Ashish Sharma

Dr Ashish Sharma is an environmental scientist and air quality researcher who translates complex environmental data into practical solutions that protect vulnerable populations from pollution. Having completed his PhD at the University of Surrey's Global Centre for Clean Air Research, he pioneered methods to create clean air zones for infants in prams, with his groundbreaking research featured by the BBC, The Telegraph, and international media outlets. Now leading work on major projects including AI4URBAN-HEALTH and GREENICON, he applies artificial intelligence and green infrastructure strategies to urban health challenges across multiple cities. His presentations at the University of Cambridge, ETH Zurich, and smart cities conferences equip audiences with evidence-based approaches to air quality management, sustainable transportation, and climate action that drive measurable improvements in public health and urban resilience.

During his doctoral research at the University of Surrey, Dr Ashish Sharma developed a groundbreaking miniature clean air system that creates protective zones around infants in prams, directly addressing one of urban pollution's most vulnerable populations. His PhD project, funded by UK EPSRC at the Global Centre for Clean Air Research, combined laboratory and field investigations to tackle both regulated pollutants like PM2.5 and unregulated ultrafine particles, building a knowledge base that translated complex environmental engineering into practical child health protection. This research captured international attention, with the BBC, The Telegraph, Daily Mail, and Huffington Post among numerous media outlets covering his findings on quantifying and mitigating air pollution exposure for young children.

With his doctorate complete, Dr Sharma now applies his expertise across major research initiatives that scale urban health solutions through artificial intelligence and green infrastructure. As a researcher on the AI4URBAN-HEALTH project, a £600,000 UKRI-funded network led by Imperial College London, he explores how AI can optimise green infrastructure deployment in urban environments. His work on GREENICON examines how greening strategies improve indoor comfort and health, whilst his involvement in projects addressing heat stress, flood risk, and traffic noise reduction demonstrates his ability to tackle interconnected environmental challenges. His international collaborations span South Korea, the United States, Australia, and India, including leadership of economic and health impact assessments during COVID-19 lockdowns in Indian megacities. Presentations at the University of Cambridge, ETH Zurich, and major smart cities conferences reflect his skill in making technical air quality science accessible across academic, policy, and industry audiences.

Dr Sharma equips organisations and communities with evidence-based strategies that transform air quality management from abstract data into measurable public health improvements. His expertise in exposure assessment, filtration technologies, life cycle analysis tools, and dispersion modelling enables audiences to understand how pollution affects vulnerable populations and implement targeted interventions. Whether addressing corporate leaders on sustainability pathways, advising policymakers on urban planning, or guiding public health professionals on protective measures, he demonstrates that effective environmental action begins with understanding specific exposures and designing solutions that meet people where they are. His work proves that protecting health in urban environments requires bridging laboratory science with lived experience, turning research insights into practical tools that create lasting change for the most vulnerable members of society.