Assoc. Prof. Dr. Huseyin Erdal | Automation | Best Researcher Award

Posted on 15/10/2025 by Global Sensor Awards

Assoc. Prof. Dr. Huseyin Erdal | Automation | Best Researcher Award

Assoc. Prof. Dr. Huseyin Erdal | Automation | Aksaray University | Turkey

Hüseyin Erdal, Ph.D., is an Associate Professor in the Department of Medical Genetics at the Faculty of Medicine, Aksaray University, with a specialization in molecular biochemistry, genetics, and biomedical research. He earned his Ph.D. in Molecular Biochemistry and Genetics from Hatay Mustafa Kemal University in 2019, focusing on thiol-disulfide balance and thioredoxin reductase enzyme levels in chronic kidney disease and hemodialysis patients. In addition, he holds two bachelor’s degrees: one in Chemistry and another in Economics from Anadolu University, complementing his interdisciplinary expertise. Professor Erdal began his academic career as a Research Assistant at Mustafa Kemal University, conducting studies in analytical chemistry and molecular sciences, before joining Aksaray University as an Assistant Professor and later being promoted to Associate Professor in 2023. His professional work spans molecular biochemistry, genetics, biomaterials, and therapeutic applications, emphasizing translational research that bridges fundamental molecular mechanisms with clinical implementation.

Professional Profile

Scopus

Google Scholar

Suitability Summary

Prof. Hüseyin Erdal is a distinguished scientist whose exceptional contributions in molecular biochemistry, genetics, and biomedical research make him highly suitable for the Best Researcher Award. With a Ph.D. in Molecular Biochemistry and Genetics from Hatay Mustafa Kemal University (2019), his work has focused on critical areas such as dynamic thiol-disulfide balance and thioredoxin reductase enzyme levels in chronic kidney disease, demonstrating a strong commitment to understanding and addressing complex molecular mechanisms relevant to human health.

Education

Ph.D. in Molecular Biochemistry and Genetics, Hatay Mustafa Kemal University, 2019
Thesis: “Dynamic thiol-disulfide balance and thioredoxin reductase enzyme levels in chronic kidney disease and thiol balance in hemodialysis”
Research experience at University of Florida, 2013
Bachelor’s Degree in Chemistry, Anadolu University (Open Education), 2017
Bachelor’s Degree in Economics, Anadolu University (Open Education), 2017

Work Experience

Associate Professor, Department of Medical Genetics, Faculty of Medicine, Aksaray University, August 2023 – Present
Assistant Professor, Department of Medical Genetics, Faculty of Medicine, Aksaray University, 2020 – 2023
Research Assistant, Department of Chemistry, Mustafa Kemal University, 2014 – 2020

Achievements

Supervised graduate research projects, including innovative studies on collagen-based composite films for wound healing
Conducted research in molecular biochemistry, genetics, biomaterials, and therapeutic applications
Expertise in laboratory methodologies, enzymology, biochemical assays, and translational research bridging molecular insights with clinical applications

Awards and Honors

Recognized for contributions to biomedical research and translational science through awards and academic distinctions

Publication Top Notes

Title: Oxidative stress and its impacts on intracellular lipids, proteins and DNA
Authors: O. Özcan, H. Erdal, G. Çakırca, Z. Yönden
Year: 2015
Citations: 158
Title: Oxidative stress and its effects on intracellular lipid, protein and DNA structures
Authors: O. Özcan, H. Erdal, G. Çakırca, Z. Yönden
Year: 2015
Citations: 122
Title: Cancer cell sensing and therapy using affinity tag-conjugated gold nanorods
Authors: E. Yasun, H. Kang, H. Erdal, S. Cansiz, I. Ocsoy, Y.F. Huang, W. Tan
Year: 2013
Citations: 67
Title: The Effect of Pneumatic Tube Systems on the Hemolysis of Biochemistry Blood Samples
Authors: G. Çakırca, H. Erdal
Year: 2017
Citations: 41
Title: Biomedical applications of polyglycolic acid (PGA)
Authors: E. Göktürk, H. Erdal
Year: 2017
Citations: 32
Title: Plasma ischemia-modified albumin levels and dynamic thiol/disulfide balance in sickle cell disease: a case-control study
Authors: O. Özcan, H. Erdal, G. İlhan, D. Demir, A.B. Gürpınar, S. Neşelioğlu, Ö. Erel
Year: 2018
Citations: 28
Title: Evaluation of thiol-disulfide balance in adolescents with vitamin B12 deficiency
Authors: M.S. Demirtaş, H. Erdal
Year: 2023
Citations: 19
Title: Thiol/disulfide Homeostasis as a New Oxidative Stress Marker in Patients with Fabry Disease
Authors: H. Erdal, F. Turgut
Year: 2023
Citations: 18

Dr. Mojtaba Ahmadieh khanesar | Metrology | Best Researcher Award

Posted on 04/10/2025 by Global Sensor Awards

Dr. Mojtaba Ahmadieh khanesar | Metrology | Best Researcher Award

Dr. Mojtaba Ahmadieh khanesar | Metrology | University of Nottingham | United Kingdom

