H V Jagadish
`
`Bernard A Galler Collegiate Professor
`Computer Science and Engineering
`University of Michigan
`2260 Hayward St., Ann Arbor, MI 48109-2121, USA
`+1 734-763-4079
`jag@umich.edu
`
`Ph.D. (Electrical Engineering) – Stanford University.
`
`Experience
`
`Bernard A Galler Collegiate Professor of Electrical Engineering and Computer Science, University of
`Michigan, Ann Arbor, Jan. 2009 to now.
`
`Distinguished Scientist, Michigan Institute for Data Science, University of Michigan, Ann Arbor, Mar.
`2015 to now.
`
`Affiliate Professor, and Member of Executive Committee, Center for Computational Medicine and
`Bioinformatics, University of Michigan, Ann Arbor, since founding in Sep. 2003 to now.
`
`Director, Software Systems Research Laboratory, University of Michigan, Ann Arbor, Sep. 2007 - Aug.
`2014.
`
`Senior Scientific Director, National Center for Integrative Biomedical Informatics, Aug. 2005 - Jul.
`2012.
`
`Professor of Computer Science and Engineering, University of Michigan, Ann Arbor, Sep. 1999 to now.
`
`KITHCT (Jan. - Aug. 2013) and Shaw (Jul. 2004 - Jul. 2005) Distinguished Visiting Professor of
`Computer Science, National University of Singapore.
`
`Professor of Computer Science, University of Illinois, Urbana-Champaign, Jan. 1999 - Aug. 1999.
`
`Division Manager, Database Research, AT&T Labs, Shannon Research Center, Florham Park, NJ,
`Feb. 1996 - Jan. 1999.
`
`Member of Technical Staff at AT&T Bell Labs, Murray Hill, NJ, Dec. 1985 - Feb. 1996.
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`Honors
`
`Awards and Appointments
`
`Fellow, AAAS. Elected 2018.
`
`Member, National Academies Panel on Improving Federal Statistics for Policy and Social Science
`Research Using Multiple Data Sources and State-of-the-Art Estimation Methods, 2015 to now.
`
`Member, Research Grants Council Engineering Panel, Hong Kong, 2011 to now.
`
`Member, Board of Directors, Computing Research Association, 2009 to now.
`
`Fellow, ACM. Elected in 2003.
`
`ACM SIGMOD Contributions Award, 2013.
`
`University of Michigan, Herbert Kopf Award for Service Excellence, 2011.
`
`Trustee, VLDB Foundation, 2004-2009.
`
`University of Michigan, David E. Liddle Award for Research Excellence, 2008.
`
`Eminent Engineer, recognition by Tau Beta Pi, the undergraduate engineering honors society, 2015.
`
`Dean’s award for excellence in undergraduate student advising, University of Illinois, 1999.
`
`Presentations
`
`Invited Presenter on “Ethics of Big Data,” US National Academies Committee on Science, Technology
`and the Law, Irvine, CA, Mar. 2015.
`
`Invited Speaker, US National Academies Government-University-Industry Roundtable (GUIRR) on
`Big Data, Washington DC, Oct. 2014.
`
`Plenary Speaker, Symposium to launch the US National Office of Financial Research, Washington DC,
`Dec. 2011. (Only Computer Scientist invited to speak at this event devoted to managing systemic risk
`to the financial system).
`
`Keynote Speaker, ACM SIGMOD Conference on Management of Data (SIGMOD), Beijing, China,
`Jun. 2007.
`
`Keynote Speaker, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Hong
`Kong, China SAR, Apr. 2001.
`
`Keynote Speaker at several other conferences and workshops, including International Workshop on Web
`and Databases (WebDB) 2014, Workshop on Big Data for Users (Data4U) 2014, Asia-Pacific Web Con-
`ference (APWeb) 2013, Brazilian Database Symposium (SBBD) 2013, Northeast Database Workshop
`2008, International Conference on Scientific and Statistical Database Management (SSDBM) 2007,
`Data Mining in Biology (DMB) 2007, XML Symposium (XSYM) 2006, International Conference on
`Management of Data (COMAD) 2005, ICDE Bioinformatics Workshop 2003, and IEEE International
`Workshop on Multimedia Information Systems 2000.
`
`Invited talks at many leading institutions, including UC Berkeley, CMU, Stanford, Harvard, UT Austin,
`U. Toronto, UCSD, NASA, Google, and IBM.
`
`Expert panelist at several conferences and workshops, including SIGMOD, VLDB, and ICDE.
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`Journals
`
`Editor of the Synthesis Lecture Series on Data Management, Morgan and Claypool, 2016 - now.
`
`Assoc. Editor, Distributed and Parallel Database Systems (DPDS), 1999 to now.
`
`Founding Editor-in-Chief, Proceedings of the Very Large Database Endowment (PVLDB), 2008-2014.
`[This is a novel conference-journal hybrid that has had a significant impact on research dissemination
`models in many areas of Computer Science.]
`
`Editor-in-Chief, ACM SIGMOD Digital Review, 1999-2009.
`
`Assoc. Editor, IEEE Transactions on Data and Knowledge Engineering (TKDE), 2002-2006.
`
`Assoc. Editor, Theory and Practice of Object Systems (TAPOS), 1994-1999.
`
`Assoc. Editor, ACM Transactions on Database Systems (TODS), 1992-1995.
