Dr Jaswinder Lota
Reader, School of Architecture, Computing and Engineering (ACE)
IoT, Communications & Signal Processing (ICS)
Reader in School of Architecture Computer & Engineering
Main areas of research are communication and signal processing for next generation wireless technologies such as 5G, Internet of Things (IoT) and biomedical signals.
Reader in the School of Architecture Computing and Engineering. My research is in communication and signal processing for next generation wireless technologies such as 5G, Internet of Things (IoT) and biomedical signals. The research undertaken is in collaboration with University College London (where I am an honorary faculty member since Aug 2012), and New York University (NYU).. Having a track of successful completion and delivery of research and development projects in industry and academia with funding in excess of 7M as the project lead, I have publications in the IEEE/IET journals, conferences and company publications with over 92 citations including a Guest Editorial in the IEEE Transactions on Circuits and Systems II.
- Investigating OFDM, single carrier modulation and MIMO transmission in mm wave frequency band. Design of optimal antenna arrays for massive MIMO base stations and compact MIMO handsets for 5G employing spatial beam switching to increase antenna gains.
- Employing novel ubiquitous real-time accurate location tracking in IoT for urban mobility and people flow to develop sustainable cities by integrating citizens, urban mobility and services (which are entities) into an effective IoT ecosystem.
- Developing patient-centric health monitoring and compliance systems at point of care. Integration with IoT and wireless area networks.
- Compressive sensing algorithms for reduction in high data rate for ECG signals to enable efficient transmission in terms of power and bandwidth over wide body area networks and IoT.
If you are keen to do a PhD in mmwave/5G technologies, compressive sensing in biomedical signals for BCI/IoT and design of low-power high speed delta-sigma ADCs please get in touch with me.
Innovate UK Future Technology Network wireless technology & spectrum working group member for 5G and disruptive approaches
University of Bradford, external examiner for BEng/MEng Telecommunications and Internet Engineering
5G/mmwave Technologies, Compressive Sensing for Biomedical signals for WBAN/IoT and Ubiquitous Real-Time Accurate Wireless Location Tracking in IoT.
Collaborative research with University College London (UCL) for integration of communication technologies and ultra-low power biomedical sensors, design of low-power high-speed analog-to digital converters (ADC); the industrial partners being Qualcomm Global Trading Pt Ltd and Huawei UK.
Investigating OFDM, single carrier modulation and MIMO transmission in mm wave frequency band. Design of optimal antenna arrays for massive MIMO base stations and compact MIMO handsets for 5G employing spatial beam switching to increase antenna gains at 28 GHz and 73 GHz (the recently FCC approved frequencies for outdoor communications, March 2016) for outdoor urban environment. Present results at the 5G & IoT UK test beds and trials event (held every 3 months) for collaborating for an EPRSC grant and publish results in a journal publication.
Employing novel ubiquitous real-time accurate location tracking in IoT for urban mobility and people flow to develop sustainable cities by integrating citizens, urban mobility and services (which are entities) into an effective IoT ecosystem. I am the lead coordinator for a H2020 bid (submitted) that will address this challenge (A Smart City Service Delivery Platform based on Urban Mobility H2020-IOT-2016-2017, 11 partners across Europe, Total cost E 10 M, funding sought E 7 M). Further areas of research for ubiquitous real-time accurate wireless location tracking will be pursued with DFRC AG Switzerland who are one of the consortium partners.
Developing a H2020 research bid and lead coordinator for a patient-centric mobile asthma management system at point of care. Other partners include Centre for Sensor Technologies at University of Bath, University of Bristol and the New Technologies for Mechanical Engineering Centre (NETME), Brno University of Technology Czech Republic. The bid would be submitted by end Dec 2016 (Project duration: 3.5 years, budget Euro 3-4.0 M).
Compressive sensing algorithms for reduction in high data rate for EEG signals to enable efficient transmission in terms of power and bandwidth over wide body area networks (WBAN), since WBAN sensors have limited battery power. The algorithms would be key enablers for integrating the next generation health monitoring systems with the IoT.
Some Journal Articles Only (Please contact for detailed publication list and conference proceeding articles)
Dan Rhodes et. al, 5G innovation opportunities-On shaping of 5G technologies and networks, scope for wider service and applications innovation and UK strengths an opportunities, Future Technologies Networks, Aug 2015, White Paper available on https://www.techuk.org/insights/reports/item/6008-5g-innovation-opportunities-a-discussion-paper
Rieger, R., Lota, J., and Liu, Xiao, ‘Special Issue on Bioelectronic circuits for enhanced diagnosis and therapy’ IEEE Transactions on Circuits & Systems II: Express Briefs Special Issue, Feb 2015, pp. 101-103.
Lota, J., Al-Janabi, M., and Kale, I., ‘Nonlinear stability prediction of multi-bit Δ-Σ modulators for sinusoidal inputs,’ IEEE Trans. on Instrumentation & Measurements, vol. 63, issue 1, 2014, pp. 18-26.
Lota, J., Al-Janabi, M., and Kale, I., ‘Nonlinear model based approach for accurate stability prediction of one-bit higher order delta-sigma modulators’, IEEE Trans. on Instrumentation & Measurements, vol.62, issue 4, Apr 2013, pp. 686-692.
Lota, J., Al-Janabi, M., and Kale, I., ‘Accurate stability prediction of 1-bit higher-order Δ-Σ modulators for multiple-sinusoidal inputs,’ Journal of the IET Circuits, Devices & Systems, vol. 6, issue 2, Mar 2012, pp. 71-78.
Mueck, M., Piipponen, A., Lota, J., et al, ‘ETSI reconfigurable radio systems- status and future directions on software defined radio and cognitive radio standards’, IEEE Communications Magazine, vol. 48, issue 9, Sep 2010, pp.78-86.
Lota, J., TETRA2 Timing offset: Reliability & estimation improvement, Technical Report DTG_SLTR515, Sepura plc UK, Feb 2009
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Lota, J., TETRA 2 Header Coder Performance Improvement: Improving the probability of undetected Errors using Linear Discriminant Analysis, Technical Report TG_SLTR497, Sepura plc UK, Nov 2008
Lota, J., TETRA-2 Fixed-Point Auto Gain Control Algorithms, Technical Report DTG_SLTR438, Sepura plc UK, May 2008
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Lota, J., Al-Janabi, M., and Kale, I., ‘Nonlinear stability analysis of higher-order Δ-Σ modulators for DC and sinusoidal inputs,’ IEEE Trans. on Instrumentation & Measurements, vol.57, no.3, Mar 2008, pp. 530-542.
- International Research Collaboration Award for development of large-scale international projects, University of East London £ 2.5K 2016.
- ‘Big Data in Smart Cities and Human Dynamics’. Research Internship Award, University of East London £ 2.5K 2015.
- ‘Ultra-low power sensor network with LTE integration for an early-warning mobile diagnostic system’. Impact Grant awarded by University College London and Cambridge Silicon Radio plc Cambridge. £ 76K 2014.
- Technical Lead Project SANGRAHA at Naval Headquarters New Delhi, research and development of Electronic Warfare systems developed by Defence Electronics Research Lab (DLRL) Hyderabad, funded by Ministry of Defence, Government of India with funding in excess of £ 7M (1999-2004).
Undergraduate-Engineering in Society, Engineering Mathematics (module leader),
Postgraduate-DSP for Mobile Communications (module leader), Wireless Propagation (module leader), Communication Networks.
Current PhD supervision
Design challenges in Cognitive Radios/Networks.
Compressive Sensing in Biomedical Signals for BCI in WBAN for IoT