Provenance for Generalized Map and Reduce Workflows. 3X: A Data Management System for Computational Experiments.

Protein design, protein engineering, structural biology, molecular cell and animal imaging, calcium signaling, various biochemical, biophysical, and spectroscopy methods, cell biology, metal coordination, bioinformatics. 3 tests 25% each and 25% for HW per week. A., and Armstrong D. A. Ruesink, J. L., Hodges K. E., and Krebs C. J. Jenkins, C., Haas M. E., Olson A., and Ruesink J. L. Salomon, A. K., Ruesink J. L., Semmens B. X., and Paine R. T. Driskell, W. B., Ruesink J. L., Lees D. C., Houghton J. P., and Lindstrom S. C. Paine, R. T., Ruesink J. L., Sun A., Soulanille E. L., Wonham M. J., Harley C. D. G., Brumbaugh D. R., and Secord D. L. Ruesink, J. L., Parker I. M., Groom M. J., and Kareiva P. M. Harvell, C. D., Fenical W., Roussis V., Ruesink J. L., Griggs C. C., and Greene C. H. Variability in Carbon Availability and Eelgrass (Zostera marina) Biometrics Along an Estuarine Gradient in Willapa Bay, WA, USA, Influence of substratum on non-native clam recruitment in Willapa Bay, Washington, USA, Spatio-temporal recruitment variability of naturalized Manila clams (Ruditapes philippinarum) in Willapa Bay, Washington, USA, Environmental Correlates of Growth and Stable Isotopes in Intertidal Species Along an Estuarine Fjord, Relative Impacts of Natural Stressors on Life History Traits Underlying Resilience of Intertidal Eelgrass (Zostera marina L.), Commercially-cultured oysters (Crassostrea gigas) exert top-down control on intertidal pelagic resources in Willapa Bay, Washington, USA, Historical ecology with real numbers: past and present extent and biomass of an imperilled estuarine habitat, Seasonal effects of clams (Panopea generosa) on eelgrass (Zostera marina) density but not recovery dynamics at an intertidal site. Abiteboul, S., Quass, D., McHugh, J., Widom, J., Wiener, J., L. The WHIPS prototype for data warehouse creation and maintenance. best professor in msu tbh, easy a, and you will actually learn from her classes. DERIVING PRODUCTION RULES FOR CONSTRAINT MAINTENANCE. 2008 Fulbright Fellow, Namibia

Life history and morphological shifts in an intertidal seagrass following multiple disturbances. lots of opportunities to help your grade out.

EXTREMELY BORING! Offering a Precision-Performance Tradeoff for Aggregation Queries over Replicated Data.

The Starburst active database Rule System, Making views self-maintainable for data warehousing.

The classes are clear and engaging and the tests are easy if you attend all the classes. I have had far too many chem professors at uci say that they just teach on the side and their research is their main focus. Jeffery, S. R., Alonso, G., Franklin, M. J., Hong, W., Widom, J.

Professor Jenny really care for her students. The best chem Professor I have ever met. She is in a learning curve so does mess up a little bit but she tries hard.She is very helpful. Arasu, A., Babcock, B., Babu, S., Cieslewicz, J., Datar, M., Ito, K., Widom, J. edited by Garofalakis, M., Gehrke, J., Rastogi, R. Trio-ER: The Trio System as a Workbench for Entity-Resolution. Ikeda, R., Cho, J., Fang, C., Salihoglu, S., Torikai, S., Widom, J. Deco: A System for Declarative Crowdsourcing.

Her class is easy and interactive, a plus in my books! A location management technique to support lifelong numbering in personal communications services. Jeffery, S., R., Alonso, G., Franklin, M., J., Hong, W., Widom, J.

Attendance is not mandatory but she does make you respond to questions which she uses for attendance occasionally, just find a friend to sign you in on those days. Each meeting includes a lecture and discussion like all her other courses. BA 1989 Ecology and Systematics, Cornell University, 2016 University of Washington Department of Biology / Seattle, Washington /. She will lecture but it's vague sometimes so you need to learn and read on your own. You do a fun project where you interview a company.

Ask questions, go to office hours, talk to your TA, and you will do well.

Discussion isn't mandatory, but go to it.

