Dr. Tahera Kalsoom | Industrial IoT | Best Researcher Award

Dr. Tahera Kalsoom | Industrial IoT | Best Researcher Award 

Dr. Tahera Kalsoom, Manchester Metropolitan University, United Kingdom

Dr. Tahera Kalsoom is a dedicated lecturer and researcher with over five years of experience in teaching undergraduate and postgraduate courses. She has supervised more than 100 theses and published 14 articles in leading journals and conferences. Her research focuses on the Internet of Things (IoT), Industry 4.0/5.0, data analytics, digitalization, firm performance, and technology management. Dr. Kalsoom holds a Ph.D. in Computing, Engineering, and Physical Sciences from the University of the West of Scotland, where her thesis explored the impact of IoT and dynamic data processing on firm performance. She has also earned an MSc in Financial Management from Middlesex University and a BBA in International Hospitality Management from Stenden University. In addition to her teaching roles at Manchester Metropolitan University and other institutions, Dr. Kalsoom actively contributes to the academic community as a reviewer for various journals and conferences, including IEEE and Wiley & Sons. She is a member of several professional organizations, including IEEE, the British Academy of Management, and the American Finance Association.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award: Dr. Tahera Kalsoom

Dr. Tahera Kalsoom is highly suitable for the Best Researcher Award based on her outstanding interdisciplinary research profile, international academic exposure, and clear contributions to emerging domains such as the Internet of Things (IoT), Industry 4.0/5.0, and Data Analytics. With a Ph.D. from a reputable UK institution and over 14 research publications in well-regarded journals and conferences, she demonstrates a consistent research trajectory aligned with modern technological transformations impacting firm performance and digitalisation.

🎓 Education

  • PhD in Computing, Engineering and Physical Sciences
    University of the West of Scotland, Glasgow, UK (2017–2021)
    📘 Thesis: Impact of the Use of IoT, Visibility and Dynamic Data Information Processing Capabilities on Firm Performance

  • MSc in Financial Management
    Middlesex University, London, UK (2014–2015)
    📘 Thesis: Performance of banks after the financial recession, a study of market trends

  • BBA (Hons) in International Hospitality Management
    Stenden University, Qatar (2006–2010)
    📘 Dissertation: Performance analysis of Vodafone call centre in Doha

💼 Professional Experience

  • Lecturer
    Manchester Fashion Institute, MMU, UK (2022–Present)
    📊 Teaching Business Analytics, Strategic Fashion Management, supervising PG students, and PhD co-supervision.

  • Associate Lecturer
    Arden University, Manchester, UK (2022)
    🖥️ Delivered courses on Data Analytics, Operations Management, and Digital Supply Chain 4.0.

  • Research Assistant
    University of the West of Scotland, UK (2021–2022)
    🧠 Contributed to IoT frameworks for EU projects ATHIKA and Safe-RH.

  • Associate Lecturer
    UWS, School of Business and Creative Industries (2020–2021)
    🧾 Delivered tutorials and designed assessments in Operations Management.

  • Lecturer
    ICON College, London, UK (2019–2020)
    🌐 Led IoT module, attended exam boards, and taught Project Management & Strategic Management.

  • Lecturer
    St. Patrick’s College, London, UK (2018–2019)
    🏫 Delivered lectures in HR, Leadership, and Operations Management.

  • Assistant Manager
    M.H. AL-Muftah Est., Doha, Qatar (2016–2017)
    📈 Handled payroll, financial audits, and reporting.

  • Payroll Administrator
    Hamad Int. Airport Project, Civil Aviation Authority, Qatar (2010–2014)
    💼 Managed payroll processing, appraisals, and timesheets.

