Dr. Suman Singh | Biosensors Awards | Distinguished Scientist Award

Posted on by Global Sensor Awards

Dr. Suman Singh | Biosensors Awards | Distinguished Scientist Award 

Dr. Suman Singh | Biosensors Awards | CSIR-Central Scientific Instruments Organisation | India

Dr. Suman Singh is a Senior Principal Scientist at the Applied Materials & Instrumentation Division, CSIR-Central Scientific Instruments Organisation (CSIR-CSIO), Chandigarh, and serves as Coordinator and Professor at the Academy of Scientific & Innovative Research (AcSIR), Ghaziabad. He earned his Ph.D. from Panjab University, Chandigarh, specializing in nanotechnology and biosensors, and holds an M.Sc. in Inorganic Chemistry and a B.Sc. in Chemistry from Banasthali Vidyapith, Rajasthan. Dr. Suman Singh has a distinguished professional trajectory at CSIR-CSIO, progressing from Junior Scientist to Scientist, Senior Scientist, Principal Scientist, and now Senior Principal Scientist, with extensive experience in research, development, and technology transfer. His research focuses on advanced materials, additive manufacturing, and sensor platforms to address global challenges in sustainable energy, clean water, food safety, and affordable healthcare. He develops portable bio- and chemical sensors for on-site detection of contaminants, photo- and photoelectrocatalytic systems for pollutant degradation, and engineered treatment cartridges for wastewater recycling. In diagnostics, he advances point-of-care and early disease detection through optical and electrochemical transducers, including screen-printed electrodes, thin films, paper microfluidics, and lateral flow devices for cardiac, cancer, glucose, and infectious disease biomarkers. His work in additive manufacturing targets 3D printed electrodes for sustainable energy applications, microbial fuel cells, supercapacitors, and electrochemical synthesis, emphasizing scalability, affordability, and environmental impact. Dr. Suman Singh specializes in functional nanomaterials, metal nanoparticles, semiconductors, quantum dots, 2D materials, carbon-based systems, conducting polymers, ceramic nanocomposites, and molecularly imprinted polymers. He has authored over 100 publications, holds multiple patents, copyrights, and design registrations, and has developed technologies successfully transferred to industry.

Professional Profiles: ORCID | Scopus | Google Scholar  

Selected Publications

  1. S. Singh. (2007). Sensors—An effective approach for the detection of explosives. Journal of Hazardous Materials, 144(1-2), 15–28. Citations: 627

  2. S. Singh, P.R. Solanki, M.K. Pandey, & B.D. Malhotra. (2006). Cholesterol biosensor based on cholesterol esterase, cholesterol oxidase and peroxidase immobilized onto conducting polyaniline films. Sensors and Actuators B: Chemical, 115(1), 534–541. Citations: 257

  3. S. Singh, N. Kumar, M. Kumar, A. Agarwal, & B. Mizaikoff. (2017). Electrochemical sensing and remediation of 4-nitrophenol using bio-synthesized copper oxide nanoparticles. Chemical Engineering Journal, 313, 283–292. Citations: 196

  4. S. Singh, A. Chaubey, & B.D. Malhotra. (2004). Amperometric cholesterol biosensor based on immobilized cholesterol esterase and cholesterol oxidase on conducting polypyrrole films. Analytica Chimica Acta, 502(2), 229–234. Citations: 190

  5. S.K. Tuteja, R. Chen, M. Kukkar, C.K. Song, R. Mutreja, S. Singh, & A.K. Paul. (2016). A label-free electrochemical immunosensor for the detection of cardiac marker using graphene quantum dots (GQDs). Biosensors and Bioelectronics, 86, 548–556. Citations: 176

  6. S. Singh, P.R. Solanki, M.K. Pandey, & B.D. Malhotra. (2006). Covalent immobilization of cholesterol esterase and cholesterol oxidase on polyaniline films for application to cholesterol biosensor. Analytica Chimica Acta, 568(1-2), 126–132. Citations: 154

  7. R. Rani, A. Deep, B. Mizaikoff, & S. Singh. (2019). Enhanced hydrothermal stability of Cu MOF by post synthetic modification with amino acids. Vacuum, 164, 449–457. Citations: 126

Assist. Prof. Dr. Zoi Lada | Thermal Sensing | Excellence in Research Award

Posted on by Global Sensor Awards

Assist. Prof. Dr. Zoi Lada | Thermal Sensing | Excellence in Research Award 

Assist. Prof. Dr. Zoi Lada | Thermal Sensing | Department of Chemistry, University of Patras | Greece