2012-present Full Professor, biology, University of Washington I would recommend taking her if you had the chance. In this paper, we present our JellyBean suite of algorithms, that combines the best of crowds and computer vision to count objects in images, and uses judicious decomposition of images to greatly improve accuracy at low cost. 1) We develop computational and biochemical approaches to identify Ca2+ binding proteins and visualize calcium signaling pathways, to dissect key determinants for metal affinity, selectivity,& regulation, and to establish molecular basis of metal toxicity (we called calciomics).

MPhil 1990 Botany, Cambridge University Professor is very sweet and loves what she is doing. A Denotational Semantics for the Starburst Production Rule Language. Papakonstantinou, Y., GARCIAMOLINA, H., Widom, J. Lam, D., Jannink, J., Cox, D. C., Widom, J. STATIC ANALYSIS TECHNIQUES FOR PREDICTING THE BEHAVIOR OF ACTIVE DATABASE RULES, OBJECT EXCHANGE ACROSS HETEROGENEOUS INFORMATION SOURCES. She's cute and funny. Amazing lectures and helps with exams and quizzes!

Deriving Production Rules for Incremental View Maintenance. PNAS (2015) PMID: 25971726 From Semistructured Data to XML: Migrating the Lore Data Model and Query Language. The class isn't too hard, even for a non-native speaker, but you definitely still have to put in the effort either way.

Counting objects is a fundamental image processisng primitive, and has many scientific, health, surveillance, security, and military applications. Her lectures go a bit fast, but she will always answer your questions. I took both chem 107 and 127 with Professor Yang and I love her.

Benjelloun, O., Das Sarma, A., Halevy, A., Widom, J. Integrating Dynamically-Fetched External Information into a DBMS for Semistructured Data. It does suck that we dont have an idea of our final grade because the presentation, test and group grade are so many points. If you follow her directions, you will get an A in the class. 1999-2005 Assistant Professor, biology, University of Washington

Jennifer received her Bachelor's degree from the Indiana University Jacobs School of Music in 1982 and her Computer Science Ph.D. from Cornell University in 1987. An Introduction to ULDBs and the Trio System. Trio-One: Layering Uncertainty and Lineage on a Conventional DBMS.

Exams are not too hard, just study the PowerPoint slide that she provided and you'll be fine. Logical Provenance in Data-Oriented Workflows. Set-Oriented Production Rules in Relational Database Systems. Change Management in Heterogeneous Semistructured Databases. Montclair State does not endorse the views or opinions expressed in a faculty member's webpage or website. Active Database Systems: Triggers and Rules for Advanced Database Processing. Chawathe, S., Gossain, V., Liu, X., Widom, J., Abiteboul, S. The STRIP Rule System for Efficiently Maintaining Derived Data. Yang Laoshi is very nice but I found her class to be difficult. Implementing Parameterized Range Types in an Extensible DBMS. I strongly suggest you be there every class. She really cares about her students, and she is very approachable outside of class. Local Verification of Global Integrity Constraints in Distributed Databases. Aggarwal, G., Bawa, M., Ganesan, P., Garcia-Molina, H., Kenthapadi, K., Mishra, N. Adaptive Ordering of Pipelined Stream Filters.

Current areas of research include controls of life history and morphological traits in eelgrass, community structure in oyster and eelgrass habitats, restoration strategies for native oysters, environmental impacts of shellfish aquaculture, and recruitment variability and phenology under climate warming.

Prof was nice and engaging during the lectures, she also seems to know her stuff and find ways to get students involved in discussion. Dr Yang is very helpful and clear in her lecture notes.

Surpassing Humans and Computers with JellyBean: Crowd-Vision-Hybrid Counting Algorithms. Zhuge, Y., Garcia-Molina, H., Hammer, J., Widom, J. From a developmental perspective, I study how various spatial abilities develop in early and middle childhood and in people with intellectual and developmental disabilities.

Integrating Heterogeneous Databases: Lazy or Eager?. Yang is an awesome prof.

