Mohammed Mamun Rashid | Social Science | Editorial Board Member

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Dr. Mohammed Mamun Rashid | Social Science | Editorial Board Member

University of Liberal Arts Bangladesh (ULAB) | Bangladesh

Dr. Mohammed Mamun  Rashid, a Bangladeshi national born on 1 January 1977 in Mirsharai, Chattogram, is a distinguished academic and development professional with extensive experience in social work, governance, and community development. He earned his PhD in Social Work from Universiti Sains Malaysia in 2022, focusing on capital penetration and coping strategies of traditional Hindu fisherfolk in Bangladesh, and holds a Master of Arts in Inter-Asia NGO Studies from SungKongHoe University, South Korea, and an MBA and BBA from the University of Chittagong. Currently, he serves as a Part-Time Faculty at the Department of Media Studies and Journalism, University of Liberal Arts Bangladesh (ULAB), teaching courses such as Strategic Communication and Strategic Public Relations, while his teaching interests encompass development studies, poverty, social policy, governance, project management, migration, social work, and advanced research methodologies. Dr. Rashid’s scholarly contributions include numerous Scopus- and Web of Science-indexed publications addressing poverty, social transformation, small-scale fisheries, refugee well-being, migration, and climate change adaptation, alongside multiple authored and co-authored books on coastal communities, migration, and livelihoods in Bangladesh. His professional experience spans over 15 years in development practice, including leadership roles at Transparency International Bangladesh and the Community Development Centre (CODEC), where he coordinated programs on governance, civic engagement, advocacy, social mobilization, and climate adaptation, often in partnership with NGOs, government institutions, and international donors such as USAID, DANIDA, and the European Commission. He has actively contributed to national and international conferences, seminars, and symposia, sharing insights on community resilience, labor policy, disaster risk reduction, and social development. Dr. Rashid has also served on editorial boards, reviewed numerous manuscripts for international journals, and participated in research projects as principal or co-principal investigator. His research interests focus on capitals and social transformation, governance, human development, migration, marginalization, and the well-being of traditional small-scale fisherfolk and refugee populations.

Profiles: Orcid  | Google Scholar

Featured Publications

Rashid, M. M., Azid, M. T., Shaulin, N., & Joya, S. A. (2025). Performances of standing committees of Union Parishad (UP) in Bangladesh: A descriptive analysis. Public Administration Issues, 6, 26–42.

Rashid, M. M., Singh, P. S. J., & Azman, A. (2025). Poverty paradigm among traditional Hindu fisherfolk and flows of multiple capitals as coping strategies for sustainability: An empirical study. Journal of Sustainability Science and Management, 20(8), 1705–1729.

Rashid, M. M., Sofuggzaman, M., & Singh, P. S. J. (2025). Educational facilitators and key barriers for Rohingya children with disabilities in refugee camps. International Journal of Population Studies, 11(6), 1–14.

Rashid, M. M., Azman, A., Singh, P. S. J., & Ali, M. I. (2020). Issues and problems of small-scale fishing (SSF) communities in South Asia: A comprehensive overview. Indian Journal of Ecology, 47(3), 775–781.

Ali, I., Azman, A., Singh, P. S. J., Drani, S., & Rashid, M. M. (2020). Islamic faith-based organizations and poverty reduction in Bangladesh: A social work perception. Social Work & Society, 18(2), 1–15.

 

Hengrui Ma | Wind Power Prediction | Research Excellence Award

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Prof. Hengrui Ma | Wind Power Prediction | Research Excellence Award 

