Disseminate: The Computer Science Research Podcast

Disseminate targets computer science researchers with a focus on practical impact. For PRs, it offers access to senior academics and rising researchers across cutting-edge topics; ideal for credentialed thought-leadership placements and tech-forward storytelling. Booking leverage rests on research impact, conference credentials, and availability for in-depth technical discussion.

85 episodes, Irregular, 5.0 rating

<1k, Male, USA

info+629a6154b4e1e70012764c00@mg-eu.acast.com

This podcast features interviews with Computer Science researchers. Hosted by Dr. Jack Waudby researchers are interviewed, highlighting the problem(s) they tackled, solutions they developed, and how their findings can be applied in practice. This podcast is for industry practitioners, researchers, and students, aims to further narrow the gap between research and practice, and to generally make awesome Computer Science research more accessible. We have 2 types of episode: (i) Cutting Edge (red/blue logo) where we talk to researchers about their latest work, and (ii) High Impact (gold/silver logo) where we talk to researchers about their influential work.You can support the show through&nbsp;Buy Me a Coffee.&nbsp;A donation of $3 will help us keep making you awesome Computer Science research podcasts.&nbsp; Hosted on Acast. See acast.com/privacy for more information.

Dr. Jack Waudby

Education, Technology, Science, Business

PhD students, researchers, professors and industry researchers with publications in top CS venues; demonstrated research impact

conference papers (e.g., OOPSLA, EuroSys), awards/distinctions (e.g., ACM SIGSOFT Distinguished Paper), leadership in research projects or artifact evaluations, notable open-source contributions

Rohan Padhye - Fray Design, Concurrency Bug Patterns, Bridging Research And Practice, Ao Li - Fray: General-purpose Concurrency Testing For The Jvm; Real-world Bug Examples In Kafka, Lucene, Guava, Shrey Tiwari - Date And Time Bugs In Open-source Python Software; Empirical Study; Industry Experiences At Citrix And MSR, Anjo Vahldiek-Oberwagner - Artifact Evaluation Processes, Community Guidelines, Miguel Matos - Artifact Evaluation Challenges, Reproducibility, Standards

concurrency testing, JVM, artifact evaluation, software reliability, date/time bugs, Python, SMT solvers, grammar-based enumeration, data transfer, vector search, embeddings, DuckDB, FAISS, reproducibility