Category: Biography

Ricardo Osorio | Medicine and Dentistry | Best Researcher Award

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Dr. Ricardo Osorio | Medicine and Dentistry | Best Researcher Award

NYU Grossman School of Medicine, United States

Dr. Ricardo Osorio is a distinguished neuropsychiatrist and researcher specializing in the intersection of sleep, aging, and neurodegenerative disorders, particularly Alzheimer’s disease. He earned his M.D. from Universidad Autónoma de Madrid (Spain) in 2001, followed by multiple master’s degrees in Psychotherapy, Neuroscience, and Neuropsychology from Universidad Comillas and Universidad Complutense, Madrid, with a focus on executive function and cognitive aging. His clinical training includes residencies in psychiatry at 12 de Octubre Hospital, Madrid, internships in neurology at McGill University, Montreal, and neuropsychiatry at the Institute of Neurology, London, as well as postdoctoral neuroscience training at NYU Langone Health. Dr. Osorio’s professional career encompasses roles as attending psychiatrist in several Spanish hospitals, research scientist at Alzheimer’s Project Research Unit (CIEN Foundation) in Madrid, and progressive academic appointments at NYU School of Medicine and the Healthy Brain Aging and Sleep Center, where he is now a tenured associate professor. His research interests focus on sleep disorders as risk factors for neurodegeneration, slow-wave sleep and sleep spindle physiology, memory consolidation, and advanced neuroimaging techniques including PET imaging of glucose metabolism, amyloid, and tau in normal aging, cognitive decline, and Alzheimer’s disease. He possesses expertise in clinical psychiatry, cognitive assessment, neuroimaging analysis, sleep research methodologies, and interdisciplinary translational research. Dr. Osorio has received numerous awards and honors, including international fellowships, the Spanish National Psychiatry Residents Research Award, the Anne Elizabeth Suratt Young Investigator Award, and departmental mentorship recognitions. He has authored 130 publications, accumulated 9,893 citations, and holds an h-index of 44, reflecting his impactful contributions to science and clinical practice. Dr. Osorio’s work bridges neuroscience and clinical application, advancing understanding of cognitive aging, informing early detection strategies for Alzheimer’s disease, and contributing to the development of interventions that benefit patients and society at large, marking him as a leading figure in neuropsychiatric research and aging studies.

Profiles: Scopus | ORCID

Featured Publications

  1. Bernard, M. A., Boutajangout, A., Debure, L., Ahmed, W., Briggs, A. Q., Boza-Calvo, C., Vedvyas, A., Marsh, K., Bubu, O. M., Osorio, R. S., et al. (2024, July 10). The relationship between anxiety and levels of Alzheimer’s disease plasma biomarkers. Preprint.

  2. Iosifescu, D. V., Song, X., Gersten, M. B., Adib, A., Cho, Y., Collins, K. M., Yates, K. F., Hurtado-Puerto, A. M., McEachern, K. M., Osorio, R. S., et al. (2023, July 13). Protocol report on the transcranial photobiomodulation for Alzheimer’s disease (TRAP-AD) study. Healthcare, 11(14), 2017.

  3. Parasoglou, P., Osorio, R. S., Khegai, O., Kovbasyuk, Z., Miller, M., Ho, A., Dehkharghani, S., Wisniewski, T., Convit, A., Mosconi, L., et al. (2022, December). Phosphorus metabolism in the brain of cognitively normal midlife individuals at risk for Alzheimer’s disease. Neuroimage: Reports, 2, 100121.

  4. Lal, C., Ayappa, I., Ayas, N., Beaudin, A. E., Hoyos, C., Kushida, C. A., Kaminska, M., Mullins, A., Naismith, S. L., Osorio, R. S., et al. (2022, August). The link between obstructive sleep apnea and neurocognitive impairment: An official American Thoracic Society workshop report. Annals of the American Thoracic Society, 19(8), 1250–1267.

  5. Teipel, S., Bruno, D., Plaska, C. R., Heslegrave, A., Ramos-Cejudo, J., Osorio, R. S., Zetterberg, H., Blennow, K., & Pomara, N. (2021, October). Association of CSF sTREM2, a marker of microglia activation, with cholinergic basal forebrain volume in major depressive disorder. Journal of Affective Disorders, 295, 1017–1025.

