Viktoriya Kryuchkova | Horticultural | Best Researcher Award

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Dr. Viktoriya Kryuchkova | Horticultural | Best Researcher Award

leading scientific researcher, N.V. Tsitsin Main Botanical Garden of Russian Academy of Science, Russia

Dr. Viktoriya Kryuchkova, born in 1978, is a highly regarded Russian scientist and educator in horticulture, specializing in fruit and vegetable growing, ornamental horticulture, and biotechnology. She graduated from the Moscow Agricultural Academy in 2000, and since then, has worked in various academic and research roles, primarily focusing on plant breeding and micropropagation. Her significant contributions to the study of ornamental plants, including lilacs, have earned her recognition in the scientific community. Dr. Kryuchkova has supervised over 120 undergraduate and postgraduate students, and her work in biotechnological plant techniques has led to multiple patents. With over 20 years of experience in scientific and pedagogical fields, Dr. Kryuchkova currently serves as the Deputy Director for Scientific Work at the N.V. Tsitsin Main Botanical Garden of the Russian Academy of Sciences.

Profile

Education

Dr. Kryuchkova’s academic journey began with her graduation from the Moscow Agricultural Academy (now the Russian State Agrarian University) in 2000. She obtained her degree in agronomy, specializing in fruit and vegetable growing and viticulture. In the following year, she joined the Department of Breeding and Seed Production of Fruit and Vegetable Crops as a research intern. Continuing her pursuit of academic excellence, she entered postgraduate studies in 2001. Her research led to a PhD (Candidate of Biological Sciences) in 2005, where she focused on the biotechnological optimization of microclonal reproduction and adaptation of lilac genotypes. Dr. Kryuchkova’s robust academic background also includes the title of Associate Professor, which she earned in 2011. She has collaborated in publishing two textbooks, further demonstrating her commitment to advancing education in horticulture and landscape design.

Experience 

Dr. Kryuchkova boasts over 22 years of scientific and pedagogical experience. Her career in the academic world began in 2000, when she started as a research intern and progressed through roles such as assistant and associate professor. From 2004 to 2006, she led the Botanical Garden of the Russian State Agricultural Academy, enhancing her managerial and leadership skills. In 2011, she was awarded the title of Associate Professor at the Department of Ornamental Horticulture and Lawn Science. Her expertise extends to serving as the head of the laboratory at the N.V. Tsitsin Main Botanical Garden of the Russian Academy of Sciences, where she has been a leading researcher since 2013. Dr. Kryuchkova also currently holds the position of Deputy Director for Scientific Work at the same botanical garden, focusing on advancing scientific initiatives. Her extensive experience includes mentoring students, publishing research, and innovating in plant breeding and biotechnology.

Research Focus 

Dr. Kryuchkova’s research focus centers on the intersection of plant biotechnology and horticulture, particularly in the areas of micropropagation, ornamental plant breeding, and biotechnological improvements in fruit and vegetable crops. She is renowned for her work on optimizing clonal reproduction of plants, specifically common lilacs (Syringa vulgaris), using biotechnological techniques. Her studies have expanded into the breeding of blackberry varieties, focusing on their growth, development, and adaptability to various environments. Additionally, Dr. Kryuchkova investigates the genetic diversity and symmetries in plant traits to improve cultivation methods. Her work is critical for advancing agricultural and horticultural practices, especially in enhancing the resilience and productivity of garden plants. Her research collaborations with other institutions have led to the development of two patents and various publications, strengthening her position as a leading researcher in the field of ornamental horticulture and plant biotechnology.

Publication

  1. Comparison of Fruit Parameters and Elemental Composition of Commercial Varieties of Blackberries 🍇📊
  2. Clonal Micropropagation of Cymbidium erythrostylum Rolfe 🌸🔬
  3. Unexpected Effects of Sulfate and Sodium Chloride Application on Wheat Kernels 🌾⚡
  4. Evaluation of the Heterogeneity of Wheat Kernels 📉🌾
  5. Correlations of Traits of the Flower, Leaf, and Fruit of Sargent’s Apple Tree 🍏🌿
  6. Polymorphism of Leaf and Fruit of the Sargent’s Apple Tree 🌳🍎
  7. Variability and Correlations of Traits of Malus zumi 🌳🍒
  8. Analysis of the Contingency of Traits in Rubus L. 🍇🔍
  9. Analysis of the Influence of Varietal Characteristics of Blackberries 🍇🔬
  10. Elements of Container Technology for Growing Blackberry Varieties Ouachita 🍇🏺

 

 

Saad Alqithami | Artificial Intelligence | Sustainable Engineering Award

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Assoc. Prof. Dr. Saad Alqithami | Artificial Intelligence | Sustainable Engineering Award

Associate Professor, ALBAHA UNIVERSITY, Saudi Arabia

Saad Alqithami is an Associate Professor in the Department of Computer Science at Albaha University, Saudi Arabia. With a strong background in computer science, he completed his Ph.D. at Southern Illinois University, USA, in 2016. Alqithami has contributed significantly to the fields of social network analysis, AI, and healthcare technology, particularly in the context of Attention Deficit Hyperactivity Disorder (ADHD). His work also extends to network organizations and pandemic modeling. In addition to his teaching role, he has held leadership positions in various administrative capacities at Albaha University, including General Director of Scholarships and University Relations. Alqithami is also a reviewer and program committee member for several academic conferences, contributing to the academic community’s growth. His interdisciplinary approach and commitment to impactful research make him a notable figure in AI and computational science.

