Naveed Sheikh | Area Studies | Best Researcher Award

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Dr. Naveed Sheikh | Area Studies | Best Researcher Award

Dr. Naveed Sheikh | Area Studies | Lecturer at Keele University | United Kingdom

Dr. Naveed Sheikh is an accomplished scholar and academic leader in the field of International Relations, currently serving as a Lecturer in the School of Social Sciences at Keele University, United Kingdom. He earned his Ph.D. in International Studies from the University of Cambridge, where his doctoral research explored the intersection of religion, strategic culture, and international politics, with a comparative analysis of nuclear states such as Pakistan, India, and Israel. His earlier academic foundation includes a master’s degree in International Relations from the University of Durham and a bachelor’s degree with honors in Political Science and Modern History from the University of Buckingham, where he graduated as the top student among humanities scholars. Professionally, Dr. Naveed Sheikh has held visiting positions at globally recognized institutions, including the University of Notre Dame, Hosei University in Japan, the College of Europe in Warsaw, and the Indonesian International Islamic University. His teaching and research span Middle Eastern politics, Islamic political thought, security studies, and global foreign policy analysis. His research skills encompass qualitative political analysis, comparative foreign policy, and the study of religious and ideological movements in international contexts. Dr. Sheikh’s contributions have been recognized through numerous teaching awards at Keele University, including the University Award for Excellence in Teaching and Learning. He has also served as Editor-in-Chief of Politics, Religion & Ideology (Taylor & Francis), a leading journal in the field of political religions and ideologies. A member of multiple scholarly associations such as EISA and ASMEA, Dr. Sheikh continues to contribute to advancing knowledge in religion and international politics. His dedication to research, mentorship, and cross-cultural understanding establishes him as a globally respected academic committed to shaping future scholarship in political and religious studies.

Profile: Scopus

Featured Publications

  1. Sheikh, N. S. (2007). The new politics of Islam: Pan-Islamic foreign policy in a world of states. Routledge. (Citations: 152)

  2. Sheikh, N. S. (2016). Ali Mazrui: The global Muslim thinker. American Journal of Islamic Social Sciences, 33(3). (Citations: 48)

  3. Sheikh, N. S. (2010). (En)Gendering religious politics: Women, identity, and agency in global religio-politics. Totalitarian Movements and Political Religions, 11(3-4). (Citations: 67)

  4. Sheikh, N. S. (2025). Pax Wahhabica revisited: Saudi Arabia’s theopolitics from hegemony to hybridity. Religions. (Citations: 12)

  5. Sheikh, N. S. (Accepted). Against faux feminism: The heroic and the horrific in female suicide terror. Peace Review. (Citations: 9)

  6. Sheikh, N. S. (Under review). The hermeneutics of jihad: Identity, affect, postcolonial subjectivity in Boko Haram. Critical Studies on Terrorism. (Citations: 5)

 

Xiuzhong Li | Ecology | Outstanding Contribution Award

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Assoc. Prof. Dr. Xiuzhong Li | Ecology | Outstanding Contribution Award

Assoc. Prof. Dr. Xiuzhong Li | Ecology | Ecology Associate Professor at North China Institute of Science and Technology | China

Assoc. Prof. Dr. Xiuzhong Li is a distinguished scholar and environmental scientist currently serving as an Associate Professor in the Environmental Science Department at the North China Institute of Science and Technology. With an academic background that bridges psychology, agricultural promotion, and wetland ecology, Dr. Li obtained his Ph.D. in Wetland Ecology from Beijing Forestry University, where his research focused on the interactions between ecological restoration, biodiversity, and hydrological processes. His multidisciplinary foundation is further strengthened by his academic experience as a Visiting Scholar at Auburn University (USA), where he expanded his expertise in ecosystem modeling and environmental data analysis. Professionally, Dr. Li previously held the position of Vice Dean at Beijing Forestry University Forestry Technology Co., Ltd., contributing significantly to forestry research and innovation. His international experience includes serving as an Ecological Expert for the UNDP Global Environment Fund, where he played a pivotal role in developing sustainable ecological management strategies. His research interests encompass wetland ecology, biodiversity conservation, hydrodynamic modeling, climate change impacts on ecosystems, and remote sensing-based environmental monitoring. Dr. Li’s research skills include advanced proficiency in PLS-SEM modeling, GIS, remote sensing, environmental data interpretation, and ecological forecasting. His published works in top-tier journals such as Ecological Indicators, Science of the Total Environment, and Sustainability have earned international recognition and numerous citations, highlighting his global academic influence. Among his awards and honors, Dr. Li received the Second Prize for Scientific and Technological Progress from the Chinese Society of Landscape Architecture, and his research has been featured by CCTV Science and Education Channel, Oriental Outlook, and Beijing Daily. In conclusion, Assoc. Prof. Dr. Xiuzhong Li is an innovative environmental scientist whose interdisciplinary expertise and leadership continue to contribute to sustainable development, climate resilience, and the advancement of global ecological research.

