Weiran Liu | Digital Twin | Best Researcher Award

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Dr. Weiran Liu | Digital Twin | Best Researcher Award

Dr. Weiran Liu | Beihang University | China

Dr. Weiran Liu, is a postdoctoral researcher at the Digital Twin International Research Center, International Research Institute for Multidisciplinary Science, Beihang University, China, where he specializes in digital twin technologies and their applications. He earned his B.S. degree in Automation Science and Electrical Engineering from Beihang University in 2014 and completed his Ph.D. in the same field at Beihang University in 2024. His research focuses on digital twin theory, digital twin satellites, and digital twin shop-floor systems, with pioneering work that introduced the novel concept of the digital twin satellite. At the China Academy of Space Technology, he spearheaded the development of an internationally advanced digital twin satellite assembly shop-floor, which has been adopted as a benchmark to guide the construction of the Tianjin satellite factory, demonstrating strong translational impact from theory to industry. To date, Dr. Liu has completed or is engaged in 10 research projects, published 16 SCI/Scopus-indexed journal articles, and holds 9 patents that underline his innovative capacity. His academic influence is reflected in 240 citations across 207 documents, 28 indexed publications, and an h-index of 10, establishing his reputation as a rising researcher whose work significantly strengthens the global advancement of digital twin technologies.

 Profile: Scopus | Google Scholar | Researchgate 

Featured Publications

Tao, F., Liu, W., Zhang, M., Hu, T., Qi, Q., Zhang, H., Sui, F., Wang, T., & Xu, H. (2019). Five-dimension digital twin model and its ten applications. Comput. Integr. Manuf. Syst, 25(1), 1-18.

Tao, F., Liu, W., Liu, J., Liu, X., Liu, Q., Qu, T., Hu, T., Zhang, Z., Xiang, F., & Xu, W. (2018). Digital twin and its potential application exploration. Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, 24(1), 1-18.

Tao, F., Sun, X., Zhu, Y., Liu, W., Yong, W., & Xu, H. (2024). makeTwin: A reference architecture for digital twin software platform. Chinese Journal of Aeronautics, 37(1), 1-18.

Tao, F., Ma, X., Hu, T., Huang, Z., Cheng, J., Qi, Q., Zhang, M., Liu, W., Zhang, H., & … (2019). Research on digital twin standard system. Computer Integrated Manufacturing Systems, 25(10), 2405-2418.

Tao, F., Zhang, H., Qi, Q. L., Zhang, M., Liu, W. R., & Cheng, J. F. (2020). Ten questions towards digital twin: Analysis and thinking. Computer Integrated Manufacturing Systems, 26(1), 1-17.

Liu, W., Tao, F., Cheng, J., Zhang, L., & Yi, W. (2020). Digital twin satellite: Concept, key technologies and applications. Computer Integrated Manufacturing Systems, 26(3), 565-588.

Tao, F., Ma, X., Qi, Q., Liu, W., He, Z., & Chenyuan, Z. (2023). Theory and key technologies of digital twin connection and interaction. Computer Integrated Manufacturing System, 29(1), 1.

Cyrille Feybesse | Data Science | Best Researcher Award

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Dr. Cyrille Feybesse | Data Science | Best Researcher Award

Dr. Cyrille Feybesse | Guillaume Regnier Hospital | France

Dr. Cyrille Feybesse, a French psychologist and Maître de Conférences (MCF, 2022), is a researcher and clinical psychologist specializing in love, creativity, and cross-cultural psychology. He earned his Ph.D. in Psychology (2015) at Université Paris Descartes under the supervision of Professors Geneviève Coudin and Todd Lubart, with additional mentorship from Professor Elaine Hatfield (University of Hawai‘i). His academic background spans clinical, health, and social psychology, with training in France, Portugal, and Brazil. Dr. Feybesse has held postdoctoral fellowships at Université Paris Descartes and the University of Porto, collaborating with the Portuguese Foundation for Science and Technology (FCT) on pioneering research into passionate love and creativity. Since 2022, he has been conducting clinical and research activities at the Centre Hospitalier Guillaume Régnier, Rennes, focusing on child psychiatry, creativity, and high-potential intelligence. He has authored over 14 publications, contributed to multiple book chapters, and presented at numerous international conferences. His work has been cited more than 350 times (Scopus Author ID: 57191835134; ORCID: 0000-0001-7795-568X) with an h-index of 6. Multilingual in English, Portuguese, and Spanish, Dr. Feybesse also serves as Assistant Editor for Interpersona and reviewer for leading journals including Sexuality & Culture and European Psychologist, advancing research at the intersection of love, creativity, and human development.

