Xin Chen | Statistical Applications in Engineering | Best Researcher Award

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Dr. Xin Chen | Statistical Applications in Engineering | Best Researcher Award

Hainan University | China

Dr. Xin Chen is a distinguished petroleum engineering researcher currently serving as an Associate Researcher at the School of Marine Science and Engineering, State Key Laboratory of Marine Resource Utilization in the South China Sea, Hainan University. He obtained his Bachelor’s and Master’s degrees in Petroleum and Drilling Engineering from the China University of Petroleum, East China, and earned his Doctor of Philosophy in Petroleum Engineering from the University of Alberta. His research integrates theoretical modeling and experimental analysis to address complex challenges in gas hydrate systems, marine carbon sequestration, multiphase flow thermodynamics, enhanced oil recovery, polymer modification, and well cementing technologies. Dr. Chen has contributed significantly to advancing hydrate equilibrium calculations, cement slurry stability, and hydrocarbon phase behavior modeling. His prolific academic output includes numerous publications in top-tier journals such as Chemical Engineering Science, Fluid Phase Equilibria, Construction and Building Materials, SPE Journal, Energy, and Journal of Physical Chemistry C. In addition to his journal papers, he is a co-inventor on multiple international and national patents focusing on high-temperature and low-temperature well cementing systems, thermal-thickening stabilizers, and self-generating nitrogen foamed cement technologies. Dr. Chen has actively participated in several major research projects related to CO₂ sequestration in marine sediments, advanced reservoir fluid modeling, and wellbore cementing performance optimization, collaborating with both academic and industrial partners. He also serves as a peer reviewer for leading journals including Fuel, Engineering, Petroleum Science, and Construction and Building Materials, demonstrating his commitment to maintaining high standards in scientific publishing. According to Scopus, Dr. Xin Chen’s academic profile reflects a robust research impact with an h-index of 14, 26 documents, and more than 488 citations, signifying his growing global recognition in petroleum and energy engineering research.

Profiles: Scopus | Orcid

Featured Publications

Yang, H., Li, H., Xu, H., Wang, R., Zhang, Y., Xing, L., Chen, X., Peng, L., Kang, W., & Sarsenbekuly, B. (2026). Enhanced CO2 foam stabilization with fluorescent nano polymer microspheres for improved oil recovery: Insights from microscopic and macroscopic displacement studies. Geoenergy Science and Engineering.

Jiang, H., Yang, H., Ning, C., Peng, L., Zhang, S., Chen, X., Shi, H., Wang, R., Sarsenbekuly, B., & Kang, W. (2025). Amphiphilic polymer with ultra-high salt resistance and emulsification for enhanced oil recovery in heavy oil cold recovery production. Geoenergy Science and Engineering.

Yufeng Jiang | Statistical Applications in Engineering | Best Researcher Award

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Assoc Prof. Dr. Yufeng Jiang | Statistical Applications in Engineering | Best Researcher Award

Ocean University of China | China

Assoc Prof. Dr. Yufeng Jiang is an Associate Professor at the Ocean University of China, specializing in the health monitoring and safety assessment of offshore and marine engineering structures. With a strong academic foundation from the Ocean University of China, he has dedicated his career to advancing intelligent damage diagnosis methods that can directly utilize incomplete information while maintaining high noise robustness. He innovatively developed an iterative two-stage damage identification methodology capable of simultaneously locating structural damage and assessing its severity. Dr. Jiang has designed a hardware network of fiber optic sensors for condition monitoring of deepwater pressure-resistant subsea structures and created an intelligent structural health monitoring and early warning system, which has been successfully applied in a 500-meter deep-sea mixed-transport system demonstration project. His research has led to 20 Documents , 10 patents, and collaboration on three major research projects, resulting in a citation count of 111 and an h-index of 6, reflecting the significant impact of his work. Additionally, he has contributed to two consultancy projects and maintained collaborations across multiple institutions, consistently translating innovative research into practical engineering applications. Dr. Jiang continues to advance the field of marine structural safety with a focus on applied intelligence and robust monitoring solutions.

Profiles: Scopus  | Orcid

Featured Publications

Liu, Y., Wang, S., Jiang, Y., & Du, J. (2025). A spatial deformation reconstruction method of deep-sea mining riser from sparse inclination measurements. Ocean Engineering.

