Syarifah Inayati | Modeling | Research Excellence Award

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Syarifah Inayati | Modeling | Research Excellence Award

Dr. Syarifah Inayati at Universitas Negeri Yogyakarta | Indonesia

Syarifah Inayati is an academic researcher at Universitas Negeri Yogyakarta with expertise in statistics, mathematical finance, and optimization, and a scholarly record that demonstrates strong engagement with advanced quantitative modeling and applied statistical analysis. Her research primarily focuses on time series modeling, particularly Markov Switching Autoregressive (MSAR) and Bayesian time-varying parameter models, which she applies to dynamic economic forecasting and financial market analysis. Several of her studies address financial risk and investment analysis, including stock market contagion between Indonesia and the United States, portfolio analysis using Gaussian mixture distributions with expectation–maximization algorithms, and risk measurement through Value at Risk methods under Bayesian mixture frameworks. Beyond financial applications, she has made notable contributions to socio-economic and public policy research, such as forecasting BPJS health insurance beneficiaries using fuzzy time series methods and modeling the Human Development Index of Central Java using three-parameter gamma regression. Her work in optimization includes nonlinear multiobjective optimization problems solved through Pareto front and weighting approaches, demonstrating methodological depth and versatility. In addition to theoretical and applied research, Syarifah Inayati is actively involved in community service and capacity building, contributing to workshops and training programs on nonparametric analysis, factor analysis, logistic regression, and statistical methods for social sciences and education. With 39 citations, an h-index of 4, and consistent citation growth since 2020, her research reflects a balanced integration of rigorous statistical methodology, interdisciplinary collaboration, and practical relevance. Overall, her scholarly contributions strengthen the application of modern statistical and econometric techniques in finance, economics, public policy, and applied mathematics, while also supporting knowledge dissemination through educational and community-oriented initiatives.

Citation Metrics (Google Scholar)

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Citations
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h-index
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                             🟦 Citations  🟥 h-index  🟩 i10-index

Featured Publications

Wenyan Wu | Modeling | Best Researcher Award

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Wenyan Wu | Modeling | Best Researcher Award

Dr. Wenyan Wu at Guangdong University of Technology | China

Dr. Wenyan Wu is an emerging researcher whose work focuses on the intersection of artificial intelligence, multimodal learning, and intelligent systems with applications in emotion recognition, sentiment analysis, and human-computer interaction. Since creating her ORCID record in August 2022, Dr. Wu has actively contributed to advancing research in cross-modal data analysis, integrating deep learning frameworks with cognitive and affective computing techniques. Her recent publication, “Modality-Enhanced Multimodal Integrated Fusion Attention Model for Sentiment Analysis” (Applied Sciences, 2025), introduces a novel attention-based fusion approach to improve sentiment analysis accuracy by effectively capturing inter-modal dependencies across text, audio, and visual cues. In “Collaborative Analysis of Learners’ Emotional States Based on Cross-Modal Higher-Order Reasoning” (Applied Sciences, 2024), Dr. Wu explores emotion-aware learning environments, presenting innovative reasoning mechanisms for identifying and analyzing learners’ affective states to enhance adaptive education systems. Her research on “Mask-Wearing Detection in Complex Environments Based on Improved YOLOv7” (Applied Sciences, 2024) demonstrates her interdisciplinary expertise, combining computer vision and deep neural networks to address real-world safety monitoring challenges. Earlier, her foundational study, “A Novel Method for Cross-Modal Collaborative Analysis and Evaluation in the Intelligence Era” (Applied Sciences, 2022), laid the groundwork for her later research by proposing an integrated model for data collaboration across modalities in intelligent environments. Dr. Wu’s scholarly output reflects her strong analytical and technical acumen, emphasizing multimodal integration, attention mechanisms, and deep learning optimization. Her contributions not only advance theoretical understanding but also provide practical frameworks for developing emotionally intelligent and context-aware AI systems, bridging the gap between computational models and human-centered design in modern intelligent applications.