 Profile: Scopus | Orcid  | Researchgate 

Featured Publications

Feybesse, C., Forthmann, B., Neto, F., Holling, H., & Hatfield, E. (2025). Measuring love around the world: A cross-cultural reliability generalization. Sexuality & Culture. Advance online publication.

Feybesse, C. (2024). Social representation of passionate love among Brazilian and French youngsters. Trends in Psychology. Advance online publication.

Feybesse, C., Fu, S., Lubart, T., Rasa, L., Ossom, C., Cavasino, V., Jacob, J., & Lemonnier, T. (2020). Social representation of fair price among professional photographers. PLOS ONE, 15(12), e0243547.

Feybesse, C. (2018). Assessing passionate love: Italian validation of the PLS (reduced version). Sexual and Relationship Therapy, 33(2), 221–229.

Feybesse, C. (2016). Sensory values in romantic attraction in four European countries: Gender and cross-cultural comparison. Journal of Cross-Cultural Research, 50(2), 109–123.

Murat Ozkut | Reliability Engineering | Best Researcher Award

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Assoc. Prof. Dr. Murat Ozkut | Reliability Engineering
| Best Researcher Award

Assoc. Prof. Dr. Murat Ozkut | Izmir University of Economics | Turkey

Assoc. Prof. Dr. Murat Ozkut is an accomplished scholar and Associate Professor in the Department of Mathematics at Izmir University of Economics, Türkiye, with over a decade of academic and research experience in applied mathematics, reliability theory, and stochastic modeling. His research primarily focuses on the reliability assessment of complex engineering systems, shock models, dependent component analysis, and optimization of replacement policies, producing significant contributions published in high-impact journals such as IEEE Transactions on Reliability, Journal of Computational and Applied Mathematics, Reliability Engineering & System Safety, and Computers & Industrial Engineering. With a strong academic background, including a Ph.D. in Applied Mathematics and Statistics , Dr. Ozkut has authored 188 Citations 15 journal papers that have been cited in 155 documents, achieving an h-index of 7, demonstrating the scholarly impact and relevance of his work. His collaborative research with prominent statisticians and engineers has advanced the understanding of reliability in coherent and multi-state systems under Marshall–Olkin type shocks, run shock models, and k-out-of-n frameworks, offering practical applications in risk and reliability engineering. Beyond research, he is skilled in multiple programming languages (Python, R, Java, SQL, LATEX) and integrates computational methods into his teaching and consultancy. With proven expertise, international collaborations, and growing citation influence, Dr. Ozkut is well-positioned to expand his contributions to reliability engineering, applied probability, and interdisciplinary applications of mathematical sciences.

 Profile: Scopus | Orcid  

Featured Publications

  • Ozkut, M., & Tutuncu, G. Y. (2025). Reliability analysis and optimization problems for a weighted-k-out-of-n: G system with multiple types of components. Computers & Industrial Engineering.

  • Ozkut, M., Kan, C., & Franko, C. (2024). Analyzing the multi-state system under a run shock model. Probability in the Engineering and Informational Sciences.

  • Torrado, N., & Ozkut, M. (2024). Analyzing component failures in series-parallel systems with dependent components. Computers & Industrial Engineering.Ozkut, M. (2024). Reliability assessment of consecutive k-out-of-n systems with two types of dependent components. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability.

  • Ozkut, M. (2023). Reliability and optimal replacement policy for a generalized mixed shock model. TEST.