Assist. Prof. Dr. Zoi Lada is an accomplished Assistant Professor in the Department of Chemistry at the University of Patras, with extensive international research experience as a Visiting Researcher at University College Dublin, Queen’s University Belfast, and Florida State University. She earned her Ph.D. from FORTH/ICE-HT and the Department of Chemistry, University of Patras, focusing on the development and study of materials with smart properties for potential applications in food packaging. She holds an MSc in Analytical Chemistry and Nanotechnology and a BSc in Chemistry from the University of Patras. Zoi G. Lada has previously held post-doctoral fellow positions at the Institute of Chemical Engineering Sciences, Foundation for Research and Technology (ICE-HT/FORTH), Greece, and University College Dublin, and she served as an Adjunct Professor delivering courses in Organometallic Chemistry, Bioinorganic Chemistry, and Science Education. Her research interests include the development and physicochemical characterization of advanced inorganic materials, spin crossover (SCO) compounds, multifunctional frameworks, metal-organic frameworks (MOFs) for environmental sensing and contaminant removal, gas separation, and CO2 deposition. She also applies Raman spectroscopy and Surface-Enhanced Raman Scattering (SERS) to study molecular interactions and phase transitions while addressing risk assessment. Zoi G. Lada has participated in over 13 EU and national R&D projects, serves as Co-WP leader of the Horizon Project SCENARIOS at ICEHT/FORTH, and has led an “Ideas Incubator” research project funded by the Innovative Entrepreneurship Observatory of the Region of Crete. She is a member of COST Actions EU4MOFs and MOLSPIN and has contributed to research leadership as a reviewer and editorial board member for multiple scientific journals, including Magnetochemistry, Symmetry, and Frontiers in Chemistry, where she also serves as Guest Editor for special issues. Her scholarly output includes 38 peer-reviewed articles (7 as corresponding author), 44 conference abstracts.

Professional Profiles: Google Scholar  

Selected Publications 

  1. CA Aggelopoulos, S. Meropoulis, M. Hatzisymeon, Z. G. Lada, & G. Rassias. (2020). Degradation of antibiotic enrofloxacin in water by gas-liquid nsp-DBD plasma: Parametric analysis, effect of H2O2 and CaO2 additives and exploration of degradation mechanisms. Chemical Engineering Journal, 398, 125622. Citations: 146

  2. CD Polyzou, ES Koumousi, Z. G. Lada, CP Raptopoulou, V. Psycharis, … (2017). “Switching on” the single-molecule magnet properties within a series of dinuclear cobalt (III)–dysprosium (III) 2-pyridyloximate complexes. Dalton Transactions, 46(43), 14812–14825. Citations: 51

  3. M. Makrygianni, Z. G. Lada, A. Manousou, CA Aggelopoulos, V. Deimede. (2019). Removal of anionic dyes from aqueous solution by novel pyrrolidinium-based Polymeric Ionic Liquid (PIL) as adsorbent: Investigation of the adsorption kinetics, equilibrium. Journal of Environmental Chemical Engineering, 7(3), 103163. Citations: 44

  4. Z. G. Lada, Y. Sanakis, CP Raptopoulou, V. Psycharis, SP Perlepes, … (2017). Probing the electronic structure of a copper (II) complex by CW-and pulse-EPR spectroscopy. Dalton Transactions, 46(26), 8458–8475. Citations: 23

  5. Z. G. Lada, AS Beobide, A. Savvidou, CP Raptopoulou, V. Psycharis, … (2017). A unique copper (II)-assisted transformation of acetylacetone dioxime in acetone that leads to one-dimensional, quinoxaline-bridged coordination polymers. Dalton Transactions, 46(1), 260–274. Citations: 22

  6. Z. G. Lada, KS Andrikopoulos, A. Chrissanthopoulos, SP Perlepes, … (2019). A known iron (II) complex in different nanosized particles: Variable-temperature Raman study of its spin-crossover behavior. Inorganic Chemistry, 58(8), 5183–5195. Citations: 20

  7. Z. G. Lada. (2022). The investigation of spin-crossover systems by Raman spectroscopy: A review. Magnetochemistry, 8(9), 108. Citations: 16

