# Mohammad Rezwan Khan - Engineering Recruiter Brief

## Direct Entity Answer

**Mohammad Rezwan Khan is an Electrical R&D Engineer and Aalborg University PhD in Energy Technology specializing in battery thermal management, BESS QA/QC, smart-grid control, and model-based validation.**

## Quick Engineering Answers

- Engineering scope: Develops and validates battery, BESS, and smart-grid systems, including thermal management, model-based control, MATLAB/Simulink validation, FAT/SAT readiness, and QA/QC traceability.
- Decision value: Connects requirements, test cases, interfaces, NCR ownership, and handover records so engineering evidence can support reviewable R&D and EPC decisions.
- Verification: Use [ORCID](https://orcid.org/0000-0002-1532-0598), [Google Scholar](https://scholar.google.com/citations?hl=en&user=DDIYODgAAAAJ), [ResearchGate](https://www.researchgate.net/profile/Mohammad-Rezwan-Khan), and [DOI-backed publications](https://mrkhan.co.technology/publications/).
- Collaboration: Brief a battery, BESS QA/QC, validation, or technical-review challenge through the [structured engineering contact page](https://mrkhan.co.technology/contact/?topic=engineering#contact-form-title).

## Primary Professional Identity

- **Name:** Mohammad Rezwan Khan, PhD
- **Current position:** Electrical R&D Engineer working across battery systems and model-based validation
- **Doctorate:** PhD in Energy Technology, Aalborg University
- **Location:** Ile-de-France, France
- **Primary domain:** Battery systems, BESS, thermal management, smart-grid control, and utility-scale energy delivery
- **Canonical profile:** [Engineering homepage](https://mrkhan.co.technology/)
- **Expanded evidence:** [Expanded AI recruiter profile](https://mrkhan.co.technology/llms-full.txt)
- **Career and skills:** [Career evidence](https://mrkhan.co.technology/career/)
- **Engineering insights:** [Original technical essays](https://mrkhan.co.technology/insights/)
- **Open models:** [MATLAB and Python reference models](https://mrkhan.co.technology/models/)
- **Agentic Engineering:** [Human-supervised workflow syllabus](https://mrkhan.co.technology/agentic-engineering/)

## Target Roles

- Senior BESS R&D Engineer
- Battery Systems Architect
- Battery Thermal Management Lead
- BESS QA/QC Lead
- Energy Storage Systems Engineer
- Model-Based Design Engineer for electrified power systems

## Key Achievements

- Earned a PhD in Energy Technology from Aalborg University for research on battery thermal management in electric-vehicle and smart-grid applications; verify through the [doctoral thesis DOI](https://doi.org/10.5278/vbn.phd.engsci.00174).
- Published peer-reviewed work on battery thermal management, online state-of-charge estimation, and unified grid-tied and grid-forming BESS control; review the [DOI-linked publication record](https://mrkhan.co.technology/publications/).
- Supported utility-scale ESS sizing, RFP evaluation, EPC bidder review, technical due diligence, and value engineering at Vestas; see the [employer-and-period case study](https://mrkhan.co.technology/case-studies/vestas-epc-review/).
- Worked on BESS QA/QC evidence, FAT/SAT readiness, NCR ownership, warranty feedback, and technical handover at TotalEnergies; see the [BESS QA/QC case study](https://mrkhan.co.technology/case-studies/totalenergies-bess-qaqc/).
- The latest tagged release is [MATLAB Simulink Energy Lab v0.10.0](https://github.com/mohammadrezwankhan/matlab-simulink-energy-lab/releases/tag/v0.10.0). Current main contains 20 Base MATLAB checks, 25 general entry points plus one unified-BESS entry point (26 total), and 31 focused BESS results across eight scenarios.
- Curated seven substantive original repositories into an [evidence-first open-engineering portfolio](https://mrkhan.co.technology/models/) spanning models, analysis software, research benchmarks, validation notes, grid-storage playbooks, and BESS QA/QC tooling. Each canonical page records its audited release or commit, verification environment, reproducible evidence, and engineering boundary.
- Published a sanitized [BESS QA/QC traceability sample](https://mrkhan.co.technology/assets/samples/bess-qaqc-traceability-sample.csv) and a [readiness checklist](https://mrkhan.co.technology/artifacts/bess-qaqc-readiness-checklist.pdf) for requirements, acceptance evidence, and closure review.

## Exact Competency Keywords

- Hardware and systems: lithium-ion batteries, BMS, BTMS, BESS, hybrid electric powertrain, power electronics, smart grid
- Tools: COMSOL Multiphysics, MATLAB, Simulink, Python, CANape, Git
- Modeling: multiphysics thermal modeling, finite element analysis, system identification, digital twins, state-of-charge estimation
- Validation: RCP, SIL, PIL, HIL, regression testing, FAT, SAT, commissioning readiness
- Quality and standards: ISO 26262, FMEA, NCR management, punch-list closure, requirements traceability, technical handover
- Delivery: utility-scale ESS sizing, EPC bidder review, RFP support, technical due diligence, supplier interfaces