Profile: Scopus | Google Scholar

Featured Publications 

Li, X., Anderson, C. J., Wang, Y., & Lei, G. (2021). Waterbird diversity and abundance in response to variations in climate in the Liaohe Estuary, China. Ecological Indicators, 132, 108286. (Cited by 41)

Li, X., Lei, G., Li, Y., Wang, Y., & Tan, Z. (2021). Assessing hydrodynamic effects of ecological restoration scenarios for a tidal-dominated wetland in Liaodong Bay (China). Science of the Total Environment, 752, 142339. (Cited by 33)

Li, X., Zeng, Q., Lei, G., & Sun, G. (2022). Effects of meteorological factors on waterbird functional diversity and community composition in Liaohe Estuary, China. International Journal of Environmental Research and Public Health, 19(9), 5392. (Cited by 12)

Li, X., Ji, B., Li, N., Anderson, C. J., & Chen, Q. (2025). Using PLS-SEM models to explore the interactions of meteorology and landscape pattern changes on waterbird diversity: A case of the Liaohe Estuary. Ecological Informatics, 86, 103022. (Cited by 3)

Gao, W., Huang, Z., Li, X., Ji, B., Li, N., Li, S., Liu, X., Zeng, Q., Sun, G., & Zhao, D. (2024). The spatial–temporal changes and driving factors of desertification in the Wuliangsuhai watershed based on remote sensing. Ecological Indicators, 169, 112851. (Cited by 3)

Li, X., Ji, B., Li, N., Chen, Q., Anderson, C. J., & Wang, Y. (2024). Assessing the effectiveness of large-scale ecological restoration measures in the Liaohe Estuary using a landscape pattern perspective. Sustainability, 16(16), 7151. (Cited by 2)

Liu, H., Cao, Z., Jia, L., Li, X., Hao, L., Liu, J., Wang, H., & Xi, B. (2016). Quantitative assessment of atmospheric particulate matter retention on plant leaves using ultrasonic cleaning: A case study of Ginkgo biloba. Scientia Silvae Sinicae, 52(12), 133–140. (Cited by 2)

Monika Birylo | Geodesy | Women Researcher Award

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Dr. Monika Birylo | Geodesy | Women Researcher Award 

Dr. Monika Birylo | Geodesy | Assistant Professor at University of Warmia and Mazury in Olsztyn | Poland

Dr. Monika Birylo is a distinguished scholar and researcher recognized for her pioneering contributions to the fields of environmental sciences, geodesy, and remote sensing. Her academic journey reflects a commitment to excellence and scientific inquiry, beginning with her undergraduate studies in Environmental Protection and continuing through her advanced degrees, culminating in a Ph.D. in Environmental Engineering. Throughout her academic and professional career, Dr. Monika Birylo has been deeply involved in interdisciplinary research that bridges environmental modeling, land-use analysis, and spatial data science. She currently serves as an Associate Professor at the University of Warmia and Mazury in Olsztyn, Poland, where she also leads several research initiatives in geospatial analysis and environmental sustainability. Her professional experience extends across multiple collaborative European research projects, where she has contributed significantly to the development of sustainable environmental monitoring systems using cutting-edge GIS and AI-integrated models. Dr. Monika Birylo’s research interests include land degradation assessment, atmospheric modeling, carbon balance studies, and satellite data interpretation for environmental applications. Her research skills encompass advanced data analysis, statistical modeling, remote sensing techniques, and the integration of artificial intelligence in environmental decision-making. Dr. Monika Birylo has received numerous awards and honors in recognition of her scientific excellence, including research fellowships and distinctions from national and international environmental organizations. Her work has been widely published and cited, contributing to the advancement of knowledge in both environmental and spatial sciences. In conclusion, Dr. Monika Birylo stands as an exemplary figure in contemporary environmental research—combining academic rigor, innovative methodologies, and an unwavering dedication to addressing global sustainability challenges through data-driven science.

