Dr.ir. Rishi Relan | R&D Leader, Digital Twins & Battery AI

Leadership Profile

Most recently I scaled the BESS engineering team to 40+ members and founded the Battery Advanced AI Technology Lab (BATL), on top of leading the surrogate-modelling work that made generator design cycles 20X faster.

Results-driven and visionary Head of Engineering and R&D with a proven track record of scaling high-growth departments and steering highly specialized, elite engineering teams. I leverage deep technical expertise, strategic leadership, and stakeholder management to pioneer next-generation solutions in complex energy environments.

Currently leading a highly specialized team of Core R&D Specialists as the Head of Grid Flow Platform Engineering and R&D at Siemens Energy India Limited (SEIL), while concurrently steering the Battery Energy Storage Systems (BESS) department through a strategic transition. In this dual-leadership capacity, my mandate builds upon my success in scaling the BESS engineering team to 40+ members, establishing the Battery Advanced AI Technology Lab (BATL), and fostering a robust culture of cross-functional innovation.

20+ years of engineering leadership, with a proven ability to govern multi-million-euro R&D budgets, synchronise decentralised product roadmaps, and scale high-performance matrix teams — spanning early hands-on industrial engineering roles (embedded control systems for automotive OEM integration at General Motors' ITEZ via dSPACE, and industrial process control at Tox-Pressotechnik) through to today's cross-portfolio, globally matrixed technology leadership.

"I lead by pairing high technical standards with genuine ownership — pushing my teams outside their comfort zone while backing them with hands-on mentorship, because the fastest way to build lasting R&D capability is to grow the people, not just the roadmap."

Leadership DNA

Initiative

Curiosity

Team Player

Organize & Manage

Career Footprint

India

Head of Eng. & R&D, Siemens Energy — current

Denmark

Postdoctoral Researcher, DTU

Siemens Gamesa · MADE · CITIES Consortium

Belgium

Ph.D., Summa Cum Laude, VUB

KU Leuven — Adv. MSc. in Artificial Intelligence

Switzerland

Visiting Researcher, ETH Zürich

United Kingdom

M.Phil., Rolls-Royce UTC, Sheffield

Germany

MSc Mechatronics & Application Engineer, dSPACE

Industrial Researcher, Tox-Pressotechnik SE & Co. KG

Global Footprint

6 countries across 3 continents

Drag to explore

IN DE UK BE DK CH

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Engineers Led (Concurrent)

Platform R&D (GFP) 9 Core R&D Specialists

Dept. Mgmt (BESS) Scaled to 40+

R&D & Engineering Budget Handled €2.5M+ / yr

Total Team Led (Concurrent Roles) 50+ Engineers

0

Publications

0

Countries Worked

0

Years Experience

Industry Verticals

Applied Expertise Across Sectors

Energy

Mechatronics

Industry 4.0

Aerospace

Automotive

What Colleagues Say

"Rishi worked for me as a resident engineer during his work at the dSPACE headquarters as well as a resident engineer at Opel in Ruesselsheim (hardware-in-the-loop systems for vehicle dynamics controllers).

Rishi is a very experienced applications engineer in the area of automotive electronics and automatic control. He has very good knowledge in control, C-programming, modeling and real-time simulation. Additionally, he is a specialist in Matlab/Simulink and the dSPACE tool chain and has good exprience in the automotive bus systems (CAN-Bus), measurement technology and equipment.

Rishi is very enthusiastic in his work and has a lot of intercultural experience. He was very well accepted internally in the company as well as by his customers. He speaks German fluently. Rishi left dSPACE to bring his research career in automatic control to the next step."

Peter Waeltermann

CEO at dSPACE Inc

"All my meetings with Rishi always confirm:
• his great knowledge and expertise in latest information technologies,
• his deep understanding of the existing challenges of implementation of digital solutions in GT engines regarding rapid time-to-market, and
• his interest in customized produces based on machine learning, genetic algorithms, artificial neural network techniques, and other digital approaches.

I like very much his pro-active communication involving all stakeholders and learning different opinions before making the final decision. Rishi shares his know-how with others in comprehensive manners that do not exclude various participants. His multi-cultural behavior creates an open domain for effective team collaboration with internal members and third parties, like employees of ANSYS.