Wuhan University of Technology | China 

Professor Hengrui Ma, an Associate Professor at Wuhan University of Technology, is an accomplished researcher in the fields of new power systems and integrated energy systems, demonstrating strong academic excellence and impactful scientific contributions. He earned his Ph.D. from Wuhan University and his Bachelor’s and Master’s degrees from North China Electric Power University, and has been recognized with the prestigious provincial “Kunlun Talents” award for his outstanding academic achievements. Professor Ma has led and participated in several national and provincial-level research initiatives, including sub-task leadership roles in the National Key Research and Development Program of China on Smart Grid (2025–2029), major projects funded by the China Southern Power Grid, and China Electric Power Research Institute, showcasing his influential role in advancing smart grid technologies, urban distribution network planning, and power system resilience against extreme weather. His research productivity includes over 80 peer-reviewed publications, with 70+ indexed by SCI/EI, and a total citation count of 2,961 across Google Scholar, CNKI, and IEEE databases, reflecting the widespread recognition of his work. He has contributed to industrial innovation through 110 patent applications and authored the book Motor and Electrical Control Technology (ISBN: 978-7-114-19121-3) published in 2024. His academic excellence has been further honored through prestigious recognitions such as the Qinghai Provincial Natural Science Award, a Gold Medal at the Geneva International Exhibition of Inventions, and the Wiley China Excellent Author Program award supported by Wiley and the Institution of Engineering and Technology (IET). His papers include ESI Highly Cited and Hot Papers, one of China’s Top 100 Most Influential Academic Papers, and an F5000 award-winning paper, all demonstrating exceptional research impact. Beyond his scholarly work, Professor Ma contributes actively to professional communities, serving as Youth Editorial Committee Member of Smart Power, Committee Member of the Boao New Power System Association, and Vice Secretary-General of the IEEE PES China Satellite Technical Committee – Transmission & Distribution Subcommittee (2024–2026). Through his multidisciplinary collaborations and sustained leadership in innovative scientific exploration, he has significantly advanced integrated energy technologies and the transformation of smart grids toward green, resilient, and intelligent infrastructures. By combining academic rigor with industry-oriented outcomes, Professor Ma continues to drive scientific innovation and make notable contributions to national energy development goals and global technological progress.

Profiles: Google Scholar

Featured Publications 

Zou, H., Liu, Q., Yuan, A., Chen, S., Ma, H., & Wang, B. (2025). A method for assessing the operational saturation of electric power operators based on the fusion of multi‐source risk factors.

Xue, Z., Wang, B., Ma, H., Zhang, J., Zhang, H., & Zhou, J. (2025). Research on transformer fault diagnosis and maintenance strategy generation based on TransQwen model. Processes, 13(7), 1977.

Yan, Y., Ma, H., Yuan, A., Feng, Z., & Wu, Z. (2025). IES low‐carbon operation strategy based on double incentive GCT‐CET collaboration and demand response.

Hua, S., Jin, S., Song, Z., Liu, X., Wang, S., & Ma, H. (2025). Precision prediction strategy for renewable energy power in power systems—A physical‐knowledge integrated model. Processes, 13(4), 1049.

Hengrui, D. S. M., Wei, W., Lin, C., & Shufu, L. (2025). Two‐stage robust optimization of 5G base stations considering uncertainty of power load and electricity price.

Zhang, J., Wang, B., Ma, H., He, Y., Wang, H., & Zhang, H. (2025). Reliability evaluation method for underground cables based on double sequence Monte Carlo simulation. Processes, 13(2), 505.

Ma, F., Wang, B., Dong, X., Li, M., Ma, H., Jia, R., & Jain, A. (2025). Scene understanding method utilizing global visual and spatial interaction features for safety production. Information Fusion, 114, 102668.

Yuan, A., Ma, H., Yang, C., Xiao, H., Wang, B., Gao, D. W., & La, Q. (2025). Ultra‐short‐term wind power prediction based on digital twins. IET Renewable Power Generation, 19(1), e70155.

Wang, J., Ma, H., Yin, Z., Feng, Z., Yin, T., & Tian, J. (2024). YOLOv8‐CAFMFusion for image segmentation of substation operation elements in complex environments.

Tian, J., Ma, H., Wang, J., Feng, Z., Luo, P., & Yin, T. (2024). Research on real‐time sensing method of three‐dimensional information of substation based on convolutional neural network stereo matching.

Shadrack Mwatu | Environmental Visualization | Research Excellence Award

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Dr. Shadrack Mwatu | Environmental Visualization | Research Excellence Award 

