Manammel Thankappan Ramesan | Optoelectronics | Best Researcher Award

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Dr. Manammel Thankappan Ramesan | Optoelectronics | Best Researcher Award

Professor | University of Calicut | India

Dr. Manammel Thankappan  Ramesan is a Professor in the Department of Chemistry at the University of Calicut, Kerala, India, specializing in polymer chemistry, nanocomposites, and advanced functional materials. He earned his Ph.D. in Polymer Chemistry from Mahatma Gandhi University, where his research focused on dichlorocarbene-modified styrene-butadiene rubber and its applications in rubber–rubber blends. Over his academic career, he has gained extensive professional experience through teaching, research, and international collaboration, including postdoctoral research at Chonbuk National University, South Korea. His research interests span polymer nanocomposites, conductive polymers, bio-based materials, and energy storage systems, contributing significantly to the development of sustainable material technologies. Dr. Ramesan has received multiple recognitions, including being listed among Stanford University’s World’s Top 2% Scientists in Polymer Chemistry and receiving several Outstanding Reviewer Awards from leading Elsevier journals. His research skills encompass polymer synthesis, material characterization, and nanocomposite fabrication, along with strong analytical and interdisciplinary expertise. As a reviewer for more than 250 international journals and an expert evaluator for global fellowship programs, he plays an influential role in advancing scientific standards. His scholarly contributions have been widely acknowledged, reflected in 5,118 citations from 208 documents and an h-index of 47, demonstrating his global research impact and leadership in the field of polymer science.

Profiles : ORCID | Scopus 

Featured Publications

1. Ramesan, M. T., & Co-authors. (n.d.). Manganese (III) oxide-infused poly(thiophene-co-pyrrole) nanocomposites for optical, dielectric, and photocatalytic applications.
Cited by : 1

2.Ramesan, M. T., & Co-authors. (n.d.). Tailoring poly(diphenylamine) with lithium silver oxide nanoparticles: Impact on structural, optical, and electrical properties for energy storage.
Cited By : 1

3.Ramesan, M. T., & Co-authors. (n.d.). Synthesis of nanocurcumin conjugated titanium dioxide bio-nanocomposites for enhanced optical, electrical, and antibacterial applications.
Cited By : 1

4.Ramesan, M. T., & Co-authors. (n.d.). Multifunctional chitosan/chloro-aspirin composites for energy storage and biomedical applications.

5.Ramesan, M. T., & Co-authors. (n.d.). Facile green fabrication of boehmite-infused PVA nanocomposites with superior mechanical, thermal, and electrical performance.

Hadi Gokcen | Engineering | Best Researcher Award

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Prof. Hadi Gokcen | Engineering | Best Researcher Award

Professor | Gazi University Industrial Engineering Department | Turkey

Prof. Hadi Gokcen is a highly accomplished scholar in Industrial Engineering with extensive expertise in optimization theory, multi-objective optimization, production planning and control, decision support systems, and supply chain management. He earned his PhD in Industrial Engineering from Gazi University, where he has served in progressive academic roles including Research Assistant, Lecturer, Associate Professor, and Professor. His professional experience also includes leadership positions such as Head of Department, Director of Graduate Studies, and University Executive Board Member, reflecting his deep commitment to academic administration and institutional advancement. His research interests lie in developing mathematical models and algorithms for optimization, enhancing efficiency in production systems, and applying decision-making techniques to logistics and service systems. Prof. Gokcen has been actively involved in various national and institutional research projects, contributing to the advancement of industrial and systems engineering education. His academic excellence has been recognized through numerous appointments to research commissions and educational leadership roles. He possesses strong research skills in linear and integer programming, mixed-integer optimization, and multi-objective decision analysis, supported by practical expertise in management information systems and engineering education. Prof. Gokcen’s impactful research is widely recognized, with 1,910 citations by 51 documents , and an h-index of 23, showcasing his strong academic influence and lasting contribution to the global research community.

