Muhammad Tahir | Internet of Things (IoT) | Best Researcher Award

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Best Researcher Award

Muhammad Tahir
Affiliation Gomal University
Country Pakistan
Scopus ID 60053985100
Documents 11
Citations 8
h-index 1
Subject Area Internet of Things (IoT)
Event Global Sensor Awards
ORCID 0009-0003-6542-6264

Muhammad Tahir
Gomal University

The Best Researcher Award profile recognizes the scholarly activities of Muhammad Tahir, a researcher affiliated with Gomal University, Pakistan. His documented research output in the field of the Internet of Things (IoT) demonstrates continuing participation in sensor-enabled technologies, connected systems, and digital innovation. His indexed publications, citation record, and ORCID-supported academic identity provide a transparent representation of his research activities and professional contributions within the international scientific community.[1][2]

Abstract

Muhammad Tahir has established an emerging academic profile through research related to Internet of Things technologies, sensor-enabled communication, and intelligent digital systems. His scholarly output indexed in Scopus contributes to the growing body of literature supporting connected devices, smart environments, and modern computing applications. The availability of persistent researcher identifiers through Scopus and ORCID enhances the visibility, traceability, and credibility of his academic work.[1][2]

Keywords

Internet of Things, IoT, Smart Sensors, Wireless Sensor Networks, Embedded Systems, Connected Devices, Digital Transformation, Intelligent Systems, Sensor Technology, Data Communication.

Introduction

The Internet of Things represents one of the most influential technological developments in modern engineering by enabling communication among interconnected devices, sensors, cloud platforms, and intelligent applications. Academic research in this field supports innovations across healthcare, industrial automation, agriculture, transportation, environmental monitoring, and smart cities. Researchers working within IoT contribute to advances in secure communication, energy-efficient networking, data analytics, and sensor integration.[3]

Research Profile

Muhammad Tahir is affiliated with Gomal University in Pakistan. According to the indexed academic record provided through Scopus, his profile includes 11 publications, 8 citations, and an h-index of 1. These bibliometric indicators provide an objective overview of his research activity and scholarly visibility within the international academic community.[1]

Research Contributions

His published research contributes to the advancement of Internet of Things technologies through investigations related to sensor-based systems, intelligent communication, connected infrastructures, and digital applications. Such research supports improvements in real-time monitoring, distributed computing, and efficient information exchange across diverse technological environments. These contributions align with current global research priorities involving smart sensing and intelligent connectivity.[3]

Publications

The researcher’s publication portfolio is indexed within the Scopus database, providing standardized bibliographic information and citation tracking. His publications contribute to ongoing developments in IoT research and provide a foundation for future collaborative and interdisciplinary investigations.[1]

  • 11 indexed scholarly publications.
  • Research focused on Internet of Things technologies.
  • Scopus-indexed publication record.
  • Persistent ORCID researcher identification.

Research Impact

Bibliometric indicators such as citation counts and h-index provide measurable evidence of scholarly influence and research dissemination. While citation metrics evolve over time, maintaining indexed publications and internationally recognized researcher identifiers supports academic visibility, transparency, and future collaboration opportunities.[1][2]

Award Suitability

Muhammad Tahir’s documented scholarly profile demonstrates active participation in IoT research and sensor-related technological development. His verified academic records, indexed publications, and professional research identity make his profile suitable for consideration within recognition programs that acknowledge emerging research contributions in sensing technologies and connected systems. The Global Sensor Awards recognize researchers whose work supports innovation, scientific collaboration, and technological advancement through measurable academic achievements.[3]

Conclusion

Muhammad Tahir represents an emerging researcher whose academic activities contribute to Internet of Things research and sensor-enabled technologies. His publication record, verified scholarly identifiers, and documented research outputs establish a reliable academic profile suitable for professional recognition and continued research development within the international scientific community.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Muhammad Tahir, Author ID 60053985100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60053985100
  2. ORCID. (n.d.). Researcher Profile: Muhammad Tahir.
    https://orcid.org/0009-0003-6542-6264
  3. Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A Survey.
    DOI: https://doi.org/10.1016/j.comnet.2010.05.010

