The goal of the program is to introduce undergraduates, with interests and background in both computing and music, in multidisciplinary research that creates computational and artistic approaches for exploring musical scores, with possible applications for automated performance guidance and advanced musical analysis.
In addition to serving as a Computer Science faculty, Tilevich is also pursuing a parallel career as a professional clarinetist, engaged with various orchestral and chamber music ensembles nationwide as well as in solo performances. Influenced by his music background and experiences, he has recently become interested in music informatics, applying computational approaches to music. The ideas that influenced this work stemmed from his recent work with students Galina Belolipetski and Arman Bahraini.
The world is increasingly connected through not only smart phones and email, but new and hungry gadgets, such as webcams, sensors, and monitors, which demand an ever-larger slice of the bandwidth pie.
Ali R. Butt, professor in the Department of Computer Science in Virginia Tech’s College of Engineering, was recently awarded a $516,000 grant to examine how to keep those gadgets from depleting the cloud computing bandwidth that the internet currently depends on.
“We are now just beginning to experience living super-interconnected lives,” said Butt. “Imagine five or 10 years from now when we will live in smart houses that use all kinds of sensors to monitor your safety, adjust the cooling or heating, and many other little devices and things that are only beginning to be used. These things require valuable computing abilities and information on the cloud to work properly and be useful.”
Butt, who also holds a courtesy appointment in electrical and computer engineering, is the principal investigator on the collaborative research project. He is partnering with Muhammad Shahzad, assistant professor of computer science from North Carolina State University, to design new techniques for massive data management and processing in the cloud, as well as study the actual nodes computers use to transfer information. The project is funded by the National Science Foundation.
Barbara Ryder, professor of computer science in the College of Engineering at Virginia Tech, has been conferred the title of professor emerita by the Virginia Tech Board of Visitors.
The emerita title may be conferred on retired professors, associate professors, and administrative officers who are specially recommended to the board by Virginia Tech President Tim Sands. Nominated individuals who are approved by the board receive an emeritus certificate from the university.
A member of the university community since 2008, Ryder served as head of the Department of Computer Science from 2008 until 2015. During that time, the number of undergraduate computer science degrees and majors doubled, and computer science research expenditures per tenure-track faculty member nearly tripled.
Ryder made significant contributions in teaching and research in her eight years at Virginia Tech. She had 23 research publications, including 12 in highly selective conferences and journals. She graduated one Ph.D. student, mentored three postdoctoral researchers and nine undergraduate researchers, and served on six additional Ph.D. dissertation committees.
She held the J. Byron Maupin Professorship of Engineering from 2008 until 2016, has been an Association for Computing Machinery Fellow since 1998, and is widely recognized internationally as a research expert on inter-procedural program analysis.
Jessica Zeitz Self had become accustomed to being in the minority. As she made her way through the doctoral program in the Department of Computer Science in the College of Engineering at Virginia Tech, Self, who earned her Ph.D. in 2016, was always mindful of the fact that she was one of only a handful of women. No wonder. Women who earned undergraduate degrees in computer science in 2015 were just 18 percent of the academic population, according to the National Science Foundation. When Self was hired as an assistant professor of computer science at the University of Mary Washington this year, she became part of a professional cadre of women that represents only 25 percent of the total STEM workforce in the industry.
Self’s collegiate experience at Virginia Tech allowed her to become a champion for diversity in her field, however. Being one of just three women out of a cohort of 40 in 2011, she made it a priority to weave diversity into her academic training. “One of the main issues with the gender gap in computer science is that girls simply aren’t exposed to what computer science is,” said Self.
Lenwood Heath gave the Clavius Distinguished Lecture in the Department of Computer and Information Science at Fordham University in New York City on Thursday, November 10. Dr. Heath is a professor in the Department of Computer Science at Virginia Tech.
MetaStorm is a joint research project with Liqing Zhang, associate professor in the Department of Computer Science at Virginia Tech, and Amy Pruden, professor in Civil & Environmental Engineering at Virginia Tech. Metagenomics is the capturing of microbial DNA sequence from environmental samples, where the environment might be soil, the ocean, or the human gut, for example. Especially important is that such samples contain multiple species of organisms, so the DNA sequence collected originates from a variety of unknown sources. Modern DNA sequencing results in a large number of short sequences, called reads, that are typically analyzed by using each read as a query to search a large database of known DNA or protein sequences. The accumulated results of such searches indicate what biological entities are present in the sample and what biological functions (proteins) are performed by organisms in the sample. Existing computational pipelines to perform these searches and subsequent analyses tend to be inflexible. We have developed a user-customizable analysis pipeline called MetaStorm that promises to support more targeted investigations of metagenomic data sets. MetaStorm provides the capability of assembling the reads into longer sequences, called contigs, that allow more precise identification of sequence matches. Also, MetaStorm allows the user to provide her own specialized sequence database to guide the search for particular classes of genes, for example, antibiotic resistance genes. MetaStorm is available as a free Web service where users upload their metagenomic data sets, select the desired analyses, and visualize the results in several novel ways.
