Dr. Jie Liu | Medicinal Plants | Best Researcher Award

Dr. Jie Liu | Medicinal Plants | Best Researcher Award

Dr. Jie Liu, a dedicated researcher at Taizhou University, Zhejiang Province, China, specializes in plant polyploid breeding with a significant focus on medicinal plant polyploids. Renowned for developing the innovative "primordial meristem method," she has made substantial contributions to understanding the cytological and molecular mechanisms of polyploids and their pharmacological enhancements. Her work bridges agricultural advancements and medicinal innovation, fostering solutions with global impact.

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Education 🎓

Dr. Jie Liu holds a PhD in Plant Science, with her doctoral research focusing on plant polyploid breeding. This specialization highlights her expertise in enhancing the genetic traits and pharmacological properties of medicinal plants. Following her PhD, she pursued post-doctoral research, delving deeper into the molecular mechanisms and cytological features of polyploid plants. Her advanced studies refined her scientific rigor and fostered innovative approaches to understanding and applying polyploidy in agriculture and pharmacology.

Experience 🧪

Dr. Liu has extensive experience in plant polyploid breeding research, contributing significantly to the development of techniques like the "primordial meristem method." Her role at Taizhou University involves both scientific exploration and mentoring the next generation of researchers.

Research Interests 🔬

Polyploid Breeding

Dr. Liu focuses on developing innovative methods to enhance plant productivity and improve the medicinal value of polyploid plants, pushing the boundaries of agricultural and pharmaceutical applications.

Cytological and Molecular Mechanisms

Her research investigates the genetic and molecular foundations of polyploid traits, providing critical insights into the biological processes driving these unique characteristics.

Pharmacological Applications

Dr. Liu explores how polyploidy influences the therapeutic properties of medicinal plants, aiming to optimize their pharmacological potential for broader medical and commercial use.

 

Publications 📚

In Vitro Induced Tetraploid Elsholtzia splendens Nakai ex F. Maek. Alters Polyphenol Species and Synthesis, Plants, Published: November 30, 2024, Contributors: Jie Liu, Dang Yang, Xin Li, Zexin Jin, Junmin Li. Link

Deciphering the Effect Mechanism of Chromosome Doubling on the Biomass Increase in Elsholtzia splendens, Scientia Horticulturae, Published: February 2024, Contributors: Jie Liu, Dang Yang, Xin Li, Zexin Jin, Junmin Li. Link

Comparative Physiology and Transcriptome Analysis Reveals the Regulatory Mechanism of Genome Duplication Enhancing Cold Resistance in Fragaria nilgerrensis, Environmental and Experimental Botany, Published: August 2021, Contributors: Jie Liu, Junmin Li, Chengxin Fu. Link

 

 

 

Mr. Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Mr. Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Nanjing University of Science and Technology, China

Muhammad Ahsan Saleem is a dedicated Mechatronics Engineer and interdisciplinary researcher based in Nanjing, China. He specializes in leveraging his creativity, technical expertise, and collaborative mindset to solve complex engineering challenges, with a focus on cutting-edge technologies such as 3D printing, machine learning, and advanced manufacturing techniques.

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Education 📚

Muhammad Ahsan Saleem is a highly accomplished engineer pursuing his Doctor of Engineering in Mechanical Engineering at Nanjing University of Science and Technology (NUST), China (2020–Present). His doctoral research emphasizes advanced manufacturing techniques, including 3D printing and machine learning applications in mechanical engineering.

Previously, he earned his Master of Engineering in Mechanical Engineering from NUST, China (2015–2018), where he deepened his expertise in precision engineering and experimental design, particularly focusing on innovative solutions for multi-material fabrication.

His academic journey began with a Bachelor of Science in Mechatronics Engineering from the University of Engineering and Technology (UET), Pakistan (2009–2013). During his undergraduate years, he explored interdisciplinary approaches to mechanical systems, robotics, and automation, laying a solid foundation for his advanced studies.

Experience 💼

Researcher | Nanjing University of Science and Technology, China (2020–Present)
Muhammad Ahsan Saleem is actively engaged in cutting-edge research focused on 3D printing, inkjet technologies, and the application of machine learning to optimize manufacturing processes. He has developed innovative experimental setups to analyze and enhance jetting behaviors for high-viscosity inks, leading to advancements in multi-material 3D printing for functional electronics such as resistors.

Mechatronics Engineer | Enginesound Automation Technology, Shanghai, China (2019–2020)
At Enginesound Automation Technology, he designed advanced calibration devices for textile machinery, utilizing Micro-Epsilon capacitive sensors. He also developed Android applications that integrated Bluetooth technologies to enable wireless data transfer and seamless system connectivity, showcasing his ability to bridge mechanical systems with digital solutions.

