Tomas Mimra | Biomedical Engineering | Research Excellence Award

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Mr. Tomas Mimra | Biomedical Engineering | Research Excellence Award

VSB – Technical University of Ostrava | Czech Republic

Tomáš Mimra is a biomedical engineer and Ph.D. researcher specializing in technical cybernetics and biomedical engineering, with a strong focus on audiology-oriented medical technologies. He earned his Bachelor’s degree in Biomedical Technology and a Master’s degree in Biomedical Engineering from VŠB – Technical University of Ostrava, where he is currently pursuing a Ph.D. in Technical Cybernetics. Professionally, he serves as a biomedical and clinical engineer at Ostrava University Hospital, combining clinical practice with applied research and academic supervision. His research interests span ENT phoniatrics, cochlear implantation, hearing aids, auditory evoked potentials, biomedical sensors, EEG and fNIRS-based diagnostics, and intelligent signal analysis. He has contributed to international peer-reviewed journals and IEEE-indexed conferences and is actively involved in national biomedical engineering projects.  In addition to research, he has teaching experience across multiple biomedical engineering courses and has supervised several defended bachelor’s theses. His work demonstrates a strong commitment to translational biomedical research, clinical innovation, and the development of advanced diagnostic and training technologies in modern healthcare systems.


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Featured Publications


Functional Near-Infrared Spectroscopy (fNIRS) in Objective Audiometry: A Scoping Review and Clinical Perspectives
Tomáš Mimra, Martin Augustynek, Marek Penhaker, Lukáš Klein,
Audiology Research, 2025.

Pınar Celen | Energy and Sustainability | Excellence in Research Award

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Assist. Prof. Dr. Pınar Celen | Energy and Sustainability | Excellence in Research Award

Gumushane University | Turkey

Dr. Pınar Celen is an Assistant Professor at Gümüşhane University whose academic work centers on energy systems, solar energy technologies, and carbon footprint assessment, with a strong emphasis on sustainable and efficient thermal systems. She earned her PhD (2019) and MSc (2013) in Mechanical Engineering from Yıldız Teknik University, following a BSc in Mechanical Engineering from Niğde University (2009). From 2011 to 2019, she served as a Research Assistant at Yıldız Teknik University, where she gained extensive experience in experimental and computational analysis of heat transfer and thermodynamic systems. Since 2019, she has continued her academic career at Gümüşhane University, contributing to teaching, research, and applied energy studies. Her research interests include energy system modeling, solar thermal applications, boiler and power plant performance analysis, drying technologies, and environmental impact evaluation through carbon footprint metrics. Her scholarly output is indexed in major academic databases and is reflected through measurable bibliometric indicators, including an h-index (not disclosed), a portfolio of peer-reviewed documents (count not disclosed), and accumulated citations (count not disclosed). Dr. Celen’s work supports both academic advancement and practical energy optimization, contributing to the transition toward cleaner and more efficient energy systems, and positioning her as a committed researcher in sustainable energy engineering.

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Featured Publications


A Review of Flow Boiling in Mini and Microchannel for Enhanced Geometries
A. Çebi, A. Celen, A.H. Donmez, Y. Karakoyun, P. Celen, M. Salih, Journal of Thermal Engineering, 4(3), 2037–2074, 2018. (Citations: 42)


An Experimental Investigation of Single Lignite Particle Dried in Superheated Steam and Hot Air
P. Celen, H.H. Erdem, International Journal of Coal Preparation and Utilization, 41(12), 845–854, 2021. (Citations: 5)


A Case Study for Calculation of Boiler Efficiency by Using Indirect Method
P. Celen, H. Erdem, 3rd Conference on Advances in Mechanical Engineering (ICAME 2017), Istanbul, 2017. (Citations: 3)


Farklı Eğim Açılarında Güneş Kollektörlerinin Enerji ve Ekserji Analizi: Erzincan İli Örneği
M.Y. Kaba, A.K. Seyhan, P. Celen, A. Celen, Konya Journal of Engineering Sciences, 10(3), 634–648, 2022. (Citations: 2)


Enerji Dönüşüm Santrallarında Performansın Belirlenmesi ve Değerlendirilmesi Yöntemleri
P. Celen, MSc Thesis, Yıldız Teknik University, Institute of Science and Technology, 2013. (Citations: 2)

