• Eric Fosler-Lussier, "Low Resourced and long tailed conversational AI systems," Symposium on Natural Language Processing (NLP) and Simulation, October 2022  [PDF]

  • Ayaz Hyder, "Community-based Systems Modeling and Conversational Artificial Intelligence," Symposium on Natural Language Processing (NLP) and Simulation, October 2022  [PDF]

  • Dhabaleswar K. Panda, "Designing Next-Generation Intelligent Cyber-Infrastructure: An Overview of the NSF-AI ICICLE Institute," Monterey Data Conference, August 2022 [PDF]

  • Alfonso Morales, "Marketplaces and Dimensions of Food Law," Law and Society Association Session, July 2022 [PDF]

  • Patrick Huber, "Towards a California Conservation Planning Knowledge Graph: Building Connections Across the State," North American Congress for Conservation Biology, July 2022 [PDF]

  • Yu Su, "Will Graphs Lead to the Next Breakthrough of Conversational AI?" Workshop on Deep Learning on Graphs for Natural Language Processing, co-located with NAACL, July 2022 [PDF]

  • Beth Plale, "AI Trustworthiness: Detection and Minimization in AI Cyberinfrastructure," Keynote presentation at Helmholtz AI, June 2022 [PDF]

  • Dhabaleswar K. Panda, "Designing Next-Generation Intelligent CyberInfrastructure: An Overview of the NSF-AI ICICLE Institute," NIRTD MAGIC Seminar Series, June 2022 [PDF]

  • Dhabaleswar K. Panda, "Challenges and Opportunities in Designing High-Performance and Scalable Middleware for HPC and AI: Past, Present, and Future, Keynote Talk," Int'l Parallel and Distributed Processing Symposium (IPDPS), May 2022 [PDF]

  • Yu Su, "Emerging Frontiers of Conversational AI," Nanjing University, China, April 2022 [Video] [PDF]

  • Yu Su, "Emerging Frontiers of Conversational AI,", Inc. April 2022

  • Michelle Miller, "Alleviating information asymmetry in food supply chains," 63rd Annual Transportation Research Forum, April 2022 [PDF]

  • Dhabaleswar K. Panda, "Scalable Distributed Deep/Machine Learning: Challenges and Opportunities in Handling Societal Problems," McGill-PSC Precision Convergence Webinar Series, April 2022 [PDF]

  • Raghu Machiraju, "The Changing Landscape of Translational Research in Computer Science," Seminar, Department of  Food Agricultural and Biological Engineering, College of Food, Agriculture, and  Environmental Sciences, April 2022 [Video]
  • Raghu Machiraju, "ICICLE: Intelligent Cyberinfrastructure with Computational Learning in the Environment: A Reprise," Presentation to Intel Executives, March 2022

  • Song Gao, "Reflections on the Development of Spatially Explicit Methods for GeoAI, In the AAG," 2022 Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS: UCGIS GeoAI & CyberGIS Research Initiative - GeoAI and CyberGIS for Advancing Spatial Decision-Making Session, March 2022 


  • Patrick Huber, Matthew Lange, Dhabaleswar K. Panda, and Beth Plale, "Artificial Intelligence cyberinfrastructure for food and food systems," KnowFOOD-AI podcast, December 2021 [Video]

  • Dhabaleswar K. Panda, "Overview of the ICICLE Institute," SEAIP '21, December 2021 [PDF]
  • Vipin Chaudhary, Dhabaleswar K. Panda, Beth Plale, Rudi Eigenmann, "AI4CI4AI and CI4AI: Community Input for ICICLE," National Cyberinfrastructure for AI​,  SC '21, November 2021 [PDF]
  • Raghu Machiraju, "Role of Computing for Precision Medicine,"  Precision Convergence Webinar Series co-hosted by The McGill Centre for the Convergence of Health and Economics (MCCHE), October 2021 [PDF]
  • Raghu Machiraju, "Building a Community of Practice in Computational Pathology," Midwest Big Data Hub Regional Community Meeting, October 2021 [PDF]
  • Alfonso Morales, "On Wicked Opportunities in Climate and Food Systems," Micron Corporation Climate Week and Hispanic Heritage Month, October 2021 [PDF]
  • Dhabaleswar K. Panda, Vipin Chaudhary, Amit Majumdar, Joe Stubbs, "Overview of the ICICLE Institute," MUG, August 2021 [PDF]