Dr Delaram Jarchi

School of Computer Science and Electronic Engineering (CSEE)
Dr Delaram Jarchi



Dr Delaram Jarchi is a Lecturer in AI and machine learning at CSEE. She received her PhD degree in Biomedical Engineering from University of Surrey in 2011. Following completion of the PhD study, she joined the Body Sensor Network group, at the Hamlyn Centre for Robotic Surgery, Imperial College London. Her research was on wearable sensors for gait analysis applications. Before starting an academic position, she was part of the Computational Health Informatics Lab at University of Oxford and a research member of Wolfson College Oxford. Her research on accelerometry based analysis of respiratory rate has been filed as a patent application with Oxford University Innovation Ltd and licensed. Her recent research is focused on designing new algorithms and validation of commercial wearable sensors for robust estimation of physiological parameters such as heart rate, respiratory rate and blood oxygen saturation level in very unobtrusive ways. The objective of her research is to develop the next generation of smart wearables suitable for use in clinical settings. Her research is published in various IEEE journals. She is a senior member of IEEE and was an associate member of the Bio Imaging and Signal Processing (BISP) technical committee, IEEE Signal Processing Society. She is an active reviewer for various conferences and journals such as ICASSP, IEEE-JBHI (one of the 2014 best reviewers) and Sensors. She is the second author of the Body Sensor Networks & Algorithm Design book; an imprint of John Wiley & Sons Ltd published in 2020. She is a panel member of Royal Society International Exchanges committee, Editorial board member of Scientific Reports journal, Nature (guest editor for remote health monitoring), Associate editor of IEEE Transactions on neural systems and rehabilitation engineering (TNSRE) and chair of member benefit subcommittee of membership development committee, IEEE Signal Processing Society and Associate editor for EMBC2022 and EMBC2023. If you are interested to join the group for a PhD degree, please contact Dr Delaram Jarchi,


  • PhD University of Surrey,


University of Essex

  • Lecturer, Computer Science and Electronics, University of Essex (1/5/2019 - present)

Other academic

  • Lecturer, Computing, University of Kent (1/8/2018 - 30/4/2019)

  • Postdoctoral Researcher, Engineering Science, University of Oxford (16/10/2016 - 31/7/2018)

  • Senior Research Associate, Electrical and Electronic Engineering, University of Bristol (11/7/2016 - 14/10/2016)

  • Research Associate, Electrical and Electronic Engineering, University of Manchester (29/6/2015 - 28/6/2016)

  • Research Associate, Imperial College London (7/9/2011 - 26/6/2015)

Teaching and supervision

Current teaching responsibilities

  • Introduction to Programming (CE151)

  • Team Project Challenge (CE201)

  • Introduction to Programming for Data Science and AI (CE521)


Journal articles (24)

Boukhennoufa, I., Jarchi, D., Zhai, X., Utti, V., Sanei, S., Lee, TKM., Jackson, J. and McDonald-Maier, KD., (2023). A novel model to generate heterogeneous and realistic time-series data for post-stroke rehabilitation assessment. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 1-1

Andreu-Perez, J., Perez-Espinosa, H., Timonet, E., Kiani, M., Giron-Perez, MI., Benitez-Trinidad, AB., Jarchi, D., Rosales, A., Gkatzoulis, N., Reyes-Galaviz, OF., Torres, A., Alberto Reyes-Garcia, C., Ali, Z. and Rivas, F., (2022). A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels. IEEE Transactions on Services Computing. 15 (3), 1220-1232

Jarchi, D., Kaler, J. and Sanei, S., (2021). Lameness Detection in Cows Using Hierarchical Deep Learning and Synchrosqueezed Wavelet Transform. IEEE Sensors Journal. 21 (7), 9349-9358

Procházka, A., Charvátová, H., Vyšata, O., Jarchi, D. and Sanei, S., (2021). Discrimination of cycling patterns using accelerometric data and deep learning techniques. Neural Computing and Applications. 33 (13), 7603-7613

Jalali-najafabadi, F., Gadepalli, C., Jarchi, D. and Cheetham, BMG., (2021). Acoustic analysis and digital signal processing for the assessment of voice quality. Biomedical Signal Processing and Control. 70, 103018-103018

