Amel Latifi | Quantitative Research | Research Excellence Award

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Prof. Amel Latifi | Quantitative Research | Research Excellence Award

Aix-Marseille Université-CNRS | France

Amel Latifi is a Professor of Microbiology at Aix-Marseille University, where he leads the research team focused on Differentiation, Evolution, and Adaptation in Cyanobacteria and directs the Master programs in Microbiology. He earned his PhD in Cellular Biology with a specialization in Microbiology in 1996, investigating mechanisms regulating virulence factor production in Pseudomonas aeruginosa. Following postdoctoral research in Lausanne and academic appointments in Grenoble and Marseille, he established a research program centered on gene regulation, cell differentiation, and stress-response mechanisms in cyanobacteria, with additional contributions to bacterial genetics, oxidative-stress responses, and biohydrogen production. Over his career, he has coordinated multiple funded research projects, including FunDate, Otolhyd, and Cyanhy, advancing understanding of prokaryotic signaling and metabolism. His extensive publication record reflects long-standing collaborations in microbial genomics, environmental microbiology, and synthetic biology. Latifi has served in elected roles within national academic committees and university governance, contributing to scientific training and educational policy. His work has supported advancements in sustainable biotechnology, microbial physiology, and cyanobacterial metabolism. Overall, his career integrates fundamental microbial science with applied research aimed at environmental and energy-related challenges.

Profiles : Orcid | Scopus

Featured Publications

Independence of a Marine Unicellular Diazotroph to the Presence of NO₃⁻, Microorganisms, 2021 — S. Rabouille, B. Randall, A. Talec, P. Raimbault, T. Blasco, A. Latifi, A. Oschlies

Stress Signaling in Cyanobacteria: A Mechanistic Overview, Life, 2020 — R. Rachedi, M. Foglino, A. Latifi

 

Chao Yin | Data Analysis | Research Excellence Award

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Dr. Chao Yin | Data Analysis | Research Excellence Award

Shandong Women’s University | China

Chao Yin is an Associate Professor of Marketing at the Faculty of Management, Shandong Women’s University, where she specializes in green development, low-carbon strategies, supermarket operations, and agricultural product logistics. She earned her Doctorate in Enterprise Management with a marketing focus from Beijing Jiaotong University, following a master’s degree from the Capital University of Economics and Business and a bachelor’s degree in marketing from Qingdao University. Before entering academia, she gained practical industry experience as a marketing manager at Qingdao AEON Dongtai Co., Ltd., which continues to inform her applied research approach. Her scholarly work appears in reputable journals, including Q1 and Q2 outlets, addressing themes such as logistics information systems, sustainable development performance, emissions trajectories, and corporate green innovation. She has also contributed to international symposiums with studies on resource integration and “Farming-Supermarket” supply-chain mechanisms. In the classroom, she teaches courses on marketing management and chain enterprise operations, integrating theory with practice to support student development. Recognized for her growing contributions to sustainability and operations research, her work aims to advance environmentally responsible management strategies and promote efficient, low-carbon business practices for future economic and societal benefit.

Profile : Scopus

Featured Publications

Yin, C., Zhang, M., Zhang, Y., & Wu, W. (2020). Business service network node optimization and resource integration based on the construction of logistics information systems. Information Systems and e-Business Management, 18, 723–746. (Q2)

Yin, C. Research on optimization of mixed distribution of chain supermarket based on resource integration. Management Review.

Yin, C. (2015). Research on the Key Issues of “Farming-Supermarket” Docking under the Background of “Internet Plus”. Proceedings of the 2nd International Symposium on Management, Innovation and Development (MID2015).