Trainee Engineer | Attock Refinery Limited, Pakistan (2013–2015)
During his tenure at Attock Refinery Limited, Muhammad ensured HVAC systems adhered to engineering standards and codes, maintaining precise documentation of processes. His role emphasized the importance of compliance and quality control in industrial systems.

Research Interests 🔬

Advanced Manufacturing: 3D Printing and Inkjet Technologies

Muhammad Ahsan Saleem specializes in exploring innovative approaches to 3D printing, focusing on inkjet-based technologies. His work emphasizes optimizing jetting behaviors for high-viscosity inks and advancing multi-material printing techniques, enabling the creation of complex functional components.

Machine Learning Applications in Engineering

He integrates machine learning algorithms into experimental and data-driven frameworks to enhance manufacturing precision. This includes predicting printing outcomes, optimizing parameters, and automating processes for greater efficiency and accuracy.

Structural Analysis of Multi-Material Components

Ahsan conducts structural investigations of multi-material components produced via advanced manufacturing methods. His expertise includes analyzing material properties and ensuring precision through techniques like scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS).

Functional Electronics and Material Science

His research also focuses on the development of functional electronics, such as resistors, through innovative material compositions. By combining conductive and insulating materials, he achieves precise resistivity levels and enhances the performance of printed electronic devices.

Awards & Certifications 🏆

Computer Vision and Image Processing Fundamentals (edX | IBM, 2024)

Machine Learning with Python (edX | IBM, 2022)

Python Data Structures (Coursera | University of Michigan, 2021)

Chinese for HSK 2 (Coursera | Peking University, 2021)

Registered Engineer (Pakistan Engineering Council, 2014)

Publications 📝

"A Novel Data-Driven Formulation for Predicting Jetting States and Printing Zones of High-Viscosity Nano-Silver Ink in Inkjet-Based 3D Printing" (Precision Engineering, November 2024, In Press). Link

"Influence of Silicon Carbide on Direct Powder Bed Selective Laser Process (Sintering/Melting) of Alumina" Published in Materials (2022, 15[2], 637). Cited by: 09 articles. Link

"Quantized Event-Triggered Feedback Control under Fuzzy System with Time-Varying Delay and Actuator Fault" Published in Nonlinear Analysis: Hybrid Systems (2020, Volume 35). Cited by: 16 articles. Link

 

 

Assoc. Prof. Dr. YiWei Li | Electrochemistry | Best Researcher Award

Assoc. Prof. Dr. YiWei Li | Electrochemistry | Best Researcher Award

Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), China

Dr. Yiwei Li is a Researcher at Qilu University of Technology, China. He completed his Ph.D. at the Institute of Virology, Chinese Academy of Sciences. During the outbreak of COVID-19, he served as an expert member of the anti-epidemic efforts in Jinan city. Dr. Li has authored over 10 peer-reviewed research and review papers (as first or corresponding author) in the past five years. Additionally, he is the incorporator and vice-general manager of Guozhong Electronic Information (Shandong) Co. Ltd. His current research interests focus on analytical electrochemistry, environmental analysis, and biosensing technology.

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Education 🎓

Dr. Yiwei Li earned his Ph.D. from the prestigious Institute of Virology, Chinese Academy of Sciences. His academic journey has provided him with deep expertise in areas that blend biology, electrochemistry, and environmental sciences, which form the foundation for his current research work.

Experience 💼

Dr. Li has extensive professional experience as a researcher and as an expert member in public health initiatives, notably contributing to the COVID-19 anti-epidemic efforts in Jinan. In addition to his academic role, he is an incorporator and vice-general manager at Guozhong Electronic Information (Shandong) Co. Ltd., merging research with industry to drive innovation in electrochemistry and biosensing technology.

Research Interests 🔬

Analytical Electrochemistry ⚡
Dr. Yiwei Li’s research in analytical electrochemistry focuses on developing advanced electrochemical methods for detecting various substances, including environmental pollutants. This area has significant implications for improving the accuracy and efficiency of environmental monitoring.

Environmental Analysis 🌍
His work in environmental analysis aims to create innovative techniques for detecting pollutants in different ecosystems. This research plays a vital role in addressing environmental contamination and contributing to sustainable solutions for pollution management.

Biosensing Technology 🧬
Dr. Li is dedicated to improving biosensing technologies, which are crucial for rapid and reliable detection of biological markers. His efforts are aimed at advancing diagnostic tools for public health, enabling early disease detection and monitoring environmental factors impacting human health.

