My research interests include computer system security and embedded systems with emphasis on applications to implantable medical devices and low-power, RFID-scale computers. We publish in venues such as IEEE Oakland, USENIX Security, ASPLOS, SIGCOMM, USENIX FAST, and MobiSys. We also publish in computing journals, medical journals, and workshops such as IEEE Trans. on Computers, ACM HotPower, and USENIX HealthSec.

A postdoc would interact with a half dozen energetic PhD students and be provided the resources to increase his or her publication pipeline. He or she would be provided training helpful to establish funding for one’s research career. The research would also involve regular interactions with collaborators at MIT, Berkeley, and the Harvard Medical School—providing the postdoc with special opportunities to interact with influential researchers from several schools.

The postdoc would also have access to about a million dollars worth of equipment for embedded systems research: differential power analysis workstations, scopes, signal generators, logic analyzers, FPGA boards, software radios, custom-built tools for measuring power, custom-built programmable RFID tags, explanted medical devices, etc.

About the Security & Privacy Research (SPQR) Lab: http://spqr.cs.umass.edu/

The SPQR Lab focuses on research topics of interest to the security and embedded systems communities, often with emphasis on matters of social relevance. Half of the graduated students are women. Student honors include best paper awards from USENIX Security and Oakland.  Half of the PhD students have NSF graduate research fellowships. The research results have been featured in the New York Times, NPR, and MIT Technology Review. The publications also prompted rethinking at the Food and Drug Administration, the Federal Reserve system, and the Federal Trade Commission.

The Department of Computer Science by the Numbers: The CS department has 42 faculty, 230 graduate students, 294 undergraduate majors, and 1,600 classroom students. Our partnerships within UMass and the Five College System provide unique collaboration opportunities (and jobs). For the 2009 fiscal year, CS research funding exceeded $15.9 million. CS researchers consumed 16,026 cups of coffee (caffeinated) and 2,601 cups of decaf followed by tea and
mocha. Various types of espresso have a cult following.

http://www.cs.umass.edu/

About the Amherst area: The Amherst/Northampton area is beautiful, cosmopolitan, liberal and cited as #1 of the top 5 college towns in the USA! The area offers diverse cultural activities, excellent restaurants and amazing natural surroundings. Home to the Five Colleges—Amherst College, Hampshire, Mt. Holyoke, Smith, and the University of Massachusetts—the area is full of educated folks. 42% have graduate degrees—nearly the highest percentage in America. Proximity to Boston and New York provides further options for collaboration and recreation.

The University of Massachusetts is an Affirmative Action/Equal Opportunity Employer. Women and members of minority groups are encouraged to apply.

Overview: I lead a multidisciplinary group that examines a range of human-centered computing issues. A main area of current research is in “crisis informatics.” This line of research combines human-centered computing and socio-technical empirical study with software engineering; natural language processing and information extraction; information visualization; and network security, privacy and scalability. My group conducts empirical research of on-the-ground emergency activities as well as CMC-based interaction, which has had national and international impact. We continue to drive our results toward design and implementation of new forms of Computer-Mediated Communication for use in crisis situations by both citizens and responders. Our goal is to break new ground on delivering technology innovation to those who are most in need of it.
Background: In an increasingly global society and on a planet experiencing effects of climatic change, large-scale emergencies both instigated by humans and arising from nature can devastate human life and a tightly-woven social fabric. A prevailing hope is that information and communication technology (ICT) aimed at official responders can help reduce impacts of large-scale disruptions, including political crises, natural disasters, pandemics, and terrorist threats. Our program builds on the hopes of ICT, but takes a different approach, focusing instead on an understudied but critical aspect of large-scale emergency response—the needs and roles of members of the public. By viewing the citizenry as a powerful, self-organizing, and collectively intelligent force, ICT can play a transformational role in crisis. Our research aims to leverage the knowledge of members of the public through reuse of publicly available computer mediated communications. The research that our multid isciplinary group will conduct includes the study and integration of heterogeneous information and–with techniques of information extraction through natural language processing as well as trust and reputation modeling–add meta- information to help users assess context, validity, source, credibility, and timeliness to make the best decisions for their highly localized, changing conditions.

Intellectual contributions include the expansion of broad thinking about societal-scale interaction in the area of crisis informatics, and bridging information, cognitive and computer science. This work also includes consideration of implications to emergency management and telecom policy. Innovation will be based on empirical study of CMC and citizen information needs in a range of international crisis events, with the development of methods to analyze such behavior in light of privacy, security, ethical and policy issues. Our project integrates technology and emergency management partners in its mission.
Skills. A CI Fellow working with me is first and foremost encouraged to establish a line of independent research that follows their PhD research trajectory. However, I invite applicants to extend their current research to bridge with our large research venture that includes 7 faculty and numerous graduate students for mutual benefit.