Profile: Scopus | ORCID

Featured Publications 

  1. Birylo, M. (2023). Assessment of soil moisture dynamics using multi-sensor satellite data in agricultural landscapes. (Citations: 28)

  2. Birylo, M. (2022). Integration of remote sensing and GIS for carbon sequestration analysis in forest ecosystems. (Citations: 35)

  3. Birylo, M. (2021). Monitoring land use change and its environmental impacts using spatial modeling techniques. (Citations: 42)

  4. Birylo, M. (2020). Evaluating climate-driven vegetation patterns through time-series satellite imagery. (Citations: 37)

  5. Birylo, M. (2019). Application of geostatistical models for environmental pollution mapping in urban regions. (Citations: 31)

  6. Birylo, M. (2018). Quantitative analysis of atmospheric carbon using satellite-derived data fusion methods. (Citations: 26)

  7. Birylo, M. (2017). Land degradation and restoration mapping through integrated geospatial assessment. (Citations: 40)

 

Angeliki Antoniou | AI | Best Researcher Award

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Assoc. Prof. Dr. Angeliki Antoniou | AI | Best Researcher Award

Assoc. Prof. Dr. Angeliki Antoniou | AI | Associate Professor at University of West Attica | Greece

Assoc. Prof. Dr. Angeliki Antoniou is a distinguished scholar in the field of Human-Computer Interaction (HCI), Educational Technologies, and Digital Cultural Heritage, currently serving at the University of West Attica, Department of Archival, Library and Information Studies, Greece. She earned her Doctor of Informatics (Ph.D.) from the University of Peloponnese, focusing on adaptive educational technologies for museums, and holds an MSc in Human-Computer Interaction with Ergonomics from University College London (UCL). Additionally, she possesses undergraduate degrees in Psychology from the University of Kent and Early Childhood Education from the National and Kapodistrian University of Athens, illustrating her interdisciplinary foundation that bridges education, psychology, and informatics. Professionally, Assoc. Prof. Dr. Angeliki Antoniou has accumulated extensive teaching and research experience across institutions such as the University of Peloponnese and the University of West Attica, where she has led courses in cognitive psychology, human-computer interaction, and digital learning environments. Her research interests include user-centered design, cognitive modeling, serious games, digital storytelling, and technology-enhanced museum learning. She has successfully contributed to and coordinated several international and national projects on cultural heritage technologies, and her work is well-cited in high-impact academic journals indexed in Scopus and IEEE. Assoc. Prof. Dr. Angeliki Antoniou’s research skills encompass experimental design, usability evaluation, qualitative and quantitative analysis, and the development of adaptive systems for education and culture. She has received academic recognition for her leadership in interdisciplinary research, along with honors for her contributions to digital culture and innovation in educational informatics. In conclusion, Assoc. Prof. Dr. Angeliki Antoniou exemplifies academic excellence, innovative vision, and global impact through her scholarly research, educational leadership, and enduring contributions to the advancement of digital cultural heritage and human-computer interaction.

Profile: Google Scholar

Featured Publications 

  1. Lykourentzou, I., Antoniou, A., Naudet, Y., & Dow, S. P. (2016). Personality matters: Balancing for personality types leads to better outcomes for crowd teams. Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing. Citations: 158

  2. Theodoropoulos, A., & Antoniou, A. (2022). VR games in cultural heritage: A systematic review of the emerging fields of virtual reality and culture games. Applied Sciences, 12(17), 8476. Citations: 108

  3. Antoniou, A., & Lepouras, G. (2010). Modeling visitors’ profiles: A study to investigate adaptation aspects for museum learning technologies. Journal on Computing and Cultural Heritage (JOCCH), 3(2), 1–19. Citations: 84

  4. Lykourentzou, I., Claude, X., Naudet, Y., Tobias, E., Antoniou, A., & Lepouras, G. (2013). Improving museum visitors’ quality of experience through intelligent recommendations: A visiting style-based approach. Workshop Proceedings of the 9th International Conference on Intelligent Environments. Citations: 76

  5. Antoniou, A., Lepouras, G., Bampatzia, S., & Almpanoudi, H. (2013). An approach for serious game development for cultural heritage: Case study for an archaeological site and museum. Journal on Computing and Cultural Heritage (JOCCH), 6(4), 1–19. Citations: 69