Profile

Education

Saad Alqithami holds a Ph.D. in Computer Science from Southern Illinois University, Carbondale, USA, which he completed in December 2016. Prior to that, he earned his Master’s degree in Computer Science from the same institution in August 2012. His foundational education began with a Bachelor’s degree in Computer Science from Taif University, Saudi Arabia, in July 2008. Throughout his academic journey, Alqithami focused on advanced computational intelligence, AI modeling, and networked systems. His doctoral research focused on network organizations and the use of computational models for complex systems. With a deep interest in both theoretical and applied computer science, Alqithami has consistently pursued research that bridges gaps between AI, healthcare, and social systems. His education has provided a robust foundation for his distinguished career in academia and research.

Experience

Dr. Saad Alqithami has over a decade of experience in academia, beginning as a Lecturer in 2015 at Albaha University in Saudi Arabia. He has progressed through various roles, becoming an Assistant Professor in 2017 and later an Associate Professor in 2022. Alqithami has also held significant leadership positions, including Head of the Department of Computer Information Systems and General Director of Scholarships and University Relations at Albaha University. His administrative expertise spans graduate studies, scientific research, and university relations. He has contributed to enhancing the university’s strategic initiatives, especially in research and development. Furthermore, Alqithami has actively engaged in international collaborations, providing expertise in social networks, machine learning, and computational intelligence. He has worked as a Social Networks Analyst and Programmer at Southern Illinois University, where he gained hands-on experience in social network modeling and data analysis, helping shape his interdisciplinary research approach.

Awards and Honors

Dr. Saad Alqithami’s academic journey has been marked by numerous accolades. He was nominated for an outstanding paper award at the 29th AAAI Conference on Artificial Intelligence. As a co-founder, he played a key role in the launch of the “Square-2: The Intelligent Consultant Agent” project, funded by King Abdulaziz City for Science and Technology (KACST). Alqithami also received research funding from Albaha University for two major projects: “Understanding Social Contagion and Viral Spreading of COVID-19” and “An Intelligent Cognitive Modeling for Enhancing the Behavior of Children with ADHD Using a Mixed Reality Environment.” Additionally, he has been honored as a Rosalind Member by the London Journals Press. His work has not only advanced computational intelligence but has also contributed significantly to social good, especially in healthcare and public health contexts, earning him recognition from both academic and scientific communities.

Research Focus

Dr. Saad Alqithami’s research primarily focuses on the application of artificial intelligence, machine learning, and computational models to real-world problems. His work spans several areas, including social network analysis, healthcare technology, and the development of innovative solutions for behavioral health issues like ADHD. Alqithami has contributed to the design of augmented reality environments for therapeutic interventions and has modeled pandemic dynamics in social networks using AI techniques. His interdisciplinary research is aimed at bridging the gap between AI-driven insights and practical applications, particularly in healthcare and networked systems. He is also keen on exploring the implications of social capital in network organizations and improving communication protocols in industrial systems. Alqithami’s work has led to significant publications in peer-reviewed journals and conferences, showcasing his contributions to advancing AI research, particularly its integration into healthcare and societal applications.

Publication Top Notes

  1. Smart Tree Health Assessment Model using Advanced Computer Vision Techniques 🌳📊
  2. A Serious-Gamification Blueprint Towards a Normalized Attention 🧠🎮
  3. Securing Industrial Communication with Software-Defined Networking 🔐🖧
  4. A Generic Encapsulation to Unravel Social Spreading of a Pandemic 🌍💉
  5. Towards Social Capital in a Network Organization 🌐💡
  6. An External Client-Based Approach for Extract Class Refactoring 🔄📚
  7. AR-Therapist: Design and Simulation of an AR-Game for ADHD Patients 🕹️👦
  8. Fluid Dynamics of a Pandemic in a Spatial Social Network 🌍💻
  9. Modeling an AR Serious Game to Increase Attention of ADHD Patients 🎮🧑‍⚕️
  10. Modeling an Augmented Reality Game to Enhance ADHD Behavior 🧠👾

 

 

Edson Rodrigues-Filho | Environmental sciences | Excellence in Research

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Prof. Edson Rodrigues-Filho | Environmental sciences | Excellence in Research

Prof, Federal University of São Carlos, Brazil

Edson Rodrigues-Filho is a distinguished Professor of Organic Chemistry at the Federal University of São Carlos (UFSCAR) in Brazil, where he has been a faculty member since 1992. Holding a degree in Chemistry from the University of Uberlândia (1986), followed by a Master’s (1989) and Doctorate (1992) in Chemistry from UFSCAR, Rodrigues-Filho also completed a postdoctoral fellowship in Plant Pathology at the University of Minnesota. He is a Productivity Scholar at CNPq and has made significant contributions in the field of natural product chemistry, focusing on microbial biosynthesis, biotransformation, and the synthesis of bioactive molecules. His extensive expertise is recognized through his work with fungal microorganisms, especially in antibiotic and insecticide production.

Profile

Education

Edson Rodrigues-Filho’s academic journey began with a Bachelor’s degree in Chemistry from the University of Uberlândia (1986). He continued at UFSCAR, completing his Master’s (1989) and Doctorate (1992) in Chemistry, specializing in the phytochemical analysis of species from the Simaroubaceae family. His doctoral research was funded by the National Council for Scientific and Technological Development (CNPq), exploring natural compounds with potential anticancer properties. After earning his Ph.D., Rodrigues-Filho enhanced his expertise with a postdoctoral research position at the University of Minnesota, focusing on plant pathology and microbial interactions. Over the years, he has expanded his academic and professional expertise, contributing to the scientific community through both teaching and research in organic chemistry, with a particular emphasis on natural products and microbial chemistry.

