World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
49
Citations
9404
World Ranking
4302
National Ranking
286

Overview

Pantelis Georgiou is affiliated with Imperial College London in the United Kingdom. Their research spans multiple fields with a primary focus on medicine, engineering, and biochemistry, genetics, and molecular biology. The scientist's work is also specialized within several subfields including biomedical engineering, molecular biology, endocrinology, diabetes and metabolism, surgery, and electrical and electronic engineering.

The main topics in Pantelis Georgiou's body of work cover areas such as biosensors and analytical detection, diabetes management and research, analytical chemistry and sensors, advanced biosensing and bioanalysis techniques, pancreatic function and diabetes, molecular biology techniques and applications, and mosquito-borne diseases and control.

The scientist frequently publishes research in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Transactions on Biomedical Circuits and Systems
  • IEEE Journal of Biomedical and Health Informatics
  • International Journal of Infectious Diseases
  • IEEE Sensors Journal

Frequent coauthors collaborating with Pantelis Georgiou include Jesús Rodríguez-Manzano, Nicolas Moser, Alison Holmes, Kenny Malpartida-Cardenas, and Luca Miglietta.

Notable recent papers authored by or contributed to Pantelis Georgiou include:

  • Deep Learning for Diabetes: A Systematic Review, 2020, IEEE Journal of Biomedical and Health Informatics
  • Adeno-associated virus 2 infection in children with non-A-E hepatitis, 2023, Nature
  • Handheld Point-of-Care System for Rapid Detection of SARS-CoV-2 Extracted RNA in under 20 min, 2021, ACS Central Science
  • Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes, 2020, Journal of Healthcare Informatics Research
  • Genomic investigations of unexplained acute hepatitis in children, 2023, Nature

Best Publications

  • Machine learning for clinical decision support in infectious diseases: a narrative review of current applications.

    N. Peiffer-Smadja;N. Peiffer-Smadja;T.M. Rawson;R. Ahmad;A. Buchard

  • Simultaneous DNA amplification and detection using a pH-sensing semiconductor system

    Christofer Toumazou;Leila M Shepherd;Samuel C Reed;Ginny I Chen

  • Convolutional Recurrent Neural Networks for Glucose Prediction

    Kezhi Li;John Daniels;Chengyuan Liu;Pau Herrero

  • ISFETs in CMOS and Emergent Trends in Instrumentation: A Review

    Nicolas Moser;Tor Sverre Lande;Christofer Toumazou;Pantelis Georgiou

  • Deep Learning for Diabetes: A Systematic Review

    Taiyu Zhu;Kezhi Li;Pau Herrero;Pantelis Georgiou

  • A systematic review of clinical decision support systems for antimicrobial management: are we failing to investigate these interventions appropriately?

    T.M. Rawson;L.S.P. Moore;B. Hernandez;E. Charani

  • ISFET characteristics in CMOS and their application to weak inversion operation

    Pantelis Georgiou;Christofer Toumazou

  • GluNet: A Deep Learning Framework for Accurate Glucose Forecasting

    Kezhi Li;Chengyuan Liu;Taiyu Zhu;Pau Herrero

  • Microneedle biosensors for real-time, minimally invasive drug monitoring of phenoxymethylpenicillin: a first-in-human evaluation in healthy volunteers.

    Timothy M Rawson;Timothy M Rawson;Timothy M Rawson;Sally A N Gowers;David M E Freeman;Richard C Wilson;Richard C Wilson

  • A novel voltage-clamped CMOS ISFET sensor interface

    L. Shepherd;P. Georgiou;C. Toumazou

  • Handheld Point-of-Care System for Rapid Detection of SARS-CoV-2 Extracted RNA in under 20 min

    Jesus Rodriguez-Manzano;Kenny Malpartida-Cardenas;Nicolas Moser;Ivana Pennisi

  • A pilot study in humans of microneedle sensor arrays for continuous glucose monitoring

    Sanjiv Sharma;Ahmed El-Laboudi;Monika Reddy;Narvada Jugnee

  • Dilated Recurrent Neural Networks for Glucose Forecasting in Type 1 Diabetes

    Taiyu Zhu;Kezhi Li;Jianwei Chen;Pau Herrero

  • A Scalable ISFET Sensing and Memory Array With Sensor Auto-Calibration for On-Chip Real-Time DNA Detection

    Nicolas Moser;Jesus Rodriguez-Manzano;Tor Sverre Lande;Pantelis Georgiou

  • Optimizing antimicrobial use: challenges, advances and opportunities.

    Timothy M. Rawson;Timothy M. Rawson;Richard C. Wilson;Richard C. Wilson;Danny O’Hare;Pau Herrero

  • Vital Sign Monitoring Through the Back Using an UWB Impulse Radar With Body Coupled Antennas

    Elliott Schires;Pantelis Georgiou;Tor Sverre Lande

  • Advanced Insulin Bolus Advisor Based on Run-To-Run Control and Case-Based Reasoning

    Pau Herrero;Peter Pesl;Monika Reddy;Nick Oliver

  • A Deep Learning Algorithm for Personalized Blood Glucose Prediction.

    Taiyu Zhu;Kezhi Li;Pau Herrero;Jianwei Chen

  • A Robust ISFET pH-Measuring Front-End for Chemical Reaction Monitoring

    Yuanqi Hu;Pantelis Georgiou

  • Quantitative and rapid Plasmodium falciparum malaria diagnosis and artemisinin-resistance detection using a CMOS Lab-on-Chip platform.

    Kenny Malpartida-Cardenas;Nicholas Miscourides;Jesus Rodriguez-Manzano;Ling-Shan Yu

  • An Extended CMOS ISFET Model Incorporating the Physical Design Geometry and the Effects on Performance and Offset Variation

    Yan Liu;P. Georgiou;T. Prodromakis;T. G. Constandinou

Frequent Co-Authors

Alison Holmes
Alison Holmes Imperial College London
C. Toumazou
C. Toumazou Imperial College London
Themistoklis Prodromakis
Themistoklis Prodromakis University of Southampton
Sandro Carrara
Sandro Carrara École Polytechnique Fédérale de Lausanne
William W. Hope
William W. Hope University of Liverpool
Shiranee Sriskandan
Shiranee Sriskandan Imperial College London
Jake Baum
Jake Baum University of New South Wales
Anthony E. G. Cass
Anthony E. G. Cass Imperial College London
Michael Levin
Michael Levin Tufts University
Matthew C. Fisher
Matthew C. Fisher Imperial College London

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