Yin, C., & Liu, P. (2025). Knowledge-driven green cognition: the impact of enterprise innovation in sustainable development performance. (Q2)

Yin, C., & Bo, Y. (2025). China’s emissions trajectory: Integrating resource management and energy transition strategies. (Q1)

Vaishali Sharma | Neuroscience Data Analysis | Best Researcher Award

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Dr. Vaishali Sharma | Neuroscience Data Analysis | Best Researcher Award

Post Graduate Institue of Medical Education and Research (PGIMER) | India

Dr. Vaishali Sharma is a Senior Research Fellow at the Department of Neurology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, specializing in neurobiology, neuroinflammation, and sleep disorders. She earned her Ph.D. in Neurology (2020–2025) from PGIMER, focusing on the role of aquaporins, heat shock proteins, and neuroinflammatory markers in idiopathic intracranial hypertension (IIH) and their correlation with clinical parameters. She also holds a master’s degree in Zoology and a bachelor’s in Medical Science. Her research encompasses molecular biomarkers, blood-brain barrier disruption, circadian rhythm disturbances, and the evaluation of sleep and headache disorders, combining clinical, translational, and systematic review approaches. Dr. Sharma has contributed to multiple peer-reviewed publications and conference presentations, investigating psychiatric and sleep abnormalities, migraine care, and IIH pathophysiology. She has been recognized with several awards and fellowships, including CSIR and ICMR travel grants, best poster awards, and national and international research fellowships. Her professional activities extend to academic leadership and organizing conferences in neuro-ophthalmology and neurology. Dr. Sharma’s work advances the understanding of neuroinflammatory mechanisms, sleep disorders, and headache pathophysiology, providing insights for improved diagnosis, treatment, and quality of life for patients with neurological disorders.

Profile : Google Scholar

Featured Publications

Choudhary, N., Kumar, A., Sharma, V., Kaur, K., Kharbanda, P. S., Baishya, J., et al. (2024). “Effectiveness of CBT for reducing depression and anxiety in people with epilepsy: A systematic review and meta-analysis of randomized controlled trials.” Epilepsy & Behavior, 151, 109608.

Sharma, V., Chakravarty, K., Ray, S., Lal, V., & Takkar, A., Kharbanda, P. (2021). “Evaluation of prevalence and severity of obstructive sleep apnea using overnight-polysomnography in patients with idiopathic intracranial hypertension.” Journal of the Neurological Sciences, 429.

Sharma, V., Chakravarty, K., & Ray, S. (2023). “Questionnaire-based evaluation of sleep abnormality in patients with primary headache disorder: A cross-sectional study from tertiary care centre.” Journal of the Neurological Sciences, 455.

Sharma, S. R. V., & Chakravarty, K. (2023). “Questionnaire-based assessment of sleep abnormalities in patients with migraine: A cross-sectional study with a comparison group.” Annals of Indian Academy of Neurology, 26, S186.

Sharma, A. T. K., Chakravarty, K., Lal, V., & Kharbanda, P. S., et al. (2022). “Sleep and headache characteristics in patients with idiopathic intracranial hypertension (IIH) – An observational study.” Annals of Indian Academy of Neurology, 25, S296–S297.

Lining Huang | Bioinformatics | Research Excellence Award

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Mr. Lining Huang | Bioinformatics | Research Excellence Award

The Second Hospital of Hebei Medical University | China

Dr. Huang is a distinguished researcher and attending physician specializing in perioperative neuroscience, with a Ph.D. in anesthesiology from Hebei Medical University. His career has centered on elucidating the molecular pathways through which blood–brain barrier dysfunction contributes to neurocognitive decline in aging surgical populations. Integrating molecular biology, neuroimaging, immunology, and microbiome science, he has established a multidisciplinary research program that advances understanding of the vascular–immune mechanisms driving perioperative neurocognitive disorders. From anesthesia-induced neurotoxicity in early studies to complex “vascular-immune–microbiome” interactions in recent work, his contributions span preclinical models, translational investigations, and clinical cohort studies. He has served as principal investigator on more than ten major funded projects, including multiple National Natural Science Foundation of China grants, and has earned notable distinctions such as the Hebei Province Science and Technology Progress Award and several first-prize Hebei Medical Science Awards. His commitment to academic scholarship includes translating Miller’s Anesthesia, editing national textbooks, and co-authoring expert consensus guidelines that shape anesthesiology education and practice nationwide. With a portfolio of influential publications and six national patents in airway-management innovations, Dr. Huang continues to advance therapeutic development and scientific knowledge in surgical brain protection and perioperative cognitive health.

