Tianshu began the program in Fall 2011. His research interests include information sharing, WOM, crowdsourcing, and market design in healthcare (specifically blood, organ and internet markets).
Decision, Operations & Information Technologies
Rules against seller retaliation for negative reviews improves service but shifts balance of power to buyers
During the second half of the spring 2014 semester, graduate students in the University of Maryland’s Robert H. Smith School of Business developed mobile health applications. Their mission targeted challenges to patient-consumers posed by diabetes, elder care, urgent-care logistics, obesity and treatment selection. [VIDEO]
This spring, Smith undergraduates teamed up with UMD engineering and computer science peers to answer a challenge from IBM to develop ideas for implementing its recent customer service innovation, the Watson Engagement Advisor.
Supply chain analytics was the theme of the Fourth Annual Business Analytics Workshop, held in College Park, Md., on Friday, May 2, 2014. Co-sponsored by the University of Maryland’s Robert H. Smith School of Business and IBM, the day-long workshop consisted of topics ranging from cyber supply chain risk management to disaster response planning and logistics.
Henry Lucas talks about disruptive technologies and his recent experiences teaching Massive Online Open Courses – free online courses that often have more than 10,000 students participating. [VIDEO]
Symptoms resulting from a bioterrorism attack could be alarmingly similar to those of the flu. A computer model developed by Sean Barnes, assistant professor of operations management, aims to identify one from the other by their very different transmission dynamics.
Barnes built his original simulation model for his dissertation as a mathematics PhD student at the University of Maryland (2012) to help public health officials seeing the two scenarios play out and determine which they are dealing with.
The Robert H. Smith School of Business has expanded its reputation as a research and knowledge hub with top-25 showings in three recent worldwide rankings.
Brian Barrios is the portfolio director for National Cybersecurity Federally Funded Research and Development Center (FFRDC). The National Cybersecurity FFRDC is operated by MITRE in support of the National Cybersecurity Center of Excellence (NCCoE), within the National Institute of Standards and Technology (NIST). As part of NIST, an agency within the Department of Commerce, the center is dedicated to increasing the rate of adoption of practical cybersecurity solutions. In his role as director, Barrios is responsible for building and leading multi-disciplinary teams that tackle some of our nation’s most pressing cybersecurity challenges. Prior to the NCCoE, Barrios was the cyber chief engineer and cyber portfolio manager within MITRE’s Center for National Security, leading an organization focused on applying a range of cyber technologies to domestic cybersecurity issues. In addition, he was responsible for the cyber strategic vision for the Law Enforcement and Domestic Security Division. Prior to 2005, he worked at AOL as postmaster within AOL’s Mail Operations, specifically focused on anti-spamming efforts. He has a bachelor's degree in computer information systems from Clemson University.
Dr. Joseph Kielman is a science advisor in the Science and Technology Directorate (S&T) at the Department of Homeland Security (DHS). Kielman is assigned to the Homeland Security Advanced Research Projects Agency, where he now manages research programs in cybersecurity as well as visualization and data analytics. His efforts in the latter area began in 2004, when he established the National Visualization and Analytics Center program, housed at the Department of Energy’s Pacific Northwest National Laboratory. In 2006 and again in 2009, these programs were expanded to include university-based research centers in visualization and analytics and discrete sciences. Kielman created and still manages the Center of Excellence for Visualization and Data Analytics, comprising 35 university and industry partners, for S&T’s Office of University Programs. His cybersecurity work involves socio-behavioral and economic incentives, bio-inspired cyber health, and data provenance programs. Over the past five years he also developed and oversaw joint research programs on the foundations of visual and data analytics, anomaly detection, and critical infrastructure protection with the U.S. National Science Foundation, the United Kingdom Home Office, and the German BMBF. Prior to joining DHS in 2003, Kielman worked for 20 years at the Federal Bureau of Investigation (FBI), where he served successively as chief of the Advanced Technology Group in the Engineering Section, chief of research and development for the Technical Services Division, and chief scientist and also chief architect at the Information Resources Division. His work at the FBI included development of covert collection and surveillance systems, specialized microelectronic and micromechanical design capabilities, advanced computer architectures, and information processing, intelligence analysis, and data analytics technologies. Kielman has an undergraduate degree in physics and graduate degrees in biophysics and did postdoctoral work in genetics. In 2006 he was awarded the Presidential Rank of Meritorious Senior Professional.
Dr. Michel Cukier is the director for Advanced Cybersecurity Experience for Students (ACES) and the associate director for education for the Maryland Cybersecurity Center (MC2). Cukier is an associate professor of reliability engineering with a joint appointment in the department of mechanical engineering at the University of Maryland, College Park. He received a degree in physics engineering from the Free University of Brussels, Belgium, in 1991, and a doctorate in computer science from the National Polytechnic Institute of Toulouse, France, in 1996. From 1996 to 2001, he was a researcher in the Perform research group in the Coordinated Science Laboratory at the University of Illinois, Urbana-Champaign. He joined the University of Maryland in 2001 as assistant professor. His research covers dependability and security issues. His latest research focuses on the empirical quantification of cybersecurity. He has published over 70 papers in journals and refereed conference proceedings in those areas.