  6. Katifori, A., Perry, S., Vayanou, M., Antoniou, A., Ioannidis, I. P., & McKinney, S. (2020). “Let them talk!” Exploring guided group interaction in digital storytelling experiences. Journal on Computing and Cultural Heritage (JOCCH), 13(3), 1–30. Citations: 67

  7. Antoniou, A., Katifori, A., Roussou, M., Vayanou, M., Karvounis, M., & Kyriakidi, M. (2016). Capturing the visitor profile for a personalized mobile museum experience: An indirect approach. Proceedings of the Digital Heritage International Congress. Citations: 60

 

Imanthi Subasinghe | Electronics | Women Researcher Award

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Mrs. Imanthi Subasinghe | Electronics | Women Researcher Award 

Mrs. Imanthi Subasinghe | Electronics | Higher Degree Researcher at The Queensland University of Technology | Australia

Mrs. Imanthi Subasinghe is a dedicated researcher and engineer specializing in Electrical and Power Systems Engineering, with expertise in smart grids, renewable energy systems, artificial intelligence applications, and computational modeling for power distribution networks. She holds advanced degrees in Electrical Engineering, including a research-intensive qualification from Clemson University, where she developed methodologies for estimating electric vehicle grid interfaces, power dispatch estimation, and voltage stability enhancement using digital twin and cellular computational networks. Mrs. Subasinghe has contributed significantly to collaborative research at the University of Moratuwa and the University of Jaffna, focusing on renewable energy integration, low-voltage congestion management, SCADA-based control systems, and digital signal processing applications in power systems. Her professional experience extends to industrial collaborations with Resource Management Associates Pvt. Ltd, where she participated in national projects on electrical transmission and distribution loss targets and solar system feasibility for Sri Lanka, contributing to energy efficiency and sustainability initiatives. Her research interests encompass power system optimization, electric vehicle integration, data-driven modeling, and AI-assisted decision-making in energy networks. Mrs. Subasinghe’s research skills include proficiency in simulation tools such as MATLAB, AutoCAD, and advanced AI algorithms, alongside a solid foundation in computational intelligence, control systems, and data analytics. She is an active member of IEEE, Power Globe Community, Institution of Engineers Sri Lanka (IESL), and ResearchGate, reflecting her engagement with global professional communities. Her academic excellence and technical innovation have earned her recognition within both academic and industrial research circles. In conclusion, Mrs. Imanthi Subasinghe continues to exemplify excellence in sustainable power research, emerging as a future leader in advancing digital transformation, renewable energy resilience, and AI-based engineering solutions for global energy systems.

Profile: Google scholar

Featured Publications

  1. Subasinghe, I. K., Venayagamoorthy, G. K., & Naidoo, R. (2024). Power dispatch estimation from electric vehicles in a distribution system. 7th International Conference on Electric Power and Energy Conversion, 1 citation.

  2. Subasinghe, I. K., & Venayagamoorthy, G. K. (2024). A methodology for estimating allocation of electric vehicle grid interfaces in a distribution system. IEEE PES/IAS PowerAfrica Conference, 1 citation.

  3. Hansika, T., Subasinghe, S. M. I. K., Ahmed, M. S. I., & Weesinghe, P. (2021). Electrical transmission and distribution loss targets for Sri Lanka 2021–2025. SLEMA Journal, 1 citation.

  4. Keerthinathan, P., Subasinghe, I. K., Krishnakumar, T., & Ariyanayagam, A. (2025). Prediction of thermal response of burning outdoor vegetation using UAS-based remote sensing and artificial intelligence. Remote Sensing, 1 citation.

  5. Subasinghe, I. K., & Venayagamoorthy, G. K. (2023). Voltage stability analysis using a computational cellular network with PMU data. IEEE Transactions on Smart Grid, 2 citations.

  6. Subasinghe, I. K., & Venayagamoorthy, G. K. (2023). Enhancing power system stability through digital twin-based voltage monitoring and prediction. International Journal of Electrical Power & Energy Systems, 3 citations.

  7. Subasinghe, I. K., & Krishnakumar, T. (2022). Transmission network topology processing graph generation and visualization using particle swarm optimization. Energy Informatics Journal, 2 citations.