His work in Germany is a great attitude for being a local key expert. He will serve as a good mentor of successors. His interest in stepping out of the box will bring much adding values for our business and customers."

Jaroslaw Szwedowicz, D.Sc., Ph.D., Eng.

Senior Principal Key Expert for Gas Turbine Modules at Siemens, ASME Fellow

"I have worked with many professionals throughout my journey, but Rishi is a unique one. His expertise in various domains like System identification & predictive modeling and simulation, AI and Machine learning and Control Engineering was unparalleled in our team. In addition to domain expertise, he also brings a clarity to problem solving and project execution that is a reflection of his expansive academic and industrial experience.

He is honest and transparent in his actions but is also open to criticism and always strives to constantly improve and grow. He is blessed with extraordinary interpersonal and leadership skills. It was a pure delight working with him."

Vigneshwaran Venugopalan

Software Engineering Manager at Boeing

"In the last 5 years of working together with Rishi in different capabilities, I was continuously inspired by his unique blend of technical know-how, strategic brilliance and visionary leadership. His excellent multilingual skills, combined with his rich and diverse cultural experiences in India and abroad, make him a great storyteller with the ability to capture anyone's attention within a short span of time. My interaction with him began with accidental meeting over a topic which is one of his expertise, and later, I also had opportunity to work in his team. He consistently pushed me outside of my comfort zone, placing me in challenging, unfamiliar, and often uncomfortable situations, while always supporting me with unwavering guidance. Whenever/wherever I ever stumbled, he was there with constructive advice, helping me turn those uncomfortable moments into great learnings. He has a strong innovation mindset and always emphasizes on taking complete ownership. Any organization, team, or individual would be incredibly fortunate to have him as leader and mentor. Thank you, Rishi, for all your guidance and for shaping me into the professional that I am today."

Aditya Dubey

Mechanical Engineer - Heat Transfer & FE, Siemens Energy Innovation Center

"Looking at and reading both [Digital Twin] presentations have been a full enjoyment for me and they have excited me, as I have experienced clarity (in regards of the intention), quality and competence (in regards of the content), easiness (in regards of understanding) and professionality (in regards of creation of the slides). Thank you for this! For sure I was also very happy to see the Ansys logo on the different pictures."

Dr.-Ing. Michael Hortmann

Director, Enterprise Account Management (ANSYS)

"From our collaboration, I have come to know you as a highly engaged colleague who is always ready to share his knowledge in the field of machine learning and contribute his experience. I particularly appreciated that you supported Aditya in his Agile project on non-linear ROM. The collaboration with you, Aditya, and ANSYS has brought us a significant step forward. From my perspective, we are now in a position to generate an important future service product around the core of the non-linear ROM. For the next steps—connecting to plant measurement data and lifetime evaluation—I see your experience in control engineering as very helpful."

Uwe Loehse

Master Engineer (Retd.), Siemens

"I had the privilege of working with Rishi Relan as a fellow researcher. Rishi is very pragmatic, creative with well grounded research knowledge. His domain knowledge spans across unique inter disciplinary areas such as Control systems, System identification, Machine learning and Systems health monitoring.

This ability of his helped me very much through my research work and eventually lead to produce a research paper on wireless-real time control. He is also a very good critic who has the ability to look into both analytic and logical aspects of a problem which I believe is something only very few people are gifted with. We have also had many fruitful discussions throughout our research period and I have always admired his in-depth knowledge in multiple areas."

Ishita Bansal

General Manager at BSES

"Fortunately for me Rishi and I worked together for two years. During this time Rishi took it upon himself to teach me how research is and should be done. Furthermore, with his enormous experience-to-age-ratio he always participates actively in discussions, be they personal or professional. The way he does so is always friendly and inviting, which describes him as a person as well. Always arriving at work with a smile on his face, you will be hard pressed to remove it, and if you do, it will be back in a matter of moments.

No matter what position he is hired in, I am confident that he will make himself useful by producing high quality solutions and by making everyone at work have a good time."

Rune Grønborg Junker

Assistant Professor, Technical University of Denmark

"It is a pleasure to work alongside Rishi on the 'Gas Turbine Autonomous Control & Optimization' project. This ambitious project aimed to develop a cutting-edge autonomous control system platform to optimize combustion process for emissions reduction and to maximize thermal performance of power plants over time.