Profile: Orcid 

Featured Publications 

Memet Şahin | Modeling | Best Researcher Award

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Memet Şahin | Modeling | Best Researcher Award

Prof. Dr. Memet Şahin, Gaziantep University, Turkey.

Salem Brahim | Modeling | Best Researcher Award

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Salem Brahim | Modeling | Best Researcher Award

Dr. Salem Brahim, Institut Supérieur des Etudes Technologiques de Gafsa, Tunisia.

Assist. Prof. Dr. Reza Gholizadeh | Modeling Awards | Best Researcher Award

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Assist. Prof. Dr. Reza Gholizadeh | Modeling Awards | Best Researcher Award

Assist. Prof. Dr. Reza Gholizadeh | Modeling Awards | Best Researcher Award

Dr. Reza Gholizadehaghoyeh is an internationally recognized chemical engineer and scientist, specializing in sustainable and environmentally friendly chemistry. With an impressive track record in multiple countries, including China, Cyprus, Italy, and Slovenia, he is renowned for pioneering a novel green bifunctional electrocatalyst that directly converts CO2 greenhouse gas into valuable chemicals and fuels. Dr. Gholizadehaghoyeh holds a Ph.D. in Chemical Engineering and Technology from Tsinghua University, China. His expertise spans renewable energy, machine learning, nanomaterials, multiscale modeling, and catalysis. Currently residing in Ljubljana, he serves as a Research Assistant Professor at the National Institute of Chemistry, Slovenia, where he leads EU-funded projects on CO2 conversion, photocatalysis, and hydrogen storage. Additionally, he is an advisor to Slovenian students and researchers, fostering innovation and sustainability in the scientific community.

Professional Profile:

Scopus

🎓Education:

Dr. Reza Gholizadehaghoyeh holds a Ph.D. in Chemical Engineering and Technology from Tsinghua University, Beijing, China, where he conducted research on “NOx Gases Adsorption and Decomposition on Metal Oxides and Si/Se Doped Graphene Catalysts: DFT Simulations” under the supervision of Professor Yang-Xin Yu (2011-2015). He earned his M.Sc. in Engineering with a focus on water field from the Department of Chemical Engineering, Science and Research Branch of Tehran University, Iran, where he investigated the corrosion of aluminum alloys and designed a water purification system (2004-2007). His academic journey began with a B.Sc. in Chemical Engineering from Azad University, Iran, where he studied the glucose separation of sugar beet (1997-2001).

🏢Work Experience:

Dr. Reza Gholizadehaghoyeh currently serves as a Research Assistant Professor in the Department of Catalysis and Chemical Reaction Engineering at Kemijski inštitut, Ljubljana, Slovenia (since June 2021). Additionally, he is a member of the editorial board for the Journal of Archives of Advanced Engineering Science (since November 2021). From November 2020 to November 2022, he was a Marie-Curie Individual Postdoctoral Scholar at the same institute. Prior to this, he was a member of the Board of Directors and R&D Manager at Moghavem Shargh Company in Mashhad, Iran (2017-2020). Dr. Gholizadehaghoyeh also completed a postdoctoral fellowship at Tsinghua University, Beijing, China (2015-2017), where he later served on the Strategic Scientific Advisory Panel and as an instructor for the General Science and Technology Summer School (2016). His earlier roles include being the Scientific Director of the Water Chemistry Group at the Science and Technology Research Institute in Tehran, Iran (2009-2011), and a Senior Consultant and Engineer in the Water & Wastewater Purification field at the same institute (2005-2009). He also worked as a Scientific Advisor and Instructor at Tabriz Azad University, Tabriz, Iran (2003-2005), and completed an internship at Tabriz Oil Refining Company, Tabriz, Iran (2000-2001)

🏆Awards:

Dr. Reza Gholizadehaghoyeh has been honored with several prestigious awards throughout his career. In 2020, he received the Marie-Curie Individual Fellowship from the European Union. His exemplary research contributions were also recognized by Tsinghua University in Beijing, China, where he was awarded the Best Researcher Award in 2016. Earlier in his career, he was distinguished by Azad University in Iran with the Distinguished Alumni Award in 2012.