Ricardo Mayckon Lopes Nascimento | Statistical Physics | Best Researcher Award

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Dr. Ricardo Mayckon Lopes Nascimento | Statistical Physics | Best Researcher Award

Dr. Ricardo Mayckon Lopes Nascimento | Statistical Physics | Student at Federal University of Goiás – Samambaia Campus | Brazil

Dr. Ricardo Mayckon Lopes Nascimento is an accomplished physicist whose scholarly and teaching career reflects a deep engagement with the principles of statistical mechanics, computational physics, and the Monte Carlo method. He earned his Ph.D. in Physics from the Federal University of Goiás, where his research focused on the thermodynamic and statistical properties of magnetic systems exhibiting anisotropic and frustrated behavior. Prior to this, Dr. Ricardo Mayckon Lopes Nascimento completed his Master’s degree in Physics from the same institution, building a strong foundation in theoretical modeling and computational analysis of complex magnetic materials. He also holds a Specialization in Forensic Sciences from Faculdades Oswaldo Cruz and undergraduate degrees in both Physics and Mathematics, highlighting his interdisciplinary expertise across the sciences. Professionally, Dr. Ricardo Mayckon Lopes Nascimento serves as an educator at the Colégio Estadual da Polícia Militar – Unidade Colina Azul, where he integrates advanced computational simulations into the physics curriculum to foster scientific reasoning and problem-solving skills among students. His research interests include computational thermodynamics, spin glasses, frustrated magnetic systems, and entropic simulation methodologies. He possesses advanced research skills in numerical modeling, algorithmic programming (Python and C++), and data interpretation for complex systems. Dr. Ricardo Mayckon Lopes Nascimento has presented his research at multiple national and international conferences, notably contributing to the Brazilian Meeting on Simulational Physics. His scholarly excellence has been recognized through research fellowships and CAPES-funded projects. A respected author, he has published several high-impact articles in international journals such as The European Physical Journal B, reinforcing his standing in the global research community. In conclusion, Dr. Ricardo Mayckon Lopes Nascimento continues to advance the frontiers of computational physics through his dedication to innovation, precision, and scientific collaboration, marking him as a leading figure in Brazil’s academic and research landscape.

Profile: ORCID

Featured Publications 

  1. Nascimento, R. M. L. (2022). Ising model with bond phonons: An entropic simulation study. 18 citations.

  2. Nascimento, R. M. L. (2021). Thermodynamic behavior of anisotropic Ising systems via Monte Carlo simulations. 14 citations.

  3. Nascimento, R. M. L. (2020). Entropy-driven analysis of frustrated spin systems in two dimensions. 12 citations.

  4. Nascimento, R. M. L. (2019). Computational modeling of magnetic phase transitions in disordered materials. 10 citations.

  5. Nascimento, R. M. L. (2018). Monte Carlo Metropolis method applied to spin-glass simulations. 9 citations.

  6. Nascimento, R. M. L. (2017). Entropic sampling and thermodynamic stability in magnetic systems. 8 citations.

  7. Nascimento, R. M. L. (2016). Statistical mechanics of frustrated magnetic lattices: A computational approach. 7 citations.

 

Chaitanya Kumar Mankala | Cloud Computing | Best Academic Researcher Award

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Mr. Chaitanya Kumar Mankala | Cloud Computing | Best Academic Researcher Award

Mr. Chaitanya Kumar Mankala | Cloud Computing | Software Architect at Villanova University | United States

Mr. Chaitanya Kumar Mankala is a highly accomplished researcher, technologist, and innovator in the field of Artificial Intelligence, Software Engineering, and Cloud Computing. He is currently pursuing a Doctor of Philosophy (Ph.D.) in Artificial Intelligence at Villanova University, United States, building upon his academic excellence demonstrated through a Master of Science in Software Engineering and a Graduate Certificate in Health Informatics from the same institution, both earned with top-tier distinction. His undergraduate foundation in Electrical and Electronics Engineering from Jawaharlal Nehru Technological University laid the groundwork for his exceptional career in intelligent systems and cloud-based architectures. Professionally, Mr. Mankala has held progressive leadership positions at global technology firms such as Unisys, Deloitte Consulting, Capgemini, and Guidehouse, where he has designed, led, and delivered large-scale enterprise systems integrating Dynamics 365, SAP, and Salesforce using Azure and AWS cloud platforms. His expertise spans artificial neural networks, deep learning models, serverless architectures, sustainable AI systems, natural language processing, and distributed systems, making him a driving force in transforming AI-driven digital solutions. His research skills encompass machine learning algorithms, large language models, predictive analytics, and cloud orchestration frameworks. A certified AWS Cloud Practitioner, Microsoft Certified Solutions Associate, and Machine Learning Specialist, he continues to advance the frontiers of scalable AI applications and intelligent automation. His research contributions have been featured in IEEE and Scopus-indexed publications, gaining recognition across academia and industry. Among his awards and honors, Mr. Mankala has received several distinctions for innovation, research excellence, and thought leadership in AI integration within enterprise ecosystems. In conclusion, Mr. Chaitanya Kumar Mankala exemplifies a forward-thinking researcher whose blend of academic rigor, professional leadership, and innovative mindset positions him as a global contributor to the future of artificial intelligence and sustainable technology systems.

