VAGELIS HRISTIDIS (also Evangelos Christidis)
Dept. of Computer Science and Engineering
University of California, Riverside
Riverside, CA 92521
office tel.: +1 951 827-2478
Home Page: http://www.cs.ucr.edu/~vagelis
EDUCATION
Ph.D. in Computer Science, August 2004
(Advisor: Prof. Yannis Papakonstaninou)
University of California, San Diego
M.S. in Computer Science, December 2000
University of California, San Diego
B.S. in Electrical Engneering & Computer Science, 1999
National Technical University of Athens
WORK EXPERIENCE
Professor, 2015-present
Dept. of Computer Science and Engineering
University of California, Riverside
Associate Professor, 2011-2015
Dept. of Computer Science and Engineering
University of California, Riverside
Associate Professor, 2010-2011
School of Computing and Information Sciences
Florida International University
Assistant Professor, 2004-2010
School of Computing and Information Sciences
Florida International University
Intern at Microsoft Research, Redmond, Summer 2003
Worked with Surajit Chaudhuri and Gautam Das on Automatically Ranking the
Results of Queries. Studied and developed solutions for the problem.
DIMACS Scholar, Summer 2002
AT&T Labs-Research, Florham Park NJ
Worked with Nick Koudas and Divesh Srivastava on Keyword Search in XML.
Software Developer, 1997-1998
Worked for Syndesis Ltd in the development of CASE tools for fuzzy logic.
Created the data schema specifications and implemented various software modules
using Visual C++.
HONORS AND AWARDS
- Best paper award at IEEE International Conference on Semantic Computing
(ICSC) 2021
- Runner-up for the 2020 Rose Dobrof Award from the American Federation for Aging Research
- Best Interdisciplinary Paper Award at ACM Conference on Information and Knowledge Management (CIKM) 2010
- FIU School of Computing and Information Sciences Research Award, 2010
- Google Research Award, 2010
- IBM Scalable Data Analytics for A Smarter Planet Innovation Award, 2010
- NSF CAREER Award, 2010-2015
- Kauffmann Foundation Entrepreneurship Award, 2008
- FIU Faculty Research Award, 2008
- FIU School of Computing and Information Sciences Research Award, 2006
- DIMACS Scholar, Summer 2002
- Eugenidou Foundation Scholarship, 2000-2002, Awarded by the Eugenidou Foundation in Greece for excellence in academics and
research
AWARDED GRANTS
- NSF IIS-2227669- $600K, 1/2023-12/2025
Role: PI (co-PI: Yihan Sun)
Title: III: Small: Rethinking the Data Organization and Lifecycle in LSM
Storage Systems
- NSF IIS-1901379- $1.2M, 8/2019-7/2023
Role: PI (co-PIs: Amit-Roy Chowdhury, Vagelis Papalexakis, Vassilis Tsotras,
Konstantinos Karydis)
Title: III: Medium: Efficient Collaborative Perception over Controllable Agent Networks
- NSF IIS-1838222 - $2.7M (including $750K AWS credit; UCR: $1.35M, UCI:
$650K), 1/2019-12/2022
Role: Lead PI of Collaborative Grant (co-PIs: Ahmed Eldawy, Vassilis Tsotras,
Mike Carey (UCI))
Title: BIGDATA: F: Collaborative Research: Optimizing
Log-Structured-Merge-Based Big Data Management Systems
- NSF IIS-1746031 - $232,000, 8/2017-12/2019
Role: PI (co-PIs: Amit-Roy Chowdhury, Vagelis Papalexakis, Vassilis Tsotras)
Title: EAGER: Joint Modeling and Querying of Social Media and Video Data
- NSF III-1619463 - $500,000, 7/2016-6/2020
Role: sole co-PI (PI: Neal Young)
Title: III: Small: Increase the Throughput of Non-Relational Databases through Theoretical Modeling and Optimization
- NSF IIS-1447826 - $750,000, 9/2014-8/2019
Role: sole co-PI (PI: V. Tsotras)
Title: BIGDATA: F: DKM: Collaborative Research: Making Big Data Active: From Petabytes to Megafolks in Milliseconds
- NSF IIP-1448848 - $225,000, 1/2015-12/2015
Role: sole co-PI (PI: M. Wiley)
Title: STTR Phase I: A Social and Data-Driven Platform for Searching Healthcare Providers
- Intelligence Advanced Research Projects Activity (IARPA). $352,372, 8/2014-7/2015
Role: PI (co-PIs: Amit Roy-Chowdhury, Harsha Madhyastha, Vassilis Tsotras)
Title: Spatiotemporal Investigative Exploration of Large-Scale Social Networking Data
- UCR $72K 5/2014-4/2015
Role: co-PI (PI: Miguel Angel Aragon Calvo)
Title: Scientific discoveries in the age of Big Data: The case for a Big Data Center!
UCR Collaborative Seed Grant Program
- Samsung Research Award. $100K/year, start: 2/2014
Role: PI (co-PI: Laxmi Bhuyan)
Title: IO Optimizations for Bigdata Stores
- DTRA HDTRA1-13-C-0078 - $480,692, 10/2013-4/2015
Role: co-PI (PI: Harsha Madhyastha)
Title:
Leveraging Online Social Networks for Early Detection of Agricultural Bioterrorism
Defense Threat Reduction Agency (DTRA)
- UCR $60K 9/2013-8/2014
Role: co-PI (PI: K. Esterling)
Title: The Role of, and Opportunities for, Online Social Media in Diabetes
Care
UCR Collaborative Seed Grant Program
- NSF CNS#1126619 - $678K, active from 9/1/2011 to 8/31/2014
Role: co-PI (PI: Naphtali Rishe)
Title: MRI: Development of an Integrated, Geospatial Analytics Research
Instrument
National Science Foundation, Division of Computer and Network Systems
- IBM Scalable Data Analytics for A Smarter Planet Innovation Award, $20K,
awarded in 10/2010
Role: co-PI (PI: Tao Li)
Title: Knowledge Discovery and Information Delivery for Disaster Management
- Google Research Award, $70K, awarded in 8/2010
Role: PI (co-PI Panos Ipeirotis)
Title: Collaborative Adaptive Data Sharing
- NSF IIS# 0952347 - $525K, active from 4/2010 to 3/2015
Role: sole PI
Title: CAREER: A Collaborative Adaptive Data Sharing Platform
National Science Foundation, Division of Information & Intelligent Systems
- NSF IIS# 0811922 - $366K, active from 9/2008 to 8/2011
Role: sole PI
Title: III-CXT-Small: Information Discovery on Domain Data Graphs
National Science Foundation, Division of Information & Intelligent Systems
- DHS 2009-ST-062-000016 - $200K, active from 5/2009 to 4/2011
Role: PI (co-PI: Tao Li)
Title: Information Delivery and Knowledge Discovery for Hurricane Disaster
Management
Department of Homeland Security
- NSF CNS# 0821345 - $1M, active from 8/2008 to 7/2013
Role: co-PI (PI: Naphtali Rishe)
Title: MRI: Development of a High-Performance Database Appliance for Geospatial
Applications
National Science Foundation, Division of Computer and Network Systems
- NSF IIS# 0837716 - $150K, active from 6/2008 to 12/2009
Role: co-PI (PI: Naphtali Rishe)
Title: Investigation of Geospatial Data Management on MapReduce Platform
National Science Foundation, Division of Industrial Innovation and Partnerships
- NSF IIP# 0829576 - $140K, active from 7/2008 to 7/2010
Role: co-PI (PI: Naphtali Rishe)
Title: Center for Advanced Knowledge Enablement
National Science Foundation, Division of Industrial Innovation and Partnerships
- NSF HRD-0833093 - $1.5M, active from 9/1/08-8/31/13
Role: co-PI (PI: Naphtali Rishe)
Title: Subproject 1: Effective Access to Complex Multimodal Data with
Applications in Disaster Management
National Science Foundation, Division of Human Resource Development
- NSF IIS# 0534530 - $396K (excluding Supplements), active from 1/2006 to
12/2008
Role: sole co-PI (PI: Raju Rangaswami)
Title: Building Efficient, Native Storage Systems for Semi-structured Data
National Science Foundation, Division of Information & Intelligent Systems
- NSF I/UCRC #0630322 - $10K, active from 9/1/2006 to 8/31/2007
Role: co-PI (PI: Naphtali Rishe)
Title: Collaborative Research: Science of Search: Data Search, Analytics, and
Architectures Center (DSAAC)
National Science Foundation, Directorate of Engineering
- Kauffman Foundation of Entrepreneurship- $10K, active from 2/1/2008 to
2/1/2009
Role: sole PI
Title: Effective Search on Patent Databases
- FIU Faculty Research Award- $12K, active from 6/1/2008 to 6/1/2009
Role: sole PI
Title: Effective Search on Patent Databases
PUBLICATIONS
The key scientific disciplines where I am actively publishing are:
Databases, Information Retrieval, Data Mining and Health Informatics
Books
- Vagelis Hristidis. Information Discovery on Electronic Health Records. CRC -
Taylor & Francis, December 2009 (also co-authored 4 chapters), ISBN:
9781420090383, ISBN 10: 1420090380
Conferences/Workshops
- Muhammad Shihab Rashid, Jannat Ara Meem, Yue Dong, Vagelis Hristidis. EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models. Findings of the Association for Computational Linguistics (ACL), 2024
- Jannat Ara Meem, Muhammad Shihab Rashid, Yue Dong, Vagelis Hristidis. PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering. Findings of the Association for Computational Linguistics (ACL), 2024
- Muhammad Shihab Rashid, Jannat Ara Meem and Vagelis Hristidis. NORMY:
Non-Uniform History Modeling for Open Retrieval Conversational Question
Answering. IEEE International Conference on Semantic Computing (ICSC) 2024
- Qizhong Mao, Vagelis Hristidis. Increase Merge Efficiency in LSM Trees
Through Coordinated Partitioning of Sorted Runs. IEEE International Conference
on Big Data in 2023 (short-paper, acceptance rate 38%)
- Xin Zhang, Qizhong Mao, Ahmed Eldawy, Vagelis Hristidis and Yihan Sun.