`
`Conferences
`
`Program Chair, Very Large Database Conference (VLDB), 2014.
`
`Program Chair, International Conference on Intelligent Systems for Molecular Biology (ISMB), 2005.
`
`Program Chair, ACM SIGMOD International Conference on Management of Data (SIGMOD), 1996.
`
`Program Vice Chair, IEEE International Conference Data Engineering (ICDE), 1995, 2000, 2018.
`
`Program Chair, International Conference on Parallel and Distributed Information Systems (PDIS),
`1991.
`
`Member of Program Committee for many conferences, including
`SIGMOD(1990, 94, 95, 96, 97, 2001, 04, 06, 07, 08, 09, 12, 17, 18, 19), VLDB(1991, 92, 96, 2000,
`03, 04, 06, 08, 18), EDBT(1994, 98, 2008, 09, 11), KDD(1998, 99, 2003), ICDE (1994, 95, 98, 99,
`2002, 03, 04, 09, 10), PDIS(1990, 96), CIDR(2011, 13), ICDM(2002, 04), ICDCS(2006), GIS(1994, 96),
`CIKM(2002, 07), WebDB(2005, 06), DILS(2006), and Adv. Digital Libraries(1996).
`
`Member of Organizing Committee, CRA Conference at Snowbird, 2010, 14, 16.
`
`University Committees
`
`Member, Provost’s Task Force on learning analytics, 2012-2015.
`
`Chair, Blue Ribbon Panel on research data strategy, 2010-2011.
`
`Member, Departmental Executive Committee, almost continuously since 2002.
`
`Chair, EECS Department Reorganization Committee, 2000-2001.
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`Synopsis of Technical Activities
`• Co-authored 244 refereed papers in journals and major conferences. List of recent publications attached.
`H-index of 88.
`• Co-invented 37 United States patents. List attached. Many of these inventions were also recognized in
`Europe and other jurisdictions.
`• Co-initiated several interdisciplinary educational programs at the University of Michigan:
`
`– Masters degree in Information Technology Management (2016-now)
`
`– Masters degree in Data Science (2015-now)
`
`– Undergraduate degree in Data Science (2012-2015).
`
`– Graduate certificate in Data Science (2012-2015).
`
`– Undergraduate degree in Informatics (2006-2009).
`
`– PhD degree in Bioinformatics (1999-2001).
`• Co-authored one book (on Database Design), and 9 book chapters. Also edited a section of one book
`(on Systemic Risk in Finance).
`• Editor of the Synthesis Lecture Series on Data Management, Morgan and Claypool, 2016 - now.
`• Developed a Massive Open Online Course (MOOC) on Data Ethics. First offered May 2016.
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`List of Patents Issued
`
`1. S. Al-Khalifa, H. V. Jagadish, N. Koudas, J. Patel, D. Srivastava, and Y. Wu, Method of pattern
`searching, US Patent 7451144 issued 11/11/2008.
`
`2. H. V. Jagadish, N. Koudas, S. Muthukrishnan, and D. Srivastava, Method of performing approximate
`substring indexing, US Patent 7444326 issued 10/28/2008 (continuation of US Patent 7050122).
`
`3. H. V. Jagadish, N. Koudas, S. Muthukrishnan, and D. Srivastava, Method of performing approximate
`substring indexing, US Patent 7050122 issued 03/07/2006.
`
`4. G. Banga, F. Douglis, H. V. Jagadish, M. Rabinovich, and K-P. Vo, Method for transferring and
`displaying data pages on a data network, US Patent 6910073, issued 06/21/2005 (continuation of US
`Patents 5931904 and 06240447).
`
`5. G. Hjalmtysson and H. V. Jagadish, Method and Apparatus for Providing Telephony over a Computer
`Network, US Patent 06493325 issued 12/10/2002.
`
`6. A. Biliris, G. Hjalmtysson, H. V. Jagadish, M. A. Jones, E. Panagos, M. Rabinovich, and D. Srivastava,
`Messaging System with Application-Defined States, US Patent 06442546 issued 08/27/2002.
`
`7. A. Biliris, G. Hjalmtysson, H. V. Jagadish, M. A. Jones, D. Lee, I. S. Mumick, E. Panagos, D. Srivas-
`tava, and D. Vista, Declarative message addressing, US Patent 06438608 issued 08/20/2002.
`
`8. H. V. Jagadish, Raymond Ng, D. Srivastava, Method and apparatus for substring selectivity estimation,
`US Patent 06401088 issued 06/04/2002.
`
`9. N. Anerousis, A. Biliris, H. V. Jagadish, Automatic Aggregation of Network Management Information
`in Spatial Temporal and Functional Forms, US Patent 06393472 issued 05/21/2002.
`
`10. H. V. Jagadish, I. S. Mumick, M. Rabinovich, Method and apparatus for asynchronous version ad-
`vancement in a three version database, US Patent 06351753 issued 02/26/2002.
`
`11. M. Foladare, S. Goldman, and H. V. Jagadish, Method and apparatus for sending an electronic mail
`message to a receiving party, US Patent 06311210 issued 10/30/2001.
`
`12. G. Banga, F. Douglis, H. V. Jagadish, and M. Rabinovich, Method for reducing perceived delay between
`a time data is requested and a time data is available for display, US Patent 06240447 issued 05/29/2001
`(continuation of US Patent 5931904).