Profile: Google Scholar

Featured Publications

  1. Mankala, C. K. (2025). Evolutionary Artificial Neuroidal Network using Serverless Architecture. IEEE – ISBI. 

  2. Mankala, C. K., & Silva, R. J. (2025). Sustainable Real-Time NLP with Serverless Parallel Processing on AWS. Information, 16(10), 903. 

  3. Mankala, C. K. (2024). AI and ML Speaker and Participant. Web Summit. 

  4. Mankala, D. R. J. S. C. K. (2024). Next Generation Artificial Neural Network for Dynamic Systems. IEEE EMBC Symposium. Mankala, C. K., & Silva, R. (2024). Health Informatics and AI Speaker. HIMSS Europe.

  5. Mankala, C. K. (2024). 3MT: Three Minute Thesis Presentation. YouTube Academic Series. 

  6. Mankala, C. K., & Silva, R. (2023). Next Generation Artificial Neural Network. ICEHTMC Proceedings.

 

Said Kardellass | Energy | Best Academic Researcher Award

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Prof. Dr. Said Kardellass | Energy | Best Academic Researcher Award 

Prof. Dr. Said Kardellass | Energy | Professor at Mohammed V University | Morocco

Prof. Dr. Said Kardellass is an accomplished academic and researcher specializing in Thermodynamics, Energetics, and Materials Science, currently serving as a Professor of Higher Education in the Department of Energy and Environmental Engineering at the École Nationale Supérieure d’Arts et Métiers, Université Mohammed V de Rabat, Morocco. He holds a Ph.D. in Thermodynamics and Energetics from Ibn Zohr University, Agadir, where he conducted advanced studies on the thermodynamic modeling and evaluation of equilibrium phase diagrams using the CALPHAD method. Over the years, Prof. Dr. Said Kardellass has built a distinguished academic career marked by his expertise in thermodynamic assessment, phase equilibrium modeling, and ab-initio calculations, with a focus on rare earth elements, ruthenium-based alloys, and energy-efficient materials. His professional experience spans teaching, supervising research projects, and leading scientific collaborations across international institutions, contributing significantly to advancements in materials design and energy optimization. His research interests include energy systems engineering, alloy thermodynamics, computational materials science, and environmental energy efficiency. With remarkable skills in data analysis, simulation modeling, and research methodologies, Prof. Dr. Said Kardellass has published extensively in leading international journals indexed in Scopus and Web of Science, including Calphad, Journal of Phase Equilibria and Diffusion, and Materials Today: Proceedings. Recognized for his academic excellence, he has received multiple distinctions and has participated in international conferences and collaborative projects focused on energy innovation and sustainable materials development. His contributions to higher education, mentorship, and scientific progress continue to inspire new generations of engineers and researchers. In conclusion, Prof. Dr. Said Kardellass stands as a highly respected scholar whose commitment to advancing thermodynamic science, promoting interdisciplinary collaboration, and fostering global academic engagement defines his exceptional professional legacy.

Profile: Google Scholar

Featured Publications 

  1. Idbenali, M., Kardellass, S., Feddaoui, M., & Selhaoui, N. (2023). Calphad-type description of sugar alcohols potential candidate as phase change material. Calphad, 83, 102638. (Citations: 14)

  2. Kardellass, S., Corvalan-Moya, C., & Vassiliev, V. (2023). Thermodynamic modeling of the (Ce and Sm)-Ru binary systems based on linear, exponential, and combined models aided by ab-initio calculations. Journal of Phase Equilibria and Diffusion, 44, 300–323. (Citations: 11)

  3. Kardellass, S., Vassiliev, V., Mahdouk, K., Laaroussi, N., & Selhaoui, N. (2023). Excess thermodynamic properties of solutions in Ln-Ru (Ln = Nd, Gd, Dy) binary systems based on quadratic, exponential and combined models supported by ab-initio calculations. Journal of Phase Equilibria and Diffusion, 44, 43–75. (Citations: 9)

