Marco Zanotti | Data Science | Best Researcher Award

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Mr. Marco Zanotti | Data Science | Best Researcher Award

Mr. Marco Zanotti | University of Milan-Bicocca | Italy

Marco Zanotti is an accomplished Machine Learning Engineer and Data Scientist specializing in time series analysis, forecasting, anomaly detection, and econometrics. With extensive experience across sectors such as e-commerce fashion, tourism, aviation, and digital services, he has played a key role in designing and improving advanced forecasting systems that drive data-informed business decisions. He currently serves as a Data Scientist and Forecasting Specialist at Wanan Luxury (Rome, Italy), following previous positions at Blogmeter, T-Voice, and Uvet Amex GBT, where he contributed to predictive modeling, machine learning optimization, and process automation. In academia, Marco is an Adjunct Professor at the University of Milan and other leading Italian universities, where he teaches modern time series forecasting, machine learning, programming, and statistics at both Bachelor’s and Master’s levels. He holds a Ph.D. in Statistics from the University of Milano-Bicocca, a Post-graduate Diploma in Data Science for Economics, Business and Finance, and an M.Sc. in Economics and Finance from the University of Milan. Fluent in Italian, English, and French, Marco is proficient in R, Python, SQL, Git, Shiny, and Google Cloud Platform. A member of the International Institute of Forecasters, he is passionate about bridging the gap between academic research and industrial applications, mentoring young data scientists, and advancing the science of predictive analytics.

Profile: Orcid

Featured Publications

Zanotti, M. (2025, December). On the retraining frequency of global models in retail demand forecasting. Machine Learning with Applications. https://doi.org/10.1016/j.mlwa.2025.100769

Zanotti, M., & Mazzucchelli, L. (2021). dispositionEffect [Research protocol or software].

Mr. Ehsan Esmaeeli | Research Excellence | Best Researcher Award | 2537

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Mr. Ehsan Esmaeeli | Research Excellence | Best Researcher Award

Mr. Ehsan Esmaeeli | Sharif University of Technology | Iran

Ehsan Esmaeeli, a dedicated researcher in Maintenance and Reliability Engineering at Sharif University of Technology, exemplifies excellence in research, innovation, and professional expertise. His scholarly contributions span maintenance optimization, reliability modeling, and intelligent asset management systems, integrating AI and hybrid optimization techniques. With multiple publications in high-impact international journals such as IEEE Access and Journal of Quality in Maintenance Engineering, his work has advanced the understanding of data-driven maintenance strategies and sustainable industrial operations. A Certified Maintenance and Reliability Professional (CMRP), Asset Management Assessor (CAMA), and Reliability Leader (CRL), Ehsan bridges academic research with industrial practice, fostering innovation that enhances system reliability and operational efficiency.

Profile: Scopus | Orcid

Featured Publications

Esmaeeli, E., Collins, A. J., Varmazyar, M., & Khorshidnia, M. (2025). Agent-based modeling applications in maintenance systems: A systematic review. Journal of Quality in Maintenance Engineering, 31(3), 325–349. https://doi.org/10.1108/JQME-03-2024-0028

Li Wang | Quantum Computing | Young Scientist Award

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Dr. Li Wang | Quantum Computing | Young Scientist Award 

Dr. Li Wang | Lu Dong University | China

My name is Wang Li, female. I obtained my Doctor’s degree from Northeast Normal University . Currently, I hold the position of Associate Professor at the School of Physics and Optoelectronic Engineering, Ludong University.​ My research field focuses on the theoretical simulation and property study of optoelectronic materials, where I have been committed to exploring the intrinsic mechanisms and application potentials of various optoelectronic materials through systematic theoretical analysis and simulation methods.​ In the past five years, I have achieved remarkable progress in scientific research:​ Research Projects: I presided over 1 Young Scientists Fund Project of the National Natural Science Foundation of China and 1 Doctoral Fund Project of the Shandong Provincial Natural Science Foundation. Additionally, I participated in 2 General Program Projects of the National Natural Science Foundation of China, making positive contributions to the advancement of related research directions.​ Academic Papers: As the first author or corresponding author, I have published 20 papers indexed in SCI. Among these, 10 are classified as TOP papers in the 2nd District of the Chinese Academy of Sciences (CAS), 6 belong to the 2nd District of CAS, and 3 are in the 3rd District of CAS. These works have provided valuable references for peers in the field of optoelectronic materials.​ In 2023, in recognition of my outstanding contributions to young scientific research in the field of optical engineering, I was honored with the Youth Science and Technology Award of the Shandong Optical Engineering Society.​ Looking forward, I will continue to deepen my research in the field of optoelectronic materials, strive for more innovative achievements, and promote the development and application of related disciplines.​

