Ghassem Baridi | Nano Sensors | Research Excellence Award

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Dr. Ghassem Baridi | Nano Sensors | Research Excellence Award

UNIMORE | Italy

Dr. Ghassem Baridi is a Biomedical Engineer specializing in nanotechnology and advanced biosensing systems, currently pursuing his PhD at the University of Modena and Reggio Emilia (UNIMORE), Italy. His research focuses on graphene-based biosensors, particularly GFET and SPR technologies, for physiological tissue analysis and biomarker detection. He has demonstrated strong expertise in integrating experimental techniques with computational modeling using COMSOL to optimize sensor performance and sensitivity. Baridi has authored and co-authored multiple peer-reviewed publications in reputable journals such as Physica E, Superlattices and Microstructures, Micromachines, and Sensors, with several additional works under review. His international collaborations, including research engagement in Spain, highlight his global academic involvement. With over a decade of experience as a physics educator, he has also contributed significantly to science education, fostering analytical skills and scientific awareness in society.

Citation Metrics (Scopus)
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Featured Publications

Graphene plasmonic-assisted enhancement of linear and nonlinear optical properties of conic-shaped InAs/GaAs quantum dots with wetting layer (2020).
Sabaeian, Mohammad, and Ghassem Baridi · Superlattices and Microstructures · Elsevier
Coupling the graphene plasmonic with terahertz emission of truncated conic shaped InAs/GaAs quantum dots: A passive approach to enhance the intersubband optical properties (2021).
Sabaeian, Mohammad, and Ghassem Baridi · Physica E: Low Dimensional Systems and Nanostructures · Elsevier
Hybrid quantum dot-graphene layers with improved optical properties in the terahertz spectrum region (2023).
Baridi, Ghassem, et al. · Physica E: Low Dimensional Systems and Nanostructures · Elsevier
Graphene-based chemical field effect transistors: impact of electric double layer model and quantum capacitance on detection capabilities (2026).
Baridi, Ghassem, et al. · Micromachines · MDPI

Welinton Baxto | Education Using Sensors | Research Excellence Award

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Assist. Prof. Dr. Welinton Baxto | Education Using Sensors | Research Excellence Award

Faculty of Education (FE), University of Brasília (UnB) | Brazil

Dr. Welinton Baxto da Silva is a distinguished Brazilian scholar and senior educational policy expert with a Ph.D. and Master’s degree in Education from the Universidade de Brasília. He has been honored with multiple honorary doctorates and holds the prestigious “Immortal” Academic Merit Collar from ABRASCI. Currently serving as a Senior Educational Technician at Brazil’s Ministry of Education and as a researcher at the University of Brasília, his work focuses on higher education supervision, public policy planning, and distance education. Dr. Silva has authored numerous scientific publications, book chapters, and technical reports addressing educational governance and innovation. He has held key leadership roles, including membership in the National Education Forum and the board of the Brazilian Association for Distance Education. His contributions significantly influence educational policy development, institutional quality assurance, and the advancement of accessible education systems nationally and internationally.

Citation Metrics (Google Scholar)
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Featured Publications

Distance education and the Open University of Brazil: History, structure, and challenges (2019).
W Baxto da Silva, R Amaro, J Mattar · International Review of Research in Open and Distributed Learning · Citations: 33

The three pillars of distance education (2016).
CMT Alves · Paco Editorial · Citations: 8

Use of ICT in distance higher education (2019).
W Baxto, VLQ Carneiro · Education · Citations: 7

Peer assessment and active methodologies in teacher training (2017).
R Amaro, WB da Silva · ABED International Congress on Distance Education · Citations: 6

Distance higher education from the perspective of convergence culture (2017).
WB Silva · Doctoral Thesis, University of Brasília · Citations: 4

Awn Alqahtani | Sensors Phenomena | Excellence in Research Award

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Dr. Awn Alqahtani | Sensors Phenomena | Excellence in Research Award

Najran University | Saudi Arabia

Dr. Awn Alqahtani is an Assistant Professor of Mathematics at Najran University, Saudi Arabia, specializing in algebra, quantum groups, and invariant theory. He earned his Ph.D. from Howard University, USA, where his research focused on advanced structures in noncommutative algebra. Dr. Alqahtani has contributed to mathematical research through peer-reviewed publications, including work in the European Journal of Pure and Applied Mathematics, and has actively participated in international conferences such as FPSAC and AMS meetings. In addition to his research, he plays a significant academic leadership role, serving as Head of the Basic Sciences Department and contributing to curriculum development, quality assurance, and student engagement initiatives. He has supervised undergraduate research projects in group theory and number theory, fostering analytical skills among students. His work supports the advancement of mathematical sciences and higher education development in alignment with national and global academic standards.