Profiles : ORCID | Scopus | Google Scholar 

Featured Publications

1.Gök, B., Davun, Ş., & Gökçen, H. (2024, June 28). Digital transformation perception scale. In Handbook of Research on Digital Transformation Management and Tools (Chapter 7). IGI Global.

2.Uçucu, A., Gök, B., & Gökçen, H. (2024, March 27). Prediction of life quality index value rankings of countries after the COVID-19 pandemic by artificial neural networks. Politeknik Dergisi.

3. Şahiner Yılmaz, Ş., Özer, İ., & Gökçen, H. (2022, October 26). Twitter platformundan elde edilen Türkçe saldırgan dil derlemi. Mühendislik Bilimleri ve Araştırmaları Dergisi.

4. Bayraktar, C., & Gökçen, H. (2020, December 31). Yüksek raflı depolama sistemlerinin enerji optimizasyonunda anomali tespiti için sınıflama algoritmalarının karşılaştırılması. Uluslararası Yönetim Bilişim Sistemleri ve Bilgisayar Bilimleri Dergisi.

5. Foroughi, A., Gökçen, H., & Tiacci, L. (2016). The cost-oriented stochastic assembly line balancing problem: A chance constrained programming approach. International Journal of Industrial Engineering:

Mohammad Taghilou | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Mohammad Taghilou | Engineering | Best Researcher Award

Associate professor | University of Zanjan | Iran

Assoc. Prof. Dr. Mohammad Taghilou is an accomplished mechanical engineer specializing in energy conversion, thermal management of lithium-ion batteries, solid oxide fuel cells, and solid-liquid phase change processes. He completed his Ph.D. in Mechanical Engineering at the University of Tabriz, focusing on analytical-numerical investigation of melting and solidification processes using the lattice Boltzmann method. He also holds a Master’s degree from the University of Tehran and a Bachelor’s degree from the University of Tabriz, ranking first in his class. Professionally, he is an Associate Professor and head of the Department of Mechanical Engineering at the University of Zanjan, where he also leads the Multiphase Transfer Systems Research Laboratory. He has extensive teaching experience in undergraduate and graduate courses covering thermodynamics, heat transfer, fluid mechanics, computational fluid dynamics, and laboratory training. His research interests include lithium-ion battery thermal management, thermodynamic analysis of solid oxide fuel cells, droplet dynamics, fluid and heat flow in porous media, and the lattice Boltzmann method. He has been recognized as a distinguished researcher at his university and has received awards for outstanding reviewing contributions in reputed journals. His technical expertise includes MATLAB, Fluent, Gambit, SolidWorks, Fortran, and EES, as well as the design of laboratory equipment and data logging systems. His research contributions have been cited 392 Citations across 30 documents, with an h-index of 13.

Profiles: ORCID | Scopus | Google Scholar | ResearchGate | LinkedIn

Featured Publications

1.Sajedi, R., Osanloo, B., Talati, F., & Taghilou, M. (2016). Splitter plate application on the circular and square pin fin heat sinks.

2.Taghilou, M., & Rahimian, M. H. (2014). Investigation of two-phase flow in porous media using lattice Boltzmann method.

3.Talati, F., & Taghilou, M. (2015). Lattice Boltzmann application on the PCM solidification within a rectangular finned container.

4.Taheri, A. A., Abdali, A., Taghilou, M., Alhelou, H. H., & Mazlumi, K. (2021). Investigation of mineral oil-based nanofluids effect on oil temperature reduction and loading capacity increment of distribution transformers.

5.Taghilou, M., & Khavasi, E. (2020). Thermal behavior of a PCM filled heat sink: The contrast between ambient heat convection and heat thermal storage.