Mlungisi Ntombela | Internet of Things (IoT) | Innovative Research Award

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Innovative Research Award

Mlungisi Ntombela
Durban University of Technology (DUT), South Africa

Mlungisi Ntombela
Affiliation Durban University of Technology (DUT)
Country South Africa
Scopus ID 57558503600
Documents 14
Citations 194
h-index 5
Subject Area Electrical Engineering, Artificial Intelligence, Smart Grids, Electric Vehicles, Internet of Things
Event Global Sensor Awards
ORCID 0000-0001-6428-0257

Mlungisi Ntombela is a South African electrical engineer, academic researcher, lecturer, and certified engineering professional whose work bridges industrial engineering practice and advanced academic research. His expertise spans electrical power systems, artificial intelligence applications in smart grids, power system optimization, distributed generation integration, electric vehicles, reliability engineering, and project management. Through a combination of engineering leadership, research innovation, and higher education contributions, he has established a multidisciplinary profile that supports both technological advancement and engineering education.[1]

Abstract

This academic recognition article presents the professional achievements, research contributions, and engineering leadership of Dr. Mlungisi Eric Ntombela. His work integrates industrial engineering practice with advanced research in electrical power systems, smart grids, distributed generation, artificial intelligence optimization algorithms, and electric vehicle integration. His contributions include peer-reviewed publications, project engineering leadership, higher education teaching, and the development of innovative methodologies for power loss reduction and voltage profile enhancement in modern electrical networks.[2]

Keywords

Electrical Engineering, Smart Grids, Artificial Intelligence, Optimization Algorithms, Distributed Generation, Electric Vehicles, Power Systems, Reliability Engineering, Power Quality, Energy Systems, Research Innovation, Engineering Education, Project Engineering, Sustainable Energy.

Introduction

Dr. Ntombela’s career demonstrates a balanced integration of industrial engineering experience and academic scholarship. Holding a Doctor of Engineering in Electrical Engineering and a Government Certificate of Competency (Factories), he has contributed significantly to both utility-scale engineering operations and university-level education. His professional experience includes maintenance engineering, reliability management, risk assessment, project execution, research supervision, and curriculum development. These combined experiences have enabled him to address practical engineering challenges while advancing scientific knowledge in electrical power systems.[1]

Research Profile

The research activities of Dr. Ntombela focus primarily on electrical power system optimization, artificial intelligence applications in smart grids, distributed generation placement, electric vehicle integration, power quality improvement, and sustainable energy management. His academic work has investigated advanced hybrid optimization algorithms capable of minimizing network losses while improving voltage stability and operational efficiency in electrical distribution systems.[3]

Beyond research, he actively contributes to engineering education through lecturing, laboratory instruction, curriculum modernization aligned with Fourth Industrial Revolution (4IR) technologies, and mentoring of engineering students. His interdisciplinary perspective supports the integration of industry-driven solutions within academic environments.[4]

Research Contributions

  • Development and evaluation of optimization techniques for power network reconfiguration.
  • Research on distributed generation sizing and placement for power loss minimization.
  • Application of artificial intelligence hybrid algorithms in smart grid optimization.
  • Comprehensive studies on electric vehicle integration into modern power systems.
  • Voltage profile improvement methodologies for sustainable electricity networks.
  • Contributions to battery electric vehicle drive circuit technologies and operational analysis.
  • Research on renewable energy distributed generation and smart grid interoperability.
  • Engineering project management and reliability-centered maintenance methodologies.

