Department of Digitalization

Ph.D, On leave

Kontor: HOW/60-2.01d
, Mobil:
E-mail: rv.digi@cbs.dk
Ravi Vatrapu is the director of the Centre for Business Data Analytics (http://bda.cbs.dk), professor of computational social science at the Department of Digitalization of the Copenhagen Business School, and professor of applied computing at the Westerdals Oslo School of Arts Communication and Technology.  
Center for Business Data Analytics (cbsBDA: bda.cbs.dk) conducts transdisciplinary basic research at the socio-technical intersections of computer science and social science with specific applications to managers in companies, teachers in schools and residents in cities.
cbsBDA's basic research program is aimed at modelling and explaining socio-technical interactions using set theory. Our applied research program seeks to design, develop and evaluate big data analytics applications for managers (descriptive, predictive, and prescriptive analytics), teachers (teaching analytics and learning analytics), and citizens (public health analytics).
cbsBDA’s current research, education, and service focuses on Big Social Data Analytics, GPS Analysis, Building Usage Analytics, and Bitcoin Blockchain Analytics.
cbsBDA aspires to conduct engaged scholarship in the Pasteur's Quadrant. cbsBDA’s objectives are not only to make seminal contributions to scientific knowledge as evidenced by peer-reviewed publications but also to create practical applications that yield meaningful facts, actionable insights, valuable outcomes, and sustainable impacts for organizations and society.
Prof. Vatrapu holds a Doctor of Philosophy (PhD) degree in Communication and Information Sciences from the University of Hawaii at Manoa, a Graduate Certificate in International Cultural Studies from the East-West Center & University of Hawaii, a Master of Science (MSc) in Computer Science and Applications from Virginia Tech, and a Bachelor of Technology (BTech) in Computer Science and Systems Engineering from Andhra University
Primære forskningsområder
  • Computational Social Science
  • Big Data Analytics
  • Social Set Analysis
  • Social Business:
    • Social Media Engagement
    • Social Media Analytics
    • Social Media Management
  • Teaching Analytics & Computer Supported Collaborative Learning (CSCL)
  • e-Government and e-Politics
  • Enactive Approach to the Philosophy of Mind
Curriculum Vitae
Sociale medier
Link til denne hjemmeside
  • Big Data Analytics (Data-in-Business Minor)
  • Big Social Data Analytics
  • Social Media Management

Prof. Vatrapu  is currently supervising 10 PhD students and more than 20 Master thesis students. He is interested in supervising PhD and Master projects on big data analytics, computational social science, technical projects on the enactive approaches to the philosophy of mind, teaching analytics and organizational learning.

Andre undervisningsaktiviteter

PhD Courses: Understanding Social Media and Understanding Social Business.

Udvalgte publikationer




[J.19] Siikanen, M., Baltakys, K., Kanniainen, J., Vatrapu, R., Mukkamala, R., & Hussain, A. (2018). Facebook Drives Behavior of Passive Households in Stock Markets. Finance Research Letters, https://doi.org/10.1016/j.frl.2018.1003.1020.

[J.18] Menon, K., Kärkkäinen, H., Jussila, J., Huhtamäki, J., Mukkamala, R. R., Lasrado, L., Vatrapu, R., & Hussain, A.  (2018). Analysing the Role of Crowdfunding in Entrepreneurial Ecosystems: A Social Media Event Study of Two Competing Product Launches. International Journal of Entrepreneurship and Small Business.

[J.17] Jensen, T., Vatrapu, R., & Bjorn-Andersen, N. (2018). Avocados Crossing Borders: The Problem of Runaway Objects and the Solution of a Shipping Information Pipeline for Improving International Trade. Information Systems Journal.

[J.16] C. Mejia; B. Florian-Gaviria; R. Vatrapu; S. Bull; S. Gomez; R. Fabregat. (2017). A novel web-based approach for visualization and inspection of reading difficulties on university students. IEEE Transactions on Learning Technologies, 10(1), pp. 53-67, doi: 10.1109/TLT.2016.2626292.