Profile : Scopus

Featured Publications

SPP1-mediated crosstalk between macrophages and fibroblasts promotes benign airway stenosis. (2025). Archives of Biochemistry and Biophysics.

Association between preoperative blood–brain barrier permeability and postoperative delirium in older patients undergoing cardiac surgery: a pilot study. (2025). Aging Clinical and Experimental Research.

Central neuropeptides as key modulators of astrocyte function in neurodegenerative and neuropsychiatric disorders. (2025).

Neonatal sevoflurane exposure disrupted fatty acids metabolism, leading to hypomyelination and neurological impairments. (2025). Biomedicine and Pharmacotherapy.

Mauro Gallegati | computational economics | Best Researcher Award

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Prof. Mauro Gallegati | computational economics | Best Researcher Award

Università Politecnica delle Marche | Italy

Mauro Gallegati is an influential economist internationally recognized for his contributions to complexity economics, agent-based modeling, and financial instability analysis. He serves as a Full Professor at the Università Politecnica delle Marche, building on earlier academic appointments at the Universities of Teramo, Pescara, and Urbino. His academic foundation includes a Laurea in Political Science and a PhD in Economics under the supervision of Hyman Minsky, shaping his long-standing interest in credit dynamics, business fluctuations, and systemic risk. Over the course of his career, he has held numerous visiting positions at leading global institutions, including Cambridge, Stanford, MIT, Columbia, Kyoto, ETH Zurich, Santa Fe Institute, and the Bank of International Settlements, reflecting the international demand for his expertise. His research encompasses econophysics, income distribution, macroeconomic network models, credit propagation, and financial fragility, resulting in widely cited publications and collaborations with scholars such as Stiglitz, Battiston, and Greenwald. He has coordinated major European research projects, contributed to editorial leadership across multiple journals and book series, and received notable distinctions including the JEBO Best Paper Prize, the WEHIA Prize, DOSI Prize, KNAPP Prize, and Presidential Medals. He continues to advance interdisciplinary economic research and the development of agent-based methodologies for understanding complex economic systems.

Profile : Google Scholar

Featured Publication

Battiston, S., Gatti, D.D., Gallegati, M., Greenwald, B., & Stiglitz, J.E. (2012). “Liaisons dangereuses: Increasing connectivity, risk sharing, and systemic risk” in Journal of Economic Dynamics and Control, 36(8), 1121–1141.

Caiani, A., Godin, A., Caverzasi, E., Gallegati, M., Kinsella, S., & Stiglitz, J.E. (2016). “Agent based-stock flow consistent macroeconomics: Towards a benchmark model” in Journal of Economic Dynamics and Control, 69, 375–408.

Gatti, D.D., Di Guilmi, C., Gaffeo, E., Giulioni, G., Gallegati, M., & Palestrini, A. (2005). “A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility” in Journal of Economic Behavior & Organization, 56(4), 489–512.

Battiston, S., Gatti, D.D., Gallegati, M., Greenwald, B., & Stiglitz, J.E. (2007). “Credit chains and bankruptcy propagation in production networks” in Journal of Economic Dynamics and Control, 31(6), 2061–2084.

Tola, V., Lillo, F., Gallegati, M., & Mantegna, R.N. (2008). “Cluster analysis for portfolio optimization” in Journal of Economic Dynamics and Control, 32(1), 235–258.

Diamant Thaci | Emerging Research Trends | Best Researcher Award

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Prof. Dr. Diamant Thaci | Emerging Research Trends | Best Researcher Award

Universität zu Lübeck | Germany

Prof. Dr. med. Diamant Thaçi is a leading dermatologist and inflammation medicine expert whose career spans clinical practice, translational research, and academic leadership. After completing a postdoctoral fellowship and receiving a DAAD Scholarship for highly talented young scientists, he specialized in dermatology and venereology and advanced through key roles at J.W. Goethe University Frankfurt, including Senior Physician for dermatological clinical research and chronic inflammatory skin diseases. He later earned his venia legendi and held a W2 Professorship before assuming major leadership positions at the University of Lübeck, where he currently directs the Institute for Inflammation Medicine, the Excellence Center for Inflammation Medicine, and the Inflammation Board. His research focuses on atopic dermatitis, psoriasis, psoriatic arthritis, and novel immunomodulatory therapies, contributing extensively to pivotal international clinical trials. With 379 documents, 20,448 citations by 13,334 documents, and an h-index of 68, he is recognized as a Highly Cited Researcher and serves on multiple international councils and editorial boards. His awards include the Theodor Stern Foundation Prize and multiple distinctions from EADV and other societies. Overall, he is regarded as one of the most influential figures in modern inflammation and dermatology research.