Dr. Ricardo Osorio’s work advances the understanding of sleep and neurodegenerative disorders, particularly Alzheimer’s disease, by identifying early risk factors and therapeutic targets. His research bridges neuroscience and clinical practice, improving strategies for diagnosis, prevention, and intervention, thereby benefiting patients, healthcare systems, and society globally.

Yasmin Shabeer | Chemical Engineering | Best Researcher Award

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Ms. Yasmin Shabeer | Chemical Engineering | Best Researcher Award

University of Waterloo, Canada

Yasmin Shabeer is a highly motivated Ph.D. candidate in Chemical Engineering with a specialization in Electrochemical Engineering and Battery Systems, currently pursuing her doctorate at the University of Waterloo under the supervision of Dr. Michael Fowler. She holds a B.Tech in Rubber and Plastics Technology from Anna University, India, and has gained extensive research experience in high-energy-density aluminum-air batteries, lithium-ion thermal modeling, metal-air battery comparative studies, and corrosion analysis of Al6061 electrodes. Her research focuses on integrating experimental electrochemical techniques, such as electrochemical impedance spectroscopy (EIS), distribution of relaxation time (DRT) analysis, linear sweep voltammetry (LSV), and cyclic voltammetry (CV), with advanced data-driven approaches including machine learning models for predicting polarization behavior, corrosion current density, and impedance parameters, alongside life cycle assessment (LCA) for environmental sustainability. She has contributed to the design, prototyping, and optimization of battery systems through systematic experimental studies, collaboration with industry partners like AlumaPower and Stellantis, and applied modeling using MATLAB, COMSOL, Python, and simulation software for design-of-experiments (DoE). Yasmin has authored five peer-reviewed publications with 111 citations and an h-index of 4, reflecting the impact of her work on the field of sustainable energy storage. She has been recognized with awards including the Bhattacharyya Award, Mitacs Graduate Fellowship, Devani Charities Graduate Award, and International Master’s Award of Excellence, highlighting her academic excellence, innovation, and leadership potential. Beyond research, she has served as a teaching assistant, laboratory manager, Mitacs mentor, and graduate student leader, demonstrating her commitment to education, mentorship, and community engagement. With expertise spanning electrochemical systems, material characterization, battery optimization, AI-assisted modeling, and sustainability analysis, Yasmin combines scientific rigor, interdisciplinary collaboration, and practical innovation, positioning her as a promising future leader in clean energy technology, electrochemical research, and sustainable battery solutions.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

  1. Mevawalla, A., Shabeer, Y., Tran, M. K., Panchal, S., Fowler, M., & Fraser, R. (2022). Thermal modelling utilizing multiple experimentally measurable parameters. Batteries, 8(10), 147

  2. Madani, S. S., Shabeer, Y., Allard, F., Fowler, M., Ziebert, C., Wang, Z., & Panchal, S. (2025). A comprehensive review on lithium-ion battery lifetime prediction and aging mechanism analysis. Batteries, 11(4), 127.

  3. Shabeer, Y., Madani, S. S., Panchal, S., Mousavi, M., & Fowler, M. (2025). Different metal–air batteries as range extenders for the electric vehicle market: A comparative study. Batteries, 11(1), 35.

  4. Madani, S. S., Allard, F., Shabeer, Y., Fowler, M., Panchal, S., & Ziebert, C. (2025). Exploring the aging dynamics of lithium-ion batteries for enhanced lifespan understanding. Journal of Physics: Conference Series, 2968(1), 01201.

  5. Shabeer, Y., Madani, S. S., Panchal, S., & Fowler, M. (2025). Performance optimization of high energy density aluminum–air batteries: Effects of operational parameters and electrolyte composition. Future Batteries, 100082.

Yasmin Shabeer’s work advances the development of high-performance, sustainable energy storage systems by integrating experimental electrochemistry, machine learning, and life cycle assessment. Her research directly contributes to cleaner energy technologies, efficient battery design for electric vehicles, and environmentally responsible industrial applications, driving innovation in both science and industry.