[J.15] Vatrapu, R., Mukkamala, R. R., Hussain, A., & Flesch, B. (2016). Social Set Analysis: A Set Theoretical Approach to Big Data Analytics. IEEE Access, 4, 2542-2571. [7462188]. DOI: 10.1109/ACCESS.2016.2559584.



[C.109] Harlev, M., Sun Yin, H., Langenheldt, K., Mukkamala, R., & Vatrapu, R. (2018). Breaking Bad: De-Anonymising Entity Types on the Bitcoin Blockchain Using Supervised Machine Learning. Proceedings of the Hawaii International Coneference on System Sciences (HICSS 2018). (Best Paper Award) (Best Student Paper Award)

[C.97] Kinra, A., Mukkamala, R., & Vatrapu, R. (2017). Methodological Demonstration of a Text Analytics Approach to Country Logistics System Assessments. Proceedings of the 5th International Conference on Dynamics in Logistics (LDIC 2016), Bremen, Germany. (Best Paper Nomination)

[C.62] Jensen, T., Bjørn-Andersen, N., & Vatrapu, R. (2014). Avocados Crossing Borders: The Missing Common Information Infrastructure for International Trade. In N. Yamashita, V. Evers, C. Rosé, & M. B. Watson-Manheim (Eds.), CABS '14. Proceedings of the 5th ACM International Conference on Collaboration across Boundaries: Culture, Distance & Technology. (pp. 15-24). New York: Association for Computing Machinery. DOI: 10.1145/2631488.2631500. (Best Paper Award)

[C.61] Zimmerman, C., Chen, Y., Hardt, D., & Vatrapu, R. (2014). Marius, the Giraffe: A Comparative Informatics Case Study of Linguistic Features of the Social Media Discourse. In N. Yamashita, V. Evers, C. Rosé, & M. B. Watson-Manheim (Eds.), Proceeding CABS '14 Proceedings of the 5th ACM International Conference on Collaoration Across Boundaries: Culture, Distance & Technology. (pp. 131-140). New York: Association for Computing Machinery. DOI: 10.1145/2631488.2631501 (Best Paper Nomination)

[C.22] Medina, R., Suthers, D., & Vatrapu, R. (2009). Inscriptions Becoming Representations. In Claire O'Malley, Daniel Suthers, Peter Reimann, Angelique Dimitracopoulou (eds). Computer Supported Collaborative Learning Practices: CSCL2009 Conference Proceedings, International Society of the Learning Sciences, June 8-13, 2009, Rhodes, Greece, pp.18-27.(Best Student Paper Award) (Best Paper Nomination)

[C.18] Le Pape, M., & Vatrapu, R. (2009). An Experimental Study of Field Dependency in Altered Gz Extreme Environments. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2009), April 4-9, 2009, Boston, USA. (Best Paper Nomination)

[C.13] Suthers, D., Vatrapu, R., Medina, R., & Dwyer, N. (2007). Information Sharing and Interaction in Collaborative Convergence. Proceedings of the 15th International Conference on Computers in Education (ICCE 2007), Hiroshima, Japan. (Best Paper Award)

