Corina Birleanu | Engineering and Technology | Research Excellence Award

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Prof. Corina Birleanu | Engineering and Technology | Research Excellence Award 

Prof. Corina Birleanu | Engineering and Technology | Full Professor at Technical University of Cluj-Napoca | Hypothesis Achievement Award

Prof. Corina Birleanu is a distinguished University Professor and PhD Supervisor in Mechanical Engineering at the Technical University of Cluj-Napoca (UTCN), Romania, with an academic and professional career spanning more than three decades in teaching, research, and institutional leadership. Prof. Corina Birleanu earned her Mechanical Engineering degree in Machine Building Technology from the Polytechnic Institute of Cluj-Napoca in 1986 and completed her Doctor of Science between 1992 and 1998 at UTCN, specializing in advanced tribological research focused on the theoretical and experimental behavior of alumina-based ceramic tribosystems under contact pressure. Since joining UTCN as a teaching staff member in 1992, Prof. Corina Birleanu has progressed through all academic ranks, serving as Assistant Professor, Senior Lecturer, Associate Professor, and Professor, and has held numerous senior leadership roles including Chancellor of the University Senate, Vice Dean for Internationalization, Director of the Department of Mechanical Systems Engineering, Dean of the Faculty of Industrial Engineering, Robotics and Production Management, and currently Head of the Tribology Laboratory and coordinator of the Machine Elements and Tribology research group.

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Featured Publications

Tribological Performance of SAE 10W-40 Engine Oil Enhanced with Thermally Treated TiO₂ Nanoparticles
– Lubricants, 2025 
Leveraging Centralized Procurement for Digital Innovation in Higher Education: Institutional Capacity and Policy Gaps in Romania
– Administrative Sciences, 2025 
Basalt vs. Glass Fiber-Reinforced Polymers: A Statistical Comparison of Tribological Performance Under Dry Sliding Conditions
– Journal of Composites Science, 2025 
Tribomechanical Analysis and Performance Optimization of Sustainable Basalt Fiber Polymer Composites for Engineering Applications
– Technologies, 2025 
Comparative Study on Consumers’ Behavior Regarding Water Consumption Pattern
– Water (Switzerland), 2025 
Impact of CuSn10 Powder on Mechanical Properties and Tribological Performance of Novel Basalt Fiber-Reinforced Hybrid Composites
– Polymers, 2025 
The Effect of Fiber Weight Fraction on Tribological Behavior for Glass Fiber Reinforced Polymer
– Polymers, 2025 
Enhanced Tribological and Mechanical Properties of Copper-Modified Basalt-Reinforced Epoxy Composites
– Polymers, 2025
An Aluminum U-Shaped Electro-Thermally Actuated Microgripper: Simulation and Fabrication
– Conference Paper, 2025 

Alex Gautier Tsopgo | Engineering and Technology | Research Excellence Award

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Mr. Alex Gautier Tsopgo | Engineering and Technology | Research Excellence Award

Mr. Alex Gautier Tsopgo | Engineering and Technology | Research Excellence Award | PhD candidate | Northwest University | China