Rishi's expertise in modeling complex stochastic combustion processes and signals and utilizing them for optimization to create robust controllers played a pivotal role in the project's success. The models he designed for various operational scenarios of the power plants demonstrated good accuracy and generalization, owing to their self-adaptive nature in near real-time. His profound understanding of process dynamics, optimization, soft-sensing, time series modeling, uncertainty analysis, signal processing and advanced process controls provided invaluable insights and implementable ideas throughout the project."

Gurdev Singh

Lead- Autonomous Control Systems, Siemens Energy

"Rishi Relan has a strong vision for Digital Twins in complex integrated environments. Paired with experiences from different industries, analytical background and social skills, Rishi is enriching any team, he is working with.

Rishi worked with me in a corporate wide program to create data driven analytics and digital twins with customers to induce cutting these technologies into the enterprise. I was the technical program lead and Rishi acted as consultant with his industrial and analytical background. He was the person to fill the programs initially theoretical system-of-system digital twin approach with real life examples for applying on compressors and energy management of energy systems and turning these use cases to requirements for software development."

Stefan Lichtenberger

Technical Program Lead, Siemens Energy AG, Germany

"I have had the privilege of reporting to Rishi, and he truly helped me grow so much as a professional.

What I love about working with Rishi is his incredible attention to detail and the high standards he sets for engineering. He’s a fantastic mentor who genuinely cares about helping his team grow. He’s always challenging us to never settle for subpar work and constantly pushes everyone to do their absolute best.

I owe a lot of my engineering mindset to Rishi. He really took me under his wing and taught me what true precision and commitment to quality look like. Those are the lessons I'll carry with me throughout my whole career.

Beyond the engineering side of things, he is just an incredible guy to talk to. You can chat with him about absolutely anything, he's well read and always so engaging.

Honestly, if you want a leader who can build an amazing team, attract quality work, and push for real engineering excellence, Rishi is as good as it gets."

Hari Ashwin S

Protection Engineer, Siemens Energy India

"Working with you has been a truly inspiring experience. You are such a motivating mentor and an amazing manager that I have always admired your way of managing everything so effectively. You set high standards in everything you do and have taught us to maintain the same excellence in whatever we do and wherever we go. Your energy and enthusiasm naturally motivate everyone around you. At times, you were like a friend who made the team feel comfortable, while also being a great mentor who guided us in the right direction. I personally have taken away many valuable learnings from you, and I am truly grateful for your support and guidance. I feel genuinely grateful to have had you as a manager at the beginning of my career journey, as the learnings and values you shared will stay with me for a long time."

Subhiksha M

Solution Engineer, Siemens Energy India

"Rishi is the most energetic person around always. I admire all your hard work and dedication towards even the small piece of work. I am impressed with your way of managing any adverse conditions and handling people. It's my pleasure that I worked with you. I learnt plenty of things in relation with academics and managing people, which always remains with me. All the best for your future endeavours."

Gayathri Ganesan

Executive, Siemens Energy

Professional Journey

Detailed Roles, Projects & Industrial Collaborations

Technology Leadership Roles

Siemens Energy India Limited (SEIL) (Mar 2025 - Present)

Siemens India Limited (SIL) (Aug 2019 - Mar 2025)

Aug 2019 - Present

Currently running two engineering functions in parallel — Grid Flow Platform R&D and the BESS department — during a planned leadership transition.

Leadership & Roles

Head of Eng. & R&D — Grid Flow Platform Ongoing

Jan 2026 – Present

Leading an elite core of R&D specialists. Responsible for high-performance platform R&D and operational engineering feature development.

Head of Eng. & R&D — BESS Ongoing

April 2023 – Present

Managing a strategic dual-portfolio transition. Built and scaled the BESS department to 40+ engineers, overseeing budget, headcount, and technology roadmaps.

Global Technical Advisor (CbSI) & Digital Twin Tech Advisor (LGT R&D) Completed

Jul 2022 – Sep 2023

Advised globally on Condition Based Service Intervention (one of 5 major SE FoAs) and Real-Time Soft-Sensing Solutions for Gas Turbine Thermal Modelling.