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Featured Publications

Modifications to Mixed θ (ν1, ν2)-Open Sets in Generalized Topological Spaces (2024).
A. Alqahtani · European Journal of Pure and Applied Mathematics · Citations: 1

Hopf Actions on Poisson Algebras (2025).
A. Alqahtani, J. Gaddis, X. Wang · arXiv Preprint

Quantum Groups and Their Invariant Theory (2023).
A.D.A. Alqahtani · Howard University (PhD Thesis)

Emeritus Iqbal | Vision Sensing | Excellence in Research Award

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Prof. Emeritus Iqbal | Vision Sensing | Excellence in Research Award

Monarch Business School Switzerland | Switzerland 

Prof. Emeritus Iqbal is a distinguished scholar in international economics, global trade, and development studies, with extensive academic and research contributions spanning several decades. His expertise covers foreign direct investment, BRICS economies, financial inclusion, and global economic governance. He has authored over 200 research publications, including SSCI-indexed journal articles, book chapters, and edited volumes, with a strong global footprint across Asia, Africa, and Europe. As of 2026, he has achieved over 1,400 citations, an h-index of 16, and significant research engagement on platforms such as ResearchGate. Dr. Iqbal has supervised around 35 Ph.D. theses and over 200 postgraduate dissertations internationally, reflecting his leadership in academic mentorship. His collaborative research with global institutions and contributions to policy-relevant discourse, including economic resilience and sustainable development, demonstrate substantial societal impact and influence in shaping international economic thought.

Citation Metrics (Scopus)

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Citations
436

h-index
9

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94

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Featured Publications

Role of banks in financial inclusion in India (2017).
BA Iqbal, S Sami · Contaduría y Administración · Citations: 419

BRICS as a driver of global economic growth and development (2022).
BA Iqbal · Global Journal of Emerging Market Economies · Citations: 86

The future of global trade in the presence of the Sino-US trade war (2019).
BA Iqbal, N Rahman, J Elimimian · Economic and Political Studies · Citations: 71

Agricultural trade, foreign direct investment and inclusive growth in developing countries: evidence from West Africa (2022).
R Osabohien, BA Iqbal, ES Osabuohien, MK Khan, DP Nguyen · Transnational Corporations Review · Citations: 57

New globalization and multipolarity (2022).
C Vlados, D Chatzinikolaou, BA Iqbal · Journal of Economic Integration · Citations: 54

Xinhua Xue | Sensors Phenomena | Research Excellence Award

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Prof. Xinhua Xue | Sensors Phenomena | Research Excellence Award

Sichuan University | China

Professor Xinhua Xue is a Full Professor at Sichuan University, China, specializing in geotechnical engineering, artificial intelligence, and machine learning applications in civil and hydraulic engineering. He earned his PhD from Zhejiang University in 2008 and has since established a distinguished academic career, including a visiting scholarship at The Pennsylvania State University. Prof. Xue has authored over 170 peer-reviewed journal articles and five scholarly books, with significant contributions to predictive modeling, soil mechanics, and infrastructure stability. Recognized among the “Top 2% World Ranking Scientists” by Stanford University/Elsevier, his research integrates advanced computational techniques such as neural networks, ensemble learning, and soft computing. His extensive collaborations and high-impact publications have advanced engineering practices in areas such as landslide prediction, wave modeling, and foundation analysis, contributing to safer and more sustainable infrastructure development globally.

Citation Metrics (Scopus)

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Citations
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Featured Publications

Physics-informed data-driven model for the prediction of river water temperature (2026).
Engineering Applications of Artificial Intelligence · Journal Article ·

Hybrid ensemble learning for predicting peak deviatoric stress in soil-rock mixtures from triaxial test data (2025).
Engineering Applications of Artificial Intelligence · Journal Article ·

Bayesian framework for evaluating spatial distribution of soil liquefaction based on CPT data (2025).
Soil Dynamics and Earthquake Engineering · Journal Article ·

A novel deep learning-based convolutional neural network – long short-term memory model for predicting weekly significant wave heights (2025).
Ocean Engineering · Journal Article · 📊 Citations: 2

Coupled convolutional neural network with long short-term memory network for predicting lake water temperature (2025).
Journal of Hydrology · Journal Article · 📊 Citations: 4

Shuban Ali | Physical Sensors | Best Scholar Award

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Mr. Shuban Ali | Physical Sensors | Best Scholar Award

Shenzhen University | China

Mr. Shuban Ali is a Lecturer in Civil Engineering at Aror University of Art, Architecture, Design and Heritage, Sindh, Pakistan, with specialization in structural engineering and sustainable construction materials. He holds a Master of Engineering in Civil Engineering from Mehran University of Engineering and Technology, where his research focused on the “Effect of Silica Fume and Indus River Sand on the Properties of Autoclaved Aerated Concrete,” contributing to advancements in lightweight and sustainable construction materials. He earned his Bachelor of Engineering from Quaid‑e‑Awam University of Engineering, Science and Technology, graduating with distinction and ranking among the top students. Shuban Ali has authored peer-reviewed research publications and actively contributes to engineering education, laboratory development, and academic quality assurance. As an Assistant Director in the Quality Enhancement Cell and a registered engineer with Pakistan Engineering Council, he collaborates in academic and institutional development initiatives aimed at improving engineering education and promoting sustainable infrastructure solutions.