Fehmida Rashied | Chemistry | Best Researcher Award

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Ms. Fehmida Rashied | Chemistry | Best Researcher Award

NIT Srinagar, India

Ms. Fehmida Rashied is a promising researcher in the field of Analytical and Organic Chemistry, currently associated with the Department of Chemistry at the National Institute of Technology (NIT) Srinagar, India. She holds a Master’s degree in Chemistry from the University of Kashmir (2022) and a Bachelor of Science degree from the same institution, with a strong academic foundation in chromatographic and spectroscopic techniques. Throughout her academic and research journey, she has developed extensive expertise in analytical instrumentation, including HPLC, GC, LC-MS/MS, GC-MS/MS, and ICP-MS/MS, with a focus on pesticide residue analysis, natural product extraction, and method validation for heavy metal detection in environmental and biological samples. Her professional experience includes hands-on training at premier research centers such as SKUAST-Kashmir and the Geological Survey of India, where she deepened her understanding of chromatographic and spectroscopic applications in food and environmental chemistry. Ms. Rashied’s research interests encompass chromatography, spectroscopy, mass spectrometry, organic chemistry, toxicology, and the development of natural product-based antimicrobial polymer composites. She has contributed to impactful publications in reputed journals such as Fitoterapia and Journal of Biomedical Chromatography, reflecting her analytical proficiency and dedication to scientific advancement. Her research skills span sample preparation, extraction, quantification, and validation, demonstrating precision and reliability in chemical analysis. She has presented her work at multiple national and international conferences, showcasing her commitment to academic exchange and professional growth. Recognized for her enthusiasm, creativity, and analytical rigor, she continues to enhance her expertise in modern analytical technologies. With growing scientific recognition and a drive for innovation, Ms. Fehmida Rashied aspires to advance sustainable analytical methods for food safety, natural product research, and environmental protection, contributing significantly to the global field of applied and analytical chemistry.

Profile: Scopus

Featured Publication

  1. Dudwal, R., Jakhar, B. L., Pathan, A. R. K., Kataria, A., Jan, I., Kakralya, B. L., Dhaka, S. R., Hussain, A., Bana, J. K., Babu, S. R., Yadav, A. K., & Rashied, F. (2023). The effect of different decontamination processes on the residues of Fipronil and its metabolites in chilli fruits (Capsicum annum). Journal of Biomedical Chromatography.

  2. Yatoo, G. N., Bhat, B. A., Zubaid-ul-Khazir, M., Asif, M., Bhat, S. A., Gulzar, F., Rashied, F., Wani, A. H., Ahmed, I., Zargar, S. M., Mir, M. A., & Banday, J. A. (2024). Network pharmacology and experimental insights into STAT3 inhibition by novel isoxazole derivatives of piperic acid in triple negative breast cancer. Fitoterapia.

  3. Jan, I., Rashied, F., Malik, N. A., Mukhtar, M., Dudwal, R., & Kataria, A. (2024). Detection of pesticide residues in fruits and vegetables involving different chromatographic techniques (LC–MS/MS, GC–MS/MS, GC, and HPLC). Journal of Biomedical Chromatography.

Ms. Fehmida Rashied’s work advances scientific and societal progress through the development of reliable analytical methods for detecting pesticide residues and heavy metals, ensuring food and environmental safety. Her research bridges chemistry and public health, contributing to sustainable agricultural practices and global innovation in analytical and environmental chemistry.

Ilhem Kadri | Mathematics | Best Researcher Award

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Dr. Ilhem Kadri | Mathematics | Best Researcher Award

Oran 1 Ahmed Ben Bella University, Algeria

Dr. Ilhem Kadri is an accomplished Associate Professor of Applied Mathematics at the University of Oran 1, Algeria, with a Ph.D. in Applied Mathematics from the University of Jordan (2022) and a Master’s in Applied Mathematics from the University of Oran 1. Her educational foundation, including a Licence in Mathematics and early scientific training in Algeria, laid the groundwork for her expertise in fractional calculus, nonlinear partial differential equations, fractional differential equations, numerical and analytical methods, mathematical computing, and systems of differential equations. Throughout her career, Dr. Kadri has demonstrated strong professional engagement in both research and academic development, contributing significantly to applied and computational mathematics and exploring innovative analytical and numerical methods for solving complex differential systems. Her research interests include the study of atomic solutions, non-equilibrium dynamics, weak chaos in Hamiltonian and driven systems, and computational modeling using fractional and conformable differential equations. Dr. Kadri is proficient in LaTeX, Scientific Workplace, Mathematica, and MATLAB, enabling her to design and implement robust computational frameworks and advanced mathematical models. She has actively disseminated her research through international conferences and workshops, including events in Turkey, Greece, India, Malaysia, and Pakistan, and has authored 4 research documents, accumulating 10 citations with an h-index of 2, reflecting her growing impact in the field. Her academic contributions are complemented by her dedication to mentoring students and promoting research excellence in applied mathematics. Dr. Kadri’s awards and honors underscore her scholarly promise, while her work continues to bridge theoretical and computational approaches to complex mathematical phenomena. Her research vision emphasizes the integration of fractional calculus and computational techniques to address emerging challenges in science and engineering, demonstrating her potential to advance both the theoretical foundations and practical applications of mathematics, contributing significantly to global innovation, industrial solutions, and societal advancement.