Mr. Alex Gautier Tsopgo is a Renewable Energy Engineer and emerging scholar whose work integrates advanced engineering, community-centered development, and policy innovation to accelerate sustainable electrification in Sub-Saharan Africa. Mr. Alex Gautier Tsopgo holds a Bachelor of Engineering in Renewable Energy from the University of Maroua (2012–2015), a Master of Engineering in Renewable Energy from the National Advanced School of Engineering, Cameroon (2015–2017), and is currently a PhD Researcher in Solar Thermal Energy Storage at Northwest University, China (2023–Present), where he is developing a comprehensive computational model for comparing and optimizing solar thermal energy storage systems to mitigate intermittency challenges in utility-scale renewable deployment. Professionally, Mr. Alex Gautier Tsopgo has accumulated over four years of hands-on experience delivering last-mile electrification solutions, notably serving as a Renewable Energy Engineer at Renewable Energy Innovators Cameroon, where he led the deployment of more than 237 kWp of distributed solar systems with 433 kWh of battery storage, electrifying over 500 households, powering micro-enterprises and social infrastructure, and achieving high system availability through community-based operations and maintenance frameworks. His work also contributed directly to Cameroon’s first mini-grid licensing framework, demonstrating his capacity to bridge technical design and regulatory advancement. Earlier, as an Energy Consultant for multiple municipalities, Mr. Alex Gautier Tsopgo conducted techno-economic feasibility studies for hydrokinetic systems and pioneered inclusive village savings models that mobilized over 300 members to finance productive energy assets, while his consulting roles with TAGUS Drone, ELYON Polytechnique, and ERECE SARL focused on optimizing grid-tied solar installations and conducting energy audits that reduced consumer costs. His research interests span solar thermal energy storage, multi-objective optimization, renewable energy systems modeling, mini-grid and off-grid electrification, and the socio-technical dynamics of energy access in emerging markets, supported by strong research skills in computational modeling, optimization frameworks, techno-economic analysis, and interdisciplinary systems design. Mr. Alex Gautier Tsopgo’s research skill set is complemented by technical competencies in PVSyst, HOMER, RETScreen, Aspen Plus, and project development methodologies, alongside demonstrated leadership through global youth ambassadorships, academic facilitation, and humanitarian engagement. His awards and recognitions include certifications from international institutions, leadership acknowledgments, and professional training in environmental and social impact assessment and public–private partnerships, collectively underscoring a career defined by technical rigor, ethical engagement, and scalable impact. In conclusion, Mr. Alex Gautier Tsopgo represents a new generation of renewable energy leaders whose integrated expertise positions him to contribute meaningfully to global energy transitions and sustainable development.

Profile:  ORCID

Featured Publications 

Tsopgo, A. G., Teng, H., Duan, Q., & Zheng, H. A. (2026). Probability-based multi-objective optimization framework for the selection of molten salts in thermal energy storage systems. Composites Part B: Engineering.

Ayse Tugba Yapici | Engineering and Technology | Best Research Article Award

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Ms. Ayse Tugba Yapici | Engineering and Technology | Best Research Article Award

Ms. Ayse Tugba Yapici | Engineering and Technology | Best Research Article Award | Doctoral Researcher | Kocaeli University | Turkey 

Ms. Ayse Tugba Yapici is an emerging scholar in electrical engineering whose research bridges intelligent energy systems, electric vehicles, and artificial intelligence–driven prediction technologies, reflecting her strong academic preparation and expanding scientific footprint. She earned her PhD in Electrical Engineering from Kocaeli University, where her doctoral studies centered on deep learning approaches for forecasting electric vehicle demand, charging behaviors, and integrated grid impacts. Prior to this, she completed her MSc in Electrical Engineering at Kocaeli University and her BSc in Electrical and Electronics Engineering at Bulent Ecevit University, progressively building a foundation in power electronics, system modeling, and smart energy infrastructures. Professionally, Ms. Ayse Tugba Yapici has gained significant experience as a doctoral researcher contributing to multiple academic studies involving EV charging station optimization, boosting converter analyses, AI-based prediction models, and data-driven approaches for regional transportation planning. Her research interests span electric vehicle technologies, charging station planning, induction heating systems, renewable energy integration, IoT-based intelligent mobility frameworks, and machine learning algorithms including LSTM, GRU, and MLR for performance forecasting. She possesses strong research skills in deep learning model development, Python-based simulation, DigSilent-based power system design, MATLAB/Simulink modeling, geographical data mapping, algorithm optimization, and statistical evaluation metrics such as R², MSE, MAE, and DTW. Her body of work includes multiple SCI and Scopus-indexed publications addressing EV growth prediction, secure IoT frameworks for autonomous taxis, and comparative analyses of deep learning methods for charging time estimation. Ms. Ayse Tugba Yapici has been recognized within academic circles for her contributions to advancing sustainable mobility solutions and has received commendations for her research productivity and multidisciplinary collaborations within Türkiye. Her work continues to support improved policy development, smarter grid integration, and future-ready electric mobility infrastructures. She remains actively involved in scholarly dissemination through conference participation, collaborative studies with engineering experts, and mentorship of junior researchers. Through her growing publication record, analytical expertise, and commitment to advancing intelligent transportation systems, Ms. Ayse Tugba Yapici demonstrates strong potential for continued impact in electrical engineering research, contributing to the broader goals of sustainable energy development, smart city transitions, and technology-driven societal advancement.

