Saraschandra KaranamHuman - AI Interactions Researcher · Enterprise AI

Saraschandra
Karanam, PhD

I study how people make decisions when technology becomes increasingly intelligent and complex

Human Decision-MakingHuman-AI SystemsEnterprise Technology
Saraschandra Karanam
14+

Years in Research

Leading and executing research strategy for complex enterprise systems.

40+

Research Studies

Mixed methods across enterprise technology, HCI, and human-AI systems.

30+

Peer Reviewed Publications

Peer-reviewed conference and journal articles in the domain of crowdsourcing and information search

5

Granted US Patents

Patented inventions in use of crowdsourcing for business process outsourcing

Research Programs

All Programs →

Three sustained programs exploring how people make decisions as technology becomes increasingly complex and intelligent.

01
Enterprise AI & Agentic Systems

"How do security professionals decide what to delegate to increasingly autonomous AI?"

2025–present · Cisco
02
Complex Enterprise Workflows

"How can technology empower domain experts to orchestrate complex infrastructure?"

2017–present · MathWorks + Cisco
03
Human Computation & Crowdsourcing

"How can business owners decide which crowdsourcing platform to choose to meet enterprise SLAs?"

2012–2014 · Xerox Research
Research Experiments

Explorations into new methods and applications of AI in research.

Experiment
AI-Augmented Research

"How can we use AI to help researcher's judgement?"

2025–present

Selected Publications

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Karanam, S. & Van Oostendorp, H. (2017). Age-related effects of task difficulty on the semantic relevance of query reformulations. Proceedings of the 16th IFIP TC 13 International Conference on Human-Computer Interaction INTERACT 2017, 77-96.[Link] Award
Karanam, S. & Van Oostendorp, H. (2016). Modeling Individual Differences in Information Search. Proceedings of the IndiaHCI conference 2016, 12-23. ACM.[Link] Award

Granted US Patents

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Karanam, S., Balamurugan, C., Gupta, N., & Piratla, N. (2017). Methods and system for crowdsourcing a task. U.S. Patent Application Number. 9,710,769. U.S. Patent and Trademark Office[US9710769B2]
Dasgupta, K., Rajan, V., Ponnavaikko, K., & Saraschandra, K. (2016). Method and system for recommending crowdsourcing platforms. U.S. Patent Application Number: 9,489,624, U.S. Patent and Trademark Office[US9489624B2]