Wang, C., Luo, D., Guo, Y., Zheng, Z., Jiang, Y., & Du, J. (2025). A novel stochastic model updating method for offshore platforms based on Kriging model with active learning. Ocean Engineering.

Jiang, Y., Ma, C., Wang, S., & Li, Y. (2024). A novel evolutionary algorithm for structural model updating with a hybrid initialization and multi-stage update strategy. Ocean Engineering.

Jiang, Y., Liu, Y., Wang, S., & Rakicevic, Z. (2024). Structural damage classification in offshore structures under environmental variations and measured noises using linear discrimination analysis. Structural Control and Health Monitoring.

Liu, Y., Jiang, Y., Zhao, H., Wang, S., & Han, J. (2023). Experimental investigation on vortex-induced vibration characteristics of a segmented free-hanging flexible riser. Ocean Engineering.

Shujie Chang | Environmental and Climate Statistics | Best Researcher Award

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Assoc Prof. Dr. Shujie Chang | Environmental and Climate Statistics | Best Researcher Award

Guangdong Ocean University | China

Assoc Prof. Dr. Shujie Chang is an accomplished Associate Professor and supervisor of master’s students at the College of Ocean and Meteorology, Guangdong Ocean University, China, with extensive experience in atmospheric and climate sciences. His research focuses on understanding the complex interactions between the stratosphere and troposphere, with particular emphasis on gravity wave processes, ENSO dynamics, high-latitude and tropical teleconnections, and the factors influencing stratospheric ozone over the Tibetan Plateau. Dr. Chang has made significant contributions to modeling these interactions using advanced climate and weather simulation models, satellite observations, and data assimilation techniques. He has led multiple major research projects funded by national and provincial foundations, highlighting his leadership and expertise in the field. With over 20 peer-reviewed publications, his research has garnered notable attention, reflected in an h-index of 6 and approximately 85 citations, demonstrating both the impact and relevance of his work. In addition to his research achievements, he has served as a reviewer for numerous scientific journals and as a Guest Editor for the journal Atmosphere. Dr. Chang is also recognized for his dedication to teaching, having received multiple awards for excellence in instruction, and his contributions have been further acknowledged through prestigious honors such as the Guangdong Province Outstanding Young Meteorological Science and Technology Award.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Tushar Bhoite | Bayesian Networks and Decision Theory | Best Researcher Award

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Dr. Tushar Bhoite | Bayesian Networks and Decision Theory | Best Researcher Award

Dr. Tushar Bhoite | MES’s Wadia College of Engineering | India

Dr. Tushar Devidas Bhoite, Ph.D. in Mechanical Technology, M.E. in Machine Design, with over sixteen years of professional experience (including twelve in the automobile industry and four in academics), is a leading researcher and practitioner in integrating advanced IT technologies in auto-component manufacturing. His research interests encompass Industry 4.0, Industrial Internet of Things (IIoT), Digital Twin systems, Generative AI, predictive maintenance, neural and Bayesian networks, real-time monitoring, optimization and efficiency improvements in production environments. To date, he has authored 6 international journal papers and 3 international conference papers, co-authored 2 textbooks, and filed 2 patents, contributing to both theoretical and applied advancements. His master’s project, awarded from RGSTC Mumbai, stands as a landmark in his research portfolio, he has an h-index of 1 and over 1 citations as per his Scopus profile, reflecting strong scholarly impact. In his industrial roles, Dr. Bhoite has successfully led IOT implementations in assembly and press shops, improved Overall Equipment Effectiveness, standardized work systems, deployed TPM and Kaizen methodologies, and developed innovative solutions such as a wet-waste treatment machine. He currently serves as Assistant Professor in Automation & Robotics Engineering at MES’s Wadia College of Engineering, Pune, and continues consulting in production efficiency, resource optimization, and technology integration in manufacturing enterprises.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Bhoite, T. D., Pawar, P. M., & Gaikwad, B. D. FEA based study of effect of radial variation of outer link in a typical roller chain link assembly. International Journal of Mechanical and Industrial Engineering, 1, 65–70.

Bhoite, T. D., & Buktar, R. B. (2025). Productivity enhancement in Indian auto component manufacturing supply chain with IoT using neural networks. Production, 35, e20240047.

