Cristina Claudia Patriche | Management | Excellence in Research Award

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Ms. Cristina Claudia Patriche | Management | Excellence in Research Award

Ms. Cristina Claudia Patriche | Management | Phd Student at Universitatea Dunarea de Jos din Galati | Romania

Ms. Cristina Claudia Patriche is a dedicated university assistant and researcher in the field of management whose academic journey demonstrates both scholarly commitment and professional impact, making her a valuable contributor to the global research community. She earned her Ph.D. in Management, which provided her with a strong academic foundation to pursue research that addresses critical aspects of entrepreneurial ecosystems, higher education reputation management, and social impact evaluation, all of which are central to her ongoing academic endeavors. In her professional role at the University of Galați, she has combined teaching, mentoring, and collaborative research to build a multifaceted profile that integrates both theoretical exploration and practical application. Her research interests focus on entrepreneurial intentions of students, institutional reputation within higher education, and innovative approaches to measuring social impact through methodologies such as PLS-SEM and fsQCA. With a growing list of publications in reputable international journals, she has already achieved recognition within the management field, where her scholarly contributions are cited and engaged with by peers. Her research skills are demonstrated in the use of advanced statistical and qualitative methodologies, rigorous literature analysis, and a capacity to translate academic knowledge into practical frameworks that support institutional growth. Among her publication achievements, Ms. Cristina Claudia Patriche has co-authored influential works in Scopus-indexed and Q1 journals, including studies on entrepreneurial intentions, university reputation, and knowledge-driven management practices, establishing her reputation as an emerging scholar with both intellectual rigor and global relevance. In terms of awards and honors, she has been recognized through her involvement in prestigious international collaborations and her active contribution to advancing research within the management discipline, which underscores her potential to achieve further academic distinction. Her dedication to building cross-institutional partnerships highlights her capacity for collaboration beyond national borders, making her a suitable candidate for leadership roles in future projects and academic initiatives. In addition to her publications, she has also demonstrated professional service to the academic community through conference presentations, co-research with international teams, and her role in mentoring students, all of which reinforce her influence as both a scholar and educator.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Enablers of students’ entrepreneurial intentions: findings from PLS-SEM and fsQCA – 2024  (Citations: 22)

  2. University reputation management: academic knowledge alchemy – 2025 (Citations: 1)

  3. Knowledge-driven reputation management in higher education institutions – 2025

  4. The impact of entrepreneurial activities in universities on their reputation – 2024

 

Fang Yang | Medicine | Best Researcher Award

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Assoc. Prof. Dr. Fang Yang | Medicine | Best Researcher Award

Assoc. Prof. Dr. Fang Yang | Medicine | Associate Professor at Hubei University of Chinese Medicine | China

Assoc. Prof. Dr Fang Yang is a distinguished academic and researcher at the School of Laboratory Medicine, Hubei University of Chinese Medicine, who has built a solid reputation in the fields of food science, nutrition, and lipid metabolism, with a special focus on egg-derived bioactive compounds and their influence on cholesterol regulation, gut microbiota, and overall human health. Assoc. Prof. Dr Fang Yang began her academic journey at Huazhong Agricultural University, where she earned a Bachelor’s degree in Food Science and Technology, followed by a Doctorate in the same discipline, which equipped her with comprehensive knowledge of food chemistry, nutrition, and functional food development. To broaden her global exposure, she served as a Visiting Scholar at the University of Tennessee, Knoxville, where she collaborated with international experts in nutrition science and advanced her expertise in lipidomics and metabolic regulation. Professionally, Assoc. Prof. Dr Fang Yang has dedicated her career to research and teaching. where she has successfully led funded projects supported by the National Natural Science Foundation of China, the Hubei Education Department, and the Hubei Provincial Health Commission. Her funded research includes studies on high-throughput lipidomics of egg phospholipids, the interaction of egg yolk sphingomyelin with intestinal microbiota, and the mechanisms by which dietary components regulate cholesterol absorption, all of which have contributed valuable insights to food and nutrition science. Her research interests span nutrition biochemistry, functional foods, lipidomics, gut health, and the prevention of metabolic diseases, areas in which she has published nearly 20 peer-reviewed articles in internationally recognized journals such as Frontiers in Nutrition, Frontiers in Pharmacology, Food Science & Nutrition, World Journal of Gastroenterology, and Science of the Total Environment. Assoc. Prof. Dr Fang Yang demonstrates advanced research skills in lipid profiling, molecular biology, systematic review methodologies, and experimental nutrition, along with strong abilities in interdisciplinary collaboration and academic mentoring.