Mr. Suresha R | Computer Vision Awards | Excellence in Research Award

Posted on by Global Sensor Awards

Mr. Suresha R | Computer Vision Awards | Excellence in Research Award 

Mr. Suresha R | Computer Vision Awards | Amrita Vishwa Vidyapeetham | India

Mr. Suresha R. is a results-driven educator and technologist with over six years of combined experience in teaching computer science and academic leadership. He holds an M.Sc. in Computer Science and has qualified in UGC-NET and K-SET, while currently pursuing a Ph.D. Mr. Suresha R. has demonstrated expertise in curriculum design and research, particularly focusing on AI in autonomous solutions and computer vision applications. In his professional career, Mr. Suresha R. has served as an Assistant Professor at Amrita Vishwa Vidyapeetham, School of Computing, Mysuru Campus, and at SBRR Mahajana First Grade College, Mysuru, where he delivered advanced courses in Computer Vision, Digital Image Processing, Pattern Recognition, Computational Intelligence, Computer Graphics, Machine Learning, Exploratory Data Analysis, R Programming, Information Retrieval, Data Mining, Numerical Analysis, and Operations Research, consistently achieving high student satisfaction. His research interests encompass small traffic sign detection and recognition in challenging scenarios using computer vision and LiDAR-based techniques with ROS2 framework, deep learning-based vehicle detection and distance estimation for autonomous systems, motion blur image restoration, wild animal recognition through vocal analysis, and SVM-based medical image classification. Mr. Suresha . possesses strong research skills in Python, MATLAB, ROS2, machine learning, deep learning, image processing, and data analysis. He has successfully guided Bachelor’s and Master’s students in research projects, fostering innovation and academic growth. His academic contributions are recognized through multiple publications in prestigious journals and conferences, including IEEE Access, Procedia Computer Science, ICCCNT, CCEM, ICECAA, and INDIACom. Mr. Suresha . has a proven record of collaborating in interdisciplinary teams, effectively communicating complex technical concepts, and mentoring students to achieve excellence in research and practical applications. His dedication to lifelong learning and active engagement in both teaching and research demonstrates his commitment to advancing knowledge in computer science and autonomous systems. Throughout his career, Suresha  has received awards and recognitions for research excellence, contributing to the development of sustainable and intelligent solutions in the field of computer vision and AI. Overall, Mr. Suresha exemplifies a passionate and innovative professional, bridging theoretical foundations with applied research, and continues to make significant contributions to academia and technology

Professional Profiles: ORCID

Selected Publications 

  1. Suresha, R., Manohar, N., Ajay Kumar, G., & Singh, R. (2024). Recent advancement in small traffic sign detection: Approaches and dataset.

  2. Suresha, R., Manohar, N., & Jipeng, T. (2024). Two-stage traffic sign classification system.

  3. Sudharshan Duth, P., Manohar, N., Suresha, R., Priyanka, M., & Jipeng, T. (2024). Wild animal recognition: A vocal analysis.

  4. Suresha, R., Jayanth, R., & Shriharikoushik, M. A. (2023). Computer vision approach for motion blur image restoration system.

  5. Srinivasa, C., Suresha, R., Manohar, N., Dharun, G. K., Sheela, T., & Jipeng, T. (2023). Deep learning-based techniques for precise vehicle detection and distance estimation in autonomous systems.

  6. Suresha, R., Devika, K. M., & Prabhu, A. (2022). Support vector machine classifier based lung cancer recognition: A fusion approach.