Jarchi, D., Andreu-Perez, J., Kiani, M., Vysata, O., Kuchynka, J., Prochazka, A. and Sanei, S., (2020). Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning. Sensors. 20 (9), 2594-2594

Jarchi, D., Charlton, P., Pimentel, M., Casson, A., Tarassenko, L. and Clifton, DA., (2019). Estimation of respiratory rate from motion contaminated photoplethysmography signals incorporating accelerometry. Healthcare Technology Letters. 6 (1), 19-26

Lee, R., Jarchi, D., Perera, R., Jones, A., Cassimjee, I., Handa, A., Clifton, DA., Bellamkonda, K., Woodgate, F., Killough, N., Maistry, N., Chandrashekar, A., Darby, CR., Halliday, A., Hands, LJ., Lintott, P., Magee, TR., Northeast, A., Perkins, J. and Sideso, E., (2018). Applied Machine Learning for the Prediction of Growth of Abdominal Aortic Aneurysm in Humans. EJVES Short Reports. 39, 24-28

Jarchi, D., Pope, J., Lee, TKM., Tamjidi, L., Mirzaei, A. and Sanei, S., (2018). A Review on Accelerometry-Based Gait Analysis and Emerging Clinical Applications. IEEE Reviews in Biomedical Engineering. 11, 177-194

Jarchi, D., Salvi, D., Tarassenko, L. and Clifton, D., (2018). Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions. Sensors. 18 (11), 3705-3705

Jarchi, D., Rodgers, SJ., Tarassenko, L. and Clifton, DA., (2018). Accelerometry-Based Estimation of Respiratory Rate for Post-Intensive Care Patient Monitoring. IEEE Sensors Journal. 18 (12), 4981-4989

Jarchi, D. and Casson, AJ., (2017). Towards Photoplethysmography-Based Estimation of Instantaneous Heart Rate During Physical Activity. IEEE Transactions on Biomedical Engineering. 64 (9), 2042-2053

Monajemi, S., Jarchi, D., Ong, S-H. and Sanei, S., (2017). Cooperative Particle Filtering for Tracking ERP Subcomponents from Multichannel EEG. Entropy. 19 (5), 199-199

Crewther, BT., Shetty, K., Jarchi, D., Selvadurai, S., Cook, CJ., Leff, DR., Darzi, A. and Yang, G-Z., (2016). Skill acquisition and stress adaptations following laparoscopic surgery training and detraining in novice surgeons. Surgical Endoscopy. 30 (7), 2961-2968

Jarchi, D., Lo, B., Wong, C., Ieong, E., Nathwani, D. and Yang, G-Z., (2016). Gait Analysis From a Single Ear-Worn Sensor: Reliability and Clinical Evaluation for Orthopaedic Patients. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 24 (8), 882-892

Casson, AJ., Vazquez Galvez, A. and Jarchi, D., (2016). Gyroscope vs. accelerometer measurements of motion from wrist PPG during physical exercise. ICT Express. 2 (4), 175-179

Jarchi, D. and Casson, A., (2016). Description of a Database Containing Wrist PPG Signals Recorded during Physical Exercise with Both Accelerometer and Gyroscope Measures of Motion. Data. 2 (1), 1-1

Kwasnicki, RM., Hettiaratchy, S., Jarchi, D., Nightingale, C., Wordsworth, M., Simmons, J., Yang, G-Z. and Darzi, A., (2015). Assessing Functional Mobility After Lower Limb Reconstruction. Annals of Surgery. 261 (4), 800-806

Jarchi, D., Wong, C., Kwasnicki, RM., Heller, B., Tew, GA. and Guang-Zhong, Y., (2014). Gait Parameter Estimation From a Miniaturized Ear-Worn Sensor Using Singular Spectrum Analysis and Longest Common Subsequence. IEEE Transactions on Biomedical Engineering. 61 (4), 1261-1273

