Hongjian Liu | Nonlinear System | Best Researcher Award

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Prof. Hongjian Liu | Nonlinear System | Best Researcher Award

Lab Director | Anhui Polytechnic University | China

Professor Hongjian Liu is a distinguished academic serving as Professor at the School of Mathematics and Physics, Anhui Polytechnic University, and Director of the International Joint Research Center for Advanced Control of High-end Equipment in Anhui Province, China. He earned his Ph.D. in Control Theory and Control Engineering from Donghua University, a Master’s degree in Measurement Technique and Automation Equipment from Anhui Polytechnic University, and a Bachelor’s degree in Mathematics and Applied Mathematics from Anhui University. With a strong foundation in mathematics and engineering, Professor Liu has contributed extensively to the advancement of control theory and its applications, focusing on event-triggered state estimation, stochastic nonlinear systems, complex networks, state-dependent coefficient networks, neural networks, and memristive neural networks. His academic career reflects leadership in teaching, research supervision, and collaborative innovation, complemented by active service as a reviewer for leading international journals, including IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing. Professor Liu’s research excellence is evidenced by his prolific scholarly output and significant global influence in systems science and automation. His research impact metrics include 4,769 citations, 142 publications, and an h-index of 41, underscoring his outstanding academic achievements and sustained contributions to the scientific community.

Profiles: Scopus | Google Scholar

Featured Publications

Hu, J., Zhang, H., Liu, H., & Yu, X. (2021). A survey on sliding mode control for networked control systems. International Journal of Systems Science, 52(6), 1129–1147.

Mao, J., Sun, Y., Yi, X., Liu, H., & Ding, D. (2021). Recursive filtering of networked nonlinear systems: A survey. International Journal of Systems Science, 52(6), 1110–1128.

Ju, Y., Tian, X., Liu, H., & Ma, L. (2021). Fault detection of networked dynamical systems: A survey of trends and techniques. International Journal of Systems Science, 52(16), 3390–3409.

Liu, H., Wang, Z., Shen, B., & Liu, X. (2017). Event-triggered state estimation for delayed stochastic memristive neural networks with missing measurements: The discrete time case. IEEE Transactions on Neural Networks and Learning Systems, 29(8), 3726–3737.

Shen, B., Wang, Z., Wang, D., & Liu, H. (2019). Distributed state-saturated recursive filtering over sensor networks under round-robin protocol. IEEE Transactions on Cybernetics, 50(8), 3605–3615.

Peeyush Kamlesh | Physics | Best Researcher Award

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Dr. Peeyush Kamlesh | Physics | Best Researcher Award

Associate Professor | Poornima University | India

Dr. Peeyush Kumar Kamlesh is an accomplished Associate Professor in the Department of Physics and R&D at Poornima University, Jaipur, specializing in Condensed Matter Physics and advanced materials such as Half-Heusler alloys, hybrid and double perovskites, and antiperovskites. He holds a Ph.D. in Physics from Banasthali Vidyapith, with prior degrees in Physics and Mathematics from M. J. P. Rohilkhand University and Hindu College, respectively. With extensive teaching and research experience in higher education, Dr. Kamlesh has contributed significantly to academic and institutional growth through leadership roles such as In-Charge of the Centre for Research, Instrumentation & Development and Associate Dean of Basic and Applied Sciences. His prolific research output includes over thirty peer-reviewed papers in SCI and Scopus-indexed journals, multiple book chapters, patents, and conference presentations, demonstrating expertise in computational materials science and renewable energy applications. As Managing Editor of several scientific journals and reviewer for high-impact publications including Journal of Rare Earths, Materials Today Chemistry, and Scientific Reports, he actively fosters scholarly communication and academic integrity. Dr. Kamlesh has organized international conferences, faculty development programs, and workshops on research methodology, strengthening research capacity among scholars. His honors include the Young Scientist Award and numerous editorial and professional memberships. A dedicated researcher and educator, Dr. Kamlesh continues to advance material science research and innovation through academic excellence and mentorship, with 1,287 citations, 33 documents, and an h-index of 26 reflecting his strong research impact.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

Kumari, S., Kamlesh, P. K., Kumari, L., Kumar, S., Kumari, S., Singh, R., Gupta, R., … (2023). Progress in theoretical study of lead-free halide double perovskite Na₂AgSbX₆ (X = F, Cl, Br, and I) thermoelectric materials. Journal of Molecular Modeling, 29(6), 195.