Publications Top Notes 📚

The value of electrochemical ratiometry in immunosensing: A systematic study. Biosensors and Bioelectronics, 2025,

Contributors: Jin Song, Rui Gong, Shibo Song, Ghulam Abbas, Yaohong Ma, Yiwei Li. Link

A graphene microelectrode array based microfluidic device for in situ continuous monitoring of biofilms. Nanoscale Advances, 2023

Contributors: Jin Song, Ashaq Ali, Yaohong Ma, Yiwei Li. Link

Electrochemical ratiometry: A new route towards bioaffinity-based in vitro diagnostics. Journal of Electroanalytical Chemistry, 2023-09

Contributors: Jin Song, Ghulam Abbas, Ashaq Ali, Yaohong Ma, Yiwei Li. Link

Facile strategy to construct porous CuO/CeO2 nanospheres with enhanced catalytic activity toward CO catalytic oxidation at low temperature. Applied Nanoscience, 2023-06

Contributors: Yunwei Wei, Yiwei Li, Dianfeng Han, Jian Liu, Shujuan Lyu, Chunhui Li, Yang Tan, Zhikang Wang, Jiafeng Yu. Link

Recent progress in the electrochemical quantification of nitrophenols. Journal of Electroanalytical Chemistry, 2023-06

Contributors: Shuo Wang, Yiwei Li, Jin Song, Jinheng Zhang, Yaohong Ma. Link

 

 

Ms. Yaqi Xiao | Environmental Science | Best Researcher Award

Ms. Yaqi Xiao | Environmental Science | Best Researcher Award

Sun Yat-sen University, China

Xiao Yaqi is a master's student at Sun Yat-sen University's School of Geography and Planning, specializing in National Space Planning and Smart Urban and Rural Construction. A dedicated scholar and a passionate community contributor, she brings a strong interdisciplinary foundation in marine science and geography to her academic and project work. Xiao is recognized for her outstanding achievements, having won several prestigious awards and scholarships, and she actively participates in cultural, academic, and volunteer activities.

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Education 🎓

Ms. Xiao Yaqi is pursuing a Master’s degree in Geography and Planning (2022-2025) at Sun Yat-sen University, Guangzhou, where her studies focus on cutting-edge topics like Big Data and Spatial Analysis and Machine Learning in Geoscience Applications. She previously earned a Bachelor’s degree in Marine Sciences (2018-2022) from the same institution in Zhuhai, achieving a GPA of 3.9/5.0 and ranking among the top 7% of her class.

Experience 💼

Ms. Xiao Yaqi has gained diverse experience through her roles in research, teaching, and student leadership. At the Guangdong Provincial Marine Development Planning Research Center (2024.07-2024.09), she conducted island planning and ecological protection research, delivering a detailed analysis report. Her involvement in Zhuhai marine economy projects (2024.01-2024.09) focused on carbon emissions, green industry upgrades, and economic development, leading to impactful policy recommendations. Additionally, as an Undergraduate Teaching Assistant (2022.09-2023.09), she supported courses on Human Geography and Big Data Applications, efficiently managing course materials and assignments. Her five-year commitment to Sun Yat-sen University’s Student Union (2018-2023) saw her organizing cultural and academic events, significantly enriching campus life.

Research Interests 🔬

Urban and Regional Planning

Focused on smart city development, Ms. Xiao Yaqi explores innovative approaches to urban management, integrating technology and sustainable practices to enhance urban functionality and resilience.

Marine Science and Economy

Her expertise extends to marine science, with an emphasis on carbon emissions reduction, ecological sustainability, and fostering green industry upgrades to support the blue economy.

GIS and Remote Sensing Applications

Proficient in GIS and remote sensing technologies, Ms. Xiao applies these tools in geography and marine studies to analyze spatial patterns and inform data-driven decision-making.

Awards 🏆

Sun Yat-sen University Scholarship First Prize (2022)

Outstanding Student Third Prize (2019, 2020, 2021)

Star Volunteer (2022, 2023)

Publication 📚

Impact of Turbidity on Satellite-Derived Bathymetry: Comparative Analysis Across Seven Ports in the South China Sea

Journal: Remote Sensing; Publication Date: November 2024; Contributors: Chunzhu Wei, Yaqi Xiao, Dongjie Fu, Tingting ZhouLink. Link

 

 

 

Dr. Chen Cui | Biochemistry | Best Researcher Award

Dr. Chen Cui | Biochemistry | Best Researcher Award

Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-Sen University, China

Cui Chen, an Assistant Researcher at the Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-Sen University, specializes in the development and regeneration of orofacial bones. With a focus on mesenchymal stem cells and their role in bone remodeling and tooth eruption, Cui has contributed extensively to the understanding of mandibular growth and alveolar bone formation. His impactful research includes high-impact publications and innovative findings in the field of stomatology.

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Education 🎓

Dr. Chen Cui earned his Ph.D. in Stomatology from Sichuan University (2017–2020), where he conducted in-depth research on orofacial bone development and mesenchymal stem cell mechanisms in mandibular growth. Prior to this, he completed his Bachelor of Dental Surgery (BDS) at Sichuan University (2012–2017), gaining a strong foundation in dental sciences and clinical practice. His academic journey has been marked by a commitment to advancing knowledge in stomatology and regenerative dentistry.