`
`13. A. Biliris, G. Hjalmtysson, H. V. Jagadish, M. A. Jones, D. Lee, I. S. Mumick, E. Panagos, D. Srivas-
`tava, and D. Vista, Declarative message addressing, US Patent 06212552 issued 04/03/2001. Continu-
`ation separately patented as number 06438608.
`
`14. H. V. Jagadish and I. S. Mumick, Customer group billing, US Patent 06173046 issued 01/09/2001.
`
`15. M. Aravumudan, A. DeSimone, and H. V. Jagadish, Distributed caching scheme for database systems,
`US Patent 06154749 issued 11/28/2000.
`
`16. H. V. Jagadish and I. S. Mumick, Customer profile based customized messaging, US Patent 06125173
`issued 09/26/2000.
`
`17. H. V. Jagadish and I. S. Mumick, Method and system for continuing billing arrangements, US Patent
`06105863 issued 08/22/2000.
`
`18. H. V. Jagadish and I. S. Mumick, Telephone billing with summary information, US Patent 06058170
`issued 05/02/2000.
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`19. A. Biliris, C. N. Faloutsos, H. V. Jagadish, T. Johnson, N. D. Sidiropoulos, and B-K. Yi, Method and
`apparatus for analyzing co-evolving time sequences, US Patent 06055491 issued 04/25/2000.
`
`20. A. Biliris, G. Hjalmtysson, H. V. Jagadish, M. A. Jones, I. S. Mumick, E. Panagos, and D. Srivastava,
`Sender-paid electronic messaging, US Patent 06047272 issued 04/04/2000.
`
`21. H. V. Jagadish, R. Kanneganti and S. Sudarshan, System for compression and buffering of a data
`stream with data extraction requirements, US Patent 06012062 issued 01/04/2000.
`
`22. H. V. Jagadish and I. S. Mumick, Telephone billing with customer-defined budgeting, US Patent
`05987108 issued 11/16/1999.
`
`23. H. V. Jagadish and I. S. Mumick, Telephone billing with customized billing information, US Patent
`05982864 issued 11/09/1999.
`
`24. A. Biliris, H. V. Jagadish, E. Panagos, and R. R. Rastogi, Local logging in a distributed database
`management computer system, US Patent 05966706 issued 10/12/1999.
`
`25. H. V. Jagadish, R. Kanneganti and S. Sudarshan, Method and system for compressing a data stream in
`a database log so as to permit recovery of only selected portions of the data stream, US Patent 05956504
`issued 09/21/1999.
`
`26. C. N. Faloutsos, H. V. Jagadish, and P. R. Korn, Compressed representation of a data base that permits
`AD HOC querying, US Patent 05946692 issued 08/31/1999.
`
`27. G. Banga, F. Douglis, H. V. Jagadish, M. Rabinovich, and K-P. Vo, Method for reducing the delay
`between the time a data page is requested and the time the data page is displayed, US Patent 05931904
`issued 08/03/1999.
`
`28. H. V. Jagadish and I. S. Mumick, Telephone line aggregated billing, US Patent 05915006 issued
`06/22/1999.
`
`29. S. Dar, H. V. Jagadish, A. Y. Levy, and D. Srivastava, Method and system for using materialized views
`to evaluate queries involving aggregation, US Patent 05897632 issued 04/27/1999.
`
`30. H. V. Jagadish and I. S. Mumick, Customer profile based telephone card billing, US Patent 05844972
`issued 12/01/1998.
`
`31. H. V. Jagadish, I. S. Mumick and A. Silberschatz, Interrupt-based system, US Patent 05828845 issued
`10/27/1998.
`
`32. H. V. Jagadish and E. D. Petajan, Apparatus and methods for performing electronic scene analysis and
`enhancement, US Patent 05768415 issued 06/16/1998.
`
`33. N. H. Gehani and H. V. Jagadish, Method for associating integrity maintenance constraints with data
`object classes in an object-oriented database, US Patent 05551029 issued 08/27/1996.
`
`34. H. V. Jagadish, Method for parsing images, US Patent 05365430 issued 11/15/1994.
`
`35. D. S. Fox, H. V. Jagadish, L. O’Gorman, and G. A. Story, Method for accessing information in a
`computer, US Patent 05350303 issued 09/27/1994.
`
`36. A. Asthana, J. A. Chandross, H. V. Jagadish, S. C. Knauer, and D. Lin, Computer with intelligent
`memory system, US Patent 05134711 issued 07/28/1992.
`
`37. R. Agrawal and H. V. Jagadish, Method for computing transitive closure, US Patent 04930072 issued
`05/29/1990.
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`Refereed Publications
`
`1. Qingchao Cai, Zhongle Xie, Gang Chen, H. V. Jagadish, Beng Chin Ooi, and Meihui Zhang, Effective
`Temporal Dependence Discovery in Time Series Data, PVLDB Vol. 11, no. 8, pp. 893-905, 2018.
`
`2. Yongxin Tong, Lei Chen, Zimu Zhou, H. V. Jagadish, Lidan Shou, and Weifeng Lv, SLADE: A Smart
`Large-Scale Task Decomposer in Crowdsourcing, IEEE Trans. Knowl. Data Eng., Vol. 30, no. 8, pp.
`1588-1601, 2018.