Dr. Heath’s research interests include theoretical computer science, algorithms, graph theory, computational biology, and bioinformatics. Dr. Heath completed a Ph.D. in computer science at the University of North Carolina, Chapel Hill, an M.S. in mathematics at the University of Chicago, and a B.S. in mathematics at the University of North Carolina, Chapel Hill. Before joining the faculty at Virginia Tech in 1987, he was an instructor of applied mathematics and member of the Laboratory of Computer Science at MIT. He has supervised 11 computer science PhD students to completion and currently supervises 8 computer science graduate students. He has worked on a number of computational biology and bioinformatics projects funded by the National Science Foundation, including the current Beacon project, which captures, represents, infers, and simulates signal transduction pathways in plants. Other projects involve computational genomics, motif finding, and machine learning. Work in metagenomics is a natural fit to his interests in computational genomics.
Liang Zhao, computer science Ph.D. alumnus, has been named one of the Top 20 New Stars in Data Mining, provided by Microsoft searching. Microsoft searching mines the past 6 years of Knowledge Discovery and Data Mining (KDD) submissions and combines the big data from Microsoft to then achieve the ranking by an automatic algorithm.
Liang Zhao is an assistant professor in the Department of Information Sciences and Technology at the Volgenau School of Engineering. He is also affiliated with the Department of Computer Science. His research interests include data mining and machine learning, with particular emphasis on social media modeling, feature selection, and text mining. He has led the papers in prestigious conferences and journals including ACM SIGKDD, IEEE ICDM, SIAM Data Mining, PLoS One, and IEEE BigData, and served as the reviewer for leading conferences and journals such as ACM SIGKDD, ACM TKDD, IEEE ICDM, SIAM Data Mining, ACM TIST, ACM SIGSPATIAL, and Geoinformatica. He also owns two US IP discloses on social media mining.
A Virginia Tech project created to educate and inspire computational thinking was named one of the top projects by the readers of The MagPi, a magazine dedicated to work using Raspberry Pis, affordable and accessible mini-computers originally designed to teach computer programming to people of all ages.
Featured in the number two spot on the magazine’s list of the best Raspberry Pi projects of all time – and the highest ranking university project on the list – SeeMore is a massive fusion of art and technology created by two faculty members affiliated with the Institute for Creativity, Arts, and Technology – Sam Blanchard, an assistant professor of sculpture in the School of Visual Arts at Virginia Tech, and Kirk Cameron, a professor in Virginia Tech’s Department of Computer Science.
Mohammed Seyam, computer science graduate student, was one of four students among the latest group of Virginia Tech Global Perspectives Program scholars who visited and studied programs at universities in Switzerland, Italy, and France for 13 days earlier this summer. They and their fellow scholars researched trends and issues in higher education, teaming up with peers at the universities of Basel and Zurich in Switzerland. After returning to the United States, the Global Perspective scholars presented their findings at the Swiss Embassy in Washington, D.C., continuing a tradition established in 2010. Noha ElSherbiny, computer science graduate student, also participated in the program last year.
Wu Feng, Elizabeth and James E. Turner Jr. Faculty Fellow, and colleagues Adrian Sandu (CS), Eric DeSturler (Math), Chris Roy (AOE), and Danesh Tafti (ME) received funding from AFOSR for a project entitled “A Deep-Learning Approach towards Auto-Tuning CFD Codes”.
Wu Feng
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Francisco Servant’s paper was accepted in the International Conference of Software Engineering 2017: Francisco Servant, James A. Jones, “Fuzzy Fine-grained Code-history Analysis”. Proceedings of the 39th International Conference on Software Engineering (ICSE 2017), Buenos Aires, Argentina, May 2017. Dr. Servant also gave a talk about his research at Virginia Commonwealth University.
Francisco Servant
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Chris North, professor and associate director of the Discovery Analytics Center, along with colleagues Naren Ramakrishnan and Nicholas Polys received new funding from General Dynamics for a project entitled “CHITA: Computer Human Interactive Text Analytics”.
Dr. Chris North
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Ing-Ray Chen, along with his U.S. Army Research Laboratory (ARL) collaborators Dr. Jin-Hee Cho and Dr. Ananthram Swami, won the 2016 ARL Publication Award. The award ceremony was held on 11/8/2016 at the U.S. Army Research Laboratory in Adelphi, MD. This award goes to Dr. Chen for his outstanding contributions toward a group effort on the publication “A Survey of Trust Management for Mobile Ad Hoc Networks”. This publication provides a survey of trust management schemes developed for Mobile Ad Hoc Networks (MANETs) and discusses generally accepted classifications, potential metrics, and trust metrics in MANETs. Future research areas on trust management in MANETs based on the concept of social and cognitive networks are also discussed in this publication. The team’s outstanding contributions reflect great credit upon them, the U.S. Army Research Laboratory, the U.S. Army Research, Development and Engineering Command, and the Department of the Army.
The goal of the program is to introduce undergraduates, with interests and background in both computing and music, in multidisciplinary research that creates computational and artistic approaches for exploring musical scores, with possible applications for automated performance guidance and advanced musical analysis.
