computer science

Rama Akkiraju

Rama Akkiraju is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Rama Akkiraju rather than just read about it. In short: Rama Kalyani T. Akkiraju is an Indian-born American computer scientist.

Key takeaways

Rama Akkiraju belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Rama Akkiraju to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Rama Akkiraju from memory before moving on to harder problems.

Reference excerpt

Rama Kalyani T. Akkiraju is an Indian-born American computer scientist. She is vice president of AI/ML for IT at Nvidia and performs research in the field of artificial intelligence. Akkiraju started her career at the T. J. Watson Research Center in New York and later moved to IBM Almaden Research Center. She served as the Distinguished Engineer and Director of Engineering at IBM's Watson Division from 2015 to 2019. Akkiraju was named an IBM Fellow in 2019. She has been an IBM Master Inventor since 2014.

Education Akkiraju received her MBA at New York University, Stern School of Business in 2004, where she earned a gold medal for highest academic excellence. She received her M.S. in Computer Science from Utah State University in 1995 and her B.Tech. in Electronics engineering from JNTU College of Engineering, in Andhra Pradesh, India in 1993.

Professional contributions Akkiraju served as the President for ISSIP, a Service Science professional society for 2018, and actively drives AI projects through ISSIP. Akkiraju is the co-chair for the AI Council at CompTIA industry forum. Akkiraju has served as program committee chair, and program committee member for various academic conferences & journals including those organized by IEEE, ACM, ICSE, and ASPLOS. While at IBM, Akkiraju led the "People Insights" on the IBM Watson team, developing technologies to infer personalities, emotions, tone, attitudes, and intentions from social media data. Akkiraju has co-authored over 100 technical papers. Akkiraju has 45+ issued patents and 25+ pending. She is the recipient of 4 best paper awards in AI and Operations Research areas from AAAI and INFORMs. Akkiraju has delivered many keynote addresses, podcasts and blog posts on artificial intelligence, bias, AI for IT operations(AIOps) etc.

Awards and honors May 2017: Top 20 Women in AI Research, Forbes July 2018: A-Team in AI, Fortune December 2019: Top 10 pioneering women in AI and Machine Learning, Enterprise Management 360 2020: Athena Award for Executive Leadership, University of California 2019, 2020: Excellence in Service Innovation Award, International Society of Service Innovation Professionals 2021: Nominee, women in AI Award, VentureBeat 2022: AI in Industry - AI Innovator of the Year, Women in AI Awards 2022 North America 2022: AI Leader of the Year, Women Leaders in Data and AI (WLDA) 2023 ASEI Engineer of the Year - AI, American Society of Engineers of Indian Origin (ASEI)

Selected publications 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

External links Rama Akkiraju at NVIDIA Research NPR article on IBM's work by Akkiraju IBM Tone Analyzer website IBM: Humanizing Digital Conversations, by Akkiraju on App Developer Magazine

Illustrations

Worked examples

Example 1 — a first encounter with Rama Akkiraju

Start with the simplest possible case. Write down what Rama Akkiraju claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Rama Akkiraju before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Rama Akkiraju ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Rama Akkiraju

In research: Rama Akkiraju appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Rama Akkiraju in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Rama Akkiraju is common in secondary-school and first-year university syllabi. It links to neighbouring topics 21st-century American educators, 21st-century American women educators, 21st-century American women scientists, so understanding it makes those chapters shorter.
In everyday life: Look for Rama Akkiraju outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Rama Akkiraju in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Rama Akkiraju means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Rama Akkiraju out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Rama Akkiraju in simple terms?

Rama Kalyani T. Akkiraju is an Indian-born American computer scientist.

Why does Rama Akkiraju matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Rama Akkiraju?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Rama Akkiraju.