Experience

Edson Rodrigues-Filho has dedicated over three decades to academia, primarily at UFSCAR, where he has been a tenured professor since 1992. He has taught a variety of undergraduate and graduate courses in organic chemistry, including subjects such as Organic Chemistry, Analytical Chemistry, and Mass Spectrometry. Throughout his career, he has also held leadership roles within the university, including serving as Vice-Chair of the Chemistry Department and representing his faculty at various academic committees. His extensive research work has focused on the chemical properties of microorganisms, biotransformation processes, and the synthesis of bioactive natural products. Additionally, Rodrigues-Filho has worked on research projects with applications in biotechnology, health, and agriculture, contributing to the development of new antimicrobial agents and biocatalysts. He has also guided numerous graduate students, helping shape the next generation of scientists in his field.

Awards and Honors

Throughout his esteemed career, Edson Rodrigues-Filho has been recognized for his contributions to organic chemistry and natural product research. His work has been supported by prestigious research grants, including funding from the CNPq, Brazil’s National Council for Scientific and Technological Development. He has been a recipient of multiple academic honors, such as research scholarships in various fields related to chemistry and microbial sciences. His postdoctoral research at the University of Minnesota in plant pathology further expanded his international academic stature. Rodrigues-Filho’s impact extends to mentoring students and advancing research in the chemical sciences, which has earned him recognition at both the national and international levels. His involvement in major scientific projects in Brazil has helped advance research on microbial chemistry, biosynthesis, and biotransformation, underscoring his standing as a leading figure in the field of natural products.

Research Focus

Edson Rodrigues-Filho’s research focuses on natural product chemistry, with a particular emphasis on microbial biosynthesis, biotransformation, and the development of bioactive molecules. His work explores how microorganisms, particularly fungi and actinomycetes, produce compounds with potential applications in medicine, agriculture, and biotechnology. Rodrigues-Filho is deeply involved in studying the synthesis of natural products, such as antibiotics and insecticides, from microbial sources. He also investigates the chemical processes involved in the production of biologically active molecules and their subsequent modifications via biotransformation. His research further delves into the application of techniques such as mass spectrometry, chromatography, and nuclear magnetic resonance (NMR) spectroscopy to analyze and understand these complex compounds. Additionally, his interest in designing new synthetic routes for bioactive molecules has made significant contributions to the development of novel pharmaceutical and agricultural chemicals.

Publication Top Notes

  1. Antimicrobial Potential of Soil/Sediment Mangrove Associated Fungi: A Review 📚
  2. Perylenequinones production induced by co-culturing Setophoma sp. and Penicillium brasilianum 🌱
  3. Computational and pharmacological investigation of novel 1,5-diaryl-1,4-pentadien-3-one derivatives for analgesic, antiinflammatory and anticancer potential 💊
  4. Synthesis, characterization, molecular docking, analgesic, antiplatelet, and anticoagulant effects of dibenzylidene ketone derivatives 🧬
  5. Photolysis of parabens using medium-pressure mercury lamps: Toxicity effects in MCF7, Balb/c 3T3 cells and Ceriodaphnia dubia ⚡
  6. Differential metabolism of diastereoisomeric diterpenes by Preussia minima, found as endophytic fungus in Cupressus lusitanica 🌿
  7. Antiplasmodial properties and cytotoxicity of endophytic fungi from symphonia globulifera (Clusiaceae) 🌍
  8. Heterogeneous microtubules of self-assembled silver and gold nanoparticles using alive biotemplates ⚙️
  9. Nanostructured assemblies of gold and silver nanoparticles for plasmon enhanced spectroscopy using living biotemplates 💎
  10. Biosynthesis and mass spectral fragmentation pathways of 13C and 15N labeled cytochalasin D produced by Xylaria arbuscula 🔬

 

Armughan Ali | Engineering | Best Researcher Award

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Mr. Armughan Ali | Engineering | Best Researcher Award

Lab Demonstrator, Wah Engineering College, Pakistan

Armughan Ali is a driven and innovative software engineer with a deep focus on artificial intelligence (AI) and its applications in solving real-world challenges. With expertise spanning software development, machine learning (ML), deep learning (DL), and natural language processing (NLP), he specializes in building intelligent systems that enhance efficiency and improve user experiences. Armughan thrives in collaborative environments, leveraging his knowledge of software engineering to create impactful AI-driven solutions. His passion for technology drives him to contribute to cutting-edge projects, making meaningful contributions to the future of AI. He is a published researcher and actively works to bridge the gap between AI theory and practice.

Profile

Google Scholar

Education

Armughan Ali is currently pursuing a Bachelor of Science in Software Engineering at HITEC University, Taxila, Pakistan (2020–2024), where he has excelled in both academic and practical aspects of software engineering. His foundation in engineering principles, coupled with a strong interest in artificial intelligence, positions him as a rising star in the field. Prior to this, Armughan completed his FSC (Pre-Engineering) from Punjab College, Wah-Cantt (2017–2019), where he honed his analytical skills and gained a solid grounding in the sciences. His academic journey has been marked by a commitment to excellence and a passion for emerging technologies, with a focus on AI, machine learning, and software development.

Experience

Armughan Ali’s professional journey includes diverse roles that showcase his versatility and expertise. As a Lab Demonstrator at Wah Engineering College (2024–present), he imparts knowledge to students and fosters a collaborative learning environment. He also serves as a Web Developer on Fiverr (2020–present), where he customizes and develops responsive websites for clients. In his previous role as a Graphic Designer at Graphic Saloon (2023–2024), he created on-brand visuals and marketing materials. Additionally, he contributed to digital solutions as a Digital Solutions Specialist at Ever-Green Corporation (2023), focusing on enhancing the company’s digital presence. He also conducted Front-End Development workshops at HITEC University in 2023, training participants on web technologies like HTML, CSS, and JavaScript. These varied experiences underscore his technical, teaching, and leadership capabilities.