Bhoite, T. D., Buktar, R. B., Mahalle, P. N., Khond, M. P., Pise, G. S., & More, Y. Y. (2025). Productivity enhancement in the Indian auto component manufacturing supply chain through IoT, digital twins with generative AI, and stacked encoder-enhanced neural networks. Operations Research Forum, 6(4), 143.

Bhoite, D. T., & Buktar, R. (2025). An investigation into revolutionizing auto component manufacturing: An IoT-based approach for improved productivity and waste elimination. Journal of Information Systems Engineering and Management, 10(9s), 409–429.

Bhoite, D. T., Buktar, R., & Kannukkadan, G. (2024). Leveraging IoT in auto component manufacturing to monitor surface roughness and tool temperature. Journal of Electrical Systems, 20(2s), 563–574.*

Fazal Haq | Mathematical Statistics | Best Researcher Award

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Dr. Fazal Haq | Mathematical Statistics | Best Researcher Award

Dr. Fazal Haq | Karakoram International University | Pakistan

Dr. Fazal Haq is a highly accomplished academician and researcher, serving as a permanent faculty member in the Department of Mathematical Sciences at Karakoram International University (KIU), Gilgit-Baltistan, Pakistan. He earned his M.Sc. and Ph.D. in Applied Mathematics from KIU, and an M.Phil. from Sindh University, Jamshoro, consistently demonstrating exceptional academic performance, including securing the first position in his M.Sc. examinations and receiving both a Gold Medal and an Academic Excellence Award from KIU. Dr. Haq’s research spans a wide range of topics, including fluid mechanics, non-Newtonian fluids, magnetohydrodynamics, entropy generation, bioconvection, and nanofluid dynamics, with a particular focus on mathematical modeling, theoretical analysis, and computational simulations of complex fluid flows. Over the years, he has published more than 51 high-impact, peer-reviewed articles in internationally recognized journals, contributing significantly to advancing applied and computational mathematics. His work has garnered considerable attention from the scientific community, reflected in his h-index of 13 and a 616 of citations, underscoring the relevance and influence of his research. Dr. Haq is also a dedicated educator and mentor, inspiring students through his innovative teaching methods and fostering a research-oriented environment. His sustained commitment to scientific excellence and knowledge dissemination continues to make a meaningful impact both nationally and internationally.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Haq, F., Saleem, M., & Rahman, M. U. (2025). Optimization of entropy in bioconvective and reactive micropolar nanofluid flow with Arrhenius kinetics. CFD Simulation.

Saleem, M., Haq, F., Ghazwani, H. A., Ghazwani, M. H., & Alnujaie, A. (2025). Mathematical modeling and theoretical investigation of entropy generation in bioconvective micropolar hybrid nanofluid flow with activation energy and Lorentz force. ZAMM – Journal of Applied Mathematics and Mechanics, 105(10).

Khouqeer, G. A., Haq, F., Rahman, M. U., & Sallah, M. (2025). An investigation of thermo-bioconvective ternary hybrid nanofluid flow over rotating disk subject to activation energy. Journal of Thermal Analysis and Calorimetry.

Haq, F., Saleem, M., Ghazwani, H. A., Ghazwani, M. H., & Alnujaie, A. (2025). Dynamics of radiated and stratified natural bioconvective flow of cross hybrid nanomaterial with Darcy–Forchheimer and Lorentz force. ZAMM – Journal of Applied Mathematics and Mechanics, 105(9).

Saleem, M., Khouqeer, G. A., Haq, F., AbdelAll, N., Hussain, A., & Sallah, M. (2025). Implications of thermal stratification and radiative heat flux in blood-based ternary and dihybrid nanomaterial flow through a stretchable cylinder. Case Studies in Thermal Engineering, 42,

Ching Chih Tsai | Fuzzy Statistics and Uncertainty Modelling | Best Researcher Award

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Prof. Ching Chih Tsai | Fuzzy Statistics and Uncertainty Modelling | Best Researcher Award