Experience 💼

Dr. Chen  currently serves as an Assistant Researcher at the Hospital of Stomatology, Sun Yat-Sen University (2020–Present), where he focuses on groundbreaking studies in orofacial bone development and regeneration. Previously, he was a Postdoctoral Research Fellow at the same institution (2020–2022), during which he contributed significantly to projects exploring the molecular and cellular mechanisms underlying bone formation and repair. His roles demonstrate a continuous trajectory of excellence and dedication to advancing dental and craniofacial research.

Research Interests 🔬

Development and Regeneration of Orofacial Bones 🦷

Chen Cui's research delves deeply into the intricate processes of orofacial bone development and regeneration. His work aims to unravel the cellular and molecular pathways that govern the growth, repair, and restoration of craniofacial structures, addressing critical challenges in dental and craniofacial health.

Mechanisms of Mesenchymal Stem Cells in Bone and Tooth Formation 🔬

A significant focus of his studies is on mesenchymal stem cells (MSCs) and their pivotal role in the formation of bones and teeth. By exploring how MSCs contribute to tissue differentiation and regeneration, Chen Cui seeks to enhance therapeutic strategies for bone and dental restoration.

Alveolar Bone Remodeling in Inflammatory Environments 🌟

Chen Cui has investigated the impact of inflammation on alveolar bone remodeling, shedding light on how environmental factors influence bone integrity. His findings offer insights into improving treatment outcomes for conditions like periodontitis and bone loss associated with inflammatory disorders.

The Role of Parathyroid Hormone Signaling in Dental Development 🧬

Exploring the parathyroid hormone (PTH) signaling pathway, Chen Cui has identified its critical role in regulating dental development and tooth eruption. His research on PTH signaling contributes to a deeper understanding of bone health and has implications for treating dental anomalies and diseases.

Awards & Recognitions 🏆

Recipient of the National Natural Science Foundation of China Grant

Funded by the China Postdoctoral Science Foundation

Recognized by the Guangdong Basic and Applied Basic Research Foundation

Publications Top Notes 📚

PTH1R Suppressed Apoptosis of Mesenchymal Progenitors in Mandibular Growth (2024), International Journal of Molecular Sciences. Link

Klotho in Osx+ Mesenchymal Progenitors Exerts Pro-Osteogenic Effects (2022), Signal Transduction and Targeted Therapy. Cited by: 28. Link

Dental Follicle Progenitor/Stem Cells: Mechanisms to Applications (2021), Biomolecules. Cited by: 34. Link

Fibrocartilage Stem Cells in Temporomandibular Joints (2021), Frontiers in Cell and Developmental Biology Cited by: 9. Link

Role of PTH1R Signaling in Prx1+ Mesenchymal Progenitors during Eruption (2020), Journal of Dental Research Cited by: 27. Link

 

 

 

Assist. Prof. Dr. Mohamed A. Karali | Engineering | Best Researcher Award

Assist. Prof. Dr. Mohamed A. Karali | Engineering | Best Researcher Award

Future University, Egypt

Dr. Eng. Mohamed A. Karali is an Assistant Professor at the Department of Mechanical Engineering, Faculty of Engineering and Technology, Future University in Egypt. With a Ph.D. in Mechanical Engineering from Otto-von-Guericke University Magdeburg, Germany, he specializes in thermo-fluid sciences and renewable energy applications. He has extensive experience in experimental work, modeling, and simulation using advanced tools like ANSYS and MATLAB.

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Education 🎓

Dr. Mohamed A. Karali holds a Ph.D. in Mechanical Engineering from Otto-von-Guericke University Magdeburg, Germany (2015), where his thesis focused on the analysis of axial transport and heat transfer in a flighted rotary drum under optimal loading conditions. He earned his M.Sc. in Mechanical Engineering in 2007 from the Faculty of Engineering, Helwan University, Cairo, Egypt, with a thesis evaluating the performance of vapor compression refrigeration systems using environmentally safe alternatives to R22. Dr. Karali completed his B.Sc. in Mechanical Engineering at the same institution in 2001, with a graduation project analyzing condensation characteristics of R22 and its eco-friendly substitutes. His academic journey reflects a strong emphasis on thermodynamic systems and environmentally sustainable engineering solutions.

Experience 🛠️

Dr. Mohamed A. Karali has been serving as an Assistant Professor in the Department of Mechanical Engineering at Future University in Egypt since 2015. Prior to this role, he contributed as a Ph.D. researcher and tutor at Otto-von-Guericke University Magdeburg, Germany, from 2012 to 2015, where he conducted advanced research in mechanical engineering. From 2008 to 2012, he worked as an Assistant Lecturer at the Faculty of Engineering, Future University in Egypt. His earlier career includes experience as a researcher and tutor at the Faculty of Engineering, Helwan University, Egypt, from 2002 to 2007, showcasing his extensive academic and research expertise.

