M. Mottakin | Research Excellence | Research Excellence Award

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Assist. Prof. Dr. M. Mottakin | Research Excellence | Research Excellence Award

Assist. Prof. Dr M. Mottakin | Gopalganj Science and Technology University, Bangladesh | Bangladesh

Dr. Mottakin is an accomplished Assistant Professor in the Department of Applied Chemistry and Chemical Engineering at Gopalganj Science and Technology University, Bangladesh, with a strong focus on advancing research and education in chemical sciences. His career is driven by a commitment to innovation and knowledge creation, aiming to develop practical solutions that address both national and global challenges. He holds a PhD in Solar Energy from the National University of Malaysia, building on a solid academic foundation with a Master’s and Bachelor’s degree in Applied Chemistry and Chemical Technology from the University of Rajshahi. Throughout his academic journey, he has consistently excelled, earning top positions in his department and demonstrating exceptional scholarly performance. Dr. Mottakin has contributed extensively to high-impact research in areas including solar energy, electrocatalysis, energy storage, and environmentally sustainable chemical processes. He has authored numerous publications in internationally recognized journals, covering topics such as perovskite solar cells, water splitting electrocatalysts, and eco-friendly energy materials. His research combines experimental and numerical approaches, emphasizing both innovation and practical applicability. In addition to his research, Dr. Mottakin actively participates in national and international conferences, sharing his expertise and fostering collaborations. He has received multiple awards and scholarships in recognition of his academic excellence and research contributions. He is fluent in both English and Bangla and demonstrates a strong ability to communicate complex scientific concepts effectively. Dr. Mottakin’s professional philosophy centers on integrating teaching, research, and community engagement, mentoring the next generation of scientists while contributing to sustainable technological advancements. With a proven track record in research, teaching, and international collaboration, Dr. Mottakin continues to drive innovation in applied chemistry and chemical engineering, aiming to create impactful solutions that benefit society and the scientific community.

Profile: Orcid | Scopus

Featured Publications

Patwary, M. A., Shafin, A. A., Alam, M. M., Singh Durjoy, R. K., Ludin, N. A., Su’ait, M. S., Akhtaruzzaman, M., & Mottakin, M. (2025). Optoelectronic properties and device simulation of ZnS polymorphs as buffer layers for CZTSSe solar cells. RSC Advances. https://doi.org/10.1039/D5RA07195J

Sultana, S., Sonia, Z. A., Mahmud, M., Mottakin, M., Haider, J. B., Ahmed, S., & Hossen, M. M. (2024). An investigation of cellulose, hemicellulose and lignin co-extraction from water hyacinth. Advanced Journal of Chemistry, Section A. https://doi.org/10.48309/ajca.2024.412642.1402

Mottakin, M., Su’Ait, M. S., Chelvanathan, P., Islam, M. A., Shahiduzzaman, M., Ibrahim, M. A., Muhammad, G., & Akhtaruzzaman, M. (2024). Correlation between defect properties and the performance of eco-friendly CsSnI₃-based perovskite solar cells. Semiconductor Science and Technology. https://doi.org/10.1088/1361-6641/ad208b

Mottakin, M., Su’ait, M. S., Selvanathan, V., Chelvanathan, P., Ibrahim, M. A., & Akhtaruzzaman, M. (2024). Effect of sulfidation on ethaline-assisted electrodeposited iron sulfide-based electrocatalyst for efficient saline water splitting. International Journal of Hydrogen Energy. https://doi.org/10.1016/j.ijhydene.2024.06.181

Mottakin, M., Selvanathan, V., Su’ait, M. S., Razali, S. A., Islam, M. A., Ibrahim, M. A., Muhammad, G., & Akhtaruzzaman, M. (2024). Enhancing pseudocapacitive energy storage system performance with electrodeposited CuSₓ and CoSₓ biphasic transitional metal sulfide (TMS) based nanostructured electrode on nickel foam. Journal of Physics and Chemistry of Solids, 186, 111795. https://doi.org/10.1016/j.jpcs.2023.111795

Mottakin, M., Su’ait, M. S., Chelvanathan, P., Ibrahim, M. A., Ludin, N. A., Abdullah, H., Almohamadi, H., & Akhtaruzzaman, M. (2024). Facile electrodeposited sandwich-like CuSₓ/MnSₓ electrocatalyst for efficient hydrogen evolution in seawater splitting. Journal of Solid State Chemistry, 339, 124913. https://doi.org/10.1016/j.jssc.2024.124913