Read More
Eli Tilevich
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Ed Fox took part in the Coordinated, Behaviorally-Aware Recovery for Transportation & Power Disruptions project. Read More
Edward A. Fox
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Daphne Yao and Xiaokui Shu from IBM Research gave a 1.5-hour-long tutorial at the 23rd ACM Computer and Communications Security (CCS) Conference at the Hofburg Palace in Vienna, Austria on October 25th. The tutorial is on program anomaly detection techniques, specifically how to use data analytic and program analysis methods to accurately predict anomalous behaviors of complex software and protect critical systems against zero-day exploits. ACM CCS is a top computer security conference with record breaking 1,000+ attendees this year. The Yao group is one of the leading research groups on systematizing and democratizing data-driven security techniques for programs. Xiaokui is a former PhD student of Dr. Yao, who graduated in the spring of 2016.
Lenwood Heath gave the Clavius Distinguished Lecture in the Department of Computer and Information Science at Fordham University in New York City on Thursday, November 10. Read More
Dr. Heath
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Kirk Cameron (PI) and co-PIs Ali Butt, Yili Hong, Layne Watson, Danfeng Yao, and Godmar Back received funding for a significant new project entitled, “VarSys: Managing variability in high-performance computing systems.” This high-profile award will allow the PIs and their students to pursue important research in systems, and add to the visibility of stack@cs and the CS department. Read More
Kirk CameronAli ButtDanfeng YaoLayne WatsonGodmar Back
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Daphne Yao and her collaborator at Texas A&M Chemical Engineering Department, Victor Ugaz, are excited to start their new inter-disciplinary NSF EAGER project on anonymous crowdsensing for citizen science, specifically for early epidemic detection. Daphne’s group is working on designing novel and scalable cryptographic signature schemes to support anonymous-yet-accountable sensing. If successful, this anonymous sensing framework together with the miniature smartphone-powered bacteria-testing PCR devices being invented in Victor’s lab will allow volunteers to contribute to national or global epidemic monitoring anywhere and anytime, without any privacy concerns. The NSF’s EAGER program is specifically designed for this type of new and high-risk high-reward research.
Daphne is an associate professor of computer science, Turner Fellow, and L-3 Fellow at Virginia Tech. Professor Ugaz is the holder of the Charles D. Holland ’53 Professorship and Thaman Professorship at Texas A&M University.
Danfeng Yao
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Eli Tilevich received funding from NSF for his project entitled, “Addressing Resource Scarcity via Distributed Mobile Services.”
Eli Tilevich
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Steve Edwards’s newly funded NSF project, “Promoting a Growth Mindset Using Automated Feedback” is a collaboration with Dr. Manuel Perez at the University of North Carolina at Charlotte and with Berea College.
Yang Cao’s newly funded NSF project, “Identifying and modeling the advantages of regulating protein abundance in Caulobacter crescentus” is a collaboration with John Tyson (VT Biological Sciences) and Kathleen Ryan (UC Berkeley).
Yang Cao
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Ed Fox (PI) and Andrea Kavanaugh received funding from NSF for a new project entitled, “Global Event and Trend Archive Research (GETAR).”
Edward A. Fox
Andrea Kavanaugh
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Chandan Reddy’s newly funded NSF project is entitled, “An Integrated Predictive Modeling Framework for Crowdfunding Environments.”
Chandan Reddy
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T.M. Murali and Kurt Luther received NIH funding for their collaborative project “Using Crowdsourced Design to Visualize Effects of Environmental Chemicals on Signaling Networks”.
T.M. MuraliKurt Luther
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Adrian Sandu received NSF funding for his proposal “Multirate Multimethod Time Integration Algorithms for Multiscale Multiphysics Problems”.
Adrian Sandu
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C.T. Lu received support from Northrop Grumman for “Cyber and Advanced Data Analytics and Processing.”
Dr. Lu
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Wu Feng and PhD student Vignesh Adhinarayanan received the Best Paper Award at the IEEE International Symposium on Workload Characterization.
The energy of a new academic year is always welcome. In addition to greeting new students, we often have the privilege of bringing new faculty members in to the department. This year we are very glad to welcome Associate Professor Chandan Reddy and Assistant Professor Gang Wang, each of whom brings critically needed teaching and research expertise in important growing areas. Dr. Reddy earned his PhD at Cornell University. He joins us after serving on the faculty at Wayne State University for several years. Chandan is an expert in data mining and machine learning, with applications to healthcare analytics, bioinformatics and social network analysis. He is part of our department’s presence in the National Capital Region (NCR), where he will also join the Discovery Analytics Center. Dr. Wang received his PhD from the University of California, Santa Barbara. His research and teaching interests are in security, with a particular focus on Internet measurement, mobile networks, and the interplay between human-computer interaction (HCI) and security. Stay tuned for more hiring news in the year ahead—everywhere we look we see growth and opportunities for computer science, so we look forward to recruiting more excellent faculty, staff, and students to join our team!
