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Staff Profile

Dr Husnain Sherazi

Director of Student Recruitment, Business, Innovation and Skills / Employability Lead for Computing / Associate Professor in Computing

  • Email: husnain.sherazi@ncl.ac.uk
  • Telephone: +44 191 2083988
  • Address: Office 3.048
    Urban Sciences Building
    1 Science Square
    缅北禁地 Helix
    缅北禁地 upon Tyne
    NE4 5TG
Background

Husnain Sherazi is an experienced researcher and academician, with over 12 years of teaching & cutting-edge research experience in Computer Science and self-sustained IoT systems, currently serving as Director of Student Recruitment, Director of Business, Innovation, and Skills (Interim), Employability Lead for Computing, and Associate Professor at the School of Computing, 缅北禁地, UK. He is a member of Networked and Ubiquitous Systems Engineering Group at 缅北禁地 which is home to the prestigious .

As Director of Student Recruitment, Business, Innovation, and Skills, Husnain leads the strategic planning and forecasting of student enrolments across undergraduate, postgraduate taught, and postgraduate research at Computing. As a key member of the School Executive Board (SEB), he contributes to shaping the school’s strategic direction and operational priorities. He oversees national and international recruitment initiatives, including open days, offer-holder experience events, and outreach activities, ensuring effective resource allocation and impactful engagement with prospective students. Husnain plays a key role in engaging employers to enhance graduate employability by inviting them to sponsor events, deliver guest talks, and support industrial dissertations addressing real-world challenges. His efforts foster strong partnerships between the school and industry, creating valuable opportunities for students to gain practical insights and experience. Husnain is also actively involved in external engagement activities, focusing on careers, employability, and internationalisation. He collaborates with employers, alumni, and global partners to strengthen the school’s reputation and ensure its graduates are well-prepared for competitive job markets both locally and internationally. By aligning academic excellence with industry needs, he contributes to the school’s strategic goals and its standing within the Russell Group.

Husnain was previously a Senior Lecturer and Program Director for B.Sc. IT Management for Business (ITMB) at the School of Computing and Engineering, , London, UK. He was a Researcher at , University College Cork, Cork, Ireland from Sep. 2020 to May 2021. He has also served as an Assistant Professor at GIFT University and Adjunct Professor at Superior University, Pakistan during the Spring 2020. Husnain earned his PhD in Electrical and Computer Engineering, , Italy on the Ministerial Fellowship in 2018 where he also served as a Postdoctoral Researcher from Nov. 2018 to Oct. 2019. He has been on a research exchange at the , UK from May 2017 to Jan. 2018.

During his professional career spanned across different countries, Husnain has been a part of renowned research projects, acquired research grants, supervised research dissertations, developed programs, and contributed to the design & delivery of a range of modules at both undergraduate and postgraduate levels. He has previously served on a number of senior administrative roles in academia including Director of Student Outreach, Program Director for B.Sc. ITMB, Lead on Research and Knowledge Exchange, and Head of Intelligent Systems and Industrial Automation research group, to name a few. Over 60 articles in top-tier journals and conferences are on his credit. He is serving as Associate Editor (Ad Hoc Networks), Executive Editor (Internet Technology Letter), Topic Editor (Electronics), and Guest Editor for several prestigious journals. Husnain regularly chairs sessions and serves on the Technical Program Committee for world's renowned conferences including IEEE ICC, IEEE INFOCOM, IEEE VTC, and IEEE EDUCON. Moreover, he is a Senior Fellow of the Higher Education Academy (UK), Senior Member IEEE, Member ACM, IEEE Young Professionals, IEEE Communications Society, British Computing Society, and the IET.

Research

Husnain’s research focuses on creating intelligent and energy-efficient communication systems for the connected world. His work covers the Internet of Things (IoT), Internet of Vehicles (IoV), drones, industrial automation, edge and quantum computing, and blockchain-based trust systems. As part of the , his research explores how edge intelligence can make future networks more adaptive, sustainable, and data-driven. Over the past decade, he has worked across Europe and the UK on several major research programmes, including Horizon 2020, SymbIoT, and E-Shelf, and has been a part of multiple UKRI and EPSRC-funded projects. He was among the early researchers to explore low-power wide-area network standards such as LoRaWAN, helping design industrial-scale devices and gateways that enable greener and more reliable connectivity. His work aims to make communication networks more sustainable, intelligent, and responsive through AI-driven optimisation and data-aware decision-making.

