Event organised2024
IEEE IAS DL Lecture
- Industry, Innovation and Infrastructure
- Sustainable Cities and Communities
- Partnerships for the Goals
- Innovation, Science and Technology
The record
- Type
- Event organised
- Date
- 12 July 2024
- Level
- International — held abroad
- School
- Reporting cycle
- 2024
- Theme
- Intelligent Power Management and Control of Electric Drive in Electric Vehicle using Reinforcement L
- Duration
- 1. Less than or equal to 2 days
- Collaborating agency
- IEEE
- Recorded outcome
- Academic Development & Collaborations
- People attending
- 45
- Resource people
- 1
- People organising
- 1
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
IEEE distinguished lecture on intelligent power management and control of electric vehicle drives using reinforcement learning.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-opus-5[1m], under kortex-input-v1+rubric@1.1.0#7bc5877481c9Input template kortex-input-v1; rubric 1.1.0. Each can change without the others, which is why the version is a composite.
11.2 Provide access to safe, affordable, accessible and sustainable transport systems for all
IEEE distinguished lecture on intelligent power management and control of electric vehicle drives using reinforcement learning.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-opus-5[1m], under kortex-input-v1+rubric@1.1.0#7bc5877481c9Input template kortex-input-v1; rubric 1.1.0. Each can change without the others, which is why the version is a composite.
17.16 Enhance the global partnership for sustainable development, complemented by multi-stakeholder partnerships
Structural signal: held outside India; collaboration with IEEE; involvement of undefined.
- Certain confidence
- The record states the subject matter explicitly. A reader shown only the title and this goal would agree without hesitation. Example: a workshop titled "Renewable Energy and Smart Grid" against SDG 7.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- sdg17-structural-v1, under kortex-input-v1+rubric@1.1.0#7bc5877481c9Input template kortex-input-v1; rubric 1.1.0. Each can change without the others, which is why the version is a composite.
Viksit Bharat @2047
vb-3 Innovation, Science and Technology
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 9 label. IEEE distinguished lecture on intelligent power management and control of electric vehicle drives using reinforcement learning.
- Produced by
- claude-opus-5[1m], under kortex-input-v1+rubric@1.1.0#7bc5877481c9Input template kortex-input-v1; rubric 1.1.0. Each can change without the others, which is why the version is a composite.
Records of this type were classified by individual judgment against the published rubric, over 1,101 activities. Each label above carries the rubric version it was produced under. How each classification is reached.
Evidence
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No outbound evidence link is recorded for this activity. The record below states which source it came from and when it was last read.
Provenance
Which source system this record came from, how many source rows were resolved into it, and when each was last read.
- Source rows resolved into this record
- 1
- Source records held
- 1
| Source system | Reference | Last read |
|---|---|---|
| KIIT PBAS reporting workbook, 2024 cycle | Event Organized - 2024!262 |
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KIIT Deemed to be University. “IEEE IAS DL Lecture”. Kortex. Last read 17 September 2026.