Prof Jesse O’Hanley

About

Jesse is Co-I of a GCRF/EPSRC-funded project entitled, Improving Community Resilience and Sustainability Through Operational Research Capacity Building in Southeast Asia (CREST-OR) and recently received funding from the University’s GCRF Partnership Development Fund for a project entitled, Building analytics research capacity for sustainable development in Myanmar.

View Jesse’s full academic profile here.

Research interests

GCRF-related research interests:

1) Operational research methods for biodiversity conservation, habitat restoration, and natural resource management
2) Renewable energy production
3) Water, food, and energy nexus problems
4) Eco-friendly river infrastructure planning
5) Nature reserve selection
6) Biodiversity impacts of climate change
7) Carbon mitigation of transportation and logistics systems

GCRF challenge areas addressed by my research:

Within the “Equitable Access to Sustainable Development” theme:
1) secure and resilient food systems supported by sustainable marine resources and agriculture
clean air, water and sanitation
2) affordable, reliable, sustainable energy.

Within the “Sustainable Economies and Societies” theme
1) resilience and action on short-term environmental shocks and long-term environmental change
2) sustainable cities and communities
3) sustainable production and consumption of materials and other resources.

UN SDGs supported by my research:

1) Zero hunger
2) Clean water and sanitation
3) Affordable and clean energy
4) Industry, innovation and infrastructure
5) Sustainable cities and communities
6) Responsible consumption and production
7) Climate action
8) Life below water
9) Life on land

DAC-list countries benefitting from my research:

1) South American countries (I have ongoing funded projects in Brazil)
2) Southeast Asian countries (I have ongoing funded projects with partners in Vietnam, Cambodia, Laos, Myanmar, and Indonesia).
3) Potentially African and other Asian countries as well (nothing specific, but the methods I employ are generally applicable).

Supervision

I would be interested in supervising GCRF-related research projects involving the use of operational research methods (i.e. optimisation and simulation) or advanced statistical and machine learning techniques with an environmental theme, including but not limited to biodiversity conservation, natural resource management, sustainable energy production/consumption, and climate change modelling.