Department of Digitalization

rrmdigi

Department of Digitalization

Raghava Rao
Mukkamala
Associate professor
,
PhD


Room: HOW/60-2.12
Mobile:
41852299
E-mail: rrm.digi@cbs.dk
Skype:
raomukkamala
Link to staff external Website:
Raghava's Blog
Research directories and social medias
Primary research areas
  • Computational Social Science
  • Big Data Analytics and Social Data Analytics
  • Text Analytics and Natural Language Processing
  • Data Mining and Machine Learning
  • Blockchain based Technologies and Smart Contracts
  • Fuzzy Logic and Soft Computing
  • Formal methods for business processes and workflows
Link to this homepage
www.cbs.dk/en/staff/rrmdigi
Presentation

Raghava Mukkamala is an associate professor at the Department of Digitalization, Copenhagen Business School; external lecturer of applied computing at the Westerdals Oslo School of Arts Communication and Technology; and co-director of the Computational Social Science Laboratory (http://cssl.cbs.dk). 

Raghava’s current research focus is on interdisciplinary approach to big data analytics. Combining formal/mathematical modeling approaches with data/text mining techniques and machine learning methodologies, his current research program seeks to develop new algorithms and techniques for big data analytics such as Social Set Analytics.

Raghava holds a PhD degree in Computer Science and a M.Sc degree in Information Technology, both from IT University of Copenhagen, Denmark and a Bachelor of Technology degree from Jawaharlal Nehru Technological University, India. Before moving to research, Raghava has many of years of programming and IT development experience from Danish IT industry.

Courses
  • Big Data Analytics (Data-in-Business Minor)
  • Big Social Data Analytics
  • Social Media Management
     
Publications & dissemination
2017
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.
Paper presented at 6th IEEE International Congress on Big Data, 2017
Paper
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.
In: Proceedings of the Hawaii International Conference on System SciencesLos Alamitos, CA : IEEE 2017, p. 1861-1870
Article in proceedings
Aseem Kinra; Raghava Rao Mukkamala; Ravi Vatrapu / Methodological Demonstration of a Text Analytics Approach to Country Logistics System Assessments
In: Dynamics in Logistics: Proceedings of the 5th International Conference LDIC, 2016 Bremen, Germany. . ed. /Michael Freitag; Herbert Kotzab; Jürgen Pannek. Cham : Springer The 5th International Conference on Dynamics in Logistics. LDIC 2016, 2017, p. 119-129 (Lecture Notes in Logistics)
Book chapter
2016
Nadiya Straton; Kjeld Hansen; Raghava Rao Mukkamala; Abid Hussain; Tor-Morten Grønli; Henning Langberg; Ravi Vatrapu / Big Social Data Analytics for Public Health : Facebook Engagement and Performance.
In: 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom). ed. /Alois Paulin. Los Alamitos, CA : IEEE 2016, p. 442-447
Article in proceedings
Anna Hennig; Anne-Sofie Åmodt; Henrik Hernes; Helene Mejer Nygårdsmoen; Peter Arenfeldt Larsen; Raghava Rao Mukkamala; Benjamin Flesch; Abid Hussain; Ravi Vatrapu / Big Social Data Analytics of Changes in Consumer Behaviour and Opinion of a TV Broadcaster
In: Proceedings of the 2016 IEEE International Conference on Big Data (BigData '16). ed. /James Joshi; George Karypis; Ling Liu. Piscataway, NJ : IEEE 2016, p. 3839-3848
Article in proceedings
Kjeld S. Hansen; Raghava Rao Mukkamala; Abid Hussain; Tor-Morten Grønli; Henning Langberg; Ravi Vatrapu / Big Social Data in Public Health : A Mixed-Methods Case Study of Sundhed.dk's Facebook Strategy, Engagement, and Performance.
In: Proceedings of the 7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2016)/The 6th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2016)/Affiliated Workshops. ed. /Ansar-Ul-Haque Yasar; Nik Bessis. Amsterdam : Elsevier Science 2016, p. 298-307 (Procedia Computer Science, Vol. 98)
Article in proceedings
Jari Jussila; Karan Menon; Raghava Rao Mukkamala; Lester Allan Lasrado; Abid Hussain; Ravi Vatrapu; Hannu Kärkkäinen; Jukka Huhtamäki / Crowdfunding in the Development of Social Media Fanbase : Case Study of Two Competing Ecosystems.
In: Proceedings of the 49th Hawaii International Conference on System Sciences (HICSS 2016). ed. /Tung Bui; Ralph H. Sprague, Jr.. Los Alamitos, CA : IEEE 2016, p. 4495-4504 (Annual Hawaii International Conference on System Sciences. Proceedings, Vol. 2016)
Article in proceedings
Linda Camilla Boldt; Vinothan Vinayagamoorthy; Florian Winder; Schnittger Melanie; Mats Ekram; Raghava Rao Mukkamala; Niels Buus Lassen; Benjamin Flesch; Abid Hussain; Ravi Vatrapu / Forecasting Nike’s Sales using Facebook Data
In: Proceedings of the 2016 IEEE International Conference on Big Data (BigData '16). ed. /James Joshi; George Karypis; Ling Liu. Piscataway, NJ : IEEE 2016, p. 2447-2456
Article in proceedings
Lasse Korsholm Poulsen; Daan Dekkers; Nicolaas Wagenaar; Wesley Snijders; Ben Lewinsky; Raghava Rao Mukkamala; Ravi Vatrapu / Green Cabs vs. Uber in New York City
In: Proceedings of the 2016 IEEE International Congress on Big Data. BigData Congress 2016. ed. /Calton Pu; Feoffrey Fox; Ernesto Damiani. Los Alamitos, CA : IEEE 2016, p. 222–229
Article in proceedings
Jayesh Prakash Gupta; Karan Menon; Hannu Kärkkäinen; Jukka Huhtamäki; Raghava Rao Mukkamala; Abid Hussain; Ravi Vatrapu; Jari Jussila; Henri Pirkkalainen / Identifying Weak Ties from Publicly Available Social Media Data in an Event
In: Academic Mindtrek 2016 : Proceedings of the 20th International Academic Mindtrek Conference 2016. New York : Association for Computing Machinery 2016, p. 11-19
Article in proceedings
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