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

CITED:195

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

CITED:156

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

CITED:153

 

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

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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