Research Interests 🔬

Thermo-Fluid Sciences

Expertise in heat transfer mechanisms within HVAC systems, focusing on enhancing energy efficiency and performance.

 Granular Materials Processing

Investigations into the dynamics and thermal behaviors of materials in rotary kilns, dryers, and coolers for industrial applications.

 Renewable Energy Systems

Researching sustainable energy solutions, including system design and application for improved environmental outcomes.

 Image Processing for Experimental Studies

Utilization of advanced image analysis techniques to support experimental research, enhancing accuracy and data interpretation.

Awards 🏆

First Prize: Joint Conference of 5th UK-China and 13th UK Particle Technology Forum, 2015.

Recipient of multiple research grants and industrial collaborations in energy and heat transfer projects.

Publications Top Notes 📚

Karali, M. A., et al. Comparison of using air, CO2, and helium for the cooling of square-shaped electronic parts CFD study with entropy generation analysis. Thermal Science, 2024. Link

Karali, M. A., et al. Numerical investigation of thermal performance enhancement of pin fin heat sink using wings with different angles. Ain Shams Engineering Journal, 2024. Link

Karali, M. A., et al. CFD study on the effect of tube diameter and count on flow distribution uniformity in a Z disposition. Thermal Science, 2023. Link

Karali, M. A., et al. Fluid flow characteristics for four lattice settings in brick tunnel kiln: CFD simulations. Buildings MPDI, 2023. Link

Karali, M. A., et al. Effect of surface roughness of a staggered tube bank in cross flow with air on heat transfer and pressure drop. Case Studies in Thermal Engineering, 2023. Link

 

 

Assist. Prof. Dr. Nihan Osmanağaoğlu | Psychology | Best Researcher Award

Assist. Prof. Dr. Nihan Osmanağaoğlu | Psychology | Best Researcher Award

Amasya University, Turkey

Nihan Osmanagaoglu is an Assistant Professor at Amasya University, Faculty of Education, specializing in psychological research and counseling. With a robust background in clinical mental health counseling, her research primarily focuses on childhood anxiety, intolerance of uncertainty, and trauma-related mental health challenges. She has gained extensive international experience, having earned her Ph.D. from the University of Reading in the UK, where she investigated the interplay of intolerance of uncertainty and anxiety in children and adolescents.

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Education 🎓

Nihan Osmanagaoglu completed her Ph.D. in Psychology at the University of Reading, UK, between 2014 and 2018. Her thesis focused on Intolerance of Uncertainty, Anxiety, and Worry in Children and Young People: Improving Assessment on Intolerance of Uncertainty in Preadolescent Children, supervised by Prof. Dr. Helen F. Dodd and Prof. Dr. Cathy Creswell. Prior to this, she earned both an M.S. and Ed.S. in Clinical Mental Health Counseling from Florida State University, USA, during 2011-2013. She also holds a B.S. in Psychology from Hacettepe University, Ankara, Turkey (2005-2009).

Work Experience 💼

Dr. Nihan Osmanagaoglu currently serves as an Assistant Professor at Amasya University, Turkey (Nov 2020 – Present), where she teaches courses such as Psychopathology, Trauma Counseling, Child Abuse & Neglect, and Counseling Theories. She also supervises master's thesis research on topics related to secondary trauma, transdiagnostic factors, and post-traumatic growth. Prior to this, she was a Lecturer at Amasya University (Mar 2019 – Nov 2020), teaching courses in Developmental Psychology, Guidance in Schools, Child Abuse & Neglect, and Geriatric Psychology. Dr. Osmanagaoglu began her academic career as a Teaching Assistant at the University of Reading, UK (2014 – 2018), assisting with courses on Applied Psychology, Perception, and Developmental Psychology. In addition to her academic roles, she worked as an Intern Therapist at Florida State University, USA (2012 – 2013), providing counseling to children and adolescents and utilizing animal-assisted therapy and art therapy.

Research Interests 🔬

Intolerance of Uncertainty in Children and Adolescents

Her research explores how intolerance of uncertainty impacts the psychological development of children and adolescents, particularly in relation to anxiety, worry, and emotional regulation.

Trauma and Post-Traumatic Growth

Dr. Osmanagaoglu examines the effects of trauma and the process of post-traumatic growth, with a particular focus on comparing the experiences of LGBT+ individuals to those of heterosexual individuals.

Anxiety and Worry in Young People

She investigates the links between anxiety, worry, and emotional regulation, focusing on how these factors influence long-term mental health outcomes in children and adolescents.