University of Nairobi | Kenya

Shadrack Muthami Mwatu is a highly accomplished Senior Policy Analyst at the Kenya Institute for Public Policy Research and Analysis (KIPPRA), with extensive experience in public policy research, analysis, and advisory services. He holds a PhD in Economics, a Master’s degree in Economics, a BSc in Economics and Statistics (Upper Second Class Honors), and professional certifications including CPA Levels 1-3 and specialized training in data analysis, computable general equilibrium (CGE) modeling, theory of change, monitoring and evaluation, and trade policy analysis. Shadrack has a strong record of research and publication, including peer-reviewed journal articles, book chapters, discussion papers, policy briefs, and technical reports covering trade policy, economic growth, gendered participation in trade, low-carbon development, and socio-economic assessments across Kenyan counties. He has advanced technical expertise in data analysis using STATA, R, Python, SPSS, NVivo, EVIEWS, GIS, and SurveyCTO, as well as experience in programming surveys using ODK and KoBo Toolbox, developing CAPI tools, supervising enumerators, and managing large-scale data collection and analysis. His professional career spans KIPPRA, the Kenya National Chamber of Commerce and Industry (KNCCI), VAS Consulting, and Gertrudes Children’s Hospital, with roles focused on policy formulation, legislative advocacy, program design, impact evaluation, partnerships development, capacity building, and dissemination of research findings through seminars, workshops, and conferences. Shadrack has played a key role in policy engagement, providing evidence-based recommendations to government, stakeholders, and industry, and has contributed to national economic discourse through capacity-building trainings, peer-reviewed publications, and technical advisory. He is proficient in English, Kiswahili, Kikamba, and Kikuyu, with basic French skills, and is a member of professional bodies including the Institute of Economic Affairs and the University of Nairobi Alumni Club. Beyond his professional work, he engages in community service through charity initiatives, choir participation, and educational leadership, demonstrating a commitment to social development and mentorship. Shadrack is widely recognized for his analytical rigor, technical proficiency, collaborative approach, and ability to translate complex research into actionable policy insights, making him a leading figure in Kenya’s economic and trade policy landscape.

 

Profiles: Orcid | Google Scholar

Featured Publications 

Mwatu, S. M. (2025). Trade policies for low carbon development in developing countries: Insights from Kenya. Development Policy Review.

Mwatu, S. M. (2025). Trade, energy efficiency and low carbon development in Kenya. Development Policy Review. [Available here]

Mwatu, S. M. (2024). Impact of tariff liberalization on economic and social benefits: A CGE application to Kenya. Politics & Policy.

Mwatu, S. M. (2023). Trade agreements, technical regulations, and standards: Competitiveness implications for Kenyan exporters to the European Union. The European Journal of Development Research, 36(2).

Mwatu, S. M. (2023). Determinants of gendered participation in domestic trade: Evidence from Kenya. Journal of Global Entrepreneurship Research, 13(1), 1–15.

Mwatu, S. M. (2022). Institutions and export performance: Firm level evidence from Kenya. International Review of Economics, 69(4), 487–506.

Mwatu, S. M. (2023). Impact of the Russia-Ukraine war on grain and fertilizer supply: Evidence from Kenya. World Food Policy, 9(2), 1–25.

Mierxiati Abudurexiti | 3D Modeling & Rendering | Research Excellence Award

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Dr. Mierxiati Abudurexiti | 3D Modeling & Rendering | Research Excellence Award 

Shanghai Pudong Gongli Hospital | China

Dr. Mierxiati Abudurexiti is an attending urologist at the Department of Urology, Shanghai Gongli Hospital, Pudong New Area, with strong clinical, translational and pharmaceutical research experience in urological oncology. He completed his Ph.D. in Urology at Fudan University Shanghai Cancer Center (2017–2020), where he investigated fatty acid metabolism and mechanisms of drug resistance in prostate cancer, resulting in multiple English-language publications, including recognition in the 2020 EAU Urethral Cancer Guideline and citation by BMJ. During his doctoral training, he actively contributed to multidisciplinary clinical practice, clinical trial planning, national grant writing, academic conference organization, and earned first-class scholarships and the title of “excellent volunteer.” Following his Ph.D., he worked as a Medical Manager at Jiangsu Hengrui Pharmaceuticals (2020–2021), gaining expertise in clinical trial protocol design, statistical analysis and medical strategy in breast cancer, and directly contributing to the successful HR-BLT-003 trial presented at the 45th San Antonio Breast Cancer Symposium. He subsequently pursued postdoctoral research at the Shanghai Institute of Urological Oncology Laboratory, focusing on prostate cancer heterogeneity and drug resistance through single-cell multi-omics analysis; this led to publication in Advanced Science (IF 15.1) and further strengthened his research foundation in tumor biology. Since 2021, as an attending oncologist, he continues to integrate updated evidence-based oncology practice into patient care, while leading a funded research project on the role of CPT1B in the resistance mechanism of castration-resistant prostate cancer under the Pudong Science & Technology Commission. Earlier in his career, Dr. Mierxiati obtained his Master of Surgery in hepatobiliary surgery from Xinjiang Medical University (2011–2014), publishing early SCI papers on liver hydatid disease, followed by comprehensive standardized surgical training (2014–2016) at Xinjiang People’s Hospital, where he rotated through major surgical specialties and improved his clinical competencies. He later worked as a urology resident (2016–2017) in the same institution, participating in the management of benign and oncologic conditions, discipline-level key application projects, summit forums, and clinical trial implementation. Across his career, he has authored more than 12 peer-reviewed publications covering urological tumors, prognostic modeling, prostate cancer biology, and renal cancer therapy. His consistent focus on clinical innovation, molecular mechanisms of treatment resistance, and enhancement of patient outcomes highlights his commitment to advancing the field of urologic oncology.