Bi-directional Log-Structured Merge Tree. 34th International Conference on
Scientific and Statistical Database Management, short paper (SSDBM 2022)
- M.H. Maqbool, Luxun Xu, A.B. Siddique, Niloofar Montazeri, Vagelis
Hristidis, Hassan Foroosh.
Zero-label Anaphora Resolution for Off-Script User Queries in Goal-Oriented
Dialog Systems. IEEE International Conference on Semantic Computing (ICSC) 2022
- Tin Vu, Ahmed Eldawy, Vagelis Hristidis, Vassilis J. Tsotras. Incremental
Partitioning for Efficient Spatial Data Analytics. Proceedings of the VLDB
Endowment (PVLDB) 2022 (full research paper)
- Ahmed Eldawy, Vagelis Hristidis, Saheli Ghosh, Majid Saeedan, Akil Sevim,
A.B. Siddique, Samriddhi Singla, Ganesh Sivaram, Tin Vu and Yaming Zhang. Beast:
Scalable Exploratory Analytics on Spatio-temporal Data. ACM Conference on
Information and Knowledge Management (CIKM) 2021 (full paper, applied track,
acceptance rate 24%)
- Muhammad Shihab Rashid, Fuad Jamour and Vagelis Hristidis. QuAX: Mining
the Web for High-utility FAQ. ACM Conference on Information and Knowledge
Management (CIKM) 2021 (full paper, acceptance rate 21.7%)
- A.B. Siddique, Fuad Jamour, Luxun Xu, and Vagelis Hristidis. Generalized
Zero-shot Intent Detection via Commonsense Knowledge. ACM SIGIR Conference on
Research and Development in Information Retrieval 2021, Short Paper track
(acceptance rate 27.6%)
- A.B. Siddique, Fuad Jamour and Vagelis Hristidis. Linguistically-Enriched
and Context-Aware Zero-shot Slot filling. The Web Conference 2021 (acceptance
rate 20.6%)
- Nhat Le, A.B. Siddique, Fuad Jamour, Samet Oymak and Vagelis Hristidis.
Predictable and Adaptive Goal-oriented Dialog Policy Generation. IEEE
International Conference on Semantic Computing (ICSC) 2021 (best paper
award)
- Umar Farooq, A.B. Siddique, Fuad Jamour, Zhijia Zhao, Vagelis Hristidis. App-Aware Response Synthesis for User Reviews. IEEE International Conference on Big Data in 2020 (full-paper, acceptance rate 15.5%)
- Qizhong Mao, Mohiuddin Abdul Qader, Vagelis Hristidis. Comprehensive Comparison of LSM Architectures for Spatial Data. IEEE International Conference on Big Data in 2020 (short-paper, acceptance rate 32%)
- A.B. Siddique, Samet Oymak, Vagelis Hristidis .Unsupervised Paraphrasing
via Deep Reinforcement Learning. ACM SIGKDD (International Conference on
Knowledge Discovery and Data Mining) 2020 (full paper, acceptance rate 16.8%)
- A.B. Siddique, Ahmed Eldawy, and Vagelis Hristidis. Euler++: An Improved
Selectivity Estimation for Rectangular Spatial Records. IEEE Big Spatial Data
Workshop (co-located with IEEE International Conference on Big Data) 2019
- Qizhong Mao, Steven Jacobs, Waleed Amjad, Vagelis Hristidis, Vassilis J.
Tsotras, and Neal E. Young. Experimental Evaluation of Bounded-Depth LSM Merge
Policies. IEEE International Conference on Big Data in 2019 (acceptance rate
19%)
- Luxun Xu, Vagelis Hristidis and Nhat Le. Clustering-based Summarization of
Transactional Chatbot Logs. IEEE Humanized Computing and Communication. Laguna
Hills, CA, 2019
- Nhat Le, Neal Young and Vagelis Hristidis. Unsupervised Ontology- and
Sentiment-aware Review Summarization, International Conference on Web Information Systems
Engineering (WISE), 2019 (acceptance rate 24.6%)
- Muhammad Abu Bakar Siddique, Ahmed Eldawy, Vagelis Hristidis. Comparing
Synopsis Techniques for Approximate Spatial Data Analysis. Proceedings of the
VLDB Endowment (PVLDB), Volume 12 Issue 11, July 2019, Pages 1583-1596 (full research paper)
- Moloud Shahbazi, Renee Garett, Vagelis Hristidis, Sean Young. Using Social
Media to Explore Mental Health-Related Behaviors and Discussions among Young
Adults. Hawaii International Conference on System Sciences 2019, 7 pages,
http://hdl.handle.net/10125/59871
- Nhat Le, Ryan Rivas, James Flegal and Vagelis Hristidis. Targeted
Solicitation of Product Reviews. 13th IEEE International Conference on
Semantic Computing, pp. 308-315, January 2019 (acceptance rate 24.8%)
- Mohiuddin Abdul Qader, Shiwen Cheng, Vagelis Hristidis. A Comparative Study
of Secondary Indexing Techniques in LSM-based NoSQL Databases.
ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 551-566 ,
2018
- Mohiuddin Abdul Qader and Vagelis Hristidis. DualDB: An Efficient LSM-based
Publish-Subscribe Storage System. International Conference on Scientific and
Statistical Database Management (SSDBM) 2017
- Pritom Ahmed, Mahbub Hasan, Abhijith Kashyap, Vagelis Hristidis and Vassilis J. Tsotras. Efficient Computation of Top-k Frequent Terms over Spatial-Temporal Ranges.
ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 1227-1241, 2017
- Shiwen Cheng, Marek Chorbak, Vagelis Hristidis. Slowing the Firehose:
Multi-Dimensional Diversity on Social Post Streams.
