AI & Mobility Technology Leader · IEEE Senior Member · PhD, IIT Delhi · Postdoc, TU Delft
I turn deep-tech research into deployed platforms — ten live AI systems spanning EV, grid, software-defined vehicles, rail and smart cities, each built on published standards and a validated business case.
Dr. Rahul Kumar Dubey is an AI & Mobility Technology Leader with 15+ years building end-to-end AI platforms across EV, e-mobility, energy and industrial systems — from ideation to scalable deployment.
Track record spanning multi-year roadmaps, business cases and agentic AI systems with multi-million-euro P&L impact. PhD (EE), IIT Delhi; Postdoctoral Fellow, TU Delft (EU MIGRATE, IEC 61850). Prior R&D at ABB Ability (digital substations) and collaborative research with European TSOs — RTE France and ELERING Estonia.
14+ patents and 70+ publications in IEEE journals and conferences (impact factors up to ~14). PhD supervision at IIT Delhi, IIT Madras and IISc; Adjunct Faculty at MIT Manipal. Leads the ANRF–MAHA national initiative — coordinating IP strategy, R&D funding and governance across Bosch, the IITs, DST, SERB and AICTE.
Each spans a real domain — EV, grid, SDV, rail, smart city, circular economy — built on published standards with a validated business use case. Click any to open the live system.
RAG-based DTC fault diagnosis with LLM reasoning and human-in-the-loop validation; OTA firmware management via digital-twin pre-simulation, mTLS API gateway and ISO 26262 HARA traceability.
HiL-grade grid digital twin — load-flow, fault propagation and DER-integration scenarios, IEEE 2030 and IEC 61850 compliant.
DERMS with V2G dispatch, real-time demand response and ancillary-services market participation, with sub-100 ms command latency.
Software-defined-vehicle governance: OTA lifecycle, AUTOSAR module compliance and feature-flag management — ASPICE-aligned and ISO 21434 cybersecurity-ready.
Mixed-criticality RTOS platform with ASIL-D decomposition, HAL abstraction and runtime diagnostics — ISO 26262 validated.
Digital product passport for electronics — RUL-based residual-value scoring, refurbishment grading and EU-CRD-aligned lifecycle credentials.
Cell-level degradation modelling for second-life routing — stationary storage vs grid buffer — with full material provenance via a digital battery passport.
Multi-stream computer vision — ANPR, helmet/seatbelt detection and behavioural-anomaly AI — with automated challan generation and regulatory reporting at city scale.
Railway HIL digital twin — timetable optimisation, rolling-stock PHM and track-capacity planning, with real-time SCADA sync and ETCS Level 2 compliance.
Radar + camera + LiDAR fusion with DNN threat classification and adaptive forward-collision warning (TTC-based) — sub-30 ms end-to-end latency, ASIL-C certified.
IEEE Transactions, IET journals and top-tier conferences — spanning intelligent vehicles, power-system protection, battery intelligence and grid AI.
Filed across automotive AI, battery intelligence, embedded systems, sustainability, computer vision and power-system protection — in collaboration with leading industry partners.
Driver-behaviour classification, CAN anomaly detection, ADAS reaction-time prediction, powertrain converter prognostics.
Battery SOH/RUL parameter prediction, thermal management for electrical machines, fuel-injection pump prognostics.
ML-based CO₂ emission estimation from vehicle telematics — supporting OEM regulatory reporting.
Edge-deployed traffic-violation detection; AI-driven enforcement for smart-city infrastructure.
NLP and knowledge-graph-based automated test-case generation for automotive software functions.
Adaptive distance relay and intelligent protection for series-FACTS-compensated grids — filed during ABB tenure.
Patent details are publicly verifiable via the India Patent Office (IPO) and Google Patents. Application numbers available on request.
MNIT Jaipur · Battery SOH estimation using LSTM networks.
For exceptional contribution to AI platform delivery and business impact.
Top 10% of IEEE professionals globally — sustained contributions to EE and computing.
National recognition for doctoral research on adaptive distance protection for FACTS-compensated networks.
SERB–DST & CII · First awardee in India from Electrical Power Engineering.
Power & Research Conference · symmetrical fault detection during power swing.
Across industry, academia and government — at global scale.
Directing India's national AI-mobility research program — coordinating strategy, IP governance and R&D funding across Bosch, IIT Delhi, IIT Kanpur, DST, SERB and AICTE.
Co-supervising doctoral candidates at IIT Delhi (microgrid protection), IIT Madras (power electronics) and IISc Bangalore (AIoT & digital energy) — keeping outputs industry-deployable, not just publishable.
Postdoctoral research at TU Delft on the EU MIGRATE project — collaborating with European TSOs including RTE France and ELERING Estonia on next-generation grid intelligence.
14+ patents across Bosch and ABB domains; active in IP roadmap, standards alignment (IEC, ISO, IEEE) and research-to-product knowledge transfer.
Open to collaboration on AI platforms, mobility and energy systems, doctoral research and standards work.