Ms. Priyanka Manchegowda | Computer Vision | Women Researcher Award

Posted on by Global Sensor Awards

Ms. Priyanka Manchegowda | Computer Vision | Women Researcher Award

Ms. Priyanka Manchegowda | Computer Vision | Amrita Vishwa Vidyapeetham | India

Ms. Priyanka Manchegowda is a results-driven Assistant Professor and researcher, currently pursuing her Ph.D., with over 12 years of combined experience in teaching computer science, academic leadership, and curriculum development. She holds an M.Sc. in Computer Science from Pooja Bhagavat Memorial Mahajana Post Graduate Centre, affiliated with the University of Mysore, Mysuru, India, and has actively contributed to higher education by delivering advanced courses in Exploratory Data Analysis using Python, Digital Image Processing, Design and Analysis of Algorithms, Data Structures, Problem Solving and Programming, Operations Research, Numerical Analysis, Statistical Techniques, Programming in C/C++, and Database Management Systems, consistently achieving strong student satisfaction. Professionally, she has served as an Assistant Professor at SBRR Mahajana First Grade College, Mysuru, from 2013 to 2020, and currently at Amrita Vishwa Vidyapeetham, School of Computing, Mysuru Campus since 2020, where she also contributes as a member of the Board of Studies and has developed curricula in alignment with university standards. In addition to teaching, she has guided Bachelor’s and Master’s students on research projects, focusing her research on computer vision-based human age estimation tailored for Indian medico-legal scenarios, demonstrating expertise in analytical methods, quantitative aptitude, image processing, and programming with Python, C, and C++, alongside database management using MS SQL Server and tools such as MATLAB and Anaconda. Ms. Manchegowda has actively contributed to institutional initiatives and student development, serving as the SWAYAM MOOC Nodal Officer, and as convener for the Rotaract Club and SARANTHA, while also engaging in faculty evaluations for the Internal Quality Assurance Cell (IQAC). She brings strong leadership, teamwork, administrative, and communication skills, alongside a commitment to lifelong learning and academic engagement. Her professional recognition includes citations in Scopus with an h-index reflecting the impact of her scholarly contributions.

Professional Profiles: ORCID | Scopus

Selected Publications

  • Priyanka, M., Divyashree, M., & Madhu, V. (2022). Computer Vision-Based Approach for Estimating Age and Gender using Wrist X-Ray Images.

  • Priyanka, M., Sreekumar, S., & Arsh, S. (2022). Detection of Covid-19 from the Chest X-Ray Images: A Comparison Study between CNN and Resnet-50.

Prof. Zhang Wenli | Computer Vision | Excellence in Research Award

Posted on by Global Sensor Awards

Prof. Zhang Wenli | Computer Vision | Excellence in Research Award 

Prof. Zhang Wenli | Computer Vision | Beijing University of Technology | China

Dr. Wenli Zhang is a distinguished scholar and innovative technology leader currently serving as a Professor in the Faculty of Information Technology at Beijing University of Technology, recognized for impactful contributions in signal and information processing, artificial intelligence, computer vision, 3D point cloud processing, unmanned aerial vehicle inspection technology, and brain-computer interfaces, positioning Dr. Wenli Zhang as a key figure advancing intelligent sensing and human-machine interaction research in China and globally. Building a strong academic foundation through advanced studies in computer science and informatics in both China and Japan, Dr. Wenli Zhang earned a Ph.D. in Engineering from the University of Tokyo, where a passion for applied research and innovation in intelligent systems was further strengthened. Prior to joining academia in China, Dr. Wenli Zhang developed extensive industrial innovation experience as Chief Researcher at Panasonic Corporation’s Tokyo Research Institute, driving real-world AI and vision-based solutions for next-generation automated applications. In her current role, Dr. Wenli Zhang leads interdisciplinary research that spans multiple sectors including smart agriculture, UAV-based intelligent inspection, and medical rehabilitation, effectively bridging fundamental theories with emerging societal needs and technological transformation. With strong collaboration networks and a commitment to promoting scientific excellence, Dr. Wenli Zhang serves actively in influential professional roles, including council member of the Beijing Interdisciplinary Science Society and committee member of the Innovation Engineering Branch of China Creative Studies Institute, contributing leadership within China’s innovation and engineering communities. Skilled in advanced algorithm development, intelligent visual perception, sensor network data fusion, and neural signal decoding, Dr. Wenli Zhang empowers her research team to develop practical systems that enhance automation, sustainability, and accessibility across industries. Her exceptional commitment to teaching and mentorship has earned her the prestigious “Distinguished Teacher” recognition at Beijing University of Technology, reflecting her dual dedication to academic excellence and student success.

Professional Profiles: ORCID  

Selected Publications:

  • Jiang, K., Guo, W., & Zhang, W. (2025). Amodal Segmentation and Trait Extraction of On-Branch Soybean Pods with a Synthetic Dual-Mask Dataset. Sensors.

  • Zhang, W., Peng, X., Bai, T., Wang, H., Takata, D., & Guo, W. (2024). A UAV-Based Single-Lens Stereoscopic Photography Method for Phenotyping the Architecture Traits of Orchard Trees. Remote Sensing.

  • Zhang, W., Peng, X., Cui, G., Wang, H., Takata, D., & Guo, W. (2023). Tree Branch Skeleton Extraction from Drone-Based Photogrammetric Point Cloud. Drones.