Consistent with the principles of academic freedom, the content provided is that of the author and does not express the opinions or views of Montclair State University. Provenance-Based Refresh in Data-Oriented Workflows. Our algorithms conceptually consider all mappings from tasks to true answers (typically a very large number), leveraging two key ideas to reduce, by several orders of magnitude, the number of mappings under consideration, while preserving optimality. We study crowdsourcing quality management, that is, given worker responses to a set of tasks, our goal is to jointly estimate the true answers for the tasks, as well as the quality of the workers. NO final though! Performance Issues in Incremental Warehouse Maintenance. Agrawal, P., Sarma, A., Das, Ullman, J., D., Widom, J. Generalized Uncertain Databases: First Steps. Parameswaran, A., Boyd, S., Garcia-Molina, H., Gupta, A., Polyzotis, N., Widom, J. CrowdFill: Collecting Structured Data from the Crowd. 1992-1993 Research Fellow, Syntex Discovery Research Online course with well lined out objectives.

A Data Stream Management System for Network Traffic Management. StreaMon: An Adaptive Engine for Stream Query Processing. Petit Science Center 792 (404-413-5641)

Resource Sharing in Continuous Sliding-Window Aggregates. Modeling location management in personal communications services. A., and Ruesink J. L. Wisehart, L. M., Dumbauld B. R., Ruesink J. L., and Hacker S. D. Salomon, A. K., Ruesink J. L., and DeWreede R. E. Hosack, G. R., Dumbauld B. R., Ruesink J. L., and Armstrong D. A. Ruesink, J. L., Feist B. E., Harvey C. J., Hong J. S., Trimble A. C., and Wisehart L. M. Buhle, E. R., Margolis M., and Ruesink J. L. Raffaelli, D., Cardinale B. J., Downing A. L., Engelhardt K. A. M., Ruesink J. L., Solan M., and Srivastava D. S. Ruesink, J. L., Lenihan H. S., Trimble A. C., Heiman K. W., Micheli F., Byers J. E., and Kay M. C. Solan, M., Cardinale B. J., Downing A. L., Engelhardt K. A. M., Ruesink J. L., and Srivastava D. S. Moore, J. W., Ruesink J. L., and McDonald K. A. Holsman, K. K., Armstrong D. A., Beauchamp D. A., and Ruesink J. L. Ruesink, J. L., Roegner G. C., Dumbauld B. R., Newton J.

Sarma, A., Das, Agrawal, P., Nabar, S., Widom, J. Jain, N., Mishra, S., Srinivasan, A., Gehrke, J., Widom, J., Balakrishnan, H. Garcia-Molina, H., Ullman, J., D., Widom, J. Optimization of Continuous Queries with Shared Expensive Filters.

Towards Globally Optimal Crowdsourcing Quality Management: The Uniform Worker Setting.

View details for DOI 10.1145/2882903.2882953, View details for PubMedCentralID PMC5278759. 2005-2012 Associate Professor, biology, University of Washington Pu,F., Qiao,J., Xue,S.,Yang,H., Patel,A., Wei,L., Heckmataryar,K., Grossniklaus,HE., Liu,ZR., and Yang, JJ. STREAM: The Stanford Data Stream Management System. It is a hard class to get an A but if you do all the practice problems and review lectures, you will do fine. Best-Effort Cache Synchronization with Source Cooperation. Weekly quizzes, no hw or clicker. Generic Entity Resolution in the SERF Project. She is very busy. Parameswaran, A., Park, H., Garcia-Molina, H., Polyzotis, N., Widom, J. CrowdScreen: Algorithms for Filtering Data with Humans. She's very nice and really wants us to succeed. Role of Ca2+ and LPhe in Regulating Functional Cooperativity of Disease-Associated Toggle Calcium-Sensing Receptor Mutations.

Bizarro, P., Babu, S., DeWitt, D., Widom, J. The exams were not bad.

1996-1999 Post-doctoral fellow, University of British Columbia Her tests were pretty fair if you knew the material, grades very leniently Homework would have the hardest possible problems, but she only taught basic examples. The Lowell database - Research self assessment. Chawathe, S., Garcia-Molina, H., Hammer, J., Ireland, K., Papakonstantinou, Y., Ullman, J., D., Widom, J. Deriving Incremental Production Rules for Deductive Data. Arasu, A., Babcock, B., Babu, S., Datar, M., Ito, K., Nishizawa, I., Widom, J. Query Processing, Resource Management, and Approximation in a Data Stream Management System. An Overview of Production Rules in Database Systems. Quass, D., Widom, J., Goldman, R., Haas, K., Luo, Q., McHugh, J. Tests usually have about 4 essay questions and 15 mult choice.