Publications

  • Review of Optimization Techniques for Power Network Reconfiguration (SAUPEC 2022).
  • Power Loss Minimization and Voltage Profile Improvement by Distributed Generation Sizing and Placement (PowerAfrica 2022).
  • Power Loss Minimization and Voltage Profile Improvement by System Reconfiguration, DG Sizing, and Placement. Computation, 2022.
  • Artificial Intelligent Hybrid Algorithm Used for System Reconfiguration to Minimize Power Losses in the Distribution System.
  • Load Profile and Load Flow Analysis for a Grid System with Electric Vehicles Using a Hybrid Optimization Algorithm. Sustainability, 2023.
  • Reduction of Power Losses and Voltage Profile Improvement in a Smart Grid Incorporated with Electric Vehicles. Sustainability, 2023.
  • A Comprehensive Review of the Incorporation of Electric Vehicles and Renewable Energy Distributed Generation Regarding Smart Grids. World Electric Vehicle Journal, 2023.
  • A Comprehensive Review for Battery Electric Vehicles (BEV) Drive Circuits Technology, Operations, and Challenges. World Electric Vehicle Journal, 2023.

Research Impact

The research contributions of Dr. Ntombela address critical challenges associated with energy efficiency, renewable energy integration, electrical network optimization, and transportation electrification. His published studies provide analytical frameworks and computational techniques that support the development of resilient and sustainable power systems. These contributions are particularly relevant to emerging smart grid infrastructures and the increasing adoption of electric mobility technologies worldwide.[5]

In addition to scholarly outputs, his industrial experience in project engineering, risk-based inspection, reliability-centered maintenance, and operational management provides practical relevance to his research, strengthening the applicability of his findings in real-world engineering environments.[1]

Award Suitability

Dr. Mlungisi Eric Ntombela demonstrates strong suitability for recognition within engineering, energy systems, smart grid technologies, and applied artificial intelligence award categories. His profile combines advanced academic qualifications, impactful scientific publications, industrial engineering leadership, teaching excellence, and interdisciplinary innovation. His contributions align closely with the objectives of awards recognizing research excellence, technological innovation, sustainability, engineering leadership, and emerging contributions to future energy systems.[2]

Conclusion

Dr. Mlungisi Eric Ntombela represents a new generation of engineering professionals whose expertise spans industry practice, academic scholarship, and technological innovation. Through his work in electrical engineering, artificial intelligence, smart grids, and electric vehicle integration, he has contributed to advancing knowledge while addressing practical challenges facing modern energy systems. His combination of research productivity, engineering leadership, and educational service positions him as a notable contributor within the fields of electrical engineering and sustainable energy development.

References

  1. Ntombela, M. E. Professional Curriculum Vitae and Academic Profile.
  2. Ntombela, M., Musasa, K., & Leoaneka, M.C. (2022). Review of Optimization Techniques for Power Network Reconfiguration.
    https://doi.org/10.1109/SAUPEC55179.2022.9730628
  3. Ntombela, M., Musasa, K., & Leoaneka, M.C. (2022). Power Loss Minimization and Voltage Profile Improvement by System Reconfiguration, DG Sizing, and Placement.
    https://doi.org/10.3390/computation10100180
  4. Durban University of Technology. Academic Teaching and Research Activities.
  5. Ntombela, M., Musasa, K., & Moloi, K. (2023). A Comprehensive Review of the Incorporation of Electric Vehicles and Renewable Energy Distributed Generation Regarding Smart Grids.
    https://doi.org/10.3390/wevj14070176

Assoc. Prof. Dr. Esmaeil Mirzaee- Ghaleh | Mechine Awards | Best Scholar Award

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Assoc. Prof. Dr. Esmaeil Mirzaee- Ghaleh | Mechine Awards | Best Scholar Award 

