Ms. Devinder Kaur | Computer Science | Women Researcher Award

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Ms. Devinder Kaur | Computer Science | Women Researcher AwardΒ 

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 booksβ€”A Practical Approach to Java Programming and An Introduction to System Softwareβ€”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:

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Summary of Suitability for Women Researcher AwardΒ 

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.

πŸŽ“ Education

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

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

  • πŸ“š Pursuing PhD in Computer Science from Sri Granth Sahib World University, Fatehgarh Sahib.

πŸ‘©β€πŸ« Work Experience

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

  • πŸ“… 20 years of teaching experience in the field of Computer Science.

πŸ† Achievements, Awards & Honors

  • πŸ“– Published Books:

    • β€œA Practical Approach to Java Programming” – πŸ“˜ Unistar Books Pvt Ltd (2018)

    • β€œAn Introduction to System Software” – πŸ“— Narosa Publishing House (2020)

  • πŸ“ Research Contributions:

    • πŸ“š Multiple book chapters and conference papers on topics such as:

      • Green Computing 🌱

      • Social Media Psychology πŸ“±

      • E-Waste Management ♻️

      • IoT and Machine Learning in Livestock Health πŸ„πŸ’‘

      • Breast Cancer Classification Using ML πŸŽ—οΈπŸ§ 

  • πŸ”— 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.

PublicationΒ Top Notes:

CITED:409
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CITED:97
CITED:87
CITED:81

Mr. CEYHUN YILMAZ | Smart Devices | Best Researcher Award

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Mr. CEYHUN YILMAZ | Smart Devices | Best Researcher AwardΒ 

Mr. CEYHUN YILMAZ, Sakarya University, Turkey

Assoc. Prof. Dr. Ceyhun Yılmaz is a distinguished mechanical engineer specializing in thermodynamic modeling, renewable energy systems, and hydrogen fuel cells. He earned his Ph.D., M.Sc., and B.Sc. in Mechanical Engineering (English) from the University of Gaziantep. With over a decade of academic and research experience, he has served as a Research Assistant, Assistant Professor, and now an Associate Professor at Afyon Kocatepe University. His expertise includes thermoeconomic analysis, optimization of energy systems, and hydrogen production technologies. Dr. Yılmaz has supervised multiple graduate theses and led numerous TÜBİTAK-funded projects on sustainable energy solutions. He is an active member of ASME and the Turkish Thermal Science and Technique Association, contributing to high-impact scientific publications in top-tier journals. His dedication to advancing energy technologies continues to make a significant impact in the field.

Professional Profile:

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ORCID

Suitability for Best Researcher Award

Assoc. Prof. Dr. Ceyhun YΔ±lmaz has extensive experience in mechanical engineering, energy systems, and thermoeconomic optimization. His contributions to hydrogen fuel cells, renewable energy, and sustainability demonstrate significant impact in his field. Given his strong academic background, leadership in research, and international training, he is a strong candidate for the Best Researcher Award.

Education πŸŽ“

  • Bachelor of Science in Mechanical Engineering (English)
    University of Gaziantep, 2009
  • Master of Science in Mechanical Engineering (English)
    University of Gaziantep, 2011
  • Ph.D. in Mechanical Engineering (English)
    University of Gaziantep, 2016
    (Includes training at American Mechanical Engineering Society-Hydrogen and Fuel Cell, San Diego, USA, 2014 – 5 months)

Work Experience πŸ’Ό

  • Research Assistant
    Department of Mechanical Engineering, University of Gaziantep, 2010-2016
  • Assistant Professor
    Department of Mechanical Engineering, Afyon Kocatepe University, 2017-2020
  • Associate Professor
    Department of Mechanical Engineering, Afyon Kocatepe University, 2020–present

Achievements πŸ†

  • Supervised several Ph.D. and M.Sc. theses, including:
    • Γ–mer Faruk GΓΌler: Numerical Modeling of Hydrogen PEM Fuel Cell and Thermoeconomic Optimization (Ph.D., 2022)
    • Muhammed Arslan: Thermodynamic Modeling of a Biogas Power Plant (Ph.D., 2022)
    • Ozan Şen: Thermoeconomic Analysis of Geothermal and Solar Energy (M.Sc., 2021)
    • Ali Hasan Abbas: Thermodynamic Analysis of Natural Gas Liquefaction (M.Sc., 2021)
  • Involved in multiple TÜBΔ°TAK projects (Turkey’s scientific and technological research body), including:
    • Hydrogen Production Simulation using renewable energy and water electrolysis (2022-2023)
    • Concentrated Solar Collector for Afyon Province solar data (2022-2023)
    • Vanadium Redox Flow Battery Performance Evaluation (2023-2025)

Awards & Honors πŸ…

  • Received TÜBΔ°TAK project scholarships and executed high-impact research projects related to geothermal energy, hydrogen production, and renewable energy optimization.