Gabriele Sirtori | Research Excellence | Research Excellence Award

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Dr. Gabriele Sirtori | Research Excellence | Research Excellence Award

Dr. Gabriele Sirtori | ISAE Supaero | France

Gabriele Sirtori is an aerospace engineer and researcher specializing in sustainable aviation, hydrogen-powered aircraft design, and environmentally optimized flight operations. With advanced academic training culminating in a research doctorate in aerospace engineering from Politecnico di Milano, his work focuses on the integration of emerging propulsion technologies, environmental impact assessment, and the future evolution of air transport systems. His doctoral research explored hydrogen-powered aviation with an emphasis on aircraft design innovation and operational scenario development, earning top academic recognition. He also holds a master’s degree in aeronautical engineering with a thesis dedicated to evaluating the environmental benefits of hybrid propulsion for regional aircraft. International academic exposure includes studies at ENAC in Toulouse and an early exchange program in the United States, strengthening his multicultural competence and broadening his understanding of global aviation ecosystems. Gabriele currently serves as a postdoctoral researcher at ISAE Supaero in Toulouse, contributing to studies on air traffic management inefficiencies and assessing mitigation strategies to reduce climate impacts through optimized flight operations. His experience also includes leadership and community engagement through active roles in Rotaract, where he served as vice president and contributed to social and service-oriented initiatives. He has authored numerous scientific publications spanning hydrogen propulsion, hybrid-electric aircraft concepts, environmental benefits of advanced technologies, and infrastructure requirements for future sustainable fleets. His work appears in peer-reviewed journals, major international conferences, and multidisciplinary aerospace research platforms. Gabriele’s technical competencies include advanced programming in MATLAB and Python, strong proficiency in word processing and scientific documentation tools, and solid analytical abilities in data handling and modeling. He is fluent in English and French, with additional proficiency in Spanish, enabling effective collaboration in international research environments. Driven by a commitment to sustainable aviation, he aims to contribute to the transition toward cleaner, more efficient air transport through rigorous research, innovative design methodologies, and future-oriented technological analysis.

Profile: Google Scholar

Featured Publications

Aigner, B., Garcia Garriga, A., Sirtori, G., Riboldi, C. E. D., Trainelli, L., Mariani, C., … (2022). Overview and preliminary results of the scalability investigation of hybrid electric concepts for next-generation aircraft (SIENA) project. In 12th EASN Conference.

Trainelli, L., Riboldi, C. E. D., & Sirtori, G. (2024). Methodologies for the preliminary sizing of hydrogen-powered aircraft and supporting airport infrastructures. ICAS Proceedings, 1–12.

Aigner, B., Wehrle, E., Struiwig, W., Sirtori, G., Riboldi, C., & Trainelli, L. (2023). Consideration of technology scalability in the design of electric propulsion system architectures. In Aerospace Europe Conference 2023—Joint 10th EUCASS–9th CEAS Conference (pp. 1–11).

Sirtori, G., Aigner, B., Wehrle, E., Riboldi, C. E. D., & Trainelli, L. (2025). Innovative aircraft propulsive configurations: Technology evaluation and operations in the SIENA project. Aerospace, 12(3), 240.

Sirtori, G., Trainelli, L., & Lahmam, Z. (2024). Hydrogen tankering: Tools for economic and environmental impact scenario studies. ICAS Proceedings, 1–13.

Sirtori, G., & Trainelli, L. (2025). Transient in operations: From jet-fuel to hydrogen-powered aircraft. In Towards Sustainable Aviation Summit (TSAS 2025) (pp. 1–8).

Sirtori, G., Trainelli, L., & Riboldi, C. E. D. (2024). Prediction of environmental benefits introducing hybrid-electric propulsion on regional aircraft. Journal of Physics: Conference Series, 2716(1), 012015.

Xingwang Bian | Scientific Breakthroughs | Research Excellence Award

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Mr. Xingwang Bian | Scientific Breakthroughs | Research Excellence Award

