C. Bustillo-Lecompte
Toronto Metropolitan University (formerly Ryerson University)
Dr. Ciro Bustillo-Lecompte PhD · PEng · EP · Queen Elizabeth Scholar
Environmental engineer and public health educator. My research spans advanced oxidation and photocatalysis, industrial wastewater, decentralized drinking water and remote-sensing risk mapping.
Field-Weighted Citation Impact (OpenAlex): 1.00 is the world average for papers of the same field, year and type.
Syncing with ORCID & OpenAlex…
I am Assistant Director, Curriculum Management and Academic Engagement in the Office of the Registrar and an Adjunct Professor in the School of Occupational and Public Health at Toronto Metropolitan University (formerly Ryerson University).
My training spans civil, environmental and chemical engineering and occupational and public health. I have led cross-functional, multi-site teams on noise control and on air, soil and water quality management, and worked on wastewater treatment in the petrochemical, agricultural and food-processing sectors.
I am committed to equity, diversity and inclusion in teaching, research and academic administration.
UV/H₂O₂, TiO₂ (doped and composite), solar photocatalysis and slurry-photoreactor scale-up for recalcitrant organics, dyes, pharmaceuticals, BTEX and cyanide. Includes the book Advanced Oxidation Processes - Applications, Trends, and Prospects (IntechOpen, 2020) and a chapter on slurry-photoreactor scale-up.
Slaughterhouse and petroleum wastewater: combined biological + advanced-oxidation treatment, biogas generation and cost-effectiveness. Includes a widely cited review of the meat-processing sector.
Solar disinfection, sequential purification and point-of-use filters for dispersed rural households and developing cities.
Satellite (WorldView-3) and machine-learning detection of asbestos-cement roofs for affordable hazard mapping.
Ultrafine particles (overview, 280+ citations), traffic-noise modelling and the book Urban Pollution.
Public health inspector oversight of small drinking water systems, digital literacy and equitable access to care.
Supervision includes students jointly supervised with Professors Mehrab Mehrvar and Edgar Eduardo Quiñones-Bolaños.
Toronto Metropolitan University, Seneca Polytechnic and Universidad de Cartagena.
Memberships: Professional Engineers Ontario · Environmental Careers Organization of Canada · Canadian Institute of Public Health Inspectors · International Water Association · Canadian Society for Chemical Engineering. Languages: English and Spanish.
Moments from teaching, research and professional milestones. Click a photo to enlarge it.
Generated automatically from my ORCID record and OpenAlex (aggregating Crossref, Scopus-indexed and PubMed metadata). New DOI-registered work appears here without manual editing. Click Cite on any item for APA, BibTeX or RIS.
Small calculators built around the methods in my papers. They use standard textbook equations, run entirely in your browser, and are for education and quick estimates, not design or compliance.
Pseudo-first-order: ln(C₀/C) = k·t · half-life t½ = ln2 / k
Removal in series: R_total = 1 - Π(1 - Rᵢ): the logic behind combined biological + advanced-oxidation treatment.
Stage removals are inputs you supply; defaults are illustrative, not data from my papers.
Dose D = I·t · Chick-Watson N/N₀ = e^(-k·D) → log₁₀ reduction = k·D / ln 10
k depends on the organism and water quality; enter a measured or literature value for your case. 1 mW/cm² × 1 s = 1 mJ/cm².
Sum of sources L = 10·log₁₀ Σ 10^(Lᵢ/10) · distance (point source) L₂ = L₁ - 20·log₁₀(r₂/r₁)
Set an unused source to 0 dB to exclude it. Free-field geometric spreading only: no ground, barrier or atmospheric effects.
For classifying roofs from satellite imagery (for example asbestos-cement vs other roofs), from a 2 x 2 confusion matrix: overall accuracy (TP+TN)/N · precision TP/(TP+FP) · recall TP/(TP+FN) · F1 · Cohen's kappa
Standard accuracy-assessment metrics used to compare supervised and unsupervised classifiers. The defaults are illustrative numbers, not results from my papers. Precision is also called user's accuracy and recall producer's accuracy.
Area A = pixels × GSD² · normalized difference index ND = (A - B) / (A + B)
1.24 m is the nominal multispectral pixel size of WorldView-3 at nadir; check the metadata of your own image product, because off-nadir views and resampling change it. With A = NIR and B = red this gives NDVI.
Research collaboration, guest lectures, curriculum or media enquiries. Send a message and I'll reply by email.
Toronto Metropolitan University (formerly Ryerson University)
350 Victoria Street, Toronto, ON M5B 2K3
Answers come only from my publication record. For anything else, use the contact form.