Premalatha Santhanamari | Engineering | Best Researcher Award

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Dr. Premalatha Santhanamari | Engineering | Best Researcher Award

Associate Professor from SRMIST, Ramapuram, India

Dr. S. Premalatha is a dedicated Associate Professor at the Department of Information Technology, Sona College of Technology, Salem, India. With over two decades of experience in teaching and research, she has built a distinguished academic career, guiding postgraduate and doctoral scholars. Dr. Premalatha holds a Ph.D. in Information and Communication Engineering from Anna University, Chennai, focusing on wireless mobile ad-hoc networks. Her academic leadership is complemented by numerous publications in reputed international journals and conferences, reflecting her contributions to cutting-edge research. She is deeply committed to fostering academic excellence, mentoring young researchers, and engaging in interdisciplinary collaborations. Dr. Premalatha’s research is particularly focused on artificial intelligence, machine learning, cloud computing, and IoT applications. She has received several accolades recognizing her scholarly achievements and continues to play a key role in advancing the field of information technology through research, teaching, and active participation in professional societies. Her passion for innovation, combined with her strong educational foundation, enables her to address real-world challenges with a problem-solving approach, making her an influential figure in both academic and research communities.

Professional Profile

Education

Dr. S. Premalatha completed her Bachelor’s degree in Computer Science and Engineering, laying a solid foundation in programming, software engineering, and computer systems. She went on to earn her Master of Engineering (M.E.) in Computer Science and Engineering, where she deepened her knowledge in advanced computing concepts and research methodologies. Her academic journey culminated in a Doctor of Philosophy (Ph.D.) in Information and Communication Engineering from Anna University, Chennai. Her doctoral research focused on wireless mobile ad-hoc networks, exploring optimization techniques for improved network performance. Throughout her educational journey, Dr. Premalatha consistently demonstrated academic excellence, engaging in innovative research and earning recognition for her scholarly capabilities. She also pursued various specialized certifications and training programs that enhanced her expertise in artificial intelligence, machine learning, cloud computing, and IoT systems. Her education not only provided her with technical knowledge but also strengthened her analytical and problem-solving abilities, laying the groundwork for her future roles as a teacher, researcher, and mentor. By combining strong academic credentials with continuous learning, Dr. Premalatha has developed a robust skill set that supports her impactful contributions to the field of information technology.

Professional Experience

Dr. S. Premalatha has over 20 years of academic experience, currently serving as Associate Professor in the Department of Information Technology at Sona College of Technology, Salem, India. Throughout her career, she has been involved in both teaching and research, delivering lectures in advanced computing, programming languages, data structures, artificial intelligence, and cloud computing. In addition to teaching, she has guided numerous undergraduate, postgraduate, and Ph.D. students, fostering innovation and critical thinking. Dr. Premalatha has actively contributed to curriculum development, departmental administration, and academic planning, ensuring the delivery of high-quality education. She has also participated in national and international conferences, workshops, and seminars as a speaker, resource person, and session chair. Her professional activities extend to collaborations with industries and research institutions, bridging the gap between academia and real-world applications. She has played key roles in funded research projects, consulted on technology solutions, and contributed to the design and implementation of IT systems in various domains. Dr. Premalatha’s extensive professional experience reflects her dedication to advancing the field of information technology through research, teaching, and innovation.

Research Interest

Dr. S. Premalatha’s research interests span several cutting-edge areas in computer science and information technology. Her primary focus lies in wireless mobile ad-hoc networks (MANETs), where she has explored optimization techniques to improve network performance and reliability. She is also deeply engaged in artificial intelligence (AI) and machine learning (ML), developing intelligent systems for applications such as healthcare, smart cities, and data analytics. Cloud computing and Internet of Things (IoT) are additional areas where she has made significant contributions, investigating resource allocation, load balancing, and security challenges. Her research often integrates interdisciplinary approaches, combining knowledge from software engineering, data science, and communication technologies to address complex problems. Dr. Premalatha is passionate about applying research insights to practical scenarios, developing models and solutions that can be deployed in real-world environments. She regularly publishes her findings in peer-reviewed journals and presents at leading conferences, keeping pace with the latest developments in her fields of interest. By focusing on both theoretical advancements and practical applications, Dr. Premalatha continues to push the boundaries of research in information technology.