 

Monis Bin Abid | Chemical Engineering | Best Researcher Award

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Dr. Monis Bin Abid | Chemical Engineering
| Best Researcher Award

Dr. Monis Bin Abid | Prince Muqrin of Madinah | Saudi Arabia

Dr. Monis Bin Abid is an accomplished chemistry lecturer and researcher with over eight years of diverse teaching experience across leading institutions in Saudi Arabia and Pakistan, currently serving at the University of Prince Mugrin, Madinah. His expertise spans teaching, curriculum design, quality assurance, and student advising, where he has consistently demonstrated leadership as chairman of the course design team, deputy chairman of the General Studies Department, and active member of quality and accreditation committees. A recipient of multiple honors including the Best Researcher Award (2024) and the Dr. Alsayyed Scientific Research Award, Dr. Abid has also been recognized as Best Teacher of the Year in 2017 and 2018, reflecting his dual excellence in research and pedagogy. His Ph.D. project at Universiti Teknologi Malaysia focused on membrane distillation desalination using advanced omniphobic membranes, a field in which he has authored impactful publications indexed in Scopus and ISI Q1/Q2 journals, contributing to the advancement of sustainable water treatment technologies. With a portfolio of over 90 citations, nine published papers, and an h-index of 3, his scholarly influence is growing steadily. Dr. Abid has earned certifications from prestigious institutions worldwide, reflecting his commitment to continuous professional development. His research collaborations extend internationally with universities such as King Abdulaziz University, Universiti Tun Hussein Onn Malaysia, Universiti Malaysia Pahang, and the University of Manchester, underscoring his role as a global academic contributor in chemistry, nanotechnology, and membrane science.

 Profile: Scopus

Featured Publication

Abid, M. B. (Year). Exploring AlUla, Saudi Arabia: A journey through history, heritage, resources, and tourism. Journal Name, Volume(Issue), pages..

Joel Freidy Ebolembang | Complex Systems | Best Researcher Award

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Mr. Joel Freidy Ebolembang | Complex Systems
| Best Researcher Award

Mr. Joel Freidy Ebolembang | National Higher Polytechnic School of Douala | Cameroon

Mr. Joel Freidy Ebolembang is a dynamic PhD candidate in his third year at the Energy, Materials, Modeling, and Methods Laboratory of the National Higher Polytechnic School of Douala, Cameroon, where his research focuses on the innovative use of artificial intelligence and simulation for the control and diagnostics of dual-fuel engines. Holding a Master’s degree in Energy Research and an Engineering degree in Mechanical Construction, he has developed strong expertise in modeling, deep learning, and energy optimization, positioning himself at the intersection of mechanics, energy, and artificial intelligence. His academic journey has been enriched with advanced projects, including the study of diesel engine performance and the modeling of fatigue wear in automotive brake pads. He has published in reputable journals such as International Journal of Heat and Technology and Applied Sciences, and is actively working on novel applications of neural networks for intelligent diagnostics of diesel engines. Alongside his research, he has practical professional experience as an Assistant Train Driver at Camrail since 2020, where he ensures the safe and efficient operation of critical mechanical systems. Proficient in advanced engineering software like Ansys, OpenFOAM, Matlab, SolidWorks, and programming frameworks such as TensorFlow, PyTorch, and Keras, Joel demonstrates versatile technical competence. His research areas encompass CFD modeling, predictive diagnostics, and intelligent control of mechatronic systems, contributing to sustainable mobility and cleaner energy solutions. A shortlisted nominee for the Best Researcher Award, he exemplifies academic excellence, innovation, and dedication to advancing knowledge at the interface of engineering and artificial intelligence, with aspirations to drive impactful contributions in energy optimization and sustainable technologies.

 Profile: ORCID

Featured Publications

Applied Sciences (2025)
Ebolembang, J. F., Nkol, F. P. N., Tabejieu, L. M. A., Nono, F. T., & Abbe, C. V. N. (2025). Prediction of combustion parameters and pollutant emissions of a dual-fuel engine based on recurrent neural networks. Applied Sciences, 15(18), 9868.

International Journal of Heat and Technology (2023)
Nkol, F. P. N., Ebolembang, J. F., Banta, N. J. I., Yotchou, G. V. T., Abbe, C. V. N., & Mouangue, R. M. (2023). Simulating the effect of methanol and spray tilt angle on pollutant emission of a diesel engine using different turbulence models. International Journal of Heat and Technology, 41(5), 105–1120.