  • Li, Y., Liu, B., & Zhang, W. (2024). Driving-Related Cognitive Abilities Prediction Based on Transformer’s Multimodal Fusion Framework. Sensors.

  • Pang, G., Liu, B., & Zhang, W. (2025). Cloud Rehabilitation System Based on Automatic sEMG Signal Processing. Book Chapter.

  • Zhai, R., Gao, Y., Li, G., Ding, Q., Zhang, Y., & Zhang, W. (2025). Control System for Rehabilitation Bionic Hand Based on Precise Control Algorithms.

  • Wang, Y., Pang, G., Liu, B., Li, Y., & Zhang, W. (2025). Gesture Recognition Method Based on Hybrid Classifier Under Non-ideal Conditions.

Mr. Sajjad Naseri | Climate Sensor | Excellence in Research Award

Posted on by Global Sensor Awards

Mr. Sajjad Naseri | Climate Sensor | Excellence in Research Award 

Mr. Sajjad Naseri | Climate Sensor | Ball State University | United States

Mr. Sajjad Naseri is a highly motivated multidisciplinary professional with a strong background in architecture, urban design, and sustainable regional planning, currently advancing expertise as a Graduate Assistant at Ball State University in the United States, where Mr. Sajjad Naseri actively contributes to research focused on LEED-certified and sustainability-driven building environments while supporting faculty and student learning to enhance academic delivery and research outcomes, including contributions to multiple journal publications and conference papers that foster deeper understanding of sustainable development. With foundational experience as an Urban Planning Intern in the United States, Mr. Sajjad Naseri collaborated closely with planning teams to integrate environmentally conscious design strategies into infrastructure improvements, engaging communities through public meetings and refining sustainable safety action plans for several counties, reinforcing a commitment to public engagement and safe urban growth. Previously, Mr. Sajjad Naseri served as an Architectural Designer in Italy and contributed significantly to client expansion and approval success for residential projects through advanced rendering, modeling, and architectural visualization, demonstrating the ability to balance design creativity with functional, user-centered solutions, while earlier professional involvement as an Architectural Designer in an innovative consultancy enhanced construction supervision skills and expanded contributions to building design project growth. Academically, Mr. Sajjad Naseri is pursuing dual Master’s degrees in Urban and Regional Planning and Urban Design at Ball State University, following successful completion of a Master of Building Processes and Systems from Bologna University and an Erasmus study experience in Architecture at Brandenburg University of Technology, supported by a Bachelor of Architecture at Mohaghegh University, establishing a solid educational foundation in both theoretical and practical aspects of built-environment transformation. Skilled in Revit, SketchUp, AutoCAD, Enscape, Lumion, Adobe Creative Suite, laser scanning, Matterport, Microsoft Office applications, and emerging AI-powered generative design tools including ChatGPT, MidJourney, DALL·E, lumalabs, TestFit, PlanFinder, and Veras, Mr. Sajjad Naseri combines digital design strengths with forward-thinking planning strategies. Fluent in Azerbaijani, Turkish, Persian, and English, with working knowledge of German and Italian, Mr. Sajjad Naseri excels in multicultural environments. Recognized with notable scholarships, a second-best student distinction, and a top design competition award, Mr. Sajjad Naseri is driven to advance smart, sustainable, and human-centered urban development, dedicated to shaping resilient cities and contributing meaningfully to global architectural and planning innovation.

Professional Profiles: Google Scholar

Selected Publications

  • Naseri, S. (2025). Artificial Intelligence Impacts on Architecture and Smart Built Environments: A Comprehensive Review. Advances in Civil Engineering, (2)1. Citations: 15

  • Ghorashi, S. M., Ezzatfar, M., Hatami, R., Bagheri, A., Naseri, S. & Najafabadi, R. N. (2024). The role of subcultures in creating new social issues (with an emphasis on the context of old and new neighborhoods in Tafresh): Qualitative analysis. Current Opinion, (4)3, 679–696. Citations: 14

  • Naseri, S., Eshraghi, S. & Talebian, S. (2024). Innovative sustainable architecture a lesson learned from amphibious house in the UK. Current Opinion, (4)4, 766–777. Citations: 10

  • Naseri, S. (2024). AI in Architecture and Urban Design and Planning: Case studies on three AI applications. GSC Advanced Research and Reviews. Citations: 8