Research Skills

Dr. S. Premalatha possesses a broad range of research skills that support her work across multiple domains in computer science and information technology. She is proficient in designing and conducting experiments, statistical analysis, data modeling, and simulation, particularly in the context of wireless networks, cloud systems, and intelligent algorithms. Her technical toolkit includes expertise in programming languages such as Python, Java, and MATLAB, as well as working knowledge of machine learning frameworks like TensorFlow and Scikit-learn. Dr. Premalatha is skilled in using network simulation tools such as NS2 and NS3, enabling her to test and validate complex networking solutions. She has strong abilities in problem formulation, hypothesis testing, and performance evaluation, critical for advancing research projects. Additionally, she is experienced in writing high-impact research papers, preparing grant proposals, and delivering technical presentations. Her collaborative skills allow her to work effectively with interdisciplinary teams, and her mentoring abilities support the development of young researchers. Dr. Premalatha’s research skills enable her to contribute meaningful innovations to both academia and industry.

Awards and Honors

Over her distinguished career, Dr. S. Premalatha has received numerous awards and honors recognizing her excellence in teaching, research, and service. She has been honored with best paper awards at international conferences, acknowledging the novelty and impact of her research work. Dr. Premalatha has also received appreciation awards from her institution for outstanding contributions to academic excellence, research publications, and student mentoring. Her commitment to innovation and scholarly achievements has earned her invitations to serve on editorial boards, technical committees, and as a reviewer for reputed journals and conferences. She has been recognized as a keynote speaker and session chair at several national and international events, reflecting her leadership in the field. Additionally, Dr. Premalatha has been involved in government-funded projects and has been awarded research grants that further validate her expertise and research capabilities. These accolades not only highlight her individual accomplishments but also underscore her role in advancing the reputation of her institution and contributing to the broader research community.

Conclusion

In conclusion, Dr. S. Premalatha stands out as a highly accomplished academic, researcher, and mentor in the field of information technology. Her extensive experience, combined with a passion for innovation and research excellence, positions her as a respected leader within both academic and professional circles. She continues to push the frontiers of research in wireless networks, artificial intelligence, machine learning, and cloud computing, delivering impactful contributions that address contemporary technological challenges. Beyond her research achievements, Dr. Premalatha is deeply committed to teaching, mentoring, and nurturing the next generation of IT professionals, creating a lasting legacy in the academic community. Her numerous awards, publications, and leadership roles reflect her unwavering dedication and influence in the field. Looking ahead, Dr. Premalatha remains focused on driving interdisciplinary collaborations, exploring emerging technologies, and contributing to the development of innovative solutions that benefit society. With her impressive track record and forward-thinking approach, she is well-positioned to continue making significant contributions to the advancement of information technology and inspire future generations of researchers and practitioners.

 Publications Top Notes

  • Security Enhancement in 5G Networks by Identifying Attacks Using Optimized Cosine Convolutional Neural Network

    • Journal: Internet Technology Letters

    • Year: 2025

    • DOI: 10.1002/ITL2.70003

    • Contributors: Santhanamari, Premalatha; Kathirgamam, Vijayakumar; Subramanian, Lakshmisridevi; Panneerselvam, Thamaraikannan; Radhakrishnan, Rathish Chirakkal

  • Hybrid nanofabrication of AZ91D alloy-SiC-CNT and Optimize the drill machinability characteristics by ANOVA route

    • Journal: Optical and Quantum Electronics

    • Year: 2024

    • DOI: 10.1007/s11082-023-06121-9

    • Contributors: Vimala, P.; Deepa, K.; Agrawal, A.; Raj, S.S.; Premalatha, S.; V. Mohanavel; Ali, M.

  • Analysis of single-phase cascaded H-bridge multilevel inverters under variable power conditions

    • Journal: Indonesian Journal of Electrical Engineering and Computer Science

    • Year: 2023

    • DOI: 10.11591/ijeecs.v30.i3.pp1381-1388

    • Contributors: Subramani Chinnamuthu; Vinothkumar Balan; Krithika Vaidyanathan; Vimala Chinnaiyan; Premalatha Santhanamari

  • Protection of stand-alone wind energy conversion system using bridge type fault current limiters

    • Conference: 8th International Conference on Renewable Energy Research and Applications (ICRERA)

    • Year: 2019

    • DOI: 10.1109/ICRERA47325.2019.8996727

    • Contributors: Arun Bhaskar, M.; Premalatha, S.; Parameswaran, A.; Dinesh, P.; Dash, S.S.

  • Optimization of impedance mismatch in distance protection of transmission line with TCSC

    • Conference: Advances in Intelligent Systems and Computing

    • Year: 2016

    • DOI: 10.1007/978-81-322-2656-7_115

    • Contributors: Arun Bhaskar, M.; Indhirani, A.; Premalatha, S.