International Conference on Extending Database Technology (EDBT),
pages 17-28,
2016 (acceptance rate 27%)
- Moloud Shahbazi, Joseph R. Barr, Vagelis Hristidis and Nani Narayanan
Srinivasan. Estimation of the Investability of Real Estate Properties
Through Text Analysis. IEEE International Conference on Semantic Computing
(ICSC) 2016 (full paper, acceptance rate 30%)
- Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang, Khaled Shaban, and Gautam Das. Query Hidden Attributes in Social Networks. Third International Workshop on Intelligent Data Processing (IDP), collocated with ICDM 2014
- Anastasios Zouzias, Vagelis Hristidis, Michail Vlachos. Templated Search
over Relational Databases. ACM Conference on Information and Knowledge
Management (CIKM) 2014 (full paper, acceptance rate 20%)
- Mahbub Hasan, Abhijith Kashyap, Vagelis Hristidis, Vassilis Tsotras. User
Effort Minimization Through Adaptive Diversification. ACM SIGKDD (International
Conference on Knowledge Discovery and Data Mining) 2014 (full paper, acceptance
rate 14.6%)
- Saravanan Thirumuruganathan, Nan Zhang, Vagelis Hristidis, and Gautam Das, Aggregate Estimation Over a Microblog Platform,
ACM SIGMOD International Conference on Management of Data, 2014
(full research paper)
- Eduardo Ruiz, Vagelis Hristidis, Panos Ipeirotis. Efficient Filtering
on Hidden Document Streams. AAAI Conference on Weblogs and Social Media
(ICWSM) 2014 full paper and long presentation, acceptance rate: 23%, long
presentation acceptance rate: 8.8%)
- Shiwen Cheng, Anastasios Arvanitis, Marek Chrobak, Vagelis Hristidis. Multi-Query Diversification in Microblogging Posts.
International Conference on Extending Database Technology (EDBT)
2014 (full paper, acceptance rate: 20%)
- Anastasios Arvanitis, Matthew Wiley, Vagelis Hristidis Efficient Concept-based Document Ranking.
International Conference on Extending Database Technology (EDBT) 2014 (full paper, acceptance rate: 20%)
- X. Luo, W. Najjar, and V. Hristidis. Efficient Near-Duplicate Document Detection using FPGAs.
Workshop on Benchmarks, Performance Optimization, and Emerging hardware of Big Data Systems and Applications (BPOE),
in conjunction with IEEE International Conference on Big Data, 2013
- Shiwen Cheng, Vagelis Hristidis, Michael Weiner. Leveraging User Query
Sessions to Improve Searching of Medical Literature. American Medical
Informatics Association (AMIA) Annual Symposium 2013
- Shiwen Cheng, Anastasios Arvanitis, Vagelis Hristidis. How Fresh Do You
Want Your Search Results? ACM Conference on Information and Knowledge
Management (CIKM) 2013 (full paper, acceptance rate 16.9%)
- Mahashweta Das, Habibur Rahman, Gautam Das, Vagelis Hristidis. Generating
Informative Snippet to Maximize Item Visibility. ACM Conference on
Information and Knowledge Management (CIKM) 2013 (short paper, acceptance
rate 29.4%)
- Eduardo Ruiz, Vagelis Hristidis, Carlos Castillo and Aristides Gionis.
Measuring and Summarizing Movement in Microblog Postings. AAAI Conference on
Weblogs and Social Media (ICWSM 2013) (acceptance rate 20%)
- Michael Butkiewicz, Zhe Wu, Shunan Li, Pavithra Murali, Vagelis Hristidis,
Harsha V. Madhyastha, Vyas Sekar. Enabling the Transition to the Mobile Web with
WebSieve. ACM HotMobile 2013 (acceptance rate 31%)
- Shiwen Cheng, Arash Termehchy, Vagelis Hristidis. Predicting the
Effectiveness of Keyword Queries on Databases. ACM Conference on Information and
Knowledge Management (CIKM) 2012 (full paper, acceptance rate 13.4%)
- Abhijith Kashyap, Vagelis Hristidis. Comprehension-Based Result
Snippets. ACM Conference on Information and Knowledge Management (CIKM) 2012
(full paper, acceptance rate 13.4%)
- Abhijith Kashyap, Reza Amini, Vagelis Hristidis. SonetRank: Leveraging
Social Networks to Personalize Search. ACM Conference on Information and
Knowledge Management (CIKM) 2012 (short paper, acceptance rate 27.7%)
- Abhijith Kashyap, Vagelis Hristidis. LogRank: Summarizing Social Activity
Logs. 15th SIGMOD International Workshop on the Web and Databases (WebDB) 2012
- Eduardo J. Ruiz, Vagelis Hristidis, Carlos Castillo, Aristides Gionis, Alejandro Jaimes. Correlating Financial Time Series with Micro-Blogging Activity.
ACM International Conference on Web Search and Data Mining (WSDM) 2012, full paper with presentation (acceptance rate 8%, acceptance rate regardless presentation was 20.7%,
wide media publicity from NY Times, Forbes, Yahoo!, Washington Post)
- Mahashweta Das, Gautam Das, Vagelis Hristidis. Leveraging Collaborative
Tagging for Web Item Design. ACM SIGKDD (International Conference on Knowledge
Discovery and Data Mining) 2011 (full paper, acceptance rate 7.8%)
- Vagelis Hristidis, Louiqa Raschid, Yao Wu. Scalable Link-based
Personalization for Ranking in Entity-Relationship Graphs. 14th SIGMOD
International Workshop on the Web and Databases (WebDB) 2011 (acceptance rate
27.9%)
- Abhijith Kashyap, Vagelis Hristidis, Michalis Petropoulos. FACeTOR:
Cost-Driven Exploration of Faceted Query Results. ACM Conference on Information
and Knowledge Management (CIKM) 2010 (full paper, acceptance rate 13.4%) [Best
Interdisciplinary Paper Award]
- Vagelis Hristidis, Eduardo Ruiz, Alejandro Hernández, Fernando Farfán,
Ramakrishna Varadarajan. PatentsSearcher: A Novel Portal to Search and Explore
Patents. 3rd International Workshop on Patent Information Retrieval, at ACM CIKM
2010
- Louiqa Raschid, Vagelis Hristidis, John Edmond, Hassan Sayyadi. Challenges in
Personalized Authority Flow Based Ranking of Social Media. ACM Conference on
Information and Knowledge Management (CIKM) 2010 (short paper, acceptance rate
17.9%)
- Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Vagelis Hristidis, Nick
Koudas. An Access Cost-Aware Approach for Object Retrieval over Multiple
Sources. Proceedings of the VLDB Endowment (PVLDB) and VLDB Conference 2010.
- Li Zheng, Chao Shen, Liang Tang, Tao Li, Steve Luis, Shu-Ching Chen, Vagelis
Hristidis. Using Data Mining Techniques to Address Critical Information Exchange
Needs in Disaster Affected Public-Private Networks. ACM SIGKDD Conference
(Industrial/Government Track) 2010 (full presentation, acceptance rate 11%)
- Vagelis Hristidis, Yuheng Hu, Panagiotis G. Ipeirotis. Ranked Queries over
Sources with Boolean Query Interfaces without Ranking Support. IEEE
International Conference on Data Engineering (ICDE) 2010,
short paper (acceptance rate 20%)
- Vagelis Hristidis, Eduardo Ruiz. CADS: A Collaborative Adaptive Data Sharing
Platform. VLDB Workshop on Personalized Access, Profile Management, and Context
Awareness in Databases (PersDB) 2009.
- Ariel Cary, Zhengguo Sun, Vagelis Hristidis, Naphtali Rishe. Experiences on
Processing Spatial Data with MapReduce. 21st International Conference on
Scientific and Statistical Database Management (SSDBM), 2009
- Ramakrishna Varadarajan, Vagelis Hristidis, Louiqa Raschid, Maria-Esther
Vidal, Luis lbanez and Hector Rodriguez-Drumond: Flexible and Efficient Querying
and Ranking on Hyperlinked Data Sources, International Conference on
Extending Database Technology (EDBT) 2009 (full paper, acceptance rate
33%)
- Medha Bhadkamkar, Jorge Guerra, Luis Useche, Sam Burnett, Jason Liptak, Raju
Rangaswami, and Vagelis Hristidis. BORG: Block-reORGanization for
Self-Optimizing Storage Systems. USENIX File and Storage Technologies (FAST) 2009
(acceptance rate 22%)
- Fernando Farfán, Vagelis Hristidis, Anand Ranganathan, and Michael Weiner.
