Data and Knowledge Engineering Laboratory

Data Mining     Databases     Data Science     Big Data     High Performance Analytics

Machine Learning     Knowledge Discovery     Computational Biology

Deep Learning     Cyberinfrastructure


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.

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

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


      Bioinformatics Database Systems

Kevin Byron, Katherine G. Herbert and Jason T. L. Wang
CRC Press, 2017
ISBN: 978-1-4398-1247-1

      Pattern Recognition in Computational Molecular Biology: Techniques and Approaches

Mourad Elloumi, Costas Iliopoulos, Jason T. L. Wang and Albert Y. Zomaya (eds.)
Wiley, 2015
ISBN: 978-1-118-89368-5

      Biological Data Mining and Its Applications in Healthcare

Xiaoli Li, See-Kiong Ng and Jason T. L. Wang (eds.)
World Scientific Publishing Company, 2014
ISBN: 978-981-4551-00-7

Computational Intelligence and Pattern Analysis in Biological Informatics

Ujjwal Maulik, Sanghamitra Bandyopadhyay and Jason T. L. Wang (eds.)
Wiley, 2010
ISBN: 978-0-470-58159-9

      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
Springer, 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


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

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