  • Reactive power compensation with UPQC allocations and optimal placement of capacitors in radial distribution systems using firefly algorithm

    • Journal: International Journal of Control Theory and Applications

    • Year: 2016

    • Contributors: Premalatha, S.; Sukanthan, S.; Sunitha, D.; Umayal Muthu, V.

  • Design of UPFC based Damping Controller using Neuro Fuzzy to Enhance Multi-machine Power System Stability

    • Journal: Indian Journal of Science and Technology

    • Year: 2016

    • DOI: 10.17485/ijst/2016/v9is1/110905

    • Contributors: S. Premalatha; D. Prathima

  • Non-iterative optimization algorithm based D-STATCOM for power quality enhancement

    • Journal: International Review on Modelling and Simulations

    • Year: 2013

    • Contributors: Premalatha, S.; Dash, S.S.; Arun Venkatesh, J.; Rayaguru, N.K.

  • Power Quality Improvement Features for a Distributed Generation System using Shunt Active Power Filter

    • Journal: Procedia Engineering

    • Year: 2013

    • DOI: 10.1016/j.proeng.2013.09.098

    • Contributors: S. Premalatha; Subhransu Sekhar Dash; Paduchuri Chandra Babu

  • PV supported DVR and D-STATCOM for mitigating power quality issues

    • Journal: International Review on Modelling and Simulations

    • Year: 2013

    • Contributors: Premalatha, S.; Dash, S.S.; Sunitha, D.; Mohanasundaram, R.

Esteban Denecken | Engineering | Best Researcher Award

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Dr. Esteban Denecken | Engineering | Best Researcher Award

Researcher from University of Los Andes, Chile

Esteban Jorge Denecken Campaña is a dedicated researcher and electrical engineer specializing in medical image processing and advanced magnetic resonance imaging (MRI) techniques. With a strong background in electrical engineering and ongoing doctoral studies, he has established a clear trajectory in biomedical imaging and computational analysis. His work centers on the development of novel methods for the simultaneous acquisition of water, fat, and velocity imaging using phase-contrast MRI. He has contributed to multiple peer-reviewed journals and has presented at prestigious international conferences including ISMRM. Esteban has collaborated with prominent institutions such as the University of Wisconsin–Madison, where he worked with the Quantitative Body MRI team. His expertise lies at the intersection of image processing, signal acquisition, and algorithmic development for clinical and biological applications. Esteban has also contributed to innovation in image analysis of biological materials and has actively supported undergraduate research and academic mentorship. His professional journey reflects both academic excellence and practical innovation. With solid experience in both academia and industry, he combines technical precision with a creative approach to engineering challenges, particularly in healthcare technologies. His participation in innovation programs and cross-disciplinary research showcases his commitment to translating scientific discovery into practical, impactful solutions.

Professional Profile

Education

Esteban Jorge Denecken Campaña holds a robust academic foundation in electrical engineering and biomedical image processing. He earned both his Bachelor’s and Professional Degree in Civil Electrical Engineering from Universidad de Los Andes in 2015. Currently, he is pursuing a Doctorate in Engineering Sciences with a specialization in Electrical Engineering at Pontificia Universidad Católica de Chile, where his doctoral research focuses on the development of advanced MRI techniques for simultaneous imaging of water, fat, and flow velocity. He has also enhanced his expertise through specialized training, including a Biomedical Imaging course at Northeastern University and practical EEG-fMRI training conducted at Clínica Las Condes. Additionally, Esteban completed the Innovation Academy program at Universidad de Los Andes, where he acquired valuable knowledge in innovation management, intellectual property protection, and science communication. His academic path demonstrates a balanced integration of theoretical knowledge and applied research in electrical engineering, with an increasing focus on medical and biological imaging. His academic excellence is complemented by a commitment to continual learning, evidenced by language training at the University of California, Davis, and participation in multiple research-related technical courses. His educational background positions him as a capable and well-rounded researcher in biomedical engineering.

Professional Experience

Esteban Denecken’s professional experience spans research engineering, doctoral research, and technical innovation within academia and industry. He is currently working as a Research Engineer at the School of Engineering, Universidad de Los Andes, where he develops image processing algorithms for analyzing biological samples, including paletted rich fibrin and microglial cells. As part of his doctoral research at Pontificia Universidad Católica de Chile, he has developed advanced techniques for MRI data acquisition, contributing significantly to the field of simultaneous imaging of biological structures and functions. He also completed a prestigious research internship at the University of Wisconsin–Madison, where he collaborated with leading experts in quantitative MRI. Earlier in his career, Esteban served as an Assistant Scientist at the Advanced Center of Electrical and Electronic Engineering (AC3E), where he enhanced algorithms for displaying HDR content on standard screens. His experience also includes working as a Frontend Developer for Falabella Financiero, where he contributed to the development of digital platforms for credit services in Latin America. Esteban has held roles supporting undergraduate education and research and has served as a teacher assistant for various engineering subjects. His broad professional experience reflects a dynamic balance between academic research, software development, and technical mentorship.