`
`3. Ke Yang, Julia Stoyanovich, Abolfazl Asudeh, Bill Howe, H. V. Jagadish, and Gerome Miklau, A
`Nutritional Label for Rankings, demo., Proc. SIGMOD Conference, pp. 1773-1776, Dallas, TX, 2018.
`
`4. Jie Song, Danai Koutra, Murali Mani, and H. V. Jagadish, GeoFlux: Hands-Off Data Integration
`Leveraging Join Key Knowledge, demo., Proc. SIGMOD Conference, pp. 1797-1800, Dallas, TX,
`2018.
`
`5. Julia Stoyanovich, Ke Yang, and H. V. Jagadish, “Online Diverse Set Selection,” Proc. Intl. Conf. on
`Extending Database Technology, Vienna, Austria, pp. 241–252, Mar. 2018.
`
`6. Jie Song, Danai Koutra, Murali Mani, and H. Jagadish, “GeoAlign: Interpolating Aggregates over
`Unaligned Partitions,” Proc. Intl. Conf. on Extending Database Technology, Vienna, Austria, pp.
`361–372, Mar. 2018. [Winner, Best Paper Award]
`
`7. Kelli M. Sas, Jiahe Lin, Thekkelnaycke M. Rajendiran, Tanu Soni, Viji Nair, Lucy M. Hinder, Hosagra-
`har V. Jagadish, Thomas W. Gardner, Steven F. Abcouwer, Frank C. Brosius III, Eva L. Feldman,
`Matthias Kretzler, George Michailidis, and Subramaniam Pennathur, “Shared and distinct lipid-lipid
`interactions in plasma and affected tissues in a diabetic mouse model,” Journal of Lipids Research
`December 13, 2017, doi:10.1194/jlr.M077222.
`
`8. Lewis Alexander, Sanjiv R. Das, Zachary Ives, H.V. Jagadish, and Claire Monteleoni, “Research Chal-
`lenges in Financial Data Modeling and Analysis No Access,” Big Data, Vol. 5, no. 3, pp. 177–188,
`Sep. 2017.
`
`9. Marina Drosou, H.V. Jagadish, Evaggelia Pitoura, and Julia Stoyanovich, “Diversity in Big Data: A
`Review, Big Data, Vol. 5, no. 2, pp. 73–84, June 2017.
`
`10. Javad Chamanara, Birgitta Knig-Ries, and H. V. Jagadish, “QUIS: InSitu Heterogeneous Data Source
`Querying,” PVLDB, Vol. 10, no. 12, pp. 877–1880, 2017.
`
`11. Zhongjun Jin, Michael R. Anderson, Michael J. Cafarella, and H. V. Jagadish, “Foofah: Transforming
`Data By Example,” SIGMOD Conference, pp. 683-698, 2017.
`
`12. Zhongjun Jin, Michael R. Anderson, Michael J. Cafarella, and H. V. Jagadish, “Foofah: A Programming-
`By-Example System for Synthesizing Data Transformation Programs,” SIGMOD Conference, pp.
`1607-1610, 2017.
`
`13. Zhongle Xie, Qingchao Cai, H. V. Jagadish, Beng Chin Ooi, and Weng-Fai Wong, “Parallelizing Skip
`Lists for In-Memory Multi-Core Database Systems,” ICDE , pp. 119-122, 2017.
`
`14. Caleb Chen Cao, Jiayang Tu, Zheng Liu, Lei Chen, and H. V. Jagadish, “Tuning Crowdsourced Human
`Computation,” ICDE, pp. 1021-1032, 2017.
`
`15. H. V. Jagadish, “The Values Challenge for Big Data Retrieval,” IEEE Data Engineering Bulletin, Vol.
`39, no. 4, pp. 77–84, Dec. 2016.
`
`16. Nikita Bhutani, H. V. Jagadish, and Dragomir R. Radev, “Nested Propositions in Open Information
`Extraction, Proc. Empirical Methods in NLP, pp. 55–64, Austin, TX, Nov. 2016.
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`17. Dawei Jiang, Qingchao Cai, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Kian-Lee Tan, and Anthony
`K. H. Tung, “Cohort Query Processing, PVLDB Vol. 10, no.1, pp. 1–12, 2016.
`
`18. Giovanni Simonini, Sonia Bergamaschi, H. V. Jagadish: BLAST: a Loosely Schema-aware Meta-
`blocking Approach for Entity Resolution. PVLDB Vol. 9, no. 12, pp. 1173–1184, 2016.
`
`19. Dong Deng, Guoliang Li, He Wen, H. V. Jagadish, Jianhua Feng, “META: An Efficient Matching-Based
`Method for Error-Tolerant Autocompletion, PVLDB Vol. 9, no. 10, pp. 828–839, 2016.
`
`20. Ramon Bespinyowong, Wei Chen, H. V. Jagadish, Yuxin Ma, Anthony Tung, “ExRank: An Ex-
`ploratory Ranking Interface, Demonstration at VLDB Conference, Delhi, India, Sep. 2016.
`
`21. Brian Puchala, Glenn Tarcea, Emmanuelle. A. Marquis, Margaret Hedstrom, H. V. Jagadish, and
`John E. Allison, “The Materials Commons: A Collaboration Platform and Information Repository for
`the Global Materials Community,” The Journal of The Minerals, Metals & Materials Society (JOM),
`Vol. 68, no. 8, pp. 2035-2044, Aug. 2016.
