at BWH. For his postdoctoral research at MIT, he developed a series of novel technologies for drug delivery as well as physiological sensing via the gastrointestinal tract. His present research focuses on developing efficient systems for drug delivery through the gastrointestinal tract, as well as novel ingestible electronic devices for sensing a broad array of physiologic and pathophysiologic parameters. He has been the recipient of the grand prize of the Collegiate Inventors Competition, a research fellowship from Trinity College, and was named one of the most promising innovators under 35 by MIT Technology Review. Traverso is a co-founder of Lyndra, Suono Bio, and Celero Systems which have been established to accelerate the translation of technologies developed by his team, for use in medical care.

Cathy Wu will join the Institute as an assistant professor in the Department of Civil and Environmental Engineering, with a core affiliation in the Institute for Data, Systems, and Society, in July. Wu earned a PhD in electrical engineering and computer science at the University of California at Berkeley, where she worked with the Berkeley Artificial Intelligence Research Lab, Berkeley DeepDrive, California Partners for Advanced Transportation Technology, and the Berkeley Real-time Intelligent Secure Explainable Systems Lab. Her research involves machine learning, robotics, intelligent systems, and mixed-autonomy mobility. She is the recipient of several fellowships, including the NSF Graduate Research Fellowship, the Chancellor’s Fellowship for Graduate Study at UC Berkeley, the National Defense Science and Engineering Graduate Fellowship, and the Dwight David Eisenhower Transportation Fellowship. She has been awarded the 2018 Council of University Transportation Centers’s Milton Pikarsky Memorial Award, the 2017 ITS Outstanding Graduate Student Award, and the 2016 IEEE International Conference on Intelligent Transportation Systems Best Paper Award. 

MIT News – Artificial intelligence