Profiles: Scopus | ORCID | Google Scholar | ResearchGate

Featured Publications

  1. Kadri, I., Al-Horani, M., & Khalil, R. (2022). Solution of non-linear fractional Burger’s type equations using the Laplace transform decomposition method. Results in Nonlinear Analysis, 5(2), 131–150.

  2. Kadri, I., Al Horani, M., & Khalil, R. (2023). Solution of fractional Laplace type equation in conformable sense using fractional Fourier series with separation of variables technique. Results in Nonlinear Analysis, 6(2), 53–59.

  3. Kadri, I., Horani, M., & Khalil, R. (2020). Tensor product technique and fractional differential equations. Journal of Semigroup Theory and Applications, Article ID 6.

  4. Ahmed, A. I., Elbadri, M., Alotaibi, A. M., Ashmaig, M. A. M., Dafaalla, M. E., & Kadri, I. (2025). Chaos and dynamic behavior of the 4D hyperchaotic Chen system via variable-order fractional derivatives. Mathematics, 13(20), 3240.

  5. Kadri, I., Saadeh, R. S., AlMutairi, D. M., Dafaalla, M. E., Berir, M., & Abdoon, M. A. (2025). Analytical and numerical investigation of a fractional order 4D chaotic system via Caputo fractional derivative. European Journal of Pure and Applied Mathematics, 18(3), 6381.

Dr. Ilhem Kadri’s work advances the understanding and application of fractional and nonlinear differential equations, providing robust computational tools for modeling complex systems. Her research contributes to scientific innovation, supports industrial problem-solving, and enables the development of advanced technologies with broad societal impact.

Prof. Zhanwei Liu | Computer Science | Excellence in Innovation Award

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Prof. Zhanwei Liu | Computer Science | Excellence in Innovation Award

School of Information Science and Technology, China

Professor Zhanwei Liu is a highly accomplished scholar and master’s supervisor at Shijiazhuang Tiedao University, China, recognized for his pioneering work in intelligent optimization algorithms, computer vision, and cross-disciplinary engineering applications. He holds extensive academic and research experience in algorithmic design, system modeling, and real-world engineering integration. His educational and professional background reflects a deep commitment to advancing the convergence of artificial intelligence and complex systems, with a focus on improving computational efficiency, convergence precision, and robustness in metaheuristic algorithms. As a Professor at the School of Computer and Information Technology, he has played a pivotal role in developing and leading first-class undergraduate programs, mentoring graduate students, and fostering innovation-driven research. His research interests encompass swarm intelligence optimization, multi-UAV path planning, deep learning-based image enhancement, and intelligent system modeling for digital twin and smart infrastructure applications. With a strong command of algorithm development, AI-based modeling, data-driven optimization, and visual computing, Professor Liu has successfully contributed to several national and provincial-level projects, including digital twin platforms and structural health monitoring systems for major high-speed railway networks in China. His research excellence has been recognized through numerous awards and honors, including the Hebei Youth Science and Technology Innovation Award, First and Second Prizes for Scientific and Technological Progress, and Industry-University-Research Collaboration Innovation Award. He also holds more than 20 invention and utility model patents and has received 10 provincial-level industry awards, highlighting his strong innovation and practical problem-solving skills. In conclusion, Professor Zhanwei Liu exemplifies a dynamic blend of academic rigor, engineering innovation, and leadership, driving transformative advances in intelligent systems and digital technologies that contribute meaningfully to global scientific and industrial progress.