`
`22. Junguk Hur, Phillipe D. OBrien, Viji Nair, Lucy M. Hinder, Brett A. McGregor, H. V. Jagadish,
`Matthias Kretzler, F. C. Brosius, and Eva L. Feldman, “Transcriptional Networks of Murine Dia-
`betic Peripheral Neuropathy and Nephropathy: Common and Distinct Gene Expression Patterns,”
`Diabetologia, Vol. 59, No. 6, pp. 1297–1306, June 2016.
`
`23. M. D. Flood, H. V. Jagadish, L. Raschid, ”Big data challenges and opportunities in financial stability
`monitoring,” Financial Stability Review, Banque de France, issue 20, pp. 129-142, April 2016.
`
`24. Manish Singh, Michael J. Cafarella, H. V. Jagadish, “DBExplorer: Exploratory Search in Databases,”
`Proc. Intl. Conf. on Extending Database Technology, pp. 89–100, Bordeaux, France, Mar. 2016.
`
`25. Zhe Chen, Michael J. Cafarella, H. V. Jagadish, “Long-tail Vocabulary Dictionary Extraction from
`the Web,” Proc. ACM Intl. Conf. on Web Search and Data Mining, pp. 625–634, San Francisco, CA,
`Feb. 2016.
`
`26. H. V. Jagadish, Li Qian, Arnab Nandi, “Organic databases,” IJCSE Vol. 11, no. 3, pp. 270–283,
`2015.
`
`27. Li Qian, Jinyang Gao, H. V. Jagadish, “Learning User Preferences By Adaptive Pairwise Comparison,”
`PVLDB Vol. 8, no. 11, pp. 1322–1333, 2015.
`
`28. Hasan M. Jamil, H. V. Jagadish, “A Structured Query Model for the Deep Relational Web,” Proc.
`CIKM, pp. 1679–1682, 2015.
`
`29. Jinyang Gao, H. V. Jagadish, Beng Chin Ooi, Sheng Wang, “Selective Hashing: Closing the Gap
`between Radius Search and k-NN Search,” Proc. KDD, pp. 349–358, 2015.
`
`30. Zhifeng Bao, Yong Zeng, H. V. Jagadish, Tok Wang Ling, “Exploratory Keyword Search with Inter-
`active Input,” SIGMOD Conference, pp. 871–876, 2015.
`
`31. Zhifeng Bao, Yong Zeng, Tok Wang Ling, Dongxiang Zhang, Guoliang Li, H. V. Jagadish, “A general
`framework to resolve the MisMatch problem in XML keyword search,” VLDB J Vol. 24, no. 4, pp.
`493–518, 2015.
`
`32. Yanyan Shen, Gang Chen, H. V. Jagadish, Wei Lu, Beng Chin Ooi, and Bogdan Marius, “Tudor: Fast
`Failure Recovery in Distributed Graph Processing Systems,” PVLDB Vol. 8, no. 4, pp. 437–448, 2015.
`
`33. Fei Li, H. V. Jagadish, “Constructing an Interactive Natural Language Interface for Relational Databases,”
`PVLDB Vol. 8, no. 1, pp. 73–84, 2014. Winner Best Paper at VLDB 2015 Conference.
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`34. Li Qian, Jinyang Gao, H. V. Jagadish, “Learning User Preferences By Adaptive Pairwise Comparison,”
`PVLDB Vol. 8, no. 11, pp. 1322–1333, 2015.
`
`35. Cheng Long, Raymond Chi-Wing Wong, H. V. Jagadish, “Trajectory Simplification: On Minimizing
`the Direction-based Error,” PVLDB Vol. 8, no. 1, pp. 49–60, 2014.
`
`36. Caleb Chen Cao, Lei Chen, H V Jagadish, “From labor to trader: opinion elicitation via online crowds
`as a market,” Proc. Intl. Conf. Knowledge Discovery and Data Mining, pp. 1067–1076, Aug. 2014.
`Gang Chen, H. V. Jagadish, Dawei Jiang, David Maier, Beng Chin Ooi, Kian Lee Tan, and Wang
`Chiew Tan, “Federation in Cloud Data Management: Challenges and Opportunities,” IEEE Trans. on
`Knowledge and Data Engineering, Vol. 26, no. 7, pp. 1670–1678.
`
`37. Zhifeng Bao, Yong Zeng, H. V. Jagadish, Tok Wang Ling, “Exploratory Keyword Search with Inter-
`active Input,” Proc. ACM-SIGMOD Int’l Conference on the Management of Data, pp. 871–876, June
`2014.
`
`38. Fei Li, Tianyin Pan, H. V. Jagadish, “Schema-Free SQL,” Proc. ACM-SIGMOD Int’l Conference on
`the Management of Data, pp. 1051–1062, June 2014.
`
`39. Jinyang Gao, H. V. Jagadish, Wei Lu, Beng Chin Ooi, “Data Sensitive Hashing for High-Dimensional
`k-NN Search,” Proc. ACM-SIGMOD Int’l Conference on the Management of Data, pp. 1127–1138,
`June 2014.
`
`40. Chen Zhang, Ziyuan Zhao, Lei Chen, H. V. Jagadish, Chen Cao, “CrowdMatcher: Crowd-Assisted
`Schema Matching,” Demo. Proc. ACM-SIGMOD Int’l Conference on the Management of Data, pp.
`721–724, June 2014.