Profile: Orcid

Featured Publications

Wang, L., Xu, X., & Li, R. (2026). Platelet transfusion and mortality in critically ill patients with gastrointestinal bleeding and thrombocytopenia: A retrospective cohort study. The American Journal of Emergency Medicine. https://doi.org/10.1016/j.ajem.2025.09.035

Wang, L., Xu, X., Wang, S., Li, R., & Zhang, P. (2025). Red blood cell alloimmunization in transfused patients with myelodysplastic syndromes: A retrospective study from northern China. Laboratory Medicine. https://doi.org/10.1093/labmed/lmae056

Tang, Y., Wang, L., Zhu, M., Yang, M., Zhong, K., Du, Q., Zhang, H., & Gui, M. (2015). Association of mtDNA M/N haplogroups with systemic lupus erythematosus: A case-control study of Han Chinese women. Scientific Reports, 5, 10817. https://doi.org/10.1038/srep10817

Luis Martin Pomares | Renewable Resources | Best Researcher Award

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Dr. Luis Martin Pomares | Renewable Resources | Best Researcher Award

Dr. Luis Martin Pomares | DEWA R&D | United Arab Emirates

A distinguished solar energy expert and research scientist, with over two decades of professional experience spanning solar resource assessment, satellite-based irradiance modeling, and renewable energy forecasting. His career bridges applied research, data analytics, and large-scale solar project development, contributing to the advancement of sustainable energy systems worldwide. Currently serving as a Principal Scientist and Program Director at the Dubai Electricity and Water Authority (DEWA) R&D Center, he leads initiatives in solar resource assessment, satellite image processing, and deep learning-based solar forecasting. His work includes developing data pipelines for solar forecasting using modern AI frameworks such as TensorFlow and Keras, and managing BSRN radiometric stations for high-precision solar measurements. Previously, he was a Scientist at Qatar Foundation’s QEERI, where he directed the development of the Solar Atlas of Qatar and applied remote sensing methods for regional solar mapping. Earlier, as President and Project Developer at Investigaciones y Recursos Solares Avanzados (IrSOLaV), he managed multi-megawatt PV and CSP projects across several continents and pioneered forecasting systems integrating Numerical Weather Prediction (NWP) and satellite-based nowcasting models. His expertise encompasses radiative transfer modeling, atmospheric physics, GIS-based solar mapping, and energy system simulation. He has contributed extensively to IEA Solar Heating and Cooling Tasks 36 and 46, COST Action 1002, and EU FP7 projects on solar nowcasting. He is also an active reviewer for leading journals such as Solar Energy, Journal of Solar Energy Engineering, and Atmospheric Measurement Techniques. Academically, he holds a Ph.D. in Physical Sciences (Cum Laude) from the Complutense University of Madrid, with a dissertation on solar radiation prediction using statistical methods. His publication record includes numerous peer-reviewed papers and book chapters on solar resource modeling, machine learning applications in energy forecasting, and site adaptation of solar datasets.

Profile: Google Scholar

Featured Publications

Valappil, V. K., & Martin-Pomares, L. (2025). Characterizing solar attenuation for concentrated solar power plants in Dubai using AERONET data and libRadtran. Solar Energy, 302, 114082.

Sanfilippo, A., Martin-Pomares, L., & Polo, J. (2025). Solar resources mapping: Fundamentals and applications. Springer Nature.

Nie, Y., Paletta, Q., Scott, A., Martin-Pomares, L. M., Arbod, G., Sgouridis, S., Lasenby, J., et al. (2024). Sky image-based solar forecasting using deep learning with heterogeneous multi-location data: Dataset fusion versus transfer learning. Applied Energy, 369, 123467.