Kamal Reddad | Advanced Materials Engineering | Research Excellence Award

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Mr. Kamal Reddad | Advanced Materials Engineering | Research Excellence Award

Ibn Tofail University Kenitra | Morocco

Kamal Reddad is a doctoral researcher in computational materials science specializing in hydrogen storage materials for sustainable energy applications. He is currently pursuing a PhD at the National School of Applied Sciences (ENSA), Ibn Tofail University, with a strong academic background in physics, holding a master’s degree in matter and radiation and a bachelor’s degree in physics with a focus on energetics. His research centers on magnesium hydride (MgH₂), where he investigates hydrogen desorption mechanisms using density functional theory (DFT), predictive temperature programmed desorption (TPD) modeling, and kinetic Monte Carlo (KMC) simulations. His work emphasizes the role of transition-metal doping and vacancy defects in enhancing hydrogen release kinetics, contributing to multiscale frameworks that bridge atomistic insights with macroscopic behavior. He has authored several peer-reviewed journal articles in high-impact Q1 and Q2 journals and actively contributes to the scientific community as a peer reviewer.  In recognition of academic excellence, he received the UM5 Excellence Prize during his master’s studies. Overall, his research aims to advance first-principles-driven materials design for next-generation hydrogen storage technologies and clean energy systems.

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Featured Publications


Enhancing Hydrogen Desorption in MgH2: A DFT Study on the Effects of Copper and Zinc Doping
K. Reddad, H. Labrim, D. Zejli, R. El Bouayadi.
International Journal of Hydrogen Energy, 2024, 87, 1474–1479. (Citations: 26)


Predictive Modeling of Temperature Programmed Desorption (TPD) in Magnesium Hydride MgH2
K. Reddad, H. Labrim, R. El Bouayadi.
Fuel, 2026, 403, 136152. (Citations: 5)


Vacancy Defects and Mo Doping Synergy in MgH2: A DFT Study on Hydrogen Desorption and Electronic Enhancement
K. Reddad, H. Labrim, R. El Bouayadi.
International Journal of Hydrogen Energy, 2025, 157, 150454. (Citations: 5)


Kinetic Monte Carlo Simulations of Hydrogen Desorption: The Influence of Rhodium in MgH2
K. Reddad, H. Labrim, R. El Bouayadi.
Bulletin of Materials Science, 2026, 49(1), 7. (Accepted)

Mustafa Pehlivan | Gaziantep University | Excellence in Research Award

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Mr. Mustafa Pehlivan | Gaziantep University | Excellence in Research Award

Gaziantep University | Turkey

Mustafa Pehlivan is an Associate Professor of Botany with an academic background spanning undergraduate to doctoral training in Biology, completed at Çukurova University and Gaziantep University, with doctoral research focused on floristic composition and hemeroby analysis and master’s work on regional herbaceous flora. His academic experience includes long-term service as Doctor Faculty Member and Associate Professor at Gaziantep University, contributing to both biology and medicinal–aromatic plants programs. His research integrates botany, ethnobotany, plant ecology, phytochemistry, and experimental biology, with a strong emphasis on Lamiaceae species, bioactive plant extracts, green-synthesized nanoparticles, and their anticancer, antioxidant, apoptotic, and anti-inflammatory effects on cancer cell lines. He has supervised numerous completed and ongoing master’s and doctoral theses and has served as investigator or principal investigator in many nationally funded research projects, including TÜBİTAK and university-supported grants. His scholarly output is indexed in international databases, with documented publications, citations, and an established h-index reflecting sustained scientific impact. He has contributed to biodiversity inventories, traditional knowledge documentation, environmental contamination studies, and applied biomedical plant research. Overall, his work bridges classical botany with modern molecular and cellular approaches, supporting both biodiversity conservation and translational biomedical science.


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Featured Publications



In Vitro Evaluation of Anticancer Activity and Phenolic Compounds of Hypericum olympicum in Human Lung Cancer Cells
P. Yumrutaş, M. Korkmaz, M. Pehlivan, D. Taşdemir, Ö. Yumrutaş.
Brazilian Archives of Biology and Technology, 2025.


Roles on Antiproliferation, Apoptosis, Necrosis and Proinflammation of Micromeria fruticosa Essential Oil on Lung Cancer Cells
P. Yumrutaş, M. Korkmaz, M. Pehlivan, D. Taşdemir, Ö. Yumrutaş.
International Journal of Environmental Health Research, 2025.


