Department of Digitalization

rrmdigi

Department of Digitalization

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


Room: HOW/60-2.sal
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
  • Cybersecurity and Cybersecurity Analytics
  • Blockchain-based technologies and Smart Contracts
  • Computational Social Science
  • Big Data Analytics and Social Data Analytics
  • Text Analytics and Natural Language Processing
  • Fuzzy Logic and Soft Computing
  • Formal methods for business processes and workflows
Social media
Links

Rsearch Profile

Link to this homepage
www.cbs.dk/en/staff/rrmdigi
Publications sorted by:
2023
Malte Bieler; Raghava Rao Mukkamala; Tor-Morten Grønli / A Context- and Trajectory-based Destination Prediction of Public Transportation Users
In: IEEE Intelligent Transportation Systems Magazine, Vol. 15, No. 1, 1.2023, p. 300-317
Journal article > peer review
Sippo Rossi; Youngjin Kwon; Odd Harald Auglend; Raghava Rao Mukkamala; Matti Rossi; Jason Bennett Thatcher / Are Deep Learning-Generated Social Media Profiles Indistinguishable from Real Profiles?
In: Proceedings of the 56th Hawaii International Conference on System Sciences. ed. /Tung X. Bui. Honolulu : Hawaii International Conference on System Sciences (HICSS) 2023, p. 134-143
Article in proceedings > peer review
Deepraj Chowdhury; Rupanjan Das; Risav Rana; Ashutosh Dhar Dwivedi; Pushpita Chatterjee; Raghava Rao Mukkamala / Autodeepslice : A Data Driven Network Slicing Technique of 5G Network using Automatic Deep Learning.
In: 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - ProceedingsLos Alamitos, CA : IEEE 2023, p. 450-454
Article in proceedings > peer review
Anil Agarwal; Ivar Aune; Raghava Rao Mukkamala; Rickard Sandberg / The Future of Data : How Nordic Companies Scale and Transform with Data and AI.
Maharashtra : Knowledge House Publishing 2023, 230 p.
Book
2022
Deepraj Chowdhury; Anik Das; Ajoy Dey; Shreya Sarkar; Ashutosh Dhar Dwivedi; Raghava Rao Mukkamala; Lakhindar Murmu / ABCanDroid : A Cloud Integrated Android App for Noninvasive Early Breast Cancer Detection Using Transfer Learning .
In: Sensors, Vol. 22, No. 3, 2.2022
Journal article > peer review
Tim Schurig; Sine Zambach; Raghava Rao Mukkamala; Malte Petry / Aspect-based Sentiment Analysis for University Teaching Analytics
In: Proceedings of the 30th European Conference on Information Systems (ECIS)Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL) 2022 (Proceedings of the European Conference on Information Systems)
Article in proceedings > peer review
Günter Prockl; Dominik Roeck; Thomas Jensen; Somnath Mazumdar; Raghava Rao Mukkamala / Beyond Task-technology Fit : Exploring Network Value of Blockchain Technology Based on Two Supply Chain Cases.
In: Proceedings of the 55th Hawaii International Conference on System Sciences. ed. /Tung Bui. Honolulu : Hawaii International Conference on System Sciences (HICSS) 2022, p. 5040-5049 (Proceedings of the Annual Hawaii International Conference on System Sciences)
Article in proceedings > peer review
Ashutosh Dhar Dwivedi; Rajani Singh; Uttam Ghosh; Raghava Rao Mukkamala; Amr Tolba; Omar Said / Privacy Preserving Authentication System based on Non-interactive Zero Knowledge Proof Suitable for Internet of Things
In: Journal of Ambient Intelligence and Humanized Computing, Vol. 13, No. 10, 10.2022, p. 4639-4649
Journal article > peer review
Rajani Singh; Ashutosh Dhar Dwivedi; Raghava Rao Mukkamala; Waleed S. Alnumay / Privacy-preserving Ledger for Blockchain and Internet of Things-enabled Cyber-physical Systems
In: Computers and Electrical Engineering, Vol. 103, 10.2022
Journal article > peer review
A. Brahmananda Reddy (Editor) ; B.V. Kiranmayee (Editor) ; Raghava Rao Mukkamala (Editor) ; K. Srujan Raju (Editor) / Proceedings of Second International Conference on Advances in Computer Engineering and Communication Systems. ICACECS 2021
Singapore : Springer Second International Conference on Advances in Computer Engineering and Communication Systems. ICACECS 2021, 2022, 599 p. (Algorithms for Intelligent Systems)
Anthology > peer review
More results... (total 73 results)
Research Projects
Outside activities

2018-2021:

Department of Technology, Kristiania University College, Norway: Part-time associate professorship (20%)

2021-2022:

Academic mentor for Prestige Education Foundation, India

2018-2019:

Academy of Finland: Review panel member for research funding proposals in the field ' Human Factors and Technology Design