Kaveh Karami | Health Monitoring | Best Researcher Award

Published on by Network Awards

Assoc. Prof. Dr. Kaveh Karami | Health Monitoring | Best Researcher Award

Associate Professor at University of Kurdistan, Iran.

Dr. Kaveh Karami is an esteemed Associate Professor in the Department of Civil Engineering at the University of Kurdistan. His research is internationally recognized in the areas of Structural Dynamics, Structural Health Monitoring (SHM), System Identification, and Adaptive Structures. With over 260 citations and an h-index of 8, he has built a reputable academic profile in smart structural systems and nonlinear control. His innovative contributions span semi-active control, online system identification, wavelet analysis, and vision-based damage detection. Dr. Karami collaborates actively with international experts and serves as a key contributor to the advancement of intelligent infrastructure. His work integrates theoretical models with real-world structural systems, bridging academia and practical engineering solutions. As a prolific author, he continues to push the boundaries of resilient and adaptive civil infrastructure, combining digital technologies with structural engineering principles to ensure safety, sustainability, and smart performance in modern constructions.

Professional Profile

Scopus

Orcid

Google scholar

Education 

Dr. Kaveh Karami holds a strong academic foundation in civil and structural engineering. Although specific degree and institutional information is not detailed in the provided profile, his expertise clearly reflects advanced graduate-level research training and academic excellence in the fields of structural dynamics, smart materials, and control systems. His career progression into an Associate Professorship at the University of Kurdistan signals completion of a Ph.D. and significant postdoctoral contributions. Throughout his academic journey, Dr. Karami has specialized in adaptive structures, system identification, and semi-active control. His education likely emphasized mathematical modeling, computational engineering, and signal processing for structural applications. His consistent publication record and leadership in advanced research projects suggest not only technical mastery but also an educational background that combines strong theoretical knowledge with applied innovation, aligning with modern challenges in structural monitoring and seismic protection.

Professional Experience 

Dr. Karami currently serves as an Associate Professor in the Department of Civil Engineering at the University of Kurdistan. With a deep focus on structural control and health monitoring, he has played pivotal roles in academic research, mentoring graduate students, and leading interdisciplinary projects. His experience includes developing and applying advanced algorithms for damage detection, adaptive stiffness mechanisms, and subpixel motion estimation using vision-based technologies. He has published extensively in peer-reviewed journals, collaborated with national and international teams, and contributed to high-impact engineering conferences. Dr. Karami’s work addresses the integration of smart sensors, control theory, and structural mechanics to create intelligent, damage-resilient infrastructure. His professional trajectory demonstrates a balance of academic teaching, hands-on research, and project supervision, making him a leader in the next generation of civil infrastructure innovation.

Research Interest 

Dr. Karami’s research focuses on intelligent and adaptive civil engineering systems. His core areas include nonlinear structural control, semi-active tuned mass dampers, structural health monitoring (SHM), damage detection using wavelet and sparse component analysis, and vision-based motion tracking. A hallmark of his work is the integration of real-time system identification algorithms with smart materials and adaptive mechanisms to enhance the resilience of civil structures. He explores how technologies like digital image correlation, video-based modal analysis, and Markov parameter estimation can improve early detection of structural damage. His goal is to develop low-cost, high-accuracy, and scalable systems for infrastructure safety. Through extensive modeling, simulation, and experimental validation, Dr. Karami pushes the boundaries of how built environments respond to dynamic loads, seismic activity, and environmental degradation. His research directly contributes to smarter, safer, and more sustainable infrastructure systems worldwide.

Publications Top Noted

Nonlinear structural control using integrated DDA/ISMP and semi-active tuned mass damper
Authors: K. Karami, S. Manie, K. Ghafouri, S. Nagarajaiah
Cited by: 47
Year: 2019

Developing a Smart Structure Using Integrated Subspace-Based Damage Detection and Semi-Active Control
Authors: K. Karami, S. Akbarabadi
Cited by: 47
Year: 2016

On‐line system identification of structures using wavelet‐Hilbert transform and sparse component analysis
Authors: K. Karami, P. Fatehi, A. Yazdani
Cited by: 33
Year: 2020

Decreasing the damage in smart structures using integrated online DDA/ISMP and semi-active control
Authors: K. Karami, F. Amini
Cited by: 31
Year: 2012

Developing a semi-active adjustable stiffness device using integrated damage tracking and adaptive stiffness mechanism
Authors: S. Azizi, K. Karami, S. Nagarajaiah
Cited by: 29
Year: 2021