Dr. Mojtaba Ahmadieh Khanesar is a distinguished research fellow in optical metrology and machine learning at the Department of Mechanical, Materials and Manufacturing Engineering, University of Nottingham. He holds a Ph.D. in Control Engineering from K. N. Toosi University of Technology and has extensive experience in metrology, robotics, control systems, artificial intelligence, and machine learning. Throughout his career, Dr. Khanesar has contributed to internationally recognized projects funded by EPSRC, including Robodome imaging for high-performance aerostructures, HARISOM for precise industrial robot manipulation, and Chattyfactories for next-generation industrial systems, demonstrating proficiency in experimental design, data acquisition, and real-time control using advanced robotics platforms such as UR5, Baxter, Sawyer, and laser tracking systems. He has also supervised Ph.D. and undergraduate students, providing mentorship in control, robotics, and machine learning projects, and delivered lectures on Bayesian learning and reinforcement learning at the University of Nottingham. Dr. Khanesar has held research and teaching positions across Denmark, Turkey, Iran, and the United Kingdom, reflecting his global research engagement and collaborative approach. His research has been widely published, with 112 documents, 2,377 citations, and an h-index of 25, including publications in high-impact journals such as IEEE Transactions, Robotics, Mechanism and Machine Theory, and Sensors. His professional affiliations include SMIEEE, MIET, and MASME, highlighting his recognized standing in international technical communities.

Professional Profile: ORCID | Scopus

Selected Publications

Ahmadieh Khanesar, M. (2025). Inkjet printing of ZIF-67 based-polymer composite membranes. Separation and Purification Technology. 0 citations.
Ahmadieh Khanesar, M. (2025). Multi-Objective Intelligent Industrial Robot Calibration Using Meta-Heuristic Optimization Approaches. Robotics. 0 citations.
Ahmadieh Khanesar, M. (2025). Virtual Instrument for a Multi-illumination Dome System. Conference Paper. 0 citations.
Ahmadieh Khanesar, M. (2023). Precision Denavit–Hartenberg Parameter Calibration for Industrial Robots Using a Laser Tracker System and Intelligent Optimization Approaches. Sensors, Basel, Switzerland. 25 citations.
Ahmadieh Khanesar, M. (2023). A Neural Network Separation Approach for the Inclusion of Static Friction in Nonlinear Static Models of Industrial Robots. IEEE ASME Transactions on Mechatronics. 9 citations.

Dr. Tahera Kalsoom | Industrial IoT | Best Researcher Award

Posted on 06/05/2025 by Global Sensor Awards

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

Mr. Joel Adams | Automation | Best Researcher Award

Posted on 27/02/2025 by Global Sensor Awards

Mr. Joel Adams | Automation | Best Researcher Award

Mr. Joel Adams, Florida International University, United States

Joel Adams is a robotics researcher and Ph.D. candidate in Mechanical Engineering at Florida International University, specializing in autonomous mobile and manipulator systems. With extensive experience in radiological surveillance, autonomous mission planning, and multi-robot coordination, he has developed innovative solutions integrating sensor technologies such as LiDAR, depth cameras, and IMUs. His expertise includes robotics middleware (ROS1, ROS2), simulation tools (Gazebo, PyBullet), and advanced programming in C++, Python, and MATLAB. As a Research Assistant at the Applied Research Center since 2019, he has contributed to cutting-edge projects in autonomous system development, multi-robot collaboration, and real-world testing of robotic platforms.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Joel Adams appears to be a strong candidate for the Best Researcher Award, particularly if the award recognizes contributions in robotics, autonomous systems, and applied research in radiological surveillance. His work aligns well with advanced robotics, AI-driven mission planning, and real-world applications in nuclear site monitoring.

🎓 Education

Florida International University
- Ph.D. in Mechanical Engineering (Expected Summer 2025) 🎯 (GPA: 3.87)
- Master of Science in Mechanical Engineering (Summer 2024) 🛠️ (GPA: 3.87)
- Bachelor of Science in Mechanical Engineering (Honors College) (Fall 2019) 🏅 (GPA: 3.72)
Miami Dade College
- Associate in Arts Degree (Highest Honors) (Summer 2015) 🏆 (GPA: 3.95)

💼 Work Experience

Applied Research Center, Florida International University (March 2019 – Present)
Research Assistant
- 🚀 Developed autonomous systems for radiological surveillance in nuclear sites, integrating LiDAR, depth cameras, and IMUs.
- 🧠 Designed multi-robot mission planning solutions using network bridges and behavior-tree-based task allocation.
- 🛠️ Conducted testing in simulation (Gazebo, PyBullet) and real-world robotic platforms for validation.

🏆 Achievements, Awards & Honors

🎖️ Highest Honors Graduate – Miami Dade College
🏅 Honors College Graduate – Florida International University
🤖 Developed autonomous systems for radiological surveillance, enhancing safety in nuclear environments
🏆 Contributed to multi-robot coordination research, advancing mission planning strategies in robotics
🏅 Published research contributions in robotics intelligence and autonomous system optimization