Sattar Ezzati | Transportation Systems | Best Researcher Award

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Prof. Sattar Ezzati | Transportation Systems | Best Researcher Award

Prof. Sattar Ezzati | Gorgan University of Agricultural Sciences and Natural Resources | Iran

Prof. Sattar Ezzati is an accomplished scholar in forest engineering and natural resource management, currently serving as Assistant Professor at Gorgan University of Agricultural Sciences and Natural Resources, Iran. With a strong academic foundation including a Ph.D. in Forest Engineering from Tarbiat Modares University and a Postdoctoral Fellowship at Université Laval, Canada, he has built expertise in forest logistics, biomass supply chains, bioenergy systems, and sustainable resource management. His research integrates mathematical modeling, operations research, and machine learning algorithms to optimize timber harvest scheduling, biomass procurement, and eco-efficient forest operations. He has contributed to cutting-edge projects on biochar production, GHG emissions reduction, biomass-to-bioenergy logistics, and participatory forest planning, with extensive field studies in steep-slope and ecologically sensitive regions. Prof. Ezzati has authored 18 peer-reviewed documents, with 194 citations across 171 indexed sources (h-index: 8), and actively reviews for leading international journals in forestry, sustainability, and environmental engineering. His global engagements include research visits in Sweden, Canada, the USA, and Austria, supported by competitive grants and fellowships. Recognized with awards such as the National Elites Institute Award and Young Assistant Professors Award, he continues to advance forest-based bio-economy and sustainable ecosystem management, mentoring Ph.D. and master’s students in innovative forestry research.

 Profile: Google Scholar | Scopus

Featured Publications

Ghanji Vatan, A., Ezzati, S., Tavankar, F., & Rahmani, R. (2025). The effect of skid trail designs on the recovery of soil physical properties. Forest Research and Development.

Jaddi Hosseini, S. A. R., Parsakhoo, A., Ezzati, S., & Rezaei Motlagh, A. (2025). The effect of using agricultural waste ash on improving the mechanical properties of forest roadbed soil. Forest Research and Development.

Ganji, A., Ezzati, S., Tavankar, F., & Rahmani, R. (2025). Assessment of the recovery of compacted soil physical properties after skidding operations in Kuhmian forests in Golestān province. Journal of Water and Soil Conservation.

Ezzati, S., Malek, I., Tavankar, F., & Parsakhoo, A. (2025). The role of management practices and trail layouts on postharvest healing of residual trees in mountain broadleaves forests. European Journal of Forest Research, 144(3), 621–633.

Ezzati, S. M. H. N. (2025). Long-term prediction of wound closure in residual damaged trees using Markov chain analysis. Biosystem Engineering, 254.

Norouzi Sangtabi, A., Parsakhoo, A., Ezzati, S., & Mostafa, M. (2025). Forest road network planning based on topological measures in Hyrcanian recreational forest parks using graph theory. Iranian Journal of Forest, 16(5), 87–98.

Truptimala Pattanik | Civil Engineering | Young Scientist Award

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Prof. Truptimala Pattanik | Civil Engineering
| Young Scientist Award

Prof. Truptimala Pattanik | Gandhi Institute of Engineering and Technology | India

Prof. Truptimala Pattnaik is a highly accomplished Structural Engineer with over a decade of expertise in academia and industry, specializing in STAAD.Pro-based RCC building design, seismic analysis, and BIM-integrated workflows. Currently serving as Structural Engineer at BIMedge Pvt. Ltd., Bhubaneswar, she leads the design of residential and commercial RCC structures (G+3 to G+10), delivering client-ready reports, BOQs, . She has demonstrated proficiency in advanced concrete design under seismic loads, BIM modeling in OpenBuildings Designer, Revit, and iTwin, and coordination with multidisciplinary teams, while also mentoring junior engineers and conducting certified STAAD.Pro training workshops. Previously, as HOD and Assistant Professor at Gandhi Engineering College, she introduced practical design modules, collaborated with consultancy firms for live project exposure, and guided final-year student teams in BIM and structural workflows. Earlier at GIET University, she supervised 25+ RCC projects and conducted research on sustainable materials and reinforced concrete behavior under dynamic loading. Holding an M.Tech in Structural Engineering from GIET and a B.Tech in Civil Engineering from BPUT, she is certified across multiple platforms including STAAD, Tekla, ETABS, and Bentley OpenBuildings, and has received recognition such as the UltraTech Cement Dronacharya Award (2023).