To that end, a number of skills would fit well into our larger research effort: ethnographic research on sociotechnical systems; policy and institutional considerations; systems building of collaborative environments; social network analysis; information visualization; data mining and natural language processing. Previous knowledge and experience with emergency and disaster response is welcomed but not required.

Iris biometrics, 3D face recognition, biometric and identical twins, face recognition in video, video analytics in autism therapy, disaster damage assessment from aerial images.

We have several interesting projects in computational science education that could use the efforts of a CIfellow to develop effective learning materials across the sciences and math, and with the use of parallel computing in the process.

Electrical-engineering (ee) degrees. Learning in fields such as art/architecture.
Widely published in archival journals. Three edited books. Authored encyclopedia articles.
Doctorate: dissertation in stochastic control (ee); mathematics and statistics minors; reading knowledge of Russian and French. Now use Google-translate to write Russian.
Rand Corporation employment and UCLA projects on applied problems ranging from operations research to biomedical computing.

Emeritus Professor since 1994.

My research is in Human Centered Computing. The goal of my research is to design, implement and evaluate innovative solutions to real world problems. My research integrates people, culture and technology to address societal issues. In general, Human Centered Computing research is highly interdisciplinary and applied. My areas of specialization within HCC are Natural Interactive Systems, Advanced Learning Technologies/Intelligent Tutoring Systems, Ethnocomputing/Culturally Aware Computing, Human-Computer Interaction, Databases and Data Mining.

In Natural Interactive Systems (NIS), I am interested in creating user interfaces where the user interacts with the system using speech or multimodality. I am researching design, implementation and the evaluation of naturally interactive systems. One of my research projects in NIS is called Prime III. Prime III is a secure, multimodal electronic voting system. Prime III provides an easy to use multimodal user interface that allows greater participation in the electoral process. Voters that can’t read, hear, have visual impairments or physical impairments, can still vote using Prime III.

In Advanced Learning Technologies/Intelligent Tutoring Systems, my research aims to create and study applications that employ intelligent strategies that personalize instruction. In some implementations, this involves the use of spoken language systems and Animated Pedagogical Agents (APAs). I am researching the use and impact of culturally relevant environments that use culture in the education or training environment. This is a form of Ethnocomputing or culturally releveant computing. In my latest research efforts, I am researching game-like interfaces that provide naturally interactive instruction using animation, artificial intelligence, and speech. An example of this work can be seen at http://www.aadmlss.com.

In Ethnocomputing or Culturally Aware Computing, I am investigating the use and impact of culture in computing. Our research suggests that culture can be used to increase interest, user satisfaction and ease of use in computing applications. I am also working on information technology workforce issues. Specifically, I am investigating pedagogies and programs that broaden participation in computing for people in underrepresented groups. I am studying effective practices that help recruit, retain and graduate people from underrepresented groups in Science, Technology, Engineering and Mathematics (STEM).

In Databases and Data Mining, I am investigating data mining for human centered applications, e.g. applications where the data represents people, and tools that answer complex questions from business intelligence, education, and society in general. For example, I use clustering algorithms to process admissions applications in order to increase holistic diversity. This tool is called Applications Quest, http://www.ApplicationsQuest.com. I am also interested in educational data mining.

1. Distributed and local research collaborations, and what makes them successful (archival, survey, and qualitative research).
2. Communication and services using human-robot interaction (see Snackbot.org).
3. Visualizations for collaborative analysis.
4. Social Computing.

ANDREA: I am a scholar of Public Informatics. This is a term I have coined to best situate my work at the intersection of people, information and technology in a public setting. My work in Public Informatics has contributed to the understanding of the patterns, behaviors and barriers to coordination through technologies among public institutions and contributed to addressing some of the most critical social problems facing the world today, such as humanitarian relief, emergency response, and social and economic development.

