Chengcheng Hu | 2D Materials and Beyond | Research Excellence Award

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Dr. Chengcheng Hu | 2D Materials and Beyond | Research Excellence Award

Northeastern University | China

Dr. Chengcheng Hu is a computational materials scientist specializing in theoretical and first-principles investigations of advanced energy materials. Her research centers on the rational design of two-dimensional van der Waals heterostructures for next-generation alkali metal–ion batteries. Using density functional theory and electrochemical modeling, she explores interfacial mechanisms governing ionic transport, mechanical stability, and charge storage performance. Dr. Chengcheng Hu has published peer-reviewed articles in high-impact SCI-indexed journals such as Inorganic Chemistry Frontiers and Electrochimica Acta. Her work contributes to establishing predictive computational frameworks that guide experimental development of high-rate, durable battery anodes. She also actively serves as a reviewer for international journals in electrochemistry and materials science, supporting the advancement of rigorous computational research.

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Featured Publications


Rapid room-temperature H2S detection based on Bi2S3/CuO heterostructures: the synergy of increased surface-adsorbed oxygen and a heterojunction effect

– Chengcheng Hu; Meiling Yu; Zhenze Zhou; Chenda Wei; You Wang; Juanyuan Hao · Inorganic Chemistry Frontiers, 2025

Gulnaz Zakariya | Data Science and Analytics | Research Excellence Award

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Mrs. Gulnaz Zakariya | Data Science and Analytics | Research Excellence Award

Satbayev University | Kazakhstan

Mrs. Gulnaz Zakariya is a researcher specializing in Machine Learning, Data Science, and Geospatial Analytics, with strong interdisciplinary contributions spanning FinTech and remote sensing. Her research focuses on the development of intelligent data-driven models for credit risk assessment, antifraud systems, and decision-support frameworks using machine learning and deep learning techniques. She has also made notable contributions to object-based image analysis and spatial change detection, particularly in the study of informal settlements using satellite imagery. Her work bridges applied artificial intelligence, geoinformatics, and financial technology, emphasizing model robustness, interpretability, and real-world deployment. She has published in peer-reviewed international journals and conferences indexed in major scholarly databases, contributing to innovation at the intersection of data science, spatial analytics, and applied AI-driven solutions.

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Featured Publications


Innovative Credit Scoring and Sales Accounting Solutions for SMEs in Kazakhstan

– Gulnaz Zakariya, Olzhas Akylbekov, Aiman Moldagulova,· FinTech, 2025


Object-based change detection of informal settlements

– P. Hofmann, G. Bekkarnayeva · JURSE 2017 (IEEE)

Samyak Singh | Agricultural | Research Excellence Award

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Dr. Samyak Singh | Agricultural | Research Excellence Award

Guru Ghasidas Vishwavidyalaya | India

Dr. Samyak Singh is a Forestry and Environmental Scientist specializing in biodiversity assessment, ecosystem services, carbon sequestration, and ecological restoration. He holds a PhD in Forestry and Environmental Sciences from Guru Ghasidas Vishwavidyalaya and advanced degrees in Forestry from Hemvati Nandan Bahuguna Garhwal University. His experience spans doctoral research, ecological assessment and restoration planning for mining projects, and monitoring and evaluation of forest restoration programs under CAMPA. His research focuses on forest diversity, soil and microbial carbon dynamics, land-use impacts, and human–ecosystem interactions. Through peer-reviewed publications and applied fieldwork, he contributes to evidence-based conservation, sustainable forest management, and climate-resilient landscape planning.

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Featured Publications

Huiming Wang | Robotics | Research Excellence Award

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Assoc. Prof. Dr. Huiming Wang | Robotics | Research Excellence Award

Chongqing University of Posts and Telecommunications | China

Assoc. Prof. Dr. Huiming Wang is an established researcher in advanced control systems and intelligent electromechanical systems, with a strong focus on disturbance rejection control, sliding mode control, and robust finite-time control theory. His research outputs span robotics, servo systems, power electronics, rehabilitation robots, and compliant actuators. According to Google Scholar, he has published over 33 peer-reviewed journal and conference papers, accumulating approximately 1016 citations with an h-index of 14. His work is widely cited in leading IEEE and international control journals, reflecting sustained impact in nonlinear control theory and engineering applications.

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Olzhas Akylbekov | Data Science and Analytics | Research Excellence Award

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Mr. Olzhas Akylbekov | Data Science and Analytics | Research Excellence Award

Satbayev University | Kazakhstan

Mr. Olzhas Akylbekov is a researcher in data science and machine learning with a strong focus on applied artificial intelligence for spatial analysis and intelligent systems. His scholarly work emphasizes deep learning architectures, hybrid neural networks, and spatial data modeling for real-world decision support systems. According to Scopus, he has 2 peer-reviewed publications, with a total of 20 citations and an h-index of 2. His research contributions are published in internationally recognized journals indexed in Web of Science and Scopus, reflecting impact in areas such as urban spatial analytics and AI-driven content analysis.