Rezk, M., Tiwari, V. K., Manandhar, P., Krishnan, V., & Martin-Pomares, L. M. (2024). A CNN-based classifier for quality image selection from sky cameras. Proceedings of the 7th International Conference on Signal Processing and Information Technology (ICSPIT).

Manandhar, P., Tiwari, V. K., Rezk, M., Krishnan, V., & Martin-Pomares, L. M. (2024). Convolutional deep learning hierarchical classifier to identify synoptic sky conditions based on sky images. Proceedings of the 7th International Conference on Signal Processing and Information Technology (ICSPIT).

Martin-Pomares, L., Ghaoud, T., Al Khaja, T. T., Alemadi, A., Ahmed, M. S. M. M., et al. (2024). Sea water salinity estimation over Dubai using satellite imagery & WASI empirical model approach: Application to SpaceD DEWASAT-2 nanosatellite. Proceedings of the 7th International Conference on Signal Processing and Information Technology (ICSPIT).

Vandi Dlama Kamaunji | Research Excellence | Best Researcher Award

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Dr. Vandi Dlama Kamaunji | Research Excellence | Best Researcher Award

Dr. Vandi Dlama Kamaunji | Tyeeli New Energy Company Limited | Nigeria

Dr. Vandi Dlama Kamaunji is a geologist and geochemist with a strong background in mineral exploration, petrology, geochemistry, and geological mapping. His professional experience spans academic, industrial, and research roles, focusing on the geological evolution, petrogenesis, and mineralization of alkaline and peralkaline complexes in Nigeria and China. He has served as an Exploration/Resource Geologist at Wanrun Mining Company Limited, where he led geological field surveys, core logging, mineral resource estimations, and geophysical data interpretation to support mineral exploration and development projects. His work also included environmental impact assessments, data management, and regulatory compliance. Previously, as a Part-Time Lecturer at Adamawa State University, he delivered courses in ore deposits and geochemistry, supervised research projects, and contributed to curriculum development and academic mentorship. Earlier in his career, he held a leadership role as Head of Geology at L&T Hydrogeo-Engineering Company, where he conducted geophysical surveys, oversaw mineral exploration operations, and managed multidisciplinary geological teams. Dr. Kamaunji’s research contributions include multiple publications in high-impact international journals such as Lithos, International Geology Review, Geological Journal, and Journal of African Earth Sciences. His studies cover diverse topics such as tectonomagmatic processes, isotopic geochemistry, remote sensing applications, and mineral resource potential in Nigeria’s basement complexes and ring structures. His scientific expertise encompasses mineralogy, isotope and trace-element geochemistry, ore deposit modeling, and analytical techniques such as EPMA, LA-ICP-MS, ICP-MS, XRF, and SEM. He is actively engaged in international collaborations and professional organizations, including the International Association of Geochemistry, European Association of Geochemistry, Society of Economic Geologists, and the Nigerian Mining and Geoscience Society. Dr. Kamaunji has received several academic and merit awards, including the Excellent Graduate Award (Ph.D.) and the Excellent Master’s Dissertation Award from the China University of Geosciences, as well as the prestigious Chinese Government Scholarships for both his Master’s and Doctoral studies.

Profile: Google Scholar

Featured Publications

Kamaunji, V. D., Wang, L. X., Ahmed, H. A., Zhu, Y. X., Vincent, V. I., & Girei, M. B. (2020). Coexisting A1 and A2 granites of Kudaru Complex: Implications for genetic and tectonic diversity of A-type granite in the Younger Granite Province, north-central Nigeria. International Journal of Earth Sciences, 109(2), 511–535. https://doi.org/10.1007/s00531-020-01818-8

Kamaunji, V. D., Wang, L. X., Ma, C. Q., Liu, J., & Zhu, Y. X. (2021). Petrogenesis and tectonic implication of the Permian–Triassic syenogranites from the eastern segment of the East Kunlun Orogen, China. Lithos, 402, 105932. https://doi.org/10.1016/j.lithos.2020.105932