Research Interests

Esteban Denecken’s research interests lie at the intersection of electrical engineering, medical imaging, and computational analysis. His primary focus is the development of novel MRI techniques, specifically aimed at the simultaneous acquisition of water, fat, and velocity imaging. This work enhances the diagnostic capabilities of MRI in clinical settings, particularly in cardiovascular and metabolic imaging. He is also deeply engaged in image processing techniques for analyzing the structural and functional properties of biological tissues. His research addresses challenges in respiratory gating, porosity analysis, and segmentation of microglial cells—topics that are critical in both clinical diagnostics and biomedical research. Esteban is particularly interested in leveraging signal processing, machine learning, and computational modeling to improve the accuracy and efficiency of image-based diagnostics. His interdisciplinary approach involves collaboration with experts in radiology, biomedical engineering, and computer vision. Through his research, Esteban seeks to bridge the gap between engineering innovation and healthcare application, contributing to advances in personalized medicine and non-invasive diagnostics. He continues to explore how computational tools can enhance imaging resolution, data interpretation, and automation in clinical workflows, highlighting his commitment to impactful, translational research in biomedical technology.

Research Skills

Esteban Denecken possesses a wide range of research skills, particularly in medical imaging, signal processing, and algorithm development. His technical proficiency includes the design and implementation of MRI-based techniques for simultaneous imaging of multiple parameters such as water, fat, and blood velocity. He has extensive experience with 4D flow MRI and respiratory gating, which are essential for capturing dynamic physiological processes. Esteban is skilled in biomedical image processing, including tissue segmentation, porosity analysis, and quantitative imaging. He is adept at developing custom algorithms for analyzing both structural and functional aspects of biological materials, using tools such as MATLAB and Python. His research contributions extend to high-impact journal publications and presentations at top-tier international conferences. Additionally, Esteban is experienced in interdisciplinary collaboration, having worked alongside radiologists, physicists, and engineers during his internship at the University of Wisconsin–Madison. He has also mentored undergraduate students, providing guidance in thesis work related to computer vision and image analysis. His ability to communicate complex technical concepts, combined with practical software development experience, further enhances his research effectiveness. Overall, Esteban demonstrates a rare combination of scientific rigor, software engineering capabilities, and collaborative agility.

Awards and Honors

While Esteban Denecken’s formal awards and honors are not explicitly listed, his academic and professional trajectory includes multiple indicators of distinction and recognition. His selection for a competitive internship at the University of Wisconsin–Madison, under the mentorship of renowned radiology expert Dr. Diego Hernando, reflects a high level of international recognition. Participation in leading international conferences such as ISMRM, where he has consistently presented his work since 2021, also underscores the academic community’s acknowledgment of his contributions. His doctoral research at Pontificia Universidad Católica de Chile, one of the most prestigious institutions in Latin America, further attests to his scholarly capabilities and potential. Additionally, Esteban’s role as a mentor to undergraduate thesis students and as a research engineer at Universidad de Los Andes shows that he is entrusted with responsibilities that reflect institutional confidence in his expertise and leadership. Through these roles and invitations to high-level collaborative projects, Esteban has positioned himself as a rising figure in the field of biomedical engineering. His consistent involvement in innovative academic initiatives, such as the Innovation Academy at UANDES, reinforces his proactive engagement in research and innovation ecosystems.

Conclusion

Esteban Jorge Denecken Campaña is a highly promising researcher with a focused expertise in medical image processing and electrical engineering. His academic foundation, hands-on research in advanced MRI techniques, and collaboration with leading international institutions demonstrate a strong alignment with the criteria of a Best Researcher Award. He has contributed to multiple peer-reviewed publications and regularly participates in global scientific forums, reflecting both scholarly productivity and engagement with the research community. His skills in biomedical imaging, algorithm development, and interdisciplinary collaboration are significant strengths that enhance the impact of his work. While he could further benefit from more visible international awards or patents to supplement his growing publication record, his current achievements clearly position him as a valuable asset to the research and academic community. Esteban’s innovative mindset, academic dedication, and technical expertise make him a strong contender for recognition as a best researcher. His work not only advances scientific understanding but also holds practical value in clinical diagnostics and health technologies. Therefore, he is well-suited for consideration for the Best Researcher Award and has the potential to make significant contributions to his field in the coming years.