Feder, T., Motwani, R., Panigrahy, R., Olston, C., Widom, J. Parameswaran, A., Teh, M., H., Garcia-Molina, H., Widom, J. Optimal Crowd-Powered Rating and Filtering Algorithms. The Lorel Query Language for Semistructured Data.

I would recommend her.

As well as a quiz at the end of the meeting. View Maintenance in a Warehousing Environment. The CQL continuous query language: semantic foundations and query execution, Declarative support for sensor data cleaning. !.

Practical Lineage Tracing in Data Warehouses. STREAM: The Stanford Stream Data Manager. Lore: A Database Management System for Semistructured Data.

Not a fun or interesting class at all. Go to class or fail!! Trace-Based Network Proof Systems: Expressiveness and Completeness. Parameswaran, A., Garcia-Molina, H., Park, H., Polyzotis, N., Ramesh, A., Widom, J. Prof. Yang is very helpful. 1992, Ph.D., Florida State University 5) We design protein drugs with improved therapeutic effects to against cancer, diabetes and virus infection.

DERIVING PRODUCTION RULES FOR INCREMENTAL VIEW MAINTENANCE. View details for Web of Science ID 000344417300007, View details for Web of Science ID 000326733500076, View details for Web of Science ID 000313910900003, View details for DOI 10.1109/ICDE.2012.118, View details for Web of Science ID 000309122100117, View details for DOI 10.1109/TKDE.2010.166, View details for Web of Science ID 000291806000011, View details for Web of Science ID 000286148800029, View details for DOI 10.1007/s00778-009-0147-0, View details for Web of Science ID 000270651600002, View details for DOI 10.1007/s00778-008-0098-x, View details for Web of Science ID 000262317000011, View details for Web of Science ID 000269126700057, View details for DOI 10.1007/s00778-007-0080-z, View details for Web of Science ID 000253630600006, View details for Web of Science ID 000257282600109, View details for DOI 10.1007/s00778-004-0147-z, View details for Web of Science ID 000236736000002, View details for Web of Science ID 000237503800006, View details for Web of Science ID 000229359800026, View details for Web of Science ID 000229594000012, View details for Web of Science ID 000231656600031, View details for Web of Science ID 000227472000006, View details for Web of Science ID 000223536500004, View details for Web of Science ID 000224139700001, View details for Web of Science ID 000220300100006, View details for Web of Science ID 000189417500001, View details for DOI 10.1007/s00778-003-0107-z, View details for Web of Science ID 000186462000005, View details for DOI 10.1007/s00778-002-0083-8, View details for Web of Science ID 000183862800003, View details for Web of Science ID 000181146300003, View details for Web of Science ID 000181452400013, View details for Web of Science ID 000170776400015, View details for Web of Science ID 000168887300032, View details for Web of Science ID 000168248100006, View details for Web of Science ID 000167433800001, View details for Web of Science ID 000087867500026, View details for Web of Science ID 000087867500077, View details for Web of Science ID 000166261700002, View details for Web of Science ID 000085729800028, View details for Web of Science ID 000170923700028, View details for Web of Science ID 000082324900003, View details for Web of Science ID 000089669900032, View details for Web of Science ID 000082777200004, View details for Web of Science ID 000072696100001, View details for Web of Science ID 000073211700086, View details for Web of Science ID 000078840500026, View details for Web of Science ID A1997XW64900001, View details for Web of Science ID 000208155900006, View details for Web of Science ID A1997WF97600008, View details for Web of Science ID 000072616400045, View details for Web of Science ID A1997BH55Z00074, View details for Web of Science ID A1997BJ90L00135, View details for Web of Science ID A1997BH55Z00024, View details for Web of Science ID A1996VG33900009, View details for Web of Science ID A1996BH04A00013, View details for Web of Science ID A1996BF21F00007, View details for Web of Science ID A1996BG45X00120, View details for Web of Science ID A1995RJ62400002, View details for Web of Science ID A1995BC60N00030, View details for Web of Science ID A1994PJ34700002, View details for Web of Science ID A1992BY11K00027, View details for Web of Science ID A1991BA75N00050, View details for Web of Science ID A1990BA75M00047, Dean, School of Engineering (2017 - Present), Senior Associate Dean for Faculty and Academic Affairs, School of Engineering (2014 - 2016), Department Chair, Computer Science (2009 - 2014), Member, National Academy of Engineering (2005 - present), Member, American Academy of Arts & Sciences (2009 - present), Edgar F. Codd Innovations Award, ACM SIGMOD (2007), Erna Hamburger Prize, EPFL-WISH Foundation (2018), Career Achievement Award, Indiana University School of Informatics and Computing (2015), Education Award, IEEE Technical Committee of Data Engineering (2018), PhD, Cornell University, Computer Science (1987), MS, Cornell University, Computer Science (1985), MS, Indiana University, Computer Science (1983), BS, Indiana University Jacobs School of Music, Music (1982). Storing Auxiliary Data for Efficient Maintenance and Lineage Tracing of Complex Views.