XOntoRank: Ontology-Aware Search of Electronic Medical Records. IEEE
International Conference on Data Engineering (ICDE) 2009 (long paper, acceptance
rate 17%)
- Abhijith Kashyap, Vagelis Hristidis, Michalis Petropoulos, and Sotiria
Tavoulari. BioNav: Effective Navigation on Query Results of Biomedical
Databases. IEEE International Conference on Data Engineering, (ICDE) 2009 (short
paper, acceptance rate 27%)
- K. Saleem, S. Luis, Y. Deng, S-C. Chen, V. Hristidis, T. Li. Towards a
Business Continuity Information Network for Rapid Disaster Recovery. 9th Annual
International Conference on Digital Government Research 2008
- Muhammed Miah, Gautam Das, Vagelis Hristidis, Heikki Mannila. Standing Out
in a Crowd: Selecting Attributes for Maximum Visibility. IEEE International
Conference on Data Engineering (ICDE) 2008 (full
paper, short presentation, acceptance rate 19%)
- Ian De Felipe, Vagelis Hristidis, Naphtali Rishe. Keyword Search on Spatial
Databases. IEEE International Conference on Data Engineering (ICDE) 2008 (full paper, long presentation, acceptance rate 12%)
- Ramakrishna Varadarajan, Vagelis Hristidis, Louiqa Raschid. Explaining and
Reformulating Authority Flow Queries. IEEE International Conference on Data
Engineering (ICDE) 2008 (full paper, short
presentation, acceptance rate 19%)
- Vagelis Hristidis, Fernando Farfán, Redmond P. Burke, Anthony F. Rossi,
Jeffrey A. White. Information Discovery on Electronic Medical Records. National
Science Foundation Symposium on Next Generation of Data Mining and Cyber-Enabled
Discovery for Innovation (NGDM) 2007 (acceptance rate 28%)
- Fernando Farfán, Vagelis Hristidis, Raju Rangaswami. Beyond Lazy XML
Parsing. 18th International Conference on Database and Expert Systems
Applications (DEXA) 2007 (acceptance rate 32%)
- Vagelis Hristidis, Peter J. Clarke, Nagarajan Prabakar, Yi Deng, Jeffrey A.
White, Redmond P. Burke. A Flexible Approach for Electronic Medical Records
Exchange. International Workshop on Health Information and Knowledge Management
(HIKM), in conjunction with ACM CIKM, 2006
- Ramakrishna Varadarajan, Vagelis Hristidis: A System for Query-Specific
Document Summarization. ACM Conference on
Information and Knowledge Management (CIKM) 2006 (acceptance rate 15%)
- Yi Deng, S. Masoud Sadjadi, Peter Clarke, Chi Zhang, Vagelis Hristidis, Raju
Rangaswami, Nagarajan Prabakar. A Communication Virtual Machine. International
Computer Software and Applications Conference (COMPSAC) 2006 (acceptance rate
31%)
- Gautam Das, Vagelis Hristidis, Nishant Kapoor, S. Sudarshan. Ordering the
Attributes of Query Results. ACM SIGMOD International Conference on Management of Data, 2006 (acceptance rate 13%)
- Peter J. Clarke, Vagelis Hristidis, Yingbo Wang, Nagarajan Prabakar and Yi
Deng. A Declarative Approach for Specifying User-Centric Communication.
Symposium on Collaborative Technologies and Systems (CTS), 2006
- Ken Pu, Vagelis Hristidis, Nick Koudas. A Syntactic Rule Based Approach to
Web Service Composition. IEEE International Conference on Data Engineering
(ICDE) 2006 (acceptance rate 19%)
- Andrey Balmin, Vagelis Hristidis, Yannis Papakonstantinou: ObjectRank:
Authority-Based Keyword Search in Databases. International Conference on
Very Large Databases (VLDB) 2004 (acceptance rate 16%)
- Surajit Chaudhuri, Gautam Das, Vagelis Hristidis, Gerhard Weikum:
Probabilistic Ranking of Database Query Results. International Conference on
Very Large Databases (VLDB) 2004 (acceptance rate 16%)
- Vagelis Hristidis, Luis Gravano, Yannis Papakonstantinou: Efficient IR-Style
Keyword Search over Relational Databases. International Conference on Very
Large Databases (VLDB) 2003 (acceptance rate 14%)
- Vagelis Hristidis, Yannis Papakonstantinou, Andrey Balmin: Keyword Proximity
Search on XML Graphs (extended version). IEEE International Conference on Data
Engineering (ICDE) 2003 (acceptance rate 13%)
- Vagelis Hristidis, Yannis Papakonstantinou: DISCOVER: Keyword Search in
Relational Databases. International Conference on Very Large Databases (VLDB)2002 (acceptance rate 16%)
- Vagelis Hristidis, Michalis Petropoulos: Semantic Caching of XML Databases.
SIGMOD International Workshop on the Web and Databases (WebDB) 2002
- Vagelis Hristidis, Nick Koudas, Yannis Papakonstantinou: PREFER: A System
for the Efficient Execution of Multi-parametric Ranked Queries. ACM SIGMOD International Conference on Management of Data, 2001
(acceptance rate 15%)
Journals
-
Nicole Ruggiano, Ellen Leslie Brown, Peter J Clarke, Vagelis Hristidis, Lisa Roberts, Carmen Victoria Framil Suarez,
Sai Chaithra, Shannon Hurley, Chrystine Kopcsik, Jane Daquin, Hamilton Chevez, Raymond Chang-Lau, Marc Agronin, David S Geldmacher.
Development of an Evidence-Based Information Technology Program With Chatbot to Support Caregiving and Clinical Care for People With Dementia: The CareHeroes Pilot. JMIR Aging 2024
-
Deiner MS, Deiner RY, Fathy C, Deiner NA, Hristidis V, McLeod SD, Doan T, Seitzman GD, Lietman TM, Porco TC. Use of large language models and synthetic social media to optimize and validate assessment of epidemiological characteristics in social media posts about outbreaks: Infodemiology Study. Journal of Medical Internet Research (JMIR) 2024
-
Christina Burns, Angela Bakaj, Amonda Berishaj, Vagelis Hristidis, Pamela Deak, Ozlem Equils.
Use of Generative AI for Improving Health Literacy in Reproductive Health: Case Study. JMIR Formative Research 2024
-
Jannat Ara Meem, Muhammad Shihab Rashid, Vagelis Hristidis.
Modeling the Impact of Out-of-schema Questions in Task-Oriented Dialog Systems. Journal of Data Mining and Knowledge Discovery, 2024
-
Lawson McLean, A., Wu, Y., Lawson McLean, A.C., Vagelis Hristidis. Large language models as decision aids in neuro-oncology: a review of shared decision-making applications. J Cancer Res Clin Oncol 150, 139 (2024). https://doi.org/10.1007/s00432-024-05673-x
- Deiner M, Deiner NA, Hristidis V, McLeod SD, Doan T, Lietman TM, Porco TC. Use of large language models to assess likelihood of epidemics from content of Tweets: Infodemiology Study. Journal of Medical Internet Research (JMIR) 2024
- Vagelis Hristidis, Nicole Ruggiano, Ellen L Brown, Sai Rithesh Reddy Ganta,
Selena Stewart. ChatGPT vs. Google for Queries Related to Dementia and Other
Cognitive Decline: Results Comparison. Journal of Medical Internet Research
(JMIR), 2023
- Qizhong Mao, Mohiuddin Abdul Qader, Vagelis Hristidis. Comparison of LSM
Indexing Techniques for Storing Spatial Data. Springer Journal of Big Data, 2023
- Pritom Ahmed, Ahmed Eldawy, Vagelis Hristidis, Vassilis J Tsotras. Reverse
Spatial Top-k Keyword Queries. VLDB Journal 2022
- Ryan Rivas, Sudipta Paul, Vagelis Hristidis, Evangelos E. Papalexakis, Amit
K. Roy-Chowdhury. Task-Agnostic Representation Learning of Multimodal Twitter
Data for Downstream Applications. Journal of Big Data volume 9, Article number: 18 (2022)
(impact factor 10.835)
- Nhat Le, Muhammad Abu Bakar Siddique, Fuad Jamour, Samet Oymak, Vagelis
Hristidis. Generating Predictable and Adaptive Dialog Policies in Single- and
Multi-domain Goal-oriented Dialog Systems. International Journal of Semantic
Computing (IJSC). Vol. 15, No. 04, pp. 419-439 (2021)
- Nhat Le, Abdulaziz Almaslukh, Moloud Shahbazi, Vagelis Hristidis. Query by
Documents on Top of a Search Interface. Elsevier Information Systems Journal, Volume 101, November 2021, 2021
(Impact Factor: 2.466)
- Ruggiano N, Brown EL, Roberts L, Framil Suarez CV, Luo Y, Hao Z,
Hristidis V. Chatbots to Support People with Dementia and Their Caregivers:
A Systematic Review of Functions and Quality. Journal of Medical Internet
Research (JMIR), Vol 23, No 6 (2021): June 2021
- Ryan Rivas, Vagelis Hristidis. Effective Social Post Classifiers on Top of
Search Interfaces. Data Mining and Knowledge Discovery Journal, 35(3), pp 1809-1829, 2021
- Qizhong Mao, Steven Jacobs, Waleed Amjad, Vagelis Hristidis, Vassilis J.