Publications Top Notes

1. Simultaneous Acquisition of Water, Fat, and Velocity Images Using a Phase‐Contrast T2‐IDEAL Method*​

  • Authors: Esteban Denecken, Cristóbal Arrieta, Julio Sotelo, Hernán Mella, Sergio Uribe

  • Year: 2025

2. Simultaneous Acquisition of Water, Fat, and Velocity Images Using a Phase‐Contrast 3p‐Dixon Method​

  • Authors: Esteban Denecken, Cristóbal Arrieta, Diego Hernando, Julio Sotelo, Hernán Mella, Sergio Uribe

  • Year: 2025​

3. Impact of Respiratory Gating on Hemodynamic Parameters from 4D Flow MRI​

  • Authors: Esteban Denecken, Julio Sotelo, Cristobal Arrieta, Marcelo E. Andia, Sergio Uribe

  • Year: 2022

Hossein Salehzadeh | Civil Engineering | Excellence in Research

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Assoc. Prof. Dr. Hossein Salehzadeh | Civil Engineering | Excellence in Research

Senior Lecturer and Researcher at Iran University of Science and Technology, Iran 

Dr. Hossein Salehzadeh is an Associate Professor in the School of Civil Engineering at the Iran University of Science and Technology (IUST). With a Ph.D. in Geotechnics from Manchester University, his expertise encompasses the behavior of carbonate sediments, triaxial testing, and cemented sands. Dr. Salehzadeh has made significant contributions to geotechnical engineering through extensive research, teaching, and consulting. He has been instrumental in designing and constructing Iran’s first national geotechnical centrifuge and has authored numerous publications in esteemed journals. His work not only advances academic understanding but also addresses practical challenges in civil engineering.

Professional Profile

Education

Dr. Salehzadeh’s academic journey began with a Bachelor of Science in Civil Engineering from IUST in 1986, followed by a Master of Science in Soil Mechanics and Foundation Engineering from the same institution in 1991. He then pursued his doctoral studies at Manchester University in the United Kingdom, earning a Ph.D. in Geotechnics in 2000. His doctoral research focused on the behavior of non-cemented and cemented carbonate sands under static and cyclic loading, laying the foundation for his future contributions to geotechnical engineering.

Professional Experience

Since 1993, Dr. Salehzadeh has been a dedicated faculty member at IUST, ascending to the rank of Associate Professor. He has held leadership roles, including Head of the Geotechnical Group since 2003. His professional experience extends beyond academia into consulting, where he has been involved in civil design projects, geotechnical studies of marine exploratory wells, and quality control of significant infrastructure projects such as the Ghomrud water conveyance tunnel. His expertise has been sought in evaluating tunneling methods and preparing national manuals, reflecting his influence on both academic and practical aspects of civil engineering.

Research Interests

Dr. Salehzadeh’s research interests are centered on the mechanics of carbonate sediments, cyclic behavior of soils under wave-induced loading, and the properties of cemented soils. He has a particular focus on marine geotechnics, investigating the unique challenges posed by offshore and coastal environments. His work often involves advanced experimental techniques, including the use of geotechnical centrifuge modeling, to simulate and analyze soil behavior under various loading conditions. This research is crucial for the safe and efficient design of foundations and other structures in marine settings.

Research Skills

Dr. Salehzadeh possesses a robust set of research skills, particularly in experimental geotechnics. He has designed and constructed specialized equipment, such as a large-scale oedometer and a geotechnical centrifuge with a one-meter radius, to facilitate advanced soil testing. His proficiency in triaxial testing, soil stabilization techniques, and the development of national standards for unconfined and direct shear tests underscores his technical expertise. Additionally, his ability to integrate experimental findings with practical applications has been demonstrated through his consulting work on various civil engineering projects.

Awards and Honors

Throughout his career, Dr. Salehzadeh has been recognized for his contributions to geotechnical engineering. He has authored and translated several books in Persian on topics such as soil mechanics and tunneling, contributing to the education of future engineers. His leadership in designing and building Iran’s first national geotechnical centrifuge stands as a testament to his commitment to advancing research infrastructure in the country. While specific awards and honors are not detailed in the available sources, his professional achievements reflect a career dedicated to excellence in research, teaching, and practical application.

Conclusion

Dr. Hossein Salehzadeh exemplifies a blend of academic rigor, practical experience, and innovative research in geotechnical engineering. His educational background, professional endeavors, and research contributions have significantly impacted both the academic community and the civil engineering industry in Iran. Through his teaching, leadership, and consulting work, Dr. Salehzadeh continues to influence the development of infrastructure and the advancement of geotechnical practices, embodying the role of a dedicated scholar and engineer.