Development of Assessment Tools

Dr. Osmanagaoglu is involved in the development of novel assessment tools designed to evaluate and address anxiety and uncertainty in children and young people, improving diagnostic and therapeutic approaches.

Publications 📚

Development of a Behavioral Measure of Intolerance of Uncertainty in Preadolescent Children: Adaptation of the Beads Task, Journal: Journal of Behavior Therapy and Experimental Psychiatry. Date: September 2021.  Link

Evaluating the Psychometric Properties of the Intolerance of Uncertainty Scale for Children in a Preadolescent Sample, Journal: Journal of Anxiety Disorders. Date: January 2021. Link

Intolerance of Uncertainty, Anxiety, and Worry in Children and Adolescents: A Meta-analysis, Journal: Journal of Affective Disorders, Date: January 2018. Link

 

 

 

Assoc. Prof. Dr. Mehmet Cengiz KARAİSMAİLOĞLU | Plant taxonomy | Best Researcher Award

Assoc. Prof. Dr. Mehmet Cengiz KARAİSMAİLOĞLU | Plant taxonomy | Best Researcher Award

Bartın University, Turkey

Mehmet Cengiz Karaismailoğlu is an Associate Professor specializing in molecular biology and botany. He currently serves at Bartin University in the Department of Molecular Biology and Genetics. His academic journey reflects a strong focus on systematic and molecular studies of plant taxa, particularly within the Brassicaceae family. With numerous publications, awards, and projects to his name, he is an active contributor to biosystematics and environmental biodiversity research.

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Education 🎓

Dr. Mehmet Cengiz Karaismailoğlu holds a Ph.D. in Biology, which he earned in 2018 from Istanbul University. His doctoral thesis focused on the Systematic Research on Certain Taxa of Thlaspi L. (Brassicaceae), a significant contribution to plant taxonomy and molecular biology. Prior to his Ph.D., Dr. Karaismailoğlu completed a Master’s Degree in Biology in 2013 at Karadeniz Technical University, where his research explored the mutagenic effects of pesticides on sunflower root tip cells. He began his academic journey at Siirt University, where he obtained his Bachelor’s Degree in Biology in 2009. His academic background underscores his deep commitment to advancing the field of biology, particularly in plant systematics and environmental biology.

Experience 🏛️

Dr. Mehmet Cengiz Karaismailoğlu is currently serving as an Associate Professor at Bartin University since 2022, where he contributes to both teaching and research in the field of biology. Prior to this, he was an Associate Professor at Siirt University from 2020 to 2022, where he further developed his expertise in plant biology and environmental studies. His academic journey began as a research assistant at Istanbul University from 2013 to 2018, where he worked on various research projects that led to his Ph.D. studies. Earlier, Dr. Karaismailoğlu gained valuable experience as a research assistant at Karadeniz Technical University between 2011 and 2013, as well as at Siirt University in 2011. His progression through different academic institutions reflects his dedication to advancing scientific knowledge and education in biology.

Research Interests 🔬

Biosystematics and Taxonomy

Dr. Mehmet Cengiz Karaismailoğlu’s research in biosystematics and taxonomy primarily revolves around the Brassicaceae family. He has conducted detailed studies on the systematic relationships within this plant family, employing molecular tools to explore genetic diversity and evolutionary history. His work contributes to a deeper understanding of plant classification and the identification of new species within the Brassicaceae family.

Plant Morphology

Dr. Karaismailoğlu also specializes in plant morphology, with a particular focus on the seed and fruit structures of various plant species. His research investigates the development, characteristics, and functional adaptations of seeds and fruits, which are essential for understanding plant reproduction, dispersal mechanisms, and ecological interactions.

Ecological Studies

In the realm of ecological studies, Dr. Karaismailoğlu conducts extensive biodiversity inventories and conservation research within Turkish ecosystems. His work aims to identify and document the diversity of plant species in various ecological zones, contributing to efforts aimed at the conservation and sustainable management of these ecosystems.

Awards 🏆

Publication Encouragement Awards (2014–2019): TÜBİTAK.

2211-A Doctoral Scholarship (2013): TÜBİTAK.

Publications Top Notes 📚

Biosystematics Studies of Endemic Thlaspi violascens Boiss. and T. densiflorum Boiss. & Kotschy: Highlights on Molecular and Morphological Identification, Published: November 2024. Journal: Flora

Contributors: Mehmet Cengiz Karaismailoğlu, Vahap Eldem, Behcet İnal, Mehmet Ali Balcı. Link

Seed Morphology of 31 Euphorbia L. Species (Euphorbiaceae) in Turkey and Their Taxonomic Significance, Published: November 2024, Journal: Microscopy Research and Technique

Contributors: Aysun Patterson, Mehmet Cengiz Karaismailoğlu, Orhan Küçüker. Link

Thlaspi harungalipii (Brassicaceae), A New Species from Turkey, Published: December 2023, Journal: Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Contributors: Cengiz Karaismailoğlu. Link