Profiles : Scopus | Orcid

Featured Publications

Curman, P., Thaçi, D., & Ludwig, R. J. (2025). “Increased Cardiovascular Risk in Chronic Spontaneous Urticaria: A Large Real-World Cohort Study” in Allergy.

Lebwohl, M., Gooderham, M. J., Warren, R. B., Thaçi, D., Foley, P., Gottlieb, A. B., Torres, T., Popmihajlov, Z., Jou, Y.-M., Linaberry, M., et al. (2025). “Outcomes of Psoriasis Area and Severity Index (PASI) and PASI components in two phase III trials of deucravacitinib in patients with moderate to severe plaque psoriasis” in Clinical and Experimental Dermatology.

Olbrich, H., Kridin, K., Zirpel, H., Hernandez, G., Sadik, C. D., Gaffal, E., Thaçi, D., & Ludwig, R. J. (2025). “Glucagon-like peptide-1 receptor agonists and reduced mortality, cardiovascular and psychiatric risks in patients with psoriasis: a large-scale cohort study” in British Journal of Dermatology.

Alfarsi, S., Recke, A., Gaffal, E., Klein, J. P., Zirpel, H., Kridin, K., Thaçi, D., Olbrich, H., Bieber, K., & Ludwig, R. J. (2025). “Increased risk of psychiatric disease in patients with prurigo nodularis” in British Journal of Dermatology.

Thaçi, D., Ohtsuki, M., Maul, J.-T., Szegedi, A., Luna, P. C., Lynde, C. W., Soliman, A. M., Wang, H., Kaufmann, C., Ashley, D. G., et al. (2025). “Correction: Real-World Effectiveness of Risankizumab in Patients with Moderate-to-Severe Psoriasis: Interim Analysis from the VALUE Global Prospective Post-marketing Observational Study at 25 Months” in Dermatology and Therapy.

Vilma Petkova | Qualitative Research | Best Researcher Award

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Prof. Vilma Petkova | Qualitative Research | Best Researcher Award

Institute of Mineralogy and Crystallography “Acad. Ivan Kostov”, Bulgarian Academy of Sciences | Bulgaria

Prof. Vilma Petkova is an eminent chemist-engineer and researcher specializing in inorganic materials science, crystallography, thermal analysis, and environmentally clean technologies. She holds a Ph.D. in Chemical Technology and Metallurgy and has over three decades of academic and research experience, serving in positions ranging from Assistant Professor to full Professor at the Institute of Mineralogy and Crystallography, Bulgarian Academy of Sciences, and New Bulgarian University. Her research spans inorganic substances, nanomaterials, cement and construction materials, fertilizers, solid-phase kinetics, thermal and X-ray analysis, spectroscopy, and eco-friendly materials. Prof. Petkova has supervised numerous bachelor, master, and Ph.D. students, actively participated in over 130 national and international conferences, and contributed to more than 193 publications, including 89 indexed in IF/SJR journals, accumulating 904 citations across 744 documents with an h-index of 18. She has led and participated in national and international research projects, served on scientific councils, editorial boards, and accreditation panels, and received recognition for her leadership in thermal analysis and materials science. Her expertise integrates material characterization, environmental chemistry, biotechnology, and sustainable development. Prof. Petkova continues to advance research, mentor emerging scientists, and contribute to global knowledge in material science and chemistry, promoting innovations that balance technological progress with environmental sustainability.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Petkova, V., Mihaylova, K., Serafimova, E., Titorenkova, R., Tsvetanova, L., & Trikkel, A. (2025). “Impact of High Energy Milling and Mineral Additives on a Carbonate–Quartz–Apatite System for Ecological Applications.” Materials.