Aiken, A., Widom, J., Hellerstein, J., M. The Starburst Rule System: Language Design, Implementation, and Applications.

Towards Special-Purpose Indexes and Statistics for Uncertain Data. Proc Natl Acad Sci U S A (2011).108(39):16265-70.

Mutsuzaki, M., Theobald, M., de Keijzer, A., Widom, J., Agrawal, P., Benjelloun, O.

A Protein MRI contrast agent with unprecedented metal selectivity and sensitivity for liver cancer imaging. Address: 1 Normal Avenue, Montclair, New Jersey 0 7 0 4 3. I wrote my two and half page paper in like 4 hours.

Jeffery, S., Alonso, G., Franklin, M., J., Hong, W., Widom., J. Agrawal, P., Benjelloun, O., Sarma, A., Das, Hayworth, C., Nabar, S., Sugihara, T., Widom, J. Srivastava, U., Widom, J., Munagala, K., Motwani, R. Estimating Data Stream Quality for Object-Detection Applications. Garcia-Molina, H., Papakonstantinou, Y., Quass, D., Rajaraman, A., Sagiv, Y., Ullman, J., D., Widom, J. Practical Applications of Triggers and Constraints: Successes and Lingering Issues. Xue,S., Yang,H., Qiao,J., Pu,F., Jiang,J., Harburd,K., Hekmatarya,K., Langley,J.,Salarian,M., Long,R., Bryant,RR., Hu,XP., Grossniklaus,HE., Liu,ZR., and Yang, JJ.

Her tests are not hard, but one must review the notes more than other subjects.

She's really nice and cares for the students.

Professor Yang is really good at teaching but she talks very fast because there was a lot of stuff covered.

Individual difference (e.g, gender, age, ability) in spatial cognition and visual search. Three on-ground lectures with quizzes that weren't hard. Scientific Reports, Nature (2015), 2015 PMID:26577829

There is a two page paper on a book, then a total of 6 4 exams, and a quiz about once a week, not to bad. Ruesink, J. L., Fitzpatrick JP, Dumbauld B. R., Hacker S. D., Trimble A. C., Wagner EL, and Wisehart L. M. Ruesink, J. L., Hong J. S., Wisehart L., Hacker S. D., Dumbauld B. R., Hessing-Lewis M., and Trimble A. C. Tsai, C. C., Yang S., Trimble A. C., and Ruesink J. L. Dethier, M. N., Ruesink J., Berry H., Sprenger A. G., and Reeves B. Tallis, H. M., Ruesink J. L., Dumbauld B., Hacker S., and Wisehart L. M. Dumbauld, B. R., Ruesink J. L., and Rumrill S. S. Trimble, A. C., Ruesink J. L., and Dumbauld B. R. White, J., Ruesink J. L., and Trimble A. C. White, J. M., Buhle E. R., Ruesink J. L., and Trimble A. C. Richardson, N. F., Ruesink J. L., Naeem S., Hacker S. D., Tallis H. M., Dumbauld B. R., and Wisehart L. M. Banas, N. S., Hickey B. M., Newton J. This paper makes an important contribution towards understanding the inherent complexity of globally optimal crowdsourcing quality management. Would highly recommend.

