Imperial College London

DrJesusRodriguez Manzano

Faculty of MedicineDepartment of Infectious Disease

Lecturer in Antimicrobial Resistance and Infectious Diseases
 
 
 
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Contact

 

j.rodriguez-manzano

 
 
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Location

 

Commonwealth BuildingHammersmith Campus

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Summary

 

Guest Lectures

Coupling Machine Learning and High Throughput Digital PCR to Enable Multipathogen Detection, Fluidigm Ltd, LIVE WEBINAR, 2021

Novel data-driven methods for diagnosis of infectious diseases and antimicrobial resistance, Rapids Methods Europe, Online, 2021

Novel nucleic acid based diagnostic tools for rapid and affordable detection of infectious diseases and antimicrobial resistance, Federation of Infection Societies & Healthcare Infection Society (FIS/HIS), Online, 2020

Developing a novel smartphone-based diagnostic system for point-of-care detection of infectious diseases and AMR, Annual Diagnostics Innovation Summit - Advanced Diagnostics for Infectious Disease, Lisbon, Portugal, 2020

The lab of the future: Artificial Intelligence and Microfluidcs, International Congress on Infectious Diseases, Kuala Lumpur, Malaysia, 2020

Innovation in diagnostics and surveillance, Global Health Forum: Combating antimicrobial resistance, Imperial College London, UK, 2019

Developing diagnostics for AMR in low- and middle-income countries, AMR - Colston Research Society Symposium on 'The Antibiotic Age: The End or a New Beginning?', University of Bristol, UK, 2019

Microchip based semiconductor technology enabling rapid malaria diagnostics, West African Centre for Cell Biology of Infectious Pathogens Research Conference, Accra, Ghana, 2019

Innovative Technology for CPE Management and Control, Technical Solutions to Support Infection Management & Address AMR, Translation & Innovation Hub, UK, 2019

Microchip technology enabling rapid diagnostics for infectious diseases and AMR, Innovation Conference, ICSM Surgical Society, UK, 2019

Rapid and accurate discrimination of CPE genes using innovative diagnostic tools, Clinical Seminar at Charing Cross Hospital, Imperial College NHS Trust, UK, 2019

Multidimensional DNAgnosis, Techcelerate Showcase, Nesta – The innovation Foundation, London, UK, 2018

Microchip technology enabling rapid diagnostics for infectious diseases and AMR, Clinical diagnostics and antimicrobial resistance: A multidisciplinary symposium, London School of Hygiene and Tropical Medicine, UK, 2018

Advances in point of care testing technologies, International Congress on Infectious Diseases, Buenos Aires, Argentina, 2018

Emerging POC technologies for infectious diseases and AMR in low-resource settings, Clinical Infection Seminar at Hammersmith Hospital, Imperial College London, UK, 2017

Innovative technology for the management and control of dengue, Technology vs Infectious Diseases: An Imperial College & Royal Institution Summit, The Royal Institution, UK, 2017

Point-of-care diagnostics for infectious diseases and antimicrobial resistance, Department of Microbiology, Immunology and Parasitology, Federal University of Santa Catarina, Brazil, 2017

Towards rapid point-of-care diagnostics for infectious diseases and antimicrobial resistance, EMBRACE multidisciplinary seminars in antimicrobial resistance, Imperial College London, UK, 2016

Horizon scanning of diagnostic technologies for emerging infectious diseases and AMR, Antimicrobial Research Collaborative “ARC@Imperial” Annual Conference, Imperial College London, UK, 2016

Rapid point-of-care diagnostics for infectious diseases, School of Biosciences and Medicine, University of Surrey, UK, 2015

Research Student Supervision

Ardhithy Dhinagaran,D, (BSc in Pharmacology - FYP) Exploring isothermal DNA amplification techniques for breast cancer using microchip technology. 2017

Chakravorty,A, (MEng Electrical and Electronic Engineering) Embedded controller and real-time signal processing for a Smart Portable DNA Diagnostic Platform. 2020

Chen,B, (MRes in Nanomaterials) Detection of Breast Cancer Mutation with Microchip Compatible Isothermal Amplification Chemistry. 2019

Gracia,R, (MSc in Molecular Medicine) Development of Loop-Mediated Isothermal Amplification Assay for Tuberculosis Point-of-Care Diagnostics. 2020

Gulli,C, (MEng in Electrical and Electronic Engineering) Intelligent Learning Systems for DNA Detection - a Coronavirus Case Study. 2021

Ho,T, (MEng in Electrical and Electronic Engineering) Non-invasive detection and quantification of psychological stress in humans using wearable devices. 2017

Jimenez Munoz,M, (MRes in Nanomaterials) Current surface modification strategies performed in silicon-based biosensor. 2020

Katarya,K, (MEng in Electrical and Electronic Engineering) Signal processing and applied machine learning for rapid detection of COVID-19. 2021

Kearney,X, (MEng in Electrical and Electronic Engineering) Signal processing and applied machine learning for rapid detection of DNA. 2019

Keeble,L, (PhD candidate) Enhancing ISFET-Based DNA Detection Using Integrated Electrode Systems

Khadija,B, (MRes in Nanomaterials) Accurate multiplex discrimination of antimicrobial resistance genes using novel multidimensional standard curves. 2019

Malpartida Cardenas,K, (MRes in Nanomaterials) Development of molecular methods for malaria and artemisinin resistance markers specific detection. 2017

Malpartida-Cardenas,K, (PhD candidate) Development of rapid point-of-care diagnostics for quantitative and sensitive malaria detection

Miglietta,L, (PhD candidate) Optimal data-driven assay development for nucleic acid amplification-based diagnostics

Moniri,A, (MEng in Electrical and Electronic Engineering) Novel Algorithms and Models for Sensing DNA. 2017

Moniri,A, (PhD candidate) Intelligent Algorithms for DNA Detection, Quantification and Multiplexing: From Traditional to State-of-the-Art Instruments

Muttawa,O, (MEng in Electrical and Electronic Engineering) A real-time independent and inexpensive PPG signal quality classification tool for vital sign monitoring. 2020

Ng,W, (MSc in Molecular Medicine) Development of host immune response-based RNA point-of-care test for accurate diagnosis of tuberculosis on Lab-on-Chip platform. 2020

Peng,T, (MEng in Electrical and Electronic Engineering) Signal processing and applied machine learning for identifying microorganisms. 2021

Potluri,S, (MRes in Biomedical Research) A review on Carbapenem and Colistin resistance detection systems and data analysis on qPCR quantification metrics. 2020

Seth,I, (BSc Pharmacology - FYP) Detection and quantification of micro-RNA targets in prostate cancer for integration with pH sensitive microchip technology. 2017

Sun,C, (MEng in Electrical and Electronic Engineering) Signal processing and applied machine learning for identifying microorganisms. 2019

Terranova,G, (MEng in Electrical and Electronic Engineering) CMOS IC Design of Low-Noise Chopping Techniques for Ion-Sensitive FET arrays. 2020

Yang,P, (MEng in Electronic and Information Engineering) Signal processing and applied machine learning for detecting bacteria resistant to antibiotics. 2019