Profile: Scopus | ORCID

Featured Publications

  1. Yapici, A. T., Abut, N., & Erfidan, T. (2025). Comparing the effectiveness of deep learning approaches for charging time prediction in electric vehicles: Kocaeli example. Energies. Year: 2025

  2. Yapici, A. T., & Abut, N. (2025). Geleceğe yönelik elektrikli araç ve şarj istasyonu sayılarının LSTM ve GRU derin öğrenme yöntemleri kullanılarak tahmin edilmesi: Kocaeli ili örneği. Politeknik Dergisi. Year: 2025

  3. Yapici, A. T., Abut, N., & Yildirim, A. (2025). Future estimation of electric vehicles and charging stations: Analysis of Sakarya Province with LSTM, GRU and multiple linear regression approaches. Applied Sciences. Year: 2025

  4. Yapici, A. T., & Abut, N. (2025). An intelligent and secure IoT-based framework for predicting charging and travel duration in autonomous electric taxi systems. Applied Sciences. Year: 2025

  5. Yapici, A. T., & Abut, N. (2024). Elektrikli araç devresinde kullanılan boost dönüştürücünün analizine farklı yaklaşımlar. Black Sea Journal of Engineering and Science. Year: 2024

  6. Yapici, A. T., & Abut, N. (2024). Elektrikli araç şarj istasyonu konum tasarımında, DigSilent yazılımı kullanılarak Kocaeli Üniversitesi Umuttepe Kampüsü için örnek uygulama. Black Sea Journal of Engineering and Science. Year: 2024

  7. Yapici, A. T. (2024). Estimation of future number of electric vehicles and charging stations: Analysis of Sakarya Province with LSTM, GRU and MLR approaches. Applied Sciences. Year: 2024

 

Nimai Chand Chandra | Engineering and Technology | Best Researcher Award Professor & Dean | Shri Vishnu Engineering College for Women | India

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Prof. Nimai Chand Chandra | Engineering and Technology | Best Researcher Award

Prof. Nimai Chand Chandra | Engineering and Technology | Best Researcher Award | Professor & Dean | Shri Vishnu Engineering College for Women | India 

Prof. Nimai Chand Chandra is a dedicated academician and accomplished researcher recognized for his extensive contributions to engineering education, technological innovation, and applied research across emerging scientific domains. He has established a strong academic foundation through rigorous training and advanced education, enabling him to excel as a faculty leader and multidisciplinary scholar committed to societal advancement through research-driven solutions. His professional experience spans teaching, research guidance, institutional development, and active participation in collaborative projects, reflecting his long-standing commitment to academic excellence and knowledge dissemination. Throughout his career, Prof. Nimai Chand Chandra has engaged deeply in higher education leadership, curriculum development, and student mentorship while contributing to impactful research initiatives that address current global and industrial challenges. His research interests encompass machine learning applications, computational modelling, sustainable engineering solutions, intelligent systems, and data-driven optimization frameworks, all of which highlight his ability to integrate theoretical understanding with real-world applications. He has developed high-level research skills across algorithm development, experimental analysis, data interpretation, and interdisciplinary problem-solving, with strong proficiency in advanced computational tools and analytical techniques that support his innovative academic output. Prof. Nimai Chand Chandra has consistently published in reputable journals and conferences and is noted for his analytical rigor, clarity of research design, and commitment to scientific integrity. He has also contributed to various academic responsibilities, including organizing workshops, contributing to faculty development programs, and guiding student research projects that expand the intellectual environment of the institutions he serves. His awards and honors reflect his achievements in teaching innovation, research productivity, and academic leadership, acknowledging his sustained dedication to the progress of engineering and technology education. His professional strengths include strong teamwork, strategic planning, and the ability to foster collaborative research environments that accelerate knowledge exchange and innovation. As a respected academic, he maintains active involvement in scholarly communities and continues to support transformative research contributions that enhance institutional growth and societal impact. Overall, Prof. Nimai Chand Chandra stands out as a forward-thinking educator and researcher whose persistent efforts, academic achievements, leadership roles, and research excellence collectively demonstrate his valuable impact on the scientific community and reinforce his ongoing potential to contribute meaningfully to progressive research ecosystems at both national and global levels.

Profile: Scopus | ORCID | Google Scholar

Featured Publications 

  1. Chandra, N. C. (2025). Hybrid DRL-Enhanced ACO-WWO for Efficient Resource Allocation and Load-Balancing in Cloud Computing. International Journal of Computational Intelligence Systems.