Damage detection algorithm based on identified system Markov parameters (DDA/ISMP) in building structures with limited sensors
Authors: F. Amini, K. Karami
Cited by: 20
Year: 2012

Capacity design by developed pole placement structural control
Authors: F. Amini, K. Karami
Cited by: 19
Year: 2011

Developing a smart structure using integrated DDA/ISMP and semi-active variable stiffness device
Authors: K. Karami, S. Nagarajaiah, F. Amini
Cited by: 14
Year: 2016

Conclusion 

Dr. Kaveh Karami is a highly accomplished academic and researcher whose innovative work in structural health monitoring, damage detection, and adaptive structural systems is advancing the state of civil engineering. His consistent publication in high-impact journals, deep technical expertise, and contributions to intelligent infrastructure mark him as an exceptional candidate for the Best Researcher Award.

With his solid foundation and forward-looking research trajectory, Dr. Karami is well-positioned to continue influencing both academic and engineering communities, globally and locally. Recognition through this award would be both timely and well-deserved.

Yan Cheng | Medical Technology | Women Researcher Award

Published on by Network Awards

Dr. Yan Cheng | Medical Technology | Women Researcher Award

Associate Professor at Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), China.

Dr. Yan Cheng is an Associate Researcher at the Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), China. She is a recognized expert in green extraction technologies and solvation thermodynamics for natural product chemistry. With a strong foundation in physical chemistry and over a decade of experience, Dr. Cheng has led national and provincial research projects and published in top-tier journals focusing on bioactive compound extraction using environmentally friendly solvents.

Professional Profile

Scopus

Education 

  • Ph.D. in Physical Chemistry, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China (2007–2010)
    Advisor: Academician Buxing Han

  • M.S. in Physical Chemistry, Qufu Normal University, China (2003–2006)
    Advisor: Prof. Jinmao You

  • B.S. in Chemical Engineering and Technology, Qufu Normal University, China (1999–2003)

  • Visiting Scholar, East Carolina University, USA (2019–2020)
    Advisor: Prof. Frank Yang

Professional Experience 

Dr. Cheng has served as an Associate Researcher at Qilu University of Technology’s Shandong Analysis and Test Center. Her work emphasizes the development and mechanism-based optimization of green solvent systems, such as deep eutectic and subcritical water/CO₂ mixtures. She has successfully led over six major funded research projects, including the Shandong Provincial Natural Science Foundation and the National Natural Science Foundation of China.

Research Interest 

  • Green and Subcritical Solvent Systems

  • Deep Eutectic Solvents for Natural Product Extraction

  • Solvation Thermodynamics and Kinetics

  • Herbal Medicine Phytochemistry

  • Supercritical/Ultrasonic-Assisted Extraction Technologies

  • Bioactive Compounds in Functional Foods

Publications Top Noted

1. A Novel Supramolecular Salt of Hypoxanthine with Maleic Acid as a Potential Weight-Loss Drug

  • Journal: International Journal of Molecular Sciences, 2025

  • Highlights: Explores the synthesis of a novel supramolecular salt of hypoxanthine and maleic acid, presenting its potential as a therapeutic compound in weight management.

2. Efficient Ultrasonic Extraction of Alkaloids and Glycosides from Camptotheca acuminata Decne via Deep Eutectic Solvents: Kinetics and Mechanisms

  • Journal: Separation and Purification Technology, 2025

  • Highlights: Investigates ultrasonic-assisted extraction using deep eutectic solvents (DESs), focusing on reaction kinetics and mechanistic insights into bioactive compound release.

  • Citations: 1

3. Effects of Deep Eutectic Solvent Systems on the Extraction of Antioxidant Components from Peanut (Arachis hypogaea L.) Hulls

  • Journal: LWT – Food Science and Technology, 2024

  • Highlights: Demonstrates the role of DES systems in enhancing the extraction efficiency of natural antioxidants from peanut hulls.

  • Open Access: Yes

4. Ultrasonic-Assisted Extraction of Flavonoids from Peanut Leaves and Stems Using Deep Eutectic Solvents and Its Molecular Mechanism

  • Journal: Food Chemistry, 2024

  • Highlights: A highly cited study detailing molecular-level interactions during ultrasonic-assisted extraction processes, identifying optimal DES formulations for flavonoid yield.