Tsotras, Neal E. Young. Comparison and Evaluation of State-of-the-Art LSM Merge
Policies. The International Journal on Very Large Data Bases (VLDB Journal,
Five year impact factor 3.508), 30, pages 361-378 (2021)
- Robert C. Wright, Doerte U. Junghaenel, Ryan Rivas, Vagelis Hristidis,
Megan L. Robbins. A New Approach to Capturing Pain Disclosure in Daily Life
In-Person and Online. Journal of Health Psychology, Vol 26, Issue 13, 2021
(impact factor 3.789)
- Nhat Le, Matthew Wiley, Antonio Loza, Vagelis Hristidis, Robert El-Kareh.
Prediction of Medical Concepts in Electronic Health Records: Similar Patient
Analysis. JMIR Medical Informatics (JMI), 2020;8(7), doi: 10.2196/16008 (impact factor 3.23)
- Ryan Rivas, Moloud Shahbazi, Renee Garett, Vagelis Hristidis, Sean
Young. Mental Health-Related Behaviors and Discussions Among Young Adults:
Analysis and Classification. Journal of Medical Internet Research (JMIR),
2020;22(5), doi: 10.2196/17224 (impact factor 7.08)
- Ryan Rivas, Shouq Sadah, Yuhang Guo, and Vagelis Hristidis.
Classification of Health-Related Social Media Posts: Analysis and
Evaluation. JMIR Public Health and Surveillance, 2020;6(2), doi:
10.2196/14952 (impact factor 14.56)
- My Hua, Shouq Sadah, Vagelis Hristidis,Prue Talbot. Health Effects
Associated with Electronic Cigarette Use: Automated Mining of Online Forums.
Journal of Medical Internet Research, 2020;22(1) (impact factor 4.9)
- Nhat Le, Ryan Rivas, James Flegal, Vagelis Hristidis. Decrease Product
Rating Uncertainty Through Focused Reviews Solicitation. International Journal
of Semantic Computing (IJSC) 13(4), 25 pages, December 2019
- Ryan Rivas, Dinesh Patil, Vagelis Hristidis, Joseph R. Barr, Narayanan
Srinivasan. The Impact of Colleges and Hospitals to Local Real Estate Markets.
Springer Journal of Big Data (CiteScore 2017 = 8.51,
https://www.scopus.com/sourceid/21100791292), 24 pages, January 2019
- Nicole Ruggiano, Ellen Brown, S. Shaw, D. Geldmacher, Peter Clarke, Vagelis
Hristidis, J. Bertram. The potential of information technology to navigate
caregiving systems: Perspectives from dementia caregivers. Journal of
Gerontological Social Work, Volume 62, Issue 4, 2019 (runner-up for 2020 Rose Dobrof Award)
- Ryan Rivas, Niloofar Montazeri, Nhat Le, Vagelis Hristidis. Automatic
Classification of Online Doctor Reviews, Journal of Medical Internet Research,
2018
- Mohiuddin Abdul Qader, Vagelis Hristidis. High-throughput
Publish/Subscribe on top of LSM-based Storage. Distributed and Parallel
Databases (DAPD) Journal, March 2019, Volume 37, Issue 1, pp 101-132
- Louiqa Raschid, Hassan Sayyadi, Vagelis Hristidis. Learning to Rank in
Entity Relationship Graphs. INFORMS Journal on Computing, June 2019
- Ellen Brown, Nicole Ruggiano, Juanjuan Li, Peter Clarke, Emma Sophia Kay,
and Vagelis Hristidis. Smartphone-based Health Technologies for Dementia Care:
Opportunities, Challenges, and Current Practices. Journal of Applied
Gerontology, 2017
- Prajna Shetty, Ryan Rivas and Vagelis Hristidis. Correlating Health
Insurance Plans' Ratings to Their Providers' Attributes. Journal of Medical
Internet Research 2016 (impact factor 5.175)
- Shouq A Sadah, Moloud Shahbazi, Matthew T Wiley, Vagelis Hristidis.
Demographic-Based Content Analysis of Online Health-Related Social Media.
Journal of Medical Internet Research, 2016 (impact factor 5.175)
- Matthew T. Wiley, Ryan L. Rivas and Vagelis Hristidis. Provider attributes
correlation analysis to their referral frequency and awards. BMC Health Services
Research, volume 16, number 1, pages 1-13, 2016
- Ellen Leslie Brown, Nicole Ruggiano, Timothy F. Page, Lisa Roberts, Vagelis Hristidis, Karen L. Whiteman, Joana Castro. CareHeroes Web and Android Apps for Dementia Caregivers: A Feasibility Study. Research in Gerontological Nursing, July/August 2016 - Volume 9, Issue 4: 193-203, 2016
- Shouq A Sadah, Moloud Shahbazi, Matthew T Wiley, Vagelis Hristidis. A
Study of the Demographics of Web-Based Health-Related Social Media Users. Journal of Medical Internet Research, Vol
17, No 8, 2015 (impact factor 5.175)
- Matthew Wiley, Canghong Jin, Vagelis Hristidis, Kevin M Esterling.
Pharmaceutical Drugs Chatter on Online Social Networks. Elsevier Journal of
Biomedical Informatics, Volume 49, Pages 245-254, June 2014 (featured in news
media like Press-News, Medical Express, Redorbit, AccessRX)
- Eduardo J. Ruiz, Vagelis Hristidis, Panagiotis G. Ipeirotis. Facilitating
Document Annotation using Content and Querying Value. IEEE Transactions on
Knowledge and Data Engineering (TKDE) Volume 26, Issue 2, pages 336-349, 2014
- Vagelis Hristidis, Yao Wu, Louiqa Raschid. Efficient Ranking on Entity
Graphs with Personalized Relationships. IEEE Transactions on Knowledge and
Data Engineering (TKDE), vol. 26 no. 4, pages 850-863, April 2014
- Shiwen Cheng, Arash Termehchy, Vagelis Hristidis. Efficient Prediction
of Difficult Keyword Queries over Databases. IEEE Transactions on Knowledge
and Data Engineering (TKDE), vol. 26 no. 6, June 2014
- Ramakrishna Varadarajan, Fernando Farfan, Vagelis Hristidis. Comparing
Top-k XML Lists. Elsevier Information Systems, 2013
- Nicole Ruggiano, Ellen Brown, Vagelis Hristidis, Timothy F. Page.
Adding home health care to the discussion on health information technology
policy. Home Health Care Services Quarterly, 2013
- Vagelis Hristidis. Challenges and Communities of Medical Informatics
Research. ACM SIGMOD Record, Dec. 2012
- Timothy F. Page, Ellen L. Brown, Nicole Ruggiano, Lisa Roberts, Vagelis
Hristidis. Improving Care Delivery Using Health Information Technology in
the Home Care Setting: Development of the Home Continuation Care Dashboard.
Annals of Long-Term Care: Clinical Care and Aging. 2012;20(12):26-30
- N. Ruggiano, N. Shtompel, V. Hristidis, L. Roberts, J. Grochowski, E. L. Brown. Need and Potential Use of Information Technology for Case Manager-Physician
Communication in Home Care. Home Healthcare Management and Practice. 2012
- Abhijith Kashyap, Vagelis Hristidis, Michalis Petropoulos, Sotiria Tavoulari: Effective Navigation of Query Results Based on Concept Hierarchies.
IEEE Trans. Knowl. Data Eng.
(TKDE) 23(4): 540-553 (2011)
- Vagelis Hristidis, Yuheng Hu, Panagiotis G. Ipeirotis: Relevance-Based Retrieval on Hidden-Web Text Databases without Ranking Support.