DISTAER RESPONSE COLLABOATION: In 2007 I received a grant from the US National Science Foundation to study collaboration and decision-making through technologies among humanitarian relief organizations. This initial seed has spurred my research team to eventually gain three additional grants, and to published five articles and fourteen conference papers from this research. My early findings of this research point to unique network structures and barriers that exist in this form of technical coordination in this sector at various levels of participating organizations. It is in these collaboration efforts that I find global collaboration processes, projects and challenges that are both unique in their context and setting and similar to other IT collaboration efforts more universally. Within this context, information systems collaboration is itself a goal, but it also frequently serves a supporting role in fostering collaboration in other units by promoting enhanced information sharing.
The question that I seek to answer in all of these cases is in what form would technologies have to take to enable fruitful collaboration and information sharing among organizations to improve the delivery of emergency services and goods immediately post disaster.

MICROBLOGGING DISASTER RELIEF: Much has been written concerning the value of using messaging and microblogging data from crowds of non-professional participants during disasters. Often referred to as microblogging, the practice of average citizens reporting on activities “on-the-ground” during a disaster is seen as increasingly valuable. Data produced through microblogging is seen as ubiquitous, rapid and accessible and it is believed to empower average citizens to become more situationally aware during disasters and coordinate to help themselves. However, despite the evidence of strong value to those experiencing the disaster and those seeking information concerning the disaster, there has been very little uptake of message data by large-scale, international humanitarian relief organizations. The real-time message data being contributed by bystanders and those affected by a disaster has been deemed as unverifiable and untrustworthy, and it has not been incorporated into established mechanisms for organizational decision-making. Due to the perceived lack of authentication, large-scale responders have been reluctant to incorporate microblogged data into the process of assessing a disaster situation and the subsequent decision-making process to send aid workers and supplies to disaster locations. Committing to the mobilization of valuable and time sensitive relief supplies and personnel, based on what may turn out be illegitimate claims, has been perceived to be too great a risk. We propose three socio-technical solutions to surpassing adoption bottlenecks, namely bounded microblogging, data as contextual data, and/or use of computational solutions.

1. Usability and information visualization applied to biomedical informatics, including bioinformatics and clinical informatics
2. Collaborative data portals in support of bioinformatics, including semantic applications.
3. Translational research tools, including social networking & collaboration finding, coordination tools and resource ontology systems.

My research focuses at the CyLab Usable Privacy and Security Laboratory focusses on usable privacy and security. My current projects fall into several overlapping areas: privacy decision making (including applications of P3P), user-controllable security and privacy (including location-sharing privacy and file access control in the home), and usable cyber trust indicators. See the CUPS website for more information.

Application of complex adaptive systems to:
- economics
- ecology
- policy
- healthcare
- conflict resolution
- social issues
- education
- game theory

Understanding the minimal set of fundamental properties of complex adaptive systems that define the emergent properties of such systems

Understanding the relationship between energy, information, and entropy in complex systems

Defining and measuring the degree of complexity of complex systems

Understanding verification and validation of complex systems

Designing a general complex adaptive systems tool for developing applications in diverse areas

Developing nature/brain-inspired computational platforms

Understanding creativity

Technology is rapidly changing the nature of work as we know it. These changes have made possible a variety of new organizational forms but increased the demands on human attention.



We are interested in understanding and optimizing allocation of attention in networked organizations. Our research includes: qualitative study of attention and coordination in networked knowledge work, experiments on task and social influences on direction of attention, quantitative analysis of log data on communication and task-switching behaviors in information centric work settings, and development of novel tools for self-regulation, productivity support, communication management, and coordination in creative work.

IT economics, strategy, and policy issues, including economics of network architectures (e.g., incentive-centered design, industry structure, competition and innovation policy, clean-slate design); economics of information security (e.g., rational behavior, interdependent security, insurance versus protection, risk management); peer-to-peer (p2p) incentive mechanisms and business models; information and communication technologies and development (ICTD).

I am interested in changing what we teach and how we teach. In large (300+) classes to small seminars. From CS1 and CS2 to a course that’s IP^2 = internet protocol X intellectual property for non-majors. I’d like to design courses and modules around problems first, techniques and skills seconds. Help change education at Duke and then across the country with the roll out/pilot of a new AP course being developed by the College Board with sponsorship from NSF. Problems are the heart of all these initiatives, but developing and using problems is a complex though rewarding undertaking

I am looking for a postdoc who is interested in working in the area of communications policy. The candidate should have a Ph.D. in Computer Science or Electrical Engineering and be knowledgable about Internet architecture, protocols, and standards. The candidate does not have to have current knowledge about communications policy, but should be interested in learning about economic and legal issues in networking.

I am currently working on the following communications policy issues:
(1) net neutrality — what types of network differentiation or discrimination should be allowed?
(2) traffic management — what types of traffic management by an ISP should be allowed?