Awards and Honors

Armughan Ali has received numerous accolades, affirming his talent and leadership in the tech community. He is the founder and organizer of the prestigious “CodeWar” event at HITEC University, which has become a significant programming competition. His leadership and dedication have been recognized across multiple seasons, including CodeWar Season I, II, and III (2022-2024). In addition to his role as an organizer, Armughan’s talent in math and programming has earned him awards such as the Math Genius and Speed Programming titles at TECTIQS’ 19 and 18 (IQRA University). These honors highlight his exceptional problem-solving skills and contributions to academic and extracurricular activities. His achievements reflect his commitment to advancing his skills and fostering a culture of innovation.

Certifications

Armughan Ali has demonstrated a strong commitment to expanding his technical knowledge through numerous certifications in the fields of software engineering, artificial intelligence, and machine learning. Notable certifications include IBM Full Stack Software Developer (2024), Machine Learning (2024), and Google Advanced Data Analytics (2024). Additionally, he has completed training in AI/ML, .NET FullStack Development, and deep learning, further honing his skills in these advanced domains. His continuous learning approach also led him to certifications in cybersecurity, project management, and various front-end technologies. These certifications attest to his technical proficiency and eagerness to stay ahead of industry trends. Armughan’s focus on continuous education empowers him to tackle complex challenges with confidence and agility.

Research Focus

Armughan Ali’s research interests lie at the intersection of artificial intelligence, machine learning, and healthcare. His work focuses on applying AI to solve complex real-world problems, particularly in disease detection and classification. He has co-authored several research papers on topics such as Alzheimer’s disease prediction, fake news classification, and skin cancer detection using deep learning techniques. His recent research involves the use of vision transformers for medical imaging, including cancer detection and stomach gastric detection. Armughan is also exploring the use of ensemble learning models for improving the accuracy of AI systems in real-world applications. His contributions to AI-driven healthcare research aim to advance the potential of technology in improving patient outcomes. With a deep interest in creating explainable AI models, Armughan strives to enhance transparency in AI decision-making processes.

Publication Top Notes

  1. X-News Dataset for Online News Categorization 📊
  2. xCViT: An Improved Vision Transformer Network for Skin Disease Classification 🧑‍⚕️
  3. An Optimized Weighted Voting-Based Ensemble Learning Approach for Fake News Classification 📰
  4. Enhancing Disability-Inclusive Communication Through DynaFuseNet and Transformer Models for Sign Language Interpretation 🦻
  5. Convolutional Transformer-Based Few-Shot Learning for Stomach Gastric Detection 🍽️
  6. Alzheimer’s Disease Prediction at Early Stage Using Vision Transformer Architecture 🧠
  7. An Efficient Approach for Plant Leaf Disease Detection Using Vision Transformer Architecture 🌿

 

Jenny Miller | Religion | Best Researcher Award

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Mrs. Jenny Miller | Religion | Best Researcher Award

Religion, Liverpool Hope University, United Kingdom

Rev. Jenny Miller, an ordained Interfaith Minister and scholar, holds Masters degrees in Christian Spirituality and Transpersonal Child, Adolescent & Family Therapy. With a background in law (LLB) and Transpersonal Psychotherapy, she integrates these disciplines to explore the intersections of spirituality, psychology, and interfaith studies. Jenny is the joint-winner of The World Congress of Faiths’ Essay Award 2019 and a published author in notable academic journals. As a PhD candidate at Liverpool Hope University, her research bridges Transpersonal Psychology with Mystical Theology. Jenny is also an experienced speaker at international conferences, including Oxford University’s Mystical Theology and International EUROTAS Conferences.

Profile

Orcid

Education

Jenny Miller’s academic journey began at Reading University, where she earned an LLB (Hons) in Law. She later transitioned into psychotherapy, completing a Diploma in Transpersonal Psychotherapy and an MA in Transpersonal Child, Adolescent & Family Therapy at the Centre for Counselling and Psychotherapy Education. She went on to achieve a Master’s in Christian Spirituality from Winchester University with distinction. Jenny has also undergone extensive interfaith ministry training with OneSpirit Interfaith Foundation. She is now pursuing a PhD in Theology at Liverpool Hope University, focusing on the intersection of Transpersonal Psychology and Mystical Theology.

Experience

Jenny Miller’s professional experience spans law, psychotherapy, and spiritual ministry. She began her career as a solicitor at Lovell White Durrant and Pinsent Masons before transitioning into psychotherapy. She has taught various transpersonal psychotherapy models at the Centre for Counselling and Psychotherapy Education and facilitated Sandplay Therapy training. Jenny’s voluntary work includes bereavement counselling with Wandsworth Bereavement Service and work with CAMHS and Off The Record in child and adolescent counselling. She is also an ordained Interfaith Minister and a regular contributor to academic and spiritual publications, including The Inquirer and Religions journal.

Research Focus

Jenny Miller’s PhD research bridges Transpersonal Psychology with Mystical Theology, investigating the depths of human consciousness and spirituality. Her work explores the intersection between mysticism and psychological development, seeking a transdisciplinary understanding that integrates spiritual and therapeutic practices. Jenny’s focus extends to the role of interfaith worship in spiritual growth, as well as the practical mysticism of historical figures like Florence Nightingale. Through her research, Jenny aims to contribute new insights into the field of mystical theology and transpersonal psychology, addressing their relevance to modern spiritual practices.

Publication Top Notes

  • “Merton’s Unity of Action and Contemplation in Transpersonal Perspective” 📝

 

Emily Sabo | Biochemistry | Best Researcher Award

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Dr. Emily Sabo | Biochemistry | Best Researcher Award

Previous Student, Colorado School of Mines, United States

Dr. E.T. Sabo is a graduate student at Colorado School of Mines, pursuing a Ph.D. in Applied Chemistry under the mentorship of Dr. Richard Holz. Their research focuses on the sulfur mobilization mechanisms for Fe-S cluster biosynthesis in Staphylococcus aureus, aiming to uncover critical insights into bacterial biochemistry and potential antibiotic targets. With a solid background in chemical and biochemical techniques, Dr. Sabo has developed expertise in protein purification, enzyme kinetics, crystallography, and computational modeling. Throughout their career, they have mentored undergraduate and high school students, participated in outreach programs, and contributed to community-building efforts within the academic environment. With multiple publications and presentations in leading journals and conferences, Dr. Sabo is recognized for their scientific acumen, leadership, and passion for advancing biochemistry.

