Dr Soumyajyoti Maji

B.Eng. M.E., PhD

Contact Details

Lecturer
Room: ENG-3023
Alice Perry Engineering Building
T: +353 (0)91 492597
E: soumyajyoti.maji@universityofgalway.ie
 
researcher
 

Biography

Dr. Soumyajyoti Maji is currently a Lecturer in Medical Electronics at the University of Galway. Before joining the University of Galway, Dr. Maji gained industry experience as a Product Development Engineer at Intel R&D Ireland, where he worked for a year from 2020 to 2021. In 2021, he transitioned back to academia as a Postdoctoral Research Fellow at Harvard University, USA. During his time at Harvard, Dr. Maji worked at the intersection of electrophysiology and neuroscience. 

Dr. Maji's earned his Ph.D. degree in low-power biomedical circuit design from the University of Dublin, Trinity College, Ireland, in 2021. Prior to this, he completed his M.Eng.Sc. degree in electronic and computer engineering at University College Dublin, Ireland, in 2016 and the B.Tech. degree in electronics and communication engineering from the West Bengal University of Technology, Kolkata, India, in 2015.

At present, Dr. Maji's research is centered on low-power bioinstrumentation for continuous health monitoring. Additionally, he is involved in the development of flexible sensors for physiological monitoring and contributes to the creation of assistive devices for neurorehabilitation. Dr. Maji was awarded with the Best Graduate Paper award at the prestigious 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA) held in Rome, Italy.

Research Interests

  • Sensors and Transducers for medical systems
  • Low power bio-instrumentation & application
  • Wearable devices for continuous physical & healthcare monitoring
  • Meteorological characterisation of medical devices & regulatory issues
  • Bio-signal processing for diagnostics
  • Assistive medical devices for neurorehabilitation
  • Low power embedded ML
Prospective PhD students: I am seeking a motivated Ph.D. candidate to investigate continuous epilepsy monitoring using innovative low-power technologies. The project aims to design high performance ultra-low power analogue front end (AFE) system combined with edge computing ML algorithms that can sense, analyse, process and autonomously act to detect incipient events such as epileptic seizures. The PhD Graduate Student will be responsible for conducting research, attending departmental meetings, and presenting research findings in different forums. The candidate is expected to start by September 2024.

Candidate Profile:
  • Bachelor's/Master's degree in electronic engineering.
  • Excellent hands-on skills with PCB/Veroboard prototyping.
  • Experience with test measurement equipment, including Power Supplies, Oscilloscope, Signal Generators, DAQ, etc.
  • Proficiency in circuit simulation tools such as LTSpice/TINA/Multisim.
  • Candidates with machine learning skills, particularly in embedded ML, is desired.
  • Proficiency in computer programming languages such as Python, C++, and Matlab.
  • Positive attitude towards collaborative teamwork in an international environment.
  • Experience in peer-reviewed conference/journal publications will be preferred.

Structured PhD: The project will be undertaken as a 4-year structured PhD programme at the University of Galway, which will involve the completion of 30 ECTS credits of level 9 taught courses. Every PhD student, in addition to a supervisor, has their own Graduate Research Committee (GRC) of three academic staff members. The formal role of the GRC is to review the student's progress annually and to make a recommendation to the College on progression into the next year of the programme.

Stipend Amount: The work is supported and funded for a duration of four years by the College of Science & Engineering, University of Galway. The annual stipend is 22,000EU and the tuition fees (EU/Non-EU) are waived in full.

Application Process: Interested candidates are invited to submit their CV, a cover letter, a statement of personal research interests, academic transcripts, and contact information for two references to soumyajyoti.maji@universityofgalway.ie. The deadline for application is 8th March 2024.

Research Projects

  Project Start Date End Date
Continuous epilepsy monitoring using low power sensors & TinyML 02-SEP-24 31-AUG-28
Reliable detection of atrial fibrillation via a 90-day wearable telemetry system

Peer Reviewed Journals

  Year Publication
(2023) 'A Micropower High-Performance ECG Recording Amplifier'
Maji, Soumyajyoti and Burke, Martin J. (2023) 'A Micropower High-Performance ECG Recording Amplifier'. IEEE Transactions on Instrumentation and Measurement, 72 :1-12 [DOI] [Details]
(2021) 'Electrical characterization of conductive textile based ECG recording electrodes'
Soumyajyoti Maji and Joshi Dookhy and Martin J. Burke (2021) 'Electrical characterization of conductive textile based ECG recording electrodes'. Measurement: Sensors, 15 [DOI] [Details]
(2020) 'Determining the input impedance of ECG amplifiers using accurate electrode modelling'
Maji, Soumyajyoti and Burke, Martin J (2020) 'Determining the input impedance of ECG amplifiers using accurate electrode modelling'. Biomedical Physics & Engineering Express, 6 (1) [DOI] [Details]
(2020) 'Establishing the Input Impedance Requirements of ECG Recording Amplifiers'
Maji, Soumyajyoti and Burke, Martin J. (2020) 'Establishing the Input Impedance Requirements of ECG Recording Amplifiers'. IEEE Transactions on Instrumentation and Measurement, 69 (3):825-835 [DOI] [Details]
(2020) 'Noise performance of textile-based dry ECG recording electrodes'
Maji, Soumyajyoti and Burke, Martin J. (2020) 'Noise performance of textile-based dry ECG recording electrodes'. Electronics Letters, 57 (2):45-48 [DOI] [Details]