Kamlesh, P. K., Gautam, R., Kumari, S., & Verma, A. S. (2021). Investigation of inherent properties of XScZ (X = Li, Na, K; Z = C, Si, Ge) half-Heusler compounds: Appropriate for photovoltaic and thermoelectric applications. Physica B: Condensed Matter, 615, 412536.

Rani, U., Kamlesh, P. K., Agrawal, R., Shukla, A., & Verma, A. S. (2022). Emerging study on lead-free hybrid double perovskite (CH₃NH₃)₂AgInBr₆: Potential material for energy conversion between heat and electricity. Energy Technology, 10(9), 2200002.

Rani, M., Kamlesh, P. K., Kumawat, S., Rani, U., Arora, G., & Verma, A. S. (2023). Ab-initio calculations of structural, optoelectronic, thermoelectric, and thermodynamic properties of mixed-halide perovskites RbPbBr₃−xIₓ (x = 0 to 3): Applicable in renewable energy devices. ECS Journal of Solid State Science and Technology, 12(8), 083006.

Rani, U., Kamlesh, P. K., Singh, R., Kumar, T., Gupta, R., Al-Qaisi, S., Kaur, K., … (2024). Exploring properties of organometallic double perovskite (CH₃NH₃)₂AgInCl₆: A novel material for energy conversion devices. Modern Physics Letters B, 38(18), 2450144.

Rinal Prasad | Renewable Energy Management | Best Researcher Award

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Mr. Rinal Prasad | Renewable Energy Management | Best Researcher Award

Teacher | University of Fiji | Fiji

Mr. Rinal Rinay Prasad, an accomplished Mathematics Teacher at Thames High School, is widely recognized for his expertise in mathematics, physics, and renewable energy education. He holds a Master’s degree in Renewable Energy Management from the University of Fiji, a Postgraduate Diploma in Education, and a Bachelor of Science with double majors in Mathematics and Physics from the University of the South Pacific. With extensive teaching and leadership experience across several distinguished institutions, Mr. Prasad has served as Head of Department for Science and Mathematics, leading curriculum innovations, sustainability projects, and academic excellence initiatives. His research and professional interests center on integrating renewable energy solutions and sustainable technologies in education, demonstrated through his leadership in projects such as the Zayed Sustainability Prize-winning initiative and solar and biogas system installations in schools. Mr. Prasad’s achievements include national and international recognitions such as the Digicel “All in for Fiji” Grant, Fiji Water Grant, and multiple distinctions in mathematics competitions. Beyond his teaching excellence, he contributes actively to student mentorship, environmental advocacy, and institutional development. Certified in Occupational Health and Safety, First Aid, and CPR, and a member of academic and sustainability networks, Mr. Prasad exemplifies innovation-driven leadership and educational commitment. His outstanding service, project leadership, and dedication to advancing science education and sustainability make him a deserving candidate for this award nomination.

Profile : ORCID

Featured Publication

1. Prasad, R. R. (2025). Decarbonising island kitchens: Assessing the small-scale flexible balloon digester’s clean cooking potential in Fiji. Energy for Sustainable Development, 80, 145–156.

Hailu Shiferaw Desta | Greening Impacts | Best Researcher Award

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Dr. Hailu Shiferaw Desta | Greening Impacts | Best Researcher Award

Hailu Shiferaw Desta | Water and Land Resource Center | Ethiopia

Dr. Hailu Shiferaw Desta is an accomplished Ecosystem Specialist at the Water and Land Resource Center, Addis Ababa University, recognized for his expertise in environment and natural resource management. He holds a Ph.D. in Geography specializing in Environment and Natural Resource Management from Addis Ababa University, an M.Sc. in Environment focusing on GIS and Remote Sensing from Wageningen University in the Netherlands, an M.Sc. in Biology with a focus on Plant Ecology, and a B.Sc. in Biology from Addis Ababa University. With extensive experience in academia and applied research, he has played leading roles in national and international projects such as the R4D Woody Weeds, Payment for Ecosystem Services, Landscape Restoration, Basin Development and Transformation (BRIGHT), and Green Transition initiatives. His collaborations with global institutions including the World Resources Institute, International Institute of Sustainable Development, and CABI International have advanced the use of geospatial technologies, nature-based solutions, and sustainable land management practices across Ethiopia. Dr. Hailu’s research focuses on land use dynamics, ecosystem services, climate adaptation, and invasive species management, contributing to evidence-based policymaking and environmental governance. He has authored more than thirty publications in prestigious journals such as Nature-Based Solutions, Scientific Reports, Science of The Total Environment, and Ecological Indicators, with his findings influencing restoration strategies and conservation policies. A dedicated mentor and trainer, he has conducted numerous capacity-building programs in GIS, spatial analysis, and environmental planning for professionals and institutions. His work integrates science, innovation, and community engagement to enhance ecosystem resilience and promote sustainable development. With 1,811 citations, an h-index of 18, and an i10-index of 21, Dr. Hailu Shiferaw Desta stands as a leading scholar and practitioner in environmental research and sustainability.