Mr. Xingwang Bian | Beijing Vacuum Electronics Research Institute | China

Xingwang Bian is a senior-level researcher at the Beijing Vacuum Electronics Research Institute, working in the domain of vacuum electronics and high-frequency device engineering. He specializes in the research, design, and experimental development of traveling-wave tubes (TWTs) operating at millimeter-wave and terahertz (THz) frequencies — especially in the G-band. His work leverages advanced slow-wave structure designs, electron-beam systems, and optimized focusing/magnetics, aiming to push the power, bandwidth, and efficiency envelope for THz vacuum-electronic amplifiers.  Among his important contributions: he co-authored demonstration of a broadband continuous-wave G-band TWT providing multi-GHz bandwidth and tens of watts of output power — a promising step toward practical THz wireless communications and radar systems.  Bian has also been centrally involved in the development of pulsed G-band TWTs for radar applications, combining innovations in slow-wave structure (modified folded waveguide), high-current electron beams, and phase-velocity tapering to reach high output power levels (on the order of 100 W+ in pulsed operation) in a compact, vacuum-electronic device.  Through these efforts, Bian has helped advance what is arguably one of the leading THz-band vacuum-electronic technology pipelines from BVERI, contributing to both academic publications and applied-device development.  In sum: Bian is a specialized vacuum-electronics engineer/scientist whose expertise lies at the intersection of electromagnetic design, electron-beam physics, and high-frequency amplifier fabrication — with a clear emphasis on making high-power, wide-band, THz-band TWTs viable for radar, sensing, and communication applications.

Publication Profile

Scopus | ORCID

Featured Publications 

Bian, X., Pan, P., Du, X., Feng, Y., Li, Y., Song, B., & Feng, J. (2025). Design and experiment of modified folded waveguide slow wave structure for 60-W G-band traveling wave tube. IEEE Microwave and Wireless Technology Letters.

Bian, X., Pan, P., Xian, S., Yang, D., Zhang, L., Cai, J., & Feng, J. (2025). A G-band pulsed wave traveling wave tube for THz radar. Preprints.

Zhu, M., Cai, Y., Zhang, L., Zhang, J., Hua, B., Ma, K., Ding, J., Bian, X., et al. (2025). Surpassing kilometer-scale terahertz wireless communication beyond 300 GHz enabled by hybrid photonic–electronic synergy. Research Square.

Bian, X., Pan, P., Du, X., Song, B., Zhang, L., Cai, J., & Feng, J. (2024). Demonstration of a high-efficiency and wide-band 30-W G-band continuous wave traveling wave tube. IEEE Electron Device Letters.

Feng, Y., Bian, X., Song, B., Li, Y., Pan, P., & Feng, J. (2022). A G-band broadband continuous wave traveling wave tube for wireless communications. Micromachines

Eric Howard | Research Excellence | Research Excellence Award

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Dr. Eric Howard | Research Excellence | Research Excellence Award

Dr. Eric Howard | Macquarie University | Australia

Dr. Eric Howard is an accomplished academic leader, researcher, and innovator with nearly three decades of combined experience across computational physics, astronomy, quantum computing, data science, and cybersecurity. He has made influential contributions through teaching, curriculum design, research supervision, and interdisciplinary program development across multiple higher-education sectors. His academic leadership includes directing programs and advancing pedagogical frameworks for undergraduate, postgraduate, and MBA-level studies. Dr. Howard’s research portfolio reflects significant advancements in emerging technologies. His completed and ongoing projects span quantum machine learning for fraud detection, hybrid quantum-classical neural networks for intrusion detection, quantum Bayesian inference models, variational simulations of molecular ground states, holographic beam shaping with AI optimization, and quantum graph neural networks for complex systems. He has published more than sixty peer-reviewed papers in respected SCI and Scopus-indexed journals, covering quantum information science, artificial intelligence, cosmology, cryptography, and computational physics. He also contributes to global scholarship as an editor for international journals in physics and theoretical mathematics, while serving as a peer reviewer for prominent scientific publishers and organizations. In addition, Dr. Howard maintains strong collaborative ties with national research institutes, quantum technology networks, and centers of excellence, advancing high-impact interdisciplinary projects. In industry, Dr. Howard has demonstrated entrepreneurial leadership as CEO of companies specializing in AI-powered cybersecurity and data-driven digital automation. His consultancy experience includes developing secure e-learning ecosystems, threat intelligence platforms, cloud security frameworks, and advanced analytics solutions for enterprise and academic clients. Dr. Howard’s key contributions include pioneering quantum-enhanced cybersecurity models, designing AI-driven threat intelligence frameworks, and leading competitive grant-funded projects in quantum sensing, VQE simulations, and digital security. His sustained commitment to innovation, mentorship, and research excellence underscores his significant impact on scientific, technological, and educational advancement.