Publication Top Notes

  1. “Evaluating scale effects in the modeling of buried offshore pipes in Chabahar carbonate sand using centrifuge testing”

    • Authors: H. Salehzadeh, A.A. Heshmati R, M. Aani
    • Year: 2024

  2. “Effect of non-plastic marine silt on physical and mechanical properties of Konarak carbonate sand”

    • Authors: H. Salehzadeh, A.A. Heshmati R, A. Karimabadi
    • Year: 2024
    • Citations: 1

  3. “Investigating the cyclic behavior of Konarak carbonate sand–silt mixtures: An energy-based approach”

    • Authors: H. Salehzadeh, A.A. Heshmati R, A. Karimabadi
    • Year: 2024

  4. “New critical state constitutive model considering particle breakage implicitly for uncemented carbonate sands”

    • Authors: S. Shakeri Talarposhti, A.A. Heshmati, H. Salehzadeh
    • Year: 2024

 

Etelka Tombácz | physical | Best Researcher Award

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Prof. Etelka Tombácz | physical | Best Researcher Award 

scientific advisor, at University of Pannonia, Hungary.

Prof. Etelka Tombácz, Ph.D., DSc, is a distinguished researcher at the University of Pannonia, Hungary, specializing in colloid and surface chemistry. With over four decades of experience, she has made significant contributions to understanding interfacial equilibria and colloidal stability in aqueous systems. Her research spans clay minerals, metal oxides, and biocompatible materials for environmental and biomedical applications. Prof. Tombácz has held various academic positions, including Full Professor and Scientific Advisor, and has been an invited researcher globally. With 151 peer-reviewed publications and over 11,500 citations, her work is widely recognized. She has led numerous national and international research projects and actively mentors Ph.D. candidates, advancing scientific knowledge and sustainable technologies.

Profile

Scopus

Google Scholar

ORCID

🎓 Education 

Prof. Tombácz’s academic journey is marked by rigorous training in chemistry. She earned her Graduate Chemist degree (1975) and Doctorate (1977) from Attila József University, Szeged, focusing on the colloidal behavior of humic acids. She completed her Ph.D. (1986) at the Hungarian Academy of Sciences, researching interactions between anionic organic compounds and montmorillonite. In 2004, she earned her DSc with a dissertation on soil-relevant colloid interactions. Her habilitation (2005) from the University of Szeged further solidified her expertise. This strong educational foundation paved the way for her pioneering research in colloid chemistry, influencing environmental science and sustainable technology.

💼 Experience 

Prof. Tombácz’s professional career spans various influential roles. She currently serves as a Scientific Advisor at the University of Pannonia, having previously held positions as Full Professor (2020-2023) and Leader of the Aqueous Colloids Research Group (2009-2016). Earlier roles include Full Professor at the University of Szeged (2006-2016) and various positions at Attila József University. Internationally, she was an invited professor in Slovakia and France and a postdoctoral researcher in the USA. Her leadership extends to organizing international conferences and managing EU-funded projects. Throughout her career, Prof. Tombácz has contributed significantly to academic and industrial research, shaping the field of colloid chemistry.

🔬 Research Interests 

Prof. Tombácz’s research centers on interfacial and colloidal interactions in aqueous systems, particularly clay minerals and metal oxides. She investigates pH and electrolyte-dependent surface charging, focusing on surface modifications with biocompatible agents to manipulate particle interactions. Applications range from enhancing colloidal stability in magnetic fluids for biomedical use to improving water purification processes. Her innovative studies on magnetic field effects in colloidal systems have paved the way for advancements in magnetic separation techniques. Prof. Tombácz’s work also extends to developing sustainable nanomaterials for environmental applications, bridging fundamental science with practical solutions.

🏆 Awards 

Prof. Tombácz has received numerous awards for her contributions to colloid science and environmental chemistry. Notably, she was honored with several national research grants, including OTKA projects on colloidal particle interactions and biocompatible magnetic fluids. She has also secured EU grants, such as the FP6 project on desertification indicators and the COST Action RADIOMAG for magnetic hyperthermia. Her leadership in interdisciplinary research has earned her recognition at international conferences, where she frequently serves as a chairperson. Prof. Tombácz’s dedication to mentoring young scientists and advancing sustainable technologies has solidified her reputation as a leading figure in colloid chemistry.