Publications List
Publikationer sorteret efter:
Aseem Kinra; Kim Sundtoft Hald; Raghava Rao Mukkamala; Ravi Vatrapu / An Unstructured Big Data Approach for Country Logistics Performance Assessment in Global Supply Chains
I: International Journal of Operations and Production Management, Vol. 40, Nr. 4, 2020, s. 439-458
Tidsskriftartikel > peer review
Torsten Ringberg; Ravi Vatrapu; Kostos Pantazos / Enabling Managerial Decision Making : The Use of Multiple Views in Dashboards.
I: Proceedings of the Eightieth Annual Meeting of the Academy of Management. red. /Guclu Atinc. Briarcliff Manor, NY : Academy of Management 2020, 1 s. (Academy of Management Proceedings)
Konferenceabstrakt i proceedings > peer review
Lisbeth la Cour; Anders Milhøj; Ravi Vatrapu / Mikkeller and Weather Data
I: Symposium i anvendt statistik: 27.-28. januar 2020. . red. /Peter Linde. København : Økonomisk Institut, Københavns Universitet og Det Nationale Forskningscenter for Arbejdsmiljø 2020, s. 1-16
Konferencebidrag i proceedings > peer review
Xiaochen Zheng; Shengjing Sun; Raghava Rao Mukkamala; Ravi Vatrapu; Joaquín Ordieres-Meré / Accelerating Health Data Sharing : A Solution Based on the Internet of Things and Distributed Ledger Technologies.
I: Journal of Medical Internet Research, Vol. 21, Nr. 6, 2019
Tidsskriftartikel > peer review
Benedict Faber; Georg Michelet; Niklas Weidmann; Raghava Rao Mukkamala; Ravi Vatrapu / BPDIMS : A Blockchain-based Personal Data and Identity Management System.
I: Proceedings of the 52nd Hawaii International Conference on System SciencesHonolulu : Hawaii International Conference on System Sciences (HICSS) 2019, s. 6855-6864 (Proceedings of the Annual Hawaii International Conference on System Sciences)
Konferencebidrag i proceedings > peer review
Asle Fagerstrøm; Ravi Vatrapu; Jørgen O. Størksen / Co-creation of Value Using Social Media in the Service Industry : An Empirical Case Study of Service Innovation in a Banking and Finance Company.
I: 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018Los Alamos, CA : IEEE 1.2019, s. 560-564 (IEEE International Conference on Industrial Engineering and Engineering Management)
Konferencebidrag i proceedings > peer review
Nadiya Straton; Hyeju Jang; Raymond Ng; Ravi Vatrapu; Raghava Rao Mukkamala / Computational Modeling of Stigmatized Behaviour in Pro-Vaccination and Anti-Vaccination Discussions on Social Media
I: Proceedings of 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). red. /Illhoi Yoo; Jinbo Bi; Xiaohua Hu. Piscataway, NJ : IEEE 11.2019, s. 2673-2681
Konferencebidrag i proceedings > peer review
Raghava Rao Mukkamala; Ravi Vatrapu; Pradeep Kumar Ray; Gora Sengupta; Sankar Halder / Converging Blockchain and Social Business for Socio-Economic Development
I: Proceedings of the 2018 IEEE International Conference on Big Data. red. /Naoki Abe; Huan Liu; Calton Pu; Xiaohua Hu; Nesreen Ahmed; Mu Qiao; Yang Song; Donald Kossmann; Bing Liu; Kisung Lee; Jiliang Tang; Jingrui He; Jeffrey Saltz. Los Alamos, CA : IEEE 2019, s. 3039-3048
Konferencebidrag i proceedings > peer review
Jayesh Prakash Gupta ; Hannu Kärkkäinen; Karan Menon; Jukka Huhtamäki; Raghava Rao Mukkamala; Abid Hussain; Ravi Vatrapu; Jari Jussila; Henri Pirkkalainen; Thomas Olsson / Identifying Different Types of Social Ties in Events from Publicly Available Social Media Data
I: Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019): Volume 3: KMIS. . red. /Jorge Bernardino; Ana Salgado; Joaquim Filipe. Setúbal : SCITEPRESS Digital Library 2019, s. 176-186
Konferencebidrag i proceedings > peer review
Tor-Morten Grønli; Benjamin Flesch; Raghava Rao Mukkamala; Ravi Vatrapu; Sindre Klavestad; Herman Bergner / Internet of Things Big Data Analytics : The Case of Noise Level Measurements at the Roskilde Music Festival.
I: Proceedings of 2018 IEEE International Conference on Big Data. red. /Naoki Abe; Huan Liu; Calton Pu; Xiaohua Hu; Nesreen Ahmed; Mu Qiao; Yang Song; Donald Kossmann; Bing Liu; Kisung Lee; Jiliang Tang; Jingrui He; Jeffrey Saltz. Los Alamos, CA : IEEE 24.1.2019, s. 5153-5158
Konferencebidrag i proceedings > peer review
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