Profile: Scopus

Featured Publication

  1. Study of course system adjustment mechanism based on the employment needs. Conference Name.

Professor Zhanwei Liu’s work advances intelligent optimization algorithms and AI-driven engineering solutions, enabling more efficient, precise, and robust system designs. His contributions in multi-UAV path planning, computer vision, and digital twin platforms promote innovation in infrastructure, transportation, and industrial automation, benefiting science, industry, and society globally.

Indrani Ray | Electrical Engineering | Best Researcher Award

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Dr. Indrani Ray | Electrical Engineering | Best Researcher Award

IIT Kharagpur, India

Dr. Indrani Ray is a dedicated researcher and academician specializing in Electronics and Communication Engineering, with a strong focus on optical communication systems, modulation techniques, and photonic circuit design. She earned her B.Tech degree in Electronics and Communication Engineering from Bengal College of Engineering and Technology, Durgapur, in 2005, followed by an M.Tech from the National Institute of Technology, Durgapur, in 2008. She later pursued her Ph.D. at the University of Huddersfield, United Kingdom, where her doctoral thesis titled “Analysis of Offset Pulse Position Modulation” under the supervision of Dr. Martin Sibley made significant contributions to enhancing the efficiency and performance of optical modulation schemes for high-speed data communication. Professionally, Dr. Ray has accumulated valuable academic and research experience, having served as an Assistant Professor at Techno India University, Salt Lake, and later as a Senior Research Fellow and currently as a Women Scientist-A at the Indian Institute of Technology (IIT) Kharagpur. Her research interests encompass optical and wireless communication, circuit theory, antenna design, and signal processing, with an emphasis on developing innovative transceiver systems and improving the reliability of data transmission in optical channels. She possesses strong research skills in circuit design, spectral characterization, electromagnetic analysis, and system performance evaluation, supported by expertise in simulation tools and advanced analytical modeling. Dr. Ray has published four peer-reviewed journal articles in reputed SCI-indexed journals, including IET Optoelectronics and Journal of Lightwave Technology, reflecting her growing academic influence with eight citations and an h-index of two. She is a recipient of the prestigious Grand Challenge Engineering Scholarship awarded by the Royal Academy of Engineering (UK) in recognition of her academic excellence and research potential. In conclusion, Dr. Indrani Ray stands out as a passionate researcher committed to advancing optical communication technologies and bridging the gap between theoretical research and practical engineering innovation, contributing meaningfully to scientific progress and global technological development.

Profile: Scopus

Featured Publications

  1. Ray, I., Dadi, K. V. S. S., & Biswas, K. (2025). Design and performance analysis of solid-state fractional capacitor-based trans-receiver system. International Journal of Circuit Theory and Applications.

  2. Ray, I., Sibley, M. J. N., & Mather, P. J. (2015). Spectral characterization of offset pulse position modulation. IET Optoelectronics, 9, 300–306.

  3. Ray, I., Sibley, M. J. N., & Mather, P. J. (2012). Performance analysis of offset pulse position modulation over optical channel. Journal of Lightwave Technology, 30, 325–330.

  4. Ray, I., Khan, M., Mondal, D., & Bhattacharjee, A. K. (2008). Effect on resonant frequency for E-plane mutually coupled microstrip antennas. Progress in Electromagnetics Research Letters, 3, 133–140.

  5. Khan, M., Ray, I., Mandal, D., & Bhattacharjee, A. K. (2008). Comparative study of the resonant frequency of E-plane and H-plane coupled microstrip patch antennas. Progress in Electromagnetics Research C, 1, 241–249.

Dr. Indrani Ray’s work advances the field of optical and wireless communication by developing efficient modulation and transceiver systems that enhance data transmission reliability and speed. Her research contributes to the evolution of next-generation communication technologies, driving innovation in science and industry while supporting global connectivity and digital transformation.