Cytotoxic and Genotoxic Effects of Oxyfluorfen on The Somatic Cells of Allium cepa, Published: 2022, Journal: Ksu Tarim ve Doga Dergisi-ksu Journal of Agriculture and Nature

Contributors: Karaismailoğlu, Cengiz. Link

Practicality of Seed Morpho-anatomical Characters for the Identification of Species Alyssum (Brassicaceae) in Turkey: A Systematic Approach, Published: 2022, Journal: Ksu Tarim ve Doga Dergisi-ksu Journal of Agriculture and Nature

Contributors: Karaismailoğlu, Mehmet Cengiz. Link

 

 

 

Dr. Lane Schultz | Atomic Modeling | Best Researcher Award

Dr. Lane Schultz |Atomic Modeling | Best Researcher Award

University of Wisconsin-Madison, United States

Lane E. Schultz, Ph.D. is a materials scientist and engineer specializing in computational materials science, with a focus on machine learning applications in materials research. He recently completed his Ph.D. at the University of Wisconsin-Madison and has a robust portfolio in high-performance computing, metallic glass research, and advanced simulations. Lane is skilled in various programming languages and tools, such as Python, C++, Docker, and Linux, contributing to his success in both academic and industry projects.

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Education 🎓

Lane earned his Ph.D. in Materials Science and Engineering from the University of Wisconsin-Madison in 2024, with a GPA of 3.70/4.0. Prior to that, he completed his M.S. in Materials Science and Engineering at the same institution in 2020, also with a 3.70 GPA. He began his academic career with a B.S. in Engineering from Fort Lewis College in 2017, graduating with a stellar GPA of 3.99/4.0. Lane’s academic journey has been marked by excellence, earning multiple awards for his scholarly achievements.

Experience 🛠️

Lane has extensive research experience, including a pivotal role as a Research Assistant at the Computational Materials Group at UW-Madison (2018-2024). During this time, he contributed to the development of a domain of applicability method for machine learning models in materials science, enabling better prediction of material properties. Additionally, he was instrumental in constructing and managing scientific computing clusters and developed a high-throughput workflow to model metallic glass forming ability. Lane’s experience also extends to hands-on experimental work during his Summer Undergraduate Research Fellowships at Purdue and Fort Lewis College, where he developed Python tools and designed sensor packages.

Research Interests 🔬

1. Machine Learning for Materials Property Prediction & Applicability Domain Assessment
Lane’s research focuses on integrating machine learning techniques to predict material properties more accurately and efficiently. A significant part of his work involves developing methods to assess the applicability domain of these machine learning models, ensuring that predictions are reliable and robust across different datasets. This approach helps identify the boundaries within which models can make accurate predictions, enhancing the trustworthiness of AI-driven materials science.

2. High-Throughput Simulations for Metallic Glass Formation
Lane specializes in using high-throughput simulations to explore the formation of metallic glasses. By leveraging large-scale computational models, he aims to predict critical cooling rates and other factors that influence glass formation. His work in this area contributes to a deeper understanding of the atomic-level behaviors that dictate the properties of metallic glasses, which are essential for developing new materials with unique mechanical and thermal properties.

3. Materials Informatics for Data-Driven Methodologies
Combining his expertise in computational materials science and informatics, Lane develops data-driven methodologies to accelerate materials discovery. His research in materials informatics involves building algorithms that can extract patterns and insights from extensive materials datasets. By applying these insights, Lane helps streamline the process of identifying novel materials with desirable properties, pushing the boundaries of what’s possible in materials engineering.

Awards 🏆

PPG Fellowship, University of Wisconsin-Madison

Ying Yu Chuang Graduate Support Award, UW-Madison

Sigma Pi Sigma, Physics Honor Society

Order of the Engineer, Fort Lewis College

Dean’s Council Freshman 4.0 Award, Fort Lewis College

Publications Top Notes 📚

Machine learning metallic glass critical cooling rates through elemental and molecular simulation-based featurization. Journal of Materiomics (2024). Link

Molecular dynamic characteristic temperatures for predicting metallic glass forming ability. Computational Materials Science (2022). Link

Accelerating ensemble uncertainty estimates in supervised materials property regression models. Computational Materials Science (2025). Link

Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Journal of Open Source Software (2024). Link

Machine Learning Prediction of the Critical Cooling Rate for Metallic Glasses from Expanded Datasets and Elemental Features. Chemistry of Materials (2022). Link

 

 

 

Prof. Dr. Dimitrios Sophianopoulos | Civil Engineering | Best Researcher Award

Prof. Dr. Dimitrios Sophianopoulos | Civil Engineering | Best Researcher Award

Department of Civil ENgineering/University of Thessalu, Greece

Prof. Dr. Dimitrios S. Sophianopoulos is a renowned Professor at the Department of Civil Engineering, University of Thessaly, known for his pioneering work in structural engineering, earthquake dynamics, and nonlinear analysis. With over 42 years of professional experience, he has made substantial contributions to academia, industry, and research, bridging the gap between theory and practical applications in civil engineering.