Profile

Education

Dr. E.T. Sabo is currently completing a Ph.D. in Applied Chemistry at Colorado School of Mines (Aug 2019–Dec 2024), under the supervision of Dr. Richard Holz. Their dissertation explores the sulfur mobilization mechanisms for Fe-S cluster biosynthesis in Staphylococcus aureus, an area of great interest for antimicrobial research. Prior to their graduate studies, Dr. Sabo earned a B.S. in Chemistry with a minor in Mathematics from the University of Georgia (Aug 2015–May 2019). This foundational training set the stage for their extensive work in biochemistry and molecular biology, equipping them with a deep understanding of both chemical and biological systems. The combination of rigorous academic training and hands-on research experience allows Dr. Sabo to bridge the gap between theoretical chemistry and practical laboratory applications in their work on sulfur biochemistry and enzyme function.

Experience

Dr. Sabo’s research experience includes a diverse set of skills in applied chemistry and biochemistry. As a Graduate Research Assistant at Colorado School of Mines (2020–2024), Dr. Sabo focused on studying sulfur mobilization in bacterial enzymes, such as cysteine desulfurases. This involved advanced techniques such as protein purification, enzyme kinetics, protein crystallography, and computational docking. Notably, they developed assays for high-throughput screening (HTS) to study enzyme inhibition and optimized crystallography screens for structural analysis. Additionally, Dr. Sabo has significant experience with UV-Vis and EPR spectroscopy and molecular modeling, crucial tools in biochemistry research. Their undergraduate experience at the University of Georgia (2015–2019) also involved working on mass spectrometry-based analyses of glycan metabolites in human kidney cells, further strengthening their broad skillset. Dr. Sabo has consistently demonstrated an ability to mentor and collaborate with students, as well as present complex research findings at conferences.

Awards and Honors

Dr. E.T. Sabo has earned several accolades recognizing their outstanding contributions to research and academics. They received the Mines GRADS Best Oral Talk award in March 2024, securing 2nd place in Biological, Health, and Social Sciences. Their work was recognized for its depth and clarity in communicating complex scientific concepts. Dr. Sabo also received the prestigious ACS travel award in August 2022, facilitating their participation in the American Chemical Society’s Division of Inorganic Chemistry conference. As an undergraduate, Dr. Sabo was awarded the Classic Scholar Award at the University of Georgia, which acknowledged their academic excellence. Their dedication to advancing scientific understanding and contributing to the academic community has been instrumental in the recognition they’ve received. These honors highlight Dr. Sabo’s growing reputation as an emerging leader in the field of applied chemistry and biochemistry, especially in the study of bacterial biochemistry.

Research Focus

Dr. E.T. Sabo’s research is focused on understanding sulfur mobilization mechanisms for Fe-S cluster biosynthesis in Staphylococcus aureus, a critical process for bacterial survival and virulence. By studying the cysteine desulfurase complex in this pathogenic bacterium, Dr. Sabo aims to uncover potential targets for novel antimicrobial therapies. Their work delves into enzyme kinetics, protein-protein interactions, and the structural characterization of sulfur transfer pathways, with the goal of improving our understanding of microbial biochemistry. The research also extends to the study of small molecule inhibitors and their effect on sulfur metabolism, which could offer insights into the development of new antibiotic strategies. Additionally, Dr. Sabo is exploring computational approaches to model protein-ligand interactions, further enhancing the ability to predict and design compounds that interfere with sulfur cluster biosynthesis. This interdisciplinary approach promises to advance both basic biochemistry and applied pharmaceutical research.

Publications

  1. Boncella, A. E.; Sabo, E. T.; Santore, R. M.; Carter, J.; Whalen; Hudspeth, J. D.; Morrison, C. N. “The expanding utility of iron-sulfur clusters: Their functional roles in biology, synthetic small molecules, maquettes and artificial proteins, biomimetic materials, and therapeutic strategies.” Coordination Chemistry Reviews, 453, 2022. 🔬⚛️
  2. Hudspeth, J.D.; Boncella, A. E.; Sabo, E. T.; Andrews, T.; Boyd, J.; Morrison, C.N. “Structural and Biochemical Characterization of the Cysteine Desulfurase Complex SufSU.” ACS Omega, 7(48), 44124-44133, 2022. 🧬🧪
  3. Sabo, E.T. and Nelson, C.; Stark, V.; Aasman, K.; Boyd, J.; Holz, R. “Practical Spectrophotometric Assay for the Cysteine Desulfurase SufS from Staphylococcus aureus, a Potential Antibiotic Target.” Antibiotics. Accepted. 💊🦠
  4. Sabo, E.T.; Gerlich, G.; Nelson, C.; Stark, V.; Aasman, K.; Morrison, C.; Boyd, J.; Holz, R. “Kinetic Analysis of Cysteine Desulfurase SaSufS from Staphylococcus aureus.” In preparation. 🧑‍🔬🔎
  5. Sabo, E.T., Nelson, C.; Bennet, B.; Holz, R. “Cobalt Substitution of the Zinc-dependent Sulfur Transferase SaSufU from Staphylococcus aureus.” In preparation. ⚙️💡

 

 

Fatmir Asllanaj | Heat Transfer | Best Researcher Award

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Mr. Fatmir Asllanaj | Heat Transfer | Best Researcher Award

Dr, CNRS – LEMTA, France

Fatmir Asllanaj is a distinguished French scientist, currently holding the position of Chargé de Recherche CNRS Hors Classe at the LEMTA laboratory. With a career spanning more than two decades, he has contributed significantly to the fields of mechanics, energetics, and radiative heat transfer. Dr. Asllanaj’s scientific journey is marked by his extensive collaboration with national and international institutions, as well as his leadership in research teams. His work has had a significant impact on the development of new computational models and their applications in combustion, biological tissue diagnostics, and material sciences. He has been actively involved in research, mentorship, and scientific advisory roles, shaping the direction of innovative projects and contributing to the scientific community through numerous publications and seminars. His contributions are widely recognized, earning him accolades, including being selected as the best reviewer for the journal JQSRT in 2009.