Publication Top Notes:

Title: A comprehensive review on the carbide-base coatings produced by thermo-reactive diffusion: microstructure and properties viewpoints

Citations: 3

Title: Removal of GenX by APTES functionalized diepoxyoctane cross-linked chitosan beads

Citations: 3

Title: Computational investigation of N2O adsorption and dissociation on the silicon-embedded graphene catalyst: A density functional theory perspective

Citations: 11

Title: Molecular dynamics simulation of the aggregation phenomenon in the late stages of silica materials preparation

Citations: 93

Title: N2O adsorption and decomposition over ZnO(0001) doped graphene: Density functional theory calculations

Citations: 48

 

 

 

Assoc Prof Dr. Tareq Manzoor| Modeling Award | Best Innovation Award

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Assoc Prof Dr. Tareq Manzoor| Modeling Award | Best Innovation Award

Assoc Prof Dr. Tareq Manzoor , COMSATS UIVERSITY , Pakistan

Dr. Tareq Manzoor Ahmed is a distinguished academic and professional engineer with a robust background in Thermal Engineering and Petroleum Engineering. He currently holds the position of Tenured Associate Professor at the Energy Research Centre, COMSATS Lahore, where he has been contributing significantly since July 2020.

Profile :

Scopus

Google scholar

Orcid

Teaching Experience

  • Tenured Associate Professor (Energy Research Centre, COMSATS Lahore) since July 2020.
  • Assistant Professor (Energy Research Centre, COMSATS Lahore) since July 2017.
  • Assistant Professor (Department of Mechanical Engineering, COMSATS Sahiwal) from June 2013 to June 2017.
  • Assistant Professor (HITEC University) from Feb 2011 to March 2013.

Academic Contributions

Dr. Ahmed has been actively involved in academia, serving as Convener and Team In charge of OBE at CUI Sahiwal. He is a member of several prestigious committees, including the PEC EPE Curriculum and Experts Committee for Petroleum and Gas Engineering, and the Board of studies for Engineering programs at Khawaja Fareed University of Engineering & Information Technology, Rahim Yar Khan, and Energy Engineering at UET Taxila.

Education

  • PhD in Thermal Engineering (2013) from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi.
    • PhD Title: Experimental Studies and Modeling the Damping Behavior of Shape Memory Alloys.
  • Master of Petroleum Engineering (Computational Fluid Mechanics, 2006) from Mehran University of Engineering and Technology, Jamshoro.
    • Specialization: Computational Fluid Mechanics.
  • MSc Computer Science (Optimization and Computational Mechanics, 2004) from NKFACT Lahore.
  • Bachelor of Science in Petroleum Engineering (2002) from University of Engineering and Technology, Lahore.

Professional Affiliations

Dr. Ahmed is a Professional Engineer (NIC No: 35202-2484931-1) and actively contributes to the academic community through his research and teaching in various fields of engineering.

Courses Taught/Interested

Dr. Ahmed’s academic interests span a wide range of engineering subjects, including Engineering Project Management, Power Generation, Energy Modeling and Efficiency, Thermal System Design, Heat Transfer, Optimization Modeling, and more.

Approved/Completed Projects

Dr. Ahmed has successfully led and completed several funded research projects, including those funded by HEC and PSF, focusing on energy storage, CFD analysis, combustion optimization, and optoelectronic devices.

 

Publications Top Notes 📄

Investigation of thermal and mechanical properties of Cu-Al alloys with silver addition prepared by powder metallurgy

Citation -48

Workplace incivility: a cynicism booster leading to turnover intentions

Citation -40

Synthesis and investigate the properties of Cu–Al–Ni alloys with Ag addition using powder metallurgy technique