IEEE Trans. Knowl. Data Eng.
(TKDE) 23(10): 1555-1568 (2011)
- Vagelis Hristidis, Ramakrishna Varadarajan, Paul Biondich, Michael
Weiner: Information Discovery on Electronic Medical Records Using
Authority-Flow Techniques, In BMC Medical Informatics and Decision Making 2010, 10:64,
pages 1-11
- Vagelis Hristidis, Shu-Ching Chen, Tao Li, Steven Luis, Yi Deng: Survey of data management and analysis in disaster situations.
Journal of Systems and Software 83(10): 1701-1714 (2010)
- Vagelis Hristidis, Yannis Papakonstantinou, Ramakrishna Varadarajan: Using Proximity Search to Estimate Authority Flow.
IEEE Trans. Knowl. Data Eng. (TKDE) 22(12):1803-1808 (2010)
- Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu: Information discovery across multiple streams.
Elsevier Information Sciences 179(19):3268-3285 (2009)
- Muhammed Miah, Gautam Das, Vagelis Hristidis, Heikki Mannila: Determining Attributes to Maximize Visibility of Objects. IEEE Trans. Knowl. Data Eng. (TKDE) 21(7):959-973 (2009)
- Medha Bhadkamkar, Fernando Farfán, Vagelis Hristidis, and Raju Rangaswami.
Storing Semi-structured data on disk drives. ACM Transactions on Storage, Vol.
5, Issue # 2, May, 2009 .
- Fernando Farfán, Vagelis Hristidis, Raju Rangaswami. 2LP: A Double-Lazy XML
Parser. Elsevier Information Systems 34 (2009), pp. 145-163
- Man Lung Yiu, Nikos Mamoulis, Vagelis Hristidis: Extracting k most important groups from data efficiently.
Data Knowl. Eng. 66(2): 289-310 (2008).
- Yi Deng, Seyed Masoud Sadjadi, Peter J. Clarke, Vagelis Hristidis, Raju Rangaswami, Yingbo Wang: CVM - A communication virtual machine.
Journal of Systems and Software 81(10): 1640-1662 (2008)
- Ramakrishna Varadarajan, Vagelis Hristidis, Tao Li: Beyond Single-Page Web Search Results.
IEEE Trans. Knowl. Data Eng. (TKDE) 20(3): 411-424 (2008)
- Vagelis Hristidis, Heasoo Hwang, Yannis Papakonstantinou. Authority-Based
Keyword Search in Databases. ACM Trans. Database Syst (TODS) 33(1), pages 1-40, 2008
- Yufei Tao, Vagelis Hristidis, Dimitris Papadias, Yannis Papakonstantinou.
Branch-and-Bound Processing of Ranked Queries. Elsevier Information Systems
Volume 32, Issue 3, May 2007, Pages 424-445
- Surajit Chaudhuri, Gautam Das, Vagelis Hristidis, Gerhard Weikum:
Probabilistic Information Retrieval Approach for Ranking of Database Query
Results. ACM Trans. Database Syst (TODS) 31, 3 (Sep. 2006), 1134-1168
- Vagelis Hristidis, Nick Koudas, Yannis Papakonstantinou, Divesh Srivastava.
Keyword Proximity Search in XML Trees. IEEE Trans. Knowl. Data Eng. (TKDE) , April 2006 (Vol. 18, No. 4)
pp. 525-539
- Vagelis Hristidis, Yannis Papakonstantinou: Algorithms and Applications for
answering Ranked Queries using Ranked Views. VLDB Journal, Volume 13 , Issue 1,
pages:49-70,
January 2004
Book Chapters
- Vagelis Hristidis. Ranking Views. Encyclopedia of Databases, Springer, 2017
- Vagelis Hristidis, Fernando Farfán, Redmond P. Burke, Anthony F. Rossi,
Jeffrey A. White. Challenges for Information Discovery on Electronic Medical
Records. Book details: Next Generation of Data Mining. CRC - Taylor & Francis.
Editors: Hillol Kargupta, Jiawei Han, Philip Yu, Rajeev Motwani, Vipin Kumar.
2008
Demos/Posters
- Ruggiano, N., Brown, E. L., Clarke, P., Roberts, L., Framil, C. V., Chevez,
H., Hurley, S., Kopcsik, C., Allala, S. C., Hristidis, V., Agronin, M., &
Geldmacher, D. S. (July 2023). Applying Implementation Frameworks to Health IT
Development in Dementia Care: Lessons from the CareHeroes Project. Poster
presented at the Alzheimer’s Association International Conference, Amsterdam,
The Netherlands.
- Steven Jacobs, Md Yusuf Sarwar Uddin, Michael Carey, Vagelis Hristidis,
Vassilis J. Tsotras, N. Venkatasubramanian, Yao Wu, Syed Safir, Purvi Kaul,
Xikui Wang, Mohiuddin Abdul Qader, Yawei Li. A BAD Demonstration: Towards Big
Active Data. Demo at VLDB 2017
- Shouq Sadah, Moloud Shahbazi, Vagelis Hristidis. Querying Documents
Annotated by Interconnected Entities. AAAI Conference on Weblogs and Social
Media (ICWSM) 2017 (poster, 4 pages)
- Nhat Le, Vagelis Hristidis and Neal Young. Ontology- and Sentiment-aware
Review Summarization. IEEE International Conference on Data Engineering (ICDE)
2017, poster paper (4 pages)
- Moloud Shahbazi, Matthew Wiley and Vagelis Hristidis. IRanker:
Query-Specific Ranking of Reviewed Items. IEEE International Conference on
Data Engineering (ICDE) 2017, poster paper (4 pages)
- Nicole Ruggiano, Ellen L Brown, Lisa Roberts, Vagelis Hristidis, and Peter
Clarke. Expanding Health Information Technology to Support Hispanic Caregivers And Improve Dementia Care. Gerontological
Society of America (GSA), The Gerontologist, Volume 56, Issue Suppl_3, 1
November 2016
- Nicole Ruggiano, Ellen L Brown, Lisa Roberts, Vagelis Hristidis, and Peter
Clarke. Health Information Technology for Rural Caregivers: Intersecting
Science, Policy and Practice . 21st IAGG World Congress of Gerontology and
Geriatrics, San Francisco, 2017
- Shiwen Cheng, James Fang, Vagelis Hristidis, Harsha V. Madhyastha, Niluthpol
Chowdhury Mithun, Dorian Perkins, Amit K. Roy-Chowdhury, Moloud Shahbazi, and
Vassilis J. Tsotras. OSNI: Searching for Needles in a Haystack of Social Network
Data. Demo at International Conference on Extending Database Technology (EDBT)
2016
- Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang and
Gautam Das. Answering Complex Queries in an Online Community Network. Poster
Paper, AAAI Conference on Weblogs and Social Media (ICWSM) 2015 (acceptance rate
25%)
- Hassan Sayyadi, John Edmonds, Vagelis Hristidis, Louiqa Raschid. Challenges
in Personalized Authority Flow Based Ranking of Social Media. Poster Paper, 4th
Int'l AAAI Conference on Weblogs and Social Media (ICWSM), 2010.
- Abhijith Kashyap, Vagelis Hristidis, Michalis Petropoulos and Sotiria
Tavoulari. Exploring Biomedical Databases with BioNav. Demo Paper, ACM SIGMOD
Conference 2009 (acceptance rate 37%)
- Fernando Farfán, Vagelis Hristidis, Anand Ranganathan, Redmond P. Burke.
Ontology-Aware Search on XML-based Electronic Medical Records. Poster Paper,
IEEE International Conference on Data Engineering (ICDE) 2008 (acceptance rate 31%)
- Vagelis Hristidis, Oscar Valdivia, Michalis Vlachos, Philip Yu. A System for
Keyword Search on Textual Streams. Short Paper, SIAM Conference on Data Mining
(SDM) 2007 (acceptance rate 25%)
- Nishant Kapoor, Gautam Das, Vagelis Hristidis, S. Sudarshan, Gerhard Weikum.
