Haider Raza

Haider Raza

Lecturer in AI for Decision Making, School of Computer Science and Electronics Engineering, University of Essex

2021

  • Keynote speaker at “ICCCIS-2021: International Conference on Computing, Communication, and Intelligent Systems (ICCCIS-2021), Greater Noida, India. Topic: Advancing Machine-Learning methods Brain-Computer Interfacing. Dates: 19th -20th Feb 2021.

  • Member of Advisory Board “Advances in Applied Sciences, Engineering and Technology (AASET-2021)”, on May 21-22, 2021. ***

2020

  • Promotion: I have been granted permanency by the University of Essex in July 2020 and got promotion as well. I will be joining my new role as a Lecturer on 21st November 2020 in the School of Computer Science and Electronics Engineering.

  • Webinar: Enjoyed participating in a webinar on 02/Jul/2020 and discussed a title “Lobbying with data - how can data help businesses influence policy?” along with Bonamy Waddell and Peter Bleackley. YouTube link to the recorded webinar.

  • Promotion: Got elevated to the grade of IEEE Senior member (SMIEEE).

  • Grant Two-Way visiting Fellowship awarded by GCRF, University of Essex and Indian Institute for Information Technology

  • Certification: Achieved the status of Fellow of Higher Education Academy

  • Publication Two papers accepted at IEEE WCCI-IJCNN 2020.

  • Grant: GCRF, Essex Engagement fund – Research Pump Priming: Unravelling the Forest Fires in Lower Himalayan Forests: A Comprehensive Study of Indian Forest Regions of Uttarakhand using IoT technology. Funding Amount: £9335.69

2019

  • Publication: Pediatric obesity: ‘Predictors of objectively measured physical activity in 12‐month‐old infants: A study of linked birth cohort data with electronic health records’

  • Publication: Neurocomputing: ‘Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface’

  • Publication: Journal of neuroscience methods: ‘An EEG-EMG correlation-based brain-computer interface for hand orthosis supported neuro-rehabilitation’

  • Publication: IEEE-IJCNN 2020:’Bagging Adversarial Neural Networks for Domain Adaptation in Non-Stationary EEG’

  • Grant: KTP: ‘AI-assisted Performance Management System’, Funding Amount: £228,006.00, Funder: (67%) Innovate UK and (33%) TT Education, Role: Supervisor

  • Grant: Innovation Voucher: ‘Maji Financial Wellbeing Ltd’, Funding: £5070.00”

  • Grant: ESNEFT (NHS Trust): Title: ‘AI based approach to improve cancer pathway’, Funding Amount: £41,172.75 Funder: East Suffolk and North Essex NHS Foundation Trust, Role: PI.

  • Talk: University of Sheffield: ‘Managing Covariate Shift in EEG/MEG-based BCI’

  • Talk: Integral University, India: ‘Artificial Intelligence and Deep Learning for Healthcare and Businesses’

  • Talk: Integral University, India: ‘Machine Learning and Future’

  • Tutorial: IADS Summer School, University of Essex: ‘Learning Under Distribution Shift: Transfer Learning’

  • Tutorial: IADS Summer School, University of Essex: ‘Introduction to Deep Learning’

2018

  • Publication: Book Chapter, Institution of Engineering and Technology: ‘Covariate shift detection-based nonstationary adaptation in motor-imagery-based brain–computer interface’

  • Publication: IEEE journal of biomedical and health informatics: ‘Active Physical Practice Followed by Mental Practice Using BCI-Driven Hand Exoskeleton: A Pilot Trial for Clinical Effectiveness and Usability’

  • Grant: Economic and Social Research Council: ‘Business and Local Government Data Research Centre (BLG DRC)’ Role: Co-PI.

  • Grant: KTP: ‘AI-driven SMART Triage System’, Funding Amount: £289,127.00, Funder: 50% Innovate UK and 50% Provide CIC, Role: Lead Supervisor

  • Talk: VNR Vignana Jyothi Institute of Engineering and Technology, Hydrabad, India: ‘Artificial Intelligence & Machine Learning’

  • Talk: St. Joseph’s College, Bengaluru, India: Artificial Intelligence and it’s application in Industry and Research

  • Talk: Taj MG Road, Bengaluru, India: Artificial Intelligence & Machine Learning

  • Tutorial: IADS Summer School, University of Essex: ‘Learning Under Distribution Shift: Transfer Learning’

  • Tutorial: Data Science Intense (DSI) Training Program 2018: Machine Learning and Data Science, Tutorial, Data Science Intense (DSI) Training Program 2018, African Institute for Mathematical Sciences, Cape Town, South Africa

  • Tutorial: Invited Tutorial Delivered a series of tutorials as a Knowledge Exchange to public bodies in UK such as Essex County Counci, South-End County Council, Suffolk County Council, Essex Police on using Python and R for Data Analytics

2017