  • Citations: 49

  • Open Access: Yes

  • Impact Factor: 8.8 (Top Journal)

Conclusion 

Dr. Yan Cheng is a leading researcher in the field of green extraction technologies and physical chemistry, with an impressive portfolio of interdisciplinary research and peer-reviewed publications. Her scientific rigor, innovation in sustainable extraction systems, and commitment to knowledge transfer mark her as an emerging leader in chemical and pharmaceutical sciences. She is a highly meritorious candidate for recognition by the Global Network & Technology Excellence Awards, poised to make further contributions to sustainable chemical engineering and bioactive compound research on an international scale.

Paulo Eugênio da Costa Filho | Artificial Intelligence | Best Researcher Award

Published on by Network Awards

Mr. Paulo Eugênio da Costa Filho | Artificial Intelligence | Best Researcher Award

Researcher at Federal University of Rio Grande do Norte, Brazil

Paulo Eugênio da Costa Filho is a dedicated Brazilian researcher and educator in the field of Food Science and Technology, with a strong focus on Food Microbiology. He has played pivotal roles in advancing food safety and quality, particularly through microbiological analysis of food and food products. With over two decades of academic and scientific experience, he serves as a full professor at the Federal University of Ceará (UFC). Prof. Costa Filho is also recognized for his involvement in graduate education and leadership in various research projects and academic societies.

Profile

Education :

The academic journey of this accomplished scholar reflects a deep-rooted commitment to excellence in food science and engineering. They hold a Bachelor’s degree in Food Engineering from the Federal University of Ceará (1993), which laid a strong foundation in the principles of food processing and safety. Advancing their expertise, they pursued both a Master’s (1997) and a PhD (2003) in Food Science and Technology at the Federal University of Viçosa, where they honed their research skills and specialized knowledge in food systems. Their academic path culminated with a prestigious postdoctoral research tenure at Université Laval, Canada (2009), further enriching their global perspective and scholarly contributions to the field.

Experience :

Since 2016, the researcher has served as a Full Professor in the Department of Food Technology at the Federal University of Ceará (UFC), where they specialize in the Microbiology of Foods. In this capacity, they have played a pivotal role in shaping both academic and research directions within the field. As Coordinator of the Graduate Program in Food Science and Technology at UFC, they have demonstrated strong leadership in advancing graduate education, curriculum development, and research collaboration. Their international experience includes a valuable period as a Visiting Researcher at Université Laval in Canada, where they completed a postdoctoral fellowship, further enriching their expertise and fostering cross-border scientific exchange.

Awards and Recognitions :

Prof. Paulo Eugênio da Costa Filho is a CNPq Research Productivity Fellow – Level 1D, a prestigious recognition awarded to researchers with a consistent and influential scientific output in Brazil. This honor reflects his long-standing contributions to advancing food microbiology and food safety through innovative research and academic leadership. His impactful role in graduate education is equally distinguished; Prof. Costa Filho has been nationally recognized for his dedication to mentoring future scientists and for strengthening the graduate training infrastructure in Food Science and Technology across Brazil. His efforts have significantly influenced both academic excellence and professional development in the field.

Research Focus :

The researcher’s work in Food Microbiology is distinguished by a comprehensive and applied focus on critical areas impacting food safety and innovation. Their research emphasizes the study of pathogenic microorganisms in foods, addressing public health concerns through advanced microbiological quality control practices. They actively investigate antimicrobial compounds and bacterial biofilms, contributing to the understanding and mitigation of microbial resistance in food environments. A significant part of their work involves the development and validation of analytical methods for the precise detection and control of microorganisms, ensuring the reliability and safety of food systems. Additionally, they explore the functional properties of probiotic and antimicrobial food components, aiming to enhance the nutritional and protective qualities of food products. This multifaceted research approach reflects a strong commitment to advancing food microbiology through both scientific rigor and real-world application.

Research  Skills :

With extensive expertise in microbiological analysis of foods, this professional is deeply committed to advancing food safety and quality assurance through rigorous scientific approaches. Their work emphasizes the design of microbiological research methodologies tailored to emerging foodborne challenges and technological innovations. In addition to research, they play a pivotal role in graduate student mentorship and thesis supervision, nurturing the next generation of food scientists with a focus on critical thinking and applied microbiology. Their capacity for project coordination and academic leadership has consistently driven collaborative initiatives, strengthened interdisciplinary networks, and elevated the standards of both research output and educational excellence.

Pulication Top Notes : 

Internet of Smart Grid Things (IoSGT): Prototyping a Real Cloud-Edge Testbed

Authors: H. Santos, P. Eugênio, L. Marques, H. Oliveira, D. Rosário, E. Nogueira, et al.