Assoc. Prof. Dr. Esmaeil Mirzaee- Ghaleh, Razi University, Iran

Dr. Esmaeil Mirzaei Ghaleh is an Associate Professor and tenured faculty member at Razi University in Kermanshah, Iran, where he also serves as the Director General of Educational Affairs. He holds a Ph.D. and M.Sc. in Agricultural Engineering from the University of Tehran, and a B.Sc. in Agricultural Machinery Engineering from the University of Tabriz. His academic work has focused on intelligent energy systems and agricultural mechanization, including the development of smart solar heating systems and modeling of agricultural drying processes. Dr. Mirzaei has been recognized nationally for his academic and managerial excellence, including awards from the National Elites Foundation and Razi University. He actively contributes to numerous academic, scientific, and governmental committees, including the Iranian Society of Agricultural Machinery and Mechanization and the National Elites Foundation of Kermanshah. A dedicated educator and administrator, he continues to influence Iran’s agricultural engineering landscape through teaching, research, and policy-making.

Professional Profile:

SCOPUS

ORCID

GOOGLE SCHOLAR

Summary of Suitability for Research for Best Scholar Award – Dr. Esmaeil Mirzaei Ghaleh

Dr. Esmaeil Mirzaei Ghaleh is a highly accomplished academic and researcher whose career reflects exceptional contributions to agricultural engineering, particularly in the field of biosystems mechanical engineering. His academic background, leadership roles, and national recognitions establish him as an outstanding candidate for the Research for Best Scholar Award.

🎓 Educational Background

  • Ph.D. in Agricultural Engineering – University of Tehran (2009–2013)
    📌 GPA: 18.44/20
    📘 Dissertation: Development of a Smart Solar System Based on Fuzzy Logic Controller for Poultry House Heating

  • M.Sc. in Agricultural Engineering – University of Tehran (2007–2009)
    📌 GPA: 18.36/20
    📘 Thesis: Modeling the Drying Kinetics of Thin Layers of Three Apricot Varieties

  • B.Sc. in Agricultural Machinery Engineering – University of Tabriz (2003–2007)
    📌 GPA: 18.11/20
    📘 Final Project: A Review on Biodiesel Fuels

💼 Academic & Managerial Work Experience

  • 🧑‍🏫 Associate Professor (Tenured) – Faculty of Agriculture, Razi University (2013–Present)

  • 🏫 Director General of Educational Affairs – Razi University, Main Campus (Current)

  • 📚 Member – Educational Council, Razi University (Since 2016)

  • 🛠️ Executive Secretary – 14th National Congress on Biosystems Mechanical Engineering and Mechanization (2022)

  • 🤝 Chair – Advancement Committee, Islamic Propagation Organization, Sonqor and Koliaei

  • 🧑‍🎓 Advisor – Student Scientific Association, Razi University (2018–2019)

  • 🧑‍💼 Member – Razi University Council (Since 2016)

🏅 Honors and Awards

  • 🏆 Dr. Kazem Ashtiani Research Award – National Elites Foundation (2014)

  • 🎓 Top Undergraduate Student – University of Tabriz

  • 🥉 3rd Rank – National M.Sc. Entrance Exam (2007)

  • 🥈 2nd Rank – National Ph.D. Entrance Exam (2009)

  • 🌟 Outstanding Student Awards – University of Tabriz (2006), University of Tehran (2010)

  • 💼 Top Manager Award – Razi University Admin & Finance Dept. (2019)

  • 🧑‍🏫 Best Teaching Faculty Award – Razi University (2022 & 2023)

  • 🎖️ Tier-2 Member – National Elites Foundation (Since 2009)

  • 🎓 Full Scholarship – Ministry of Science, Research and Technology (2009–2013)

Publication Top Notes:

A novel approach for identifying melamine adulteration in powdered milk with E-nose and AI

Detecting whey adulteration of powdered milk by analysis of volatile emissions using a MOS electronic nose

Gas sensor technology and AI: Forecasting lemon juice quality dynamics during the storage period

Nondestructive Technique for Identifying Adulteration and Additives in Lemon Juice Based on Analyzing Volatile Organic Compounds (VOCs)