  • Najafabadi, R. N., Avar, S., Karimi, M., Anbari, M. & Naseri, S. (2024). Ecological restoration of historical monuments (With a Focus on the Restoration of Chogha Zanbil). World Journal of Advanced Research and Reviews, 23(02), 240–250. Citations: 8

  • Goodarzi, M., Naseri, S. & Tafazzoli, M. (2025). Beyond the Green Label: How LEED Certification Levels Shape Guest Satisfaction in U.S. Hotels? Buildings. Citations: 3

  • Goodarzi, M., Naseri, S., Garshasby, M. & Tafazzoli, M. (2025). A Data-Driven Study of Regional Priority Credits and Their Impact on LEED Certification in Multifamily Residential Projects. (Journal unspecified). Citations: 2

Mr. Xiangxue Chen | Computer Vision Award | Best Researcher Award

Posted on by Global Sensor Awards

Mr. Xiangxue Chen | Computer Vision Award | Best Researcher Award

Mr. Xiangxue Chen | Computer Vision Award | Jinan University | China

Mr. Xiangxue Chen is a motivated and academically accomplished postgraduate student currently pursuing a Master’s degree in Agricultural Engineering and Information Technology at Gansu Agricultural University, College of Information Science and Technology, building on previous undergraduate training in Network Engineering at Jinan University Quancheng College. With strong enthusiasm for the integration of artificial intelligence into modern agriculture, the research interests of Xiangxue Chen focus on Deep Learning, Smart Agriculture, and Agricultural Informatization, particularly on intelligent livestock measurement and management. During the Master’s program, Xiangxue Chen led impactful research on automatic cattle body size measurement based on deep learning, contributing to livestock breeding efficiency and smart farming systems. The technical approach included designing lightweight keypoint detection models using frameworks like YOLOv8-pose, automatically identifying cattle and predicting anatomical keypoints, followed by measurement transformation through Euclidean estimation and relevant calibration parameters to provide real-world body dimension results. A dedicated dataset was independently developed by visiting and acquiring cattle images at the National Jinnan Cattle Genetic Resource Gene Conservation Center in Yuncheng, Shanxi Province, demonstrating initiative in data collection and preprocessing. Xiangxue Chen has authored multiple impactful academic publications, including one SCI paper in the journal Symmetry as first author and two additional first- and co-authored papers in Peking University Core & CSCD-C journals such as the Journal of Nanjing Agricultural University and Journal of South China Agricultural University, as well as a first-author software copyright titled Automatic Cattle Body Measurement System Based on Improved YOLOv8-pose. Throughout graduate studies, excellence has been recognized by receiving the Postgraduate Academic Scholarship twice (October 2023 and October 2024). In terms of professional skills, Xiangxue Chen is proficient in PyTorch for deep-learning tasks including detection, segmentation, pose estimation, and classification, while also being skilled in Python, C#, Java, HTML, and research tools such as Origin, Visio, MathType, and Zotero. Additionally, Xiangxue Chen holds certifications in Web Front-End Development (Primary Level) and as an Artificial Intelligence Trainer (Advanced Level). Overall, Xiangxue Chen stands out as a talented young researcher dedicated to advancing agricultural digitalization and intelligent livestock system innovation, contributing meaningful scholarly achievements with great potential for future development in smart agriculture technology.

Professional Profiles: ORCID

Selected Publications

  • Chen, X., Guo, X., Li, Y., & Liu, C. (2025). A Lightweight Automatic Cattle Body Measurement Method Based on Keypoint Detection. Symmetry.

Dr. Spyridon Kosionis | Quantum Dot | Research Excellence Award

Posted on by Global Sensor Awards

Dr. Spyridon Kosionis | Quantum Dot | Research Excellence Award 

Dr. Spyridon Kosionis | Quantum Dot | University of Patras | Greece

Spyridon G. Kosionis is an accomplished physicist and researcher in the fields of quantum photonics, nonlinear optics, and theoretical plasmonics. His career reflects a strong commitment to advancing scientific understanding of optical phenomena in quantum and nanostructured materials. He has actively contributed to both academic research and scientific training, with experience spanning university-level laboratory instruction, postdoctoral scientific work in international research centers, and computational modeling projects in advanced physics. His dedication to scientific excellence has been recognized through prestigious honors that highlight his impactful contributions to nanotechnology and photonics. As a scientist who successfully integrates theoretical physics with emerging material technologies, he serves as a strong role model for the modern research community.