Prof. Ching Chih Tsai |  National Chung Hsing University | Taiwan

Prof. Ching Chih Tsai is a distinguished academic in electrical engineering and control systems, currently serving as a Life Distinguished Professor at the Department of Electrical Engineering, National Chung Hsing University (NCHU), Taiwan. He earned his Ph.D. from Northwestern University in 1991. Dr. Tsai has held significant leadership roles, including serving as the President of the Chinese Automatic Control Society (CACS), the Robotics Society of Taiwan (RST), and the International Fuzzy Systems Association (IFSA). He has also been a Board of Governors member of IEEE Systems, Man, and Cybernetics Society (SMCS) and is currently the Dean of the College of Electrical Engineering and Computer Science at NCHU. An IEEE Fellow, his research focuses on intelligent control systems, mobile robotics, and automation intelligence. Dr. Tsai has published over 700 technical articles, with more than 20 in the International Journal of Fuzzy Systems since 2005. His recent work includes a 2025 paper on intelligent adaptive formation control for multi-quadrotors, introducing a hybrid controller combining Output Recurrent Fuzzy Broad Learning Systems (ORFBLS), reinforcement learning, and adaptive backstepping sliding mode control. According to Scopus, he has an h-index of 29, with 3,902 citations from 272 documents.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Rospawan, A., Tsai, C.-C., & Hung, C.-C. (2025). Two-layer intelligent learning control using output recurrent fuzzy neural long short-term memory broad learning system with RMSprop. IEEE Access.

Tsai, C.-C., Hung, C.-C., Mao, C.-F., Wu, H.-S., & Chen, C.-H. (2025). Fuzzy neural LSTM-RBLS for fractional-order PID sliding-mode motion control of autonomous mobile robots with four ISID wheels. International Journal of Fuzzy Systems.

Tsai, C.-C., Mao, C.-F., & Hussain, K. (2025). Intelligent adaptive formation control using ORFBLS and reinforcement learning for uncertain tilting multi-quadrotors. International Journal of Fuzzy Systems. =

Rospawan, A., Tsai, C.-C., & Hung, C.-C. (2025). Intelligent MIMO ORFBLS-based setpoint tracking control with its application to temperature control of an industrial extrusion barrel. International Journal of Fuzzy Systems.

Tsai, C.-C., Huang, H.-C., Chen, H.-Y., Hung, C.-C., & Chen, S.-T. (2024). Intelligent collision-free formation control of ball-riding robots using output recurrent broad learning in industrial cyber-physical systems. IEEE Transactions on Industrial Cyber-Physical Systems.

Seyed Abolfazl Hosseini | Statistical Modeling and Simulation | Best Researcher Award

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Dr. Seyed Abolfazl Hosseini | Statistical Modeling and Simulation | Best Researcher Award

Dr. Seyed Abolfazl Hosseini | Islamic Azad University | Iran

Dr. Seyed Abolfazl Hosseini is an accomplished electrical engineer and academic whose work seamlessly integrates communications systems, signal processing, machine learning, and remote sensing. He earned his Ph.D. in Communications Systems Engineering from Tarbiat Modares University, following an M.Sc. from K. N. Toosi University and a B.Sc. in Control Engineering from Sharif University of Technology. Over his academic career, he has held leadership roles including Dean of the Electrical & Electronics Research Centre, head of the Communications Engineering Department, and overseen more than 35 M.Sc. theses and 5 Ph.D. dissertations. According to his publication record encompasses more than 5 documents, and his works have been cited over 18 times, with an h-index of 3. He has published in top journals on topics such as MIMO-UFMC system optimization, hyperspectral image classification, blind watermarking, and nonparametric density estimation. Beyond research, he has directed industry projects in IoT, AI, surveillance, and power systems, and contributed to drafting technical standards for electricity markets. Dr. Hosseini is proficient in MATLAB, Python, and advanced mathematics including stochastic processes, linear algebra, fractal theory, and graph theory. He continues to blend theory with practice, driving innovation and teaching the next generation of engineers.

Profiles: Scopus | Orcid | ResearchGate

Featured Publications

Hassan Abdollahpour, H., Hosseini, S. A., Raeisi, N., & Azam, F. 3D geometry modeling method for MIMO communication systems using correlation coefficients. Journal of Computer Networks and Communications.

Aghamiri, H. R., Hosseini, S. A., Green, J. R., & Oommen, B. J. Nonparametric probability density function estimation using the Padé approximation. Algorithms.