She is new but very helpful. Gupta, A., Sagiv, Y., Ullman, J., D., Widom, J. Start homework early, it takes some time. Content-Based Routing: Different Plans for Different Data. She is one of the few chemistry professors at uci who I think cares more about her students than her research. Prof. Yang is fair and straight to the point if you show her you are honestly trying she will go over and beyond.

Professor Yang is probably the best Mandarin teacher I had so far. No easy A.

Behavior of Database Production Rules: Termination, Confluence, and Observable Determinism. 2004-2005 Medical Research Award from NIH, Southeast Research Center for Emerging Diseases and Biodefense (SERCEB), 2003 Outstanding Faculty Achievement Award, Georgia State University, 2003 Featuring Recognition for Outstanding Contribution to McNair Minority Undergraduate Research Program, 2001 Outstanding Junior Faculty Award, Georgia State University, Arts & Sciences, 1993 1995 Oxford Center for Molecular Sciences Fellowship, Gap junctions and ionic currents in developing heart, Structural biology of receptor-mediated extracellular calcium signaling, Designing magnetic resonance protein-based contrast agents with high relaxivity, Recent publications: Had to have multiple meetings with my group which took up too much time in my opinion. Interactive query and search in semistructured databases, Representing and querying changes in semistructured data. The last 5 or 6 weeks of the term have a paper due, but theyre not hard. Logical Provenance in Data-Oriented Workflows. I agree, the group project took so much time and energy, but thats what the class is about. I do not recommend taking any of her classes. The class is well organized and the tests are very clear and fair.

A Location Management Technique to Support Lifelong Numbering in Personal Communications Services. Deductive and Active Databases: Two Paradigms or Ends of a Spectrum? The lab emphasizes field experimental approaches to test responses and feedbacks between organisms and their environment, primarily in estuarine soft sediment systems. China

Lineage Tracing for General Data Warehouse Transformations. It also has implications for developing training programs to improve people's spatial abilities.

Indexing relational database content offline for efficient keyword-based search. Again, final might be little tough.No curves but you will pass with not much effort. We also demonstrate that these algorithms often find more accurate estimates than EM-based algorithms. A toolkit for constraint management in heterogeneous information systems. Chawathe, S. S., Abiteboul, S., Widom, J. Ozone: Integrating Structured and Semistructured Data. Representing uncertain data: models, properties, and algorithms. McHugh, J., Abiteboul, S., Goldman, R., Quass, D., Widom, J. The Tsimmis Project: Integration of Heterogeneous Information Sources.

A Pipelined Framework for Online Cleaning of Sensor Data Streams. PhD 1996 Zoology, University of Washington Completeness and Incompleteness of Trace-Based Network Proof Systems.

3) We develop biosensors such as Ca2+ and protease sensors to monitor rapid subcellular events with preclinical applications. Adelberg, B., Garcia-Molina, H., Widom, J. Querying Semistructured Heterogeneous Information. Class is fairly easy, but the material is so boring that you won't even want to do it. Dr. Yang's course is highly structured and organized with detailed PowerPoint slides.

Tang,S., Wong,HC., Wang,ZM., Huang,Y., Zou,J., Pennati,A., Gadda,G., Delbono,O.,Yang,JJ., Design and Application of a Class of Sensors to Monitor Ca2+ dynamics in high Ca2+ concentration Cellular Compartments.

Das Sarma, A., Benjelloun, O., Halevy, A., Nabar, S., Widom, J. Swoosh: a generic approach to entity resolution. Just constantly review vocab and grammar outside of class and you should be fine. She is a nice professor. Query Optimization over Crowdsourced Data.

Class is kind of boring. Babcock, B., Babu, S., Datar, M., Motwani, R., Widom, J. Characterizing Memory Requirements for Queries over Continuous Data Streams, Adaptive precision setting for cached approximate values. Flexible Time Management in Data Stream Systems. Benjelloun, O., Garcia-Molina, H., Menestrina, D., Su, Q., Whang, S. E., Widom, J. Trio: A System for Data, Uncertainty, and Lineage. 2013 Distinguished University Professors, Georgia State University.