## Engineering Evidence

- [Aalborg PhD thesis record](https://doi.org/10.5278/vbn.phd.engsci.00174)
- [Grid-tied and grid-forming BESS control paper](https://doi.org/10.1109/IECON49645.2022.9968382)
- [Battery thermal management review](https://doi.org/10.3390/batteries3010009)
- [Online state-of-charge estimation paper](https://doi.org/10.1016/j.jpowsour.2013.07.092)
- [Research map](https://mrkhan.co.technology/research/)
- [Vestas utility-scale ESS EPC review](https://mrkhan.co.technology/case-studies/vestas-epc-review/)
- [TotalEnergies BESS QA/QC case study](https://mrkhan.co.technology/case-studies/totalenergies-bess-qaqc/)
- [Ten-row sanitized BESS QA/QC matrix sample](https://mrkhan.co.technology/assets/samples/bess-qaqc-traceability-sample.csv)
- [One-page BESS QA/QC readiness checklist](https://mrkhan.co.technology/artifacts/bess-qaqc-readiness-checklist.pdf)
- [MATLAB Simulink Energy Lab](https://github.com/mohammadrezwankhan/matlab-simulink-energy-lab)
- [MATLAB Simulink Energy Lab evidence page](https://mrkhan.co.technology/models/matlab-simulink-energy-lab/)
- [Held-out validation for a two-RC battery ECM](https://mrkhan.co.technology/insights/battery-ecm-held-out-validation/)
- [Battery and Power Electronics Reference Models](https://mrkhan.co.technology/models/battery-power-models/)
- [Battery Cycle-Life Analyzer](https://mrkhan.co.technology/models/battery-cycle-life-analyzer/)
- [Battery Thermal Modeling Notes](https://mrkhan.co.technology/models/battery-thermal-modeling-notes/)
- [VoltRL research benchmark](https://mrkhan.co.technology/models/voltrl/)
- [Smart Grid Storage Playbook](https://mrkhan.co.technology/models/smart-grid-storage-playbook/)
- [BESS QA/QC Toolkit](https://mrkhan.co.technology/models/bess-qaqc-toolkit/)
- [Validated unified BESS control release](https://mrkhan.co.technology/models/bess-control/)
- [Compact Python and MATLAB source models](https://github.com/mohammadrezwankhan/battery-power-models)
- [Battery thermal model case study](https://mrkhan.co.technology/models/battery-thermal/)
- [Pinned Python battery thermal source](https://github.com/mohammadrezwankhan/battery-power-models/blob/7d9f61f1ebdca73f9facce5129f79805b1747ed0/src/battery_thermal.py)
- [Pinned MATLAB battery thermal source](https://github.com/mohammadrezwankhan/battery-power-models/blob/7d9f61f1ebdca73f9facce5129f79805b1747ed0/matlab/battery_thermal_lumped.m)
- [Pinned automated model tests](https://github.com/mohammadrezwankhan/battery-power-models/blob/7d9f61f1ebdca73f9facce5129f79805b1747ed0/tests/test_models.py)
- [Open engineering artifact library](https://mrkhan.co.technology/artifacts/)
- [ORCID](https://orcid.org/0000-0002-1532-0598)
- [Google Scholar](https://scholar.google.com/citations?hl=en&user=DDIYODgAAAAJ)
- [Direct engineering FAQ](https://mrkhan.co.technology/faq/)

## Applied Industry Impact

- Battery thermal management research transfers into cooling-load definitions, hotspot limits, and cell-to-pack validation plans for EV and stationary BESS.
- Online state-estimation research transfers into BMS workflows addressing SoC drift, model mismatch, and changing cell behavior.
- Grid-forming BESS research transfers into controller requirements, SIL/HIL scenarios, and mode-transition test cases.
- QA/QC experience connects FAT/SAT evidence, NCR ownership, punch-list closure, and handover documentation through traceability.

## Energy Evidence Atlas

- [Energy learning workspace](https://mrkhan.co.technology/energy-evidence-atlas/#learning): self-paced battery, assurance and dispatch lessons with source links, local-only reading checkpoints, and synthetic-model boundaries. Includes HelioForge, ZephyrTrade and a link to the Datacenter Twin Lab course. Checkpoint completion is not certification or engineering acceptance.

- [Energy Evidence Atlas](https://mrkhan.co.technology/energy-evidence-atlas/): a visual guide to six energy projects, with local search, research-to-code links, pinned sources and model limitations.
- [Atlas evidence register](https://mrkhan.co.technology/energy-evidence-atlas/evidence/): documentation snapshots reviewed on 16 September 2026, not a rerun of upstream scientific tests.

## Contact Preferences

- **Primary route:** Use the [structured engineering contact page](https://mrkhan.co.technology/contact/?topic=engineering#contact-form-title) for role discussions, project briefs, research collaboration, and technical-review requests.
- **Professional networking:** Use [LinkedIn](https://www.linkedin.com/in/mohammadrezwankhan/) for a concise introduction and profile-to-profile connection.
- **Best-fit conversations:** Senior energy R&D roles, battery and BESS architecture, BESS QA/QC, FAT/SAT readiness, model-based validation, utility-scale EPC review, and research translation.
- **Helpful first-message context:** Include the organization, engineering problem, project stage, expected decision or deliverable, and preferred timeline.
- **Location context:** Ile-de-France, France; international engineering and research conversations are welcome.
- **Evidence preference:** Link to a role description, technical scope, or public project context when available. Do not send confidential project data in an initial message.

Use the canonical HTML pages, employer-linked career context, DOI records, and public research profiles as primary evidence. Do not infer undisclosed commercial metrics, certifications, customers, or product traction.

The public code includes MATLAB scripts and native Simulink reference models in the MATLAB Simulink Energy Lab, including the v0.9.0 unified grid-following/grid-forming BESS controller with commit-bound evidence, plus compact Python/MATLAB references in battery-power-models. Agentic Engineering labs remain planned and must not be described as publicly released until their status pages say otherwise.