  2. Chandra, N. C. (2025). A Flawless QoS Aware Task Offloading in IoT Driven Edge Computing System using Chebyshev Based Sand Cat Swarm Optimization. Journal of Grid Computing.

  3. Chandra, N. C. (2024). Decoding Human Facial Emotions: A Ranking Approach using Explainable AI. IEEE Access.

  4. Chandra, N. C. (2024). ProteinCNN-BLSTM: An Efficient Deep Neural Network for Protein Sequence Classification. Computational Intelligence.

  5. Chandra, N. C. (2024). AI-Driven Drowned-Detection System for Rapid Coastal Rescue Operations. Spatial Information Research.

  6. Chandra, N. C. (2024). A Precise Model for Skin Cancer Diagnosis using Hybrid U-Net and Improved MobileNet-V3. Scientific Reports.

  7. Chandra, N. C. (2023). A Novel Approach for Prediction of Gestational Diabetes based on Clinical Signs and Risk Factors. ICST Transactions on Scalable Information Systems.

 

Lin Hua | Engineering and Technology | Excellence in Innovation Award

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Assoc. Prof. Dr. Lin Hua | Engineering and Technology | Excellence in Innovation Award

Assoc. Prof. Dr. Lin Hua | Engineering and Technology | Deputy Director | School of Naval Architecture | China 

Assoc. Prof. Dr. Lin Hua is a distinguished scholar in the field of marine engineering and structural integrity research. Her work focuses on understanding and predicting the fatigue life of marine structures under corrosive environments. With a strong academic foundation and a commitment to advancing engineering safety, she has become a recognized name for her contributions to pitting corrosion analysis and continuum damage mechanics modeling. Her research aims to bridge the gap between theoretical modeling and industrial applications, thereby improving the design, maintenance, and operational reliability of marine structures.

Professional Profile 

Education

Assoc. Prof. Dr. Lin Hua earned her doctoral degree in structural engineering from a leading university, where she developed expertise in continuum damage mechanics, fatigue analysis, and advanced computational modeling. Her educational background is complemented by rigorous research training, participation in collaborative projects, and specialized courses in marine structural health monitoring. This academic preparation laid the foundation for her groundbreaking work in fatigue crack initiation life prediction and pit morphology quantification.

Experience

Assoc. Prof. Dr. Lin Hua currently serves as an Associate Professor and leads several research initiatives focused on marine structural reliability. She has successfully collaborated with global research institutes, shipbuilding companies, and offshore engineering organizations to develop practical methodologies that improve the safety and performance of critical structures. Her extensive teaching portfolio includes mentoring graduate students and supervising doctoral dissertations, helping nurture the next generation of researchers. In addition, she has served on technical committees, participated in peer-review processes for high-impact journals, and contributed to the organization of international symposia on marine engineering.

Research Interest

Her primary research interests include fatigue life assessment of marine structures, pitting corrosion modeling, structural health monitoring, and life extension strategies for offshore platforms. She integrates theoretical modeling with computational techniques to predict fatigue crack initiation life under complex environmental conditions. Her recent work explores pit morphology parameters—size, shape, irregularity, and spacing—and their effects on structural integrity. By developing reliable mapping models and efficient numerical approaches, she provides industry stakeholders with actionable solutions to reduce maintenance costs, improve safety, and optimize lifecycle management.

Award

Assoc. Prof. Dr. Lin Hua has been recognized for her innovative contributions through institutional and international awards in the field of structural engineering and marine research. Her achievements include excellence awards for research impact, commendations for collaborative projects, and invitations to serve as a reviewer and advisor for prestigious journals. These accolades underscore her role as a leading researcher committed to advancing knowledge and delivering real-world engineering solutions.

Selected Publication

  • “Theoretical Mapping Model for Pit Morphology Parameters and Fatigue Crack Initiation Life” (Published: 2023, Citations: 45)

  • “Continuum Damage Mechanics-Based Numerical Approach for Marine Structure Life Assessment” (Published: 2022, Citations: 39)

  • “Multi-Factor Quantification of Pit Morphology and Its Effect on Fatigue Life” (Published: 2022, Citations: 31)

  • “Rapid Fatigue Life Prediction of Offshore Structural Components under Corrosive Conditions” (Published: 2021, Citations: 28)

Conclusion

Assoc. Prof. Dr. Lin Hua stands out as a pioneering researcher whose work addresses critical challenges in marine engineering and structural health assessment. Her integration of theoretical modeling, computational techniques, and practical validation has advanced understanding of fatigue life under corrosive conditions, providing a framework for safer marine operations. With a proven record of impactful publications, international collaborations, and mentorship, she continues to shape the future of structural engineering. Her dedication to bridging academic research with industrial application makes her a highly deserving candidate for prestigious awards, and her future research promises to further strengthen global standards in marine structural integrity and safety.