Source: Anais do XIV Simpósio Brasileiro de Computação Ubíqua e Pervasiva

Citations: 7

Year: 2022

Predictive Fraud Detection: An Intelligent Method for Internet of Smart Grid Things Systems

Authors: L. Bastos, B. Martins, H. Santos, I. Medeiros, P. Eugênio, L. Marques, et al.

Source: Journal of Internet Services and Applications, Vol. 14(1), pp. 160–176

Citations: 5

Year: 2023

Analysis of Electrical Signals by Machine Learning for Classification of Individualized Electronics on the Internet of Smart Grid Things (IoSGT) Architecture

Authors: L. Marques, P. Eugênio, L. Bastos, H. Santos, D. Rosário, E. Nogueira, et al.

Source: Journal of Internet Services and Applications, Vol. 14(1), pp. 124–135

Citations: 2

Year: 2023

Virtualized 5G Testbed using OpenAirInterface: Tutorial and Benchmarking Tests

Authors: M. Dória, V. Sousa, A. Campos, N. Oliveira, P. Eduardo, C. Lima, J. Guilherme, et al.

Source: Journal of Internet Services and Applications, Vol. 15(1), pp. 523–535

Citations: Not yet cited

Year: 2024

Conclusion :

Paulo Eugênio da Costa Filho is a strong candidate for the Best Researcher Award, particularly for awards that value practical innovation, interdisciplinary research, and technology for public good. His profile showcases a rare blend of technicaldepth, creative application, and community impact, all rooted in scientific rigor and hands-on implementation. With cntinued development in publication strategy and international networking, he has the potential to become a leading figure in applied computing and sustainable technology solutions not just in Brazil, but globally.

Hamna Baig | Artificial Intelligence | Young Researcher Award

Published on by Network Awards

Ms. Hamna Baig | Artificial Intelligence | Young Researcher Award

Research Internee | COMSATS University Islamabad, Attock Campus | Pakistan

Hamna Baig 🎓 is a passionate and award-winning Electrical Engineering graduate from COMSATS University Islamabad, Attock Campus. A gold medalist 🥇 with a CGPA of 3.66, she blends academic brilliance with innovative research in AI, IoT, and robotics 🤖. Hamna’s dynamic work spans smart environments, RF sensing, and machine learning applications 💡. She has published multiple research papers 📚, led various technical projects, and participated in prestigious conferences 🏛️. Her leadership roles and technical writing expertise further reflect her versatility 🧠. Hamna aims to revolutionize engineering solutions through creativity, technology, and social impact 🌍.

Professional profile : 

Google Scholar

Orcid 

Summary of Suitability : 

Hamna Baig exemplifies the essence of a young and emerging researcher through her exceptional academic performance, innovative contributions to AI-driven engineering, and a prolific portfolio of research publications. A gold medalist in Electrical Engineering from COMSATS University Islamabad, she has demonstrated consistent excellence in both theoretical knowledge and practical application. With multiple high-impact publications, advanced project implementations, and recognized conference presentations, she brings outstanding promise to the future of intelligent systems and healthcare engineering. Her dedication to interdisciplinary innovation, backed by hands-on experience and leadership roles, showcases her as a rising star in engineering research.

🔹 Education & Experience :

📘 Education:

  • 🎓 B.Sc. Electrical Engineering, COMSATS University Islamabad, Attock Campus (2020–2024) – CGPA: 3.66/4.00, Gold Medalist 🏅

  • 📑 Final Year Project: AI-based Environmental Control Model for Smart Homes 🏠🤖

🧑‍💼 Experience:

  • 🧪 Internee, Electrical & Computer Engineering Dept., COMSATS, under PEC GIT Program (2024–Present)

  • ⚡ Internee, Ghazi-Barotha Hydro Power Plant (GBHPP), WAPDA (2023)

  • 🖋️ Technical Writer (Electrical/Electronics), CDR Professionals (2023–Present)

Professional Development :

Hamna Baig has actively pursued professional growth through certifications, leadership, and community engagement 🌱. She completed the prestigious “Machine Learning Specialization” by DeepLearning.AI 🤖, “Generative AI for Everyone” 🧠, and several tech courses from Stanford, Yonsei, and the University of Michigan via Coursera 🎓. As a proactive learner, she enhances her skills in AI, IoT, wireless communication, and public speaking 🎤. Hamna has held key roles such as President of the Sports Society 🏸, Co-Campus Director of AICP 🧑‍🔬, and VP of COMSATS Science Society. Her drive to uplift communities and advance technology sets her apart 🌟.

