PhD Dissertation Supervision Meeting Log

Template Overview

A doctoral dissertation is a multi-year intellectual marathon. The relationship between a PhD candidate and their thesis advisor is the critical axis of doctoral success. Yet, supervision meetings frequently suffer from unstructured discussions, conflicting verbal feedback, and lost research commitments.

A structured Doctoral Supervision Meeting Log creates mutual clarity: documenting progress since the last meeting, capturing advisor critiques, reviewing experimental results, and locking down next-month research milestones.

This template provides an academic supervision framework: thesis chapter status, theoretical feedback, laboratory milestone tracking, conference submission deadlines, and accountable doctoral action items.

Markdown Template Structure

Copy the block below or click Download .md File to add this template directly to your personal vault:

---
title: "PhD Supervision: [Candidate Name] & [Advisor Name]"
date: [YYYY-MM-DD]
phd_candidate: "[[Candidate Name]]"
principal_advisor: "[[Prof. Marcus Vance]]"
co_advisor: "[[Prof. Elena Rostova]]"
dissertation_title: "Sovereign On-Device Natural Language Understanding in Zero-Network Environments"
supervision_session_number: 28
candidacy_stage: "Dissertation Chapter Drafting & Empirical Validation"
tags: [phd, supervision, dissertation, academic, research, doctorate]
---

# PhD Supervision: [Candidate Name] & [Advisor Name] — [YYYY-MM-DD]

## 1. Dissertation Chapter Progress Overview
| Chapter | Chapter Title / Topic | Current Status | Target Completion | Advisor Sign-Off |
| :--- | :--- | :--- | :--- | :--- |
| Chapter 1 | Introduction & Data Sovereignty Foundations | 🟢 Final Draft | Completed | Approved |
| Chapter 2 | Literature Review on Local LLM Quantization | 🟢 Final Draft | Completed | Approved |
| Chapter 3 | High-Efficiency CoreAudio Kernel Buffer Ingestion | 🟡 In Revision | 2026-11-15 | Feedback Received |
| Chapter 4 | Empirical Evaluation: Apple Silicon Neural Engine | 🔵 Drafting | 2026-12-20 | Pending |
| Chapter 5 | Discussion, Privacy Guarantees & Conclusion | ⚪ Outlined | 2027-02-01 | Pending |

## 2. Research Progress & Experimental Findings
- **Progress Since Last Session:** Completed 4-bit vs 8-bit weight quantization benchmarks across M-series unified memory.
- **Key Empirical Discovery:** 4-bit AWQ quantization reduced memory footprint by 58% while retaining 98.4% of full-precision BLEU translation accuracy.
- **Methodological Challenge:** P99 inference latency spikes when macOS triggers thermal throttling under prolonged load.

## 3. Advisor Feedback & Critical Guidance
### [[Prof. Marcus Vance]]
- "Your empirical benchmark results in Chapter 3 are compelling, but your theoretical framing needs tightening. Emphasize why hardware-aware kernel optimization is mathematically distinct from traditional post-training pruning."
- *Action Required:* Expand Section 3.2 with formal memory-bandwidth ceiling calculations using the Roofline model.

### [[Prof. Elena Rostova]]
- "Submit the Chapter 4 preliminary findings to the upcoming ACM SIGOPS Conference on Operating Systems. Draft paper by November 1st."

## 4. Conference Submissions & Academic Deadlines
- **ACM SIGOPS Submission Deadline:** 2026-11-01 (Paper title: *Zero-Egress Audio Understanding on Unified Architectures*).
- **Target Thesis Defense Window:** May 2027.

## 5. Agreed Next Actions for Candidate
- [ ] Add formal Roofline memory bandwidth model derivation to Chapter 3 draft.
- [ ] Run 8-hour continuous thermal stress test on base M1 hardware.
- [ ] Deliver draft conference paper to advisors by October 25th.
- [ ] Schedule next supervision checkpoint for [[YYYY-MM-DD]].

Filled Real-World Example

Here is a realistic example demonstrating how this template captures actual deliberations:

---
title: "Supervision: Session 28 Marcus Vance"
date: 2026-10-06
phd_candidate: "Alex Rivera"
principal_advisor: "Prof. Marcus Vance"
tags: [phd, supervision]
---

# Supervision: Session 28 Marcus Vance — October 6, 2026

## 1. Summary
Reviewed Chapter 3 revisions. Advisor approved quantization benchmarks.

## 2. Direction
Incorporate Roofline performance model to explain thermal throttling limits. Submit draft to ACM SIGOPS.

When to Use and When to Avoid

When to Use

• Use during recurring PhD dissertation supervision meetings and graduate advisory check-ins.
• Use to track thesis chapter writing progress and formal advisor feedback.
• Use to manage academic conference deadlines, journal publications, and dissertation defense targets.

When to Avoid

• Avoid using for undergraduate classroom course notes (use [[cornell-notes-lecture]]).
• Avoid using for corporate employee management 1-on-1s (use [[weekly-manager-direct-1-on-1]]).

On-Device AI Integration

Capture doctoral supervision sessions with Oyma on macOS:

Analyze the PhD supervision meeting audio transcript:
1. Synthesize dissertation metadata, candidate/advisor names, and current candidacy stage.
2. Build the chapter progress table displaying current writing status and target completion dates.
3. Group advisor feedback, theoretical critiques, and required manuscript revisions.
4. Record upcoming academic conference deadlines, journal submissions, and student commitments.
Output in disciplined, scholarly CommonMark.

Your unpublished dissertation research and advisor dialogues remain safely on your Mac’s encrypted storage.