Mohammed M Alenazi | Computer Science and Artificial Intelligence | Best Researcher Award

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Dr. Mohammed M Alenazi | Computer Science and Artificial Intelligence | Best Researcher Award

Assistance Professor | University of Tabuk | Saudi Arabia

Dr. Mohammed M. Alenazi is an accomplished researcher and academic specializing in Artificial Intelligence, Machine Learning, and Energy Optimization in IoT Networks. He holds a PhD in Electrical and Electronics Engineering from the University of Leeds, a Master of Engineering in Computer Engineering from the Florida Institute of Technology, a Bachelor of Engineering in Computer Engineering from Prince Fahd Bin Sultan University, and an Associate Degree in Electrical/Electronics Equipment Installation and Repair from Tabuk College of Technology. He began his professional career as a Senior Engineer at Saudi Telecom Company, gaining extensive experience in optical fiber networks and large-scale communication systems, and later transitioned into academia as a Teaching Assistant at Northern Border University and the University of Tabuk, where he currently serves as an Assistant Professor. His research interests focus on energy-efficient deployment of ML-based services in IoT networks, neural network embedding in passive optical networks, and AI-driven intelligent systems, including a patented vehicle safety communication system. Dr. Alenazi has published in reputed journals and conferences including IEEE Xplore and ResearchGate and actively participates in professional organizations such as IEEE, AAAI, AISB, the Saudi Council of Engineers, and the Project Management Institute, holding certifications including CCNA, CompTIA Security+, and PMP. He has received awards and honors for his contributions to AI and networking research, and his skills include machine learning, energy optimization, teaching, and project management. His research has received 28 citations across 8 documents, with an h-index of 3, reflecting his growing academic impact and influence in the field.

Profiles : ORCID | Scopus | Google Scholar | ResearchGate

Featured Publications

1. Alenazi, M. M., Yosuf, B. A., El-Gorashi, T., & Elmirghani, J. M. H. (2020). Energy efficient neural network embedding in IoT over passive optical networks.

2.Yosuf, B. A., Mohamed, S. H., Alenazi, M. M., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2021). Energy-efficient AI over a virtualized cloud fog network.

3.Alenazi, M. M., Yosuf, B. A., Mohamed, S. H., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2021). Energy-efficient distributed machine learning in cloud fog networks.

4.Banga, A. S., Alenazi, M. M., Innab, N., Alohali, M., Alhomayani, F. M., Algarni, M. H., et al. (2024). Remote cardiac system monitoring using 6G-IoT communication and deep learning.

5.Alenazi, M. M., Yosuf, B. A., Mohamed, S. H., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2022). Energy efficient placement of ML-based services in IoT networks.

Amanpreet Kaur | Blockchain and Deep Learning | Best Researcher Award

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Dr. Amanpreet Kaur | Blockchain and Deep Learning | Best Researcher Award

Professor | Chitkara University | India

Dr. Amanpreet Kaur is an accomplished researcher in computer science with expertise in artificial intelligence, blockchain, IoT, big data analytics, and machine learning. She earned her PhD in computer science from Jaipur National University after completing advanced degrees including M.Tech, M.Sc. in computer science, B.C.A., and a diploma in computer engineering. Her professional journey includes teaching, mentoring, and supervising M.Tech and Ph.D. scholars in cutting-edge research projects such as deep learning for healthcare, blockchain-based security frameworks, and network optimization. She has authored 64 publications in reputed IEEE and Scopus indexed journals and conferences, showcasing her consistent contributions to the academic community. Her research interests lie in deep learning, data security, smart networks, and sustainable computing technologies. She has been an active member of several professional organizations including IRED, IAENG, SDIWC, and CSTA, and holds multiple certifications such as MCP, Java, Python, and Software Testing, which strengthen her applied research profile. Her work reflects a strong blend of academic scholarship, technical expertise, and leadership, enabling her to play a key role in advancing research and guiding future professionals. She is recognized for her dedication to fostering innovation and contributing to the growth of the computer science domain. Her research impact is demonstrated by 722 citations across 57 documents with an h-index of 9.