Academic Profile: ORCID

Featured Publications:

  1. Optimization of Its Preparation and Evaluation of Fresh and Tender Leaves of Artemisia argyi for Food Usage – 2025

  2. Dietary supplementation of water extract of Eucommia ulmoides bark improved caecal microbiota and parameters of health in white‐feathered broilers – 2024 – Citations: 2

  3. The nutritional functions of dietary sphingomyelin and its applications in food – 2022 – Citations: 35

  4. The impacts of vitamin D supplementation in adults with metabolic syndrome: A systematic review and meta-analysis of randomized controlled trials – 2022 – Citations: 40

 

 

Teshome Dengiso Megiso | Mechanical Engineering | Best Researcher Award

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Dr. Teshome Dengiso Megiso | Mechanical Engineering | Best Researcher Award

Dr. Teshome Dengiso Megiso | Mechanical Engineering | Ph.D Scholar at Adama Science and Technology University | Ethiopia

Dr. Teshome Dengiso Megiso is a highly committed Ph.D. scholar at Adama Science and Technology University whose academic journey, research expertise, and professional contributions reflect excellence in automotive engineering, renewable energy, and sustainable technology development. He holds B.Sc. and M.Sc. degrees in Automotive Engineering, and currently pursues doctoral studies in Mechanical Engineering, building on a strong academic foundation that enables him to address global challenges in clean mobility and green energy. Over the course of his career, Dr. Teshome has served as a lecturer, mentor, coordinator, and academic leader, demonstrating significant professional experience at both Adama Science and Technology University and Arba Minch Polytechnic College, where he contributed to teaching, supervision of undergraduate and postgraduate theses, curriculum design, and institutional quality enhancement. His research interests span IC engines, biofuels, combustion and emissions, nanomaterials, and renewable energy integration in automotive systems, areas that align with global priorities in decarbonization and energy transition. He has actively participated in international collaborations, notably with HNU University of Applied Sciences in Germany, where he contributed to the Applied Entrepreneurship Education Program, exhibitions, and cross-cultural academic exchanges. Dr. Teshome has established strong research skills in experimental testing, failure mode analysis, biodiesel-diesel blends, graphene oxide nanoparticle additives, and ergonomic studies, while also excelling in project leadership, consultancy, and technical innovation. His publication record includes articles in Elsevier, Springer, and other reputed journals, with three indexed in Scopus and accumulating more than 30 citations, reflecting growing recognition of his scholarly contributions. His key works have addressed topics such as marine microalgae biodiesel performance, automotive gear failure analysis, ergonomic optimization of passenger transport, and small enterprise growth factors, showcasing versatility across applied engineering domains.

Academic Profile: ORCID | Google Scholar

Featured Publications:

  1. Effects of graphene oxide nanoparticles on the performance and emissions of marine microalgae-derived biodiesel-diesel blends in a diesel engine- 2025  (12 Citations)

  2. Failure Mode Analysis of Automotive Final Drive Gears – 2019 (7 Citations)

  3. Investigation of Significant Factors for Growth of Micro and Small Enterprises – 2019  (6 Citations)

  4. Passengers’ Ergonomics Evaluation of Intercity Buses: Optimization of Bus Body Building Methods – 2017  (6 Citations)

 

 

Jinhui Lin | Neural Networks | Best Researcher Award

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Dr. Jinhui Lin | Neural Networks | Best Researcher Award

Dr. Jinhui Lin | Neural Networks | Doctor at University of science and technology Beijing | China

Dr. Jinhui Lin is an accomplished researcher at the University of Science and Technology Beijing whose academic contributions and professional achievements demonstrate a strong commitment to advancing the field of computer science and artificial intelligence. He earned his Ph.D. in Computer Science from the University of Science and Technology Beijing, equipping him with a rigorous academic foundation that supports his specialized focus on deep learning, neural networks, quantization techniques, and advanced optimization strategies. Throughout his career, Dr. Jinhui Lin has held academic and research positions that emphasize both independent innovation and collaborative engagement, allowing him to build a research profile that bridges theoretical models with practical implementations in machine learning. His professional experience reflects significant involvement in interdisciplinary projects, particularly in the areas of deep neural network quantization, post-training optimization methods, Gaussian splatting, and multi-view refinement for high-fidelity rendering, each of which has made notable contributions to the broader artificial intelligence research community. Dr. Jinhui Lin’s research interests are diverse yet deeply interconnected, centering on improving the efficiency, accuracy, and deployment of deep neural network models in real-world applications, while also extending into computer vision, pattern recognition, and model compression, areas that are critical for next-generation AI systems. His research skills are demonstrated through a strong command of algorithm design, computational optimization, experimental validation, and cross-disciplinary knowledge integration, enabling him to publish in high-impact journals and reputable international conferences such as the Journal of Engineering Science and IEEE-affiliated proceedings. Among his achievements are influential publications co-authored with leading experts, which have attracted significant citations, showcasing the academic impact and practical relevance of his work. Dr. Jinhui Lin’s awards and honors further highlight his research excellence, with recognition for contributions in artificial intelligence and computer science research, reflecting not only the originality of his studies but also the broader societal relevance of his innovations.