Product Owner (Global) Completed

Oct 2022 – Sep 2025

BESS Digital Solutions, EMS, Digital Twins.

Technical Consultant & Former Tech Lead Completed

Oct 2022 – Dec 2024

Generator Reliability Twin, Large Generator Engg. R&D. Directed development as Tech Lead (achieving 20X faster surrogate modelling), followed by an advisory role as Tech Consultant.

Digital Twin Expert (Large Generator Engineering R&D) Completed

Aug 2019 – Sep 2022 · 3 yrs 1 mo · On-site

Past Projects:

Led the development of a dynamic digital twin for predictive maintenance of large rotating equipment hot components.
Led the project to develop "Surrogate Models for Computationally Expensive High-Fidelity Models in Generator Engineering Portfolio".
Contributed to the development of an algorithm for rotor inter-turn fault identification.

Key Initiatives

Business Unit KPI Dashboard Operational Excellence

Built a self-service, BU Head-level KPI dashboard consolidating budget burn, delivery predictability (Say/Do & DORA), security posture, and technical-debt metrics into a single executive scorecard — paired with a mathematically-modelled, "zero-timesheet" systemic accountability framework that makes team capacity and legacy risk visible without micromanagement.

Prodify Governance

A role-based governance platform (RBAC, full audit trail, approval workflows) delivering metrics-driven KPI dashboards for org-wide resource utilization, workforce productivity, and delivery visibility — a foundation extensible into full operational-excellence and engineering-delivery governance tooling for a distributed development organization.

SkillCanvas Talent Development

A department-aware skill-mapping and gap-analysis platform (Next.js/FastAPI/Azure SQL) that quantifies how an employee's competencies match role requirements against a shared, auditable rating standard — direct infrastructure for workforce capability building, succession planning, and technical-excellence tracking across departments.

Founder: BATL Infrastructure

Established the first Battery Advanced AI Technology Lab (BATL, Gurugram) from the ground up — architected and deployed a Zero-Trust, microservices-based network architecture enabling a cyber-secure, "plug-and-play" deployment model across the entire BESS ecosystem, while personally overseeing the lab's full technical stack (compute infrastructure, network security, and Linux/NAS systems), including dual high-performance, GPU-accelerated AI/ML servers.

IGSTC Collaboration

Single-handedly established a first-ever Indo-German collaboration network for Additive Manufacturing of generator components (Fraunhofer DE, IIT Bombay IN, and an Indian industry partner).

Global Product Owner: Matrix & Portfolio Alignment Matrix Leadership

Facilitated cross-portfolio roadmap synchronization across BESS Digital Solutions (EMS, Digital Twins, ancillary grid services), managed a ≈€0.75M R&D innovation budget, and aligned matrixed technology stakeholders across global domains (Oct 2022 – Sep 2025).

Technical Project Lead: BEPO Flagship Project Mar 2025 – Sep 2025

BESS Prognose und Optimierungs Regler — a Siemens Energy (SE) Innofond Project.

Developing an in-house solution for automated energy trading ("arbitrage") using battery energy storage systems (BESS).
Functions as a tertiary controller above the plant control system (T3000) and generates market-optimized setpoints for charging and discharging cycles.
Goal: Integration into the existing SE portfolio to enable direct control of trading strategies—without external providers.
Implementation: In cooperation with RWTH AACHEN University, an algorithm is being developed for the Energy Management System (EMS) that fully transfers software, hardware, and intellectual property (IP) to SE.

Technical Projects

Scientific Researcher

DTU Compute, Denmark

Sep 2017 - Aug 2019

Led development of cyber-physical models for Industry 4.0, renewable energy, and smart cities. Expertise in System ID, SDEs, Optimization.

Key Projects

MADE SPIR WP9
Centre for IT-Intelligent Energy Systems (CITIES)
FLEX-Coop H2020

Industrial Partners

Siemens Gamesa Renewable Energy (Denmark )
Fraunhofer-FOKUS (Germany )
CIMNE (Spain )

Scientific Researcher (PhD)

Vrije Universiteit Brussel (VUB), Belgium

Oct 2013 - Oct 2017

Developed theoretical frameworks for black-box modeling and stochastic identification of Li-ion battery dynamics. Nonlinearity detection & characterization.