PublicationΒ Top Notes:

Drought-induced oxidative damage and antioxidant responses in peanut (ArachisΒ hypogaeaΒ L.) seedlings

CITED:162

Thermodynamic evaluation of geothermal energy powered hydrogen production by PEM water electrolysisEconomics of hydrogen production and liquefaction by geothermal energy

CITED:152

Economics of hydrogen production and liquefaction by geothermal energy

CITED:126

CITED:124
CITED:111

Mr. Tamoor Shafique | Devices Award | Best Researcher Award

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Mr. Tamoor Shafique | Devices Award | Best Researcher Award

Mr. Tamoor Shafique, Staffordshire University, United Kingdom

Dr. Tamoor Shafique is a Senior Lecturer in Automation & Robotics Engineering at Staffordshire University, where he also serves as Course Leader for MEng/BEng (Hons) Electrical and Electronic Engineering. With a Ph.D. in Electrical Engineering, a Master’s from CIIT Islamabad, and a Bachelor’s from UCET Mirpur, Dr. Shafique has extensive experience in both academia and industry. He specializes in curriculum development, strategic decision-making, and stakeholder liaison, with a strong track record in quality assurance and educational leadership. Dr. Shafique has published six impactful journal papers and contributed to IEEE conference proceedings. His professional experience includes roles as Deputy Head of Engineering HE at University Centre Wigan & Leigh College and Lecturer at various institutions, including Mirpur University of Science and Technology and Conceptz IT Solutions and Training Institute. He is a Fellow of the Higher Education Academy (FHEA) and holds a PGCert in Education. In addition to his academic roles, Dr. Shafique has been involved in local community service as a Foundation Governor at Great Ashton Academy Trust. His research and teaching focus on Robotics, Electronics, and Automation, and he is committed to enhancing educational standards and student engagement.

Professional Profile:

ORCID

 

Summary of Suitability for Best Researcher Award:

Engr. Tamoor Shafique is a distinguished Senior Lecturer in Automation and Robotics Engineering at Staffordshire University with a comprehensive background in electrical engineering and education. His experience spans both academia and industry, demonstrating a deep commitment to engineering education and research.

Education:

  • PhD: Completion in June 2024. πŸŽ“
  • MSc (Electrical Engineering): CIIT Islamabad, Pakistan (2011-2013). πŸ“Š
  • BSc (Electrical Engineering): UCET Mirpur, Pakistan (2006-2010). πŸ“
  • PGCert in Education (Education and Training): University of Central Lancashire, UK (2022). 🌟
  • FHEA: Fellowship of Higher Education Academy (2022). πŸŽ“

Professional Experience:

  • Course Leader and Senior Lecturer, Staffordshire University (Jan 2022 – Present): Overseeing MEng/BEng Electrical and Electronic Engineering, contributing to course re-accreditation, and developing blended learning strategies. 🏫
  • Deputy Head of Engineering HE, University Centre Wigan & Leigh College (Jun 2017 – 2022): Managed quality assurance, internal audits, and curriculum development. πŸ”§
  • Controls Engineer, Air Handlers Northern Limited (Oct 2016 – Feb 2017): Assisted in developing strategies for AHU Controllers. 🌬️
  • Lecturer, Mirpur University of Science and Technology (Sep 2014 – Sep 2016): Taught and managed various academic responsibilities. πŸ“˜

Interests & Hobbies:

  • Engaging with local communities and volunteering. 🌍
  • Playing badminton and reading. πŸΈπŸ“š
  • Spending time with family and friends. πŸ‘¨β€πŸ‘©β€πŸ‘§β€πŸ‘¦

Publication top Notes:

Data Traffic Based Shape Independent Adaptive Unequal Clustering for Heterogeneous Wireless Sensor Networks

Node Role Selection and Rotation Scheme for Energy Efficiency in Multi-Level IoT-Based Heterogeneous Wireless Sensor Networks (HWSNs)

A Review of Energy Hole Mitigating Techniques in Multi-Hop Many to One Communication and its Significance in IoT Oriented Smart City Infrastructure

Data Augmentation-Assisted Makeup-Invariant Face Recognition

Automatic Grading of Palsy Using Asymmetrical Facial Features: A Study Complemented by New Solutions