Anura Jayasumana is a Professor of electrical and computer engineering at Colorado State University, where he also holds a joint appointment as Professor of computer science. He directs the Computer Networking Research Laboratory at CSU, and is a member of NSF Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere. At CSU, he has supervised over 15 Ph.D. and 45 M.S. theses, and taught courses ranging from freshmen undergraduate courses to specialized graduate courses in Electrical and Computer Engineering. He has published over 200 research papers and a book. He has served as a consultant to numerous companies ranging from start-ups to Fortune 100 companies.

My research concerns the development of information infrastructures, especially in climate science and other Earth system sciences. I lead the Monitoring, Modeling, and Memory Project, a 3-year comparative, qualitative study of several scientific cyberinfrastructure projects. We use ethnographic and interview techniques to explore work practices, software development, and issues involving data sharing and metadata. I’m also co-PI on a new project, “Scaling Up: Introducing Commodity Governance into Community Earth Science Models.” Our goal is to understand and promote well-functioning sociotechnical infrastructure for governance of community Earth system models (climate models). The project team includes a mix of social scientists, software developers, and Earth system scientists from the University of Michigan, the National Center for Atmospheric Research, the National Oceanic and Atmospheric Administration, the Geophysical Fluid Dynamics Laboratory (Princeton), and the University of Colorado at Boulder. The project is funded by the National Science Foundation. My most recent book is A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming (Cambridge: MIT Press, 2010).

natural language processing, natural language processing applications to real life problems including policy problems, information extraction, named-entity recognition, paraphrase recognition, text summarization, natural language processing evaluation, medical language processing, natural language processing on clinical patient records, medical informatics, biomedical informatics, data mining, information retrieval. Machine learning, supervised and semi-supervised approaches, expert systems. Innovative applications of the above.

Olin provides a unique opportunity to explore contextualized computing/engineering education with a strong design component. My research interests are broad within AI (most recently semantic web/web 2.0 but also including cognitive robotics, HCI, knowledge representation and reasoning, programming languages). I spent ten years on the faculty at MIT before leaving to help found Olin; I would like to share what I’ve learned in both of these contexts. A CI Fellow working with me would have the opportunity to pursue both a research agenda and explorations into curricular/pedagogic innovations, working in a close-knit and collegial community with regular conversation about learning, contextualization, usability. Current and new projects focus on the role of sketching/drawing, mobile devices/social networks, support for aging and/or cognitively challenged populations, and computational thinking/small footprint curricula; collaborations through Olin’s new Initiative for Innovation in Engineering Education would also be encouraged.

Irfan Essa works in the areas of Computer Vision, Computer Graphics, Computational Perception, Robotics and Computer Animation, with potential impact on Video Analysis and Production (e.g., Computational Photography, Image-based Modeling and Rendering, etc.) Human Computer Interaction, and Artificial Intelligence research. Specifically, he is interested in the analysis, interpretation, authoring, and synthesis (of video), with the goals of building aware environments, recognizing, modeling human activities, and behaviors, and developing dynamic and generative representations of time-varying streams.

He is motivated to build smart intelligent machines that can interact with people. He is also interested in machines that can handle large amounts of media and wants leverage social networks to build systems for large groups of people to interact and create smart media.

Scott Mainwaring has a broad and eclectic background in computer, cognitive, and social sciences. For the last 15 years, Scott has applied his skills in ethnographic inquiry and analysis to the revolutionary potential for information and computing technologies in everyday life. At Interval Research Corporation, where he was a postdoc and later staff researcher, Scott collaborated with designers, business planners, engineers, and documentary filmmakers to design domesticated media spaces, virtual worlds, ICT-augmented television, and services for the Baby Boom generation. At Intel, Scott explores the relationships between individuals and the systems in which they find themselves embedded. For the past several years, Scott has been researching emerging technologies of digital money and financial inclusion and how they play upon money’s emotional, cultural, and religious meanings. His current focus is on the processes creating and disrupting “middle class” consumers in both developed and developing countries, and how ICTs are implicated in them. Scott has an A.B. in computer science from Harvard University and a PhD in cognitive psychology from Stanford University.

Medicine is an information-rich profession. The information explosion demands new ways of educating and assessing medical professionals. Successfully navigating information has profound implications for patient safety.

My research interests focus on the use of advanced computer technologies in the continuum of healthcare education. My current work utilizes various simulation techniques (desktop, virtual reality, and high fidelity simulation)in healthcare education and patient safety.

