Dr. Alexandra Takou | Electronics Awards | Research Excellence Award

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Dr. Alexandra Takou | Electronics Awards | Research Excellence Award 

Dr. Alexandra Takou | Electronics Awards | University of Thessaly | Greece

Dr. Alexandra Takou is a female researcher with strong expertise in hardware security, reliability-aware electronic systems, and sensor-integrated computing architectures within the field of Electrical and Computer Engineering. Her academic background includes advanced doctoral training and an integrated Master’s education, both completed at the University of Thessaly, Greece, where her research has focused on hardware Trojan detection, reliability-aware attack modeling, and secure system design for modern electronic and sensing platforms. Professionally, she has served as a researcher at the University of Thessaly, contributing to internationally collaborative research projects involving academia and industry partners, where she played a key role in software development, electromagnetic model reduction, signal propagation visualization, and optimization of telecommunication infrastructure. Her professional experience also includes industrial exposure through an internship role focused on network automation and system integration using Python-based solutions.

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Prof. Ziyodulla Yusupov | Power Systems | Sensing Technology Award

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Prof. Ziyodulla Yusupov | Power Systems | Sensing Technology Award

Prof. Ziyodulla Yusupov | Power Systems |Tashkent Institute of Textile and Light Industry | Uzbekistan

Prof. Ziyodulla Yusupov is a male academic and engineering researcher with extensive expertise in electrical and electronics engineering, particularly in the optimization and control of electrical power systems, microgrids, renewable energy integration, and electric vehicle–oriented energy infrastructure. He completed his Bachelor’s and Master’s education in electrical-electronics engineering with a specialization in automatic control of technical systems at Tashkent State Technical University and earned his Doctor of Philosophy in Electrical Engineering from the Institute of Power Engineering and Automation of the Uzbekistan Academy of Sciences, where his doctoral research addressed energy-saving control modes for electric drive systems in large-scale pumping stations.

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Featured Publications


Towards sustainable renewable energy

– Applied Solar Energy | Citations: 89

Solar and wind atlas for Libya

– International Journal of Electrical Engineering and Sustainability | Citations: 72

An integrated PV farm to the unified power flow controller for electrical power system stability

– International Journal of Electrical Engineering and Sustainability | Citations: 55

Prof. Daehee Choi | Quorum Sensing | Research Excellence Award

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Prof. Daehee Choi | Quorum Sensing | Research Excellence Award

Prof. Daehee Choi | Quorum Sensing | Yeungnam University | South Korea

Prof. Daehee Choi is a male academic and researcher in the field of environmental engineering with a strong specialization in advanced wastewater treatment, biological nitrogen removal, and process-oriented environmental sensing applications. He completed his Bachelor of Science and Doctor of Philosophy in Environmental Engineering at Yeungnam University and further strengthened his academic foundation through postdoctoral research in the same department, subsequently advancing to his current role as Associate Professor at Yeungnam University. His professional experience spans academic teaching, graduate supervision, applied research leadership, and industry-linked technology transfer, with a consistent focus on sustainable and energy-efficient wastewater treatment systems.

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Dr. Byoungki Choi | Hydrology | Sensing Technology Award

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Dr. Byoungki Choi | Hydrology | Sensing Technology Award 

Dr. Byoungki Choi | Hydrology | National Institute of Forest Science | South Korea

Dr. Byoungki Choi is a dedicated male researcher at the National Institute of Forest Science, Seoul, South Korea, whose academic journey includes advanced graduate-level education culminating in a Ph.D. focused on forest ecology and environmental monitoring using quantitative and sensor-assisted approaches. His professional experience spans rigorous research positions where he has conducted interdisciplinary work that bridges ecological field studies, pathogen monitoring, and environmental sensing techniques. He has authored 22 Scopus-indexed publications, accumulating 78 citations with an h-index of 4 , with key papers published in high-impact journals such as Forests and the Journal of Plant Pathology, reflecting his interdisciplinary expertise spanning environmental sensors, hydrological monitoring, and phytopathology analytics.