His work bridges the gap between technology and society, translating research into real-world impact that contributes to global sustainability goals. He has led and contributed to projects that apply digital innovation to improve urban living, environmental resilience, and public safety. Notably, his collaboration with city councils on the Internet of Trees framework uses IoT sensors to monitor and preserve urban trees and green spaces, helping horticulture teams respond quickly to environmental risks and hazards. More broadly, his research promotes the responsible use of smart technologies to support cleaner cities, safer transport networks, and more energy-efficient industrial systems. His work contributes directly to the UN Sustainable Development Goals, particularly those related to sustainable cities, climate action, and responsible innovation. One of his recently published research article (Identifying COVID-19 survivors living with post-traumatic stress disorder through machine learning on Twitter) in Nature Scientific Reports was picked up by the University Press and some leading media groups (such as MSN, Science Daily, Neuroscience News).

Husnain has extensive experience supervising and mentoring researchers at all levels. He has supervised more than 150 undergraduate projects, 40 master’s dissertations, and six PhD students to completion, with several of his students now working in leading universities and technology organisations. Moreover, He has examined several doctoral students as internal and external examiner. He has also enjoyed mentoring postdoctoral researchers and early-career academics. His full list of publications is available on his Prospective PhD and postdoctoral researchers who are passionate about intelligent and sustainable communication technologies are encouraged to get in touch to explore collaboration opportunities.

Teaching

He has designed and delivered a number of modules including, but not limited to the following:

  • Computer Networks (CSC 8021); Level 7, F2F, Cohort of 90, Autumn 24.
  • Major Project and Dissertation in Computer Science (CSC3094); Level 6, F2F, Spring 2024 - Present.
  • MSc Computer Science Projects (CSC8099); Level 7, F2F, Spring 2024 - Present.
  • Computer Architecture (Module Leader); Level 4, F2F, Cohort of 74, Autumn 23.
  • Information Systems and Databases (Module Leader); Level 5, Hybrid Mode (F2F & online), Cohort of 398 students, Spring 22.
  • Algorithms and Data Structures; Level 7, Hybrid Mode (F2F & online), Cohort of 65 students, Autumn 22.
  • Computer Systems Design; Level 4, F2F, Cohort of 30, PT-SAT, Spring 22.
  • Distributed Systems (Module Leader); Level 7, F2F, Cohort of 106, Autumn 21.
Publications