Vincent, V. I., Wang, L. X., Zhu, Y. X., Kamaunji, V. D., Ahmed, H. A., Ntekim, E. E., & Cao, L. (2022). Onset of the anorogenic alkaline magmatism in the Nigerian Younger Granite Province: Constraints from the Daura and Dutse complexes. Lithos, 410, 106561. https://doi.org/10.1016/j.lithos.2021.106561

Vincent, V. I., Li, H., Girei, M. B., Förster, M. W., & Kamaunji, V. D. (2023). Tourmaline and zircon trace the nature and timing of magmatic-hydrothermal episodes in granite-related Sn mineralization: Insights from the Libata Sn ore field. American Mineralogist, 108(3), 552–571. https://doi.org/10.2138/am-2023-8334

Ahmed, H. A., Wang, L. X., Ma, C. Q., Abdallsamed, M. I. M., Girei, M. B., Zhu, Y. X., Vincent, V. I., & Kamaunji, V. D. (2021). Contrasting Neoproterozoic and Mesozoic granitoids in Zaranda Complex (Nigeria): Insights into the distinct origins, tectonic settings, and mineralization potential. International Journal of Earth Sciences, 110(4), 1389–1413. https://doi.org/10.1007/s00531-021-02021-z

 

Yunsong Mu | Emerging Technologies | Best Researcher Award

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Prof. Yunsong Mu | Emerging Technologies | Best Researcher Award

Prof. Yunsong Mu | Renmin University | China

Professor Yunsong Mu is an accomplished environmental toxicologist and academic leader serving as Vice Dean at the School of Chemistry and Life Resources, Renmin University of China. His pioneering research integrates computational toxicology and risk assessment to address the health impacts of emerging environmental pollutants. With over 50 Scopus-indexed publications, two authored books, and 20 patents, he has made significant contributions to environmental science innovation and policy. His groundbreaking GNN-based immunotoxicity prediction framework offers transformative tools for pollutant risk evaluation. Recognized by national and international bodies, Professor Mu exemplifies excellence in environmental research and scientific leadership.

Profile: Scopus

Featured Publications

Mu, Y., et al. (2025). Machine learning-driven 3D-QSAR models facilitated rapid on-site broad-spectrum immunoassay of (fluoro)quinolones using evanescent wave fiber-embedded optofluidic biochip. Biosensors and Bioelectronics.

Mu, Y., et al. (2025). Advances and perspectives on the life-cycle impact assessment of personal protective equipment in the post-COVID-19 pandemic.

Mu, Y., et al. (2025). Application of machine learning in nanotoxicology: A critical review and perspective.

Mu, Y., et al. (2024). Predicting the water ecological criteria of copper using machine learning and multiple linear regression approaches. Zhongguo Huanjing Kexue (China Environmental Science).

Kristine Hallisy | Innovation Impact | Best Researcher Award

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Assoc. Prof. Dr. Kristine Hallisy | Innovation Impact | Best Researcher Award

Assoc. Prof. Dr. Kristine Hallisy | University of WI-Madison | United States

Dr. Kristine Marie (Kristi) Hallisy, PT, DSc, is an Associate Professor (CHS) in the Department of Family Medicine and Community Health at the University of Wisconsin–Madison School of Medicine and Public Health. She plays a pivotal role in the Doctor of Physical Therapy Program, where she integrates clinical expertise with innovative teaching practices. Dr. Hallisy’s professional focus lies in advancing physical therapy education, promoting evidence-based practice, and fostering interprofessional collaboration. Her research interests include clinical education models, patient-centered care, and strategies for enhancing student learning and professional identity formation. With years of academic and clinical experience, she has contributed to shaping future healthcare professionals through mentorship and curriculum development. She is actively involved in institutional service and community outreach initiatives that strengthen health education and practice. Dr. Hallisy has presented her work at national and international conferences and has published in peer-reviewed journals related to physical therapy and health sciences education. She emphasizes compassionate, ethical, and holistic approaches to healthcare delivery. Her leadership reflects a deep commitment to improving health outcomes and educational quality. Known for her collaborative spirit, she bridges the gap between research and clinical practice. Dr. Hallisy continues to inspire excellence among students, educators, and practitioners alike.