Profile: Orcid

Featured Publications 

Xu, W., Ye, D., Abudurexiti, M., Zhang, H.*, et al. (2025). Preoperative VEGFR-TKI plus ICI therapy facilitates 3D-guided cytoreductive nephron-sparing surgical feasibility and immune remodeling in advanced renal cell carcinoma. Medical Research, 12, 1–17.

Bian, X., Wang, W., Abudurexiti, M.*, et al., & Wang, J. (2024). Integration analysis of single-cell multi-omics reveals prostate cancer heterogeneity. Advanced Science, e2305724.

Abudurexiti, M., Ma, J., Li, Y., et al. (2022). Clinical outcomes and prognosis analysis of younger bladder cancer patients. Current Oncology, 29(2), 578–588.

Wang, J., Abudurexiti, M., Shao, N., et al. (2020). The U-shape of prostate-specific antigen and prostate cancer-specific mortality in high-grade metastatic prostate adenocarcinoma. European Urology Focus, 6(1), 53–62.

Abudurexiti, M., Zhu, Y., & Ye, D. (2020). Locoregional surgical treatment improves the prognosis in primary metastatic testicular cancer patients with a single bone or brain metastasis. Molecular and Clinical Oncology, 6, 146–154.

Muhammet Emre Sanci | VR & Robotics | Research Excellence Award

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Dr. Muhammet Emre Sanci | VR & Robotics | Research Excellence Award 

University of Idaho – Department of Soil and Water Systems | United States

Dr. Muhammet Emre Sanci is a research scientist and postdoctoral fellow specializing in Artificial Intelligence, Machine Learning, Robotics, UAV-based remote sensing, precision agriculture, and hydrological–environmental modeling, currently affiliated with the University of Idaho, Department of Soil and Water Systems. He earned his Ph.D. in Mechatronics Engineering from Istanbul Technical University, where his doctoral research focused on adaptive inverse optimal controller design for non-affine nonlinear systems using machine learning techniques, supported by the Turkish Ministry of National Education. He holds distinction-level master’s and bachelor’s degrees in Electrical–Electronics Engineering, along with an honors degree in Physics, enriched by international academic experience at Vilnius University through the Erasmus+ program. His research career is driven by the integration of AI-driven modeling, nonlinear control algorithms, and intelligent systems to solve practical environmental and agricultural challenges. At the University of Idaho, he has contributed to cutting-edge research in adaptive irrigation, UAV swarming control, subsurface defect detection in civil infrastructure, greenhouse climate control, and drone-based pest management, while also mentoring graduate students, developing models, preparing proposals, and ensuring high-quality documentation of scientific outcomes. His technological contributions include the development of advanced intelligent controllers—such as ELM-MPC, UKF-MRAC, and NARMA-L2—designed to enable high-efficiency autonomous control in greenhouse systems and water management applications. His interdisciplinary efforts span the United States, Turkey, and Europe, focusing on environment-aware robotics, precision agriculture systems, and climate-resilient technologies. He has authored peer-reviewed journal articles, developed simulation frameworks, and participated in several funded projects, including major U.S. National Science Foundation (NSF) and TUBITAK grants. With a portfolio including 10 completed or ongoing research projects, SCI-indexed publications, and growing academic citations, he continues advancing innovation at the intersection of AI, control systems, and environmental sustainability. His professional memberships include IEEE and ASABE, reflecting his active engagement within leading engineering and automation communities. Dr. Sanci has significant teaching experience at Istanbul Technical University and Pamukkale University, assisting in a wide range of courses––from control systems and stochastic processes to microcontrollers, deep learning, intelligent systems, instrumentation, and robotics––contributing to both theoretical education and laboratory-based learning environments. His achievements have been recognized with awards such as the Engineering Research Symposium Poster Prize and scholarships for academic excellence. Skilled in MATLAB, Python, C/C++, ROS, embedded systems, and simulation platforms, he continues to develop innovative technologies for UAVs, environmental monitoring, and smart agriculture toward globally sustainable solutions.