Detecting the adulteration in apple vinegar using olfactory machine coupled PCA and ANN methods

Electronic Nose Analysis and Statistical Methods for Investigating Volatile Organic Compounds and Yield of Mint Essential Oils Obtained by Hydrodistillation

 

Dr. Tahera Kalsoom | Industrial IoT | Best Researcher Award

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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 Award – Top 20 MSc students, Middlesex University

  • 🏆 Distinction Award – Top 10 in BBA, Stenden University

  • 🎓 First Class Scholarship – Stenden University

  • 📜 Roll of Honour – Top 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

 

 

 

Ms. Devinder Kaur | Computer Science | Women Researcher Award

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Ms. Devinder Kaur | Computer Science | Women Researcher Award 

Ms. Devinder Kaur, Mata Gujri College, India

Dr. Devinder Kaur is an experienced academician currently serving as an Assistant Professor in the Department of Computer Applications at Mata Gujri College, Fatehgarh Sahib, with over 20 years of teaching experience. She holds a Bachelor’s degree in Computer Applications from Punjabi University, Patiala, and a Master’s degree in Computer Applications from Punjab Technical University, Jalandhar. She is presently pursuing her Ph.D. in Computer Science at Sri Guru Granth Sahib World University, Fatehgarh Sahib. Dr. Kaur has authored two academic books—A Practical Approach to Java Programming and An Introduction to System Software—and contributed numerous research papers and book chapters in both national and international journals and conference proceedings. Her recent research interests focus on IoT and machine learning applications in livestock health monitoring, cybersecurity, environmental sustainability, and green computing. She has also actively participated in national-level conferences, addressing critical topics like social media addiction, privacy concerns, and e-waste management. Dr. Kaur’s scholarly contributions reflect her dedication to bridging practical technology with real-world challenges in both academic and agricultural domains.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

Summary of Suitability for Women Researcher Award 

Dr. Devinder Kaur is a highly qualified and accomplished academic with over 20 years of teaching experience in Computer Science, currently serving as an Assistant Professor at Mata Gujri College, Fatehgarh Sahib. She holds Bachelor’s and Master’s degrees in Computer Applications and is currently pursuing her Ph.D. in Computer Science from Sri Granth Sahib World University, highlighting her continuous academic advancement.

🎓 Education

  • 🎓 Bachelors of Computer Applications (BCA) from Punjabi University, Patiala.

  • 🎓 Masters of Computer Applications (MCA) from Punjab Technical University, Jalandhar.

  • 📚 Pursuing PhD in Computer Science from Sri Granth Sahib World University, Fatehgarh Sahib.

👩‍🏫 Work Experience

  • 🏫 Assistant Professor at Mata Gujri College, Fatehgarh Sahib.

  • 📅 20 years of teaching experience in the field of Computer Science.

🏆 Achievements, Awards & Honors

  • 📖 Published Books:

    • “A Practical Approach to Java Programming” – 📘 Unistar Books Pvt Ltd (2018)

    • “An Introduction to System Software” – 📗 Narosa Publishing House (2020)

  • 📝 Research Contributions:

    • 📚 Multiple book chapters and conference papers on topics such as:

      • Green Computing 🌱

      • Social Media Psychology 📱

      • E-Waste Management ♻️

      • IoT and Machine Learning in Livestock Health 🐄💡

      • Breast Cancer Classification Using ML 🎗️🧠

  • 🔗 Featured in IEEE, Auerbach Publications, and peer-reviewed journals like Discover Internet of Things, IJIRAE, Journal of Electrical Systems.

  • 🌐 Contributed to multidisciplinary and international conferences on smart tech, computing trends, and innovative research in AI & IoT.