Profile: Orcid | Google Scholar

Featured Publications

Howard, E. (2025). Data imputation with deep learning: AI techniques for handling missing or noisy data. Eksplorium. https://doi.org/10.52783/eksplorium.65

Howard, E. (2025). End-to-end visibility in global supply chains: Blockchain and AI integration [Dataset]. figshare. https://doi.org/10.6084/m9.figshare.28528676

Howard, E. (2025). Leveraging computer vision and data science for enhanced operational efficiency in smart enterprises. Tangence. https://doi.org/10.52783/tangence.6

Ramshankar, P., Howard, E., Srinivasan, V., Prabu, D., Dhanraj, J. A., Kumar, M. J., & Rajendiran, M. (2025). Nanoscale characterization and imaging techniques for material analysis. AIP Conference Proceedings. https://doi.org/10.1063/5.0277578

Howard, E. (2025). Optimization of heat transfer in mechanical systems using AI in neural networks. Tangence. https://doi.org/10.52783/tangence.3

Howard, E. (2025). Real-time image-based data processing and its applications in managerial decision-making and risk analysis. Eksplorium. https://doi.org/10.52783/eksplorium.181

Ouafaa Morjani | Research Excellence | Research Excellence Award

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Dr. Ouafaa Morjani | Research Excellence | Research Excellence Award

Dr. Ouafaa Morjani | Hassan II University of Casablanca | Morocco

Dr. Ouafaa Morjani is a dedicated researcher in Molecular Biology, Genetics, and Bioinformatics, holding a Ph.D. from Hassan II University of Casablanca, Morocco. Affiliated with the Faculty of Sciences and Technics of Mohammedia, her work is rooted in the Laboratory of Virology, Oncology, Biosciences, Environment, and New Energies. Her research primarily focuses on thoracic oncology, particularly Non-Small Cell Lung Cancer (NSCLC), where she integrates molecular profiling, genetic variants, biomarkers, and advanced diagnostic technologies to improve early detection and precision medicine. Dr. Morjani has authored and co-authored multiple peer-reviewed publications addressing clinical, anatomical, and molecular dimensions of lung cancer. Her work includes exploring GWAS-derived genetic variants in NSCLC, investigating interleukin-based blood biomarkers, analyzing metastasis patterns, and assessing the impact of smoking on lung cancer mechanisms. She has also presented extensively at prestigious international conferences in Morocco, France, and Saudi Arabia, contributing to discussions on NGS applications, ROS1 rearrangement detection, and molecular pathology. Her scientific expertise is strengthened by advanced training in Next-Generation Sequencing (NGS) at renowned institutions in France, along with hands-on experience in sequencing platforms such as Ion Torrent and Illumina. She is proficient in NGS library preparation, nucleic acid extraction, and bioinformatics analysis involving FastQ, BAM, and SAM files. Her competencies extend to R programming, statistical analysis, and functional genomics. She has participated in major workshops, including the African BioGenome Project Fellowship, enhancing her mastery of genome assembly, annotation, and biodiversity genomics. Dr. Morjani has additional experience in molecular diagnostics, including RT-qPCR detection of foodborne viruses and breast cancer biomarker analysis through IHC and FISH. She is also actively involved in teaching, mentoring, quality assurance, COVID-19 testing, and regulatory compliance. A member of multiple national and international scientific societies, she is recognized for her adaptability, teamwork, communication skills, and strong commitment to advancing cancer genomics and molecular oncology.

Profile: Google Scholar | LinkedIn

Featured Publications

Morjani, O., Benkirane, N., Errihani, H., Elfahime, E. M., & Lakhiari, H. (2024). Molecular analysis of genetic mutations in non-small cell lung cancer in Morocco. Pan African Medical Journal, 47(1).

Morjani, O., Benlhachemi, S., Errihani, H., El Fahime, E., & Lakhiari, H. (n.d.). Epidemiological, clinical, anatomopathological and molecular profiles of lung cancer in patients at the oncology center of the Cheikh Zaid International University Hospital in Rabat. [Journal information incomplete].

Morjani, O., Yang, Y.-W., Lahlil, R., Lakhiari, H., & Alaoui, H. (2025). Hematological biomarkers for early detection of lung cancer: Evaluating the diagnostic potential of circulating interleukin levels. International Journal of Molecular Sciences, 26(22), 11014.

Morjani, O., Mounaji, N., Ghaouti, M., Errihani, H., El Fahime, E., & Lakhiari, H. (2024). Next generation sequencing and genomic mapping: Towards precision molecular diagnosis of lung cancer in Morocco. Pan African Medical Journal, 49, 75.