Academic Profile: ORCID | Scopus | Google Scholar

Selected Publications:

  1. A Survey of Quantization Methods for Deep Neural Network Models – 2023

  2. Adaptive Rounding Compensation for Post-training Quantization – 2022

  3. Multi-View Optimization and Refinement for High-Fidelity 4D Gaussian Splatting – 2023

 

 

Argyris Tzouvelekis | Respiratory | Best Researcher Award

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Prof. Dr. Argyris Tzouvelekis | Respiratory | Best Researcher Award

Prof. Dr. Argyris Tzouvelekis | Respiratory | Department of Respiratory Medicine at University Of Patras | Greece

Prof. Dr. Argyris Tzouvelekis is a highly accomplished academic and clinician in the field of Respiratory Medicine, currently serving as Associate Professor at the University of Patras, Greece, and widely recognized for his influential contributions to idiopathic pulmonary fibrosis, interstitial lung diseases, and precision medicine. With a strong academic foundation supported by a Ph.D. in medical sciences, he has consistently demonstrated a rigorous and innovative approach to translational research that bridges molecular mechanisms with patient-centered therapies. His professional experience reflects a balance of clinical excellence, academic leadership, and international collaboration, which has positioned him as one of the leading voices in respiratory medicine worldwide. Prof. Dr. Argyris Tzouvelekis has dedicated his career to unraveling complex disease mechanisms, validating biomarkers, and designing innovative therapeutic interventions, as evidenced by his leadership in clinical trials and prospective studies on lung fibrosis and autoimmune-associated interstitial lung diseases. His research interests extend to exploring shared pathogenic mechanisms between pulmonary fibrosis and lung cancer, applying systems biology to respiratory disorders, and advancing the role of precision medicine in complex lung diseases. His skills span experimental design, clinical trial management, biomarker validation, advanced molecular biology, and data analysis, while his ability to lead interdisciplinary teams and cultivate global networks highlights his reputation as both a researcher and mentor. Prof. Dr. Argyris Tzouvelekis has published extensively in internationally reputed journals such as Nature Medicine, Chest, Annals of the Rheumatic Diseases, and American Journal of Respiratory and Critical Care Medicine, with over 6,900 citations, an h-index of 45, and an i10-index of 92, underscoring the impact and reach of his scholarly output. His awards and honors include recognition for his pioneering clinical and translational research, invitations to participate in international conferences, and active memberships in respected professional organizations such as the European Respiratory Society, where his contributions to advancing respiratory health and science are widely acknowledged. Throughout his career, he has been deeply committed to mentoring young researchers and physicians, strengthening academic training, and contributing to medical education at both national and international levels.

Academic Profile: ORCID | Scopus | Google Scholar

Selected Publications:

  1. Inhibition and role of let-7d in idiopathic pulmonary fibrosis – 2010 – Citations: 603

  2. Thyroid hormone inhibits lung fibrosis in mice by improving epithelial mitochondrial function – 2018 – Citations: 334

  3. A prospective, non-randomized, no placebo-controlled, phase Ib clinical trial to study the safety of the adipose derived stromal cells-stromal vascular fraction in idiopathic pulmonary fibrosis – 2013 – Citations: 306

  4. Pulmonary autotaxin expression contributes to the pathogenesis of pulmonary fibrosis – 2012 – Citations: 286

 

 

Ayşegül Kubilay | parasitology | Best Researcher Award

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Prof. Ayşegül Kubilay | parasitology | Best Researcher Award

Prof. Ayşegül Kubilay | parasitology | Professor at Isparta University of Applied Sciences | Turkey