Profiles : ORCID | Scopus | Google Scholar

Featured Publications

1.Amanpreet Kaur, S. S., Singh, G., Kukreja, V., Yoon, B., & Sharma, S. (n.d.). Adaptation of IoT with blockchain in food supply chain management: An analysis-based review in development, benefits and potential applications. Sensors, 22(21).

2.Kukreja, V. S., Sharma, R., Kaur, A., & Sachdeva, R. K. (n.d.). Deep neural network for multi-classification of parsley leaf spot disease detection. In Proceedings of the 2nd International Conference on Advance Computing and Innovative Technologies.

3.Kaur, A., Dhaka, V. S., & Singh, G. (n.d.). ACO agent-based routing in AOMDV environment. MATEC Web of Conferences, 57, 02005.

4.Bathla, N., Kaur, A., & Singh, G. (n.d.). Relative inspection of TCP variants Reno, New Reno, SACK, Vegas i8285n AODV. International Journal of Research in Engineering and Applied Sciences, 4.

5.Bathla, N., Kaur, A., & Singh, G. (n.d.). Congestion control techniques in TCP: A critique. In Proceedings of the 3rd National Conference of Advances and Research in Engineering.

Dayu Jia | Big Data Management | Best Researcher Award

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Mr. Dayu Jia | Big Data Management | Best Researcher Award

Associate Professor | Liaoning University | China

Dr. Jia Dayu is an Associate Professor and Master’s Supervisor at the School of Information Science, Liaoning University. He completed his Ph.D. in Computer Science at Northeastern University under the guidance of Prof. Wang Guoren and further gained international experience as a joint Ph.D. student at the National University of Singapore under Prof. Ooi Beng Chin. He also worked as a postdoctoral fellow at the School of Information Science and Engineering, Northeastern University. Dr. Jia has been actively involved in national, provincial, and ministerial research projects and has collaborated on international research initiatives. His research focuses on big data management, blockchain data analysis, and artificial intelligence, with expertise in scalable storage, secure data retrieval, and privacy-preserving techniques. He has published 21 high-quality papers in reputed journals and conferences, including Q1 journals such as Advanced Materials and Light: Science & Applications, and has served as the first or corresponding author on 12 publications in prestigious venues like JCST, WWW, and Software Journal. Dr. Jia has also been granted 13 national invention patents, demonstrating his innovative contributions, and has hosted or participated in six funded research projects. His skills include blockchain architecture design, data analytics, AI-driven optimization, and secure distributed systems. His work has earned recognition with 176 citations by 14 documents and an h-index of 5, reflecting the impact and relevance of his research in the academic community.

Profile : Scopus 

Featured Publication

1. Jia, D., Hu, Y., Huang, M., Zhang, J., He, G., Xu, S., Liu, S., & Wang, X. (2025). Security risks and solutions of concurrent PBFT. Expert Systems with Applications, 294, 128737.

Sakshi Dua | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Sakshi Dua | Engineering | Best Researcher Award

Associate Professor | Lovely Professional University | India

Dr. Sakshi Dua is an accomplished academic and researcher currently serving as Associate Professor at the School of Computer Applications, Lovely Professional University, Jalandhar-Phagwara, Punjab, India. She holds a Ph.D. in Computer Science and has over 14 years of professional experience as Assistant Professor before her current role. Her research interests span artificial intelligence, Internet of Things, Arduino, machine learning, fuzzy systems, network operating systems, and database management systems. She has contributed as Guest Editor for reputed ABDC and Scopus-indexed journals, authored book chapters with CRC Press, Taylor & Francis, and IGI Global, and is actively involved in book editorial projects with CRC Press and Emerald. She has published widely in SCIE, Scopus, ABDC, and UGC-indexed journals, as well as in IEEE and Springer conferences, and has presented her research internationally. Her contributions extend to applied innovation with patents and copyrights in diverse areas such as smart healthcare, ICT, and IoT-based solutions. She has chaired sessions at IEEE conferences, delivered workshops and FDPs, and guided students through impactful academic and research projects. Her skills include advanced data analysis, algorithm design, applied AI and IoT development, research writing, and academic leadership. Dr. Sakshi Dua has earned recognition through her impactful scholarly work, editorial leadership, and strong community engagement. She has received 71 citations by 9 documents with an h-index of 1.