🌟 Key Achievements

  • 📚 Supervised 100+ UG and PG theses

  • 📝 Published 14 research articles in reputable journals and conferences

  • 🔍 Regular reviewer for journals such as IEEE Access, IEEE Sensors Journal, Sensors (MDPI), Sustainability, and Wiley Books

  • 🎤 TPC Member for IEEE CAMAD, BAM, LRN, and UK-China Emerging Tech Conference

  • 🧑‍🏫 Module Leader and Exam Board Member at ICON and St. Patrick’s Colleges

  • 📦 Developed modules on IoT and Digital Supply Chain 4.0

🏅 Awards & Honours

  • 🥇 Merit AwardTop 20 MSc students, Middlesex University

  • 🏆 Distinction AwardTop 10 in BBA, Stenden University

  • 🎓 First Class ScholarshipStenden University

  • 📜 Roll of HonourTop 20 in HSSC, PEC Doha

Publication Top Notes:

Advances in sensor technologies in the era of smart factory and industry 4.0

CITED:325

Impact of IoT on manufacturing industry 4.0: A new triangular systematic review

CITED:112

Towards supply chain visibility using internet of things: A dyadic analysis review

CITED:107

IoT for 5G/B5G applications in smart homes, smart cities, wearables and connected cars

CITED:46

Market orientation and SME performance: Moderating role of IoT and mediating role of creativity

CITED:43

Millimeter-wave smart antenna solutions for URLLC in industry 4.0 and beyond

CITED:42

 

 

 

Mr. Yongnan Xu | Internet of Things Awards | Best Researcher Award

Mr. Yongnan Xu | Internet of Things Awards | Best Researcher Award 

Mr. Yongnan Xu, Sichuan University, China

Mr. Yongnan Xu is a dedicated researcher and scholar at Sichuan University, where he focuses on multi-objective optimization, integrated space-air-ground networks, unmanned aerial vehicle (UAV) networks, and neural networks. He earned his B.S. degree from Shenzhen University and an M.S. degree in Electronic Information from Sichuan University. With three SCI papers, one conference paper, and two patents to his name, Mr. Xu has made significant contributions to the field, particularly in enhancing channel capacity fairness for ground devices in integrated networks and improving neural network efficiency through joint optimization techniques. His ongoing research projects include developing satellite internet support technology and high-temperature gas measurement technologies. Mr. Xu’s work is recognized internationally, and he is a nominee for the Best Researcher Award.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:

Mr. Yongnan Xu is a highly qualified candidate for the Best Researcher Award, recognized for his contributions to the field of electronic information and integrated networks. His academic achievements, innovative research projects, and practical applications position him as a leader in his domain.

Education 🎓

  • B.S. in Engineering
    Shenzhen University
  • M.S. in Electronic Information
    Sichuan University

Work Experience 💼

  • Researcher
    Sichuan University
    Focus: Integrated space-air-ground networks and multi-objective optimization
    Year: 2021 – Present

Achievements 🏆

  • Publications:
    • 3 SCI papers
    • 1 conference paper
    • Filed 2 patents
  • Research Projects:
    1. Research on Satellite Internet Support Technology in Areas with Weak Communication Resources based on Low-orbit Constellation Satellites (2021YFQ0011, Sichuan Province)
    2. Research on High Temperature and High Pressure Gas Measurement Technology of Nuclear Reactor (Horizontal research project of Sichuan University)
  • Citation Index:
    All references cited 9 times

Patents 🛠️

  1. A Multi-Objective Optimization Method for Air-to-Earth Communication Resources based on Pareto Optimal Solution (CN 202311028249.9)
    • Status: Passed the first reading (October 20, 2023)
  2. A Routing Scheme Combining Floyd Algorithm and Reinforcement Learning in LEO Satellite Networks (CN 202410130728.X)
    • Status: Passed the first reading (January 31, 2024)

Awards and Honors 🌟

  • Best Researcher Award (Nomination in Progress)
  • Network of Conservation Educators and Professionals 2017
    • Travel Award to attend Conservation Teaching and Learning Studio
  • EPPS Outstanding Teaching Comet Award
    • 2014, 2015, 2016

Publication Top Notes:

A Multiarea On-Demand Classification Constellation Design for Satellite IoT

Multi-objective Resource Allocation across Multiple IoT Device Categories in Space-Air-Ground Integrated Network