Prof. Ayşegül Kubilay is a distinguished academic specializing in aquaculture, fish immunology, and aquatic animal diseases, whose career demonstrates excellence in research, teaching, and scientific contributions. She earned her doctoral degree in Fisheries Science with a focus on fish health and microbial interactions, equipping her with strong expertise in aquatic pathology, microbiology, and immunology, and she has since built a recognized academic profile within the global research community. Prof. Kubilay has held academic and research positions at the Faculty of Fisheries, Isparta University of Applied Sciences, where she has led multiple research projects addressing challenges in fish diseases, aquaculture health management, and sustainable farming practices. With over 26 indexed publications, 969 citations, and an h-index of 16, her research demonstrates a strong academic impact in advancing knowledge on stress physiology, fish vaccines, microbial communities, and disease resistance strategies in farmed species such as rainbow trout and seabream. Her professional experience includes close collaborations with researchers from institutions across Turkey and internationally, which have resulted in significant joint publications and contributions to advancing fish disease prevention and aquaculture sustainability. Prof. Kubilay’s research interests focus on oral and injectable vaccination, microbial interactions in fish farming, alternative anesthetics derived from medicinal plants, biofloc technology, and probiotic applications for improved fish immunity and health. She possesses strong research skills in experimental design, microbial diagnostics, immunological assays, and applied aquaculture techniques, combined with expertise in Scopus-indexed publications and conference presentations. She has also been involved in mentoring graduate students, developing innovative methodologies for disease control, and contributing to fisheries development projects supported by national and international agencies.

Academic Profile: Scopus | Google Scholar

Selected Publications:

  1. First occurrence of Streptococcosis affecting farmed rainbow trout (Oncorhynchus mykiss) in Turkey, 2002 – 128 Citations

  2. The effects of acute stress on rainbow trout (Oncorhynchus mykiss), 2002 – 106 Citations

  3. Oral vaccination against lactococcosis in rainbow trout (Oncorhynchus mykiss) using sodium alginate and poly (lactide-co-glycolide) carrier, 2010 – 83 Citations

  4. Operating parameters affecting biofloc technology: carbon source, carbon/nitrogen ratio, feeding regime, stocking density, salinity, aeration, and microbial community manipulation, 2021 – 46 Citations

 

 

Waseem Ahmad | Cosmology | Best Researcher Award

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Mr. Waseem Ahmad | Cosmology | Best Researcher Award

Mr. Waseem Ahmad | Cosmology | Lecturer Mathematics at University of Lahore | Pakistan

Mr. Waseem Ahmad is a dedicated university lecturer in mathematics from Pakistan, recognized for his unwavering commitment to education, research, and scholarly excellence. His academic journey began with a graduation in mathematics from the University of the Punjab, Lahore, followed by an MS in Mathematics from the University of Education, Lahore Campus, where he deepened his expertise in advanced mathematical theories and applications. Professionally, Mr. Waseem Ahmad has built a strong career as a lecturer, serving in multiple prestigious institutions including the University of Lahore, NUML University Lahore Campus, and the University of Education Lahore. In these roles, he has taught a wide spectrum of mathematical subjects such as numerical analysis, linear algebra, complex analysis, differential geometry, vector and tensor analysis, probability and statistics, multivariable calculus, and calculus with analytic geometry, reflecting both depth and diversity in his teaching expertise. His research interests are centered around non-linear partial differential equations, numerical analysis, mathematical modeling, and general relativity, with a particular focus on applying mathematical frameworks to address real-world scientific and physical challenges. Mr. Waseem Ahmad’s scholarly contributions are evident in his publications in high-impact international journals, including Scopus and Web of Science indexed outlets such as The European Physical Journal C and Physics of the Dark Universe. His research has gained recognition within the scientific community, leading to multiple collaborations with international researchers and co-authored works that explore the complexity and stability of dynamical systems, as well as gravitational and cosmological models in modified theories of gravity. His academic skills are complemented by strong research capabilities in modeling, problem-solving, advanced mathematical computation, and interdisciplinary application of mathematics to physics, further supported by proficiency in modern academic tools such as LaTeX, MATLAB, and other computational platforms. In addition to teaching and research, Mr. Waseem Ahmad has actively participated in several international conferences, presenting his work on applied mathematics, relativistic astrophysics, and gravitation at institutions including COMSATS Institute of Information Technology, University of Education Lahore, and the University of the Punjab. These engagements highlight his role in fostering academic exchange and his commitment to contributing to the global research community.