Publication Top Notes:

CITED:409
CITED:135
CITED:118
CITED:102
CITED:97
CITED:87
CITED:81

Prof. Dr. Ewa Wanda Ziemba | Smart Solutions | Best Paper Award

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Prof. Dr. Ewa Wanda Ziemba | Smart Solutions | Best Paper Award

Prof. Dr. Ewa Wanda Ziemba, University of Economics in Katowice, Poland

Prof. Ewa Wanda Ziemba is a distinguished Full Professor of Management at the University of Economics in Katowice, Poland. She holds multiple academic degrees, including a Ph.D. and postdoctoral habilitation in Economics, and has extensive expertise in social science, management, and information technologies. With a research focus on information systems and technologies for business, public administration, and sustainable development, she has published over 240 peer-reviewed papers, authored three books, and edited 24 volumes. Prof. Ziemba has played a pivotal role in more than 40 prestigious Polish and international research projects and is recognized for her contributions to the academic community, receiving numerous awards for her research excellence. She serves on the editorial boards of various international journals and is a member of the European Academy of Sciences and Arts. Prof. Ziemba is highly regarded in her field, being included in the top-cited scientists list by Stanford University in 2021.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Paper Award: Prof. Ewa Ziemba, Ph.D., D.Sc.

Prof. Ewa Ziemba is an outstanding candidate for the Best Paper Award due to her significant contributions to the fields of management and information systems over the past decade. As a Full Professor at the University of Economics in Katowice, she has demonstrated expertise in critical areas such as ICT adoption, sustainable development, and management information systems. Her research aligns with contemporary trends in technology and management, focusing on the intersection of information systems and societal development.

Education 🎓

  • M.Sc. in Economics (1984)
    University of Economics in Katowice
  • Ph.D. in Economics (1998)
    University of Economics in Katowice
  • Post Ph.D. (Habilitation) in Economics (2010)
    University of Economics in Katowice
  • Professor in Economics (2018)

Work Experience 💼

  • Full Professor
    University of Economics in Katowice (2019 – Present)
  • Head of Department of Business Informatics and International Accounting
    University of Economics in Katowice (2016 – Present)
  • Associate Professor
    University of Economics in Katowice (2011 – 2019)
  • Assistant Professor
    University of Economics in Katowice (1999 – 2011)
  • Assistant
    University of Economics in Katowice (1984 – 1999)
  • Ordinary Member
    European Academy of Sciences and Arts (2021 – Present)
  • Vice Head
    Silesian International School of Commerce (2009 – 2011)
  • Associate Professor, Head of Department of Informatics
    WSB University in Poznań (2004 – 2011)

Achievements 🌟

  • Published over 240 peer-reviewed papers, 3 books, and 24 edited volumes.
  • Included in the top 2% cited scientists list by Stanford University (2021).
  • Instrumental role in over 40 prestigious research projects.
  • Research expert for several organizations, including the National Centre for Research and Development in Poland and the Academy of Finland.

Awards and Honors 🏆

  • Prize of Polish Minister of Science and Higher Education for Excellent Research Achievement.
  • Excellence in Research & Scholarship Award.
  • Fellow & Distinguished Scholar Award.
  • 6 Silver and Bronze Journal Editor Awards.
  • 27 Awards of the Rector of the University of Economics in Katowice.
  • 10 Best Research Paper Awards, including recognition at the 30th International Conference on Information Systems Development (ISD’2022).

Publication Top Notes:

Behavioral Intention and Use of ChatGPT Among Accounting and Finance Students: A Two-Year Comparative Study

The determinants of ChatGPT usage among accounting students: the role of habit, social influence, and facilitating conditions

Environmental sustainability driven by ICTs: A Perspective of Enterprises and Government Units

Leveraging artificial intelligence to meet the sustainable development goals

Acceptance and Use of ChatGPT Among Accounting and Finance Higher Education Students

Dr. Samprit Banerjee | Sensor integration Awards | Excellence in Innovation

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Dr. Samprit Banerjee | Sensor integration Awards | Excellence in Innovation