`
`41. Fei Li, H. V. Jagadish, “NaLIR: An Interactive Natural Language Interface for Querying Relational
`Databases,” Demo. Proc. ACM-SIGMOD Int’l Conference on the Management of Data, pp. 709–712,
`June 2014.
`
`42. Thuy Ngoc Le, Tok Wang Ling, H. V. Jagadish, Jiaheng Lu, “Object Semantics for XML Keyword
`Search,” DASFAA, Vol. 2, pp. 311–327, Apr. 2014.
`
`43. Yong Zeng, Zhifeng Bao, Tok Wang Ling, H. V. Jagadish, Guoliang Li, “Breaking out of the MisMatch
`trap,” Proc. IEEE Intl. Conf. Data Engineering, pp. 940–951, Apr. 2014.
`
`44. Caleb Chen Cao, Yongxin Tong, Lei Chen, H. V. Jagadish, “WiseMarket: a new paradigm for managing
`wisdom of online social users,” Proc. Intl. Conf. Knowledge Discovery and Data Mining, pp. 455-463,
`Aug. 2013.
`
`45. Cheng Long, Raymond Chi-Wing Wong, H. V. Jagadish, “Direction-Preserving Trajectory Simplifica-
`tion,” PVLDB, Vol. 6, no. 10, pp. 949-960, July 2013.
`
`46. Chen Jason Zhang, Lei Chen, H. V. Jagadish, Caleb Chen Cao, “Reducing Uncertainty of Schema
`Matching via Crowdsourcing,” PVLDB, Vol. 6, no. 9, pp. 757-768, June 2013.
`
`47. Jing Zhang, H. V. Jagadish, “Revision Provenance in Text Documents of Asynchronous Collaboration,”
`Proc. IEEE Intl. Conf. Data Engineering, Brisbane, Australia, pp. 889-900, April 2013.
`
`48. Anna A. Shaverdian, Hao Zhou, George Michailidis, H. V. Jagadish, “A Graph Algebra for Scalable
`Visual Analytics,” IEEE Computer Graphics and Applications, Vol. 32, no. 4, pp. 26–33, 2012.
`
`49. Fei Li, H. V. Jagadish, “Usability, Databases, and HCI,” IEEE Data Engineering Bulletin, Vol. 35,
`no. 3, pp. 37–45, 2012.
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`50. Li Qian, Michael Cafarella, H. V. Jagadish, “Sample-Driven Schema Mapping,” Proc. ACM-SIGMOD
`Int’l Conference on the Management of Data, Scottsdale, AZ, pp. 73–84, May 2012.
`
`51. Manish Singh, Arnab Nandi, H. V. Jagadish, “Skimmer: Rapid Scrolling of Relational Query Results,”
`Proc. ACM-SIGMOD Int’l Conference on the Management of Data, Scottsdale, AZ, pp. 181–192, May
`2012.
`
`52. Manish Singh, Qiang Zhu, H. V. Jagadish, “SWST: A Disk Based Index for Sliding Window Spatio-
`Temporal Data,” Proc. Intl. Conf. Data Engg., Washington, DC, pp. 342–353, April 2012.
`
`53. Fernando Farfan, Jun Ma, Maureen A Sartor, George Michailidis, H. V. Jagadish, “THINK Back:
`KNowledge-based Interpretation of High Throughput data,” BMC Bioinformatics, Vol. 13(Suppl 2),
`p. S4, March 2012. Also presented at Great Lakes Bioinformatics Conference, May 2011.
`
`54. Brian D. Athey, James D. Cavalcoli, H. V. Jagadish, Gilbert S. Omenn, Barbara Mirel, Matthias
`Kretzler, Charles F. Burant, Raphael D. Isokpehi, Charles DeLisi, “The NIH National Center for
`Integrative Biomedical Informatics (NCIBI),” JAMIA Vol. 19, no. 2, pp. 166–170, Feb. 2012.
`
`55. Alla Karnovsky, Terry E. Weymouth, Tim Hull, V. Glenn Tarcea, Giovanni Scardoni, Carlo Laudanna,
`Maureen A. Sartor, Kathleen A. Stringer, H. V. Jagadish, Charles F. Burant, Brian D. Athey, Gilbert
`S. Omenn, “Metscape 2 bioinformatics tool for the analysis and visualization of metabolomics and gene
`expression data,” Bioinformatics , Vol. 28, no. 3, pp. 373–380, 2012.
`
`56. H. V. Jagadish, Arnab Nandi, Li Qian, “Organic Databases,” Proc. DNIS, Aizu-Kawamatsu, Japan,
`pp. 49–63, Dec. 2011.
`
`57. Arnab Nandi and H. V. Jagadish, “Guided Interaction: Rethinking the Query-Result Paradigm,” Proc.
`VLDB Endowment, Vol. 4, no. 12, pp. 1466–1469, 2011.
`
`58. Jun Ma, Maureen A. Sartor, and H. V. Jagadish, “Appearance frequency modulated gene set enrich-
`ment testing,” BMC Bioinformatics, Vol. 12, p. 81, 2011.
`
`59. Junguk Hur, Kelli Sullivan, Manjusha Pandey, Y. Hong, AA Sima, H. V. Jagadish, Matthias Kretzler,
`and Eva Feldman, “The identification of gene expression profiles associated with progression of human
`diabetic neuropathy,” Brain, Vol. 134, Pt 11, pp. 3222–3235, Nov. 2011.
