Brian D. Davison, Ph.D. Pronouns: He/him/his Department of Computer Science and Engineering P.C. Rossin College of Engineering and Applied Science Lehigh University

Dr. Brian D. Davison is professor of computer science and engineering, associate director of the Institute for Data, Intelligent Systems and Computation (I-DISC), co-director of the interdisciplinary Master's Program in Data Science, and director of the undergraduate minor in data science. He regularly teaches data science and previously has taught courses on data mining, web search engines, networking, system administration, and C and UNIX programming. In 2021 he completed his term as editor-in-chief of the ACM journal, Transactions on the Web. During his most recent sabbatical, he worked in the Core Data Science group at Facebook (now called Meta). Dr. Davison earned his B.S. from Bucknell University and his M.S. and Ph.D. in Computer Science from Rutgers University. His research includes search, mining, recommendation and classification problems in text, on datasets, on the Web and in social networks. He is an NSF Faculty Early Career award winner. Dr. Davison's research has been supported by the National Science Foundation, the Defense Advanced Research Projects Agency, Microsoft, Amazon, and Sun Microsystems.

Dr. Davison's CV is also available.

Ask me about Lehigh's NEW Master of Science in Data Science program, starting summer 2022!

Special opportunity for colleagues in industry, government, etc.

Would you be interested in co-advising a doctoral student (who you approve) so that she or he learns to think in terms of research in your setting, and not just academia? Lehigh has a new program called P3 (Pasteur Partners PhD) that enables such an arrangement with me or my faculty colleagues in any STEM field, focusing on use-inspired research.

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Research Publications The Web Understanding, Modeling and Evaluation Lab Externally-funded projects: The PRAISys project (NSF) Lehigh's Intelligent and Scalable Systems REU Site (NSF) Domain-Agnostic Dataset Search (NSF) Other interdisciplinary projects: Community Resilience: Perceptions Shaping Reality in Disaster Recovery Efficient, Explainable and Robust Data Scientific Methods for Smart Engineering Systems Associate Director, Institute for Data, Intelligent Systems and Computation (I-DISC) Member, Institute for Cyber Physical Infrastructure and Energy (I-CPIE) Teaching Fall 2022: CSE 160 - Introduction to Data Science Summer 2022: NEW COURSE: DSCI 310 - Introduction to Data Science Spring 2022: NEW COURSE: DSCI 398 - Introduction to Data Science (see flyer) (earlier courses) Office Hours for Summer 2022 Ofice hours by request.

Service Associate Editor, Frontiers in Big Data, Data Mining and Management Section (since 2018). Senior Associate Editor, ACM Transactions on Intelligent Systems and Technology (since 2021). Editor-in-chief, ACM Transactions on the Web (2015-2021). Chair, WSDM Conference Steering Committee (2018-2020). Organizer or co-organizer of SIGIR 2018, WSDM 2017, SIGIR 2016, SIGIR 2015, WSDM 2014, AppWeb 2012, WSDM 2010, CES/HPC 2009, AIRWeb 2007, ECML/PKDD 2007 GraphLab Workshop, AIRWeb 2006, AIRWeb 2005, WCW 2003. Track chair, area chair or senior program committee member of SIGIR 2022, TheWebConf 2022, SIGIR 2021, WSDM 2021, SIGIR 2020, WWW 2020, WSDM 2020, CIKM 2019, SIGIR 2019, WWW 2019, WSDM 2019, WWW 2018, WSDM 2018, SIGIR 2017, WSDM 2017, IJCAI 2016, WWW 2016, WSDM 2016, CIKM 2015, WWW 2015, CIKM 2014, SIGIR 2014, AAAI 2014, SIGIR 2013, AAAI 2011, WWW 2011, KDD 2010. Additional program committee membership in the past decade: WSDM 2022, BigData 2021, ASONAM 2021, WSDM 2021 Tutorials, BigData 2020, SIGIR 2020 Short Papers, HotWoT 2019, BigData 2019, SDM 2019, BigData 2018, HotWoT 2018, BigData 2017, HotWeb 2017, WWW 2017, CIKM 2016, HotWeb 2016, ACL 2016, WI-IAT 2015 Special Session on Quality of User Generated Content, ASONAM 2015, KDD 2015, SIGIR 2015 Workshop on Privacy-Preserving IR, WSDM 2015, WWW 2014, WebQuality 2014, WSDM 2014, KDD 2013, ICWSM 2013, WebQuality 2013, WWW 2013, WSDM 2013. Reviewer for funding agencies, multiple book publishers and many conferences and journals.