Possible Induction of Apoptotic and Necrotic Death Pathways in Lung Cancer Cells by Clinopodium vulgare L.
Ö. Yumrutaş, M. Pehlivan, P. Yumrutaş, D. Kahraman.
Boletín Latinoamericano y del Caribe de Plantas Medicinales y Aromáticas, 2024.


Determination of Some Selected Heavy Metals in Wheat and Pepper Samples Collected from Gaziantep (Türkiye)
K. Mencik, M. Doğan, M. Pehlivan.
Comptes Rendus de l’Académie Bulgare des Sciences, 2023.


Sideritis Species in Challenging Against Cancer: Cytotoxic, Antiproliferative and Apoptotic Roles
Ö. Yumrutaş, M. Pehlivan, P. Yumrutaş.
Eurasian Journal of Biological and Chemical Sciences, 2023.

Dingqin Hu | Chemistry and Materials Science | Research Excellence Award

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Dr. Dingqin Hu | Chemistry and Materials Science | Research Excellence Award

 City University of Hong Kong | China

Dingqin Hu is an early-career materials and energy researcher specializing in organic photovoltaics and sustainable optoelectronic materials, with research outputs. He received his PhD in Energy Power Engineering from Chongqing University after completing MSc and BSc degrees in Materials Science and Engineering at Sichuan University. His professional experience spans assistant research fellow service at the Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, and current postdoctoral research at City University of Hong Kong, where his work focuses on scalable fabrication, morphology control, and efficiency–stability trade-offs in organic solar cells. His research interests include non-fullerene acceptors, polymer and small-molecule photovoltaics, ink-state aggregation control, and large-area device manufacturing. He has authored multiple highly cited papers in top journals such as Advanced Materials, Energy & Environmental Science, Joule, and Advanced Science, alongside several national and international patents. His achievements have been recognized through young researcher exchange awards, excellent employee and CPC honors, and first-prize academic paper awards at regional science and technology conferences. Overall, his work contributes significantly to advancing efficient, stable, and industrially viable organic photovoltaic technologies.

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Featured Publications

All-Small-Molecule Organic Solar Cells with an Ordered Liquid Crystalline Donor
H. Chen, D. Hu, Q. Yang, J. Gao, J. Fu, K. Yang, H. He, S. Chen, Z. Kan, et al.
Joule, 2019.

15% Efficiency All-Small-Molecule Organic Solar Cells Enabled by a Fullerene Additive
D. Hu, Q. Yang, H. Chen, F. Wobben, V. M. Le Corre, R. Singh, T. Liu, et al.
Energy & Environmental Science, 2020.

Additive-Induced Miscibility Regulation and Hierarchical Morphology Enable 17.5% Binary Organic Solar Cells
J. Lv, H. Tang, J. Huang, C. Yan, K. Liu, Q. Yang, D. Hu, et al.
Energy & Environmental Science, 2021.

Delicate Morphology Control Triggers 14.7% Efficiency All-Small-Molecule Organic Solar Cells
H. Tang, H. Chen, C. Yan, J. Huang, P. W. K. Fong, J. Lv, D. Hu, et al.
Advanced Energy Materials, 2020.

15% Efficiency All-Small-Molecule Organic Solar Cells Achieved by a Locally Asymmetric F, Cl Disubstitution Strategy
D. Hu, Q. Yang, Y. Zheng, H. Tang, S. Chung, R. Singh, J. Lv, et al.
Advanced Science, 2021.

Sridevi S | Engineering and Technology | Best Researcher Award

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Dr. Sridevi S | Engineering and Technology | Best Researcher Award

Presidency University | India

Dr. Sridevi S is an accomplished Assistant Professor in Computer Science and Engineering with over seventeen years of academic experience and a Ph.D. completed. She is currently associated with the School of CSE at Presidency University, Bangalore, where she actively contributes to teaching, curriculum design, accreditation activities, and student mentoring. Her academic background includes a Ph.D. in Computer Science and Engineering, an M.Tech in Computer Science and Engineering with distinction, and a Bachelor’s degree in Information Science and Engineering, also with distinction. Dr. Sridevi has extensive experience delivering core and advanced courses such as Data Structures, Computer Networks, Data Mining, Web Technologies, Full Stack Development, and multiple programming languages. Her research interests span 5G and beyond wireless networks, machine learning applications, data analytics, wireless sensor networks, deep learning, and intelligent network optimization. She has published several articles in reputed Scopus-indexed journals and conferences, and her reflects an h-index of 1 with 8 published documents and approximately 2 citations. In addition to her research contributions, she has authored technical books and book chapters with leading publishers. She has been recognized as Best Faculty and has received institutional appreciation for her leadership as Cultural Coordinator. Dr. Sridevi’s career reflects a strong commitment to academic excellence, impactful research, industry-aligned teaching, and holistic student development.