Projects

ERC Grant SNLSID
BATTLE (Battery Modelling)

Industrial Partners

Siemens Digital Industry Software (Belgium )
Toyota Motors Europe
Volvo AB (Sweden )
Umicore (Belgium )

Rolls-Royce UTC (UK )

Feb 2012 - Sep 2013

Industrial Researcher

Gas turbine health monitoring using statistical signal processing & ML. Fault diagnosis, prognosis, FMECA, IPR patent analysis.

IIT Delhi (India )

Sep 2008 - Sep 2010

Senior Research Fellow

Active vibration control for rotor shaft systems. Experiment design, simulation, control framework.

dSPACE GmbH (Germany )

Oct 2006 - Sep 2008

Application Engineer / Resident Engineer

Resident Engineer at GM Europe. Integrated ESP, ABS, AWD on HIL simulators. Automated failsafe testing. Delivered simulator for Conti-Teves AG.

Tox-Pressotechnik (Germany )

Feb 2005 - Jun 2006

Industrial Researcher

Control system for industrial clinching process. Nonlinear math modeling, PLC/Microcontroller algo design, HIL sims, Patent review.

AutoKame / a2Z Filtration (India )

2003 - 2004

Product Development Engineer

PLC motion control, pneumatic circuits for CNC textile and filter machines.

New Era Controls / Haryana Sheet Glass (India )

2002 - 2003

Industrial Trainee

Process instrumentation, closed-loop controllers, electrical drives.

Academic Excellence

2013-2017

Doctor of Engineering Sciences

Vrije Universiteit Brussel, Belgium

Summa Cum Laude

Domain: Nonlinear System ID & ML.

Thesis: Data-driven discrete-time modelling of the continuous-time nonlinear systems and nonlinear modelling of Li-ion batteries.

Partners: Siemens Digital Industries, Toyota ME, Volvo AB

2012-2014

M.Phil. in Control Systems

The University of Sheffield, UK

Write-up Year: 2014-2015, Degree awarded (2015)

Research Fields: Health monitoring of complex systems: Fault diagnosis, prognosis of the civil aerospace gas turbine engine and real-time industrial wireless control.

Partners: Rolls-Royce plc, Aero-engine controls.

2010-2011

Adv. MSc. in Artificial Intelligence

KU Leuven, Belgium

Cum Laude

Research Domain: Sequential Monte-Carlo methods and its application to a humanoid (PR2) robot.

Skills: Control Theory, State Estimation, +3 skills

2004-2006

MSc. in Mechatronics

Hochschule Ravensburg-Weingarten, Germany

Sehr Gut (A+)

Research: Mathematical modelling, control and hardware-in-loop simulations of the pneumo-hydraulic servo systems.

Partner: Tox-Pressotechnik GmbH & Co. KG

1998-2002

B.Tech in Instrumentation & Control Engr.

Kurukshetra University, India

First Class with Honours

Recognition & Research

Publications, Thought Leadership & Honours

Best Paper Award

BAT-TEC · IEEE SEFET 2025

RE-INVEST Panel

Shared roster with Minister of State for Power & German Ambassador

3 Patents / IP

Disclosures & Trade Secrets

4,000+ Followers

Active Professional Network

Publication highlights

558

citations on Google Scholar

Highly Cited Award

Characterizing the energy flexibility of buildings and districts

RG Junker, AG Azar, RA Lopes, KB Lindberg, G Reynders, R Relan, ...

Applied Energy 225, 175-182 (2018) · award by Journal of Applied Energy, Elsevier (Jun 2020)

Awards and spotlights

2025
Best Paper Award

BAT-TEC: Battery Anomaly Tracking via Time Delay Embedding Features Clustering

IEEE SEFET 2025
2024
Spotlight presentation · Honourable Mention

Digital twin framework for enhancing BESS performance, safety and reliability

Vishnu Nair, Vikas... Rishi Relan · CASML 2024, IISc Bangalore

Most cited

987 citations in total · h-index 11 · i10-index 12 · the top paper is featured above

68

Prognostics of gas turbine engine: An integrated approach

MA Zaidan, R Relan, AR Mills, RF Harrison

Expert Systems with Applications 42 (22), 8472-8483 (2015)
51

Data-driven nonlinear identification of Li-ion battery based on a frequency domain nonparametric analysis

R Relan, Y Firouz, JM Timmermans, J Schoukens

IEEE Transactions on Control Systems Technology 25 (5), 1825-1832 (2016)
47

Advanced lithium ion battery modeling and nonlinear analysis based on robust method in frequency domain: Nonlinear characterization and non-parametric modeling

Y Firouz, R Relan, JM Timmermans, N Omar, P Van Den Bossche, ...

