Rama Akkiraju

From Wikipedia, the free encyclopedia

Rama Akkiraju is a computer scientist at the IBM Almaden Research Center, home of the Watson computer.[1] She performs research in the field of artificial intelligence, particularly helming the team responsible for the "Tone Analyzer".[2][3] She leads the mission of "People Insights" at IBM, developing "technologies that infer personalities, emotions, tone, attitudes, and intentions from social media data using linguistic and machine learning techniques".[4]

In 2019 IBM listed her as an IBM Fellow.[5]

Selected research[]

  • Akkiraju, Rama, Joel Farrell, John A. Miller, Meenakshi Nagarajan, Amit P. Sheth, and Kunal Verma. "Web service semantics-wsdl-s." (2005).
  • Doshi, Prashant, Richard Goodwin, Rama Akkiraju, and Kunal Verma. "Dynamic workflow composition: Using markov decision processes." International Journal of Web Services Research (IJWSR) 2, no. 1 (2005): 1-17.
  • Akkiraju, Rama, Richard Goodwin, Prashant Doshi, and Sascha Roeder. "A Method for Semantically Enhancing the Service Discovery Capabilities of UDDI." In IIWeb, pp. 87–92. 2003.
  • Elmeleegy, Hazem, Anca Ivan, Rama Akkiraju, and Richard Goodwin. "Mashup advisor: A recommendation tool for mashup development." In 2008 IEEE International Conference on Web Services, pp. 337–344. IEEE, 2008.

References[]

  1. ^ Melling, Jade (2019-04-29). "Top 10 Pioneering Women in AI and Machine Learning". EM360. Retrieved 2019-11-20.
  2. ^ Cantú, Aaron; Joseph, George. "Trump's Border Security May Search Your Social Media by 'Tone'". The Nation. Retrieved 6 October 2019.
  3. ^ Matchar, Emily. "IBM's Tone Analyzer Could Save You From Sending That Awkward Email". Smithsonian Magazine. Retrieved 6 October 2019.
  4. ^ Yao, Mariya. "Meet These Incredible Women Advancing A.I. Research". Forbes. Retrieved 6 October 2019.
  5. ^ 2019 IBM Fellow Rama Akkiraju, IBM, retrieved 2019-10-26

External links[]

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