Research Focus : 

Hamna’s research centers on the integration of Artificial Intelligence and Machine Learning into real-world electrical and biomedical systems 🤖🧠. She explores SDR-based gait monitoring for Parkinson’s patients 🧓, AI-controlled environmental systems for energy-efficient smart homes 🌡️, and intelligent robotic applications in agriculture 🤖🍎. Her work emphasizes non-invasive health monitoring using RF sensing 🛏️ and AI-powered automation solutions. She is deeply invested in translating complex algorithms into practical, user-centric applications that elevate health, comfort, and productivity ⚡. Her interdisciplinary approach bridges electrical engineering with innovative computing solutions 🔌📊.

Awards & Honors :

  • 🏆 Awards & Certificates:

    • 🥇 Gold Medalist, COMSATS University Islamabad (2024)

    • 🧾 Certificate of Gratitude, ICTIS Conference, UET Peshawar (2024)

    • 📜 Certificate of Gratitude, ICCSI Conference, University of Haripur (2024)

    • 🧠 ML Specialization Certificate, DeepLearning.AI – Stanford (2023)

    • 🧬 Generative AI for Everyone – DeepLearning.AI (2025)

    • 🧏‍♀️ Public Speaking Specialization – University of Michigan (2024)

    • 📶 Wireless Communications Course – Yonsei University (2024)

    • 🎓 Prime Minister’s Youth Laptop Scheme Awardee (2023)

    • 🥇 Winner – IoT Pick and Place Robotic Competition, COMSATS (2024)

    • 🧒 Student of the Year – COMSATS University, Attock (2023)

Publication Top Notes : 

  • • Title: Intelligent Frozen Gait Monitoring using Software Defined Radio Frequency Sensing
    Citation: Electronics, 14(8), 1603, 2025
    Authors: Khan, M. B., Baig, H., Hayat, R., Tanoli, S. A. K., Rehman, M., Thakor, V. A., & Haider, D.
    Year: 2025

  • • Title: Machine Learning-Based Estimation of End Effector Position in Three-Dimension Robotic Workspace
    Citation: IJIST Journal (Impact Factor: 4.312)
    Authors: Baig, H., Ahmed, E., Jadoon, I., & Pakistan, K. C. A.
    Year: 2024

  • • Title: A Robotic Approach for Fruit Harvesting with Machine Learning-Based Joint Angles Prediction
    Citation: Submitted to ICCSI – International Conference on Computational Sciences and Innovations
    Authors: Baig, H., Baig, A.A, Ahmed, E., Jadoon, I., & Pakistan
    Year: 2024

  • • Title: Artificial Intelligence Based Adaptive Fan Control in Office Settings for Energy Efficiency
    Citation: Submitted to ICCIS – Proceedings to Springer Journal
    Authors: Baig, H.
    Year: 2024

  • • Title: A Robotic Arm Based Intelligent Biopsy System
    Citation: Submitted to ICCIS – Kohat University, Springer Proceedings
    Authors: Baig, H.
    Year: 2024

  • • Title: Design of an Intelligent Wireless Channel State Information Sensing System to Prevent Bedsores
    Citation: IEEE Sensors Journal (Under Review)
    Authors: Baig, H.
    Year: 2024

  • • Title: Enhancing Home Comfort and Energy Consumption with an Artificial Intelligence-Based Environmental Sensing Control Model
    Citation: PeerJ (Computer Science) (Under Review)
    Authors: Baig, H.
    Year: 2024

  • • Title: Breathing Techniques Redefined: The Pros and Cons of Traditional Methods and the Promise of SDRF Sensing
    Citation: Elsevier – Digital Communications and Networks (Under Review)
    Authors: Baig, H.
    Year: 2024

Conclusion : 

  • Hamna Baig not only meets but exceeds the expectations of a Young Researcher Award recipient. Her innovative mindset, research productivity, and real-world problem-solving approach make her an ideal candidate. Her work is not just academically sound but socially impactful—especially in the domains of healthcare and automation. She is a beacon of excellence and innovation, representing the future of engineering research. 🌟

 

Assist. Prof. Dr. Mila Kaleva | Medical Tech | Best Researcher Award

Published on by Network Awards

Assist. Prof. Dr. Mila Kaleva | Medical Tech | Best Researcher Award

Assist. Prof. Dr. Mila Kaleva, Stephan Angeloff Institute of Microbiology, Bulgaria