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Featured Publications

DDM: Data-Driven Marketing Using AI, ML, and Big Data
N. N. Ahamed, S. Sridevi, AI-Powered Business Intelligence for Modern Organizations, IGI Global, pp. 79–102, 2025

Real-Time Interference Management in Next-Generation Wireless Systems
S. A. Abidi, D. P. P. D. Beemkumar Nagappan, S. Sridevi, Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 2025 (Scopus-Q2)

Heart Arrhythmia Classification Using Machine Learning Algorithms
V. Hiremani, R. M. Devadas, A. Pasha, S. Sridevi, 2nd International Conference on Ambient Intelligence in Health Care, 2023 (Scopus)

Child Safety & Tracking Management System Using GPS, Geo-Fencing and Android Application
S. Sridevi, S. Thakur, PiCES – Perspectives in Communication, Embedded Systems and Signal Processing, 2018

Indian Classical Percussion Instrument Tabla Taal Classification Using Fast Converging CNN
A. R. Sridevi S., Swati Sharma, Clara Kanmani, Nipun Sharma, Syed Abrar Ahmed, IEEE 4th World Conference on Applied Intelligence and Computing (AIC 2025), 2025 (Scopus)

Mohammed Maiza | Computer Science and Artificial Intelligence | Research Excellence Award

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Dr. Mohammed Maiza | Computer Science and Artificial Intelligence | Research Excellence Award

Université Oran 1 | Algeria

Dr. Mohammed Maiza is an Associate Professor of Computer Science specializing in Pattern Recognition and Artificial Intelligence, with a strong academic and research profile in intelligent systems and data-driven computing. He holds an engineering degree in Computer Science with a specialization in Artificial Intelligence, followed by a Magister and Ph.D. in Computer Science focused on Pattern Recognition and AI. His academic career includes long-standing experience as a Lecturer-Researcher at leading Algerian universities, where he has contributed extensively to teaching, research supervision, and academic leadership. His research interests span pattern recognition, machine learning, artificial intelligence, data analysis, and intelligent decision-support systems. Dr. Maiza has actively participated in international conferences, workshops, and research visits in Algeria and France, strengthening collaborative research networks. He has authored multiple peer-reviewed scientific publications indexed in international databases, with measurable scholarly impact reflected through his h-index, citation count, and documented research outputs in major indexing platforms. In addition to research, he has held several academic leadership and coordination roles, contributing to curriculum development and institutional governance. His academic contributions demonstrate a sustained commitment to advancing AI research, mentoring graduate students, and fostering innovation in computer science, positioning him as a respected researcher and educator in the field.

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Featured Publications

C. Cherif, M.K. Abdi, A. Ahmad, M. Maiza
International Journal of Computing and Digital Systems, 14(1), 10505–10513, 2023 · Citations: 5

M. Maiza, S. Chouraqui, C. Cherif, A. Taleb-Ahmed
Przegląd Elektrotechniczny, 2025(4), 2025 · Citations: 4

A. Ahmad, M. Bouneffa, H. Basson, C. Cherif, M.K. Abdi, M. Maiza
Enterprise Interoperability X: Enterprise Interoperability Through Connected Enterprises, 2024 · Citations: 1

C. Cherif, M. Maiza, S. Chouraqui, A. Taleb
13th European Workshop on Visual Information Processing (EUVIP), pp. 1–6, 2025

C. Cherif, M. Maiza, S. Chouraqui, A. Taleb-Ahmed
Informatica, 49(3), 2025

Chahira Cherif | Computer Science and Artificial Intelligence | Research Excellence Award

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Dr. Chahira Cherif | Computer Science and Artificial Intelligence | Research Excellence Award