Escudero, J., Sanei, S., Jarchi, D., Abásolo, D. and Hornero, R., (2011). Regional coherence evaluation in mild cognitive impairment and Alzheimer's disease based on adaptively extracted magnetoencephalogram rhythms. Physiological Measurement. 32 (8), 1163-1180

Jarchi, D., Sanei, S., Principe, JC. and Makkiabadi, B., (2011). A New Spatiotemporal Filtering Method for Single-Trial Estimation of Correlated ERP Subcomponents. IEEE Transactions on Biomedical Engineering. 58 (1), 132-143

Jarchi, D., Sanei, S., Mohseni, HR. and Lorist, MM., (2011). Coupled particle filtering: A new approach for P300-based analysis of mental fatigue. Biomedical Signal Processing and Control. 6 (2), 175-185

Boostani, R., Dehzangi, O., Jarchi, D. and Zolghadri, MJ., (2010). An efficient pattern classification approach: Combination of weighted LDA with weighted nearest neighbor. Neural Network World. 20 (5), 621-635

Jarchi, D., Boostani, R., Taheri, M. and Sanei, S., (2009). Seizure source localization using a hybrid second order blind identification and extended rival penalized competitive learning algorithm. Biomedical Signal Processing and Control. 4 (2), 108-117

Books (1)

Sanei, S., Jarchi, D. and Constantinides, AG., (2020). Body Sensor Networking, Design and Algorithms. John Wiley & Sons. 1119390028. 9781119390022

Conferences (36)

Salman, O., Kampouridis, M. and Jarchi, D., (2022). Trading Strategies Optimization by Genetic Algorithm under the Directional Changes Paradigm

Ngo, D., Pham, L., Hoang, T., Kolozali, S. and Jarchi, D., (2022). Audio-Based Deep Learning Frameworks for Detecting COVID-19

Long, X., Kampouridis, M. and Jarchi, D., (2022). An in-depth investigation of genetic programming and nine other machine learning algorithms in a financial forecasting problem

Ngo, D., Pham, L., Hoang, T., Kolozali, S. and Jarchi, D., (2022). Audio-Based Deep Learning Frameworks for Detecting COVID-19

Sanei, S., Took, CC., Jarchi, D. and Prochazka, A., (2020). Eeg Connectivity - Informed Cooperative Adaptive Line Enhancer for Recognition of Brain State

Jarchi, D., Prochazka, A. and Sanei, S., (2020). A New Spectrum Driven Index for the Assessment of ECG Signal Quality

Prochazka, A., Vysata, O., Kuchynka, J., Jarchi, D. and Sanei, S., (2020). Comparative Study of Deep Learning Based Sleep Scoring Methods

Jarchi, D., Sanei, S. and Prochazka, A., (2019). Detection of Sleep Apnea/hypopnea Events Using Synchrosqueezed Wavelet Transform

Jarchi, D. and Sanei, S., (2019). Derivation of Respiratory Effort from Photoplethysmography

Jarchi, D., Mahdi, A., Tarassenko, L. and Clifton, DA., (2018). Visualisation of long-term ECG signals applied to post-intensive care patients

Jarchi, D., Salvi, D., Velardo, C., Mahdi, A., Tarassenko, L. and Clifton, DA., (2018). Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings

Sanei, S., Geman, O., Monajemi, S., Eftaxias, K. and Jarchi, D., (2017). Cooperative learning for biomedical signal processing and recognition

Jarchi, D. and Casson, AJ., (2016). Estimation of heart rate from foot worn photoplethysmography sensors during fast bike exercise

Jarchi, D., Peters, A., Lo, B., Kalliolia, E., Di Giulio, I., Limousin, P., Day, BL. and Yang, G-Z., (2015). Assessment of the e-AR sensor for gait analysis of Parkinson;s Disease patients

Jarchi, D., Lo, B., Ieong, E., Nathwani, D. and Yang, G-Z., (2014). Validation of the e-AR Sensor for Gait Event Detection Using the Parotec Foot Insole with Application to Post-Operative Recovery Monitoring

Jarchi, D. and Yang, G-Z., (2013). Singular spectrum analysis for gait patterns

Bouarfa, L., Bembnowicz, P., Crewther, B., Jarchi, D. and Yang, G-Z., (2013). Profiling visual and verbal stress responses using electrodermal heart rate and hormonal measures

