Welcome to Dr. G’s Page!!!

GAUTAM SRIVASTAVA

Assistant Professor

Telephone: +1 (204) 727-9748 (Office)

Telephone: +1 (250) 882-5516 (Cell)

FAX: +1 (204) 728-7346

srivastavag@brandonu.ca

RESEARCH INTERESTS

Big Data, Data Mining, Social Networks, Cryptography, Security and Privacy, and Graphs

EDUCATION

Ph.D., Computer Science August 2011

Thesis: Social Network Anonymization through Graphs

University of Victoria, Victoria, British Columbia, Canada

M.Sc., Computer Science August 2006

Thesis: Pseudorandom number generators using multiple sources of entropy

University of Victoria, Victoria, British Columbia, Canada

B.Sc., Mathematics and Computer Science June 2004

Briar Cliff University, Sioux City, Iowa, USA

ACADEMIC POSITIONS

Assistant Professor September 2014-Present

Department of Mathematics & Computer Science

Brandon University (BU)

Assistant Teaching Professor September 2011-September 2014

Department of Computer Science

University of Victoria (UVic)

Faculty September 2008-September 2010

Department of Media and Communications

University of Canada West (UCW)

Sessional Lecturer September 2005-August 2007

Department of Computer Science

University of Victoria (Uvic)

SELECTED RECENT PUBLICATIONS

Invited Book Chapters

Sean Chester, Bruce M. Kapron, Gautam Srivastava, Venkatesh Srinivasan and Alex Thomo. Anonymization and De-Anonymization of Social Network Data. Encyclopedia of Social Network Analysis and Mining, Volume 2, 2018.

Sean Chester, Bruce M. Kapron, Gautam Srivastava, Venkatesh Srinivasan and Alex Thomo. Anonymization and De-Anonymization of Social Network Data. Encyclopedia of Social Network Analysis and Mining, Volume 1, 2014.

Refereed Journal Publications

Evan Citulsky*, Gautam Srivastava and Kyle Tilbury*. The Effects of Ant Colony Optimization on the Anonymization of Graphs. Journal of Computing (JoC). 5 (1), 95-117, 2016

Sean Chester, Bruce M. Kapron, Gautam Srivastava and Srinivasan Venkatesh. Complexity of Social Network Anonymization, Social Network Analysis and Mining. 3 (2), 151-166. 2013.

Sean Chester, Bruce M. Kapron, Ganesh Ramesh, Gautam Srivastava, Alex Thomo and Srinivasan Venkatesh. Why Waldo Befriended the Dummy? k-Anonymization of Social Networks with Pseudo-Nodes. Social Network Analysis and Mining. 3 (3), 381-399, 2013.

Refereed Conference Publications

Debasis Mohanpatra and Gautam Srivastava. Hypergraph Anonymization Techniques. The Web Conference (WWW). 2018.

Doug Pickering, Mykel Shumay*, Douglas Spencer, Gautam Srivastava. Social Media Influence as a Repeatable Process. Fuzzy Systems ad Data Mining (FSDM), 2017.

Evan Citulsky*, Gautam Srivastava and Mykel Shumay*. Social Network Anonymity using Ant Colony Systems. Proceedings of the Computer Gaming and Allied Technology (CGAT), 2017.

Mykel Shumay* and Gautam Srivastava. Images as Book Cipher Keys: An Efficient Means of Secure, Non-Deterministic Cryptography. International Central European Conference on Cryptography (CECC), 2017.

TEACHING

Brandon University Courses

62:264: Digital Computer Fundamentals (Course Instructor and Lab Instructor)

62:306: Systems Programming (Operating Systems) (Course Instructor)

62:231: Introduction to C++ (Course Instructor)

62:364: MicroProcessors (Course Instructor)

62:367: Computer Organization (Course Instructor)

62:371: Databases (Course Instructor)

62:483: Senior Seminar Course on Big Data (Course Instructor)

University of Victoria Courses

CSC 100: Elementary Computing (Course Instructor)

CSC 105: Computers and Information Processing (Course Instructor)

CSC 106/212: The Practice of Computer Science (Course Instructor)

CSC 110: Fundamentals of Programming I (Course Instructor)

CSC 111: Fundamentals of Programming with Engineering Applications

CSC 115: Fundamentals of Programming II (Course Instructor)

CSC 230: Introduction to Computer Architecture (Course Instructor)

CSC 320: Foundations of Computer Science (Course Instructor)

INVITED LECTURES

Chung Yuan Christian University April 2017

Hardware Cache Organization

China Medical University April 2017

Big Data

Shih Chien University April 2017

Data Mining and Trends in Big Data