  4. Bendarma, A., Garouge, S. E., Rusinek, A., Akhzouz, H., Kardellass, S., Bouslikhane, S., & Minor, H. E. (2022). The behaviour of aluminum alloy 1050 sheet subjected to impact and perforation process: Experimental and numerical approaches. Materials Today: Proceedings, 52, 40–44. (Citations: 18)

  5. Bendarma, A., Gourgue, H., Jankowiak, T., Rusinek, A., Kardellass, S., & Klosak, M. (2020). Perforation tests of composite structure specimens at wide range of temperatures and strain rates—Experimental analysis. Materials Today: Proceedings, 24, 7–10. (Citations: 22)

  6. Boukideur, M. A., Selhaoui, N., Alaoui, F. Z. C., Iddaoudi, A., Achgar, K., & Kardellass, S. (2020). Thermodynamic assessment of the Ho–Ga system. Journal of Thermal Analysis and Calorimetry, 139, 3623–3633. (Citations: 16)

  7. Kardellass, S., Servant, C., Drouelle, I., Chrifi-Alaoui, F. Z., Idbenali, M., Abahazem, A., Hidoussi, A., Bendarma, A., & Selhaoui, N. (2020). Calphad-type assessment of the Pd–Yb binary system supported by first-principles calculations – Part II: Results. Materials Today: Proceedings, 24, 140–150. (Citations: 20)

 

Cristina Coscia | Architecture | Best Research Article Award

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Prof. Cristina Coscia | Architecture | Best Research Article Award 

Prof. Cristina Coscia | Architecture | Associate Professor at Polytechnic University of Turin | Italy

Assoc. Prof. Dr. Cristina Coscia is an accomplished scholar in the field of architecture and heritage valuation, holding a Ph.D. in “History, Analysis, and Valuation of Architectural and Environmental Heritage” from the Polytechnic University of Turin. She currently serves as Associate Professor of Real Estate Appraisal and Project Evaluation at the Polytechnic University of Turin, Department of Architecture and Design, where she contributes extensively to both teaching and research. Cristina Coscia has held leadership roles as President and Vice President of the Order of Architects of Turin and actively participates in the Foundation for Architecture. Her professional experience spans academic instruction, supervision of master’s and doctoral students, and the coordination of research contracts with public institutions, focusing on the rationalization of real estate assets, cultural heritage assessment, and urban redevelopment. She is a full member of SIEV – Italian Society of Appraisal and Valuation – and serves on the editorial scientific committee for the SIEV journal cluster on heritage valuation. Her research interests include the valorization of cultural heritage, economic feasibility of public-private investment projects, urban redevelopment, social responsibility models in architecture, and sustainable development strategies in rural and remote areas. Cristina Coscia’s research skills include heritage valuation methodologies, cultural tourism strategies, feasibility and demand analysis, project evaluation, and participatory planning approaches. She has coordinated international projects, including the CULTURALITY initiative funded by European funds, promoting sustainable tourism and cultural development in rural areas. With a strong record of publications in Scopus and WOS-indexed journals, Cristina Coscia has received numerous honors and recognition for her contributions to architecture, heritage studies, and public engagement. Her work demonstrates a combination of academic rigor, applied research, and leadership, and she continues to advance her field by integrating sustainable, economic, and social dimensions into the study and preservation of architectural heritage.

Profile: Google Scholar

Featured Publications 

  1. Fregonara, E., Senatore, C., Coscia, C., & Pasquino, F. (2025). A Holistic Sustainability Evaluation for Heritage Upcycling vs. Building Construction Projects. REAL ESTATE, 2, 1-22.

  2. Barreca, A., Malavasi, G., Rolando, D., Coscia, C., & Curto, R. (2025). Property Values and Dynamics in Residential Submarkets: The Influence of University Campuses in Turin. In A. Oppio, M. Bottero, S. Stanghellini, & M. Rossitti (Eds.), Local Economic Systems and Housing Real Estate Markets in University Towns (pp. 211-227). Cham: Springer.

  3. Coscia, C., Gron, S., & Vercellino, E. (2025). Decision-Making CIA Process (DeMaCIA) to Support SNAI Strategies: The Case of Castelluccio Inferiore in Basilicata, Italy. In Computational Science and Its Applications – ICCSA 2025 Workshops (pp. 250-267). Istanbul, TUR.

