Vagelis Hristidis
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7/29/2019 Vagelis Hristidis http://slidepdf.com/reader/full/vagelis-hristidis 1/1 Preface xi The following are some examples of the target audience of this book. Medical informaticians, who are interested on how the EHR data can be searched and mined Computer science students and researchers, who want to make the jump to healthcare research Medical students who want to learn about EHRs and the way they are leveraged to extract useful knowledge Medical, statistical, or other types of researchers who study medical trends or patterns Medical, computer science, or information technology students tak- ing a course on mining medical data Vagelis Hristidis xiii Acknowledgments I would like to thank all the contributors of this book for their effort and dedication and for believing in the success of this book. Obviously, this book would not be possible without their support. I would also like to thank Randi Cohen and Professor Vipin Kumar, who are the executive and series editors for this book series, for their support. Vagelis Hristidis (also Evangelos Chris tidis) received his bachelors degree in electrical and computer engineering at the National Technical University of Athens in 1999. He later moved to San Diego, California, where he finished his masters and doctoral degrees in computer science in 2000 and 2004, respectively, at the University of California, San Diego. Since 2004, he has been an assistant professor at the School of Computing and Information Sciences at Florida International University in Miami, Florida. Dr. Hristidis is an expert in database sys- tems and information retrieval (IR). His main research contribution is his work on bridging the gap between databases and IR, by facilitating keyword searching on structured databases. He has successfully applied these tech- niques to bibliographic, biomedical, and clinical databases, in collaboration with domain experts from the areas of medicine and biology. Dr. Hristidis has also worked in the areas of ranked queries, query results exploration, Web search, storage and parsing of XML data, and spatial databases. Dr. Hristidiss work has resulted in more than 40 publications, which have received more than 1000 bibliographic citations according to Google Scholar. His work has been funded by the National Science Foundation. Dr. Hristidis has served on numerous program committees of confer- ences including the Institute of Electrical and Electronics Engineers (IEEE) International Conference on Data Engineering, the International Conference on Extending Database Technology, the IEEE International Conference on Data Mining, the Association for Computing Machinery Special Interest Group on Spatial Information, the International Conference on Advances in Geographic Information Systems, and on the review board of the Proceedings of Very Large Databases Endowment. He has also served as cochair of the International Workshop on Ranking in Databases, and as proceedings, finance, and publicity chair of major database conferences.
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Transcript of Vagelis Hristidis
7/29/2019 Vagelis Hristidis
http://slidepdf.com/reader/full/vagelis-hristidis 1/1
Preface xiThe following are some examples of the target audience of this book.Medical informaticians, who are interested on how the EHR data can be searched and minedComputer science students and researchers, who want to make the jump to healthcare researchMedical students who want to learn about EHRs and the way they are leveraged to extract useful knowledgeMedical, statistical, or other types of researchers who study medical trends or patternsMedical, computer science, or information technology students tak- ing a course on mining medical dataVagelis HristidisxiiiAcknowledgmentsI would like to thank all the contributors of this book for their effort anddedication and for believing in the success of this book. Obviously, this bookwould not be possible without their support. I would also like to thank RandiCohen and Professor Vipin Kumar, who are the executive and series editorsfor this book series, for their support.
Vagelis Hristidis (also Evangelos Chris tidis)received his bachelors degree in electrical andcomputer engineering at the National Technical
University of Athens in 1999. He later moved toSan Diego, California, where he finished hismasters and doctoral degrees in computerscience in 2000 and 2004, respectively, at theUniversity of California, San Diego. Since 2004,he has been an assistant professor at the Schoolof Computing and Information Sciences atFlorida International University in Miami,Florida.Dr. Hristidis is an expert in database sys-tems and information retrieval (IR). His main research contribution is hiswork on bridging the gap between databases and IR, by facilitating keywordsearching on structured databases. He has successfully applied these tech-
niques to bibliographic, biomedical, and clinical databases, in collaborationwith domain experts from the areas of medicine and biology. Dr. Hristidishas also worked in the areas of ranked queries, query results exploration,Web search, storage and parsing of XML data, and spatial databases. Dr.Hristidiss work has resulted in more than 40 publications, which havereceived more than 1000 bibliographic citations according to Google Scholar.His work has been funded by the National Science Foundation.Dr. Hristidis has served on numerous program committees of confer-ences including the Institute of Electrical and Electronics Engineers (IEEE)International Conference on Data Engineering, the International Conferenceon Extending Database Technology, the IEEE International Conference onData Mining, the Association for Computing Machinery Special InterestGroup on Spatial Information, the International Conference on Advances in
Geographic Information Systems, and on the review board of the Proceedingsof Very Large Databases Endowment. He has also served as cochair of theInternational Workshop on Ranking in Databases, and as proceedings,finance, and publicity chair of major database conferences.