Abiteboul, S., Agrawal, R., Bernstein, P., Carey, M., Ceri, S., Croft, B., DeWitt, D., Franklin, M., Molina, H. G., Gawlick, D., Gray, J., Haas, L., Halevy, A., Hellerstein, J., Ioannidis, Y., Kersten, M., Pazzani, M., Lesk, M., Maier, D., Naughton, J., Schek, H., Sellis, T., Silberschatz, A., Snodgrass, R., Ullman, J., Weikum, G., Widom, J., Zdonik, S. Babu, S., Munagala, K., Widom, J., Motwani, R. Trio: A System for Integrated Management of Data, Accuracy, and Lineage. She served as Computer Science Department Chair from 2009-2014 and School of Engineering Senior Associate Dean from 2014-2016. Constraint Checking with Partial Information. Zhang,C., Mulpuri,N., Hannan,FN, Nesbit,MA., Thakker,RV., Hamelberg,D., Brown,EM., and Yang, JJ. Deriving Production Rules for Constraint Maintenance. Expressiveness Bounds for Completeness in Trace-Based Network Proof Systems. She will help if you ask.

Widom, J., Gupta, A., Sagiv, Y., Ullman, J., D. An Algebraic Approach to Rule Analysis in Expert Database Systems. Final was little hard compare to the first two tests. Quass, D., Gupta, A., Mumick, I. S., Widom, J. LORE: A Lightweight Object REpository for Semistructured Data. Jannink, J., Lam, D., Shivakumar, N., Widom, J., Cox, D., C. Change Detection in Hierarchically Structured Information . Cui, Y. W., Lam, D., Widom, J., Cox, D. C. Maintaining temporal views over non-temporal information sources for data warehousing, Protocols for integrity constraint checking in federated databases, Efficient and flexible location management techniques for wireless communication systems. Every time I crossed a street to get to her class, I would not look both ways hoping that I would get hit by a car or a bus from how bad this class was. Park, H., Pang, R., Parameswaran, A., Garcia-Molina, H., Polyzotis, N., Widom, J. Provenance-Based Debugging and Drill-Down in Data-Oriented Workflows.

1995-1996 Harford Research Fellow of MB&B, Yale University. PMID: 21914846, Natural Science Center 552 (404-413-5520) GRPR-targeted Protein Contrast Agents for Molecular Imaging of Receptor Expression in Cancers by MRI.

Making Aggregation Work in Uncertain and Probabilistic Databases, RAMP: A System for Capturing and Tracing Provenance in MapReduce Workflows.

Benjelloun, O., Sarma, A., Das, Hayworth, C., Widom, J. Sarma, A., Das, Benjelloun, O., Halevy, A., Widom, J. ULDBs: Databases with Uncertainty and Lineage. Sarma, A. D., Jain, A., Nandi, A., Parameswaran, A., Widom, J. Abadi, D., Agrawal, R., Ailamaki, A., Balazinska, M., Bernstein, P. A., Carey, M. J., Chaudhuri, S., Dean, J., Doan, A., Franklin, M. J., Gehrke, J., Haas, L. M., Halevy, A. Y., Hellerstein, J. M., Ioannidis, Y. E., Jagadish, H. V., Kossmann, D., Madden, S., Mehrotra, S., Milo, T., Naughton, J. F., Ramakrishnan, R., Markl, V., Olston, C., Ooi, B. C., Re, C., Suciu, D., Stonebraker, M., Walter, T., Widom, J. Optimizing Graph Algorithms on Pregel-like Systems.

Jannink, J., Lam, D., Shivakumar, N., Widom, J., Cox, D. C. Teletraffic modeling for personal communications services, DataGuides: Enabling query formulation and optimization in semistructured databases. Chawathe, S. S., GARCIAMOLINA, H., Widom, J. I am interested in how people interact with the spatial environment from cognitive and developmental perspectives.

Arasu, A., Babcock, B., Babu, S., McAlister, J., Widom, J. CQL: A language for continuous queries over streams and relations.

Using vanilla crowd-sourcing, on the other hand, can lead to significant errors, especially on images with many objects. 1993-1995 OCMS Research Fellow, University of Oxford, UK

CrowdFill: A System for Collecting Structured Data from the Crowd.

She is very understanding and will work with you if problems arise.