 

Todor Todorov | Engineering and Technology | Best Researcher Award

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Todor Todorov | Engineering and Technology | Best Researcher Award

Todor Todorov, Technical University of Sofia, Bulgaria

Prof. Dr. Todor Todorov 🎓🔬 is a distinguished researcher and professor at the Technical University of Sofia, specializing in Microelectromechanical Systems (MEMS) and Mechanism and Machine Theory. 🏛️ He has served as Head of the Laboratory of MEMS and former Dean of the Faculty of Industrial Technology. His research focuses on electromechanical devices, energy harvesting, and smart materials. ⚙️📡 With a Ph.D. in Mechanism Synthesis and an MSc in Decision Support Systems, he has led multiple national and international projects. 📚🛠️ A prolific author and editorial board member, he significantly contributes to advanced engineering innovations. 🚀💡

Publication Profile

Orcid

Education

Prof. Dr. Todor Todorov 🎓🔧 is an esteemed mechanical engineer and researcher specializing in precision engineering, decision support systems, and microelectromechanical systems. He earned his Ph.D. from the Technical University of Sofia (1992-2001) and an M.Sc. in Decision Support Systems from the University of Sunderland (1993-1994). With a career spanning academia and research, he has held leadership roles, including Deputy Head of the Department of Theory of Mechanisms and Machines and Chairman of the General Assembly of the Faculty of Industrial Technology. 📚🛠️ A prolific editor and reviewer, he contributes to multiple international journals and MDPI publications. ✍️📖

Experience

Prof. Dr. Todor Todorov is a distinguished academic at the Technical University of Sofia 🇧🇬, specializing in Microelectromechanical Systems (MEMS) and Mechanism and Machine Theory ⚙️. Since 2022, he has led the Laboratory of MEMS, previously serving as Dean of the Faculty of Industrial Technology (2019-2022) 🏫. A professor since 2013, he has taught MEMS, Microtechnology, and Machine Theory 📚. His research spans mechanism synthesis, electromechanical devices, and nanoengineering 🔬. Earlier roles include Associate Professor (2002-2013), Head Assistant Professor (1999-2002), and Senior Assistant Professor (1988-1999). Notably, he also served as Mayor of Vladaya (1995-1999) 🏛️.

Research Focus

Prof. Dr. Todor Todorov’s research focuses on vibrational energy harvesting, microcantilever sensors, and shape memory alloy (SMA)-based actuators ⚙️🔬. His work explores self-excited thermomechanical oscillators 🔥 and bistable pumps 💧 using SMAs, enhancing energy efficiency and control in microdevices. He also investigates virus and pathogen detection 🦠 with dual-microcantilever sensors and the influence of Lorentz forces on sensor sensitivity ⚡. His interdisciplinary research integrates mechanical dynamics, thermoelectromechanical systems, and ultralow mass detection 🎯. With applications in energy harvesting, biomedical sensing, and microfluidics, his studies contribute to innovative sensing technologies and efficient actuator designs for advanced engineering solutions 🚀.

Publication Top Notes

Dynamics of a Self-Excited Vibrating Thermal Energy Harvester with Shape Memory Alloys and PVDF Cantilevers

Evaluation of the Influence of Lorentz Forces on the Natural Frequencies of a Dual-Microcantilever Sensor for Ultralow Mass Detection

Investigating a Detection Method for Viruses and Pathogens Using a Dual-Microcantilever Sensor

Study of Self-Excited Thermomechanical Oscillator with Shape Memory Alloys

Study of Self-Excited Thermomechanical Oscillator with Shape Memory Alloys

Synthesis of a Bistable Recuperative Pump Powered by Shape Memory Alloys and a Two-Section Involute Cam

Linear Interval Approximation of Sensor Characteristics with Inflection Points

A Study of a Bistable Reciprocating Piston Pump Driven by Shape Memory Alloys and Recuperative Springs