Morjani, O., Karimoune, M. A. S., Errihani, H., El Fahime, E. M., & Lakhiari, H. (2023). Comparative study of molecular techniques for detecting ROS1 rearrangement in non-small cell lung cancer: Implications for diagnostic precision. Journal of Molecular Diagnostics, 26(6), S5–S6.

Shohei Katsuya | Research Excellence | Excellence in Research

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Mr. Shohei Katsuya | Research Excellence | Excellence in Research

Mr. Shohei Katsuya | Advanced Technology Laboratories, OSAKA GAS Co., Ltd. | Japan

Shohei Katsuya is a dedicated Researcher at the Advanced Technology Laboratories of OSAKA GAS Co., Ltd., where he specializes in cutting-edge metabolic and nutritional research. He holds a Master of Agriculture degree from Kyoto University, completed in March 2021, and has since been actively involved in advanced investigations centered on the physiological functions and health impacts of beta-hydroxybutyrate (BHB). Since joining Osaka Gas in April 2021, Katsuya has contributed significantly to a series of clinical and biochemical studies exploring the therapeutic potential of BHB, a key ketone body known for its roles in metabolism, energy utilization, and physiological regulation. His research focuses on understanding the metabolic pathways and physiological effects of BHB in humans, with applications ranging from obesity reduction to improved sleep quality and metabolic health. He has authored five peer-reviewed publications between 2023 and 2025 in reputable journals including Obesities, Journal of Nutritional Science and Vitaminology, Bioscience, Biotechnology, and Biochemistry, and Nutrition. These works include randomized, double-blind, placebo-controlled clinical trials investigating the effects of D-BHB on body fat reduction, sleep quality enhancement, and its safety profile in humans and animal models. Additionally, he contributed to a collaborative study demonstrating BHB’s protective effects on diabetic renal and muscular pathologies.Katsuya’s publications have collectively received 18 citations and earned an h-index of 2 according to Scopus, reflecting the emerging impact of his work within the nutritional and biochemical sciences. His ongoing projects continue to deepen scientific understanding of BHB as a functional metabolite with potential applications in health optimization, disease prevention, and metabolic regulation. Through his work, Shohei Katsuya is advancing evidence-based insights that contribute to both academic knowledge and practical applications in human health research.

Profile: Orcid

Featured Publications

Katsuya, S., Kawata, Y., Kawamura, J., Goto, T., Takara, T., & Tsubota, J. (2025). Effect of D-β-hydroxybutyric acid on body fat in Japanese adults: A randomized, double-blind, placebo-controlled study. Obesities, 5(4), 82. https://doi.org/10.3390/obesities5040082

Aisyah, R., Katsuya, S., Miyata, K., Chen, Z., Horii, M., Kudo, A., Kumrungsee, T., Tsubota, J., & Yanaka, N. (2025). β-Hydroxybutyrate attenuates diabetic renal and muscular pathologies in a streptozotocin-induced diabetic model. Nutrition, Article 112792. https://doi.org/10.1016/j.nut.2025.112792

Katsuya, S., Kawata, Y., Kawamura, Y., Kawamura, J., & Tsubota, J. (2025). Effect of d-β-hydroxybutyrate on sleep quality in healthy participants: A randomized, double-blind, placebo-controlled study. Bioscience, Biotechnology, and Biochemistry, 89(5), 769–775. https://doi.org/10.1093/bbb/zbaf017

Katsuya, S., Kawata, Y., Sugimoto, M., Nishimura, T., & Tsubota, J. (2024). Determination of the safety of Halomonas sp. KM-1-derived d-β-hydroxybutyric acid and its fermentation-derived impurities in mice and Japanese adults. Bioscience, Biotechnology, and Biochemistry, 88(9), 1073–1080. https://doi.org/10.1093/bbb/zbae088

Ip, C.-H., Higuchi, H., Wu, C.-Y., Okuda, T., Katsuya, S., Ogawa, J., & Ando, A. (2024). Production of docosahexaenoic acid by a novel isolated Aurantiochytrium sp. 6-2 using fermented defatted soybean as a nitrogen source for sustainable fish feed development. Bioscience, Biotechnology, and Biochemistry, 88(5), 872–881. https://doi.org/10.1093/bbb/zbae035

Katsuya, S., Kawata, Y., Goto, T., & Tsubota, J. (2023). Daily intake of D-β-hydroxybutyric acid (D-BHB) reduces body fat in Japanese adult participants: A randomized, double-blind, placebo-controlled study. Journal of Nutritional Science and Vitaminology, 69(2), 121–128. https://doi.org/10.3177/jnsv.69.121