 Profile: Google Scholar

Featured Publications

  • Pattnaik, T., Mohanta, N. R., Patel, N., Biswal, P., & Moharana, R. K. (2018). Manufacture of interlocking concrete paving blocks with fly ash and glass powder. International Journal of Engineering Science Research and Technology, 7(1), 604–612.

    Rout, S., Rout, R. K., Sahoo, S. K., Mandal, B. K., Das, L. K., Gantayat, B. P., Das, S., & Pattnaik, T. (2024). Constraints faced by the farmers in the production and marketing of onions in the western undulating zone of Odisha, India. Archives of Current Research International, 24(11), 202–209.

    Pattnaik, T. M., Samanta, R., & Padhy, S. (2021). Partial replacement of fine aggregates in cement mortar by using pond ash and development of low-cost tiles. Journal of Civil & Environmental Engineering, 11(1).

    Behera, S., Pattnaik, T. M., & Baishakhi, N. (2020). Flyash based papercrete building brick as a new building material. International Journal of Engineering Science and Computing, 10(24663–24666).

 

Peng Liu | Smart Cities | Best Researcher Award

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Prof. Dr. Peng Liu | Smart Cities | Best Researcher Award

Prof. Dr. Peng Liu | Guangzhou Maritime University | China

Prof. Dr. Peng Liu, Professor and Doctor of Engineering at Guangzhou Maritime University, is a distinguished academic and researcher specializing in intelligent transportation, big data, artificial intelligence, and autonomous driving. He graduated from Tongji University with a major in Transportation Planning and Management and currently serves as a Master’s Supervisor at Guangdong University of Technology. In addition to his academic role, he contributes as an Outdoor Consulting Expert for the Guangdong Provincial Government, Science and Technology Evaluation Expert of Guangdong Province, Evaluation Expert at Guangzhou Public Resource Trading Center, and Comprehensive Evaluation Database Expert of Guangdong Province. Over his career, he has led and participated in more than 30 research projects, including 10 national and provincial initiatives, and has published over 40 scholarly works, among them 23 papers indexed in SCI, EI, and core journals, along with five academic monographs. His notable contribution, the policy report Suggestions on Promoting the Integrated Development of Multi-level Rail Transit in the Guangdong-Hong Kong-Macao Greater Bay Area, was officially adopted by the Guangdong Provincial Government and later advanced to the Counselor’s Office of the State Council of China, influencing major transportation policy decisions and promoting high-level collaborations between provincial and national transport authorities.

 Profile: ORCID

Featured Publication

  • Liu, P., Pan, Z., Fan, Z., & Wang, X. (2025). The impact of weather on shared bikes. Applied Sciences, 15(17), 9834.

Mohamed Ali Ghalib | DC microgrids | Best Researcher Award

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Assist. Prof. Dr. Mohamed Ali Ghalib | DC microgrids
| Best Researcher Award

Assist. Prof. Dr. Mohamed Ali Ghalib | Beni-Suef university | Egypt

Assist. Prof. Dr. Mohamed Ali Ghalib Egypt, is an Associate Professor in the Department of Electrical Technology, Faculty of Technology and Education at Beni-Suef University, Egypt. With a strong academic foundation, he holds a Ph.D. in Electrical Power and Machines Engineering from Beni-Suef University, an M.Sc. in the same field from Suez Canal University, and dual B.Sc. degrees from Beni-Suef University and Helwan University, both with very good standing. His research expertise lies in renewable energy, power systems, electrical machines, photovoltaic applications, and microgrid power management. Dr. Ghalib’s M.Sc. thesis focused on the control of inverters for photovoltaic applications, while his Ph.D. addressed power management of low-voltage DC microgrids. He has authored and co-authored 17 scientific publications, earning 121 citations across 98 documents, with an h-index of 6, reflecting the scholarly impact of his work. His notable contributions include advancements in space vector PWM, fuzzy logic-based MPPT controllers, adaptive droop control for microgrids, and inverter design for PV systems, published in international journals and conferences such as MEPCON and the Australian Journal of Electrical and Electronics Engineering. As a dedicated academic, he continues to bridge research and education, fostering innovation in sustainable energy systems.

 Profile:  Google Scholar | Scopus

Featured Publications

  • Ghalib, M. A., Abdalla, Y. S., & Mostafa, R. M. (2014, April). Design and implementation of a pure sine wave single phase inverter for photovoltaic applications. 2014 ASEE Zone 1 Conference, Bridgeport, CT, USA.