  • Articles

    • Butt UM, Letchmunan S, Ali M, Sherazi HHR. . IEEE Transactions on Computational Social Systems 2025, 12(6), 4650-4664.
    • Rashid U, Mukhtar F, Waqar O, Asif W, Sherazi HHR. . Internet Technology Letters 2025, 8(1), e507.
    • Mushtaq H, Deng X, Azhar F, Ali M, Sherazi HHR. . Information 2024, 15(11), 739.
    • Baqir A, Ali M, Jaffar S, Sherazi HHR, Lee M, Bashir AK, Al Dabel MM. . Scientific Reports 2024, 14, 18902.
    • Ali M, Scandurra P, Moretti F, Sherazi HHR. . IEEE Transactions on Consumer Electronics 2024, 70(1), 4524-4535.
    • Ali M, Baqir A, Sherazi HHR, Khalid S, Smith P, Lee M. . ACM Transactions on Asian and Low-Resource Language Information Processing 2024, 23(12), 169.
    • Noor-A-Rahim M, John J, Firyaguna F, Sherazi HHR, Kushch S, Vijayan A, O'Connell E, Pesch D, O'Flynn B, O'Brien W, Hayes M, Armstrong E. . Sensors 2023, 23(1), 73.
    • Hassan B, Sherazi HHR, Ali M, Siddiqi Y. . Intelligent Automation and Soft Computing 2023, 37(3), 2727-2743.
    • Mushtaq H, Deng X, Ali M, Hayat B, Sherazi HHR. . Sustainability 2023, 15, 18.
    • Hassan B, Fiaz M, Sherazi HHR, Butt UJ. . IEEE Journal on Selected Topics in Signal Processing 2023, 17(3), 699-707.
    • Hassan B, Sherazi HHR, Ali M, Bashir AK. . EURASIP Journal on Advances in Signal Processing 2023, 2023(1), 65.
    • Ali M, Baqir A, Sherazi HHR, Hussain A, Alshehri AH, Imran MA. . Computers, Materials and Continua 2022, 72(2), 2411-2427.
    • Awan KM, Sherazi HHR, Ali A, Iqbal R, Khan ZA, Mukherjee M. . Transactions on Emerging Telecommunications Technologies 2022, 33(3), e3816.
    • Hussain A, Alam S, Ghauri SA, Ali M, Sherazi HHR, Akhunzada A, Bibi I, Gani A. . Sensors 2022, 22(19), 7488.
    • Sherazi HHR, Zorbas D, O'Flynn B. . Sensors 2022, 22(8), 2990.
    • Butt UM, Letchmunan S, Hassan FH, Ali M, Baqir A, Koh TW, Sherazi HHR. . IEEE Access 2021, 9, 47516-47529.
    • Butt UM, Letchmunan S, Ali M, Hassan FH, Baqir A, Sherazi HHR. . Journal of Healthcare Engineering 2021, 2021, 9930985.
    • Sherazi HHR, Grieco LA, Imran MA, Boggia G. . IEEE Transactions on Industrial Informatics 2021, 17(2), 891-902.
    • Haq IU, Anwar A, Rehman IU, Asif W, Sobnath D, Sherazi HHR, Nasralla MM. . IEEE Access 2021, 9, 143406-143422.
    • Khan ZA, Sherazi HHR, Ali M, Imran MA, Ur Rehman I, Chakarbarti P. . Energies 2021, 14(17), 5408.
    • Khan T, Sherazi HHR, Ali M, Letchmunan S, Butt UM. . Agronomy 2021, 11(8), 1551.
    • Dar Z, Ahmad A, Khan FA, Zeshan F, Iqbal R, Sherazi HHR, Bashir AK. . Journal of Supercomputing 2020, 76(4), 2548-2567.
    • Ahmed MJ, Iqbal S, Awan KM, Sattar K, Khan ZA, Sherazi HHR. . Arabian Journal for Science and Engineering 2020, 45(4), 2501-2511.

  • Book Chapter

    • Bandyopadhyay SK, Goyal V, Dutta S, Pramanik S, Sherazi HHR. . In: Multidisciplinary Approach to Modern Digital Steganography. Hershey, PA: IGI Global, 2021, pp.1-28.

  • Conference Proceedings (inc. Abstracts)

    • Sherazi HHR, Arif S, Munir MS, Ali M, Hassan B, Siddiqi Y. . In: 28th International Conference on Automation and Computing (ICAC 2023). 2023, Birmingham, UK: IEEE.
    • Sherazi HHR, Asif W, Khan ZA. . In: IEEE International Smart Cities Conference (ISC2 2021). 2021, Manchester, UK: IEEE.
    • Atchome AM, Sherazi HHR, Alahassa R, Tossa F, Edoh TO, Grieco LA, Vianou AC. . In: e-Infrastructure and e-Services for Developing Countries: 11th EAI International Conference (AFRICOMM 2019). 2020, Porto-Novo, Benin: Springer.

  • Reviews

    • Ur Rehman I, Sobnath D, Nasralla MM, Winnett M, Anwar A, Asif W, Sherazi HHR. . Diagnostics 2021, 11(10), 1923.
    • Butt UM, Letchmunan S, Hassan FH, Ali M, Baqir A, Sherazi HHR. . IEEE Access 2020, 8, 166553-166574.