Lawrence A. Gordon
Dr. Lawrence A. Gordon is the EY Alumni Professor of Managerial Accounting and Information Assurance at the University of Maryland’s Robert H. Smith School of Business. He is also an affiliate professor in the University of Maryland Institute for Advanced Computer Studies. Gordon earned his PhD in Managerial Economics from Rensselaer Polytechnic Institute. His research focuses on economic aspects of cybersecurity, corporate performance measures, cost management systems, and capital investments. He is the author of roughly 100 articles that have been published in the accounting, finance and information/computer security journals. Gordon is considered to be one of the pioneers in the field of cybersecurity economics. In addition to the Smith School of Business, Gordon’s research on cybersecurity has been supported by the U.S. National Security Agency and is currently being supported by the U.S. Department of Homeland Security. He is also the author or co-author of several books, including MANAGING CYBERSECURITY RESOURCES: A Cost-Benefit Analysis. He is also the editor-in-chief of the Journal of Accounting and Public Policy and serves on the editorial boards of several other academic journals. An award-winning teacher, he has been an invited speaker at numerous universities and professional conferences throughout the world. In October 2007, he was invited to provide Congressional Testimony concerning his research on cybersecurity economics before the Subcommittee of the U.S. House Committee on Homeland Security. He has also been a frequent contributor to the popular press (e.g., The Wall Street Journal, Washington Post, Business Week, Baltimore Sun, Financial Times, and the Washington Business Journal). For more information, go to his university website.
Gregory A. Porpora
Greg Porpora is the IBM Federal Big Data and Analytics Chief Engineer across IBM Federal (DoD, Intel, Civilian) with experience in Cloud design, Hadoop, Real Time streaming frameworks, Entity resolution and Natural Language Processing. He is actively engaged in the development and employment of Machine Learning techniques to cyber security defense in depth to provide a dynamic and agile response to Advanced Persistent Threats (APT). He was the Chief Scientist for Activity Based Analytics (ABA) and Human Domain Awareness Solutions and was recently awarded a patent filing called Activity based Analytics (ABA) which examines social media, real-time streaming structured and unstructured data, video-imagery, cybersecurity, intelligence, and other observation space data sources. He joined IBM in December 1989 as a member of the worldwide RS6000 marketing team and then moved onto IBM Global Services (IGS). As an Associate Partner in IGS he was responsible for all consulting and integration services in IBM Mexico as well as supporting all other countries in Latin America. He was appointed to his current position with IBM Federal March 2012. Prior to IBM, he was at United Technologies Corporation (UTC) for over 11 years. While at UTC he was product line manager for ASW trainers and systems for the U.S. Navy. He was also a senior design engineer of advanced Sonar and Radar signal processing systems and algorithms. While on active duty, Porpora was assigned to SUPSHIP Bath and conducted numerous AEGIS Light Off tests of both AEGIS Cruisers and Destroyers. These include the USS Arliegh Burke DDG-51, USS Philippine Sea CG-60, USS Normandy CG -58 and USS Gettysburg CG-64. He is a recognized Surface Ship Combat Systems Subject Mater Expert (SME) with specific expertise in Sonar and acoustics. In May 1986 he deployed on the USS Hewitt DD 966 as the acoustic/ASW SME in the Northern Pacific. He has recently retired from the U.S. Navy at the rank of Captain. He holds active membership in numerous industry and military professional organizations, including the IEEE, Naval Reserve Officers Association (NRA) and Association of Naval Engineers (ASNE).
Anand Ranganathan is a global technical ambassador for big data in IBM's Software Group. He specializes in IBM's big data products and services with a focus on stream computing, and works with customers around the world to design, implement and deploy big data solutions. He focuses on solutions involving different kinds of analytics, such as geospatial, text, predictive and anomaly detection analytics. He works with customers worldwide in different domains and industries, such as: cybersecurity, telecommunications, manufacturing, law enforcement, government, transportation, and banking. He was a research staff member at the IBM TJ Watson Research Labs for nine years. During this time, his work spanned the range from pure research to product development to customer deployments. A key theme of his research was to make large-scale complex systems more flexible and adaptive, as well as easier to manage and configure. He did research in various topics including data stream processing, software engineering, AI, data mining, and middleware. He finished his PhD at the Department of Computer Science in the University of Illinois at Urbana-Champaign in 2005, and received his BTech in computer science and engineering from the Indian Institute of Technology in Chennai in 2000.