Citation Metrics (Google Scholar)

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Featured Publications

Effect of marble powder on fly ash based one part geopolymer mortar (2022).
F Mukhtiar, R Kumar, A Kumar, W Hussain, S Ali · Int Res J Mod Eng Technol Sci · Citations: 3

Effect of eggshell powder on the mechanical properties of engineered cementitious composites using different size polypropylene fibers (2022).
M Murtaza, R Kumar, A Kumar, S Ali, M Hassan · International Research Journal of Modernization in Engineering Technology · Citations: 1

Effect of bagasse ash and indus river sand on autoclaved aerated concrete (2022).
W Hussain, A Kumar, R Kumar, S Ali, F Mukhtiar · International Research Journal of Modernization in Engineering Technology · Citations: 1

Mechanical behavior monitoring of a large-scale prefabricated subway station during assembly using fiber optic sensors (2026).
C Hong, S Lin, S Sadiq, S Ali, M Zhu, P Guo, Z Duan · Sensors and Actuators A: Physical

Workability and flexural strength of binary blended concrete made with recycled aggregates and marble dust under two-point loading (2026).
S Ali, WA Brohi, BA Memon, M Ali, G Hussain · Discover Civil Engineering

Mutahar Ali | Sensor Signal Processing | Best Researcher Award

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Mr. Mutahar Ali | Sensor Signal Processing | Best Researcher Award

Shenzhen University | China

Mr. Mutahar Ali Amur is a Civil Engineer and academic currently serving as a Lecturer at Quaid-E-Awam University of Engineering, Science and Technology (QUEST), Nawabshah, Pakistan. He holds a Master of Engineering in Structural Engineering from Mehran University of Engineering and Technology (MUET), Jamshoro, where he graduated with a CGPA of 3.88/4, and a Bachelor of Engineering in Civil Engineering from QUEST, securing 3rd position in his graduating class. His academic and research expertise focuses on sustainable construction materials, geotechnical engineering, and structural engineering. Mutahar Ali Amur has contributed to several research publications addressing innovative materials such as jute fibre reinforced clay, wood waste ash in concrete, and recycled plastic reinforcement for soils. His research aims to develop cost-effective and environmentally sustainable solutions for construction and infrastructure. In addition to teaching subjects such as Fluid Mechanics, Surveying, and Strength of Materials, he actively participates in academic conferences and technical training programs, contributing to engineering education and sustainable civil engineering practices.

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Featured Publications

Structural Behaviour of Large Size Compressed Earth Blocks Stabilized with Jute Fibre
Journal of Engineering Research · Journal Article

Experimental Study of Physical, Fresh-State and Strength Parameters of Concrete Incorporating Wood Waste Ash as a Cementitious Material
Journal of Materials and Engineering Structures · Journal Article

Potential of Waste Plastic (PET) Bottle Strips as Reinforcement Material for Clayey Soil
Second International Conference on Sustainable Development in Civil Engineering, MUET, Pakistan · Conference Paper

Santi Maity | Internet of Things (IoT) | Distinguished Scientist Award

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Prof Santi Maity | Internet of Things (IoT) | Distinguished Scientist Award

Indian Institute of Engineering Science and Technology Shibpur | India

Prof. Santi P. Maity is a distinguished academic and researcher in the fields of wireless communications, signal processing, and image processing, currently serving as Professor (HAG) at the Indian Institute of Engineering Science and Technology (IIEST), Shibpur. With a Ph.D. in Computer Science and Technology, his research spans cognitive radio networks, IoT-based healthcare systems, machine learning applications, and secure image watermarking. He has an extensive scholarly output comprising over 130 peer-reviewed journal articles, 186 conference papers, and multiple book chapters, alongside patented innovations in digital image security. Prof. Maity has successfully led and contributed to several funded research projects supported by government agencies, focusing on next-generation communication systems and AI-driven diagnostic tools. He has supervised over 20 Ph.D. scholars and numerous postgraduate and undergraduate students, significantly contributing to academic capacity building. His international collaborations with institutions in France, Spain, Singapore, and beyond reflect his global research engagement. His work demonstrates strong societal impact, particularly in advancing affordable healthcare technologies, secure communications, and energy-efficient wireless systems.

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2,721

h-index
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Featured Publications

IoMT in Low-Cost Autofluorescence Imaging and Automated Detection at Edge for Cervical Cancer (2026).
IEEE Internet of Things Journal · Journal Article ·

CAE-DCNN Architectures for Image Watermarking and Detection on Edge-IoT Networks (2026).
SN Computer Science · Journal Article ·

Relay Performance in D2D Communications Overlaying Multi-Antenna Cellular Networks (2026).
IEEE Open Journal of the Communications Society · Journal Article ·

Spectrum Prediction: Boosting D2D Communications in CRNs Using POMDP (2025).
Physical Communication · Journal Article ·

Residual Energy Maximization in RIS Aided Cooperative Spectrum Sensing with PUEA: Relative Performance in PS and TS Mode (2025).
IEEE Access · Journal Article ·