`
`60. Mark Flood, H. V. Jagadish, Albert Kyle, Frank Olken, and Louiqa Raschid, “Using Data for Systemic
`Financial Risk Management,” Proc. CIDR, Monterey CA, pp 144–147, Jan. 2011.
`
`61. Li Qian, Kristen Lefevre, and H. V. Jagadish, “CRIUS: User-Friendly Database Design,” Proc. VLDB
`Endowment, Vol. 4, no. 2, pp. 81–92, 2010.
`
`62. Junguk Hur, Kelli Sullivan, A. D. Schuyler, Y. Hong, Manjusha Pande, David States, H. V. Jagadish,
`and Eva Feldman, “Literature-based discovery of diabetes- and ROS-related targets,” BMC Med Ge-
`nomics, Vol. 3, p. 49, Oct. 2010.
`
`63. Bin Liu, Laura Chiticariu, Vivian Chu, H. V. Jagadish, and Fred Reiss, “Automatic Rule Refinement
`for Information Extraction,” Proc. VLDB Endowment, Vol. 3, no. 1, pp. 588–597, 2010.
`
`64. Rui Zhang, H. V. Jagadish, Bing Tian Dai, and Kotagiri Ramamohanarao, “Optimized Algorithms
`for Predictive Range and KNN Queries on Moving Objects,” Information Systems, Vol. 35, no. 8, pp.
`911–932, 2010.
`
`65. Jing Gao, V. Clenn Tarcea, Alla Karnovsky, Barbara Mirel, Terry E. Weymouth, Christopher W.
`Beecher, James D. Cavalcoli, Brian D. Athey, Gilbert S. Omenn, Charles F. Burant and H.V. Jagadish,
`“Metscape: a Cytoscape plug-in for visualizing and interpreting metabolomic data in the context of
`human metabolic networks,” Bioinformatics, Vol. 26, no. 7, pp. 971–973, Apr. 2010.
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`66. Jing Zhang and H. V. Jagadish, “Lost Source Provenance,” Proc. Intl. Conf. on Extending Database
`Technology, Lausanne, Switzerland, pp. 311–312, Mar. 2010.
`
`67. Maureen A. Sartor, Vasudeva Mahavisno, Venkateshwar G. Keshamouni, James D. Cavalcoli, Zach
`Wright, Alla Karnovsky, Rork Kuick, H. V. Jagadish, Barbara Mirel, Terry E. Weymouth, Brian D.
`Athey, and Gilbert S. Omenn, “ConceptGen: a gene set enrichment and gene set relation mapping
`tool,” Bioinformatics, Vol. 26, no. 4, pp. 456–463, Feb. 2010.
`
`68. Adriane Chapman and H. V. Jagadish, “Understanding Provenance Black Boxes,” Distributed and
`Parallel Databases, Vol. 27, no. 2, pp. 139–167, 2010.
`
`69. Bin Liu, Laura Chiticariu, V. Chu, H. V. Jagadish, and Fred Reiss, “Refining Information Extraction
`Rules Using Data Provenance, IEEE Data ENgineering Bulletin, Vol. 33, no. 3, pp. 17–24, 2010.
`
`70. Hao Zhou, Anna A. Shaverdian, H. V. Jagadish, and George Michailidis, “Multiple Step Social Struc-
`ture Analysis with Cytoscape, Proc. IEEE Symposium on Visual Analysis Science and Technology,
`2009.
`
`71. Suresh K. Bhavnani, Felix Eichinger, Sebastian Martini, Paul Saxman, H. V. Jagadish, and Matthias
`Kretzler, “Network analysis of genes regulated in renal diseases:
`implications for a molecular-based
`classification,” BMC Bioinformatics (BMCBI) Vol. 10, no. S-9, pp. 3, 2009.
`
`72. Junguk Hur, M. Kretzler, V. Nair, H. V. Jagadish, K. A. Sullivan, et al, “Gene Expression Profile
`Predictive Diabetic Neuropathy Progression,” Annals of Neurology, Vol. 66, Suppl. 13, pp. S63-S63,
`2009.
`
`73. Bin Liu and H. V. Jagadish, “Using Trees to Depict a Forest,” Proc. VLDB Endowment, Vol. 1, no 1,
`pp. 133–144, 2009.
`
`74. Neamat El-Tazi and H. V. Jagadish, “BPI-TWIG: XML Twig Query Evaluation,” Proc. XSym, pp.
`17–24, 2009.
`
`75. Daniel Fabbri, Arnab Nandi, Kristen LeFevre, and H. V. Jagadish, “PrivatePond: Outsourced Man-
`agement of Web Corpuses,” WebDB 2009.
`
`76. Adriane Chapman and H. V. Jagadish, “Why not?,” Proc. ACM-SIGMOD Int’l Conference on the
`Management of Data, Providence, RI, pp. 523-534, Jun-Jul, 2009.
`
`77. Bin Liu and H. V. Jagadish, “DataLens: making a good first impression,” Proc. ACM-SIGMOD Int’l
`Conference on the Management of Data (demo.), Providence, RI, pp. 523-534, Jun-Jul, 2009.
`
`78. Bin Liu and H. V. Jagadish, “A Spreadsheet Algebra for a Direct Data Manipulation Query Interface,”
`Proc. Intl. Conf. Data Engg., Shanghai, China, pp. 417–428, April 2009.