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Featured Publications


Hybrid CNN-LSTM Network for Cyberbullying Detection on Social Networks using Textual Contents

– International Journal of Advanced Computer Science and Applications(IJACSA), 2023 · Cited by 19

Meriem Taleb | Agricultural | Forensic Scientist of the Year Award

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Dr. Meriem Taleb | Agricultural | Forensic Scientist of the Year Award

University of Blida 1 | Algeria

Dr. Meriem Taleb is a forensic biologist and medical entomologist whose research integrates parasitology, molecular biology, and bioinformatics to advance forensic and medico-legal sciences. Her work is widely recognized for strengthening species identification, post-mortem interval (PMI) estimation, and applied maggot therapy using combined morphological and DNA-based approaches. She has produced original molecular data on necrophagous Diptera and contributed to baseline forensic entomology knowledge in North Africa. According to Scopus, she has 9 peer-reviewed publications, 34 citations, and an h-index of 4, reflecting the growing scientific impact of her research.

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Mian Sahib Zar | Biochemistry, Genetics and Molecular Biology | Best Review Paper Award

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Assist. Prof. Dr. Mian Sahib Zar | Biochemistry, Genetics and Molecular Biology | Best Review Paper Award

Hamdard College of Health Sciences (HCHS), Buner | Pakistan

Assist. Prof. Dr. Mian Sahib Zar is an interdisciplinary researcher in forensic molecular biology, forensic genetics, and applied synthetic biology, with a strong focus on DNA-based human identification, forensic SNP/STR systems, ancient DNA, and multi-omics applications in postmortem investigations. His research portfolio includes 18 Scopus-indexed publications, accumulating 224 citations with an h-index of 8 (Scopus). He has contributed to high-impact international journals and Springer book chapters, advancing methodologies in degraded DNA analysis, forensic population genetics, and molecular diagnostics. His work bridges forensic science with applied biotechnology and translational research, strengthening evidence-based forensic investigations.

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Featured Publications


Ferulic acid promoted in-situ generation of AgNPs@silk as functional colorants

– Journal of Cleaner Production, 2018 · Cited by 38


Y-chromosomal STR analysis in the Pashtun population of Southern Afghanistan

– Forensic Science International: Genetics 6 (4), e103-e105, 2012 · Cited by 18

Amrita Ganguly | Computer Science and Artificial Intelligence | Research Excellence Award

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Mrs. Amrita Ganguly | Computer Science and Artificial Intelligence | Research Excellence Award

George Mason University | United States

Mrs. Amrita Ganguly is a researcher working at the intersection of Responsible and Ethical Artificial Intelligence, Human–AI Interaction, and AI applications in education. Her scholarly contributions focus on ethical governance of generative AI, human-centered AI design, and collaborative intelligence frameworks. According to Scopus, she has 7 peer-reviewed publications, 19 citations, and an h-index of 2. Her work appears in high-impact international journals and premier conferences in AI ethics, human–computer interaction, and computing education. Her research emphasizes evidence-based guidelines, design frameworks, and ethical considerations that shape responsible AI deployment in academic and socio-technical contexts.

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Featured Publications


Collaborative job seeking for people with autism: Challenges and design opportunities

– CHI ’24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems · Cited by 18


ShadowMagic: Designing Human-AI Collaborative Support for Comic Professionals’ Shadowing

– UIST ’24: Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology · Cited by 5

Ebeney Whillas | Medicine and Health Sciences | Research Excellence Award

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Ms. Ebeney Whillas | Medicine and Health Sciences | Research Excellence Award

University of Wollongong | Australia

Ms. Ebeney Whillas is a sports nutrition researcher whose work focuses on nutrition-related experiences during the transition from elite sport to post-competitive life. Her research is grounded in qualitative inquiry, addressing a critical gap in sports nutrition literature by centering the voices of former elite athletes. She is the lead author of a peer-reviewed article published in Nutrients (MDPI), which examines how entrenched sporting cultures continue to shape eating behaviours, health perceptions, and wellbeing after retirement from elite competition. Her scholarship contributes to a growing recognition that athlete nutrition support must extend beyond performance-focused phases to encompass long-term health and adjustment. Ms. Whillas’ research interests include athlete transition, sports nutrition culture, and the relationship between nutrition practices and mental wellbeing. Through her work, she provides evidence to inform more holistic, sustainable, and athlete-centered nutrition interventions across the full athletic lifespan.

Profiles: Sci Profiles | LinkedIn

Featured Publications

• Whillas, E. K., Craddock, J. C., & Lambert, K. (2025). Navigating nutrition beyond elite sport: A qualitative exploration of experiences after retirement. Nutrients, 17(24), Article 3920. https://doi.org/10.3390/nu17243920

Vyacheslav Abramov | Mathematics | Research Excellence Award

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Dr. Vyacheslav Abramov | Mathematics | Research Excellence Award

Retired Academician, Monash University | Australia

Dr. Vyacheslav Abramov is an internationally recognized mathematician whose research centers on probability theory, stochastic processes, and queueing systems, with strong applications to telecommunications, computer networks, and applied stochastic modelling. His scholarly work has made foundational contributions to the theory of Markov chains, random walks, loss systems, Toeplitz and circulant matrices, and asymptotic methods in queueing networks. He is also known for extending classical convergence tests, recurrence criteria, and fixed-point theorems to infinite-dimensional settings. His research bridges rigorous mathematical theory with practical modelling problems in engineering and networked systems.

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Featured Publications


A new criterion for recurrence of Markov chains with an infinitely countable set of states

– Theory of Probability and Mathematical Statistics, 112(5), October 2024


CONDITIONS FOR RECURRENCE AND TRANSIENCE FOR TIME-INHOMOGENEOUS BIRTH-AND-DEATH PROCESSES

– Bulletin of the Australian Mathematical Society, 109(2), May 2023