Petkova, V., Mihaylova, K., Kaljuvee, T., & Piroeva, I. (2025). “Induced structural changes within a natural apatite-calcite system via short-time mechanochemical activation.” Materials Chemistry and Physics.

Petkova, V., Stoyanov, V., Mihaylova, K., & Kostova, B. (2025). “Impact of pozzolanic and inert powders on the microstructure and thermal chemistry of cement mortars.” Ceramics International.

Stoyanov, V., Petkova, V., Mihaylova, K., & Shopska, M. (2024). “A Study of the Influence of Thermoactivated Natural Zeolite on the Hydration of White Cement Mortars.” Materials.

Serafimova, E., & Petkova, V. (2022). “BTEX exposure in indoor air in schools in Bulgaria.” IOP Conference Series: Materials Science and Engineering.

Piotr Porwik | Machine Learning and AI Applications | Best Researcher Award

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Prof. Dr. Piotr Porwik | Machine Learning and AI Applications | Best Researcher Award

University of Silesia | Poland

Prof. Dr. Piotr Porwik is a full professor in the Institute of Computer Science at the University of Silesia in Katowice, specializing in engineering and technical sciences. He earned his M.Sc. in computer science from the University of Silesia in 1978, his Ph.D. in 1985, and completed his habilitation in 2006 at AGH University of Science and Technology in Krakow. His research spans machine learning, biometrics, image processing, biomedical imaging, and spectral methods for Boolean functions. Across his career, he has authored 81 scientific documents that have attracted 1,003 citations from 783 citing documents, and he holds an h-index of 17. He has published extensively in journals, international conferences, books, and book chapters, while also supervising Master’s and Ph.D. students. Prof. Porwik has served in major academic leadership roles, including Deputy Dean and Director of the Institute, and played a key role in shaping academic publishing as Editor-in-Chief of the Journal of Medical Informatics and Technologies. His achievements have been recognized through numerous distinctions, including the Bronze Cross of Merit and multiple awards from the President of the University of Silesia for scientific accomplishments. His work continues to advance biometric security, classifier development, and biomedical informatics, underscoring his long-standing academic influence and research innovation.

Profiles : Scopus | Orcid

Featured Publications

Wrobel, K., Porwik, P., & Orczyk, T. (2025). “Evaluation of the Effectiveness of Ranking Methods in Detecting Feature Drift in Artificial and Real Data” in (Book) / Lecture Notes in?

Mensah Dadzie, B., & Porwik, P. (2025). “Feature-Based Drift Detection in Non-stationary Data Streams Using Multiple Classifiers: A Comprehensive Analysis” in (Book)

Porwik, P., Orczyk, T., Wrobel, K., & Mensah Dadzie, B. (2025). “A Novel Method for Drift Detection in Streaming Data Based on Measurement of Changes in Feature Ranks” in Journal of Artificial Intelligence and Soft Computing Research, (DOI: 10.2478/jaiscr-2025-0008).

Porwik, P., Orczyk, T., & Japkowicz, N. (2024). “Supervised and Unsupervised Analysis of Feature Drift in a New Type of Detector” in Preprint (Research Square)

Porwik, P., Orczyk, T., & Doroz, R. (2022). “A Stable Method for Detecting Driver Maneuvers Using a Rule Classifier” in Lecture Notes in Computer Science

Ashutosh K Giri | Engineering | Best Researcher Award

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Dr. Ashutosh K Giri | Engineering | Best Researcher Award