`
`79. Arnab Nandi and H. V. Jagadish, “Qunits: queried units in database search,” Proc. CIDR, Monterey
`CA, Jan. 2009.
`
`80. Magesh Jayapandian and H. V. Jagadish, “Automating the Design and Construction of Query Forms,”
`IEEE Trans. Knowl. Data Engg., Vol. 21, no. 10, pp. 1389–1402, 2009.
`
`81. Jing Gao, Alex S. Ade, V. Glenn Tarcea, Terry E. Weymouth, Barbara R. Mirel, H. V. Jagadish, and
`David J. States, “Integrating and annotating the interactome using the MiMI plugin for cytoscape,”
`Bioinformatics, Vol. 25, no. 1, pp. 137–138, 2009.
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`82. V. Glenn Tarcea, Terry Weymouth, Alex Ade, Aaron Bookvich, Jing Gao, Vasudeva Mahavisno, Zach
`Wright, Adriane Chapman, Magesh Jayapandian, Arzucan Ozgur, Yuanyuan Tian, Jim Cavalcoli, Bar-
`bara Mirel, Jignesh Patel, Dragomir Radev, Brian Athey, David States and H.V. Jagadish, “Michigan
`Molecular Interactions (MiMI) r2: From Interacting Proteins to Pathways,” Nucleic Acids Research,
`Vol. 37, pp. D642–D646, Jan. 2009. doi:10.1093/nar/gkn722
`
`83. Yunyao Li, Rajasekar Krishnamurthy, Sriram Raghavan, Shivakumar Vaithyanathan, and H. V. Ja-
`gadish, “Regular Expression Learning for Information Extraction,” EMNLP, pp. 21–30, 2008.
`
`84. Yunyao Li, Cong Yu and H. V. Jagadish, “Enabling Schema-Free XQuery with Meaningful Query
`Focus,” VLDB Journal, vol. 17, no. 3, pp. 355–377, 2008.
`
`85. Magesh Jayapandian and H. V. Jagadish, “Automated creation of a forms-based database query in-
`terface,” Proc. VLDB Endowment, Vol. 1, no 1, pp. 695–709, 2008.
`
`86. Cong Yu and H. V. Jagadish, “XML Schema Refinement through Redundancy Detection and Normal-
`ization,” VLDB Journal, vol. 17, no. 2, pp. 203–223, 2008.
`
`87. ID Dinov, D Rubin, W Lorensen, J Dugan, J Ma, S Murphy, B Kirschner, W Bug, M Sherman, A
`Floratos, D Kennedy, HV Jagadish, J Schmidt, B Athey, A Califano, M Musen, R Altman, R Kikinis, I
`Kohane, S Delp, DS Parker, and AW Toga, “iTools: A Framework for Classification, Categorization and
`Integration of Computational Biology Resources,” PLoS ONE 3(5): e2265. doi:10.1371/journal.pone.0002265,
`May 2008.
`
`88. Adriane Chapman, H. V. Jagadish, and Prakash Ramanan, “Efficient Provenance Storage,” Proc.
`ACM-SIGMOD Int’l Conference on the Management of Data, Vancouver, BC, pp. 993–1006, June
`2008.
`
`89. Nuwee Wiwatwattana and H. V. Jagadish, “A Query Processing Architecture for an XML Data Ware-
`house,” Proc. Intl. Conf. Data Engg., Cancun, Mexico, pp. 1513–1515, April 2008.
`
`90. Magesh Jayapandian and H. V. Jagadish, “Expressive Query Specification through Form Customiza-
`tion,” Proc.
`Intl. Conf. on Extending Database Technology, Nantes, France, pp. 416–427, Mar.
`2008.
`
`91. Bin Cui, H. V. Jagadish, Beng Chin Ooi, and Kian-Lee Tan, “Compacting Music Signatures for Efficient
`Music Retrieval,” Proc. Intl. Conf. on Extending Database Technology, Nantes, France, pp. 229–240,
`Mar. 2008.
`
`92. Yunyao Li, Huahai Yang, and H.V. Jagadish, “NaLIX: A Generic Natural Language Search Environ-
`ment for XML Data,” ACM Trans. Database Systems, Vol. 32, no. 4, 2007.
`
`93. Shurug Al-Khalifa, Bin Liu, and H. V. Jagadish, “Evaluating Universal Quantification in XML,” IEEE
`Trans. Knowl. Data Engg., Vol. 19, No. 11, pp. 1494–1507, Nov. 2007.
`
`94. Arnab Nandi and H. V. Jagadish, “Effective Phrase Prediction,” Proc. 33rd Intl. Conf. on Very Large
`Databases, Vienna, Austria, pp. 219–230, Sep. 2007.
`
`95. Michael Morse, Jignesh Patel, and H. V. Jagadish, “Efficient Skyline Computation over Low Cardinality
`Domains,” Proc. 33rd Intl. Conf. on Very Large Databases, Vienna, Austria, pp. 267–278, Sep. 2007.
`
`96. Cong Yu and H. V. Jagadish, “Querying Complex Structured Databases,” Proc. 33rd Intl. Conf. on
`Very Large Databases, Vienna, Austria, pp. 1010–1021, Sep. 2007.
`
`97. Yunyao Li, Ishan Chaudhuri, Huahai Yang, Satinder Singh, and H. V. Jagadish, “Enabling