STAR: A System for Tuple and Attribute Ranking of Query Answers. Demo paper,
International Conference on Data Engineering (ICDE) 2007
- Vagelis Hristidis, Oscar Valdivia, Michalis Vlachos, Philip S. Yu:
Continuous Keyword Search on Multiple Text Streams. Poster paper, ACM Conference on Information
and Knowledge Management (CIKM) 2006
(acceptance rate 25%)
- Ramakrishna Varadarajan, Vagelis Hristidis, Tao Li: Searching the Web Using
Composed Pages. Poster paper, ACM SIGIR 2006
- Heasoo Hwang, Vagelis Hristidis, Yannis Papakonstantinou. ObjectRank: A
System for Authority-based Search on Databases. Demo paper, ACM SIGMOD 2006
- Medha Bhadkamkar, Fernando Farfán, Vagelis Hristidis, and Raju Rangaswami.
Storing Trees on Disk Drives. Proceedings of the File and Storage Technologies WiP, 2005.
- Ramakrishna Varadarajan, Vagelis Hristidis: Structure-Based Query-Specific
Document Summarization. Poster paper, ACM Conference on Information
and Knowledge Management (CIKM) 2005
- Andrey Balmin, Vagelis Hristidis, Nick Koudas, Yannis Papakonstantinou,
Divesh Srivastava, Tianqiu Wang: A System for Keyword Search on XML Databases.
Demo paper, International Conference on Very Large Databases (VLDB) 2003
Tutorials
- Chatbot Technologies and Challenges, tutorial at IEEE International
Conference on Artificial Intelligence for Industries (ai4i), Laguna Hills,
CA, September 2018
Technical Reports
- Vagelis Hristidis, Yannis Papakonstantinou: Merging results from
Multi-parametric Ranked Queries. UCSD Technical Report, 2001
PATENTS/APPLICATIONS
- Searching digital information and databases, with Andrey Balmin and Yannis
Papakonstantinou, US Patent No 8,862,594, filed Feb 19, 2010, issued Oct 14, 2014
- Ranking database query results using probabilistic models from information retrieval, with Surajit Chaudhuri, Gautam Das and Gerhard Weikum,
US Patent No 7,383,262, filed June 29, 2004, issued June 3, 2008
- Searching digital information and databases, with Andrey Balmin and Yannis
Papakonstantinou, US Patent No 7,698,267, filed August 29, 2005, issued April 13, 2010
- Communication Virtual Machine (CVM), with Yi Deng, Steven Luis, Masoud
Sadjadi, Peter J Clarke, Raju Rangaswami. US Patent No 8,578,325, filed 10/2007,
issued 11/2013
- Adding Context to XML Keyword Searches (U.S. Patent Application No.
10/826,638), with Nick Koudas and Divesh Srivastava, AT&T Research, filed 2004
PROFESSIONAL ACTIVITIES
- Area Chair: ACM Special Interest Group on Knowledge
Discovery and Data Mining (SIGKDD) 2025
- Tutorials Chair: IEEE International Conference on Data Science and Advanced Analytics (DSAA) 2024
- Area Chair: ACM Special Interest Group on Knowledge
Discovery and Data Mining (SIGKDD) 2024
- Local Arrangements Co-Chair, IEEE International Conference on Data
Engineering (ICDE) 2023
- Senior Program Committee: ACM Special Interest Group on Knowledge
Discovery and Data Mining (SIGKDD) 2023
- Senior Program Committee: ACM Special Interest Group on Knowledge
Discovery and Data Mining (SIGKDD) 2022
- Senior Program Committee: ACM Special Interest Group on Knowledge
Discovery and Data Mining (SIGKDD) 2021
- Senior Program Committee: ACM Special Interest Group on Knowledge
Discovery and Data Mining (SIGKDD) 2020
- PC Co-Chair, IEEE International conference on Humanized Computing and Communication (HCC 2019),
Laguna Hills, California
- Co-Chair, Tutorials at Very Large Databases Conference (VLDB) 2017
- Co-Chair, First Streaming Big Data and Publish/Subscribe Systems
(Big-PubSub) Workshop 2016, in Conjunction with ACM International
Conference on Distributed and Event-based Systems (DEBS)
- Steering Committee, Ranking in Databases Workshop (DBRank) 2008-present
- "Text, Graphs, and Search" Track Chair for IEEE International Conference on Data Engineering (ICDE) 2013
- Senior Program Committee Member: ACM International Conference on
Information and Knowledge Management (CIKM) 2012
- Finance Chair, ACM International Health Informatics Symposium (IHI) 2011
- Co-Chair, Keyword Search on Structured Data (KEYS) Workshop 2010, at SIGMOD
2010
- Finance Chair, IEEE International Conference on Data Mining (ICDM) 2009
- Proceedings Co-Chair, IEEE International Conference on Data Engineering (ICDE)
2009
- Co-Chair, Ranking in Databases Workshop (DBRank) 2008, at ICDE 2008
- Proceedings Co-Chair, SIGMOD 2006
- Publicity Chair, ACM International Conference on Information and Knowledge
Management (CIKM) 2006
- Program Committee Member:
- ACM Special Interest Group on Management Of Data (SIGMOD) 2025
- International Conference on Extending Database Technology (EDBT)
2024
- ACM Special Interest Group on Management Of Data (SIGMOD) 2024
- 25th International Symposium on Stabilization, Safety, and
Security of Distributed Systems, 2023
- VLDB Workshop on Data Management and Analytics for Medicine and
Healthcare (DMAH) 2022
- IEEE International Conference on Data Engineering (ICDE) 2022
- VLDB Workshop on Data Management and Analytics for Medicine and
Healthcare (DMAH) 2021
- ACM Special Interest Group on Management Of Data (SIGMOD) 2021
- International Conference on Extending Database Technology (EDBT)
2021
- Thirty-Fifth AAAI Conference on Artificial Intelligence 2021
- International Workshop on Data Management and Analytics for Medicine and Healthcare,
at VLDB 2020
- IEEE International Conference on Data Science and Advanced Analytics (DSAA)
2020
- VLDB Workshop on Data Management and Analytics for Medicine and Healthcare
(DMAH) 2020
- ACM Special Interest Group on Management Of Data (SIGMOD) 2020
- IEEE Graph Computing (GC) 2019
- ACM Special Interest Group on Knowledge Discovery and Data
Mining (SIGKDD) 2019
- ACM Special Interest Group on Management Of Data (SIGMOD) 2019
- Hellenic Data Management Symposium (HDMS) 2018
- ACM Special Interest Group on Knowledge Discovery and Data
Mining (SIGKDD) 2018
- IEEE International Conference on Data Engineering (ICDE) 2018
- ACM Special Interest Group on Management Of Data (SIGMOD) 2018
- International Workshop on Keyword-based Access and Ranking at Scale (KARS)
2017, in conjunction with EDBT
- Research Track, IEEE International Conference on Data Engineering (ICDE) 2017
- Industrial Track, IEEE International Conference on Data Engineering (ICDE) 2017
- International Conference on Web Search and Data Mining (WSDM)
2017
- 15th IEEE International Conference on Information Technology,
2016
- VLDB Workshop on Social Data Analytics and Management, 2016
- ACM Special Interest Group on Knowledge Discovery and Data
Mining (SIGKDD) 2016
- International Workshop on Exploratory Search in Databases and the Web (ExploreDB), in conjunction with SIGMOD 2016
- ACM Special Interest Group on Management Of Data (SIGMOD) 2016
- Hellenic Data Management Symposium (HDMS) 2015
- ACM Special Interest Group on Knowledge Discovery and Data
Mining (SIGKDD) 2015
- International Conference on Web Search and Data Mining (WSDM)
2015
- ACM Special Interest Group on Management Of Data (SIGMOD) 2015
- Proceedings of VLDB Endowment 2014-2015 (VLDB Conference 2015)
- American Medical Informatics Association (AMIA) Symposium 2014
(reviewer)
- ACM Special Interest Group on Knowledge Discovery and Data
Mining (SIGKDD) 2014
- Big Graph Mining (BGM) Workshop at WWW 2014
- International Conference on Web Search and Data Mining (WSDM)
2014
- International Conference on Extending Database Technology
(EDBT) 2014
- IEEE International Conference on Data Engineering (ICDE) 2014
- ACM Special Interest Group on Knowledge Discovery and Data
Mining (SIGKDD) 2013