Profile: Orcid

Featured Publications

Salihu, E. Y., Hallisy, K., Baidoo, S., Malta, J. S., Ferrill, C., Melgoza, F., Sandretto, R., Culotti, P. C., & Chewning, B. (2025). Feasibility and acceptability of a “Train the Leader” model for disseminating Tai Chi Prime with fidelity in African American/Black and Latinx communities: A pilot mixed-methods implementation study. Healthcare, 13(20), 2622. https://doi.org/10.3390/healthcare13202622

Ajit Yadav | Research Excellence | Best Researcher Award

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Mr. Ajit Yadav | Research Excellence | Best Researcher Award

Mr. Ajit Yadav | Indian Institute of Technology Indore | India

Mr. Ajit Yadav is a Ph.D. Scholar in Electrical Engineering at the Indian Institute of Technology (IIT) Indore, specializing in two-dimensional transition metal dichalcogenide (2D-TMD)-based IoT-enabled biosensors for early disease detection. His research integrates nanomaterials synthesis via chemical vapor deposition (CVD) with smart sensor technology, enabling real-time and highly sensitive biomolecule detection. He has two granted patents on point-of-care diagnostic systems and toxic gas detection technologies and has published three peer-reviewed papers in leading SCI-indexed journals such as the IEEE Sensors Journal and Journal of Electroanalytical Chemistry. His collaborative projects with AIIMS Bhopal and RMIT University, Australia, strengthen the biomedical application and global impact of his work. Through innovative sensor design, IoT integration, and interdisciplinary collaboration, Mr. Yadav’s research contributes to the advancement of portable, scalable, and intelligent biosensing platforms, supporting the future of personalized healthcare and environmental monitoring.

Profile: Orcid | Google Scholar

Featured Publications

Verma, V. K., Patel, C., Chaudhary, S., Yadav, A., Bajoria, P., Ako, R. T., Sriram, S., & Mukherjee, S. (2025). Pd-loaded MoS₂ nanoflowers for enhanced room-temperature methanol sensing. IEEE Sensors Journal, 25(2), 2186–2193. https://doi.org/10.1109/JSEN.2024.3506014

Yadav, A., Patel, C., Kanwar, J. R., Sriram, S., & Mukherjee, S. (2025). Miniaturized IoT-enabled MoS₂-based electrochemical sensor for real-time adenine monitoring. Journal of Electroanalytical Chemistry, 119564. https://doi.org/10.1016/j.jelechem.2025.119564

Yadav, A., Patel, C., Verma, V. K., Kanwar, J. R., Sriram, S., & Mukherjee, S. (2025). A point-of-care and IoT-enabled MoS₂-based sensor for uric acid detection in human serum. IEEE Sensors Journal, 25(20), 37714–37721. https://doi.org/10.1109/JSEN.2025.3609535

Iffat Prianka | Public Health | Best Researcher Award

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Assist. Prof. Dr. Iffat Prianka | Public Health | Best Researcher Award

Assist. Prof. Dr. Iffat Prianka | Ibrahim Medical College | Bangladesh

Dr. Iffat Tania Prianka is an accomplished public health researcher and academic with extensive experience in community medicine, preventive and social medicine, and epidemiology. She holds an M. Phil. in Preventive and Social Medicine and an MPH in Epidemiology, and is currently pursuing a PhD. Her academic contributions include research on autism awareness among medical students, internet addiction, physical exercise practices among diabetic patients, and mental stress in infertile women. Dr. Prianka has served in diverse roles including Lecturer and Assistant Professor at Ibrahim Medical College, Senior House Physician at United Hospital Dhaka, and Lead Medical Officer and Public Health Expert at Fera Foundation, USA. She has significant experience in research methodology, data analysis, manuscript preparation, and public health program implementation. Her professional development includes international training in medical education, research methodology, data interpretation, and faculty development programs. She has presented at international conferences, received awards for academic excellence, and published multiple peer-reviewed research articles in reputable journals. Dr. Prianka is proficient in statistical software (SPSS, STATA) and skilled in scientific communication, teaching, and community health research.