Academic Profile: Scopus

Selected Publications:

  1. Implications of minimal gravitational decoupling on compact models admitting Kohler–Chao–Tikekar spacetime in (A, 4D) theory – 2025

 

Ata Jameei Osgouei | Marketing | Best Researcher Award

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Assist. Prof. Dr. Ata Jameei Osgouei | Marketing | Best Researcher Award

Assist. Prof. Dr. Ata Jameei Osgouei | Marketing | Assistant Professor at Fairfield University | United States

Assist. Prof. Dr. Ata Jameei Osgouei is a dedicated scholar and Assistant Professor of Marketing at Fairfield University, widely recognized for his contributions to quantitative marketing, applied econometrics, structural modeling, and the integration of machine learning into consumer behavior research. With a Ph.D. in Marketing that focused on econometric applications to online search and consumer decision-making, Assist. Prof. Dr. Ata Jameei Osgouei built his academic foundation on rigorous empirical research and theoretical modeling, allowing him to address complex issues of market dynamics and consumer choice. His educational background shaped a strong quantitative orientation, which he has carried into his professional career where he has held positions that emphasize research, teaching, and international collaboration. In his professional experience, he has been involved in multi-institutional projects and co-authored studies with leading researchers across the globe, reflecting his capacity to contribute to both scholarly and applied dimensions of marketing science. His research interests span several key areas including online consumer search, the impact of social influence on decision-making, econometric methods for market research, and the application of machine learning models to understand large-scale data patterns in digital environments. These interests are matched with strong research skills in econometric analysis, structural modeling, predictive analytics, and interdisciplinary approaches that integrate marketing, economics, and data science. He has published in reputable journals such as Marketing Science and disseminated his research through platforms like SSRN, ensuring visibility and scholarly impact within the field. Assist. Prof. Dr. Ata Jameei Osgouei’s scholarly productivity includes peer-reviewed publications, conference presentations, and working papers that continue to generate citations and influence. His awards and honors include recognition for research excellence and invitations to collaborate with leading scholars in the field of quantitative marketing, marking him as a rising researcher with international influence. He also maintains professional memberships in prestigious associations such as the American Marketing Association (AMA), IEEE, and ACM, which strengthen his connections within the global academic and research community.

Academic Profile: ORCID | Google Scholar 

 Selected Publications:

  1. Estimating Position and Social Influence Effects in Online Search — Marketing Science, 2025

  2. Estimating Position and Social Influence Effects in Online Search: An Empirical Generalized Weitzman Model — SSRN, 2023

 

Olalekan Onisuru | Drug Discovery | Best Researcher Award

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Dr. Olalekan Onisuru | Drug Discovery | Best Researcher Award

Dr. Olalekan Onisuru | Drug Discovery | Research Associate at University of the Witwatersrand | South Africa

Dr. Olalekan Onisuru (PhD) is an accomplished scholar whose research contributions span the fields of structural biology, protein biochemistry, molecular and cell biology, and computer-aided drug design, with a strong focus on addressing infectious diseases of global significance. His academic journey culminated in a doctoral degree from the University of the Witwatersrand, South Africa, where he advanced his expertise in structural and molecular biosciences, equipping him with the analytical and experimental skills required to explore the structural and biochemical mechanisms underlying disease pathogenesis. Building upon this foundation, Dr. Olalekan Onisuru has developed a professional career marked by impactful publications, international collaborations, and innovative projects aimed at combating diseases such as malaria and Lassa fever. His professional experience includes active participation in multidisciplinary research initiatives and contributions to both computational and empirical methodologies, thereby bridging the gap between theoretical drug design and laboratory validation. His research interests are diverse yet strategically focused on protein-ligand interactions, drug resistance mechanisms in Plasmodium species, therapeutic applications of nanoparticles, and the development of computational models that can accelerate the discovery of effective drug candidates against emerging and re-emerging infectious diseases. Complementing his thematic interests, Dr. Olalekan Onisuru has cultivated strong research skills in structural characterization, protein-ligand docking, molecular dynamics simulations, enzyme biochemistry, and high-throughput virtual screening approaches, while also being proficient in applying advanced bioinformatics tools to large-scale biological data. His publication record demonstrates a trajectory of increasing impact, with Scopus-indexed articles in reputed journals including Viruses, Biochemical and Biophysical Research Communications, Journal of Biomolecular Structure and Dynamics, and International Journal of Biological Macromolecules, contributing to a citation count of 74, an h-index of 4, and an i10-index of 2, underscoring the growing recognition of his scholarly work. Beyond research output, Dr. Olalekan Onisuru has played leadership roles within academic and professional circles by mentoring students, participating in collaborative research networks, and contributing as a reviewer for peer-reviewed journals, thereby strengthening the global research community.