Government Engineering College Bharuch | India

Dr. Ashutosh K. Giri is an Assistant Professor in the Department of Electrical Engineering at Government Engineering College, Bharuch, Gujarat, India, with over 20 years of teaching and research experience. He earned his Ph.D. from Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, focusing on control algorithms for power quality issues in wind-based distributed power generation systems. He also holds an M.E. in Electrical Engineering from L.D. College of Engineering, Gujarat University, and a B.Tech in Electrical Engineering from G.B. Pant University of Agriculture and Technology, Pantnagar. Dr. Giri’s research interests include renewable energy power converters, microgrid topology, operation and control, power quality enhancement, electric vehicle technologies, and adaptive control algorithms. He has published extensively in leading journals including IEEE, IET, Springer, Wiley, Elsevier, and Taylor & Francis, authored and edited multiple international books, and contributed to state- and national-level funded research projects. His work has been cited 478 times across 234 documents, with an h-index of 14, reflecting his significant impact in the field. Recognized among the top 2% of scientists globally, Dr. Giri continues to advance research and innovation in distributed generation systems and renewable energy, mentoring students and contributing to the scientific community through high-quality research and academic leadership.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Joshi, D., Deb, D., & Giri, A. K. (2025). “Metaheuristic adaptive input output feedback linearization control for BLDC motor drive” in IEEE Transactions on Consumer Electronics.

Kanojia, S. S., Suthar, B. N., & Giri, A. K. (2025). “Hybrid optimization approach for optimal location of electric vehicle charging station (EVCS) in distribution network considering voltage stability” in Smart Grids and Sustainable Energy.

Kundu, S., Giri, A. K., & Kadiyan, S. (2025). “An adaptive mixed-step size normalized least means fourth control approach for stand-alone power generation system considering dynamic conditions” in IEEE Journal of Emerging and Selected Topics in Power Electronics.

Bhatt, K. A., Bhalja, B. R., & Giri, A. K. (2024). “Controlled single-phase auto-reclosing technique for shunt reactor compensated lines in electrical energy systems transmission lines” in International Journal of Ambient Energy.

Parmar, D. B., & Giri, A. K. (2024). “Integration of field-oriented and steady-state linear Kalman filter control in PMSG-based grid-connected system for improving voltage control and power balance operation” in Electrical Engineering.

Modafar Ati | Machine Learning and AI Applications | Best Researcher Award

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Assoc. Prof. Dr. Modafar Ati | Machine Learning and AI Applications | Best Researcher Award

Abu Dhabi University | United Arab Emirates

Assoc. Prof. Dr. Modafar Ati is an accomplished academic and researcher in Computer Science and Information Technology with extensive experience in teaching, curriculum development, and leadership. He holds a BSc in Electrical & Communication Engineering and a PhD in Electrical & Computing Engineering from Newcastle upon Tyne, UK. Dr. Ati has over three decades of experience in both academia and industry, serving in senior roles including Associate Professor at Abu Dhabi University, Acting Dean at Sohar University, and Assistant Dean at multiple institutions in Oman. His professional expertise spans software development, systems integration, networking, ICT, project management, Service-Oriented Architecture (SOA), Artificial Intelligence, Big Data, Cybersecurity, and eHealth smart systems. He has published numerous research articles focusing on AI-driven Chronic Disease Management and smart healthcare systems and has led research groups in eGovernment and ICT. Dr. Ati has received multiple grants and awards, including the Chancellor Innovation Award, and serves on editorial boards and as a senior reviewer for international journals and conferences. His teaching portfolio covers programming, network security, project management, human-computer interaction, and mobile application development. Dr. Ati’s contributions to education, research, and innovation reflect a strong commitment to advancing technology-driven solutions in healthcare, smart cities, and digital systems.

Profile : Google Scholar

Featured Publications

Hussein, A. S., Omar, W. M., Li, X., & Ati, M. (2012). “Efficient chronic disease diagnosis prediction and recommendation system” in 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 209–214.

Mohamed, O., Kewalramani, M., Ati, M., & Al Hawat, W. (2021). “Application of ANN for prediction of chloride penetration resistance and concrete compressive strength” in Materialia, 17, 101123.

Mohamed, O. A., Ati, M., & Najm, O. F. (2017). “Predicting compressive strength of sustainable self-consolidating concrete using random forest” in Key Engineering Materials, 744, 141–145.

Hussein, A. S., Omar, W. M., Li, X., & Ati, M. (2012). “Accurate and reliable recommender system for chronic disease diagnosis” in Global Health, 3(2), 113–118.

Ati, M., Kabir, K., Abdullahi, H., & Ahmed, M. (2018). “Augmented reality enhanced computer aided learning for young children” in 2018 IEEE Symposium on Computer Applications & Industrial Electronics.