  • Shehata, E. G., Thomas, J., Mostafa, R. M., & Ghalib, M. A. (2018, December). An improved droop control for a low voltage DC microgrid operation. In Proceedings of the Twentieth International Middle East Power Systems Conference (MEPCON) (pp. 775–780). Cairo, Egypt. IEEE.

  • Ghalib, M. A., Shehata, E. G., Thomas, J., & Mostafa, R. M. (2019). Adaptive droop control for high-performance operation in low-voltage DC microgrids. Electrical Engineering, 101(4), 1311–1322.

  • Hamad, S. A., & Ghalib, M. A. (2024). Fuzzy MPPT operation-based model predictive flux control for linear induction motors. International Journal of Hydrogen Energy, 50(2), 1035–1044.

  • Ghalib, M. A., & Samy, M. M. (2021, December). Magnification of performance operation for low voltage DC microgrids based on adaptive droop control technique. In 2021 22nd International Middle East Power Systems Conference (MEPCON) (pp. 424–429). Mansoura, Egypt.

 

Ananya Srivastava | Specialized and Interdisciplinary Fields | Best Researcher Award

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Mr. Ananya Srivastava | Specialized and Interdisciplinary Fields
| Best Researcher Award

Mr. Ananya Srivastava | Hahn-Schickard Society for Applied Research | Germany

Mr. Ananya Srivastava is a Project Leader (PMP®) and scientific researcher at Hahn-Schickard-Gesellschaft, Germany, specializing in MEMS-based acoustic and photoacoustic sensors with strong expertise in cross-functional R&D, project management, and technology transfer. He has successfully led EU and industry-funded projects, resulting in four patents, seven publications, and recognition through 14 citations by 7 documents with an h-index of 2. His research and development contributions span novel gas-sensing platforms, process and layout design, FEM simulations, sensor packaging, and multidisciplinary product innovation bridging academia and industry. He has authored works on CO₂ gas sensing, photoacoustic sensor modeling, and MEMS resonator optimization, published in reputed conferences and journals including IEEE Sensors, Smart Systems Integration, and MDPI Gases. With a PhD in Microsystems Engineering in progress at Albert-Ludwigs-Universität Freiburg and a strong foundation in electrical and electronics engineering, Mr. Srivastava combines academic depth with industrial experience gained at Bosch and IMTEK Freiburg. His technical expertise covers CAD design, prototyping, readout electronics, optical and acoustic laboratory testing, and metrology techniques. Fluent in English, with working knowledge of German and native Hindi, he is also experienced in mentoring students, data-driven modeling, and advancing sensor technology solutions for practical, high-impact applications in automotive, environmental, and industrial domains.

 Profile:  Google Scholar | Scopus

Featured Publications

  • Srivastava, A., Tian, Y., Bittner, A., & Dehé, A. (2022). Design and characterization of macroscopic indirect photoacoustic gas sensor. 2022 IEEE Sensors, 1–4.

  • Zhang, N., Srivastava, A., Li, X., Li, Y., Zhou, Z., Bittner, A., Zhou, X., & Dehé, A. (2023). Design and evaluation of a miniaturized non-resonant photoacoustic CO₂ gas sensor with integrated electronics. 2023 IEEE Sensors, 1–4.

  • Srivastava, A., Sharma, P., Sikora, A., Bittner, A., & Dehé, A. (2024). Temporal behavior analysis for the impact of combined temperature and humidity variations on a photoacoustic CO₂ sensor. 2024 IEEE Applied Sensing Conference (APSCON), 1–4.

  • Srivastava, A., Sharma, P., Sikora, A., Bittner, A., & Dehé, A. (2024). Data-driven modelling of an indirect photoacoustic carbon dioxide sensor. 2024 IEEE Applied Sensing Conference (APSCON), 1–4.

  • Bittner, A., Dehé, A., & Srivastava, A. (2024). Method for enclosing reference gases in MEMS cells. (U.S. Patent Application No. 18/548,517).

  • Srivastava, A., Bittner, A., & Dehé, A. (2024). Development of an indirect photoacoustic sensor concept for highly accurate low-ppm gas detection. Proceedings, 97(1), 76.