Jarchi, D., Atallah, L. and Yang, G-Z., (2012). Transition Detection and Activity Classification from Wearable Sensors Using Singular Spectrum Analysis

Makkiabadi, B., Jarchi, D. and Sanei, S., (2012). A new time domain convolutive BSS of heart and lung sounds

Kwasnicki, RM., Low, DA., Wong, C., Jarchi, D., Lo, B., Mathias, CJ., Darzi, A. and Yang, GZ., (2012). Investigating the feasibility of using objective motion data to assist the diagnosis and management of cardiovascular autonomic dysfunction

Makkiabadi, B., Jarchi, D. and Sanei, S., (2011). Blind separation and localization of correlated P300 subcomponents from single trial recordings using extended PARAFAC2 tensor model

Makkiabadi, B., Jarchi, D., Abolghasemi, V. and Sanei, S., (2011). A geometrically constrained multimodal time domain approach for convolutive blind source separation

Jarchi, D., Makkiabadi, B. and Sanei, S., (2011). Instantaneous phase tracking of oscillatory signals using emd and Rao-Blackwellised particle filtering

Abolghasemi, V., Jarchi, D. and Sanei, S., (2010). A robust approach for optimization of the measurement matrix in Compressed Sensing

Jarchi, D., Makkiabadi, B. and Sanei, S., (2010). Mental fatigue analysis by measuring synchronization of brain rhythms incorporating enhanced empirical mode decomposition

Jarchi, D., Makkiabadi, B. and Sanei, S., (2010). A new spatiotemporal filtering method for single-trial ERP subcomponent estimation

Jarchi, D., Abolghasemi, V. and Sanei, S., (2009). Source localization of brain rhythms by empirical mode decomposition and spatial notch filtering

Abadi, BM., Jarchi, D. and Sanei, S., (2009). Simultaneous localization and separation of biomedical signals by tensor factorization

Jarchi, D., Makkiabadi, B. and Sanei, S., (2009). Estimation of trial to trial variability of P300 subcomponents by coupled Rao-blackwellised particle filtering

Abadi, BM., Sarrafzadeh, A., Jarchi, D., Abolghasemi, V. and Sanei, S., (2009). Semi-blind signal separation and channel estimation in MIMO communication systems by tensor factorization

Jarchi, D., Abadi, BM. and Sanei, S., (2009). Separating and tracking ERP subcomponents by constrained particle filtering

Jarchi, D., Abadi, BM. and Sanei, S., (2009). Separating and tracking ERP subcomponents by constrained particle filtering.

Jarchi, D., Taheri, M., Boostani, R. and Sanei, S., (2008). Localization of seizure sources using blind identification and a new clustering algorithm


Jarchi, D., Boostani, R. and Sanei, S., (2007). Seizure Source Selection via a Hybrid Second Order Blind Identification and Gap Statistic Algorithm

Jarchi, D. and Boostani, R., (2006). A New Weighted LDA Method in Comparison to Some Versions of LDA

Reports and Papers (1)

Andreu-Perez, J., Pérez-Espinos, H., Timone, E., Girón-Pérez, MI., Kiani, M., Benitez-Trinidad,, AB., Jarchi, D., Rosales-Pérez, A., Ali, Z., Gatzoulis, N., Reyes-Galaviz, OF., Torres-García, AA., Reyes-García, CA. and Rivas, F., (2020). A Novel Deep Learning Based Recognition Method and Web-App for Covid-19 Infection Test from Cough Sounds with a Clinically Validated Dataset

Patents (1)


Grants and funding


Exploring determinants of Mental Health Resilience in Greenstead

North East Essex Clinical Commissioning Group


Soil Moisture Sense KTP Application R2_2022

Innovate UK (formerly Technology Strategy Board)

Augmented Engagement in Sustainable Cooperative Music Production

University of Essex (ESRC IAA)


Lewden KTP




5B.534, Colchester Campus

Academic support hours:

Thursday at 4pm (zoom: 7959597720)

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