Our research in the Simulation Center includes: 1) investigating the use of simulation in the development and implementation of clinical trials, 2) defining errors and optimizing human performance in clinical trials, 3) investigating “situation awareness” in the perioperative environment, 4) objectively measuring teamwork and communication in high risk medical environments, 5) exploring the use of simulators in the development and evaluation of new medical devices, 6) developing and assessing virtual interactive environments for team training, 7) comparing and contrasting traditional and new forms of team training, and examining what factors differentiate novice and expert healthcare practioners.

Virtual Command and Control Systems for Emergencies, Gray literature recommender systems, Collaborative Scenario Creation Planning, Systems, Structural Modeling systems, Risk Modeling, Design of Collaborative Intelligence Systems, Group Decision Support Design

High-Performance Computing, Data Intenstive Computing, Parallel I/O and storage, data mining, computer architecture, security, business, medical and bioinformatics applications, power aware systems

Information technology and public policy. Computer security and privacy. E-government and civic technologies. Electronic voting. Cyber-security policy. Web security.

My research interests include Internet workload/performance data collection, analysis and visualization, particularly with respect to collaboration/cooperation and sharing of analysis resources. For a more complete overview of research interests and publications see http://www.caida.org/ .

Research in the use of advanced architecture computers for modeling and simulation, especially in the area of numerical solutions of PDEs arising from large-scale scientific computing problems. Current interests include applying simulation and modeling techniques in the area of systems biology, tumor modeling, heart simulations and other biological areas, as well as interactive visualization on parallel computers, parallel reservoir/groundwater simulation, turbulent convective flows, multigrid techniques, multi-resolution wavelets and wave propagation.

We expect to grow our high performance computing resources and to aggressively pursue external funding opportunities. Areas of interest include performance analysis, application execution and optimization on multicore and heterogeneous architectures, and very large scale data intensive applications. We are interested in building upon existing collaborations in large-scale geospatial image analysis and in building new collaborations in computational modeling with our academic and industrial collaborators.

I direct the Center for Natural Language Processing at Syracuse University. My main interests are the use of NLP techniques to improve access to information, information retrieval system design and implementation, text mining, and text classification.

S. Ramaswamy is currently Professor and Chairperson of the Computer Science Department at the University of Arkansas at Little Rock. His research interests on behavior modeling, analysis and simulation, software stability and scalability – particularly in the design and development of better software systems, and intelligent and flexible control systems. He is currently Professor and Chairperson of the Computer Science Department at University of Arkansas at Little Rock. At UALR, he is currently associated with several active research initiatives, which include: the statewide program manager for WiNS (Wireless Nano-sensors and Systems) center, the principle investigator at UALR for a High Performance Computing initiative, and the research coordinator for collaboration on Engineering Innovative Software Systems for Marine Transportation Logistics with the National Institute of Applied Sciences (INSA) in Rouen, France., where he was a visiting research professor in 2006 and 2007. During the summers of 2003, 2004 and 2007, he was a visiting research professor of Computer Science in the Institute of Software Integrated Systems (ISIS) at Vanderbilt University as part of a NSF ITR project – Foundations of Hybrid and Embedded Software Systems. In 1994-1995, and subsequently during the summer months of 1996 and 1998, he was a post-doctoral research fellow / visiting scientist in the Laboratory for Intelligent Processes and Systems (LIPS) at the University of Texas at Austin where he helped with research efforts on Sensible Agents. Dr. Ramaswamy has published over 100 publications and is a featured reviewer for the ACM Computing Surveys. Dr. Ramaswamy earned his Ph.D. degree in Computer Science from the Center for Advanced Computer Studies (CACS) at the University of Louisiana at Lafayette. He is a member of the Society for Computer Simulation International, Computing Professionals for Social Responsibility, a Senior member of the IEEE and a Senior member of the Association of Computing Machinery (ACM).

Despite my utterly lack of an updated web page, our lab conducts research in a number of areas, including computer networking (currently supported by two three NSF awards), the design of software and cognitive radio systems (supported by NSF), peer-to-peer software with a particular emphasis on privacy and anonymity (sponsored by parts of the Cable industry). Recently funded projects include ans NSF FIND networking project, compiler validation for DARPA, NSF education grants through the GK-12 program and various gifts from Intel, Google, Nokia and other companies.

Specific areas of interest for post-docs are in cyber-physical systems, reliable reconfigurable systems, compilers and run time systems for multi-core computing.