Professional Profile

Google Scholar

Summary of Suitability for Research Excellence Award

Dr. Spyridon G. Kosionis is a highly accomplished researcher in Physics with a strong specialization in Quantum Nonlinear Optics, Photonics, and Theoretical Plasmonics. He has demonstrated consistent academic excellence throughout his education, completing his PhD, MSc., and BSc. degrees with top honors at the University of Patras. His early recognition as the highest-ranked student in his cohort reflects his strong scientific foundations and commitment to academic distinction.

Education

He has built an exceptional academic foundation in physics with continuous excellence throughout his career. He completed his Bachelor’s studies in Physics with top rankings and recognition for outstanding academic performance. Driven by a passion for advanced photonics, he pursued a Master of Science in Photonics and Laser Physics, achieving an exceptional final grade and conducting research on quantum control in semiconductor nanostructures. His academic journey culminated in a Ph.D. in Physics with specialization in Quantum Nonlinear Optics. His doctoral work focused on nonlinear optical processes in semiconductor quantum wells, supervised by distinguished experts in the field. Throughout his education, his research contributions consistently demonstrated high theoretical rigor, innovation, and practical applicability to emerging quantum technologies.

Professional Experience

His professional experience reflects a balanced blend of teaching, research leadership, and international scientific collaboration. He has served as a key instructor in physics and materials science laboratories, where he mentors undergraduate and graduate students, designs modern experimental curricula, and supports the integration of computational physics in education. His selection as representative in academic committees underscores his leadership in university governance and strategic planning. His research career includes focused postdoctoral work at a renowned European photonics institute, where he explored plasmonic structures and their optical properties under the guidance of leading scientists. Alongside his university research roles, he has contributed to national scientific projects addressing quantum computation and nanostructured material behavior, showcasing his strong capabilities in theoretical exploration and computational modeling.

Research Interest

His research specialization lies at the intersection of quantum optics, nanotechnology, and computational photonics. He investigates nonlinear optical effects in nanomaterials, quantum wells, and quantum dots, contributing to advancements relevant to quantum communication, laser technology, and optical signal processing. His interest extends to theoretical plasmonics, where he studies light–matter interactions occurring at subwavelength scales, a key direction shaping future photonic devices. He continues to focus on quantum system control, dynamics of excitations in semiconductor structures, and photonic functionalities with potential impacts across sensing, information technology, and nanoscale materials engineering.

Award

He has been honored with an international research award in nanotechnology, recognizing his outstanding contributions to quantum photonics research and scientific excellence.

Publication Top Notes

1. Optical response of a quantum dot–metal nanoparticle hybrid interacting with a weak probe field
Authors: SG Kosionis, AF Terzis, SM Sadeghi, E Paspalakis
Year: 2012
Cited by: 112

2. Strongly modified four-wave mixing in a coupled semiconductor quantum dot–metal nanoparticle system
Authors: E Paspalakis, S Evangelou, SG Kosionis, AF Terzis
Year: 2014
Cited by: 105

3. Nonlinear optical susceptibilities of semiconductor quantum dot–metal nanoparticle hybrids
Authors: AF Terzis, SG Kosionis, J Boviatsis, E Paspalakis
Year: 2016
Cited by: 91

4. Nonlocal effects in energy absorption of coupled quantum dot–metal nanoparticle systems
Authors: SG Kosionis, AF Terzis, V Yannopapas, E Paspalakis
Year: 2012
Cited by: 78

5. Optimal control of a symmetric double quantum-dot nanostructure: analytical results
Authors: SG Kosionis, AF Terzis, E Paspalakis
Year: 2007
Cited by: 50

6. Control of self-Kerr nonlinearity in a driven coupled semiconductor quantum dot–metal nanoparticle structure
Authors: SG Kosionis, E Paspalakis
Year: 2019
Cited by: 38

7. Pump-probe optical response of semiconductor quantum dot–metal nanoparticle hybrids
Authors: SG Kosionis, E Paspalakis
Year: 2018
Cited by: 37

8. Intrinsic optical bistability in a two-subband system in a semiconductor quantum well: analytical results
Authors: SG Kosionis, AF Terzis, C Simserides, E Paspalakis
Year: 2011
Cited by: 26

Ms. Sara Qwaider | Sustainable | Women Researcher Award

Posted on by Global Sensor Awards

Ms. Sara Qwaider | Sustainable | Women Researcher Award 

Ms. Sara Qwaider | Sustainable | King Fahd University of Petroleum and Minerals | Saudi Arabia