Academic Profile: ORCID | Scopus | Google Scholar

Selected Publications:

  1. Combating Lassa fever in West African sub-region: Progress, challenges, and future perspectives – 2023 – Citations: 39

  2. Glutathione S-transferase: A versatile and dynamic enzyme – 2024 – Citations: 23

  3. Evaluation of Plasmodium berghei Models in Malaria Research – 2024 – Citations: 4

  4. Describing the ligandin properties of Plasmodium falciparum and vivax glutathione transferase towards bromosulfophthalein from empirical and computational studies – 2024 – Citations: 4

 

 

Annalisa Barsotti | Telemedicine | Best Researcher Award

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Assist. Prof. Dr. Annalisa Barsotti | Telemedicine | Best Researcher Award

Assist. Prof. Dr. Annalisa Barsotti | Telemedicine | Researcher Assistant at Scuola Superiore Sant’Anna | Italy

Assist. Prof. Dr Annalisa Barsotti is an accomplished academic and researcher in the fields of Artificial Intelligence, Machine Learning, Causal Inference, and Data Management. With her interdisciplinary expertise, she has advanced computational methods that link human neural and muscular activities with adaptive technologies. Her scholarly work bridges neuroscience, data analytics, and intelligent systems, establishing her as a rising leader in digital innovation and biomedical informatics. She is widely recognized for her contributions to signal processing, causal discovery frameworks, and cross-domain transfer learning that address real-world clinical and industrial challenges.

Academic Profile:

ORCID

Scopus

Google Scholar

Education:

Dr Barsotti has pursued rigorous academic training in computer science and applied machine learning, culminating in a doctoral degree focused on predictive analytics and causal modeling. Her academic path has been strengthened by advanced studies in leading European institutions, where she developed specialization in EEG/EMG signal synchronization and human-computer interaction systems. Her education provided the foundation for integrating computational intelligence with neuroscience, a theme that continues to define her research trajectory.

Experience:

Currently serving as Assistant Professor at Scuola Superiore Sant’Anna, Dr Barsotti has contributed to cutting-edge projects involving clinical brain-body imaging, data-driven health monitoring, and digital transformation in telecommunication domains. Her collaborative engagements span multidisciplinary teams, including biomedical engineers, neuroscientists, and computer scientists, with whom she has delivered impactful research outcomes. She has also presented her work in major international conferences under IEEE and other reputed platforms, highlighting her global presence in the research community. Alongside academic contributions, she has been actively involved in mentoring graduate students, guiding them in experimental design, data analysis, and the responsible application of AI technologies.

Research Interest:

Her research interests encompass artificial intelligence applications in health, causal inference for complex systems, machine learning algorithms for predictive modeling, and transfer learning under partial information frameworks. She has worked extensively on integrating EEG and EMG signals to enhance neuroadaptive technologies, applied machine learning techniques for clinical diagnostics, and conducted domain-specific studies in telecommunications churn prediction. By blending causal discovery with data management, her research addresses both the theoretical depth and applied value of AI systems in contemporary digital transformation.

Awards:

Dr Barsotti’s contributions have been recognized through invitations to contribute in international conferences and collaborations across leading research institutions. Her work has drawn significant academic attention, with her highly cited papers being used by peers in neuroscience, biomedical engineering, and AI. Her inclusion in Scopus and Google Scholar metrics demonstrates the global recognition of her impact, with a growing citation record and a steadily increasing h-index.

Selected Publications:

  • Effective synchronization of EEG and EMG for mobile brain/body imaging in clinical settings (2018) – 43 citations

  • Muscle fatigue evaluation with EMG and acceleration data: a case study (2020) – 13 citations

  • A decade of churn prediction techniques in the telco domain: a survey (2024) – 6 citations

  • Heterogeneous transfer learning from a partial information decomposition perspective (2023) – 1 citation

Conclusion:

Assist. Prof. Dr Annalisa Barsotti exemplifies the qualities of a scholar dedicated to both research excellence and societal progress. Her impactful publications, growing citation metrics, and collaborative engagements demonstrate her capability to shape the future of AI, machine learning, and biomedical data analytics. By contributing to both applied and theoretical domains, she has built a foundation that promises sustained leadership in academic and professional communities. With her demonstrated commitment to innovation and global collaboration, she is a deserving nominee for research awards and recognition platforms, representing the potential to advance the next generation of AI-driven solutions for society.