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Changes in Runoff Responses After Replantation Following Clearcutting in a Mixed Forest Headwater Catchment

– Forests, 2025


First report of Erysiphe aquilegiae causing powdery mildew on Chinese buttercup (Ranunculus cantoniensis) in Korea

– Journal of Plant Pathology, 2025

Prof. Dr. Sebastian-Camilo Vanegas-Ayala | Fuzzy Inference | Research Excellence Award

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Prof. Dr. Sebastian-Camilo Vanegas-Ayala | Fuzzy Inference | Research Excellence Award 

Prof. Dr. Sebastian-Camilo Vanegas-Ayala | Fuzzy Inference | Francisco José de Caldas District University | Colombia

Prof. Dr. Sebastian-Camilo Vanegas-Ayala is a Colombian computational engineer and artificial intelligence researcher whose work bridges smart agriculture, environmental sensing, and predictive analytics through advanced evolutionary fuzzy inference and machine learning applied to greenhouse and agroclimatic systems, making his scholarship highly relevant to digital farming and sensor-driven decision platforms. He completed his Doctor of Philosophy in Engineering at Francisco José de Caldas District University, following advanced training in Information and Communication Sciences, Systems Engineering, and Computer Engineering, which collectively provide him with a strong interdisciplinary foundation in computational modeling, data science, and intelligent systems engineering. 5 indexed publications, 77 citations from 56 citing documents, and an h-index of four.

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Dr. Abida | Materials Science | Women Researcher Award

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Dr. Abida | Materials Science | Women Researcher Award

Dr. Abida | Materials Science | Swami Vivekanand Subharti University | India

Dr. Abida is a distinguished materials chemist and academic professional whose research integrates heterogeneous catalysis, nanomaterials, environmental chemistry, and sustainable energy systems with strong relevance to sensor-enabled chemical technologies and advanced functional materials. She earned her Doctor of Philosophy in Chemistry from Thapar Institute of Engineering and Technology, supported by rigorous postgraduate and undergraduate training in chemical sciences from C.C.S. University, which together provide her with a strong theoretical and experimental foundation in applied chemistry and materials engineering. Her scholarly output is validated by a strong Scopus profile showing sixteen indexed publications, one hundred forty citations across one hundred twenty-four citing documents, and an h-index of eight.

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Dr. Karim Khaled | Epidemiology | Research Excellence Award

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Dr. Karim Khaled | Epidemiology | Research Excellence Award 

Dr. Karim Khaled | Epidemiology | Lebanese American University | Lebanon

Dr. Karim Khaled is an internationally trained epidemiologist and academic leader whose scholarly work integrates epidemiologic methods, nutritional science, behavioral health, and biostatistical modeling to advance population-level disease prevention and public health policy. He holds a Doctor of Philosophy in Epidemiology from Bournemouth University, a Master of Science in Nutrition and Behaviour from Bournemouth University, and a Bachelor of Science in Nutrition and Dietetics from Lebanese American University, forming a strong multidisciplinary foundation that supports his advanced research in causal inference, chronic disease epidemiology, and social determinants of health.

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Dr. Zobeir Raisi | Deep Learning | Excellence in Research Award

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Dr. Zobeir Raisi | Deep Learning | Excellence in Research Award 

Dr. Zobeir Raisi | Deep Learning | Chabahar Maritime University | Iran

Dr. Zobeir Raisi is a male expert in computer vision, machine learning, and deep learning, specializing in object detection, recognition, tracking, segmentation, 3D human pose estimation, and camera calibration, combining advanced theoretical knowledge with practical and applied research experience. He holds a Ph.D. in Systems Design Engineering from the University of Waterloo, Canada, and both M.E. and B.E. degrees in Electrical Engineering from the University of Sistan & Balouchestan, Iran, reflecting a strong academic foundation and interdisciplinary technical proficiency. Dr. Zobeir Raisi’s professional experience encompasses postdoctoral research focused on automating sports analytics using smartphone cameras, supervising master’s students in camera calibration projects with industry collaboration, and conducting Ph.D.-level research on transformer-based deep learning frameworks for arbitrary-shaped text detection and recognition in complex visual environments. He has contributed as a research assistant in computer vision and machine learning applications for automated assembly and anomaly detection systems, as well as serving as a lecturer and assistant professor at Chabahar Maritime University, teaching courses spanning digital image processing, digital systems, electrical circuits, computer architecture, microcontrollers, and electromagnetics, while mentoring undergraduate and graduate students and managing journal editorial processes.