Profiles: Orcid |  Google Scholar

Featured Publications 

Sancı, M. E. (2025). An AI-enhanced adaptive discrete sliding mode control framework for non-affine nonlinear systems. International Journal of Robust and Nonlinear Control. Advance online publication.

Sancı, M. E., & Öke Günel, G. (2024). Neural network based adaptive inverse optimal control for non-affine nonlinear systems. Neural Processing Letters, 56(2), 46–59.

Sancı, M. E., & Öke Günel, G. (2024). Neural network based adaptive inverse optimal control for non-affine nonlinear systems. Neural Processing Letters, 56(2), 46–59.

Sancı, M. E., Uçak, K., & Öke Günel, G. (2023). A novel adaptive LSSVR based inverse optimal controller with integrator for nonlinear non-affine systems. IEEE Access, Article eXXXXX.

Jendrian Riedel | Immersive Visualization | Research Excellence Award

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 Dr. Jendrian Riedel | Immersive Visualization | Research Excellence Award 

Hochschule Bremen | Germany

Dr. Jendrian Riedel is a German biologist specializing in zoology with a strong interdisciplinary focus bridging evolutionary biology, biodiversity research, and bionics innovation. He completed his Diplom (Master’s) in Biology at the University of Bonn in 2013, majoring in Zoology with minors in Palaeontology and Philosophy, reflecting a foundation in both organismal biology and broader scientific thinking. Following this, he pursued a Ph.D. in Natural and Physical Sciences with a focus on Zoology at James Cook University, Australia, under the supervision of Prof. Dr. Lin Schwarzkopf, completing his doctorate in 2020. During his early academic career, Dr. Riedel expanded his research experience internationally, serving as a Guest Scientist at the Department of Evolutionary Biology at Bielefeld University, Germany, in 2020, followed by a postdoctoral position there in 2021. He further deepened his expertise in biodiversity analysis and evolutionary research as a postdoctoral researcher at the Leibniz Institute for the Analysis of Biodiversity Change (LIB) – Museum Koenig Bonn, Germany, from 2022 to 2023. Since 2024, he has been contributing to interdisciplinary research as a researcher at the Core Facility for Multidisciplinary Structural Analysis & Bionics Innovation Center at Hochschule Bremen, Germany, where he applies his knowledge of zoology and structural analysis to advance biomimetic and bionics-driven innovations. Dr. Riedel’s career demonstrates a consistent integration of classical zoological research with contemporary approaches in biodiversity assessment and applied bionics, reflecting both depth in organismal science and a strong commitment to multidisciplinary scientific innovation. His work is characterized by a combination of field-based and laboratory research, international collaborations, and a focus on translating biological insights into technological applications, positioning him as a versatile researcher at the intersection of natural sciences and applied bionics.

Profile: Google Scholar

Featured Publications 

Pillai, R. R., Riedel, J., Wirth, W., Allen-Ankins, S., Nordberg, E., Edwards, W., … (2025). What’s the point? The functional role of claws in pad-bearing taxa (Gekkota: Diplodactylidae). Proceedings B, 292(2054), 20251362.

Kukla, Y., Riedel, J., & Rödder, D. (2025). Sticky innovation, limited expansion: Biogeography and evolutionary ecology of toepads in geckos. Journal of Biogeography, e70087.

Hofmann, S., Rödder, D., Andermann, T., Matschiner, M., Riedel, J., Baniya, C. B., … (2024). Exploring Paleogene Tibet’s warm temperate environments through target enrichment and phylogenetic niche modelling of Himalayan spiny frogs (Paini, Dicroglossidae). Molecular Ecology, 33(15), e17446.

Hofmann, S., Rödder, D., Andermann, T., Matschiner, M., Riedel, J., Baniya, C. B., … (2024). Exploring Paleogene Tibet’s warm temperate environments through target enrichment and phylogenetic niche modelling of Himalayan spiny frogs (Paini, Dicroglossidae). Molecular Ecology, 33(15), e17446.

Riedel, J., Klemm, M., Higham, T., Grismer, L. L., Ziegler, T., Russell, A., Rödder, D., … (2023). Variation in claw morphology among the digits of Bent-toed geckos (Cyrtodactylus: Gekkota: Gekkonidae). BMC Zoology, 8(1), 19.

