Mohammed Janneh

Dr. Mohammed Janneh

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 September 2022 in Optics and Lasers in Engineering
Verified
Journal Article
Closed access
FBF.A. Bruno
F.A. Bruno
MJMohammed Janneh
Mohammed Janneh
AGArun Gunda
Arun Gunda
RKR. Kyselica
R. Kyselica
PSP. Stajanca
P. Stajanca
ACA. Cusano
A. Cusano

22 February 2023 in Sensors
Verified
Journal Article
Open access
PDF file
ACAntonello Cutolo
Antonello Cutolo
RBRomeo Bernini
Romeo Bernini
GBGaia Maria Maria Berruti
Gaia Maria Maria Berruti
Giovanni BreglioGiovanni Breglio
Giovanni Breglio
Francesco Antonio BrunoFrancesco Antonio Bruno
Francesco Antonio Bruno
Stefania CampopianoStefania Campopiano
Stefania Campopiano
The employability of photonics technology in the modern era’s highly demanding and sophisticated domain of aerospace and submarines has been an appealing challenge for the scientific communities. In this paper, we review our main results achieved so far on the use of optical fiber sensors for safety and security in innovative aerospace and submarine applications. In particular, recent results of in-field applications of optical fiber sensors in aircraft monitoring, from a weight and balance analysis to vehicle Structural Health Monitoring (SHM) and Landing Gear (LG) monitoring, are presented and discussed. Moreover, underwater fiber-optic hydrophones are presented from the design to marine application.

17 November 2023 in Cells
Verified
Journal Article
Open access
PDF file
CEConcetta Esposito
Concetta Esposito
MJMohammed Janneh
Mohammed Janneh
SSSara Spaziani
Sara Spaziani
VCVincenzo Calcagno
Vincenzo Calcagno
Mario Luca BernardiMario Luca Bernardi
Mario Luca Bernardi
Andrea CusanoAndrea Cusano
Andrea Cusano
We investigated the possibility of using Raman spectroscopy assisted by artificial intelligence methods to identify liver cancer cells and distinguish them from their Non-Tumor counterpart. To this aim, primary liver cells (40 Tumor and 40 Non-Tumor cells) obtained from resected hepatocellular carcinoma (HCC) tumor tissue and the adjacent non-tumor area (negative control) were analyzed by Raman micro-spectroscopy. Preliminarily, the cells were analyzed morphologically and spectrally. Then, three machine learning approaches, including multivariate models and neural networks, were simultaneously investigated and successfully used to analyze the cells’ Raman data. The results clearly demonstrate the effectiveness of artificial intelligence (AI)-assisted Raman spectroscopy for Tumor cell classification and prediction with an accuracy of nearly 90% of correct predictions on a single spectrum.

23 March 2023 in Sensors
Verified
Journal Article
Open access
PDF file
SGSergio Guardato
Sergio Guardato
RRRosario Riccio
Rosario Riccio
MJMohammed Janneh
Mohammed Janneh
Francesco Antonio BrunoFrancesco Antonio Bruno
Francesco Antonio Bruno
Marco PiscoMarco Pisco
Marco Pisco
GIGiovanni Iannaccone
Giovanni Iannaccone
An innovative fiber-optic hydrophone (FOH) was developed and investigated via an experiment at sea; it is capable of operating at a very low frequency of the seismic spectrum and detecting small magnitude earthquakes. The FOH exploits an optical fiber coil wrapped around a sensitive mandrel in a Michelson interferometric configuration. The FOH operated for about seven days at a water depth of 40 m, in the Campi Flegrei volcanic area (Southern Italy), and a few meters from a well-calibrated PZT hydrophone used as a reference. Thirty-three local earthquakes occurred during the simultaneous operation of the two hydrophones, allowing a straightforward comparison of the recordings. The local earthquakes occurred at an epicentral distance less than 2.5 km from the site of recording, and were estimated to be in the range of magnitude from −0.8 to 2.7. The analysis of the recorded earthquake waveforms in the frequency and time domains allowed retrieving the response function of the FOH in the frequency range from 5 to 70 Hz. The FOH responsivity in terms of acoustic pressure reached about 230 nm/Pa and was flat in the studied frequency range. Due to the high quality of the FOH recordings, this equipment is suitable for applications addressing submarine volcanic activity and the background seismicity of active faults in the ocean.

16 March 2023 in Sensors
Verified
Journal Article
Open access
PDF file
Giovanni BreglioGiovanni Breglio
Giovanni Breglio
RBRomeo Bernini
Romeo Bernini
GBGaia Maria Maria Berruti
Gaia Maria Maria Berruti
Francesco Antonio BrunoFrancesco Antonio Bruno
Francesco Antonio Bruno
SBSalvatore Buontempo
Salvatore Buontempo
ACAndrea Cusano
Andrea Cusano
In order to complete this set of three companion papers, in this last, we focus our attention on environmental monitoring by taking advantage of photonic technologies. After reporting on some configurations useful for high precision agriculture, we explore the problems connected with soil water content measurement and landslide early warning. Then, we concentrate on a new generation of seismic sensors useful in both terrestrial and under water contests. Finally, we discuss a number of optical fiber sensors for use in radiation environments.