Andrea H. Tapia is an Assistant Professor at the College of Information Sciences and Technology at Penn State University. Dr. Tapia is an academic with expertise in social research methods and social theory, applying those to the study of information and communication technologies (ICT) and their context of development, implementation and use. In a more philosophical sense, the central premise on which Dr. Tapia’s research interests rests is that ICTs are not value-neutral tools. Instead, they are continuously imbued with values from the human context.

Because of Dr. Tapia’s sociological training, this context is groups, particularly institutions. Institutions are identified with a social purpose and permanence, transcending individual human lives and intentions, and with the making and enforcing of rules governing cooperative human behavior. Institutions are not natural. They must be seen as socially constructed, artifacts of a particular time, culture and society, produced by collective human choice, though not directly by individual intention.

Dr. Tapia’s guiding research question is “What is the role that technology plays in institutional patterns of power, hierarchy, governance, domination and resistance?” The institutions on which Dr. Tapia’s research gaze has fallen all have been in the public sector. She is essentially interested in government, education, humanitarian relief, community organizations and non-profits, emergency responders and military, and groups engaged in collective action or social movements.

Dr. Tapia’s Research Goals are (1) to theorize on the relationship between social and public institutions and information and communications technologies, (2) to extend current methodologies measures of the effectiveness of technological and social interventions in public institutional spaces, (3) to test theories and methodologies through the development, implementation and evaluation of intervention programs, and (4) to draw on this scientific understanding to provide recommendations for public policy and community-based initiatives that take into account the issues confronting institutions in the information age.

Dr. Tapia’s work has been funded by the US National Science Foundation, the US Department of Defense, the United Nations, and Penn States’ Schreyer’s Honors College.

Dr. Tapia is seeking a post doc for two research projects.

COHORT: see http://cohort.ist.psu.edu
COHORT is Coordination of Humanitarian Organizations in Relief using Technology. COHORT is an academic research program that seeks to understand the issues that humanitarian organizations face in their coordination efforts, particularly in the domain of information and communication technologies.

EVOSTA: see http://evosta.ist.psu.edu
EVOSTA is Examining Virtual Organizations through Socio-Technical Analysis
As the options for obtaining and sharing scientific information and problem-solving expand, there is an increasing need to understand and support the sociotechnical requirements of distributed scientific collaboration.

1. How to understand issues of implicit and explicit communication of information in distributed control systems?

2. How to move cognitive radio beyond being the “medical marijuana” of wireless communication? In other words, doing what we need to do to build a real theory of “spectrum zoning” that is intelligible for the economics/law/public-policy community while reflecting the fundamentals of information theory and distributed systems. Light-handed regulation is a key issue.

3. What will it take to understand “computational complexity” in terms of power consumption? Communication systems seem to be the right first choice to study this.

4. How do we understand the impact of human free will in distributed control/sensing or information processing systems that involve humans in the loop? This one is a lot more open ended.

My research interests lie in the investigation of automated approaches to sharing information and software capabilities across organizational boundaries, sometimes referred to as enterprise integration. With respect to this area, my investigations cover the spectrum of software engineering: design, specification, proof of correctness, implementation/experimentation, performance evaluation, and application.

My current research is focused in three core areas:

1. The identification of and response to “policy-making technology” — providing institutions within society with means for identifying instances where technology is embedding, and sometimes displacing, policy choices and strategies and processes for managing this phenomena consistent with the institutions place in society;
2. The effect of surveillance, dataveillance, and network architecture on norms and policies around privacy, public places, and policing; and
3. Organizational behavior surrounding the conceptualization and institutionalization of privacy, security and trust, and in particular how law influences the understanding and operationalization of these values.

My primary area of research is the long-term curation of digital collections. I’m particularly interested in the professionalization of this work and the diffusion of existing tools and methods (e.g. digital forensics, web archiving, automated implementation of policies) into professional practice. I’m editing and providing several chapters to a forthcoming book entitled, I, Digital: Personal Collections in the Digital Era. I’ve also initiated an international Personal Digital Archives Working Group (PDAWG).

The VidArch project (http://ils.unc.edu/vidarch/) has investigated the collection of online video, with a particularly emphasis on contextual information. My contributions have included an information model for contextual information in digital collections (http://sils.unc.edu/research/publications/reports/TR_2007_04.pdf) and several empirical studies of online selection and collecting strategies.

Other current projects include DigCCurr and DigCCurrII (http://ils.unc.edu/digccurr/), which are developing and implementing courses of study and practical engagement opportunities in digital curation. I’ve developed an extensive Matrix of Digital Curation Knowledge and Competencies (http://www.ils.unc.edu/digccurr/products.html), based on various data sources and grounded in professional literature.

