Institut for digitalisering

rrmdigi

Institut for digitalisering

Raghava Rao
Mukkamala
Lektor
,
PhD


Kontor: HOW/60-2.12
Mobil:
41852299
E-mail: rrm.digi@cbs.dk
Skype:
raomukkamala
Præsentation

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.

Primære forskningsområder
  • 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
Sociale medier
Links

Website

Link til denne hjemmeside
www.cbs.dk/staff/rrmdigi
Kurser
  • Big Data Analytics (Data-in-Business Minor)
  • Big Social Data Analytics
  • Social Media Management
     
Publikationer sorteret efter:
2018
Fie Sternberg; Kasper Hedegaard Pedersen; Niklas Klve Ryelund; Raghava Rao Mukkamala; Ravi Vatrapu / Analysing Customer Engagement of Turkish Airlines Using Big Social Data
I: Proceedings of the 7th IEEE International Congress on Big Data: BigData Congress 2018. . red. /Shadi Ibrahim; Isaac Triguero; Bingsheng He. Los Alamitos, CA : IEEE 2018, s. 74-81
Konferencebidrag i 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.
I: International Journal of Entrepreneurship and Small Business, Vol. 33, Nr. 4, 2018, s. 575-606
Tidsskriftartikel > peer review
Mikkel Alexander Harlev; Haohua Sun Yin; Klaus Christian Langenheldt; Raghava Rao Mukkamala; Ravi Vatrapu / Breaking Bad : De-Anonymising Entity Types on the Bitcoin Blockchain Using Supervised Machine Learning.
I: Proceedings of the 51st Hawaii International Conference on System Sciences 2018Honolulu : Hawaii International Conference on System Sciences (HICSS) 2018, s. 3497-3506 (Proceedings of the Annual Hawaii International Conference on System Sciences)
Konferencebidrag i proceedings > peer review
Paulius Juodisius; Atrisha Sarkar; Raghava Rao Mukkamala; Michal Antkiewicz; Krzysztof Czarnecki; Andrzej Wasowski / Clafer : Lightweight Modeling of Structure, Behaviour, and Variability.
I: The Art, Science, and Engineering of Programming, Vol. 3, Nr. 1, 23.7.2018
Tidsskriftartikel > peer review
Milla Siikanen; Kęstutis Baltakys; Juho Kanniainen; Ravi Vatrapu; Raghava Rao Mukkamala; Abid Hussain / Facebook Drives Behavior of Passive Households in Stock Markets
I: Finance Research Letters, 23.3.2018
Tidsskriftartikel > peer review
Qi An; Morten Grimmig Christensen; Annith Ramachandran; Raghava Rao Mukkamala; Ravi Vatrapu / Volkswagen’s Diesel Emission Scandal : Analysis of Facebook Engagement and Financial Outcomes.
I: Big Data – BigData 2018: 7th International Congress, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25–30, 2018, Proceedings. . red. /Francis Y. L. Chin; C. L. Philip Chen; Latifur Khan; Kisung Lee; Liang-Jie Zhang. Cham : Springer 2018, s. 260-276 (Lecture Notes in Computer Science, Vol. 10968)
Konferencebidrag i proceedings > peer review
2017
Benjamin Flesch; Ravi Vatrapu; Raghava Rao Mukkamala / A Big Social Media Data Study of the 2017 German Federal Election Based on Social Set Analysis of Political Party Facebook Pages with SoSeVi
I: Proceedings. 2017 IEEE International Conference on Big Data: IEEE Big Data 2017. . red. /Jian-Yun Nie; Zoran Obradovic; Toyotaro Suzumura; Rumi Ghosh; Raghunath Nambiar; Chonggang Wang; Hui Zang; Ricardo Baeza-Yates; Xiaohua Hu; Jeremy Kepner; Alfredo Cuzzocrea; Jian Tang; Masashi Toyoda. Los Alamitos, CA : IEEE 2017, s. 2638-2647
Konferencebidrag i proceedings > peer review
Jonathan-Raphael Reichert; Klaus Langholz Kristensen; Raghava Rao Mukkamala; Ravi Vatrapu / A Supervised Machine Learning Study of Online Discussion Forums about Type-2 Diabetes
I: 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom). red. /Hsi Pin Ma; Baofeng Wang. Los Alamos, CA : IEEE 2017, s. 1-7
Konferencebidrag i proceedings > peer review
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.
I: Proceedings of the 6th IEEE International Congress on Big Data. BigData Congress 2017. red. /George Karypis; Jia Zhang. Los Alamitos, CA : IEEE 2017, s. 89-96
Konferencebidrag i proceedings > peer review
Nadiya Straton; Raghava Rao Mukkamala; Ravi Vatrapu / Big Social Data Analytics for Public Health : Comparative Methods Study and Performance Indicators of Health Care Content on Facebook.
I: Proceedings. 2017 IEEE International Conference on Big Data: IEEE Big Data 2017. . red. /Jian-Yun Nie; Zoran Obradovic; Toyotaro Suzumura; Rumi Ghosh; Raghunath Nambiar; Chonggang Wang; Hui Zang; Ricardo Baeza-Yates; Xiaohua Hu; Jeremy Kepner; Alfredo Cuzzocrea; Jian Tang; Masashi Toyoda. Los Alamitos, CA : IEEE 2017, s. 2772-2777
Konferencebidrag i proceedings > peer review
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