Haifeng Pei | VR in Healthcare | Research Excellence Award

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Prof. Haifeng Pei | VR in Healthcare | Research Excellence Award

The general hospital of western theater command | China 

Prof. Haifeng Pei is a distinguished cardiologist and Director of the Cardiology Department at The General Hospital of Western Theater Command, serving also as a Doctoral Supervisor and Principal Investigator for the National Key Research and Development Program. Recognized as a Young Elite in Cardiovascular Diseases and Arrhythmia Prevention and Treatment, as well as a Tianfu Science and Technology Elite, he is a reserve candidate for Academic and Technical Leadership in Sichuan Province and a recipient of the Sichuan Outstanding Youth Science Fund. Prof. Pei has led over ten major research projects, including the National Key R&D Program, General Programs of the National Natural Science Foundation, and the Sichuan Outstanding Youth Fund, with a focus on high-altitude medicine and cardiovascular innovations. His scholarly contributions include more than 110 publications, 47 of which are indexed in SCI and Scopus, collectively accruing over 2,200 citations and a cumulative impact factor exceeding 300. In addition to his publications, he has secured 13 authorized invention patents and received four provincial or ministerial-level awards for scientific and technological progress. Beyond research, Prof. Pei contributes to the academic community as a member of the Editorial Board for Medical Information and actively participates in professional societies, including the Cardiovascular Disease Committees of both the Chinese Medical Association and the Sichuan Medical Association. He has also overseen significant national science and technology projects, fostering collaborations that advance cardiovascular research and clinical applications. Prof. Pei’s work bridges clinical practice, research, and innovation, demonstrating leadership in developing new diagnostic and therapeutic approaches for cardiovascular diseases, particularly in challenging high-altitude environments. His expertise is recognized nationally and internationally, with numerous citations reflecting the impact of his findings on the broader scientific community. Through his dedication, Prof. Pei has advanced knowledge in cardiology, contributed to the cultivation of new scientific talent, and driven technological innovation with tangible clinical applications. His career embodies research excellence, professional leadership, and a sustained commitment to improving cardiovascular health outcomes, making him an exemplary candidate for the Research Excellence Award. Academic and professional profiles supporting his work are available through ORCID and published literature, validating the breadth and depth of his contributions to medicine and science.

Profile:  Orcid

Featured Publications 

Pei, H., Zhang, X., Li, Y., & Wang, J. (2023). High-altitude cardiovascular adaptations in patients with chronic hypoxia: A multicenter study. Cardiovascular Diagnosis and Therapy, 13(2), 233–245.

Pei, H., Chen, L., & Zhao, Q. (2022). Advances in arrhythmia prevention and treatment in high-altitude environments. Journal of Cardiovascular Electrophysiology, 33(5), 1050–1062.

Pei, H., Li, W., & Sun, F. (2021). Clinical evaluation of novel cardiovascular interventions: Outcomes and safety analysis. International Journal of Cardiology, 329, 1–10.

Pei, H., Wu, Y., & Liu, Z. (2020). Mechanisms of high-altitude-induced cardiac arrhythmias: Experimental and clinical insights. Frontiers in Cardiovascular Medicine, 7, 123.

Pei, H., & Gao, T. (2019). Patent innovations in cardiovascular device development: Trends and future directions. Medical Devices: Evidence and Research, 12, 45–55.

Wajid Ali | Brain–Computer Interfaces | Research Excellence Award

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Dr. Wajid Ali | Brain–Computer Interfaces | Research Excellence Award 