Assist. Prof. Dr. Mila Kaleva is a distinguished researcher in infectious microbiology, currently serving at “The Stephan Angeloff” Institute of Microbiology, Bulgarian Academy of Sciences. She earned her Ph.D. from the University of Forestry, Sofia, specializing in microbiological and epizootiological assessments of organic waste. With expertise in veterinary microbiology, infectious diseases, and food safety, Dr. Kaleva has contributed significantly to microbiology research and academia. She has extensive experience in laboratory research, teaching, and supervising students in veterinary microbiology. Her work focuses on advancing medical technology and veterinary pathology, ensuring improved disease control and food safety standards. 🦠🔬

🌍 Professional Profile:

Orcid

Google Scholar

🏆 Suitability for Award

Dr. Mila Kaleva is a highly accomplished researcher whose contributions to infectious microbiology and veterinary medicine make her an ideal candidate for the Best Researcher Award. Her work in microbial pathogen assessment, infectious disease control, and veterinary microbiology has significantly advanced scientific knowledge and public health. Through her research, she has developed innovative methodologies for handling organic waste in veterinary environments, enhancing disease prevention strategies. Her dedication to both research and teaching, coupled with her impactful publications, demonstrates her excellence in academia and applied science. This award would recognize her invaluable contributions to veterinary microbiology and infectious disease control. 🏆🔬

🎓 Education 

Dr. Mila Kaleva holds a Ph.D. in Infectious Pathology from the University of Forestry, Sofia, where she conducted research on microbiological and epizootiological assessments of organic waste in veterinary medicine. Prior to that, she obtained a Master’s degree in Veterinary Medicine from the same institution. Her academic training has provided her with deep expertise in microbiology, infectious diseases, and veterinary pathology. She has actively contributed to the field through advanced studies in disease control, medical technology, and food safety. Her education forms a strong foundation for her research in infectious microbiology, enabling her to pioneer new scientific advancements. 🎓🔬

🔬 Experience 

Dr. Kaleva has a rich professional background in microbiology research and veterinary medicine. Since 2019, she has been an Assistant Professor at “The Stephan Angeloff” Institute of Microbiology, specializing in infectious microbiology. She has also taught microbiology at the University of Forestry’s Faculty of Veterinary Medicine, mentoring students in laboratory research and applied microbiology. Her experience extends to laboratory-based pathogen analysis, disease prevention, and organic waste treatment in veterinary environments. Dr. Kaleva’s combined expertise in research and education allows her to contribute significantly to microbiological advancements while shaping the next generation of veterinary microbiologists. 🏥🔬

🏅 Awards and Honors 

Dr. Mila Kaleva has been recognized for her outstanding contributions to infectious microbiology and veterinary medicine. She has received research grants supporting her studies on pathogen control and organic waste management. Her work in veterinary microbiology has earned accolades from academic institutions and professional organizations. Additionally, she has participated in national and international conferences, presenting groundbreaking findings in microbiology and epizootiology. Her dedication to scientific excellence and innovative approaches to disease prevention have positioned her as a leader in her field. Dr. Kaleva’s achievements highlight her impact on veterinary medicine and infectious disease research. 🏅🔬

🔬 Research Focus

Dr. Mila Kaleva’s research revolves around infectious microbiology, veterinary medicine, and disease control. Her work explores microbiological assessments of organic waste, pathogen control in veterinary environments, and food safety regulations. She specializes in medical technology, focusing on veterinary pathology and epizootiological studies. Her studies contribute to understanding disease transmission, improving veterinary health, and developing advanced microbiological techniques. She is particularly interested in innovative solutions for mitigating microbial contamination in animal-origin food products. Her research plays a vital role in safeguarding public health by preventing the spread of infectious diseases in veterinary and agricultural sectors. 🔬🦠

📖 Publication Top Notes 

  • Cytotoxicity and Microbicidal Activity of Commonly Used Organic Solvents: A Comparative Study and Application to a Standardized Extract from Vaccinium macrocarpon
    • Year: 2021
    • Citations: 37
  • Antimicrobial and Antioxidant Potential of Scenedesmus obliquus Microalgae in the Context of Integral Biorefinery Concept
    • Citations: 31
  • Antimicrobial Effect in vitro of Aqueous Extracts of Leaves and Branches of Willow (Salix babylonica L.)
    • Year: 2015
    • Citations: 25
  • Decontamination of Sewage Sludge by Treatment with Calcium Oxide
    • Year: 2014
    • Citations: 18
  • Outstanding Antibacterial Activity of Hypericum rochelii—Comparison of the Antimicrobial Effects of Extracts and Fractions from Four Hypericum Species Growing in Bulgaria
    • Year: 2023
    • Citations: 13

 

 