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Machine Learning Algorithms for Signal and Image Processing


– John Wiley & Sons, 2022 · 100+ Citations

Transformer-Based Text Detection in the Wild


– IEEE/CVF CVPR, 2021 · 74 Citations

2D Positional Embedding-Based Transformer for Scene Text Recognition


– Journal of Computational Vision and Imaging Systems, 2020 · 32 Citations

Dr. Sadegh Ghavami | Nano Sensors | Research Excellence Award

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Dr. Sadegh Ghavami | Nano Sensors | Research Excellence Award

Dr. Sadegh Ghavami | Nano Sensors | Sahand University of Technology | Iran

Dr. Sadegh Ghavami is a male geotechnical engineer and academic researcher with expertise in soil stabilization, physical and centrifuge modeling, numerical analysis, and advanced construction materials, demonstrating a comprehensive approach to civil infrastructure and smart geotechnical systems. He holds a Ph.D. in Civil Engineering with a focus on Geotechnical Engineering from Iran University of Science and Technology, supported by M.S. and B.S. degrees in Civil Engineering from Sharif University of Technology. His professional experience includes extensive teaching roles at multiple universities, delivering core and advanced courses such as soil mechanics, foundation engineering, soil dynamics, geotechnical earthquake engineering, and earth-fill dam design, as well as serving as a teaching assistant in continuum mechanics and geotechnical laboratory courses. Dr. Sadegh Ghavami’s research portfolio focuses on soil stabilization techniques, centrifuge-based physical modeling, finite element analysis of geotechnical systems, and construction material performance, emphasizing data-driven and sensor-informed approaches to infrastructure resilience. He has published in high-impact Scopus- and IEEE-indexed journals, contributing 11 peer-reviewed documents with more than 200 citations and an h-index of 6, reflecting substantial research influence.

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Top 5 Publications


Effects of Silica Fume and Nano-silica on the Engineering Properties of Kaolinite Clay

AUT Journal of Civil Engineering, 2018 · 📖 Citations: 50

Dr. Annarosa Scalcione | Machine Learning | Research Excellence Award

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Dr. Annarosa Scalcione | Machine Learning | Research Excellence Award 

Dr. Annarosa Scalcione | Machine Learning | Polytechnic University of Turin | Italy

Dr. Annarosa Scalcione is a female biomedical engineer with a strong interdisciplinary background in biomedical instrumentation, sensor-based health monitoring, medical imaging, and digital healthcare solutions, combining engineering rigor with clinical relevance. She completed advanced academic training in biomedical engineering at Politecnico di Torino, with specialization in biomedical instrumentation and sensor systems, supported by foundational education in biomedical engineering from the same institution, where her academic work focused on sustainable biomaterials and applied medical technologies. Her professional experience includes roles as a Junior Application Consultant contributing to the digitalization of hospital clinical and administrative processes, operating room specialist engagement within medical institutions, and academic teaching collaboration supporting undergraduate engineering education. Dr. Annarosa Scalcione has led and contributed to multiple applied and experimental research projects, including the design of a web-based neonatal monitoring platform integrating sensor-derived growth data, dynamic visualization, personalized alerts aligned with international health standards, and telemedicine functionalities. Her research portfolio also includes experimental biomechanics studies using mobile sensors to evaluate neuromuscular performance, automated classification of spinal lesions from medical imaging using machine learning and radiomics, and advanced image segmentation methodologies applied to neurological datasets.

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