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:
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. 

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
Jonathan-Raphael Reichert; Klaus Langholz Kristensen; Raghava Rao Mukkamala; Ravi Vatrapu / A Supervised Machine Learning Study of Online Discussion Forums about Type-2 Diabetes
In: 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom). ed. /Hsi Pin Ma; Baofeng Wang. Los Alamos, CA : IEEE 2017, p. 1-7
Article in 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.
In: Proceedings of the 6th IEEE International Congress on Big Data. BigData Congress 2017. ed. /George Karypis; Jia Zhang. Los Alamitos, CA : IEEE 2017, p. 89-96
Article in 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.
In: Proceedings of the 6th IEEE International Congress on Big Data. BigData Congress 2017. ed. /George Karypis; Jia Zhang. Los Alamitos, CA : IEEE 2017, p. 81-88
Article in 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.
In: Proceedings of the Hawaii International Conference on System SciencesLos Alamitos, CA : IEEE 2017, p. 1861-1870
Article in proceedings
Osku Torre; Jayesh Prakash Gupta ; Hannu Kärkkäinen; Henri Pirkkalainen; Ravi Vatrapu; Raghava Rao Mukkamala; Abid Hussain / Integrating Micro-level Interactions with Social Network Analysis in Tie Strength Research : The Edge-centered Approach.
In: Proceedings of the 21st International Academic Mindtrek Conference. ed. /Markku Turunen; Heli Väätäjä; Janne Paavilainen; Thomas Olsson. New York : Association for Computing Machinery 2017, p. 203-209
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
Xiao Xiao; Jonas Hedman; Felix Ter Chian Tan; Chee-Wee Tan; Eric T.K. Lim; Torkil Clemmensen; Stefan Henningsson; Raghava Rao Mukkamala; Ravi Vatrapu; Jos van Hillegersberg / Sports Digitalization : An Overview and A Research Agenda.
In: ICIS 2017 ProceedingsAtlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL) 2017 (Proceedings / International Conference on Information Systems (ICIS))
Article in proceedings
Xiao Xiao; Jonas Hedman; Felix Ter Chian Tan; Chee-Wee Tan; Eric T. K. Lim; Torkil Clemmensen; Stefan Henningsson; Raghava Rao Mukkamala; Ravi Vatrapu; Jos van Hillegersberg / Sports Digitalization : A Review and a Research Agenda.
In: ICIS 2017 ProceedingsAtlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL) 2017 (Proceedings / International Conference on Information Systems (ICIS), Vol. 2017)
Article in proceedings
Lester Allan Lasrado; Ravi Vatrapu; Raghava Rao Mukkamala / Whose Maturity is it Anyway? : The Influence of Different Quantitative Methods on the Design and Assessment of Maturity Models.
In: ECIS 2017 ProceedingsAtlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL) 2017, p. 2918-2927 (Proceedings / European Conference on Information Systems (ECIS), Vol. 2017)
Article in proceedings
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
More results... (total 31 results)