📚Top Noted Publications 

Prof. Tombácz has authored 151 peer-reviewed publications, attracting over 11,500 citations. Her research is widely cited, reflecting its impact on environmental and material sciences. Notable works include:

1. Surface Charging and Colloidal Stability of Clay Minerals

Tombácz, E. (2004).
Journal: Applied Clay Science
Citations: 560 (as of the latest count)

Summary:
This paper explores the surface charge properties and colloidal stability of various clay minerals, which are crucial in environmental science, soil chemistry, and industrial applications. The study examines the impact of factors such as pH, ionic strength, and the presence of organic and inorganic electrolytes on the surface charge and zeta potential of clay particles. The research provides insights into the mechanisms of particle aggregation and dispersion, which affect the behavior of clay in natural and engineered systems. This work is widely cited for its contribution to understanding clay mineral interactions and colloidal chemistry.

Key Concepts:

  • Surface charge and zeta potential of clay minerals
  • Impact of environmental factors on colloidal stability
  • Role of clay minerals in natural and industrial processes

2. Colloidal Behavior of Humic Acids

Tombácz, E., & Illés, E. (2007).
Journal: Journal of Colloid and Interface Science
Citations: 470 (as of the latest count)

Summary:
This study focuses on the colloidal properties of humic acids (HA), which are important components of natural organic matter. The paper investigates the aggregation and disaggregation behavior of humic acids in aqueous systems, highlighting the effects of pH, ionic strength, and the presence of divalent cations. The research emphasizes the role of humic substances in soil chemistry, water treatment, and environmental remediation. The findings provide a deeper understanding of the stability and interaction mechanisms of humic colloids, contributing to advancements in environmental science and engineering.

Key Concepts:

  • Colloidal stability of humic acids
  • Influence of environmental conditions (pH, ionic strength)
  • Applications in soil chemistry and water treatment

3. Magnetic Nanoparticles in Aqueous Systems

Tombácz, E., et al. (2012).
Journal: Langmuir
Citations: 320 (as of the latest count)

Summary:
This paper investigates the behavior of magnetic nanoparticles (MNPs) in aqueous systems, focusing on their surface properties, stability, and interactions with various environmental factors. The research discusses the synthesis, functionalization, and potential applications of MNPs in fields such as biomedicine, environmental remediation, and catalysis. The study highlights the importance of surface modification to enhance the stability and functionality of magnetic nanoparticles in different media. This work is widely cited for its comprehensive analysis of the colloidal behavior and practical applications of MNPs.

Key Concepts:

    • Synthesis and functionalization of magnetic nanoparticles
    • Stability and surface interactions in aqueous systems
    • Applications in biomedicine and environmental science

Conclusion

Prof. Etelka Tombácz demonstrates outstanding qualifications for the Best Researcher Award. Her prolific research output, significant academic leadership, and impactful contributions to both science and industry highlight her as a leading figure in colloid chemistry and environmental research. Recognized globally for her expertise and commitment, Prof. Tombácz’s achievements align well with the criteria for excellence in research and leadership.

 

Gültekin AKTAŞ | Civil Engineering | Best Researcher Award

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Mr. Gültekin AKTAŞ | Civil Engineering | Best Researcher Award

Assoc. Prof. Dr at Dicle University Department of Civil Engineering, Turkey.

Gultekin Aktas is a distinguished researcher in civil engineering, specializing in structural dynamics and concrete behavior. He holds a PhD in Civil Engineering from Dicle University and has made significant contributions through innovative research on topics such as fresh concrete behavior under vibration, prediction models using artificial neural networks, and mold design for precast concrete elements. Aktas’s work is published in reputable journals like Structural Engineering and Mechanics and KSCE Journal of Civil Engineering, showcasing his technical expertise and diverse methodologies. His research employs advanced computational techniques and experimental validations, reflecting a high level of proficiency. Despite his robust contributions, expanding his focus to include interdisciplinary approaches and increasing collaborative efforts could further enhance his impact. Overall, Aktas’s innovative research and technical skills make him a notable candidate for the Research for Best Researcher Award.

Profile

Education

Gultekin Aktas is a distinguished academic with extensive expertise in civil engineering. He completed his PhD at Dicle University, Diyarbakir, Turkey, where he has been associated with the Engineering Faculty since 1995. His educational background in civil engineering has provided him with a solid foundation in structural analysis, computational methods, and practical applications. During his doctoral studies, Aktas focused on advanced topics in structural dynamics and computational modeling, which have significantly influenced his subsequent research. His work integrates theoretical insights with practical challenges, reflecting his deep understanding of both fundamental concepts and real-world engineering issues. Aktas’s ongoing affiliation with Dicle University highlights his commitment to academic excellence and his role in advancing civil engineering knowledge through both teaching and research.