Profiles: Scopus | ORCID | Google Scholar

Featured Publication

1. Linders, T. E. W., Schaffner, U., Eschen, R., Abebe, A., Choge, S. K., Nigatu, L., et al. (2019). Direct and indirect effects of invasive species: Biodiversity loss is a major mechanism by which an invasive tree affects ecosystem functioning. Journal of Ecology, 107(6), 2660–2672.

2. Shiferaw, H., Teketay, D., Nemomissa, S., & Assefa, F. (2004). Some biological characteristics that foster the invasion of Prosopis juliflora (SW.) DC at Middle Awash Rift Valley Area, north-eastern Ethiopia. Journal of Arid Environments, 58(2), 135–154.

3. Shiferaw, H., Bewket, W., Alamirew, T., Zeleke, G., Teketay, D., Bekele, K., et al. (2019). Implications of land use/land cover dynamics and Prosopis invasion on ecosystem service values in Afar Region, Ethiopia. Science of the Total Environment, 675, 354–366.

4. Shiferaw, H., Bewket, W., & Eckert, S. (2019). Performances of machine learning algorithms for mapping fractional cover of an invasive plant species in a dryland ecosystem. Ecology and Evolution, 9, 2562–2574.

 

Niloofar Akbariansaravi | Circular Economy | Best Academic Researcher Award

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Dr. Niloofar Akbariansaravi | Circular Economy | Best Academic Researcher Award

Postdoctoral Researcher | University of British Columbia | Canada

Dr. Niloofar Akbariansaravi is a Postdoctoral Research Fellow and Sessional Lecturer at the University of British Columbia (UBC) Okanagan, specializing in Applied Operations Research, Business Analytics, and Sustainable Supply Chain Management. She holds dual PhDs in Mechanical Engineering from UBC and Industrial Engineering from the University of Tehran, complemented by a master’s in Industrial Engineering and a bachelor’s degree from Ferdowsi University of Mashhad. Her professional experience spans academia, industry, and entrepreneurship, including leadership roles in collaborative sustainability projects with bioenergy, bioplastic, and sawmilling sectors, and the founding of SustainPro Solutions Inc., a UBC spin-off promoting circular economy analytics. Dr. Akbariansaravi’s research focuses on developing data-driven Decision Support Systems (DSS), multi-criteria optimization frameworks, and techno-economic sustainability models to support environmentally responsible manufacturing and supply chain practices. She has authored multiple refereed journal articles, book chapters, and international conference papers, earning recognition through awards such as the Best Student Paper at the IISE Conference and competitive research fellowships from UBC, MITACS, and Lab-to-Market Canada. As an educator and mentor, she has guided numerous graduate students and contributed to interdisciplinary teaching in analytics and sustainability. Her professional affiliations and achievements include serving as a journal reviewer, conference chair, Lean Six Sigma Black Belt certification holder, and active member of leading research networks advancing sustainable industrial systems worldwide.

Profile: Google Scholar

Featured Publications

1. Rabbani, M., Oladzad-Abbasabady, N., & Akbarian-Saravi, N. (2022). Ambulance routing in disaster response considering variable patient condition: NSGA-II and MOPSO algorithms. Journal of Industrial & Management Optimization, 18(2), 148.

2. Rabbani, M., Saravi, N. A., Farrokhi-Asl, H., Lim, S. F. W. T., & Tahaei, Z. (2018). Developing a sustainable supply chain optimization model for switchgrass-based bioenergy production: A case study. Journal of Cleaner Production, 200, 827–843.

3. Akbarian-Saravi, N., Mobini, M., & Rabbani, M. (2020). Development of a comprehensive decision support tool for strategic and tactical planning of a sustainable bioethanol supply chain: Real case study, discussions and policy implications. Journal of Cleaner Production, 244, 118871.