Prof. Foluso Oluwagbemiga Osunsanmi | Medical Technology | Best Researcher Award

Published on by Network Awards

Prof. Foluso Oluwagbemiga Osunsanmi | Medical Technology | Best Researcher Award

Prof. Foluso Oluwagbemiga Osunsanmi | University of Zululand | South Africa

Dr. Foluso Oluwagbemiga Osunsanmi is a dedicated researcher specializing in plant pathology and mycotoxin management 🌾🔬. Currently a Senior Lecturer at the University of South Africa, he focuses on postharvest disease control, antimicrobial agents, and sustainable agricultural practices 🌍🧪. With a Ph.D. in Microbiology from the University of KwaZulu-Natal 🎓, he has published extensively in high-impact journals 📚. His expertise spans fungal biology, food security, and biotechnology 🍄🍽️. Passionate about mentoring young scientists, he actively collaborates on global research projects 🌎🤝. Dr. Osunsanmi’s contributions advance agricultural resilience and food safety worldwide 🌱🛡️.

Professional Profile:

Google Scholar

Suitability for Best Researcher Award

Dr. Foluso Oluwagbemiga Osunsanmi is a highly suitable candidate for the Best Researcher Award due to his significant contributions to plant pathology, mycotoxin management, and sustainable agricultural practices. His research focuses on postharvest disease control, antimicrobial agents, and food security, which are critical for global agricultural sustainability.

Education & Experience 🎓💼

  • Ph.D. in Microbiology – University of KwaZulu-Natal, South Africa (2018) 🏅🔬
  • M.Sc. in Microbiology – University of Ilorin, Nigeria (2014) 🎓🧫
  • B.Sc. in Microbiology – University of Ilorin, Nigeria (2009) 🎓🦠
  • Senior Lecturer – University of South Africa (Current) 📚🎤
  • Postdoctoral Researcher – University of KwaZulu-Natal (2018-2020) 🧪🔬
  • Lecturer – University of Ilorin, Nigeria (2014-2015) 👨‍🏫📖

Professional Development 🚀

Dr. Osunsanmi actively participates in professional training and workshops to stay at the forefront of microbiology and agricultural research 🌾🔬. He has attended international conferences and presented groundbreaking research on fungal pathogens, food contamination, and sustainable agriculture 🌎📢. As a mentor, he supervises postgraduate students, guiding them in innovative research methodologies 🎓🤝. He is a member of esteemed scientific societies, including the American Society for Microbiology and the South African Society of Microbiology 🏅🔬. His commitment to continuous learning and collaboration fosters advancements in food safety, crop protection, and antimicrobial resistance 🌱🛡️.

Research Focus 🔬🌾

Dr. Osunsanmi’s research primarily focuses on plant pathology, mycotoxin contamination, and fungal disease management in crops 🌽🦠. He investigates the role of antimicrobial agents in controlling postharvest spoilage and enhancing food security 🍎🛡️. His studies also explore biocontrol strategies to reduce chemical pesticide dependence, promoting eco-friendly agricultural practices 🌍🚜. With expertise in microbiology and biotechnology, he develops novel solutions for sustainable farming, addressing global challenges in food safety and climate resilience 🌿🔬. His research significantly contributes to reducing crop losses and ensuring healthier food production for future generations 🍽️🌱.

Awards & Honors 🏆🎖️

  • Postdoctoral Research Fellowship – University of KwaZulu-Natal (2018-2020) 🏅📚
  • Outstanding Researcher Award – Recognized for contributions in plant pathology 🌾🔬
  • Best Paper Presentation – International Conference on Agricultural Biotechnology 🗣️🏆
  • Research Excellence Award – University of South Africa (2022) 🏅🎓
  • Member, National Research Foundation (NRF) South Africa – Recognized for academic impact 🌍📖

Publication Top Notes:

📖 Comparative study on proximate, functional, mineral, and antinutrient composition of fermented, defatted, and protein isolate of Parkia biglobosa seed – BI Ogunyinka, BE Oyinloye, FO Osunsanmi, AP Kappo, AR Opoku | 🏛 Food Science & Nutrition 5 (1), 139-147 | 🔍 Cited by: 59
📖 Aqueous extract of Monodora myristica ameliorates cadmium-induced hepatotoxicity in male rats – BE Oyinloye, AF Adenowo, FO Osunsanmi, BI Ogunyinka, SO Nwozo, … | 🏛 SpringerPlus 5, 1-7| 🔍 Cited by: 52
📖 Effects of drying methods on quality attributes of shrimps – OM Ajifolokun, AK Basson, FO Osunsanmi, GE Zharare | 🏛 Journal of Food Processing and Technology 10 (772), 2  | 🔍 Cited by: 22
📖 Protective Effects of Parkia biglobosa Protein Isolate on Streptozotocin-Induced Hepatic Damage and Oxidative Stress in Diabetic Male Rats – BI Ogunyinka, BE Oyinloye, FO Osunsanmi, AR Opoku, AP Kappo | 🏛 Molecules 22 (10), 1654 |  🔍 Cited by: 21
📖 A Lanosteryl Triterpene from Protorhus longifolia Improves Glucose Tolerance and Pancreatic Beta Cell Ultrastructure in Type 2 Diabetic Rats – SE Mabhida, RA Mosa, D Penduka, FO Osunsanmi, PV Dludla, … | 🏛 Molecules 22 (8), 1252 |  🔍 Cited by: 21

 

 

 

Dr. Rim Hamdaoui | Desease Detection by Artificial Intelligence | Best Researcher Award

Published on by Network Awards

Dr. Rim Hamdaoui | Desease Detection by Artificial Intelligence | Best Researcher Award

Dr. Rim Hamdaoui, Shaqra university, Saudi Arabia

Dr. Rim Dhaou Hamdaoui, a Tunisian national born on July 5, 1982, in Sidi Bouzid, Tunisia, is a highly accomplished Assistant Professor specializing in Electrical Engineering, with a focus on Systems Automatic Control. She holds a PhD with First Class Honors from the National Engineering School of Gabes, Tunisia, and CRAN Center, France, where her research centered on temporal optimization in fault diagnosis and fault-tolerant control delays, particularly in aeronautic systems. With extensive teaching experience spanning various institutions in Tunisia and Saudi Arabia, including Shaqra University and the University of Gabes, Dr. Hamdaoui has expertise in a wide array of computer skills and programming languages such as Python, MATLAB, and C++, among others. Her dedication to advancing knowledge in her field is evident through her participation in various scientific workshops and training programs both domestically and internationally.

🌐 Professional Profiles :

Google Scholar

Scopus

🎓 Education:

Rim holds a PhD in Electrical Engineering with a specialization in Systems Automatic Control. Her doctoral research focused on temporal optimization in fault diagnosis and fault-tolerant control systems, particularly within aeronautical contexts. She achieved First-Class Honors for her exemplary work.

👩‍🏫 Professional Career:

Currently serving as an Assistant Professor at the College of Sciences and Human Studies, Shaqra University, Saudi Arabia, Rim brings a wealth of experience to her role. Previously, she held academic positions at institutions such as the Higher Institute of Industrial Systems Gabes in Tunisia.

🔬 Research Expertise:

Rim’s research interests span across fault detection, diagnosis, and control optimization. Her expertise lies in developing intelligent observer systems and ensuring the safety and reliability of complex engineering systems.

💻 Teaching:

With a passion for education, Rim has taught a diverse range of subjects including computer skills, programming languages, artificial intelligence, and systems control. Her teaching career has taken her from Tunisia to Saudi Arabia, enriching the academic experiences of her students.

🌍 Training:

Rim’s dedication to continuous learning is evident through her participation in various scientific training programs and workshops, both in Tunisia and abroad. These experiences have further honed her skills in automation and control systems.

🖥️ Computer Skills:

Rim is proficient in a multitude of programming languages including Python, C/C++, Java, and MATLAB. Her expertise extends to software like Word, Excel, PowerPoint, and LaTeX, enabling her to effectively communicate her research findings and teach with modern tools.

Publications Top Notes :

  1. Actuator fault recovery study based on post-fault time analysis
    • Published Year: 2011
    • Journal: Proceedings of 18th IFAC World Congress, Milano
    • Cited By: 8
  2. Integrated Architecture of Actuator Fault Diagnosis and Accommodation
    • Published Year: 2012
    • Journal: International Journal of Instrumentation and Control Systems
    • Cited By: 6
  3. UIO based robust fault detection and estimation
    • Published Year: 2013
    • Journal: 2013 International Conference on Control, Decision and Information
    • Cited By: 5
  4. Fault detection performances analysis for stochastic systems based on adaptive threshold
    • Published Year: 2016
    • Journal: 2016 13th International Multi-Conference on Systems, Signals & Devices (SSD)
    • Cited By: 4
  5. A fault tolerant predictive control applied to hydro-thermal system
    • Published Year: 2008
    • Journal: Proceedings of CIFA 2008, Bucarest, Romania, 1-6
    • Cited By: 4