Profile

Orcid

Education

Fatmir Asllanaj’s educational background is rooted in high-level academic excellence. He received his Doctorate in Mechanics and Energetics from the University of Lorraine in 2001, followed by a post-doctoral research period at the University of Mons (Belgium). He earned his DEA in Applied Mathematics from the University of Lorraine in 1998, completing his HDR (Habilitation à Diriger des Recherches) in Mechanics and Energetics in 2009. These qualifications have provided him with the knowledge and expertise to pursue a successful career in scientific research and education. Asllanaj’s contributions in academia go beyond his own research, as he has guided multiple PhD and post-doctoral students, contributing to the development of the next generation of scientific minds. His robust educational foundation enables him to bridge the gap between theoretical research and practical application, particularly in the fields of thermodynamics and radiative heat transfer.

Experience

With over 25 years of professional experience, Fatmir Asllanaj has held several prominent roles in scientific research and academia. He began his career as a doctoral student and research assistant at the University of Lorraine, where he worked on his thesis and later contributed as an ATER and post-doctoral researcher. He advanced through various positions at the LEMTA (Laboratoire d’Énergétique, Mécanique et Thermodynamique des Atmosphères), starting as a Chargé de Recherche CNRS and progressing to his current position as Chargé de Recherche CNRS Hors Classe. Throughout his career, Dr. Asllanaj has directed and contributed to multiple research teams and projects, significantly advancing the field of heat transfer and radiative processes. His research has also involved collaborations with leading academic institutions globally, including in Brazil, Germany, and Belgium, and industry partners such as EADS, Saint-Gobain, and Dow-Chemical. Dr. Asllanaj’s leadership and research have led to significant scientific advancements in his field.

Research Focus

Fatmir Asllanaj’s research focuses on the complex interactions between radiative heat transfer, fluid dynamics, and materials science. His work primarily involves modeling radiation in turbulent flows in combustion systems, exploring alternative fuels and their effects on energy production. He also investigates radiation in biological tissues, with applications in medical diagnostics, particularly in optical tomography and cancer detection. Additionally, Dr. Asllanaj conducts research into radiation and coupled heat transfer in semi-transparent media, with a focus on improving insulation materials and glass shaping techniques. His methodical approach includes developing inverse techniques to accurately determine radiative properties in complex environments, contributing to both scientific understanding and practical applications. Asllanaj’s work has provided invaluable insights into the behavior of energy transfer in various media and holds the potential to influence industries ranging from energy production to healthcare and material manufacturing. His research continues to shape the future of thermal sciences and radiative heat transfer.

Publication Top Notes

  1. Unified gas radiation model over the entire temperature range based on WSGG 🌡️📚
  2. New gas radiation model based on the principle of weighted sum of gray gases 🌡️🔥
  3. Simultaneous reconstruction of absorption, scattering and anisotropy factor distributions in quantitative photoacoustic tomography 🔬💡
  4. Anisotropy factor reconstruction as a new endogenous contrast for cancer diagnosis with optical tomography 🧬🎯
  5. Light propagation in biological tissue 💡🧬
  6. New image reconstruction algorithm for fluorescence optical tomography based on the adjoint radiative transfer equation 💡🔬
  7. Three-dimensional frequency-domain optical anisotropy imaging of biological tissues with near-infrared light 🌐💡
  8. Optical properties reconstruction using the adjoint method based on the radiative transfer equation 🧬🔍
  9. Fluorescence molecular imaging based on the adjoint radiative transport equation 💡📡
  10. Galerkin method for solving combined radiative and conductive heat transfer 🔥💻

 

 

 

Wijdan Al-Ahmadi | Biomedicine | Best Researcher Award

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Dr. Wijdan Al-Ahmadi | Biomedicine | Best Researcher Award

Associate scientest, King Faisal specialist hospital and research center, Saudi Arabia

Dr. Wijdan Al-Ahmadi is a seasoned researcher with over 20 years of experience in biomedicine, focusing on cancer biology, immunology, and disease mechanisms. Based in Riyadh, Saudi Arabia, she is a key member of the Molecular Biomedicine Research Department at King Faisal Specialist Hospital and Research Center. Her work spans diverse fields, including inflammatory diseases and cardiovascular research. Notably, in 2023, she contributed to a groundbreaking experiment aboard the International Space Station (ISS), highlighting her ability to conduct research in extreme environments. Dr. Al-Ahmadi has demonstrated leadership through her work as an educator, mentoring students at various academic levels. Her contributions continue to push the boundaries of biomedicine, paving the way for new therapeutic strategies and personalized medicine approaches.

Profile

Education

Dr. Wijdan Al-Ahmadi holds a Ph.D. in Bioscience from Cardiff University (2015–2019), where she focused on cancer and immunology research. She also earned a B.Sc. in Biochemistry from King Saud University (1994–1998). Her academic journey has equipped her with advanced expertise in molecular biology, cancer research, and biomedical sciences. Dr. Al-Ahmadi’s educational foundation is complemented by her extensive hands-on experience in laboratory settings, which has enabled her to contribute to numerous pioneering studies. Through her formal education and continuous professional development, she has maintained a passion for unraveling disease mechanisms and enhancing health outcomes through scientific innovation.

