Dr. Vive Kumar

Professor - School of Computing and Information Systems

Email: vive@athabascau.ca

Secondary Email: vivek@athabascau.ca

Phone#: 1.780.929.6979

Toll-free Phone#: 1.866.213.8215

Mobile Phone#:

Three conference papers on Music Analytics, Sentiment Analysis and Data Analytics are being presented in July at ICALT 2018, Mumbai, India.
Prototype development commences in July regarding a provisional patent on video transmission.
Development on junior hockey analytics restarts in July.

For more information, please visit: http://vivek.athabascau.ca

Education

PhD Computer Science (University of Saskatchewan, Canada)
MCA Computer Science Applications (Bharathiar University, India)
BSc Physics with Mathematics and Chemistry minors (Bharathiar University, India)

For more information, please visit: http://vivek.athabascau.ca

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Teaching Responsibilities

COMP695 - Research Methods
COMP683 - Learning and Knowledge Analytics
COMP495/496 - Computer and Information Systems Project
COMP494 - Research Methods
COMP308 - Java for Programmers

For more information, please visit: http://vivek.athabascau.ca

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Academic Experience

Research Assistant, University of Saskatchewan, Canada
Assistant Professor, Simon Fraser University, Canada
Senior Lecturer, Massey University, New Zealand
Associate Professor, Athabasca University, Canada
Professor, Athabasca University, Canada

For more information, please visit: http://vivek.athabascau.ca

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Consultant Experience

Fellow, United Nations Develop Programme, University of Pittsburgh, USA
Manager/Analyst, Asian Development Bank Project, Open University of Sri Lanka, Sri Lanka
Product Owner, Music Analytics, Vienna Boys Choir, Austria
Consultant, Neuromusic research, University of Zurich, Switzerland

For more information, please visit: http://vivek.athabascau.ca

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Industry Experience

Scientist, Centre for development of advanced computing, Mumbai, India
Senior Software Engineer, Axes Technologies, Dallas, TX, USA
Analyst/Manager, International Road Dynamics, Saskatoon, SK, Canada
President & CEO, Smart Informatics Ltd., Edmonton, AB, Canada

For more information, please visit: http://vivek.athabascau.ca

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Professional Memberships

Senior Member, IEEE
Member, IAIED (Artificial Intelligence in Education)

For more information, please visit: http://vivek.athabascau.ca

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Awards and Achievements

July 2014, Best Full Paper Award for Boulanger D., Seanosky J., Kumar V., Kinshuk, Panneerselvam K., Somasundaram T.S. (2014), Optimizing learning through smart causal analytics on learning (SCALE). Conference on Smart Learning Environments, pp. 275-282

May 2001, Best Computer Science Graduate Award of 2001 at the University of Saskatchewan

Apr 1997, Best Paper Award for Collins J.A., Greer J.E., Kumar V., McCalla G.I., Meagher P., Tkatch R. (1997), Inspectable User Models for Just-In-Time Workplace Training. UM’97, the Sixth International Conference on User Modeling, pp. 327–337

Sep 1995, NSERC Graduate Scholarship, University of Saskatchewan

Dec 1992, Fellow of the United Nations Development Program, Learning Research and Development Centre, University of Pittsburgh, PA, USA

Jan 1992, Best Paper Award for Kumar V., Srinivas P., and Anjaneyulu K.S.R., A Review of Techniques in Intelligent Language Tutoring Systems. East-West Conference on Emerging Technologies in Education, Moscow, Russia, 1992, pp. n/a

May 1990, First Rank among Master of Computer Application students at Bharathiar University, India

May 1987, Third Rank among Bachelor of Science students at Bharathiar University, India

For more information, please visit: http://vivek.athabascau.ca

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Research Profiles and Interests

Imagine a software agent that calls your computer its home, helps you to study better, be your friend, and motivates you to act in your long-term best interest, consistent with your own deepest values, personal, social, and other standards.

My research aims to build, deploy, and evaluate a suite of such agents called anthropomorphic agents that mimic and do better on human-like traits to assist learners in their regulatory tasks. Further, these agents will self-regulate, as well as causally model their own anthropomorphic traits such as initiative and subject matter competence in order to inspire high level of trust, shared perspective, and entitativity, thus increasing the learners’ willingness to view them as competent partner for co-regulation and to inspire learners to make the optimal regulatory changes.

To sustain and to succeed in performing such tasks, the agents rely on big data learning analytics techniques where:

sensors continuously observe study episodes of learners,
distributed ontologies continuously instantiate study activities,
causal models continuously establish relationships among study experiences,
high performance platforms continuously offer real-time computing resources, and
pedagogical models continuously look for ways to motivate, engage, classify, learn, and promote subject knowledge and study skills.

These agents aim to attune themselves to the needs of an individual learner or a group of learners, over life, to optimise learning experiences.

Areas

Artificial Intelligence in Education

Big Data Learning Analytics
Intelligent Tutors and Smart Objects
User Modelling and Model Tracing

Self-Regulated and Co-Regulated Learning

Computational Models of self- and co-regulation
Computer-Supported Collaborative Learning
Computational Models of Grit

Human-Computer Interaction

Mixed-Initiative
Real-time feedback and regulation

Causal Modelling

Knowledge Engineering, Representation, and Reasoning
Game-based causality
Longitudinal and Observational causal models
Discovery of causal models

Technology-Enhanced Teaching, Learning, and Research

Big Data Learning Analytics
Intelligent Tutors and Smart Objects
User Modelling and Model Tracing

For more information, please visit: http://vivek.athabascau.ca

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Publications

Please visit http://vivek.athabascau.ca/pages/publications.html

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Research Supervision

Please visit http://vivek.athabascau.ca/pages/supervision.html

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Current Projects

Junior Hockey Analytics (IoT sensors, data analytics)
Music Analytics (IoT sensors, AI, teaching analytics, RNN)
Sentiment Analysis (AI)
Privacy in Healthcare (AI, Open Data, Open Research, Open Science, HTTPA)
Video transmission (AI, SDN)
Augmented and Virtual Reality (Self-regulation, Co-Regulation, training, assessment, complex representations, AI)
Healthcare Analytics (ADHD diagnosis, WLD diagnosis, RNN, NN, AI)
Bioinformatics (AI, bigdata, Bayesian reasoning and machine learning)
Research Productivitiy (lean and agile methods, data analytics)
Traffic Flow Optimization (AI, Bayesian reasoning, data analytics)
Workflow Analysis (Alfresco, Moodle, AI)

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Link to Personal Webpage

http://vivek.athabascau.ca