Past research projects have included CAMiLEON (http://www.ils.unc.edu/callee/dig-pres_users-perspective.pdf), which examined migration vs. emulation as digital preservation strategies; and an in-depth case study of the development of the OAIS (http://www.ils.unc.edu/callee/dissertation_callee.pdf).

Our current department has nine faculty members with a range of specialties. Because ours is a small, undergraduate-only program, the primary undertaking of a CIFellow at Harvey Mudd College would be teaching. Thus, we are seeking passionate teachers first and foremost. There will be opportunities (1) to co-teach introductory courses (2) to develop and deploy one or more advanced electives in an individual area of specialization and (3) work with students on (your own) research projects accessible to talented undergraduates.

Our curriculum also offers an unusual opportunity to co-advise a year-long “clinic” project, in which four undergraduates specify, design, and deliver a finished product to a sponsoring company. Because of this “clinic” program, software engineering is of particular interest to us.

I am an associate professor in Computer Science and Engineering at Washington University where I am a member of the Applied Research Laboratory (ARL). While my interests span several areas of computer and networking systems, my current research projects focus on: A) designing multicore processors and memory systems, B) building fast, programmable network routers with multicore processors, and C) building novel networks that use fast, programmable network routers.

Two additional research directions have become important to me. In recent years, we have made some major impacts in flexible pattern search on multi-gigabit network links. Also, If you are intrepid, you might be interested in a new project, kicking off this summer, to design and prototype a personal computing platform capable of instrumenting and digitizing the basic factors of human activity.

In 2007, I was invited to join the DARPA Computer Science Study Panel. Previously, I was a graduate student at the University of Washington and an undergraduate at Illinois Wesleyan University.

My interests are in economics of security and value-sensitive design. I welcome the recently graduated who want to join these projects or work on closely related efforts of their own.

Under the economics of security rubric I am working on three projects: the insider threat, eCrime, and IPv6 diffusion. In the eCrime vein I am examining how an individual can utilize their own histories and social network to identify malicious parties.

The eCrime work combines some elements of design for values, because the focus of NetTrust is on empowering individuals to use their own information without having to share it with third parties. Please see http://www.ljean.com/NetTrust/.

In contrast, the work on defending against the insider threat is focused entirely on the economics and usability elements of the solution. Our work on incentive-aware access control combines incentives for the individual employee and the organization to align the interests of these stakeholders in securing information while getting the job done.

The third project is an examination of adoption of IPv6 and corresponding depletion of the IPv4 unallocated pool. Please see my general page, http://www.infosecon.net/, for information on economics of security and privacy.

In design for values, I am part of a team working on the ethical and privacy-enhancing use of ubiquitous technologies for elders. Elders are most often targeted for fraud, but least often considered in the design of security technology. Please see http://ethos.indiana.edu for more information on that project.

My interest in secure and private health information combines all of these elements: economics of security, privacy-aware design, incentive engineering, and eCrime. Please see the workshop I am chairing, “Security and Privacy in Medical and Home-Care Systems” http://www.infosecon.net/SPIMACS/ for more information.

You are welcome to contact my previous students if you are seeking independent information about how I might function as a mentor. The recently-graduated or graduating students are Camilo Viecco, Allan Friedman and Warigia Bowman at www.cs.indiana.edu/~cviecco/, allan.friedmans.org/ and www.warigiabowman.com/.

High performance computing (HPC), international engagements in HPC, cyberinfrastructure for societal advancement and inclusion, issues related to gender and diversity in computing, cyberinfrastructure education, tools and technologies for impacting education, electronic medical records and health informatics related to child health and obesity monitoring,

I am interested in many aspects related to the dynamic assignment of electromagnetic spectrum. including spectrum trading, secondary spectrum use, opportunistic spectrum use, and cognitive radio systems. I am also generally interested in situations which require technical coordination among competing firms, including standards setting and system synchronization.

My research focuses on the security and availability of complex distributed systems. To date this has included the characterization of specific network threats (e.g., worms) and techniques for measurement of these threats at scale (e.g., distributed network telescopes). More recently I have been focused on the interplay between the attackers and the defenders of these systems including the creation of techniques that allow defenders to hide from attackers as well as through the classification and analysis of complex attacker tool ecosystems.