Energy 106, 602-617 (2016)
35
Global media feature
Exploring non-linear associations between atmospheric new-particle formation and ambient variables: a mutual information approach

Martha A. Zaidan, Ville Haapasilta, Rishi Relan, Pauli Paasonen, Veli-Matti Kerminen, Heikki Junninen, Markku Kulmala, Adam S. Foster

Atmospheric Chemistry and Physics 18 (17), 12699-12714 (2018) DOI

Publication Metrics

Total Citations 0

Total Publications 70

h-index 11

i10-index 12

Journals (Elsevier, IEEE) High Impact

Conferences (ASME, IFAC) Regular

Patents / Invention Disclosures / Trade Secrets 3

Latest Journal Publication

Robust battery state of health estimation: A weighted Gaussian process regression ensemble fusing equivalent full cycles and incremental capacity analysis

S. Brahma, Rishi Relan

Journal of Energy Storage, vol. 180, 124185 (2026)

Latest Release

From Concept to Reality: Navigating the Challenges of Algorithm Deployment In Battery Energy Storage Systems

Athak Goyal, Vishnu Nair, Vikas Yadav... Rishi Relan

Proceedings of the ASME (2025)

Under Review

Co-Creating with AI: Data Sovereign Generative Framework for Specialized Presentation Synthesis

ACM IKDD-CODS 2026

Additional Publications

Latest Release

Closing the Algorithmic-Industrial Gap: Robust IT-OT Interfaces for Battery Energy Storage Systems

ASME IMECE-2026, India

BAMM: Battery Anomaly Monitoring using Matrix Profile

2025

3 Citations

Securing BESS Modules: Anomaly Detection in Cell Voltages Through Statistical Analysis

2024

2 Citations

Navigating the Unknown and Uncertain: A Sensitivity-Driven Optimisation Framework for High-Fidelity Battery Modeling

2024

3 Citations

System-theoretic insights into battery power fade prediction

2024

3 Citations

Online conformal prediction of battery capacity ageing

2024

Healthcare AI Research 4 Citations

An automatic AVR biomarker assessment system in retinal imaging

2023

8 Citations

Physical-stochastic continuous-time identification of a forced Duffing oscillator

2022

Soft Sensor Application

Enhancing Turbine Inlet Temperature Prediction in Single Shaft Combined Cycle Power Plants Using Soft Sensor: A Grey-Box Modelling Approach

ASME GTINDIA (2023)

Healthcare AI Research 15 Citations

Unsupervised sorting of retinal vessels using locally consistent Gaussian mixtures

D Relan, R Relan

Computer methods and programs in biomedicine (2021)

Intellectual Property

Trade Secret

AI-driven system for efficient compression, transmission and storage of large-scale time series data in BESS

Siemens AG · accepted by Siemens Energy AG

Invention Disclosure

System for battery efficiency computation from live data streams with dynamic region detection

Siemens AG · transferred to Siemens Energy AG

Invention Disclosure

Probabilistic anomaly detection and data quality assessment for BESS

Siemens AG · transferred to Siemens Energy AG

View all 70 Publications on Google Scholar

Leadership Roles

Invited Talks & Panels

University Engagements

Recent & Upcoming in 2026

Spotlight Speaker 2026

Gas Turbine India Conference track, ASME IMECE 2026

Event link

Op-Ed Hindustan Times · Jul 2026

AI infrastructure is powering the next research frontier

With Manisha Saini, BML Munjal University — why hybrid ML & control engineering, high-fidelity digital twins and HIL validation, not bigger models alone, are the real bottleneck for industrial AI.