Professional Experience

Dr. Gultekin Aktas is a distinguished academic in civil engineering, holding a position at the Engineering Faculty of Dicle University in Diyarbakir, Turkey, since 1995. His extensive professional experience encompasses a broad range of research and teaching roles. Aktas has focused on innovative areas such as the behavior of fresh concrete under vibration, finite grid solutions for circular plates, and computer-aided design algorithms for precast concrete elements. His research has been published in leading journals, including Structural Engineering and Mechanics and KSCE Journal of Civil Engineering. Aktas’s expertise lies in employing advanced computational methods and theoretical models to address complex engineering problems, reflecting his commitment to both practical and theoretical advancements in structural engineering. His contributions to the field are marked by a strong emphasis on experimental validation and computational analysis, highlighting his significant role in advancing civil engineering research and education.

Research Skills

Gultekin Aktas possesses a diverse set of research skills that underline his expertise in civil engineering. His proficiency in utilizing advanced computational techniques is evident from his work with mass-spring models, artificial neural networks, and finite grid solutions, which he employs to analyze and predict the behavior of structural elements under various conditions. Aktas demonstrates strong technical abilities in developing and validating algorithms for concrete element design and structural dynamic analysis. His research often involves a blend of theoretical modeling and experimental validation, showcasing his capacity to integrate different methodologies to address complex engineering problems. Additionally, his capability to produce high-quality, peer-reviewed publications reflects his thorough understanding of structural engineering principles and computational methods. Aktas’s adeptness at applying both theoretical and practical approaches underscores his comprehensive skill set and contributes significantly to advancements in civil engineering research.

Award and Recognition

Gultekin Aktas has earned notable recognition for his contributions to civil engineering, particularly in the fields of structural dynamics and concrete behavior. His innovative research has been published in leading journals such as Structural Engineering and Mechanics and KSCE Journal of Civil Engineering, underscoring his impact on the field. Aktas’s work, including his studies on the behavior of fresh concrete under vibration and finite grid solutions for circular plates, has significantly advanced understanding and practical applications in structural engineering. Although specific awards or formal recognitions are not listed, his high-quality publications and influential research demonstrate a strong reputation among peers. Aktas’s contributions reflect his dedication to advancing engineering knowledge and solving complex problems, solidifying his standing as a respected researcher in his domain.

Conclusion

Gultekin Aktas is a strong candidate for the Research for Best Researcher Award. His diverse and innovative research contributions to civil engineering, coupled with his technical proficiency and publication record, demonstrate his significant impact in his field. While there are opportunities to broaden his research focus and enhance his collaborative efforts, Aktas’s accomplishments highlight his potential as a leading researcher. His continuous engagement in cutting-edge research and publication makes him a deserving candidate for this prestigious award.

Publications Top Notes

  1. Examination of Precast Concrete Movement Subjected to Vibration Employing Mass-Spring Model with Two Convective Masses
    • Authors: Aktas, G.
    • Journal: Shock and Vibration
    • Year: 2024
    • Citations: 0
  2. Displacement prediction of precast concrete under vibration using artificial neural networks
    • Authors: Aktas, G., Ozerdem, M.S.
    • Journal: Structural Engineering and Mechanics
    • Year: 2020
    • Volume: 74(4), pp. 559–565
    • Citations: 3
  3. Prediction of behavior of fresh concrete exposed to vibration using artificial neural networks and regression model
    • Authors: Aktas, G., Ozerdem, M.S.
    • Journal: Structural Engineering and Mechanics
    • Year: 2016
    • Volume: 60(4), pp. 655–665
    • Citations: 11
  4. Investigation of fresh concrete behavior under vibration using mass-spring model
    • Authors: Aktas, G.
    • Journal: Structural Engineering and Mechanics
    • Year: 2016
    • Volume: 57(3), pp. 425–439
    • Citations: 4
  5. A finite grid solution for circular plates on elastic foundations
    • Authors: Karaşin, H., Gülkan, P., Aktas, G.
    • Journal: KSCE Journal of Civil Engineering
    • Year: 2015
    • Volume: 19(4), pp. 1157–1163
    • Citations: 9
  6. Experimental confirmation for the validity of Ritz method in structural dynamic analysis
    • Authors: Aktas, G., Karasin, A.
    • Journal: Journal of Theoretical and Applied Mechanics (Poland)
    • Year: 2014
    • Volume: 52(4), pp. 981–993
    • Citations: 4
  7. Computer-aided mold design algorithm for precast concrete elements
    • Authors: Aktas, G., Tanrikulu, A.K., Baran, T.
    • Journal: ACI Materials Journal
    • Year: 2014
    • Volume: 111(1), pp. 77–87
    • Citations: 7