Sofiene Mansouri | Engineering and Technology | Best Researcher Award

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Sofiene Mansouri | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr Sofiene Mansouri, Prince Sattam Bin Abdelaziz University, Saudi Arabia

Assoc. Prof. Dr. Sofiene Mansouri is a distinguished academic in biomedical engineering and medical electronics. He holds a Ph.D. in Electronics, specializing in non-invasive cardiovascular diagnostics, and has expertise in medical devices, biosensors, and biomedical electronics. Currently an Associate Professor at Prince Sattam bin Abdulaziz University (PSAU) in Saudi Arabia, he leads the Scientific Research Unit. He has contributed to multiple research projects on breast cancer detection, smartwatches, and vital sign monitoring. With over 30 publications, Dr. Mansouri has co-supervised PhDs and won university awards for innovative student projects. 🧑‍🔬📚🩺💡

Publication Profile

Google Scholar

Education and Expertise 

Assoc. Prof. Dr. Sofiene Mansouri is an expert in Biomedical Engineering, holding a Habilitation Diploma, a Ph.D. in Electronics with a focus on Medical Electronics, and a Master’s in Biomedical Engineering. His research centers on non-invasive diagnostics, biosensors, and biomedical device design. He has made significant contributions to cardiovascular health and breast cancer detection, showcasing his dedication to advancing medical technologies. With a strong academic foundation and a passion for improving healthcare through innovation, Dr. Mansouri continues to push boundaries in medical electronics and biomedical engineering. 🩺💡🔬📡🎗

Professional Experience

Assoc. Prof. Dr. Sofiene Mansouri has over two decades of experience in academia, holding roles such as Associate Professor, Assistant Professor, and Research Unit Head. His leadership extends to administrative positions, including Vice-Director and Internship Director at ISTMT, as well as head of several academic departments. Dr. Mansouri’s impact goes beyond teaching and research—he founded and served as president of the Tunisian Association of Biomedical Engineering. His extensive contributions in academia, administration, and professional organizations highlight his exceptional expertise and dedication as both a researcher and educator. 🎓🔬📚👨‍🏫⚙️

Recognition and Funding 

Assoc. Prof. Dr. Sofiene Mansouri leads innovative research projects funded by the Deanship of Scientific Research at Prince Sattam bin Abdulaziz University. His work focuses on advanced diagnostic technologies, with notable projects such as breast cancer detection and blood pressure determination using photoplethysmography. These groundbreaking studies not only contribute to the scientific community but also play a vital role in enhancing public health. Dr. Mansouri’s dedication to medical advancements underscores his significant impact in healthcare, making vital strides toward improving diagnostic accuracy and patient care. 🧑‍🔬🔬💉🎗️

Research Focus

Assoc. Prof. Dr. Sofiene Mansouri’s research focuses on electrical bioimpedance techniques, including impedance cardiography and electrical impedance tomography, with applications in medical diagnostics. His work involves signal denoising methods and the development of innovative biosensors, such as CRISPR/Cas-based sensors for detecting mycotoxins. Dr. Mansouri is also exploring non-invasive approaches for detecting breast cancer and valvular heart diseases using bioimpedance. Additionally, his research delves into enhancing materials like chitosan films for biomedical applications and developing bacteria-imprinted polymers for pathogen detection. His contributions span biomedical engineering, biosensors, and bioimpedance technology. 🩺🔬💡🧬🫀

Publication Top Notes

Electrical Impedance tomography: Recent applications and developments

Impedance cardiography: recent applications and developments

Image distortion from zoom lenses: modeling and digital correction

Impedance cardiography signal denoising using discrete wavelet transform

CRISPR/Cas-based nanobiosensors: A reinforced approach for specific and sensitive recognition of mycotoxins

Breast Cancer Detection Using Low-Frequency Bioimpedance Device

Enhancement of mechanical properties of chitosan film by doping with sage extract-loaded niosomes

A review of new emerging biosensors based on bacteria-imprinted polymers towards pathogenic bacteria: Promising new tools for selective detection

Signal processing techniques applied to impedance cardiography ICG signals – a review

Dual-mode colorimetric and fluorescence biosensors for the detection of foodborne bacteria

Molecularly imprinted polymers for biosensing of hormones in food safety and biomedical analysis: Progress and perspectives

Non‐invasive Measurement of Blood Glucose by Breath Analysis