 

Yijui Chiu | Deep Learning | Best Innovation Award

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Prof. Dr. Yijui Chiu | Deep Learning | Best Innovation Award

Xiamen University of Technology, China

Prof. Dr. Yijui Chiu is a distinguished professor and doctoral supervisor specializing in mechanical engineering, with research spanning vibration, rotor dynamics, digital twin technology, deep learning, biomechanics, molecular dynamics, and applications in elderly assistive devices, semiconductor wafer equipment, and renewable energy vehicles. He has demonstrated exceptional strengths in integrating theoretical, computational, and experimental approaches, evidenced by his extensive contributions to rotor system dynamics, fault detection, and coupled vibration analysis. Dr. Chiu excels in interdisciplinary research, combining machine vision, AI, and digital twin frameworks to address complex engineering challenges, including thermo-elastic rotor coupling, flexible rotor systems, and smart exoskeleton control, reflecting his deep analytical and innovative skills. His leadership in guiding 28 funded projects, both national and industry-based, has fostered cross-strait innovation collaboration and produced a prolific output of 81 publications with 723 citations and an h-index of 16, highlighting his influence in mechanical engineering and related fields. Dr. Chiu’s research skills extend to experimental mechanics, finite element analysis, intelligent system design, machine learning applications, and multi-physics modeling, enabling practical solutions for energy systems, robotics, and industrial machinery. He has also cultivated a strong record of mentorship, supervising graduate students to national awards and doctoral programs at top institutions, reflecting his commitment to academic excellence and knowledge transfer. Areas for potential growth include expanding the application of his methodologies to broader industrial digital twin implementations, integrating renewable energy systems with AI-enhanced control, and exploring more advanced human-robot interaction systems for healthcare and manufacturing. Looking forward, Dr. Chiu has significant future potential to shape smart manufacturing, predictive maintenance, and sustainable mechanical systems by leveraging his interdisciplinary expertise and collaborative networks. His innovative contributions not only advance scientific understanding but also drive practical solutions with societal, industrial, and environmental impact, making him a highly deserving candidate for awards recognizing visionary achievements in engineering research and technology development.

Profiles: Scopus | ORCID

Featured Publications

Hong, W.-B., Chiu, Y.-J., & Yang, J.-Y. (2025). Analysis of double-column stacker structure. In Smart Innovation Systems and Technologies (Vol. 363, pp. 209–218). Springer.

Yao, Y.-H., & Chiu, Y.-J. (2025). Design of lifting equipment of wafer unmanned track carrier. In Smart Innovation Systems and Technologies (Vol. 362, pp. 195–204). Springer.

Gu, Y.-X., Chiu, Y.-J., & Li, M. (2025). Mechanism design of short-distance food transmission robot. In Smart Innovation Systems and Technologies (Vol. 362, pp. 171–182). Springer.

Chiu, Y.-J., Gu, Y.-X., Yang, C.-H., Jian, S.-R., & Chen, D. (2025). Numerical investigation of thermoelastically coupled vibrations of a rapidly rotating rigid-disk rotor system with a blade crack. Journal of Mechanical Science and Technology, 39, 1–14.

Chiu, Y.-J., Yao, Y.-H., Lin, C.-M., Dimitrov, D. Z., Juang, J.-Y., & Jian, S.-R. (2025, October). Unveiling the deformation behaviors of single-crystal LuVO4 using nanoindentation and finite element analysis. Results in Engineering, 18, 107668.

Prof. Dr. Yijui Chiu’s work integrates advanced rotor dynamics, digital twin technology, and AI-driven control systems to revolutionize mechanical engineering, enabling smarter, safer, and more efficient industrial machinery. His research advances scientific understanding while delivering practical solutions for energy, healthcare, and manufacturing industries, fostering global innovation and societal benefit.

Tian Wang | Chemical Engineering | Best Researcher Award

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Dr. Tian Wang | Chemical Engineering | Best Researcher Award