Asgharnia, M., Hosseini, S. A., Shahzadi, A., Ghazi-Maghrebi, S., & Shaghaghi Kandovan, R. Optimization framework for user clustering, beamforming design and power allocation in MIMO-UFMC systems. IEEE Access.

Khalili, F., Razzazi, F., & Hosseini, S. A. Registration of remote sensing images by the combination of complex nonlinear diffusion and phase congruency attributes. Journal of the Indian Society of Remote Sensing.

Hosseini, S. A., et al. A simple method to prepare and characterize optical fork-shaped diffraction gratings for generation of orbital angular momentum beams. Journal of Optics.

Mr. Abhay Kumar | Design of Experiments (DOE) | Best Researcher Award- 11390

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Mr. Abhay Kumar | Design of Experiments (DOE) | Best Researcher Award

Mr. Abhay Kumar | Sardar Vallabhbhai National Institute of technology | India

Dr. Abhay Kumar is a Ph.D. Research Scholar and Senior Consultant at Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, specializing in Environmental Engineering with a particular focus on solid and liquid waste management. With over 3.5 years of professional experience, he has successfully managed and executed a wide range of projects, including solid waste management, wastewater treatment, waste-to-energy solutions, plastic and legacy waste handling, leachate treatment, and agricultural waste utilization. He has significantly contributed to the development of patented technologies and innovative methodologies for scientific disposal and treatment of industrial and municipal wastes. Dr. Kumar has published numerous research papers in highly reputed journals and international conferences, with an h-index of 1 and a total of approximately 2 citations, reflecting the impact and recognition of his scholarly work in the field of environmental engineering. Beyond his research, he is actively involved in community development initiatives under the Unnat Bharat Abhiyan, implementing sustainable waste management practices in rural areas near Surat. His professional expertise includes environmental impact assessments, preparation of detailed project reports (DPRs), stakeholder engagement, technical supervision, and capacity building. Dr. Kumar is committed to advancing sustainable and practical solutions in waste management while bridging the gap between research, policy, and field implementation to promote environmental sustainability.

Profiles: Scopus | Orcid | LinkedIn

Featured Publications

Kumar, A., Yadav, K., & Kumar, S. Comprehensive review on technological advances in landfill leachate management: Physio-chemical characteristics, treatment method and cost analysis. Bioresource Technology Reports, 102222.

Kumar, A., Bhatt, A. D., & Yadav, K. D. Sequential treatment of MSW landfill leachate by primary treatment followed by gravel and ZVI filter media as filter technique. In P. Janardhan, P. Choudhury, & D. N. Kumar (Eds.), Water and Environment, Volume 2. ICWROEE 2024. Lecture Notes in Civil Engineering (Vol. 414). Springer, Singapore.

Kumar, A., & Yadav, K. D. Combined treatment of hazardous waste landfill leachate through electrocoagulation followed by UV process. Paper presented at the 1st International Conference on Environmental Science and Technology 2024, NIT Surat.

Kumar, A., Yadav, K. D., & Kumar, S. MSW landfill leachate color removal by using coagulation and flocculation followed by filtration processes. Paper presented at the International Symposium on Sustainable Waste Management 2023, Department of Mechanical Engineering, Institute of Engineering & Management, Kolkata.

Kumar, A., Jain, P., Mishra, S., & Yadav, K. D. Effect of turbulence on settlement rate of cohesive sediments. Paper presented at the 55th IWWA Annual Convention, Pune.

Fatih kirbiyik | Statistical Applications in Engineering | Best Researcher Award

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Dr. Fatih kirbiyik | Statistical Applications in Engineering | Best Researcher Award