Profile :  Scopus

Featured Publication

1. Dua, S. (2025). Blockchain-based node authentication algorithm for securing electronic health record data transmission.

Jaime Martinez Valderrama | Land Use Planning | Best Researcher Award

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Dr. Jaime Martinez Valderrama | Land Use Planning | Best Researcher Award

Tenured Scientist | Estación Experimental de Zonas Áridas (EEZA-CSIC) | Spain 

Dr. Jaime Martínez Valderrama is a tenured scientist at the Estación Experimental de Zonas Áridas, CSIC, Spain, with expertise in land degradation, desertification, and sustainable dryland management. He earned his PhD in Agricultural Economics and Social Sciences from the Universidad Politécnica de Madrid, where his doctoral work focused on modeling agricultural systems in fragile environments. His professional experience spans over two decades, including leadership in national and international research projects such as the Atlas of Desertification of Spain, collaborations with the Chinese Academy of Sciences, and European initiatives addressing global change in drylands. He has worked extensively on integrating ecological and socioeconomic models to guide environmental policy, advised government ministries and regional agencies, and engaged in consultancy for private sector sustainability projects. His research interests include desertification risk assessment, climate change adaptation, land use planning, and the socio-ecological dynamics of drylands, with strong emphasis on linking science and policy. He is also active in science communication through books, blogs, and contributions to popular science platforms, reflecting his commitment to connecting research with society. His skills include integrated modeling, ecological risk analysis, sustainability assessment, and interdisciplinary approaches to land management, supported by a robust record of publications in high-impact journals such as Science, Nature Sustainability, and Science of the Total Environment. He has received recognition for his contributions to sustainable land management and continues to expand international collaborations. His academic impact is reflected in 1,257 citations by 64 documents with an h-index of 20.

Profiles : ORCID | Scopus | Google Scholar

Featured Publications

1. Maestre, F. T., Le Bagousse-Pinguet, Y., Delgado-Baquerizo, M., Eldridge, D. J., … (2022). Grazing and ecosystem service delivery in global drylands. Science, 378(6622), 915–920.

2. Ibáñez, J., Martínez, J., & Schnabel, S. (2007). Desertification due to overgrazing in a dynamic commercial livestock–grass–soil system. Ecological Modelling, 205(3), 277–288.

3. Ibáñez, J., Valderrama, J. M., & Puigdefábregas, J. (2008). Assessing desertification risk using system stability condition analysis. Ecological Modelling, 213(2), 180–190.

4. Hirche, A., Salamani, M., Abdellaoui, A., Benhouhou, S., & Valderrama, J. M. (2011). Landscape changes of desertification in arid areas: The case of south-west Algeria. Environmental Monitoring and Assessment, 179(1), 403–420.

5.Martínez-Valderrama, J., Ibáñez, J., Del Barrio, G., Sanjuán, M. E., Alcalá, F. J., … (2016). Present and future of desertification in Spain: Implementation of a surveillance system to prevent land degradation. Science of the Total Environment, 563, 169–178.

Gamal Khater | Environmental Science | Best Researcher Award

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Prof. Dr. Gamal Khater | Environmental Science | Best Researcher Award