Conference Publications

  Year Publication
(2023) 2023 IEEE Sensors Applications Symposium (SAS)
Soumyajyoti Maji, Sebastian Roubert Martinez, Robert D. Howe (2023) Continuous Surface Electromyography and Bioimpedance Sensing from the Same Electrodes 2023 IEEE Sensors Applications Symposium (SAS) Ottawa, Canada, , 18-JUL-23 - 20-JUL-23 , pp.1-6 [DOI] [Details]
(2022) 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
Maji, Soumyajyoti and Burke, Martin J. (2022) A Bootstrapping Technique to Boost Input Impedance of ECG Recording Amplifiers 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) , pp.1-6 [Details]
(2020) 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT
Maji, Soumyajyoti and Massaroni, Carlo and Schena, Emiliano and Silvestri, Sergio (2020) Contactless Heart Rate Monitoring Using A Standard RGB Camera 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT , pp.729-733 [Details]
(2019) 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
Massaroni, Carlo and Schena, Emiliano and Silvestri, Sergio and Maji, Soumyajyoti (2019) Comparison of two methods for estimating respiratory waveforms from videos without contact 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA) , pp.1-6 [Details]
(2018) 2018 IEEE SENSORS
Maji, Soumyajyoti and Burke, Martin J. (2018) The Skin-Electrode Interface Impedance and the Transient Performance of ECG Recording Amplifiers 2018 IEEE SENSORS , pp.1-4 [Details]
(2018) 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
Maji, Soumyajyoti and Burke, Martin J. (2018) Effect of Electrode Impedance on the Transient Response of ECG Recording Amplifiers 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA) , pp.1-6 [DOI] [Details]

Honours and Awards

  Year Title Awarding Body
2019 Visiting Research Fellowship Campus Biomedical University, Rome, Italy
2018 Best Graduate Paper IEEE Medical Measurements & Applications
2017 Trinity Research Studentship Trinity College Dublin, Ireland
2015 UCD Global Graduate Scholarship University College Dublin, Ireland

Professional Associations

  Association Function From / To
IEEE Instrumentation and Measurement Society Member /

Committees

  Committee Function From / To
VersICaL Project (co-funded by EU Horizon 2020), NSAI National Metrology Laboratory, Dublin, Ireland Member of Stakeholder Committee /
TC-10 IEEE Standards Committee- Waveform Generation Measurement & Analysis, IEEE IMS Member /
TC-25 Medical and Biological Measurements, IEEE IMS Member /

Employment

  Employer Position From / To
Intel R&D, Leixlip, Ireland Product Development Engineer 21-SEP-20 / 29-OCT-21
TU Dublin, Kevin Street, Dublin, Ireland Part Time Assistant Lecturer 29-JAN-19 / 28-JUN-19
Harvard University, Cambridge, USA Postdoc Research Fellow 01-NOV-21 / 28-APR-23

Languages

  Language
English
Bengali
Hindi

Education

  Year Institution Qualification Subject
2021 Trinity College Dublin, Ireland Doctor of Philosophy (PhD) Electronic and Electrical Engineering
2015 West Bengal University of Technology, Kolkata, India Bachelor of Technology (BTech) Electronics and Communication Engineering
2016 University College Dublin (UCD), Ireland Master of Engineering Science (MEngSc) Electronic and Computer Engineering

Community Engagement

  Title Type From / To
Research (e.g. Community based research) Research Seminar /
Research (e.g. Community based research) Research Seminar /

Reviews

  Journal Role
Ieee Sensors Journal Reviewer
Ieee Transactions On Instrumentation And Measurement Reviewer
Biomedical Physics & Engineering Express Reviewer
International Journal Of Environmental Research And Public Health Reviewer

Modules Taught

  Term/Year Module Title Module Code Subject / Desc
2024 Fundamentals of Engineering EI140 Medical Electronics
2024 Bioinstrumentation Design 2 EE5124
2024 Fundamentals of Electromagnetic Theory EE232