NJIT
Data and Knowledge Engineering Laboratory

co-located with

Bioinformatics and Life Science Informatics Laboratory


Data Mining     Databases     Bioinformatics     Cyberinfrastructure     Digital Libraries

Integration Informatics (Data, Tool, Application and Information Integration)


Introduction

The DKE Laboratory, established in 1991, is a research facility in the Department of Computer Science at the New Jersey Institute of Technology (NJIT), New Jersey's Science and Technology University, devoted to the area of data and knowledge engineering. The Laboratory is actively engaged in both forward looking research projects and applied research projects, designing novel algorithms and tools and tackling problems facing today's database and knowledge engineers.

The Laboratory has a four-part mission:

  • Develop instructional programs to train NJIT students in data and knowledge management skills demanded by industry.
  • Facilitate joint research efforts between researchers in academia and industry.
  • Provide infrastructure to support cutting edge research in data, information, and knowledge management.
  • Engage in cross-disciplinary research efforts with partners in the country and around the world.

The Laboratory has three major goals:

  • Enrich educational programs offered by NJIT in the areas of data and knowledge management as well as their applications in science, engineering and biology informatics.
  • Promote, foster and support collaborative efforts between NJIT and industry and between NJIT and research units in national and international laboratories and organizations.
  • Advance the state of the art in data and knowledge engineering by investigating and exploring fundamental research issues such as data integration, mining, cleaning and searching in scientific, biological, and modern databases.

The BIOLSI Laboratory, co-located with the DKE Laboratory, is a research facility in the Department of Computer Science at the New Jersey Institute of Technology, New Jersey's Science and Technology University, devoted to the area of bioinformatics and life science informatics. The BIOLSI Laboratory shares the same mission and goals as the DKE Laboratory, with a focus on interdisciplinary research and education. The BIOLSI Laboratory is a participant of the Joint Biomedical Engineering PhD Program offered by the University of Medicine and Dentistry-New Jersey Medical School and NJIT, the Quantitative Neurosciences Doctoral Training Program funded by the Howard Hughes Medical Institute, and the MS in Computational Biology Program funded by the Alfred P. Sloan Foundation. Current research efforts concentrate on data mining and database management in comparative genomics, phylogenomics and genetics, RNA genomics, regulatory genomics, systems biology, cheminformatics, quantitative neurosciences, and neuroinformatics.

Current and past research projects conducted in the DKE and BIOLSI Laboratories include MDSDB (Motif Discovery in Scientific Databases), PDCDB (Pattern Discovery in Combinatorial Databases), ASES (Approximate Search Engine for Structure), RADAR (RNA Data Analysis and Research), PhyloGO (Phylogenetic Gene Ontology) and ChemMiner.

Thanks for visiting our Laboratories. We look forward to hearing from you.

Jason T. L. Wang, Ph.D.
Lab Director



Publications


Analysis of Biological Data: A Soft Computing Approach

Sanghamitra Bandyopadhyay, Ujjwal Maulik and Jason T. L. Wang (eds.)
World Scientific Publishing Company, 2007
ISBN 978-981-270-780-2






Data Mining in Bioinformatics

Jason T. L. Wang, Mohammed J. Zaki, Hannu T. T. Toivonen and
Dennis Shasha (eds.)
Springer, 2005
ISBN 1-85233-671-4






Mining the World Wide Web: An Information Search Approach
(Japanese Translation)


George Chang, Marcus J. Healey, James A. M. McHugh and
Jason T. L. Wang
http://www.kyoritsu-pub.co.jp/, Japan, 2004
ISBN 4-320-12087-6




Computational Biology and Genome Informatics

Jason T. L. Wang, Cathy H. Wu and Paul P. Wang (eds.)
World Scientific Publishing Company, 2003
ISBN 981-238-257-7






Mining the World Wide Web: An Information Search Approach

George Chang, Marcus J. Healey, James A. M. McHugh and
Jason T. L. Wang
Kluwer Academic Publishers, 2001
ISBN 0-7923-7349-9






Pattern Discovery in Biomolecular Data: Tools, Techniques,
and Applications


Jason T. L. Wang, Bruce A. Shapiro and Dennis Shasha (eds.)
Oxford University Press, 1999
ISBN 0-19-511940-1





Acknowledgments

The following students have made contributions to various phases of the projects conducted in the Labs.

Bhangiri, Seema
Cerequas, Jennifer
Chuang, Wei-Jen
Fernandez, Ruben Antonio
Fu, Peng
Gansert, Juliane
Ghai, Rashmi
Herbert, Katherine G.
Jancerak, Craig
Johnson, Philip
Jones, Mary Ann
Kalra, Achir
Liu, Jianghui
Lokhandwala, Munira
Lu, Joyce Ye
Natarajan, Rama
Neelavalli, Viswanath
Patel, Girish
Pysniak, Karen
Satija, Shishir
Shadaksharappa, Anchana
Shafiq, Mahboob Hasan
Shan, Huiyuan
Shih, Tom Tien-Hua
Spirollari, Junilda
Sunkara, Prathy Usha
Walawalkar, Girish Prakash
Yin, Michael Maisheng
Zhang, Sen
Zheng, Xinhuan