Shenzhen University | China

Wajid Ali is a materials physicist and chemist at the Dalian Institute of Chemical Physics, Chinese Academy of Sciences, specializing in enhancing the stability and performance of perovskite solar cells and exploring their applications in hybrid energy systems and advanced devices such as resistive random-access memory (RRAM). His research focuses on ferroelastic twin-domains in metal halide perovskites and the integration of perovskite materials into functional energy and memory devices. Wajid has extensive experience in material characterization techniques, including transmission and scanning electron microscopy (TEM, SEM), atomic force microscopy (AFM), grazing-incidence wide-angle X-ray scattering (GIWAXS), X-ray diffraction (XRD), UV-vis and photoluminescence spectroscopy, and impedance analysis, as well as device fabrication skills for solution-processed perovskite solar cells in both conventional and inverted structures. Professionally, he has conducted research on piezoelectric and ferroelectric materials at Nanjing University of Science and Technology and served as an assistant professor teaching physics at the Royal College of Sciences in Pakistan. Wajid’s work has been recognized with awards such as the 2024 Yanchang Petroleum Outstanding Doctoral Student Scholarship, the 2023 Excellent International Students of UCAS, the Academic Innovation Award from FReCAP, the CAS-TWAS fellowship, and the Merit Award at Quaid-i-Azam University. He has contributed to over a dozen peer-reviewed publications in high-impact journals including Nature Communications, ACS Energy Letters, ACS Applied Materials & Interfaces, Materials Chemistry and Physics, and Journal of Alloys and Compounds, advancing the understanding of ferroelasticity, lattice tuning, and suppression of non-radiative recombination in perovskite solar cells. Additionally, he has presented his research at international conferences such as the International Symposium on Solar Fuels and Solar Cells and the Young Scholars Forum on Perovskite Materials and Devices, collaborating with prominent researchers including Prof. Can Li, Prof. Xin Guo, and Prof. G.H. Jaffari.

Featured Publications

Qin, W., Ali, W., Wang, J., Liu, Y., Yan, X., Zhang, P., Feng, Z., & Li, C. (2023). Suppressing non-radiative recombination in metal halide perovskite solar cells by synergistic effect of ferroelasticity. Nature Communications, 14(1), 256.

Ali, W., Qin, W., Tian, H., Guo, J., Feng, Z., & Li, C. (2023). Tuning lattice structure of ferroelastic twin-domains achieving efficient perovskite solar cells. ACS Energy Letters, 8, 5070–5078.

Ali, W., Tian, H., Guo, J., Feng, Z., Qin, W., & Li, C. (2024). Suppressed non-radiative recombination in formamidinium lead triiodide under electric activation. ACS Applied Materials & Interfaces, 16, 67642–67650.

Ali, W., Jaffari, G. H., Khan, S., & Liu, Y. (2018). Morphological control of 1D and 3D TiO2 nanostructures with ammonium hydroxide and TiO2 compact layer on FTO coated glass in hydrothermal synthesis. Materials Chemistry and Physics, 214, 48–55.

Sungeun Suh | Human–Computer Interaction | Research Excellence Award

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Assoc. Prof. Dr. Sungeun Suh | Human–Computer Interaction | Research Excellence Award 

Gachon Unniversity | South Korea

Suh, S. E. is a leading researcher and educator in fashion design, recognized for her innovative integration of digital technologies, artificial intelligence, and sustainable practices into contemporary and traditional fashion contexts. Her scholarship focuses on the intersection of technology, culture, and design, exploring how digital platforms like Instagram and YouTube influence personal style, fashion consumption, and cultural representation. She has conducted extensive research using big data and text mining to decode global and Korean fashion trends, as well as generative AI to enhance creativity in textile and fashion design, including the development of customized designs based on traditional Korean patterns. Suh’s work emphasizes sustainability, addressing circular fashion, the eco-conscious practices of Generation Z, and the creation of performance-oriented ‘New Hanbok’ utilizing traditional craft techniques such as Najeon and Hanji, bridging heritage with contemporary design innovation. Her research also investigates historical and subcultural fashion phenomena, from 1970s–1980s casual subculture and British soccer hooliganism to Yosemite rock climbing communities, highlighting the sociocultural significance of fashion across contexts. She has published widely in top-tier journals including Sustainability, Fashion and Textiles, Journal of Fashion Design, and Humanities and Social Sciences Communications, reflecting her interdisciplinary approach spanning design, technology, and cultural studies. Beyond academia, Suh has actively translated her research into applied projects, including AI-based fashion pattern datasets (K-Deep Fashion), smart fashion product development supported by the Korean Ministry of Science and ICT, and practical design contributions such as the Pyeongchang Olympic private security uniforms and government facility uniforms. She has been recognized with multiple awards for excellence in research and presentation, including Best Reviewer Awards and numerous Awards of Excellence for poster and oral presentations at national and international conferences. Suh has also participated in prominent exhibitions, including the International Fashion Art Biennale in Busan (2022) and KSFD Fashion Exhibition (2021), demonstrating her ability to engage both scholarly and public audiences. Overall, her work represents a unique convergence of fashion, technology, and sustainability, positioning her as a leading figure in contemporary fashion research and education, whose contributions consistently bridge theoretical insight with practical, industry-relevant innovation.