Université Oran 1 | Algeria

Dr. Chahira Cherif is an Associate Professor of Computer Science with a strong academic and research profile in higher education and software systems research. She holds a State Engineering degree in Computer Science, a Magister (Master’s) degree, and a Ph.D. in Computer Science, reflecting a solid and progressive academic foundation in computing and information technologies. Her professional experience includes service as a State Computer Science Engineer before transitioning into academia, where she has been actively engaged in teaching at both Bachelor’s and Master’s levels under the LMD system, along with supervising Master’s theses. Her research interests focus on intelligent software systems, software evolution, system security, and advanced computing methodologies, with active involvement in nationally recognized research initiatives, including the PREFU project on intelligent evolution and security of software systems. She has participated in international conferences, workshops, and scientific gatherings across Algeria and France, contributing to scholarly exchange and collaboration. Her scientific output is reflected through peer-reviewed publications indexed in international databases, with an established h-index-1 supported by multiple research documents-5 and citation-4 records. Through her combined roles as educator, researcher, and project contributor, she continues to make meaningful contributions to computer science research and academic development, strengthening innovation, knowledge dissemination, and the advancement of intelligent and secure software systems.

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Featured Publications


Predictive approach to the degree of business process change

C. Cherif, M.K. Abdi, A. Ahmad
International Journal of Computing and Digital Systems, 14(1), 10505–10513, 2023 · Citations: 5


Change impact study by Bayesian networks

C. Cherif, M.K. Abdi
Modeling Approaches and Algorithms for Advanced Computer Applications, pp. 429–438, 2013 · Citations: 5


Cancer classification through the selection of genes extracted from microarray data

M. Maiza, S. Chouraqui, C. Cherif, A. Taleb-Ahmed
Przegląd Elektrotechniczny, 101(4), 2025 · Citations: 4


Étude de l’impact de changement dans les systèmes à objet par les réseaux bayésiens

C. Chahira, A. Mustapha Kamel
Communication Science et Technologie, 13(1), pp. 90–108, 2015 · Citations: 4


Towards a probabilistic approach for better change management in BPM systems

C. Cherif
IEEE 23rd International Enterprise Distributed Object Computing Conference, 2019 · Citations: 3

Mona Ali | Computer Science and Artificial Intelligence | Research Excellence Award

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Prof. Mona Ali | Computer Science and Artificial Intelligence | Research Excellence Award

King Faisal University | Saudi Arabia

Dr. Mona Abdelbaset Sadek Ali is an Associate Professor of Computer Science specializing in artificial intelligence, machine learning, and image processing. She earned her PhD in Computer Science (Wireless Computer Communications) from Cardiff University, UK, after completing an MSc in Information Technology (Image Processing) and a BSc in Information Technology with honors from Cairo University. With extensive academic experience spanning the UK, Saudi Arabia, and Egypt, her research integrates deep learning, optimization techniques, computer vision, IoT, mobile security, and intelligent healthcare systems. Dr. Ali has authored over 30 peer-reviewed research articles published in high-impact Web of Science-indexed journals and conferences, achieving an h-index of approximately 17, with more than 871 citations and 29 research documents. Her work frequently appears in Q1 and Q2 journals such as Mathematics, Electronics, Sustainability, PLOS ONE, and Applied Sciences. She has led and co-led numerous funded research projects supported by national and institutional bodies and has supervised multiple postgraduate MSc and PhD researchers. Her academic excellence has been recognized through competitive research funding and research poster awards. Overall, Dr. Ali’s career reflects sustained contributions to applied artificial intelligence and data-driven solutions with strong interdisciplinary and societal impact.

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Featured Publications


Tomato leaves diseases detection approach based on support vector machines

11th International Computer Engineering Conference (ICENCO), 246–250, 2015 · Citations: 222


Identifying two of tomatoes leaf viruses using support vector machine

Information Systems Design and Intelligent Applications, 2015 · Citations: 145


Detection of breast abnormalities of thermograms based on a new segmentation method

Federated Conference on Computer Science and Information Systems, 2015 · Citations: 78


Thermogram breast cancer prediction approach based on neutrosophic sets and fuzzy c-means algorithm

IEEE Engineering in Medicine and Biology Conference, 2015 · Citations: 76


A hybrid segmentation approach based on neutrosophic sets and modified watershed: A case of abdominal CT liver parenchyma

11th International Computer Engineering Conference (ICENCO), 2015 · Citations: 70