4. Rabbani, M., Mokarrari, K. R., & Akbarian-Saravi, N. (2021). A multi-objective location inventory routing problem with pricing decisions in a sustainable waste management system. Sustainable Cities and Society, 75, 103319.

5. Rabbani, M., Momen, S., Akbarian-Saravi, N., Farrokhi-Asl, H., & Ghelichi, Z. (2020). Optimal design for sustainable bioethanol supply chain considering the bioethanol production strategies: A case study. Computers & Chemical Engineering, 134, 106720.

Ramtin Moeini | Energy Production | Best Researcher Award

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Dr. Ramtin Moeini | Energy Production | Best Researcher Award

Associate Professor | University of Isfahan | Iran

Dr. Ramtin Moeini is an Associate Professor in the Department of Civil Engineering at the University of Isfahan, specializing in water engineering, hydraulic systems, and optimization of water and wastewater networks. He earned his B.Sc. in Civil Engineering from Isfahan University of Technology, followed by M.Sc. and Ph.D. degrees in Civil Engineering with a focus on Water Engineering from Iran University of Science and Technology, where his research concentrated on intelligent optimization algorithms for reservoir operation and network design. Dr. Moeini has extensive teaching experience across undergraduate, postgraduate, and Ph.D. programs in subjects including fluid mechanics, hydraulic structures, water resource system analysis, and municipal water management. His professional experience encompasses leading advanced research projects on reservoir operation, water distribution networks, and urban water management, often integrating meta-heuristic algorithms such as ant colony optimization, artificial bee colony, and hybrid computational models. He has authored numerous high-impact publications in internationally recognized journals, contributed to conference proceedings worldwide, and actively participates in research collaborations addressing water resources and hydraulic system optimization. Dr. Moeini has received multiple recognitions for his contributions, holds editorial and reviewer roles in leading journals, and is a member of professional engineering associations. His innovative work in modeling, simulation, and optimization has significantly advanced the design and management of water systems, According to Scopus, his research record includes 848 citations, 48 documents, and an h-index of 16.

Profiles: Scopus | ORCID

Featured Publications

1. (2025). Pressure management and energy production approaches in urban water distribution networks using pumps as turbines. Energy Reports.

2. (2025). Optimal operation of the non-drinking water distribution network considering future conditions: Case study of Isfahan University non-drinking water distribution network. Results in Engineering.

3. (2025). Graph theory-based algorithm to define district metered areas considering hydraulic conditions. Journal of Water Resources Planning and Management.

4. (2025). Quality simulation of dam reservoir using GP model: Case study of ZayandehRoud dam reservoir. International Journal of Environmental Science and Technology

Diana Berman | Tribology | Best Academic Researcher Award

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Assoc. Prof. Dr. Diana Berman | Tribology | Best Academic Researcher Award

Associate Professor | University of North Texas | United States

Dr. Diana Berman, Associate Professor in the Department of Materials Science and Engineering at the University of North Texas and Director of the Tribology Center at the Advanced Materials and Manufacturing Processes Institute, is a leading expert in functional nanostructured materials and tribology. She earned her Ph.D. and M.S. degrees in Physics from North Carolina State University and her B.S. in Applied Physics and Mathematics from the Moscow Institute of Physics and Technology. Her professional trajectory spans key research roles at Argonne National Laboratory and leadership in academia, where she has directed transformative projects on multicomponent ceramics, carbon-based materials, and advanced coating technologies for friction and wear reduction. Dr. Berman’s research focuses on synthesis, structure–property relationships, and environment–material interactions, with a prolific record of publications, patents, and invited talks contributing significantly to the advancement of superlubricity and nanomaterials. Her work has earned her numerous prestigious awards, including the NSF CAREER Award, Fulbright Distinguished Scholar Award, and recognition among the Top 2% of scientists worldwide. She actively serves on editorial boards such as Nature Scientific Reports and Tribology Letters, and holds leadership positions in professional organizations including the American Vacuum Society and the Society of Tribologists and Lubrication Engineers. A dedicated mentor and innovator, she has supervised graduate and undergraduate researchers, contributed to major research funding initiatives, and advanced international collaborations. Professionally: 7,091 Citations, Documents 119, Documents 33 in Scopus.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Berman, D., Erdemir, A., & Sumant, A. V. (2014). Graphene: A new emerging lubricant. Materials Today, 17(1), 31–42.

2. Berman, D., Deshmukh, S. A., Sankaranarayanan, S. K. R. S., Erdemir, A., & Sumant, A. V. (2015). Macroscale superlubricity enabled by graphene nanoscroll formation. Science, 348(6239), 1118–1122.

