Dr Fariborz Motallebi
BSc MEng PhD
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Current Funded Research Projects
Start: 15-07-2020 / End: 14-07-2021
Team: UK Principal Investigator: Dr Eldad Avital Partners: India – VIT Chenai Prof Nithya Venkatesan, IIT Madras Prof Abdus Samad Consultant: Emeritus Prof Clive Beggs, Leeds Beckett Researchers: QMUL PhD student: Yang Chen QMUL MEng team: Lidia Garcia, Muneeb Khawar, Ayman Mohammed, Maham Sandhu, Taylor Smith, Dena Rahman India research assistants: Rishav Raj, Mahesh Ravindra, Saket Kapse We develop a stand alone air disinfection device capable of inactivating the SARS-CoV-2 virus (Covid-19) and Mycobacterium tuberculosis (tuberculosis (TB)). The devise utilises a novel particle separation technology, which boosts the air disinfection capabilities of an ultraviolet-C (UV-C) light source, allowing much larger quantities of air to be purified than would normally be the case. If successful, the device will represent a step-change on current air disinfection technologies and should prove helpful in combating the transmission of airborne0 (aerosol) diseases such as Covid-19 and TB within buildings. Light in the UV-C region produces photons that are absorbed by nucleic acids (both DNA and RNA) to form dimers (fused base pairs) that impair replication of pathogenic viruses and bacteria , greatly reducing their ability cause infection. It has been shown that UV-C light can inactivate coronaviruses and thus there is good reason to believe that the SARS-CoV-2 virus will be susceptible to UV irradiation . Similarly, it has been shown that TB can be inactivated using UV-C light . Both TB and Covid-19 are infectious diseases that are transmitted via aerosolised respiratory droplets produced indoors. As such, UV-C air disinfection devices have great potential to inhibit the spread of these diseases in room spaces if used appropriately. However, such devices are limited by the small air flow rate that they can handle. This is because pathogenic microbes often require high UV irradiation doses, with the result that the air velocity through such devices needs to be very low, meaning that they can only disinfect small amounts of air. However, by utilising particle separation it is possible to greatly enhance the irradiation capabilities of the device, thus allowing much larger quantities of air to be disinfected.  Beggs CB (2002). A quantitative method for evaluating the photoreactivation of ultraviolet damaged microorganisms. Photochemical and Photobiological Sciences. 2002. 1: 431-437, https://doi.org/10.1039/B202801H  Beggs CB, Avital EJ (2020). Upper-room ultraviolet air disinfection might help to reduce COVID-19 transmission in buildings: a feasibility study. PeerJ 8:e10196, https://peerj.com/articles/10196/  Escombe AR, et al (2009). Upper-room ultraviolet light and negative air ionization to prevent tuberculosis transmission. PLoS Med 6 (3), e1000043, https://doi.org/10.1371/journal.pmed.1000043
Previous Funded Research Projects
Start: 20-03-2019 / End: 19-03-2021
High fidelity flow-structural dynamics simulations of wind and water turbines will be pursued using advanced computing clusters and complemented by wind tunnel tests. The results will be analysed and used to derive new fast models that will support future development of new renewable energy devices extracting kinetic energy from the wind and water flows.
Start: 01-12-2016 / End: 25-03-2017
Low fidelity modelling of coaxial propeller
Start: 01-04-2014 / End: 31-03-2016
Computational and experimental studies of blade and jet noise are pursued through collaborative research with Beihang.
Other Research Projects
Aerodynamics of sport vehicles such as Bobsleigh, racing bicylcle, sport cars have been part of our reserach activities. The main aim of this research has been to improve the performance of these vehicles using scaled down wind tunnel testing.
There is a growing interest in applying active flow and noise control in various engineering applications. 1. Jet noise continues to be a topic affecting aviation. In this context we have recently made two types of progress. The first is in collaboration with Cranfield university where we published a procedure to optimize…