Recent and Upcoming Travel Plans

When	Where	What
Jul 11-15 2021	Online	SIGIR 2021 Conference
Aug 9-14 2021	Indianapolis, IN	Drum Core International 2021 Celebration
Feb 21-25 2022	Online	WSDM 2022 Conference
Jul 18-22 2022	Snowbird, UT	CRA Snowbird Conference

Summer 2022 Schedule (but see Google Calendar at right for specific days)

When Where What Mon 1-2pm Online I-DISC Leadership (biweekly) Mon 1-1:30pm Online Data Science MS Program meeting (biweekly) Mon 3:30-4:30pm Online IRI Directors Meeting (biweekly) Tue 12:15-1:15pm BC 307/Online CSE Dept meeting or talk (occasional) Tue 2-3pm Online Research meeting (biweekly) Wed 8-9:30am Online Off-campus meeting (occasional) Wed 9-10am BC233/Online Meeting (biweekly) Wed 2:30-3pm Online Meeting (occasional) Wed 4-4:30pm Online Meeting Thu 8-9:30am Online Off-campus meeting (occasional) Thu 11-noon Online Research meeting Thu 4-5pm Online Data Science MS Program Directors meeting Fri 10:00-11:00am Online Dataset Search Research Mtg (biweekly) Fri 11:00-noon Online Data Science MS Program meeting Fri 2-2:30pm Online CatModeling Research Mtg

Other items of interest

Dr. Davison in the news My advice to Lehigh students. Updated January 2022 Current students: Eashan Adhikarla, Zhiyu Chen, and Dan Luo. Recent postdocs: Wenjuan Sun (2016-2020) Recent visitors: Dr. Yan Fu (Beijing Normal Univ., 2011-2012) Dr. Xiannong Meng (Bucknell Univ., Spring 2012) Former undergraduate students: Mathangi Sundar (BITS-Pilani, summer and fall 2019) Yang Yi (2018) Baiyu Xiang (2017-2018) Faith Komlo (2016-2017) Elizabeth Koshelev (Brandeis University, summer of 2017) Marissa Como (Providence College, summer of 2015)

Former graduate students: Youshan Zhang (PhD '21) Sicong Kuang (PhD '20) Ovidiu Dan (PhD '19) Zaihan Yang (PhD '14) William West (MS '14) Dawei Yin (PhD '13) Liangjie Hong (PhD '13) Na Dai (PhD '13) Yufei Xia (MS '13) Jennifer Bayzick Tannenbaum (MS '13) Xiaoguang Qi (PhD '12) Zhenzhen Xue (MS '10) Jian Wang (MS '09) Lan Nie (PhD '08) Shruti Bhandari (MS '08) YaoShuang Wang (MS '08) Baoning Wu (PhD '07) Vinay Goel (MS '06) Wei Zhang (MS '04) Kalyan C. Boggavarapu (MS '04) Kiran K. Komaravolu (MS '04) David B. Lewanda (MS '03) David G. Deschenes (MS '03)

To Reach Me

Everything in moderation, also known in Latin as Modus omnibus in rebus.
-- Ancient Greek Proverb (the Latin is from Plautus).

Never ascribe to malice what you can ascribe to stupidity -- especially your own.
-- See Hanlon's Razor and M.N. Plano's version

The best-laid schemes o' mice an' men; Gang aft a-gley
-- Robert Burns: To a Mouse (original Scots)

Love like there is no tomorrow.
-- Multiple popular references

The perfect is the enemy of the good.
-- Voltaire (loosely translated from the French)

A PhD doesn't mean you are an expert in any particular subject; it just means that you could become one if you wanted to.
-- Me (AFAIK)

In theory, there is no difference between theory and practice. But, in practice, there is.
-- Jan L. A. van de Snepscheut (attributed)