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
rrmdigi
Presentation

Raghava Mukkamala is the director of the Centre for Business Data Analytics (https://cbsbda.github.io/), 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:
2020
Aseem Kinra; Kim Sundtoft Hald; Raghava Rao Mukkamala; Ravi Vatrapu / An Unstructured Big Data Approach for Country Logistics Performance Assessment in Global Supply Chains
In: International Journal of Operations and Production Management, Vol. 40, No. 4, 2020, p. 439-458
Journal article > peer review
Gayathri Rajakumaran; Neelanarayanan Venkataraman; Raghava Rao Mukkamala / Denial of Service Attack Prediction Using Gradient Descent Algorithm
In: SN Computer Science, Vol. 1, No. 1, 1.2020
Journal article > peer review
Monica Mundada; Raghava Rao Mukkamala / Smart Cities for Sustainability : An Analytical Perspective.
In: Proceedings of the World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2020). ed. /Xin-She Yang; Simon James Fong; Moisés Toapanta; Ion Andronache; Niko Phillips. Los Alamos, CA : IEEE 2020, p. 770-775
Article in proceedings > peer review
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
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
In: Proceedings of 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). ed. /Illhoi Yoo; Jinbo Bi; Xiaohua Hu. Piscataway, NJ : IEEE 11.2019, p. 2673-2681
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
Nadiya Straton; Raymond Ng; Hyeju Jang; Ravi Vatrapu; Raghava Rao Mukkamala / Predictive Modelling of Stigmatized Behaviour in Vaccination Discussions on Facebook
In: Proceedings of 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). ed. /Illhoi Yoo; Jinbo Bi; Xiaohua Hu. Piscataway, NJ : IEEE 11.2019, p. 2561-2568
Article in proceedings > peer review
More results... (total 55 results)
Research Projects
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'