Ms. Sara Qwaider is an accomplished urbanist, architect, and sustainable city design researcher with a strong academic foundation and research-driven professional journey focused on creating innovative, people-centered, and environmentally responsible urban environments. She holds a Master of Science in Architecture from King Fahd University of Petroleum and Minerals and a Bachelor of Architecture from Girne American University, where she developed an excellent command of design theories, technical expertise, and scientific methodology. Throughout her professional experience as a Research and Teaching Assistant in the Department of Architecture & City Design, a site manager assistant, a landscape design trainee, and a site engineer assistant, she demonstrated exceptional leadership qualities, team collaboration, design proficiency, and the ability to effectively manage multidisciplinary projects aligned with sustainability goals and Saudi Vision 2030. Her research interests include smart communities, GIS-based urban analytics, social sustainability, vernacular architecture, human behavior in public spaces, and the development of green frameworks that improve quality of life in rapidly growing cities. Ms. Sara Qwaider has contributed to prominent research initiatives such as smart campus development frameworks, green rating systems tailored to regional contexts, logistics urban parks, and social life cycle assessment adaptation to Saudi needs, reflecting her commitment to bridging design, data science, and sustainable development. She excels in research skills including architectural design analysis, urban data interpretation, project-based problem-solving, and the use of advanced digital technologies, supported by strong proficiency in AutoCAD, ArchiCAD, Twinmotion, Lumion, Photoshop, SketchUp, JASP, and Microsoft Office. She has been recognized with multiple honors including first-place wins in smart campus innovation and university research exhibitions, demonstrating her creativity and academic excellence. Her strengths lie in applying sustainability-focused design principles to real-world challenges, mentoring students, and presenting research in competitive academic environments. Areas for continued improvement include expanding international partnerships and increasing her publication volume in high-impact indexed journals to further elevate her research visibility.

Professional Profiles: ORCID

Selected Publications 

  1. Qwaider, S. (2024). GIS-based progress monitoring of SDGs toward achieving smart Saudi cities. 5 citations.

Mr. Xingwang Bian | Traveling Wave | Sensing Technology Award

Posted on by Global Sensor Awards

Mr. Xingwang Bian | Traveling Wave | Sensing Technology Award

Mr. Xingwang Bian | Traveling Wave | Beijing Vacuum Electronics Research Institute | China

Mr. Xingwang Bian is a dedicated researcher specializing in vacuum electronics and terahertz (THz) device engineering whose educational background includes a Master’s degree in Telecommunication Engineering from Beijing Information Science and Technology University. In his professional experience at the National Key Laboratory of Science and Technology on Vacuum Electronics, Beijing Vacuum Electronics Research Institute, he has engaged in the design, modeling, and experimental validation of advanced G-band and THz vacuum electronic devices, including slow-wave structures, traveling-wave tubes, and high-power compact amplifiers that target radar, high-speed communication, and sensing applications. His research interests encompass THz vacuum electronic devices, high-frequency amplification, waveguide design, high-power amplification for radar/sensing, and integration of vacuum electronics with sensing/communication systems. His research skills include electromagnetic simulation, microwave circuit design, slow-wave structure optimization, waveguide fabrication, experimental testing of high-frequency devices, data analysis of microwave/THz performance metrics, and collaborative development within multi-author research teams. With 17 peer-reviewed documents indexed in Scopus, 155 total citations, an h-index of 4, and co-authorship with nearly 30 researchers worldwide, Mr Xingwang Bian has established a solid foundation in advanced research. While formal “awards and honors” have not yet been documented in public records, his publication record, citation impact, and contributions to frontier microwave and THz device research speak to his emerging recognition in the field. His future potential lies in expanding international collaborations, securing grant funding, leading independent research projects, and transitioning from co-author roles to principal investigator status — thereby enhancing leadership visibility and scientific influence globally.

Professional Profiles: ORCID | Scopus  

Selected Publications 

Bian, X. (2025). Design and Experiment of Modified Folded Waveguide Slow Wave Structure for 60-W G-Band Traveling Wave Tube. IEEE Microwave and Wireless Technology Letters. (Citations: 2)

Bian, X. (2024). A G-Band Pulsed Wave Traveling Wave Tube for THz Radar. [Journal name]. (Citations: 4)