Dr. Samprit Banerjee, Weill Medical College of Cornell University, United States

Dr. Samprit Banerjee is an Associate Professor of Biostatistics at the Weill Medical College of Cornell University, where he has held various academic appointments since 2011. He currently serves as an Associate Professor in both the Division of Biostatistics and the Department of Psychiatry, as well as the Director of the PhD program in Population Health Sciences. Dr. Banerjee’s expertise lies in biostatistics, data science, and epidemiology, with a focus on statistical methods for health research and healthcare policy. He is also a Special Government Employee at the FDA, contributing to the Center for Devices and Radiological Health. Dr. Banerjee has a distinguished academic background, holding a B.Stat and M.Stat from the Indian Statistical Institute, Kolkata, and a PhD in Biostatistics from the University of Alabama at Birmingham. His teaching experience includes directing multiple graduate-level courses in biostatistics, statistical learning, and big data in medicine. Throughout his career, he has mentored numerous junior researchers and contributed to the development of MS and PhD programs in Biostatistics and Data Science. Dr. Banerjee has also served as an elected representative for the Mental Health Statistics Section of the American Statistical Association.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Excellence in Innovation

Samprit Banerjee, PhD, is highly suitable for the “Research for Excellence in Innovation” award based on his extensive academic background, research contributions, and leadership roles in biostatistics, epidemiology, and data science. His expertise in high-dimensional data analysis, machine learning, and multivariate statistics, combined with his significant contributions to medical and healthcare research, makes him a standout candidate.

Education:

  • 1998-2001: B.Stat (Bachelors in Statistics), Indian Statistical Institute, Kolkata, India
  • 2001-2003: M.Stat (Masters in Statistics), Indian Statistical Institute, Kolkata, India
  • 2003-2008: PhD in Biostatistics, Department of Biostatistics, University of Alabama at Birmingham

Work Experience:

  • Jan 2020 – Present: Associate Professor, Division of Biostatistics, Department of Population Health Sciences, Weill Medical College, Cornell University, New York, NY
  • May 2023 – Present: Associate Professor of Biostatistics, Department of Psychiatry, Weill Medical College, Cornell University, New York, NY
  • Jan 2018 – Jan 2020: Associate Professor, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
  • Jan 2018 – Present: Adjunct Associate Professor, Department of Statistics and Data Science, Cornell University, Ithaca, NY
  • Nov 2020 – Present: Director (Founding) of PhD Program in Population Health Sciences, Department of Population Health Sciences, Weill Medical College, Cornell University, New York, NY
  • 2014 – Present: Special Government Employee, Center for Devices and Radiological Health (CDRH), Food and Drug Administration (FDA), Silver Springs, MD
  • 2022 – 2024: Elected Council of Sections Representative for the Mental Health Statistics Section of American Statistical Association (ASA)

Past Positions:

  • 2016 – 2020: Director (Founding) of MS Program in Biostatistics & Data Science, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
  • May 2011 – Dec 2017: Assistant Professor, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
  • May 2011 – Dec 2017: Adjunct Assistant Professor, Department of Statistical Science, Cornell University, Ithaca, NY
  • Aug 2008 – May 2011: Instructor, Division of Biostatistics and Epidemiology, Department of Public Health, Weill Medical College of Cornell University, New York, NY
  • Jun 2005 – Aug 2008: Graduate Research Assistant, Department of Biostatistics, University of Alabama, Birmingham (Supervisor: Dr. Nengjun Yi) – Developed Bayesian methods for detecting gene by gene and gene by environment interactions for QTLs in inbred mice.
  • Aug 2003 – Jun 2005: Graduate Research Assistant, Department of Biostatistics, University of Alabama at Birmingham (Supervisor: Dr. Varghese George) – Worked on Marginal Structural Models to investigate genetic effects in AIDS and developed Bayesian methods for QTL detection in Human Genetics.