Experience

Dr. Al-Ahmadi’s career spans over two decades in the field of biomedicine. She currently serves as an Associate Scientist at King Faisal Specialist Hospital and Research Center in Riyadh, where she leads advanced research projects in cancer biology and immunology. Prior to this, she was a Post-doctoral Fellow (2020–2023), focusing on cancer and inflammatory disease mechanisms. Dr. Al-Ahmadi’s experience includes roles as a Research Assistant (2007–2015) and a Research Technician (2002–2006), where she was deeply involved in cancer research and molecular biology assays. She has also mentored Ph.D., master’s, and undergraduate students throughout her career. Her research has had significant impact both in clinical settings and in experimental fields, including innovative studies aboard the ISS in 2023, demonstrating her versatility in different research environments.

Research Focus

Dr. Wijdan Al-Ahmadi’s research is focused on understanding the underlying mechanisms of diseases, particularly cancer, inflammatory disorders, and cardiovascular diseases. She is dedicated to uncovering how specific genetic mutations and signaling pathways contribute to disease progression, aiming to identify novel therapeutic targets for better patient outcomes. Dr. Al-Ahmadi’s work in space science is also notable, having contributed to microgravity research aboard the ISS, exploring how human physiology and disease processes respond in space. Her findings not only have applications for space health but also provide critical insights that can benefit human health on Earth. She is driven by the potential of personalized medicine and therapeutic interventions that address the root causes of disease.

Publication Top Notes

  1. Pro-atherogenic actions of signal transducer and activator of transcription 1 serine 727 phosphorylation in LDL receptor deficient mice via modulation of plaque inflammation. 🧬🔬
  2. Protective effects of a unique combination of nutritionally active ingredients on risk factors and gene expression associated with atherosclerosis in C57BL/6J mice fed a high-fat diet. 🥗🧪
  3. Posttranscriptional control of the chemokine receptor CXCR4 expression in cancer cells. 🧑‍🔬🦠
  4. miR-29a inhibition normalizes HuR over-expression and aberrant AU-rich mRNA stability in invasive cancer. 🧬💡
  5. The RNA-binding zinc-finger protein tristetraprolin regulates AU-rich mRNAs involved in breast cancer-related processes. 🔬💥
  6. Alternative polyadenylation variants of the RNA binding protein, HuR: abundance, role of AU-rich elements and auto-Regulation. 🧬📊
  7. Cloning-free regulated monitoring of reporter and gene expression. 🧬🧑‍🔬
  8. RNase L downmodulation of the RNA-binding protein, HuR, and cellular growth. 🔬🧑‍🔬
  9. Bioinformatics and experimental derivation of an efficient hybrid 3′ untranslated region and use in expression active linear DNA with minimum poly(A) region. 💻🧬
  10. Expedient liquid chromatographic method with fluorescence detection for montelukast sodium in micro-samples of plasma. 🧪💉

 

 

 

Li Cheng | Wireless Communication | Best Faculty Award

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Ms. Li Cheng | Wireless Communication | Best Faculty Award

Professor, Wuhan Institute of Technology, China

Cheng Li, PhD, is a distinguished professor at Wuhan University of Technology, specializing in wireless communication, ionospheric passive detection, and array signal processing. He has an extensive academic career, with over 15 years of experience in teaching and research at the university. Dr. Li holds a PhD in Electromagnetic Field and Microwave Technology from Huazhong University of Science and Technology, as well as a Master’s degree from Wuhan University of Technology. His research has been pivotal in advancing communication technology, particularly in wireless systems. Dr. Li has guided numerous students to success in national and international competitions, reinforcing his commitment to both education and scientific innovation. His work has earned him a series of prestigious awards and recognitions, making him a prominent figure in his field. In addition to his academic duties, Dr. Li serves as a member of various academic committees and contributes significantly to research initiatives.

Profile

Orcid

Education

Dr. Cheng Li’s academic journey is marked by a solid foundation in electronic engineering and communications. He earned his Bachelor’s degree in Electronic Information Engineering from Hubei University in 2002. He then completed a Master’s degree in Communication and Information Systems at Wuhan University of Technology in 2005. Furthering his expertise, Dr. Li pursued a PhD in Electromagnetic Field and Microwave Technology at Huazhong University of Science and Technology, which he completed in 2018. His doctoral research focused on the intricacies of electromagnetic fields and their applications in modern wireless communication technologies. The rigorous academic environment in which Dr. Li trained has helped shape his current research and teaching philosophy, which combines theoretical research with practical applications. His ongoing academic involvement continues to influence the evolution of communication systems, positioning him as an expert in the fields of wireless communication, ionospheric passive detection, and signal processing.

Experience

Dr. Cheng Li has dedicated his professional career to Wuhan University of Technology, where he has held various positions since 2005. Starting as a lecturer in the School of Electrical and Information Engineering, he rose to Associate Professor by 2013, and in 2019, he was appointed as a full professor and head of the department. Over the years, Dr. Li has played a key role in shaping the direction of the department and in mentoring students at both undergraduate and postgraduate levels. His extensive teaching experience is complemented by his leadership in numerous national and provincial-level research projects. Dr. Li’s academic contributions extend beyond the classroom, as he has been actively involved in organizing academic events, contributing to committees, and mentoring young researchers. His leadership has fostered a collaborative environment within the department, and his expertise is regularly sought for technical discussions and academic collaborations, both locally and internationally.