Read the article

11 Oct 2026

Panel Member

"Transformed By AI or Transformed With AI?" — Multiscale Simulation & Data Analytics vertical, Industry-Academia Symposium, Dept. of Chemical Engineering, IIT Delhi

Oct 2026

Invited Speaker

"Engineering the Future: An Industry-Academia Conclave" (ISME Golden Jubilee) at IIT Delhi

2026

Session Chair

ASME IMECE 2026: Aerospace & Propulsion Health session, CPS & AI/ML track.

Shaping the field

Founding Member

ASME India's Cyber-Physical System (CPS) & AI/ML Sub-Group — collaborating with GE, Airbus, Baker Hughes, TCS Research, and IITs.

Founding Core Member

SPEL Competency Hub Diversity Council.

R&D Workstream Lead

RE-INVEST 2024 GIZ (Sep 2024)

APAC Lead

Associated Events Subcommittee, IGTI/ASME (Jul 2024)

Session Co-chair

Indian Control Conference (ICC) 2019

On stage

Keynote Speaker

ICAMDM-2025 (India )

Exclusive Panel Invitee: RE-INVEST (Germany Country Session)

Recognized for industry-leading R&D expertise by being selected for the session: "India-Germany Energy Partnership: 'Make in India' Solar, Wind, Storage & Skills for a Global Clean Energy Market". Shared the official roster with the Hon'ble Minister of State for Power (Govt. of India), the German Ambassador to India, and the MD & CEO of Siemens Energy India. GIZ

ASME E-Fest Careers Online Seminar 2024

"Accelerating Energy Transition and Sustainability: The Digital Twin and AI Advantage" — delivered to 1,200+ attendees (Sep 2024).

Speaking

Invited Guest Speaker

"Idea to Impact 2026" at Siemens Energy India Limited

Panel

Panel Member

"Optimisation at Crossroads of ML & Gen AI", MDAO 2024, IISc Bangalore

Seminar

Invited Lecture

"Digital Twin and AI: Industry 4.0" at SRM University (2024)

Seminar

IEEE Technical Seminar

"Modelling of Nonlinear Systems" at IIT Delhi (2018)

Seminar

ASME Seminar

Chandigarh University (300+ participants)

Global Reach

Presentations

ETH Zürich , Hausdorff Center , IITs (Delhi, Mandi, Ropar) , Rolls-Royce (UK ), Volvo AB , Toyota ME , Umicore

Op-Eds & Media

Bylined Op-Ed Hindustan Times, HT Insight · Jul 2026

AI infrastructure is powering the next research frontier

Co-authored with Manisha Saini, BML Munjal University. Argues that hybrid ML & control engineering, high-fidelity digital twins built on system identification, and Hardware-in-the-Loop validation — not larger models alone — are the real bottleneck and enabler for industrial AI R&D.

Read on Hindustan Times

Teaching, mentoring and reviewing

University Engagement

Member, Industrial Technical Advisory Board

School of Engineering & Technology, BML Munjal University

Guest Professor

BML Munjal University (2025)

Adjunct Professor

SRM University (2023-24), BML Munjal University (2019-20, 2026-27)

PhD Co-Supervision

Michael Nauheimer — "Sensor-Based Process Monitoring of Large Scale Vacuum Casting Process" (Siemens Gamesa/DTU )

Rune Grøborg Junker — characterisation & integration of energy flexibility (CITIES/DTU )

Industrial Mentor & Master Thesis Advisor

Vishnu Nair (Siemens Energy India Limited), M.Tech. in Data Science and Engineering, BITS Pilani (2024-2026)

Industrial Mentor & Master Thesis Advisor

Vikas Yadav (Siemens Energy India Limited), M.Tech. in AI & Machine Learning, BITS Pilani (2025-2027)

Visiting Research Positions

ETH Zürich Aug 2016 – Sep 2016

Visiting Researcher, hosted by Prof. Roy S. Smith at the Automatic Control Laboratory (IfA). Fully sponsored by a research and travel grant from the FWO (Research Foundation - Flanders).

Vrije Universiteit Brussel Apr 2013 – Jun 2013

Visiting Researcher.