Profile: Google Scholar

Featured Publications

Lee, N., & Suh, S. (2025). Decoding Korean men’s fashion trends: A text mining analysis of YouTube content. Humanities and Social Sciences Communications, 12(1), 1–17.

Lee, N., & Suh, S. (2024). How does digital technology inspire global fashion design trends? Big data analysis on design elements. Applied Sciences, 14(13), 5693.

Jung, D., & Suh, S. (2024). Enhancing soft skills through generative AI in sustainable fashion textile design education. Sustainability, 16(16), 6973.

Lee, J., & Suh, S. (2024). AI technology integrated education model for empowering fashion design ideation. Sustainability, 16(17), 7262.

Christiane Lange-Kuttner | Cognitive VR Research | Research Excellence Award

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Prof. Christiane Lange-Kuttner | Cognitive VR Research | Research Excellence Award 

Universitat Bremen | Germany

Prof. Dr. Chris Lange-Küttner is an internationally recognised developmental and cognitive psychologist whose extensive academic career spans Germany, the United Kingdom, and Cyprus, with core expertise in children’s visual cognition, spatial development, drawing, memory, intelligence, uncertainty processing, and developmental differences such as ASD and ADHD. She currently serves as Editor-in-Chief of Cognitive Development and previously held long-term editorial roles in major journals including Frontiers in Developmental Psychology, Journal of Experimental Child Psychology, and International Journal of Developmental Science. She holds an H-index exceeding 90 across major citation platforms, reflecting her substantial research influence. Educated at the Technical University Berlin and Free University Berlin, she earned her Dr. phil. magna cum laude, published her early landmark work on children’s graphic competence, and later completed her habilitation at the University of Bremen on spatial systems in development and learning. Her academic appointments include W3 and W2 Professorships in Developmental Psychology (Greifswald, Konstanz), more than two decades as Senior Lecturer at London Metropolitan University, and adjunct faculty roles at the University of Nicosia. She has led major research projects such as INSIDE at the Leibniz Institute for Educational Trajectories and has contributed significantly to academic leadership as Chair of the TEAP Conference, Psychology Ethics Committee Chair, Erasmus Coordinator, and PhD viva examiner. Her honours include listings in Outstanding Intellectuals of the 21st Century and Who’s Who, alongside multiple fellowships such as FHEA and Associate Fellow of the BPS. Prof. Lange-Küttner’s recent publications span influential topics including school transitions, ADHD–education links, visual search, spatial heuristics, relative age effects, longitudinal school performance, and academic-social profiles in autism. Her extensive earlier work includes foundational studies on drawing development, perceptual load, spatial binding, mental rotation, reaction time systems, bilingual speech preparation, object-based practice in Alzheimer’s disease, and cognitive mechanisms underlying children’s learning. She has supervised multiple doctoral and master’s students and mentored international interns whose work has led to published outcomes. Skilled in Python, R, SPSS, JMP, MPlus, AMOS, and experimental software, she integrates computational, statistical, and experimental methodologies to advance developmental science. Her career is marked by cross-disciplinary impact, global collaborations, and sustained contributions to understanding how children perceive, organise, and learn from the visual and spatial world.

Profiles: Scopus | Orcid

Featured Publications

Chris Lange-Kuttner, C. (2025). Spatial heuristics and random spatial exploration: Children, adults, and the machine coloring-in places in the grid game. Frontiers in Developmental Psychology.

Chris Lange-Kuttner, C. (2025). Visual search and domain-specific interests in children. International Journal of Developmental Science.

Chris Lange-Kuttner, C. (2025). The relative age effect in secondary schools. Cognitive Development.

Chris Lange-Kuttner, C. (2025). A 5-year longitudinal study about the effect of school change on grades. The Journal of Genetic Psychology.

Chris Lange-Kuttner, C. (2025). Academic and social profiles of adolescents with autism. Psychological Test and Assessment Modeling.

Chris Lange-Kuttner, C. (2024). Are school grades correlated with competencies in secondary school pupils with special needs? Frontiers in Education.

Chris Lange-Kuttner, C. (2024). Object-based practice effects recover the graphic object concept in Alzheimer’s dementia. Psychology of Aesthetics, Creativity, and the Arts.

Chris Lange-Kuttner, C. (2024). COVID-stressed schools struggled to teach mathematics. Acta Psychologica.

Chris Lange-Kuttner, C. (2024). Visual and motor cognition in children and infants. Routledge.