Publication top Notes:

Perioperative comparative effectiveness of anesthetic technique in orthopedic patients

CITED:581

Rearrangements of the RAF kinase pathway in prostate cancer, gastric cancer and melanoma

CITED:556

Mechanism-based epigenetic chemosensitization therapy of diffuse large B-cell lymphoma

CITED:219

Epigenetic repression of miR-31 disrupts androgen receptor homeostasis and contributes to prostate cancer progression

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Elevated prefrontal cortex GABA in patients with major depressive disorder after TMS treatment measured with proton magnetic resonance spectroscopy

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R/qtlbim: QTL with Bayesian interval mapping in experimental crosses

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Prof. Hieyong Jeong | Smart Systems Award | Best Researcher Award

Posted on by Global Sensor Awards

Prof. Hieyong Jeong | Smart Systems Award | Best Researcher Award

Prof. Hieyong Jeong, Chonnam National University, South Korea

Dr. Hieyong Jeong is a Professor in the Department of Artificial Intelligence Convergence at Chonnam National University, Republic of Korea. He earned his Bachelor of Engineering from Pukyoung National University in 2002, followed by a Master of Engineering from Hiroshima University in 2006, and a Ph.D. in Engineering from Osaka University in 2009, where he studied under the guidance of Prof. Makoto Kaneko. Dr. Jeong has a diverse educational background with coursework in the Internet of Things, vital signal processing, artificial intelligence, and robotics.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award:

          Dr. Hieyong Jeong is a distinguished researcher and professor in the field of engineering, with a
remarkable academic and professional background that makes him a strong candidate for the Best
Researcher Award. His extensive education includes a Bachelor’s degree in Engineering from
Pukyoung National University, a Master’s degree from Hiroshima University, and a Ph.D. in
Engineering from Osaka University, all of which have equipped him with deep expertise in various
engineering disciplines. His academic journey under the mentorship of renowned professors like
Prof. Makoto Kaneko highlights his solid foundation in research.

Education:

  • March 1996 ~ August 2002:
    • Institution: Pukyoung National University, Republic of Korea
    • Degree: Bachelor of Engineering
  • April 2004 ~ March 2006:
    • Institution: Hiroshima University, Japan
    • Degree: Master of Engineering
    • Supervisor: Prof. Makoto Kaneko
  • April 2006 ~ May 2009:
    • Institution: Osaka University, Japan
    • Degree: Ph.D. in Engineering
    • Supervisor: Prof. Makoto Kaneko
    • Relevant Coursework: Internet of Things, Vital Signal Processing and Analysis, Artificial Intelligence, Robotics

Work Experience:

  • April 2009 ~ November 2013:
    • Position: Senior Engineering Researcher
    • Institution: Institute of Industrial Science and Technology, SAMSUNG HEAVY INDUSTRIES LTD., CO., Republic of Korea
  • December 2013 ~ March 2014:
    • Position: Senior Engineering Researcher
    • Institution: Robot Research Initiative, Chonnam National University, Republic of Korea
  • April 2014 ~ August 2019:
    • Position: Associate Professor
    • Institution: Graduate School of Medicine, Osaka University, Japan
  • September 2019 ~ Present:
    • Position: Professor
    • Department: Department of Artificial Intelligence Convergence, Chonnam National University, Republic of Korea

Publication top Notes:

Effect of Light-Emitting Grid Panel on Indoor Aquaculture for Measuring Fish Growth

Detection of Abnormal Changes on the Dorsal Tongue Surface Using Deep Learning

One-Step Gait Pattern Analysis of Hip Osteoarthritis Patients Based on Dynamic Time Warping through Ground Reaction Force

Consideration for Positive and Negative Effect of Multi-Sensory Environment Interventions on Disabled Patients through Electrocardiography

Scoring of Human Body-Balance Ability on Wobble Board Based on the Geometric Solution

Study on Image Processing of Capillaries Using Microscope: Initial Considerations