Lian-Wang Guo | Innovation Impact | Best Researcher Award

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Dr. Lian-Wang Guo | Innovation Impact | Best Researcher Award

Dr. Lian-Wang Guo | University of Virginia | United States

The Guo Lab at the University of Virginia investigates the fundamental and translational biology of vascular wall remodeling and retinal degeneration, with a central focus on how epigenetic mechanisms drive pathological cell-state transitions. Specifically, the group studies the roles of histone-code “readers” and “writers” in orchestrating chromatin dynamics that contribute to disease progression. By dissecting how these epigenetic regulators influence cellular phenotypes, the lab seeks to identify novel therapeutic targets capable of preventing or reversing harmful remodeling processes. A major emphasis of the lab’s work is bridging mechanistic discoveries with translational innovation. Their research pipeline spans from uncovering basic molecular dysfunctions to engineering practical therapeutic interventions. For instance, the Guo Lab investigates the epigenetic underpinnings of vascular wall thickening and stenosis following surgical procedures such as vein grafting and angioplasty. These studies illuminate how chromatin dysregulation contributes to post-surgical complications and guides the development of targeted therapeutic strategies. In parallel, the lab collaborates with surgeons and bioengineers to design precision delivery systems for chromatin-modulating “epi-drugs.” One pioneering approach involves the creation of bio-adhesive nanoparticles engineered to be “painted” directly onto vein grafts, aiming to preserve long-term graft patency. Another strategy focuses on combating restenosis after angioplasty by developing injectable biomembrane-camouflaged carriers capable of homing in on vascular lesions. These cutting-edge delivery systems enhance therapeutic specificity and minimize off-target effects, accelerating the translation of epigenetic therapies into clinically viable solutions. The lab’s innovative research direction has resulted in multiple approved and pending patents, demonstrating its impact at both scientific and translational fronts. Ultimately, the Guo Lab strives to solve critical medical challenges by targeting dysregulated epigenetic mechanisms and ensuring a seamless continuum from mechanistic discovery to therapeutic application.

Profile: Google Scholar

Featured Publications

Klionsky, D. J., Abdel-Aziz, A. K., Abdelfatah, S., Abdellatif, M., Abdoli, A., Abel, S., … (2021). Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition). Autophagy, 17(1), 1–382.

Kumar, A., D’Souza, S. S., Moskvin, O. V., Toh, H., Wang, B., Zhang, J., Swanson, S., … (2017). Specification and diversification of pericytes and smooth muscle cells from mesenchymoangioblasts. Cell Reports, 19(9), 1902–1916.

Yu, Q., Wang, B., Chen, Z., Urabe, G., Glover, M. S., Shi, X., Guo, L.-W., Kent, K. C., & Li, L. (2017). Electron-transfer/higher-energy collision dissociation (EThcD)-enabled intact glycopeptide/glycoproteome characterization. Journal of the American Society for Mass Spectrometry, 28(9), 1751–1764.

Borck, P. C., Guo, L.-W., & Plutzky, J. (2020). BET epigenetic reader proteins in cardiovascular transcriptional programs. Circulation Research, 126(9), 1190–1208.

Goel, S. A., Guo, L.-W., Liu, B., & Kent, K. C. (2012). Mechanisms of post-intervention arterial remodelling. Cardiovascular Research, 96(3), 363–371.

Zent, J., & Guo, L.-W. (2018). Signaling mechanisms of myofibroblastic activation: Outside-in and inside-out. Cellular Physiology and Biochemistry, 49(3), 848–868.

DiRenzo, D. M., Chaudhary, M. A., Shi, X., Franco, S. R., Zent, J., Wang, K., Guo, L.-W., … (2016). A crosstalk between TGF-β/Smad3 and Wnt/β-catenin pathways promotes vascular smooth muscle cell proliferation. Cellular Signalling, 28(5), 498–505.