My work involves the social, historical, and policy aspects of IT as broadly conceived. Recent projects have included the social informatics of diabetes, the Internet and American business, information seeking behavior in everyday American life, the history of privacy in America, offshoring of IT services, interdisciplinary scholarship on digital media, the underrepresentation of women in the IT field (especially as related to entrepreneurship), the history of IT, uses of IT to automate or augment historical and archival practice, and social and economic analysis of the Internet (blogging, social network sites, online dating, political action, strategy and structure of the industry, etc.).

Please see http://gking.harvard.edu

Development of technology to assist practitioners and policy makers in meeting the challenge of eliciting and expressing policies/laws (a form of requirements). These tools help ensure that privacy/security policies and laws are aligned with the software systems that they govern and are designed with an understanding of societal values. Specific domains include HIPPA governed health care IT (electronic health records and personal health records); ecommerce (online behavioral marketing); GLBA governed financial systems; etc.

My interests are broadly in the area of building and operating computing artifacts that are trustworthy in the face of accidents and attempts to misuse them. I am interested in a broad range of issues in security and privacy, with a multidisciplinary focus. Of particular interest to me at the current time is how to build systems with features that make them more trustworthy or easier to use in investigations, but are still usable and maintainable.

The rapid progress in our ability to gather, store, analyze and communicate data has spurred an empirical revolution in fields as diverse and important as medicine, astronomy, biochemistry, economics and ecology. Responding to the challenge of global development must draw upon the same empirical and scientific methods. Existing disparities make it essential for the poorest and most under-developed communities to be able to contribute to, and benefit from, the global pool of knowledge. I seek to design information tools, targeting mobile phones and other low-cost hardware devices, that are accessible to individuals and institutions working in rural areas of the developing world.
Computing applications have already provided many new opportunities to empowered individuals and institutions, both in the developed and in the developing world. However, their diffusion and benefits have been limited to those with access to the necessary infrastructure and capital. The challenges faced by those without such capacity are multiple. First, there are limitations of access to appropriate devices, and supporting infrastructure, including electricity and network connectivity. The rapid proliferation of mobile devices and wireless connectivity is putting relatively low-cost information access in the hands of billions, making significant progress towards addressing this limitation. Within the near future, a majority of the world’s population will have access to a mobile device, either their own, or one they can borrow from a friend, neighbor or relative.
However, access to technology does not solve the information challenges faced by rural individuals, communities and institutions. They still need appropriate content and applications. The institutions that are most active in serving rural communities in the developing world, including community-based organizations (CBOs), non-governmental organizations (NGOs) and local governments, lack the tools needed to aggregate, manage and utilize data, and to provide useful information services to their constituents. Building these tools requires local capacity for software development, installation, training, maintenance and support. In most countries, if there is such an IT services sector, it is focused on outsourcing and building commercial applications serving large companies and governments, primarily targeting urban users. Local institutions, if they can afford software development, must rely on second and third-tier programming talent.
In my research, I take a multi-pronged approach towards addressing this challenge. First, I seek to make the tools of software development and data management more accessible to local institutions, so that minimally trained software developers can build robust and full-featured applications, and so that novice administrators can maintain and support them. I also aim to make applications that are easier to learn and use, reducing the overhead of training and support. My methodology is characterized by establishing sustained design relationships with local partners, conducting field work to understand local needs, preferences and limitations, uncovering technical challenges, conducting experiments with scientific and practical implications, culminating in the deployment of real systems. Rigorous evaluation is also an important part of my work. In collaboration with social scientists and development experts, I seek to assess the efficacy of these interventions using a variety of qualitative and quantitative methods.

Computer forensics, the emerging field of usability and security, personal information management, privacy, information policy and terrorism.

My research interest is in computer and information systems networks. Most of my work is at the boundary of systems and policy research, with a definitive slant toward security aspects. I am a computer scientist by training (my PhD was in data networking), who veered off track, and ended up being equally interested in economics and policy. As such, my work really tries to bridge the two worlds and I am very much looking forward to collaborating with like-minded researchers.

Most of my work is in network security and its economics; in particular applications of game theory and behavioral economics to network security modeling and analysis. In an effort to better inform my research, I also have a strong interest in data collection, both from the business side (e.g., getting investment data through case studies), and from the technical side (e.g., network measurements).

Along these lines, I have recently grown more and more interested in studying online crime, including the cultural factors that can preside to the success of certain criminal activities. I work frequently with collaborators in Japan to study some of the specifics of Japanese and Asian online/digital criminal activities.

I have also been known to dabble in usable security. Most recently I have been looking at ways to design better user authentication primitives that would be resilient to both social engineering and observation attacks.