Professor | National Research Centre | Egypt

Prof. Dr. Gamal Khater is a distinguished researcher specializing in applied mineralogy, glass technology, and ceramic materials. He completed his B.Sc. in Geology and Chemistry from Mansoura University, followed by M.Sc. and Ph.D. degrees in Geology from Ain Shams University. He has extensive professional experience as a professor emeritus at the National Research Centre, with prior roles including technical expertise and consultancy in Saudi Arabia, executive advisor positions, and industrial project leadership. His research interests focus on glass-ceramics, industrial waste valorization, dental and bioactive glasses, refractory ceramics, and radiation shielding applications, integrating both academic and industrial applications. He has been recognized with multiple awards, including national and international honors for research excellence, environmental management, and innovation, and holds patents related to high-performance basaltic glass and industrial glass marble production. He has supervised numerous Ph.D. and M.Sc. theses, contributed to international collaborations, and actively participates in professional societies such as the Mineralogical Society of Egypt and the Egyptian Geological Society. His research skill set includes materials characterization, crystallization studies, thermal and electrical property evaluation, and development of sustainable industrial applications from natural and industrial wastes. His work has achieved 1,163 citations by 896 documents, with 58 h-index and 20 documents, reflecting a high level of impact and international recognition in his field.

Profiles : ORCID | Scopus

Featured Publications

1. Khater, G. A., Abu Safiah, M. O., & Hamzawy, E. M. A. (2015). Augite-anorthite glass-ceramics from residues of basalt quarry and ceramic wastes. Processing and Application of Ceramics.

2. Khater, G. A., & Morsi, M. M. (2011). Glass-ceramics based on spodumene-enstatite system from natural raw materials. Thermochimica Acta.

3. Khater, G. A. (2010). Diopside-anorthite-wollastonite glass-ceramics based on waste from granite quarries. Glass Technology: European Journal of Glass Science and Technology Part A.

4. Khater, G. A. (2010). Glass-ceramics in the CaO-MgO-Al2O3-SiO2 system based on industrial waste materials. Journal of Non-Crystalline Solids.

5. Khater, G. A., & Idris, M. H. (2009). Effect of some nucleating agents on crystallizing phases and microstructure in Li2O-BaO-Al2O3-SiO2 system. Ceramics International.

Hatice Sena Cinarli | Physiotherapy | Best Researcher Award

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Assist. Prof. Dr. Hatice Sena Cinarli | Physiotherapy | Best Researcher Award

Assistant Professor | kocaeli Health and Technology University | Turkey 

Dr. Hatice Sena Çınarlı is an Assistant Professor of Physiotherapy and Rehabilitation at Kocaeli University of Health and Technology, where she also serves as Vice Dean of the Faculty of Health Sciences. She completed her BSc in Physiotherapy and Rehabilitation at Ege University, MSc in Cardiopulmonary Physiotherapy at Dokuz Eylül University, and PhD in Physiotherapy and Rehabilitation at İnönü University with a thesis on thoracolumbar fascia release and pulmonary function in stroke patients. Her professional experience includes teaching a wide range of courses such as cardiopulmonary rehabilitation, orthopedic rehabilitation, kinesiology, neurophysiological approaches, and ethics in physiotherapy, while actively contributing to administrative and academic leadership. Her research interests cover cardiopulmonary rehabilitation, neurophysiological rehabilitation, functional assessment, exercise-based interventions, disability care, and the integration of artificial intelligence and technology in rehabilitation practices. She has published several articles in international peer-reviewed and Scopus-indexed journals, authored book chapters, and presented research at global conferences. Recognized for her scholarly contributions, she is actively involved in collaborative research and community-oriented projects. Her research skills include designing and conducting clinical trials, applying physiotherapy evaluation methods, developing innovative rehabilitation protocols, and analyzing patient outcomes with evidence-based approaches. Through her academic achievements, research productivity, and leadership, she continues to advance physiotherapy and rehabilitation sciences while contributing significantly to both patient care and scientific knowledge.

Profile: ORCID

Featured Publication

1. Çınarlı, H. S., Tokgöz, G., Akyol, B., Aygören, C., Beykümül, A., Larsen, M. N., Krustrup, P., França, C., Gouveia, É. R., & Çınarlı, F. S. (2025). Associations between pulmonary function and muscle strength in Turkish national karate athletes. Journal of Clinical Medicine, 14(18), 6370.