- ACM Special Interest Group on Management Of Data (SIGMOD) 2013
- International Conference on Web Search and Data Mining (WSDM)
2013
- Keyword Search on Structured Data (KEYS) 2012 Workshop,
collocated with SIGMOD 2012
- Workshop on the Web and Databases (WebDB) 2012, co-located with SIGMOD
- 11th Hellenic Data Management Symposium, 2012
- ACM Special Interest Group on Management Of Data (SIGMOD) 2012
- International Conference on Web Search and Data Mining (WSDM) 2012
- IEEE International Conference on Data Engineering (ICDE) 2012
- Proceedings of VLDB Endowment 2011-2012 (VLDB Conference 2012)
- International Conference on Extending Database Technology (EDBT) 2012
- 20th ACM International Conference on Information and Knowledge Management
(CIKM 2011)
- 10th Hellenic Data Management Symposium, 2011
- Vision and Challenge track, International Symposium on Spatial and Temporal
Databases (SSTD 2011)
- Very Large Data Search Workshop (VLDS) at VLDB, 2011
- IEEE International Conference on Data Mining (ICDM) 2011
- ACM SIGMOD Demo Program 2011
- World Wide Web Conference (WWW) 2011
- Proceedings of VLDB Endowment 2010-2011 (VLDB Conference 2011)
- CIKM Posters 2011
- PIKM 2010 (Ph.D. Workshop in CIKM 2010)
- 19th ACM International Conference on Information and Knowledge Management
(CIKM 2010)
- 2010 ACM International Conference on Health Informatics (IHI 2010)
- 9th Hellenic Data Management Symposium, 2010
- IEEE International Conference on Data Mining (ICDM) 2010
- ACM SIGSPATIAL International Conference on Advances in Geographic Information
Systems 2010 (ACM GIS 2010)
- DBRank Workshop 2010, at ICDE
- IEEE International Conference on Data Engineering (ICDE) 2010
- 13th International Conference on Extending Database Technology (EDBT) 2010
- ACM SIGSPATIAL International Conference on Advances in Geographic Information
Systems 2009 (ACM GIS 2009)
- Fourth International Workshop on XML Data Management Tools and Techniques
(XANTEC '09), in conjunction with DEXA 2009
- Workshop on the Web and Databases (WebDB) 2009, co-located with SIGMOD
- Keyword Search on Structured Data (KEYS) 2009 Workshop, collocated with SIGMOD
2009
- Proceedings of VLDB Endowment (replacement of VLDB Conference Proceedings)
2008-2009
- 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-09)
- DBRank Workshop 2009, at ICDE
- IEEE International Conference on Data Engineering (ICDE) 2009
- IEEE International Conference on Data Mining (ICDM) 2008
- COMAD 2008 (International Conf on Management of Data)
- PIKM 2008 (Ph.D. Workshop in CIKM 2008)
- Third International Workshop on XML Data Management Tools and Techniques
(XANTEC '08), in conjunction with DEXA 2008
- 19th International Conference on Database and Expert Systems Applications
(DEXA) 2008
- DBRank 2007, collocated with ICDE 2007
- Workshop on Advances in Preference Handling co-located with VLDB 2007
- PIKM 2007 (Ph.D. Workshop in CIKM 2007)
- Workshop on the Web and Databases (WebDB) 2006 co-located with SIGMOD
- ACM Southeast Conference 2006
- Workshop on Advances in Preference Handling 2006
- Reviewer: American Medical Informatics Association (AMIA)
Symposium 2014, ACM TODS, Elsevier Journal of Computer and System Sciences, ACM
SIGMOD, VLDB, ICDE, TKDE, PODS, WebDB, WWWJ, Information Sciences journal, VLDB
Journal, Knowledge and Information Systems KAIS journal, Journal of Data and
Knowledge Engineering, Elsevier, USENIX, Distributed and Parallel Databases,
TKDD, Information Processing Letters (IPL), TOIS, Journal of Computer Science
and Technology (JCST), Elsevier Information Systems, MKP book, Springer Journal
of Medical Systems
KEYNOTES AND SELECTED PRESENTATIONS
- Invited talk at the IEEE Workshop of AI in Cybersecurity, Privacy and Software Engineering
(ai4cp) 2022 (remote)
- Invited talk at Future Leaders in Advancing Society and Health through
Technology (FLASH Tech) Conference 2022, Alabama (remote)
- Panelist at 22nd IEEE International Symposium on Multimedia, December
2020
- Panelist at IEEE Artificial Intelligence for Industries (ai4i),
September 2020
- Analysis of Online Health-Related User-Generated Content, Variants given
at:
- Invited talk
at Opioid Hackathon, Irvine, CA, October 2018
- Keynote talk at DMAH Workshop at VLDB, Munich, 2017
- Keynote talk at the KDD bigdas Workshop, Halifax, 2017
- Chatbot Technologies and Challenges, Tutorial at Artificial Intelligence for Industries
(ai4i), Laguna Hills, CA, September 2018
- Correlating Financial and Other Time Series with Micro-Blogging Activity,
IBM Zurich, 2013
- Collaborative Tagging for Web Item Design and Health Data Management Research, Microsoft Research, Redmond, 2012
- PatentsSearcher: A Novel Portal to Search and Explore Patents. 3rd
International Workshop on Patent Information Retrieval, at ACM CIKM 2010,
Toronto
- An Access Cost-Aware Approach for Object Retrieval over Multiple Sources,
VLDB 2010, Singapore
- Information Discovery in Vertical Domains. Invited Talk, Variants given
at:
- University of Athens, Greece, July 2010
- Yahoo! Research Barcelona, July 2010
- University of Waterloo, Canada, June 2010
- Free University of Bolzano, Bolzano, Italy, August 2009
- University of Roma Tre, Rome, Italy, July 2009
- University of Tsinghua, Beijing, China, April 2009
- University of Maryland, College Park, October 2008
- CADS: A Collaborative Adaptive Data Sharing Platform. VLDB Workshop on
Personalized Access, Profile Management, and Context Awareness in Databases (PersDB
2009), Lyon, France, August 2009
- Experiences on Processing Spatial Data with MapReduce. 21st International
Conference on Scientific and Statistical Database Management (SSDBM), New
Orleans, 2009
- Towards a Business Continuity Information Network for Rapid Disaster
Recovery. 9th Annual International Conference on Digital Government Research
2008, Montreal
- Search Electronic Medical Records. NSF Research Center, Bloomington, Indiana,
January 2008
- Keyword Search on Spatial Databases. IEEE ICDE 2008, Cancun
- Information Discovery on Electronic Medical Records. National Science
Foundation Symposium on Next Generation of Data Mining and Cyber-Enabled
Discovery for Innovation (NGDM) 2007, Baltimore, 2007
- Information Discovery on Electronic Medical Records. Bioinformatics Journal,
University of Miami, Miami, November 2007
- A Flexible Approach for Electronic Medical Records Exchange. International
Workshop on Health Information and Knowledge Management (HIKM), Arlington, VA,
November 2006
- Storing Trees on Disk Drives. Invited Talk, University of California, San
Diego (UCSD), 1/13/2006
- Keyword Search in Databases. Invited Talk
- IBM T.J. Watson Research Center, May 2005
- University of Texas at Arlington, 11/12/04
- University of Toronto, 10/21/2004
- Probabilistic Ranking of Database Query Results. At VLDB 2004, Toronto
- Efficient IR-style Keyword Search over Relational Databases. At VLDB 2003,
Berlin
- Keyword Search In Databases. At Microsoft Research, 7/2003
- XKeyword's presentation, at IEEE ICDE 2003, Bangalore, India
- DISCOVER's presentation, at VLDB 2002, Hong Kong.
- XCacher's presentation, at WebDB 2002, Madison, WI.
- PREFER's presentation, at ACM SIGMOD 2001, Santa Barbara, CA.
ENTREPRENEURSHIP
Founded UCR spin-off company SmartBot360 in 2018, which has been
supported by an STTR (NSF IIP-1448848) and an SBIR (NSF IIP-1819362) grant.
SmartBot360 offers a secure AI chatbot platform. It has employed over time
several UCR students and graduates.
LANGUAGES
English (Cambridge Proficiency), Greek (native), German (Goethe
Zertifikat)
REFERENCES
available upon request