Tang Qingjun | Scientific Breakthroughs | Best Researcher Award

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Assoc. Prof. Dr. Tang Qingjun | Scientific Breakthroughs | Best Researcher Award

Assoc. Prof. Dr. Tang Qingjun | Technical Institute of Physics and Chemistry, Chinese Academy of Sciences | China

This research portfolio centers on advancing space thermal control and cryogenic refrigeration technologies, with significant emphasis on precision temperature management, lightweight system design, and enhanced performance for scientific payloads in orbit. The work covers key technological domains such as flexible heat transfer, thermal matching for low-temperature devices, insulation support structures, contamination control, and integrated thermal–mechanical engineering for spacecraft. A major focus of the research involves developing high-precision low-temperature control systems for space missions, enabling stable operation of sensitive optical payloads in complex orbital environments. Through comprehensive mastery of mechanics, thermodynamics, electromagnetics, and automated temperature regulation, several critical engineering challenges were overcome. These include improving temperature stability, reducing micro-vibration output, and optimizing thermal interfaces for high-performance detection instruments. The resulting technologies enhanced the scientific capabilities of spaceborne payloads and earned recognition from international experts in spacecraft engineering. Another central contribution lies in the development of lightweight pulse tube cryocoolers for space applications. Under major scientific and engineering programs, extensive basic and applied studies were conducted to design and optimize compact refrigeration systems. A series of prototypes was successfully built, achieving significant reductions in mass while preserving cooling capacity, operational lifespan, and structural robustness. These innovations contribute to next-generation spacecraft refrigeration solutions, supporting advanced astronomical observations and deep-space scientific missions. The research integrates theoretical modeling, high-frequency performance analysis, experimental verification, and system-level optimization. Publications include studies on coaxial and single-stage pulse tube cryocoolers, micro-scale units capable of reaching extremely low temperatures, inertance tube phase-shifting characteristics, multi-cold-finger systems, and thermo-mechanical behavior of cryogenic components. The work has appeared in leading scientific journals and international conferences covering thermal engineering, cryogenics, refrigeration science, and astronomical instrumentation. Collectively, these contributions advance cutting-edge cryogenic and thermal control technologies essential to modern space science, supporting higher-accuracy payloads, more efficient cooling solutions, and improved performance of future spacecraft systems.

Profile: Scopus

Featured Publications

Liu, C., Tian, B., Ma, J., Niu, Y., Tang, Q., Ma, Y., & Cai, J. (2025). Experimental investigation of a single-stage micro pulse tube cryocooler operating at 59 Hz with liquid nitrogen precooling: Achieving 14.8 K under 5 W input power. International Journal of Refrigeration.

Tian, B., Liu, C., Ma, J., Niu, Y., Tang, Q., Ma, Y., & Cai, J. (2025). Investigation on a micro pulse tube cryocooler operating at 152 Hz. Cryogenics.

Sayed Abdul Majid Gilani | Emerging Technologies | Best Researcher Award

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Dr. Sayed Abdul Majid Gilani | Emerging Technologies | Best Researcher Award

Dr. Sayed Abdul Majid Gilani | Birmingham City University | United Kingdom

Dr. Sayed Abdul Majid Gilani is an accomplished researcher in electrical and electronic engineering, specializing in embedded systems, automation, and control engineering. His multidisciplinary research integrates hardware design, sensor networks, and artificial intelligence to develop innovative and energy-efficient solutions for real-world challenges. With over a decade of experience in academia and applied research, Dr. Gilani has contributed significantly to the advancement of embedded control technologies, renewable energy optimization, and industrial automation systems. His work emphasizes intelligent system design, IoT-based automation, and the integration of machine learning algorithms for enhanced performance and sustainability. Dr. Gilani has published extensively in high-impact journals and presented at leading international conferences, reflecting his global engagement and scientific rigor. He has also supervised numerous research projects and guided students in developing practical applications of emerging technologies. His research outputs demonstrate a strong commitment to technological innovation that bridges the gap between theory and application. Recognized for his academic excellence and collaborative research initiatives, Dr. Gilani continues to advance cutting-edge developments that contribute to the evolution of smart, adaptive, and efficient engineering systems—making him a deserving candidate for the Best Researcher Award.

Profiles: Google Scholar | Scopus | LinkedIn | Research Gate

Featured Publications 

Gilani, S. A. M., & Faccia, A. (2021). Broadband connectivity, government policies, and open innovation: The crucial IT infrastructure contribution in Scotland. Journal of Open Innovation: Technology, Market, and Complexity, 8(1), 1. https://doi.org/10.3390/joitmc8010001

Gilani, S. A. M., Copiaco, A., Gernal, L., Yasin, N., Nair, G., & Anwar, I. (2023). Savior or distraction for survival: Examining the applicability of machine learning for rural family farms in the United Arab Emirates. Sustainability, 15(4), 3720. https://doi.org/10.3390/su15043720

Gilani, S., Gernal, L., Tantry, A., Yasin, N., & Sergio, R. (2022). Leadership styles adopted by Scottish micro-businesses during the COVID-19 pandemic. In Proceedings of the International Conference on Business and Technology (pp. 144–156). Springer.

