rvitm

Department of Digitalization

Ravi
Vatrapu
Professor
,
Ph.D, ITM PhD Coordinator


Kontor: HOW/60-2.14
Tel:
+4538154435
E-mail: rv.digi@cbs.dk
Forskningskommunikation og sociale medier
Primære forskningsområder
  • Social Business: Social Media Engagement, Social Media Analytics, & Social Media Management
  • Teaching Analytics
  • Augmented Reality Advertising
  • e-Government and e-politics
  • Human Computer Interaction
Links
Link til denne hjemmeside
www.cbs.dk/staff/rvitm
Præsentation

Ravi Vatrapu is a professor of human computer interaction at the Department of IT Management of the Copenhagen Business School, adjunct professor of applied computing at the Norwegian School of Information Technology, and director of the Computational Social Science Laboratory (CSSL).

Prof. Vatrapu’s basic research program is to conduct theory-based empirical studies of socio-technical affordances and develop an empirically-informed theory of technological intersubjectivity. His applied research areas are Social Media Management & Technology enhanced Learning. His current research projects are on social business, teaching analytics, and comparative informatics.

He holds a Doctor of Philosophy (PhD) degree in Communication and Information Sciences from the University of Hawaii at Manoa, a Master of Science (M.S) in Computer Science and Applications from Virginia Tech, and a Bachelor of Technology in Computer Science and Systems Engineering from Andhra University.

Kurser
  • Online Marketing
  • Social Media Analytics
  • Social Media Management
  • Gamification
  • Technology enhanced Teaching and Learning
  • Innovation and New Technologies
  • Mobile Application Development
Vejledning

Prof. Vatrapu currently supervising 4 PhD students and more than 20 thesis students. I am interested in supervising PhD and Master projects on social media, big data,  and organizational learning.

Andre undervisningsaktiviteter

PhD Courses: Understanding Social Media and Understanding Social Business

Ravi Vatrapu also teaches in the Master of ICT in Learning (MIL) programme, the Assistant Professor Programme (APP) of CBS, and conducts design workshops with school teachers.

Udvalgte publikationer
  • Vatrapu, R. (in press/2013). Understanding Social Business. In K.B. Akhilesh (Ed.), Emerging Dimensions of Technology Management. Springer.
  • Robertson, S., Vatrapu, R., & Medina, R. (2010). Off the Wall Political Discourse: Facebook Use in the 2008 U.S. Presidential Election. Information Polity, 15(1-2), 11-31.
  • Vatrapu, R., Reimann, P., & Hussain, A. (2012). Towards Teaching Analytics: Repertory Grids for Formative Assessment. Proceedings of the Tenth International Conference of the Learning Sciences (ICLS) 2012, Sydney, Australia.
  • Vatrapu, R. (2010). Explaining Culture: An Outline of a Theory of Socio-Technical Interactions. Proceedings of the 3rd ACM International Conference on Intercultural Collaboration (ICIC 2010), 19-20 August 2010, Copenhagen, Denmark.
  • Seisto, A., Aikala, M., Vatrapu, R., & Kuula, Timo. (2012). Augmented Reality as a technology bringing interactivity to print products. Proceedings of the 39th International Research Conference of iarigai, 9-12 September 2012, Ljubljana, Slovenia.
Publikationer & formidling
2017
Benjamin Flesch; Ravi Vatrapu; Raghava Rao Mukkamala / A Big Social Media Data Study of the 2017 German Federal Election Based on Social Set Analysis of Political Party Facebook Pages with SoSeVi
I: Proceedings of 2017 IEEE International Conference on Big Data: BIGDATA. Boston, USA : IEEE 2017, s. 2638-2647
Konferencebidrag i proceedings
Haohua Sun Yin; Ravi Vatrapu / A First Estimation of the Proportion of Cybercriminal Entities in the Bitcoin Ecosystem using Supervised Machine Learning
I: Proceedings of 2017 IEEE International Conference on Big Data: BIGDATA. Los Alamitos, CA : IEEE 2017, s. 3608-3617
Konferencebidrag i proceedings
Carolina Mejia; Beatriz Florian-Gaviria; Ravi Vatrapu; Susan Bull; Sergio Manuel Madero Gómez; Ramon Fabregat / A Novel Web-based Approach for Visualization and Inspection of Reading Difficulties on University Students
I: I E E E Transactions on Learning Technologies, Vol. 10, Nr. 1, 2017, s. 53-67
Tidsskriftartikel
Jonathan-Raphael Reichert; Klaus Langholz Kristensen; Raghava Rao Mukkamala; Ravi Vatrapu / A Supervised Machine Learning Study of Online Discussion Forums about Type-2 Diabetes
I: 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom). red. /Hsi Pin Ma; Baofeng Wang. Los Alamos, CA : IEEE 2017, s. 1-7
Konferencebidrag i proceedings
Thomas Jensen; Ravi Vatrapu; Niels Bjørn-Andersen / Avocados Crossing Borders : The Problem of Runaway Objects and the Solution of a Shipping Information Pipeline for Improving International Trade.
I: Information Systems Journal, 14.8.2017
Tidsskriftartikel
Nadiya Straton; Raghava Rao Mukkamala; Ravi Vatrapu / Big Social Data Analytics for Public Health : Comparative Methods Study and Performance Indicators of Health Care Content on Facebook.
I: Proceedings of 2017 IEEE International Conference on Big Data: BIGDATA. Boston, USA : IEEE 2017, s. 2690-2695
Konferencebidrag i proceedings
Nadiya Straton; Raghava Rao Mukkamala; Ravi Vatrapu / Big Social Data Analytics for Public Health : Predicting Facebook Post Performance Using Artificial Neural Networks and Deep Learning.
I: Proceedings of the 6th IEEE International Congress on Big Data. BigData Congress 2017. red. /George Karypis; Jia Zhang. Los Alamitos, CA : IEEE 2017, s. 89-96
Konferencebidrag i proceedings
Nicolai H. Egebjerg; Niklas Hedegaard; Gerda Kuum; Raghava Rao Mukkamala; Ravi Vatrapu / Big Social Data Analytics in Football : Predicting Spectators and TV Ratings from Facebook Data.
I: Proceedings of the 6th IEEE International Congress on Big Data. BigData Congress 2017. red. /George Karypis; Jia Zhang. Los Alamitos, CA : IEEE 2017, s. 81-88
Konferencebidrag i proceedings
Desiree Christina Komtesse af Rosenborg; Ida Buhl-Andersen; Line Bygvrå Nilsson; Mark Philip Rebild; Raghava Rao Mukkamala; Abid Hussain; Ravi Vatrapu / Buzz vs. Sales : Big Social Data Analytics of Style Icon Campaigns and Fashion Designer Collaborations on H&M’s Facebook Page.
I: Proceedings of the Hawaii International Conference on System SciencesLos Alamitos, CA : IEEE 2017, s. 1861-1870
Konferencebidrag i proceedings
Katrine Kunst; Ravi Vatrapu; Abid Hussain / Electronic Word of Behavior : Conceptual Framework and Research Design for Analyzing the Effect of Increased Digital Observability of Consumer Behaviors in a Movie Streaming Context.
I: Internetworked World: Revised Selected Papers of the 15th Workshop on e-Business, WeB 2016. . red. /Ming Fan; Jukka Heikkilä; Hongxiu Li; Michael J. Shaw; Han Zhang. Cham : Springer 2017, s. 95-103 (Lecture Notes in Business Information Processing, Vol. 296)
Konferencebidrag i proceedings
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