Department of Digitalization

rrmdigi

Department of Digitalization

  • Center for Business Data Analytics
Raghava Rao
Mukkamala
Lektor
,
PhD


Kontor: HOW/60-2.sal
Mobil:
41852299
E-mail: rrm.digi@cbs.dk
Skype:
raomukkamala
rrmdigi
Præsentation

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.

Primære forskningsområder
  • 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
Sociale medier
Links

Rsearch Profile

Link til denne hjemmeside
www.cbs.dk/staff/rrmdigi
Publikationer sorteret efter:
2023
Malte Bieler; Raghava Rao Mukkamala; Tor-Morten Grønli / A Context- and Trajectory-based Destination Prediction of Public Transportation Users
I: IEEE Intelligent Transportation Systems Magazine, Vol. 15, Nr. 1, 1.2023, s. 300-317
Tidsskriftartikel > 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?
I: Proceedings of the 56th Hawaii International Conference on System Sciences. red. /Tung X. Bui. Honolulu : Hawaii International Conference on System Sciences (HICSS) 2023, s. 134-143 (Proceedings of the Annual Hawaii International Conference on System Sciences)
Konferencebidrag i proceedings > peer review
Raghava Rao Mukkamala; Robert J. Kauffman; Helle Zinner Henriksen / Champions for Social Good : How Can We Discover Social Sentiment and Attitude-driven Patterns in Prosocial Communication?.
I: Journal of the Association for Information Systems, 16.2.2023
Tidsskriftartikel > peer review
Rickard Sandberg; Raghava Rao Mukkamala; Anil Agarwal; Ivar Aune; Magnus Carlsson; Samay Mir; Roosa Säntti; Thomas Scahn; Caroline Wilhelmsen / The Future of Data : How Nordic Companies Scale and Transform with Data and AI.
Maharashtra : Knowledge House Publishing 2023, 230 s.
Bog
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 .
I: Sensors, Vol. 22, Nr. 3, 2.2022
Tidsskriftartikel > peer review
Tim Schurig; Sine Zambach; Raghava Rao Mukkamala; Malte Petry / Aspect-based Sentiment Analysis for University Teaching Analytics
I: 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)
Konferencebidrag i 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.
I: 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - ProceedingsLos Alamitos, CA : IEEE 2022, s. 450-454
Konferencebidrag i 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.
I: Proceedings of the 55th Hawaii International Conference on System Sciences. red. /Tung Bui. Honolulu : Hawaii International Conference on System Sciences (HICSS) 2022, s. 5040-5049 (Proceedings of the Annual Hawaii International Conference on System Sciences)
Konferencebidrag i proceedings > peer review
Abhimanyu Bhowmik; Madhushree Sannigrahi; Deepraj Chowdhury; Ashutosh Dhar Dwivedi; Raghava Rao Mukkamala / DBNex : Deep Belief Network and Explainable AI based Financial Fraud Detection.
I: Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022 . red. /Shusaku Tsumoto; Yukio Ohsawa; Lei Chen; Dirk Van den Poel; Xiaohua Hu; Yoichi Motomura; Takuya Takagi; Lingfei Wu; Ying Xie; Akihiro Abe; Vijay Raghavan. Los Alamitos, CA : IEEE 2022, s. 3033-3042
Konferencebidrag i 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
I: Journal of Ambient Intelligence and Humanized Computing, Vol. 13, Nr. 10, 10.2022, s. 4639-4649
Tidsskriftartikel > peer review
Flere resultater ...(i alt 75 )
Forskningsprojekter
Bibeskæftigelse

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