Solving Complex Problems Through Mathematics, AI and Advanced Computational Methods

Solving Complex Problems Through Mathematics, AI and Advanced Computational Methods

Monica Banerjea, BBA, M.Sc., Ph.D.

Improving Decision-Making, Operational Performance and Strategic Outcomes

My work focuses on applying artificial intelligence, operations research, and advanced computational methods to complex systems, developing solutions and decision-making tools across several domains, including healthcare, finance, transportation, telecommunications, energy, manufacturing, information technology, and sustainable development.

Selected Projects and Research

Healthcare:

1. Enhanced Patient Quality of Care — Large Teaching Hospital, London, UK

  • Increased operating room utilisation from 50% to 80% for selected surgeries through optimised scheduling.
  • Reduced surgery wait times and cancellations.

2. Automated NurseScheduling — Teaching Hospitals

  • Leveraged data from the UK, US, Canada, Norway and Japan to satisfy numerous conflicting requirements, including work regulations, staffing coverage and individual preferences.
  • Increased the number of requirements fulfilled.
  • Improved scheduling fairness, nurse satisfaction and quality of patient care.

3. Optimised Surgery Scheduling — Norway

  • Developed scheduling models incorporating patient, clinical, staffing and operational constraints.
  • Reduced surgery wait times by 30%.

4. Improved Linen Delivery — Large Teaching Hospital, Montreal, Canada

  • Optimised delivery routes and workflows.
  • Reduced delivery time by 40%.

Optimisation:

1. Operational Research and Computer Science — Nottingham, UK

  • Developed hyper-heuristics distinguished by their adaptability.
  • Demonstrated success across diverse domains, including but not limited to
    packing problems, transportation, logistics, healthcare scheduling and personnel scheduling.

2. Operational Research and Search Based Software Engineering – DAASE project (Dynamic Adaptive Automated Software Engineering), UK

  • UK multi-university collaboration across University College London, Stirling, Birmingham, Queen Mary, and Sheffield.
  • Contributed to redefine software engineering by using advanced computational techniques to embed adaptivity and flexibility in software processes and products.
  • Applied meta-heuristics and hyper-heuristics to address complex, real-world challenges.

3. Quantum Computing

  • Research at the intersection of quantum computing and optimisation.

Transportation:

  • Collaborated with a large Public Transit Corporation, Montreal, Canada.
  • Improved passenger flow by 20% during special events through simulation and optimised staffing strategies.

Telecommunications:

  • Developed analytical and optimisation approaches for equipment planning for a Belgian telecommunications company.
  • Reduced equipment needs by 30% while maintaining service quality.

Finance and Financial Technology:

1. Financial Technology and Investment Industry

  • Developed and implemented software and modules for the investment industry, managing projects across Canada, the US, the UK, and Europe.
  • Contributed to the integration and evolution of financial systems within asset management firms, drawing on experience in financial engineering, investment operations, and business analysis.

2. Quantum Finance

  • Research at the intersection of quantum computing and finance.

Contact