Welcome, this is Bilal Ahmad
  • RHUL
  • IITR
  • RWTH
  • AMU

Electrical Engineer

M.Phil Student at Royal Holloway University of London.
 My current research explores the integration of Battery Energy Storage Systems into the distribution network. I am working on the project titled "Automated framework for flexibility services in a battery energy storage proliferated smart power distribution system" funded by the "Living Sustainably Catalyst Studentship".
My work aligns with the United Nations' Sustainable Development Goal (SDG) 7: Affordable and Clean Energy. The Sustainable Development Goals provide a blueprint for achieving a better and more sustainable future for all, addressing global challenges such as poverty, inequality, climate change, environmental degradation, peace, and justice.
Bilal Ahmad

Bilal Ahmad URSA Fellow | DAAD Fellow | LSC Fellow | MHRD Fellow

Skills Stack

Development

Designer

Development

I am developing an automated framework of optimal procurement strategy for distribution Network Operator (DNO).

Things I enjoy developing:

Power System Security Models, Optimization Models, OPF models, Power Flow, Distribution System Modelling, Power Electronics Modelling, Control System Modelling

Modules Familiar with:
  • Gurobi
  • PandaPower
  • MATPOWER
  • Scipy
  • Pandas
  • Numpy
  • Matplotlib
Designer

Coding

During my time as a technical Lead at HCL, we were responsible for adding ML capabilities in existing HCL products.

Computer Languages:

MATLAB, Python, Java, HTML, CSS, and JavaScript

Products Developed:
  • Handwritten text Extraction
  • Optical Character Recognition
  • Catalogue Tagging
  • Sales Forecasting
  • Document Digitalisation
  • Image Noise Removal
Designer

Publications

I have published my work in International Conferences sponsored by IEEE.

Papers:

“Analysis of Three-Phase Grid-Tied Thyristor Based Inverter for Solar PV Applications” SEFET 2021”.


“Review of Thyristor Based GridTied Inverters for Solar PV Applications” I2CT Pune 2019.

Projects:
  • Automated Framework for DNO funded by LSC Fellowship
  • System Level Control of Inverters in DC Microgrid funded by DAAD Fellowship
  • Multivelel Inverter with MPP Tracking funded by MHRD Fellowship
Education
Doctor of Philosophy (PhD)
Master of Philosophy (M. Phil)
Royal Holloway University of London
Topic - Power System Optimisation Using Machine learning
M.Tech Thesis
RWTH Aachen University
Topic : System Level Control of Inverters in DC Microgrid
Master in Technology (M.Tech)
Indian Institure of Technology Roorkee
Electrical Power Systems
Grade: First Division with Distinction
Bachelor in Technology (B.Tech)
Aligarh Muslim University
Electrical Engineering
Thesis Topic - Design and Analysis of Different Topologies of Multilevel Inverters
Grade: First Division
Work Experience
HCL Technologies
August 2022 to July 2023
Designation : Technical Lead
Responsibility:
  • AI/ML integration in HCL products
  • Handwritten Text Extraction
  • Catalogue Tagging
  • Sales Forecasting
  • Optical Character Recognition
RWTH Aachen University
October 2021 to March 2022
Designation : Visiting Researcher
Responsibility:
  • Development of Multi Terminal DC microgrid model in MATLAB
  • Derivation and implementation of ADRC Scheme for converters
  • Analytical demonstration of the robustness and convergence
  • The small signal, sensitivity, and modal analysis to determine the influence of the control and system parameters and its validation
Price Waterhouse Coopers, PWC
August 2021 to October 2021
Designation : Intern
Responsibility:
  • Artificial Intelligence in Smart Grids
  • Advanced Metering Infrastructure
  • Smart Grid Contracts
Harduaganj Thermal Power Station
Uttar Pradesh Rajya Vidyut Utpadan Nigam Limited, Govt of India
May 2017 to June 2017
Designation : Intern
Responsibility:
  • Supervision of coal handling plant
  • Supervision of cooling unit
  • Switchgear monitoring
  • SCADA System monitoring
  • Workforce management

Received

Recommendations

The M. Tech program at the Indian Institute of Technology (IIT) Roorkee, is an internationally recognized premier program and Bilal stood out as a student who was sincere and willing to learn. He has a good command over power system modelling and various tools such as MATLAB software programming along with other computer languages such as Java, Python and JavaScript.
Bhavesh Bhalja
Dr. Bhavesh Bhalja

Professor

Indian Institute of Technology Roorkee

Bilal consistently impressed me with his deep technical understanding of power systems. His ability to analyze complex problems and propose innovative solutions is truly remarkable. Whether it was designing efficient power distribution systems or optimizing energy usage, Bilal's technical expertise always ensured outstanding results. Moreover, Bilal's management skills are truly noteworthy. He has a natural knack for leadership and effortlessly guides teams towards achieving their goals. His effective communication skills foster a collaborative work environment, where everyone feels valued and motivated to contribute their best.
Saad bin Arif
Dr. Saad Bin Arif

Assistant Professor

Aligarh Muslim University