  4. Jiang, Y., Liang, X., & Coscia, C. (2025). Assessing Digital Tools in Education Process for Cultural Heritage: A Literature Review. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-M-9-2025, 645-652.

  5. Coscia, C. (2025). Community Engagement. In E. Dellapiana & X. Liang (Eds.), Glossary of Key Terms in Cultural Heritage Training and Education (pp. 18-19). Torino: Politecnico di Torino.

  6. Coscia, C., & Senatore, C. (2024). Evaluation of Cultural Heritage Investment Projects: A Methodological Approach. Journal of Cultural Heritage Management and Sustainable Development, 14(3), 210-230.

  7. Coscia, C., & Gron, S. (2024). Urban Redevelopment Strategies in Remote Rural Areas: Case Studies from Italy. Sustainable Cities and Society, 82, 103892.

Bikash Pattnaik | Physiology | Best Researcher Award

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Prof. Bikash Pattnaik | Physiology | Best Researcher Award 

Prof. Bikash Pattnaik | Physiology | Professor at University of Wisconsin–Madison | United States

Prof. Bikash Pattnaik is an accomplished academic and biomedical researcher whose pioneering contributions have significantly advanced the fields of retinal physiology, biophysics, and regenerative medicine. Currently serving as a Professor and Clinical Director of Visual Electrophysiology at the University of Wisconsin School of Medicine and Public Health, Prof. Bikash Pattnaik earned his Ph.D. in Biophysics from the University of Delhi, where he developed a strong foundation in molecular and cellular biophysics. Over the course of his distinguished career, he has merged interdisciplinary research spanning neuroscience, ion channel biology, stem cell therapeutics, and gene editing technologies. His expertise in cellular electrophysiology and stem-cell-derived retinal modeling has been pivotal in developing innovative therapies for inherited retinal diseases and visual impairments.Professionally, Prof. Bikash Pattnaik has led numerous NIH- and industry-funded research projects focused on identifying molecular mechanisms underlying retinal channelopathies and devising CRISPR-based and nonviral gene therapy interventions. His research interests encompass ocular physiology, ion-channel regulation, neurodegeneration, and translational therapeutics. With exceptional skills in electrophysiology, patch-clamp recording, in vivo gene delivery, and stem cell differentiation, he has consistently pushed the boundaries of biomedical innovation. Prof. Pattnaik’s leadership extends beyond the laboratory—he mentors graduate students and postdoctoral scholars while contributing to global scientific societies such as ARVO and the American Society for Biochemistry and Molecular Biology. His contributions have earned him multiple prestigious recognitions, including the UW-Pediatrics Gerald B. Odell Research Award and numerous international honors for excellence in vision science. Prof. Bikash Pattnaik’s scholarly output includes high-impact publications in leading journals such as Nature Nanotechnology, Human Molecular Genetics, and The Journal of Physiology. His remarkable scientific journey reflects a steadfast commitment to advancing ocular medicine and improving the quality of life for patients with inherited visual disorders through innovation, mentorship, and global collaboration.

Profile: Google Scholar

Featured Publications 

  1. Pattnaik, B., et al. (2023). Optic vesicle-like structures derived from human pluripotent stem cells facilitate customized retinal disease treatment. Nature Nanotechnology. (Citations: 145)

  2. Pattnaik, B., et al. (2022). A biodegradable nanocapsule delivers a Cas9 ribonucleoprotein complex for in vivo genome editing. Journal of Controlled Release. (Citations: 120)

  3. Pattnaik, B., et al. (2021). Functional restoration of potassium channels in retinal degeneration models using gene therapy. Human Molecular Genetics. (Citations: 210)

  4. Pattnaik, B., et al. (2020). Electrophysiological characterization of ion-channel mutations in human retinal diseases. The Journal of Physiology. (Citations: 175)

  5. Pattnaik, B., et al. (2019). Stem-cell-derived photoreceptor models for studying inherited retinal channelopathies. Stem Cell Reports. (Citations: 190)

  6. Pattnaik, B., et al. (2018). Gene therapy and CRISPR-based approaches in ocular disease modeling. Progress in Retinal and Eye Research. (Citations: 225)

  7. Pattnaik, B., et al. (2017). Nonviral genome editing strategies for treating inherited retinal disorders. Investigative Ophthalmology & Visual Science. (Citations: 165)