Awards and Honors

Dr. Cheng Li has been recognized with numerous awards for both his teaching and research contributions. His work has earned him a first prize and second prize in the Hubei Province Teaching Achievement Award. He was also awarded the second prize in the Hubei Province Science and Technology Progress Award. In addition to his academic accolades, Dr. Li has been the recipient of the Hubei Province Young Teachers Competition Excellence Award and the first prize in his university’s young teachers’ lecture competition. His dedication to his students and the academic community has been recognized through titles such as “Excellent Bachelor’s Thesis Instructor in Hubei Province,” “Advanced Worker,” “Excellent Scientific Research Worker,” and “Excellent Communist Party Member.” Dr. Li has also guided students to success in national competitions, winning multiple prizes in the China University Computer Competition and other technical challenges, demonstrating his commitment to fostering the next generation of engineers.

Research Focus

Dr. Cheng Li’s research focuses primarily on the intersection of wireless communication, ionospheric passive detection, and array signal processing. His expertise lies in the application of electromagnetic fields to enhance the performance of communication systems, with particular emphasis on improving wireless signal detection and processing techniques. Dr. Li has worked extensively on ionospheric detection methods, using advanced signal processing to enhance system reliability. His research in wireless communication aims to develop more efficient and robust methods for data transmission and network optimization, addressing challenges in modern communication systems, including 5G and beyond. In addition to wireless communication, his work also explores array signal processing, where he has made significant contributions to improving the design and performance of antenna arrays in signal detection. Through his research, Dr. Li aims to advance the technological foundation for high-performance wireless networks and communication systems, making a significant impact on both academia and industry.

Publication Top Notes

  • Highlight Removal Emphasizing Detail Restoration 📚🖋️ Applied Sciences, 2024 – DOI: 10.3390/app14062469
  • Neural-Network-Based Localization Method for Wi-Fi Fingerprint Indoor Localization 📡💻 Sensors, 2023 – DOI: 10.3390/s23156992

Gaetano Lettera | Collaborative Robotics | Best Researcher Award

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Dr. Gaetano Lettera | Collaborative Robotics | Best Researcher Award

Research Fellow, UNIVPM Polytechnic University of Marche, Italy

Gaetano Lettera is an expert in robotics, specializing in motion planning, human-robot collaboration, and advanced automation. He earned both a Bachelor’s and Master’s degree in Computer Engineering from the University of Campania ‘Luigi Vanvitelli’, where he developed a deep expertise in robotic manipulation and control systems. With a strong academic and research background, he has collaborated on various innovative projects, including those for the aerospace and industrial automation sectors. His professional journey spans research assistant roles at the University and working as a Project Engineer at various companies like Loccioni and AEA S.R.L. Lettera’s work has led to notable contributions in human-robot collaboration, safety systems, and AI-driven robotic systems. His scientific publications showcase the results of his research, particularly in the areas of motion planning, sensor fusion, and robot safety in collaborative environments.

Education🎓

Gaetano Lettera pursued his studies at the University of Campania ‘Luigi Vanvitelli’ where he first earned a Bachelor’s degree in Computer Engineering (2015) and later a Master’s degree in the same field (2017). His educational background is built on a solid foundation in mathematics, physics, and computer science, coupled with advanced courses in robotics, control systems, and automation. His thesis work focused on robotic manipulation, involving depth camera integration and motion planning algorithms. As part of his master’s program, Lettera developed algorithms for object recognition and 6D localization to enhance robot manipulation capabilities. His academic journey also included a specialization in human-robot collaboration, where he explored safety systems and real-time robot control. Alongside his academic credentials, Lettera strengthened his English proficiency with an IELTS Academic certification and advanced C1-level skills at Shane Global English School in the UK.

Experience💼

Gaetano Lettera has over 7 years of experience in the robotics and automation industries, combining research, software development, and project management. He began his career with research internships at the University of Campania ‘Luigi Vanvitelli’, where he worked on robot motion planning, object manipulation, and collision avoidance. He later transitioned to roles as a Project Engineer at companies like Loccioni and AEA S.R.L., where he focused on human-robot collaboration (HRC) and aerospace automation. His key responsibilities included leading the development of robotic systems for assembly and inspection in aerostructures. Lettera has worked on the design and integration of advanced robot control algorithms for industrial applications. He has also contributed to various European projects in the aerospace sector. Currently, he works as a Project Engineer, managing projects from concept to implementation, and is involved in the development of innovative automation systems for complex industrial processes.

Research Focus🔬

Gaetano Lettera’s research focuses on the intersection of robotics, artificial intelligence, and human-robot collaboration (HRC). His primary interest lies in developing robust motion planning algorithms and real-time control systems that allow robots to work safely and efficiently alongside human operators in industrial settings. He has conducted significant work in advanced robotic manipulation, using depth cameras and sensor fusion to enhance object recognition and localization for complex tasks. Lettera’s research also emphasizes safety in collaborative workspaces, where he has applied deep learning techniques to monitor human-robot interactions in real-time. His work on collaborative robotics is critical for the next generation of manufacturing, particularly in high-precision industries like aerospace. By integrating AI into these systems, he aims to improve efficiency, safety, and adaptability. Lettera’s contributions to the field have resulted in multiple published works in top-tier robotics journals and international conferences.

Publication Top Notes📚

  1. Flexible Motion Planning for Object Manipulation in Cluttered Scenes (2018)
  2. Motion Planning and Reactive Control Algorithms for Object Manipulation in Uncertain Conditions (2018)
  3. A Fuzzy Inference Approach to Control Robot Speed in Human-Robot Shared Workspaces (2019)
  4. A Multimodal Perception System for Detection of Human Operators in Robotic Work Cells (2019)
  5. A multimodal approach to human safety in collaborative robotic workcells (2019)
  6. Grasp Control for Enhancing Dexterity of Parallel Grippers (2020)
  7. Can Robots Refill a Supermarket Shelf? (2020)