Al Jaghoub, J., Suleiman, A., Takshe, A. A., Moussa, S., Gilani, S. A. M., Sheikh, S., & others. (2024). The role of innovation in waste management for enterprises: A critical review of the worldwide literature. In Technology-Driven Business Innovation (pp. 453–464). Springer.

Gernal, L., Tantry, A., Gilani, S. A. M., & Peel, R. (2024). The impact of online learning and soft skills on college student satisfaction and course feedback. In Technology-Driven Business Innovation: Unleashing the Digital Advantage (pp. 42–54). Springer.

Gilani, S. A. M., Tantry, A., Askri, S., Gernal, L., & Sergio, R. (2023). Adoption of machine learning by rural farms: A systematic review. In Proceedings of the International Conference on Computing and Informatics (pp. 324–335). Springer.

Yong Liu | Research Excellence | Innovative Research Award

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Assoc. Prof. Dr. Yong Liu | Research Excellence | Innovative Research Award

Assoc. Prof. Dr Yong Liu | Tianjin University | China

Dr. Yong Liu is an Associate Professor at the School of Electrical and Information Engineering, Tianjin University, China. With an extensive record of scholarly contributions, he has authored and co-authored over 100 technical papers, three books or book chapters, and more than 50 patents in electrical engineering. His research primarily focuses on ageing evaluation, defect diagnosis, and performance monitoring of outdoor insulators and power cables under complex atmospheric and electrical conditions. Dr. Liu’s pioneering work integrates advanced sensing technologies, signal processing, and artificial intelligence to improve the reliability and safety of high-voltage power transmission systems. His studies on leakage current characteristics, surface discharges, and magnetic field-based condition evaluation have significantly advanced diagnostic techniques for high-voltage alternating current (HVAC) and direct current (HVDC) equipment. Notable recent contributions include research on multi-scale leakage current feature extraction using graph neural networks, magnetic field feature analysis for power cable evaluation, and dynamic discharge behavior of ice-covered insulators under DC voltages. He has made substantial progress in understanding the electro-thermal and mechanical ageing mechanisms of polymeric insulators and cables, developing novel monitoring strategies and predictive models for insulation failure. His publications in leading journals such as IEEE Transactions on Dielectrics and Electrical Insulation, IEEE Access, Energies, and Polymers demonstrate his sustained excellence and influence in high-voltage engineering and applied materials science. As a member of the Chinese Society for Electrical Engineering (CSEE) and the Institute of Electrical and Electronics Engineers (IEEE), Dr. Liu actively contributes to international collaboration and academic exchange. His innovative research continues to support the development of smart grid technologies, advanced cable diagnostics, and climate-resilient power systems, positioning him as a leading scholar in electrical insulation and power engineering research.

Profile: Orcid

Featured Publications 

Liu, Y., Lin, M., Wei, H., Duan, X., Li, Z., & Fu, Q. (2025). Cable outer sheath defect identification using multi-scale leakage current features and graph neural networks. Energies, 18(21), 5687. https://doi.org/10.3390/en18215687

Liu, Y., Wang, M., Huang, Y., Han, T., & Du, B. (2024). Feature extraction of magnetic field for condition evaluation of HVAC power cable. IEEE Transactions on Dielectrics and Electrical Insulation. https://doi.org/10.1109/TDEI.2023.3342774

Liu, Y., Li, C., Yin, F., Du, B. X., & Farzaneh, M. (2024). Nonlinear traits of leakage current and dynamic actions of surface discharges on ice-covered insulators under DC voltages. IEEE Transactions on Dielectrics and Electrical Insulation. https://doi.org/10.1109/TDEI.2024.3373549

Liu, Y., Guo, Y., Wang, B., Li, Q., Gao, Q., & Wan, Y. (2024). Research on influencing factors and wind deflection warning of transmission lines based on meteorological prediction. Energies, 17(11), 2612. https://doi.org/10.3390/en17112612

Liu, Y., Xin, Y., Huang, Y., Du, B., Huang, X., & Su, J. (2024). Optimal design and development of magnetic field detection sensor for AC power cable. Sensors, 24(8), 2528. https://doi.org/10.3390/s24082528

Liu, Y., Xin, Y., Du, B., Huang, X., & Su, J. (2024, March 22). Optimal design and development of magnetic field detection sensor for AC power cable [Preprint]. Preprints. https://doi.org/10.20944/preprints202403.1352.v1