Manish Nair, Ph.D.

About

Research Fellow in PNT (Positioning, Navigation, and Timing) at Cranfield University. Previously, Senior Research Associate and RF Transceiver Architect SWAN (Secure Wireless Agile Networks) EPSRC UKRI Project at the University of Bristol; Research Associate 5G DRIVE EU-H2020 China; and Ph.D. Researcher RAPID 5G EU-H2020 Japan Projects.

AI/ML for Secure Radio & Wireless Communications, Novel Multiple Access Technologies such as Non-Orthogonal Multiple Access (NOMA), Digital sub-6GHz Beamforming with Advanced Antenna Systems (AAS); Millimetre Wave Hybrid Beamforming with Lens Antennas; and, Cellular Vehicle-to-Everything (C-V2X) Communication Systems .

Research interests: RFML (RF Machine Learning) for MAC-PHY Security, Signal Processing, Power Amplifier Design and Linearization, RFIC Design, Microwave Design & RF-MEMS (Micro Electro Mechanical Systems).

Employment

• Cranfield University Research Fellow in PNT
  2023 - Present
• University of Kent Research Associate (5G DRIVE EU H2020 - China Project)
  2019 - 2020
• University of Kent Ph.D. Researcher (RAPID 5G EU H2020 - Japan Project)
  2014 - 2019
• Qualcomm Technologies India Senior Engineer (Power Amplifier RF Hardware Applications)
  2014 - 2014
• Samsung Telecommunications America RF Systems Design Engineer
  2013 - 2013
• Skyworks Solutions Electrical Engineer II
  2011 - 2013
• Nokia Americas R&D Engineering Intern (Power Amplifier Design)
  2010 - 2010
• University of Texas at Dallas Graduate Research Assistant
  2010 - 2010
• Nokia Americas R&D Engineering Intern (Power Amplifier Design)
  2009 - 2009

Education

• University of Kent Ph.D.
  2015 - 2019
• University of Texas at Dallas MSEE
  2008 - 2010
• Visvesvaraya Technological University BS
  2003 - 2007

Projects & Funding

Projects & funding information is unavailable.

Publications (29)

• A 47 % Fractional Bandwidth Sequential Power Amplifier with High Back-off Efficiency
  2022 4th IEEE Middle East and North Africa COMMunications Conference, MENACOMM 2022 2023 DOI: 10.1109/MENACOMM57252.2022.9998195
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• Highly Efficient 3-Bit Digital Power Amplifier for OFDM Waveform Amplification
  IEEE Transactions on Microwave Theory and Techniques 2023 DOI: 10.1109/TMTT.2022.3194092
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• IoT Device Authentication Using Self-Organizing Feature Map Data Sets
  IEEE Communications Magazine 2023 DOI: 10.1109/MCOM.002.2200705
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• Rigorous Analysis of Data Orthogonalization for Self-Organizing Maps in Machine Learning Cyber Intrusion Detection for LoRa Sensors
  IEEE Transactions on Microwave Theory and Techniques 2023 DOI: 10.1109/TMTT.2022.3223122
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• Self Organizing Feature Maps Data Sets
  2023 DOI: 10.17862/cranfield.rd.23736597
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• Characterisation of Horizontally Induced Vibrations on Antenna's Channel Response at Millimetre-Wave
  IEEE International Conference on Wireless and Mobile Computing, Networking and Communications 2022 DOI: 10.1109/WIMOB55322.2022.9941362
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• Linearity Optimisation for Multi-Bit Digital Power Amplifier
  Proceedings of the IEEE Topical Conference on Power Amplifiers for Wireless and Radio Applications (PAWR) 2022 DOI: 10.1109/PAWR53092.2022.9719716
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• LoRaWAN Performance Evaluation and Resilience under Jamming Attacks
  Sensor Signal Processing for Defence Conference, SSPD 2022 DOI: 10.1109/SSPD54131.2022.9896225
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• Modular Design and Characterization of a Reconfigurable Sequential Power Amplifier
  IEEE Annual Wireless and Microwave Technology Conference (WAMICON) 2022 DOI: 10.1109/WAMICON53991.2022.9786109
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• RF Fingerprinting of LoRa Transmitters Using Machine Learning with Self-Organizing Maps for Cyber Intrusion Detection
  IEEE MTT-S International Microwave Symposium 2022 DOI: 10.1109/IMS37962.2022.9865441
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