Kyung Hee University, China

Dr. Tian Wang is a distinguished researcher in the field of electrochemistry and energy storage materials, holding a Ph.D. in Electronics and Information Convergence Engineering from Kyung Hee University, Korea, with prior M.Sc. and B.Sc. degrees in Materials Physics, Chemistry, and Materials Chemistry from Shaanxi University of Science and Technology, China. He has focused his research on optimizing the Zn electrode/electrolyte interface in aqueous Zn metal batteries, revealing critical effects of interfacial mass and electron transfer on Zn electrochemistry, and successfully developing long-term stable Zn anodes and high-energy quasi-solid-state anode-free Zn metal batteries for potential wearable device applications. His earlier work includes research on MoO2, MoS2, and biomass carbon as anode materials for Li/Na-ion batteries, demonstrating his broad expertise in advanced energy materials. Dr. Wang possesses strong research skills in materials synthesis, electrochemical characterization, interface engineering, nanodevice fabrication, and performance evaluation, complemented by capabilities in experimental design and problem-solving for energy storage applications. He has published 32 documents with over 1,017 citations and holds an h-index of 16, reflecting the high impact of his work in the scientific community. His awards and honors, though not detailed here, recognize his innovation and contributions to energy materials research, highlighting both national and international recognition. Throughout his professional experience, Dr. Wang has demonstrated excellence in leading research projects, collaborating with interdisciplinary teams, mentoring students, and contributing to advancements in battery technologies. In conclusion, Dr. Wang’s combination of theoretical knowledge, experimental expertise, and practical innovation positions him as a leading researcher in the field of energy storage, with significant potential to drive breakthroughs in sustainable energy solutions, wearable electronics, and next-generation battery technologies, reinforcing his role as a visionary contributor to global scientific and technological advancement.

Profiles: Scopus | ORCID

Featured Publications

Wang, T., Tang, S., Xiao, Y., Xiang, W., & Yu, J. S. (2025). Strategies of interfacial chemistry manipulated zinc deposition towards high-energy and long-cycle-life aqueous anode-free zinc metal batteries. Energy & Environmental Science.

Wang, T., Xiao, Y., Xiang, W., Tang, S., & Yu, J. S. (2025, August). Stable zinc electrode/separator interface enabled by phthalocyanine-modified separator for advanced zinc metal batteries. Small.

Wang, T., Xiao, Y., Tang, S., Xiang, W., & Yu, J. S. (2025, June). Unlocking quasi-solid-state anode-free zinc metal batteries through robust bilayer interphase engineering. Advanced Energy Materials.

Wang, T., & Yu, J. S. (2024). Stabilized lithium metal nanocomposite anode for high-performance lithium–sulfur batteries. In Engineering Materials (pp. 1–??). Springer.

Wang, T., Xu, L., Xiang, W., Tang, S., Xiao, Y., & Yu, J. S. (2024, December). Interfacial lattice strain-induced vacancy evolution facilitating highly reversible dendrite-free zinc metal anodes. Advanced Energy Materials.

Dr. Tian Wang’s work on optimizing Zn metal batteries and developing high-energy, stable anode-free systems advances sustainable energy storage technologies, enabling safer and more efficient batteries for wearable devices and grid applications, thereby contributing to global energy innovation, environmental sustainability, and next-generation electronics.

Fanchao Zhou | Planetary Sciences | Best Researcher Award

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Dr. Fanchao Zhou | Planetary Sciences | Best Researcher Award

North China Geological Exploration Institute of Tianjin, China

Dr. Zhou Fan-chao is a dedicated assistant engineer and researcher at the Tianjin North China Geological Exploration Institute, specializing in geological disaster prevention, mineral exploration, and environmental remediation. He holds a strong academic background with advanced training in geology and hydrogeological engineering, focusing on applying modern modeling and analytical techniques to environmental and mining challenges. His professional experience includes progressive roles as a technician, technical backbone, and now project leader at the North China Geological Exploration Bureau, where he has demonstrated leadership in multidisciplinary projects integrating geological hazard assessment, mineral resource exploration, and soil remediation. Dr. Zhou has authored more than 12 research papers, including SCI-indexed publications in Minerals and Journal of Arid Land, as well as core Chinese journals such as Mineral Exploration and Industrial Water Treatment. He has also contributed to five national patents and participated in several major national and regional research initiatives, including the Ecological Restoration Demonstration Project for Abandoned Mines, the Third National Soil Census Project, and multiple geological hazard monitoring and environmental assessment projects. His research interests include hydrogeological modeling, CFD fluid simulation, geological hazard risk assessment, soil contamination treatment, and the application of machine learning in mineral exploration. Dr. Zhou’s research skills encompass advanced computational modeling, environmental data analysis, geological survey techniques, and practical field investigation methods. His excellence has been recognized through multiple awards, including the Excellent Graduate of Hebei Province (2023), the Tianjin Surveying and Mapping Science and Technology Progress Award (2024), and the Outstanding Individual in the Geological Exploration Skills Competition (2025). In conclusion, Dr. Zhou Fan-chao represents a new generation of innovative geoscientists whose contributions are advancing sustainable mining, geological safety, and environmental restoration, reflecting both technical excellence and a commitment to scientific and societal progress.