Profile: Orcid

Featured Publications

Prianka, I. T., Haque, W., Jahan, N., Saha, M., Prity, T. T., & Gupta, P. K. S. (2022). Knowledge and attitude on early sign of autism among 1st year to 3rd year medical students in a selected medical college in Bangladesh. International Journal of Medical Research and Pharmaceuticals, 9(9).

Jahan, N., Idris, M. R., Prianka, I. T., & Gupta, P. K. S. (2022). Internet addiction and its determinants among medical students in Dhaka City during COVID-19 pandemic. International Journal of Medical Research and Pharmaceuticals, 9(12).

Sungyoung Yoon | Engineering Achievements | Best Researcher Award

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Dr. Sungyoung Yoon | Engineering Achievements | Best Researcher Award

Dr. Sungyoung Yoon | Samsung Electronics | South Korea

Dr. Sungyoung Yoon is a distinguished plasma engineer specializing in the development of advanced plasma devices for semiconductor manufacturing. He currently serves as a Principal Engineer at Samsung Electronics, where he leads innovations in remote plasma sources (RPS), PECVD plasma uniformity control, and selective etching processes for next-generation V-NAND and 3D memory devices. He earned his Ph.D. in Nuclear Engineering with a focus on plasma physics and engineering from Seoul National University, where his research explored hydroxyl radical generation mechanisms in electrolyte streamer discharges. His academic foundation and technical expertise have driven a prolific career bridging plasma diagnostics, numerical modeling, and applied plasma engineering. Before joining Samsung, Dr. Yoon worked as a Senior Researcher at the Korea Institute of Fusion Energy (KFE) and as a Postdoctoral Associate at Seoul National University, where he contributed to projects involving plasma chemistry, optical diagnostics, and radical generation for industrial and biomedical applications. Dr. Yoon has authored SCI-indexed publications in leading journals such as Plasma Sources Science and Technology, Scientific Reports, and Physical Review Plasmas, and holds over a dozen international patents across Korea, the U.S., Taiwan, and China. His recent research explores metamaterials for plasma control, phase-controlled etching, and dual-frequency plasma systems.

Profile: Google Scholar

Featured Publications

Yoon, S.-Y., Jeon, H., Yi, C., Park, S., Ryu, S., & Kim, S. B. (2018). Mutual interaction between plasma characteristics and liquid properties in AC-driven pin-to-liquid discharge. Scientific Reports, 8(1), 12037. https://doi.org/10.1038/s41598-018-30466-9

Kang, K. A., Ryu, Y. S., Piao, M. J., Shilnikova, K., Kang, H. K., Yi, J. M., Boulanger, M., … Yoon, S.-Y., … Hyun, J. W. (2018). DUOX2-mediated production of reactive oxygen species induces epithelial mesenchymal transition in 5-fluorouracil resistant human colon cancer cells. Redox Biology, 17, 224–235. https://doi.org/10.1016/j.redox.2018.04.008

Baek, K. H., Yong, H. I., Yoo, J. H., Kim, J. W., Byeon, Y. S., Lim, J., Yoon, S.-Y., Ryu, S., & Jo, C. (2020). Antimicrobial effects and mechanism of plasma activated fine droplets produced from arc discharge plasma on planktonic Listeria monocytogenes and Escherichia coli O157:H7. Journal of Physics D: Applied Physics, 53(12), 124002. https://doi.org/10.1088/1361-6463/ab6cb0

Lee, J. Y., Kim, K. H., Park, S. Y., Yoon, S.-Y., Kim, G. H., Lee, Y. M., Rhyu, I. C., & Seol, Y. J. (2019). The bactericidal effect of an atmospheric-pressure plasma jet on Porphyromonas gingivalis biofilms on sandblasted and acid-etched titanium discs. Journal of Periodontal & Implant Science, 49(5), 319–329. https://doi.org/10.5051/jpis.2019.49.5.319

Kang, K. A., Piao, M. J., Eom, S., Yoon, S.-Y., Ryu, S., Kim, S. B., Yi, J. M., & Hyun, J. W. (2020). Non-thermal dielectric-barrier discharge plasma induces reactive oxygen species by epigenetically modifying the expression of NADPH oxidase family genes in keratinocytes. Redox Biology, 37, 101698. https://doi.org/10.1016/j.redox.2020.101698