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Education 🎓

Prof. Sophianopoulos holds a Ph.D. in Civil Engineering, which laid the foundation for his impactful research career. His educational background is enriched with advanced studies in structural stability and dynamic response, focusing on optimizing the design and safety of civil structures.

Experience 🏢

With more than four decades of experience, Prof. Sophianopoulos has supervised numerous Diploma, Master’s, and Ph.D. theses. He has also served as an editor for several high-impact journals and contributed to over 60 consultancy projects in collaboration with engineers and architects worldwide. His professional engagements include teaching as a visiting scholar in Russia and consulting for the steel industry in China.

Research Interests 🔬

Nonlinear Elastic and Plastic Analysis of Steel Structures 🔧

Prof. Sophianopoulos’ research in this area focuses on the nonlinear behavior of steel structures under various load conditions. He explores both elastic and plastic deformation mechanisms, which are essential for understanding the performance and failure modes of steel in real-world applications. This research contributes to the design optimization of structures, ensuring they can withstand extreme conditions while maintaining structural integrity.

Stability Analysis of Bridges and Offshore Structures 🌉

Another significant area of Prof. Sophianopoulos' research is the stability analysis of bridges and offshore structures. This includes both static and dynamic stability assessments, considering factors such as environmental loads, seismic activity, and material degradation. The goal is to develop safety guidelines and design protocols that improve the durability and performance of critical infrastructure, ensuring public safety and operational efficiency.

Earthquake Engineering – Static and Dynamic Stability 🌍

Prof. Sophianopoulos is dedicated to advancing earthquake engineering, particularly in the analysis and design of structures to withstand seismic events. His work on static and dynamic stability addresses the structural response to seismic forces, including ground motion effects and vibration control. This research is crucial for enhancing the earthquake resistance of buildings and infrastructures, minimizing damage, and saving lives during natural disasters.

Masonry Structures and Greenhouse Design 🏠

Prof. Sophianopoulos also investigates the structural performance of masonry and greenhouses. His research in masonry structures focuses on improving the design and safety of these traditional buildings, which are widely used in urban and rural environments. Additionally, he has worked extensively on the design and analysis of commercial greenhouses, particularly those made of steel, aluminum, and wood. His work in this area supports sustainable agricultural practices, ensuring that greenhouses are not only functional but also optimized for energy efficiency and durability.

Innovative Solutions for Structural Resilience and Sustainability 🏗️

Prof. Sophianopoulos’ overarching aim is to develop innovative engineering solutions that enhance structural resilience and sustainability. Whether in the context of earthquake engineering, bridge stability, or greenhouse design, his work seeks to create structures that are safe, efficient, and environmentally friendly, contributing to long-term sustainability and safety in civil engineering.

Awards & Recognitions 🏆

Prof. Sophianopoulos’ excellence in research and teaching has earned him recognition across various engineering societies, including membership in prestigious organizations like the American Society of Civil Engineers (ASCE), Structural Stability Research Council (SSRC), and the International Society of Computational Engineering and Sciences (ISCES).

Publications Top Notes 📚

Mathematical Macromodeling of Infilled Frames: State of the Art,

Authors: PG Asteris, ST Antoniou, DS Sophianopoulos, CZ Chrysostomou,

Journal: Journal of Structural Engineering, Volume/Issue: 137(12), 1508-1517, Year: 2011, Cited By: 455. Link

The Effect of a Moving Mass and Other Parameters on the Dynamic Response of a Simply Supported Beam

Authors: G Michaltsos, D Sophianopoulos, AN Kounadis

Journal: Journal of Sound and Vibration

Volume/Issue: 191(3), 357-362, Year: 1996, Cited By: 280. Link

Steel Beam-to-Column RBS Connections with European Profiles: I. Static Optimization

Authors: DS Sophianopoulos, AE Deri

Journal: Journal of Constructional Steel Research

Volume/Issue: 139, 101-109, Year: 2017, Cited By: 72. Link

The Effect of Joint Flexibility on the Free Elastic Vibration Characteristics of Steel Plane Frames

Author: DS Sophianopoulos

Journal: Journal of Constructional Steel Research

Volume/Issue: 59(8), 995-1008, Year: 2003, Cited By: 51. Link

Parameters Affecting Response and Design of Steel Moment Frame Reduced Beam Section Connections: An Overview

Authors: DS Sophianopoulos, AE Deri

Journal: International Journal of Steel Structures

Volume/Issue: 11, 133-144, Year: 2011, Cited By: 45. Link