rrmdigi

Department of Digitalization

  • Center for Business Data Analytics
Raghava Rao
Mukkamala
Associate professor
,
PhD


Room: HOW/60-2.01d
Mobile:
41852299
E-mail: rrm.digi@cbs.dk
Skype:
raomukkamala
Presentation

Raghava Mukkamala is an associate professor at the Department of Digitalization, Copenhagen Business School. He is also the Study Line Coordinator for the new Masters  Programme in Data Science (Cand.merc. (IT) – Data Science).

Raghava’s current research focus is on the 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.

In addition to the development and management of the new Masters  Programme in Data Science, he is also teaching several courses in the areas of programming, machine learning and blockchain technology.  

Raghava holds a Ph.D. degree in Computer Science and an 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 years of programming and IT development experience from the Danish IT industry.

Primary research areas
  • Blockchain based Technologies and Smart Contracts
  • Computational Social Science
  • Big Data Analytics and Social Data Analytics
  • Text Analytics and Natural Language Processing
  • Data Mining and Machine Learning
  • Fuzzy Logic and Soft Computing
  • Formal methods for business processes and workflows
Social media
Links
Link to this homepage
www.cbs.dk/en/staff/rrmdigi
Publications sorted by:
2019
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.
In: Journal of Medical Internet Research, Vol. 21, No. 6, 2019
Journal article > peer review
Benedict Faber; Georg Michelet; Niklas Weidmann; Raghava Rao Mukkamala; Ravi Vatrapu / BPDIMS : A Blockchain-based Personal Data and Identity Management System.
In: Proceedings of the 52nd Hawaii International Conference on System SciencesHonolulu : Hawaii International Conference on System Sciences (HICSS) 2019, p. 6855-6864 (Proceedings of the Annual Hawaii International Conference on System Sciences)
Article in proceedings > peer review
Raghava Rao Mukkamala; Ravi Vatrapu; Pradeep Kumar Ray; Gora Sengupta; Sankar Halder / Converging Blockchain and Social Business for Socio-Economic Development
In: Proceedings of the 2018 IEEE International Conference on Big Data. ed. /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, p. 3039-3048
Article in 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
In: Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019): Volume 3: KMIS. . ed. /Jorge Bernardino; Ana Salgado; Joaquim Filipe. Setúbal : SCITEPRESS Digital Library 2019, p. 176-186
Article in 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.
In: Proceedings of 2018 IEEE International Conference on Big Data. ed. /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, p. 5153-5158
Article in proceedings > peer review
Hao Hua Sun Yin; Klaus Langenheldt; Mikkel Harlev; Raghava Rao Mukkamala; Ravi Vatrapu / Regulating Cryptocurrencies : A Supervised Machine Learning Approach to De-Anonymizing the Bitcoin Blockchain.
In: Journal of Management Information Systems, Vol. 36, No. 1, 2019, p. 37-73
Journal article > peer review
Jayesh Prakash Gupta ; Hannu Kärkkäinen; Osku Torro; Raghava Rao Mukkamala / Revisiting Social Media Tie Strength in the Era of Data Access Restrictions
In: Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019): Volume 3: KMIS. . ed. /Jorge Bernardino; Ana Salgado; Joaquim Filipe. Setúbal : SCITEPRESS Digital Library 2019, p. 187-194
Article in proceedings > peer review
2018
Fie Sternberg; Kasper Hedegaard Pedersen; Niklas Klve Ryelund; Raghava Rao Mukkamala; Ravi Vatrapu / Analysing Customer Engagement of Turkish Airlines Using Big Social Data
In: Proceedings of the 7th IEEE International Congress on Big Data: BigData Congress 2018. . ed. /Shadi Ibrahim; Isaac Triguero; Bingsheng He. Los Alamitos, CA : IEEE 2018, p. 74-81
Article in proceedings > peer review
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.
In: International Journal of Entrepreneurship and Small Business, Vol. 33, No. 4, 2018, p. 575-606
Journal article > peer review
Raghava Rao Mukkamala; Ravi Vatrapu; Pradeep Kumar Ray; Gora Sengupta; Sankar Halder / Blockchain for Social Business : Principles and Applications.
In: IEEE Engineering Management Review, Vol. 46, No. 4, 12.2018, p. 94-99
Journal article > peer review
More results... (total 50 results)
Outside activities

2018-2019:

  • Department of Technology, Kristiania University College, Norway: Part-time associate professorship (20%)
  • Aalborg University CPH Campus: Lectures in Big Data and Machine Learning for the students of Autonomous Systems Master Programme
  • Academy of Finland: Review panel member for research funding proposals in the field ' Human Factors and Technology Design'