Profile: ORCID

Featured Publications

Fu, Z., Zheng, X., Yan, Y., Xu, X., Zhou, F., Li, X., Zhou, Q., & Mai, W. (2025, September 30). The evolution of machine learning in large-scale mineral prospectivity prediction: A decade of innovation (2016–2025). Minerals, 15(10), 1042.

Li, M., Wang, H., Du, W., Gu, H., Zhou, F., & Chi, B. (2024, August). Responses of runoff to changes in climate and human activities in the Liuhe River Basin, China. Journal of Arid Land.

Dr. Fanchao Zhou’s work advances scientific and industrial understanding of geological disaster prevention, sustainable mining, and environmental remediation. By integrating hydrogeological modeling, fluid dynamics, and machine learning, his research contributes to safer mining practices, improved resource management, and sustainable ecological restoration, benefiting both industry and society globally.

 

Maria Sundvall | Medicine and Dentistry | Best Researcher Award

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Dr. Maria Sundvall | Medicine and Dentistry | Best Researcher Award

University of Turku, Finland

Dr. Maria Sundvall is a distinguished physician-scientist and academic leader in Clinical Oncology and Molecular Cancer Biology, renowned for her translational research bridging laboratory discoveries with clinical applications. She earned her Medical Doctor degree in 2003, followed by a Ph.D. in Medical Biochemistry and Molecular Biology from the University of Turku, Finland, in 2007, where her thesis focused on “Signaling of ErbB4 Isoforms in Cancer.” She was later awarded the Title of Docent in 2015 and became a Specialist Physician in Clinical Oncology and Radiotherapy in 2018. Professionally, Dr. Sundvall serves as a Consultant in Clinical Oncology at Turku University Hospital and a Clinical Lecturer at the Institute of Biomedicine, University of Turku, where she also directs the Cancer Research Unit. Her earlier career includes postdoctoral research at Harvard Medical School under Professor P.P. Pandolfi, where she advanced her expertise in oncogenic signaling and targeted cancer therapies. Her research interests focus on receptor tyrosine kinase signaling, metabolic vulnerabilities in cancer, resistance mechanisms to EGFR-targeting therapies, and precision oncology for breast and prostate cancers. Dr. Sundvall possesses advanced research skills in molecular biology, cell signaling, cancer genomics, and translational medicine, with proficiency in various laboratory and clinical trial methodologies. She has authored over 34 publications in prestigious journals such as PNAS, Cancer Research, Clinical Cancer Research, and Oncogene, contributing key insights into cancer mechanisms and therapeutic resistance. Her numerous honors include the Turku University Foundation Ph.D. Thesis Award and research grants exceeding €1 million from the Research Council of Finland, the Finnish Medical Foundation, and the Sigrid Juselius Foundation. In conclusion, Dr. Sundvall exemplifies excellence in research, teaching, and clinical innovation, with her work significantly advancing the understanding of cancer biology and influencing future directions in precision oncology and patient-centered cancer care worldwide.

Profiles: Scopus | ORCID | LinkedIn

Featured Publications

Sriraman, S., Virtanen, V., Kukkula, A., Toriseva, M., Lumiainen, A., West, G., Poutanen, M., Taimen, P., & Sundvall, M. (2025). Androgen receptor‐mediated regulation of BRCA1 modulates the antioxidant defense in prostate cancer. The Journal of Pathology. Advance online publication.

Koskela, S., Pulkkinen, O., Mehmood, A., Kallionpää, R., Birkman, E.-M., Huuhtanen, J., Mustjoki, S., Coupland, S., Aittokallio, T., & Sundvall, M. (2025, July 8). Novel anti-PD1 predictive signature and functional dendritic-cell biomarkers in melanoma identified with systems immunology [Preprint]. Research Square.

Gnjatovic, J., Garces Ibanez, J., Rantala, J., Sundvall, M., Alanne, E., Vaittinen, S., Mattila, P., Jäättelä, M., & Hämälistö, S. (2025, April 29). Patient-derived lymphoma organoids and repurposed drugs: Novel solutions for improved B cell lymphoma treatment [Conference paper].

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