Dr. Fatih kirbiyik | Adiyaman university | Turkey

Dr. Fatih Kirbiyik is a Turkish academic specializing in thermal barrier coatings (TBCs), particularly focusing on functionally graded Al₂O₃/CYSZ systems. He earned his Ph.D. in Metallurgical and Materials Engineering from Istanbul Technical University (ITU) . His doctoral research centered on evaluating the CMAS (Calcium–Magnesium–Alumino-Silicate) and hot corrosion resistance of these TBCs. Dr. Kirbiyik has held academic positions at ITU and served as a visiting researcher at Dublin City University. His work has been recognized with several awards, including the TÜBİTAK Publication Encouragement Award and the Istanbul Technical University Publication Encouragement Award. He has contributed to multiple peer-reviewed journals and conferences, with his research being cited over 80 times. Notably, his publication on the application of thermal gradient and thermal cycling tests to Al₂O₃/CYSZ functionally graded TBCs has been cited 67 times in Scopus. Dr. Kirbiyik’s h-index is 4, with an i10-index of 3, indicating a growing influence in his field. His expertise encompasses materials characterization, plasma spraying, and laser surface modification techniques. Beyond his academic pursuits, he has a keen interest in music and travel.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Kirbiyik, F., Gok, M. G., & Goller, G. Application of thermal gradient and thermal cycling tests to Al2O3/CYSZ functionally graded TBC in the presence of simultaneous hot corrosion and CMAS effects. Surface and Coatings Technology, 444, 128688.

Pakseresht, A., & Mosas, K. K. A. Ceramic coatings for high-temperature environments. In From thermal barrier to environmental barrier applications (p. 491).

Kirbiyik, F., Gok, M. G., & Goller, G. Recent developments on Al2O3-based thermal barrier coatings. In Ceramic coatings for high-temperature environments: From thermal barrier to environmental barrier applications (p. 5).

Kirbiyik, F. Laser surface modification of Al2O3/CYSZ functionally graded TBC against CMAS and hot corrosion damage. Lasers in Manufacturing and Materials Processing, 1–20.

Kirbiyik, F. Microstructural and mechanical investigation of CYSZ/MCrAlY thermal barrier coatings: A comparison of APS and SPS processes. Journal of the Australian Ceramic Society, 1–9.

Ujjwal Das | Health Statistics and Public Health Analysis | Best Researcher Award

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Dr. Ujjwal Das | Health Statistics and Public Health Analysis | Best Researcher Award

Dr. Ujjwal Das | Fakir Mohan University | India

Dr. Ujjwal Das is an accomplished academic and researcher serving as an Assistant Professor (Temporary) in the Department of Geography at Fakir Mohan University, Balasore, Odisha. He holds a Ph.D. in Geography from Rajiv Gandhi University, Arunachal Pradesh, focusing on medical demography and the socio-economic correlates of morbidity among the elderly population in West Bengal. He also earned an M.Phil. and Master’s degree in Population Studies from the International Institute for Population Sciences (IIPS), Mumbai, where he developed expertise in demographic and statistical research, and is a gold medalist in Applied Geography from Ravenshaw University. His academic base was built at Bankura Christian College under the University of Burdwan, West Bengal. Dr. Das’s research encompasses social determinants of population health, geospatial analysis of population, environment and health, mortality and fertility dynamics, migration, and public health policy. He has published over fourteen peer-reviewed papers in reputed international journals and contributed five book chapters, with his scholarly works receiving around 37 citations, 9 indexed documents, and an h-index of 3 according to bibliometric databases. A frequent participant in national and international conferences, he has presented numerous papers across India and abroad, including in Dubai. Skilled in SPSS, STATA, R, ArcGIS, MORTPAK, Spectrum, and GEODA, he integrates quantitative and spatial techniques in social science research. Multilingual in Bengali, English, Odia, and Hindi, Dr. Das actively engages in faculty development initiatives and interdisciplinary projects bridging geography, demography, and public health to address pressing developmental challenges in contemporary India.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Das, U. (2025). Is virginity a matter of dignity or a lack of opportunity? Exploring the paradoxical relationship between premarital sex and education among youth in India. Sexuality & Culture.

Das, U., & Kar, N. (2025). Understanding economic disparities in elderly health outcomes: A decomposition analysis in Bankura district. BMC Public Health.

Ahamad, V., & Das, U. (2025). Health on the move: Cardiovascular disease risk among ageing male migrants in India. Archives of Gerontology and Geriatrics Plus.

Das, U., Das, R. K., Saha, K. K., Murmu, L. B., Banerjee, S., & Nag, R. (2025). Buckling resistance of various pathfinding endodontic instruments: An in vitro study. Journal of Conservative Dentistry and Endodontics.

Gupta, P., Saha, K. K., Das, U., Mondal, P., Mandal, K., & Chowdhury, K. (2025). Prevalence and location of mid mesial canal based on interorifice distance between MB-ML canals in permanent mandibular first and second molars in West Bengal population: A cone beam study. University Journal of Dental Sciences.