Skill UI

This advanced tutor covers a wide range of university-level STEM subjects, including Computer Science, AI/ML, Physics, Chemistry, and Engineering. It moves beyond rote memorization, focusing instead on developing deep conceptual understanding and transferable problem-solving skills. The methodology emphasizes Socratic questioning, first principles reasoning, and diagnosing the root cause of knowledge gaps across disciplines.

This comprehensive guide helps authors strategically position their computer security manuscripts for the ACM Conference on Computer and Communications Security (CCS). It details topic fit, required threat modeling, evidence presentation, and critical comparisons with sister venues (e.g., S&P, USENIX Security). It serves as a high-level 'fit/framing' tool for maximizing submission success in core areas like privacy, cryptography, and systems security.

This skill serves as a comprehensive guide for authors targeting the ACM/IEEE MODELS conference. It provides deep, strategic insights into model-driven engineering, modeling languages, transformations, and DSLs. Use it to re-frame manuscripts, check evidence requirements, and optimize the submission strategy for this top-tier computer science venue.

A comprehensive guide for authors targeting the ACM/IEEE Symposium on Logic in Computer Science (LICS). This tool helps evaluate manuscript fit, refine the narrative, and structure evidence (proofs, theorems, artifacts) specifically for LICS, ensuring the work aligns with foundational logic and theoretical CS standards. Use it when submitting highly theoretical papers to this top-tier venue.

A comprehensive guide for authors evaluating whether their computer networking manuscript is a strong fit for the ACM SIGCOMM conference. It covers proper paper framing, required technical scope, necessary evidence (e.g., measurement and implementation), and how to position the work against peer venues like INFOCOM and NSDI. Use this when preparing a paper for a major networking conference.

This skill guides authors and researchers on how to strategically position their computer graphics, rendering, or visual computing work for the ACM SIGGRAPH conference. It covers core fit assessment, required evidence (visual, mathematical, or system), manuscript reframing from journal/arXiv styles, and navigating venue-specific submission requirements. Use this tool to improve your conference submission strategy and maximize visibility among top graphics reviewers.

This skill serves as a specialized guide for authors submitting computer science manuscripts to ACM SIGMETRICS. It helps users assess the fit of their research, particularly those involving performance measurement, queueing theory, or system modeling. It provides detailed strategies on reframing the core contribution, defining the evidence bar, and positioning the work optimally for a highly selective conference.

A comprehensive guide for researchers to determine the optimal venue for their computer systems paper. It teaches the critical differences between broad, practical conferences (like ATC) and selective, specialized venues (like OSDI, SOSP, or NSDI). The guide helps authors assess whether their work is novel, useful, focused on deployed experience, or requires specific networking/storage expertise.

This guide outlines the comprehensive process for submitting and evaluating Computer Aided Verification (CAV) research artifacts. It details the criteria for earning three badges (Available, Functional, Reusable), the two-phase review structure (smoke-test and full review), and best practices for packaging scientific tools, including the use of containers, pinned benchmarks, resource limits, and proof witnesses. This ensures reproducibility and rigor in academic research.

This skill provides a comprehensive pre-submission checklist for determining if a computer science research topic is suitable for a major journal, such as the Chinese Journal of Computers (CJC). It guides users on assessing topic coherence, originality increment, manuscript type selection, and differentiating between various specialized journals, ensuring submissions meet high academic standards.

This guide outlines the standards for ensuring the verifiability and rigor of theoretical computer science papers, particularly for venues like ICDT. It mandates complete proofs, precise pinning of models and assumptions, explicit matching of upper and lower bounds, and strict internal consistency across all claims and full versions. Use this checklist before submission to elevate academic quality.

This guide helps authors properly structure and position computer science manuscripts for submission to the IEEE International Symposium on Mixed and Augmented Reality (ISMAR). It covers conference fit assessment, required evidence (system, user, perceptual validation), effective paper framing, and strategic advice on rebuttal and scope definition within the AR/MR domain, ensuring the work meets top-tier venue expectations.