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
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.

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
Sociale medier
Links
Link til denne hjemmeside
www.cbs.dk/staff/rvitm
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
2018
Karan Menon; Hannu Kärkkäinen; Jari Jussila; Jukka Huhtamäki; Raghava Rao Mukkamala; Lester Allan Lasrado; Ravi Vatrapu; Abid Hussain / Analysing the Role of Crowdfunding in Entrepreneurial Ecosystems : A Social Media Event Study of Two Competing Product Launches.
I: International Journal of Entrepreneurship and Small Business, Vol. 33, Nr. 4, 2018, s. 575-606
Tidsskriftartikel
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, Vol. 28, Nr. 2, 3.2018, s. 408-438
Tidsskriftartikel
Mikkel Alexander Harlev; Haohua Sun Yin; Klaus Christian Langenheldt; Raghava Rao Mukkamala; Ravi Vatrapu / Breaking Bad : De-Anonymising Entity Types on the Bitcoin Blockchain Using Supervised Machine Learning.
I: Proceedings of the 51st Hawaii International Conference on System Sciences 2018Honolulu : Hawaii International Conference on System Sciences (HICSS) 2018, s. 3497-3506 (Annual Hawaii International Conference on System Sciences. Proceedings)
Konferencebidrag i proceedings
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. 2017 IEEE International Conference on Big Data: IEEE Big Data 2017. . red. /Jian-Yun Nie; Zoran Obradovic; Toyotaro Suzumura; Rumi Ghosh; Raghunath Nambiar; Chonggang Wang; Hui Zang; Ricardo Baeza-Yates; Xiaohua Hu; Jeremy Kepner; Alfredo Cuzzocrea; Jian Tang; Masashi Toyoda. Los Alamitos, CA : 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. 2017 IEEE International Conference on Big Data: IEEE Big Data 2017. . red. /Jian-Yun Nie; Zoran Obradovic; Toyotaro Suzumura; Rumi Ghosh; Raghunath Nambiar; Chonggang Wang; Hui Zang; Ricardo Baeza-Yates; Xiaohua Hu; Jeremy Kepner; Alfredo Cuzzocrea; Jian Tang; Masashi Toyoda. Los Alamitos, CA : IEEE 2017, s. 3690-3699
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
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. 2017 IEEE International Conference on Big Data: IEEE Big Data 2017. . red. /Jian-Yun Nie; Zoran Obradovic; Toyotaro Suzumura; Rumi Ghosh; Raghunath Nambiar; Chonggang Wang; Hui Zang; Ricardo Baeza-Yates; Xiaohua Hu; Jeremy Kepner; Alfredo Cuzzocrea; Jian Tang; Masashi Toyoda. Los Alamitos, CA : IEEE 2017, s. 2772-2777
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
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