Review and editorial

Expert Industry Reviewer

Two ASME India courses: “Foundation of Robotics & Applications” and “Intermediary Robotic Systems and Industrial Applications”

Jury Member

Smart India Hackathon 2020

Remote Reviewer

ERC Starting Grant 2020

Commissioning Editor

Dove Medical Press, UK (2012-14)

Knowledge Dissemination

Active contributor to European Research Network in System Identification (ERNSI ).

Peer Reviewer For:

Automatica IEEE Trans. on Control Systems Tech. SIAM Journal of Control IFAC ICC ACC CDC

Honours, Awards & Grants

APAC Lead - Associated Events Subcommittee

IGTI / ASME (Jul 2024)

Ingenuity Award (2020)

Siemens Generator R&D (India )

Postdoctoral Fellowship

DTU, MADE, CITIES (Denmark )

Doctoral Fellowship

VUB, VLAIO-SBO Grant (Belgium )

Travel Awards (Multiple)

OMFOND, VUB, FWO, HIM, HCM, EECI, UKIERI

Dorothy Hodgkin Postgraduate Award (DHPA)

Conferrer: EPSRC & Rolls-Royce plc (UK )

Senior Research Fellowship

DST India & IIT Delhi (2008-10)

For Industry Leaders

For Academic Leaders

For Thought Leaders

For Recruiters & Hiring Managers

Leadership Profile

Leadership DNA

Career Footprint

Global Footprint

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0

0

0

Industry Verticals

What Colleagues Say

Professional Journey

Technology Leadership Roles

Leadership & Roles

Key Initiatives

Technical Projects

Scientific Researcher

Key Projects

Industrial Partners

Scientific Researcher (PhD)

Projects

Industrial Partners

Rolls-Royce UTC (UK )

IIT Delhi (India )

dSPACE GmbH (Germany )

Tox-Pressotechnik (Germany )

AutoKame / a2Z Filtration (India )

New Era Controls / Haryana Sheet Glass (India )

Academic Excellence

Doctor of Engineering Sciences

M.Phil. in Control Systems

Adv. MSc. in Artificial Intelligence

MSc. in Mechatronics

B.Tech in Instrumentation & Control Engr.

Recognition & Research

Publication highlights

Characterizing the energy flexibility of buildings and districts

Awards and spotlights

Most cited

Publication Metrics

Robust battery state of health estimation: A weighted Gaussian process regression ensemble fusing equivalent full cycles and incremental capacity analysis

From Concept to Reality: Navigating the Challenges of Algorithm Deployment In Battery Energy Storage Systems

Co-Creating with AI: Data Sovereign Generative Framework for Specialized Presentation Synthesis

Additional Publications

Closing the Algorithmic-Industrial Gap: Robust IT-OT Interfaces for Battery Energy Storage Systems

BAMM: Battery Anomaly Monitoring using Matrix Profile

Securing BESS Modules: Anomaly Detection in Cell Voltages Through Statistical Analysis

Navigating the Unknown and Uncertain: A Sensitivity-Driven Optimisation Framework for High-Fidelity Battery Modeling

System-theoretic insights into battery power fade prediction

Online conformal prediction of battery capacity ageing

An automatic AVR biomarker assessment system in retinal imaging

Physical-stochastic continuous-time identification of a forced Duffing oscillator

Enhancing Turbine Inlet Temperature Prediction in Single Shaft Combined Cycle Power Plants Using Soft Sensor: A Grey-Box Modelling Approach

Unsupervised sorting of retinal vessels using locally consistent Gaussian mixtures

Intellectual Property

Recent & Upcoming in 2026

Gas Turbine India Conference track, ASME IMECE 2026

AI infrastructure is powering the next research frontier

Shaping the field

On stage

Op-Eds & Media

AI infrastructure is powering the next research frontier

Teaching, mentoring and reviewing

University Engagement

Visiting Research Positions

Review and editorial

Knowledge Dissemination

Peer Reviewer For:

Honours, Awards & Grants

APAC Lead - Associated Events Subcommittee

Ingenuity Award (2020)

Postdoctoral Fellowship

Doctoral Fellowship

Travel Awards (Multiple)

Dorothy Hodgkin Postgraduate Award (DHPA)

Senior Research Fellowship

Strategic Partners & Collaborators