3. Berman, D., Erdemir, A., & Sumant, A. V. (2013). Few layer graphene to reduce wear and friction on sliding steel surfaces. Carbon, 54, 454–459.

4. Berman, D., Erdemir, A., & Sumant, A. V. (2013). Reduced wear and friction enabled by graphene layers on sliding steel surfaces in dry nitrogen. Carbon, 59, 167–175.

5. Berman, D., Erdemir, A., & Sumant, A. V. (2018). Approaches for achieving superlubricity in two-dimensional materials. ACS Nano, 12(3), 2122–2137.

 

Monika Sharma | Engineering | Best Academic Researcher Award

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Dr. Monika Sharma | Engineering | Best Academic Researcher Award

Associate Professor | The Technological Institute of Textile and Sciences | India

Dr. Monika Sharma, Associate Professor in the Department of Computer Science and Engineering at The Technological Institute of Textile & Sciences, Bhiwani, is a distinguished academic specializing in computer engineering with a strong focus on big data, computer networks, web engineering, and programming. She holds a Ph.D. and Pre-Ph.D. in Computer Engineering from Baba Mast Nath University, along with a Master of Technology in Computer Science and a Bachelor of Engineering in Information Technology, both with honors from Maharshi Dayanand University. With over seventeen years of teaching and mentoring experience, she has guided postgraduate scholars, supervised research projects, and actively contributed to academic leadership, including mentoring student societies and organizing technical events. Her research contributions span peer-reviewed journals and conference proceedings, complemented by authorship of book chapters and active engagement in professional development programs. She is a lifetime member of the Indian Society for Technical Education (ISTE) and an active member of the Association for Computing Machinery (ACM), with significant involvement in knowledge dissemination through guest lectures, workshops, and conferences. Dr. Sharma’s dedication to advancing knowledge and fostering academic excellence has earned her recognition as a respected educator and researcher. Her scholarly impact is demonstrated through 1,740 citations, 103 documents, and an h-index of 21, as indexed in Scopus.

Profile: Scopus

Featured Publications

1. Transition from hard to soft Co-Ni ferrites with Cr incorporation: Novel insights into cation distribution and ferromagnetic resonance. (2025). Journal of Magnetism and Magnetic Materials.

2. Indoor particle number concentration measurements across different income group households in urban region. (2025). Urban Climate.

3. A systematic study of polytypism in melt & solution grown crystals of cadmium iodide doped with anionic & cationic impurities. (2025). Journal of Theoretical and Applied Physics.

4. Impact of the odd–even scheme on particulate matter reduction in Delhi traffic intersections. (2025). Particulate Science and Technology.

5. Indoor air pollution and exposure analysis in different residential dwellings of a South Asian urban city. (2025). Particulate Science and Technology.

 

Liangliang Cai | Scanning Probe Microscopy | Best Researcher Award

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Assoc. Prof. Dr. Liangliang Cai | Scanning Probe Microscopy | Best Researcher Award

Associate Professor | Shanghai University | China

Prof. Liangliang Cai is an Associate Professor at the Materials Genome Institute, Shanghai University, specializing in surface science and on-surface synthesis of low-dimensional nanostructures. She received her PhD in Materials Science and Engineering from Tongji University, China, followed by a research fellowship in the Department of Physics at the National University of Singapore. Her professional experience encompasses leading advanced research projects, contributing to international collaborations, and serving on editorial boards, including the Journal of Materials Informatics. Dr. Cai’s research focuses on scanning probe microscopy, artificial intelligence in surface science, and precision fabrication of carbon nanostructures, with notable contributions in elucidating non-covalent interactions, activation of functional groups, and covalent couplings in on-surface reactions. She has authored 35 publications, including 12 in high-impact journals such as Nature Communications, J. Am. Chem. Soc., and Angew. Chem. Int. Ed., and contributed as first, co-first, or co-corresponding author to 11 papers, reflecting her leadership in the field. Her work has advanced fundamental understanding of reaction dynamics and enabled controlled synthesis of functional nanomaterials, recognized by the Ministry of Education Natural Science Award (2nd Class). She actively participates in peer review, mentorship, and international conferences, establishing herself as a leading researcher in materials science. Liangliang Cai’s scholarship has earned 1,159 citations across 36 documents in Scopus, with an h-index of 18.

Profiles: Scopus | ORCID

Featured Publications

1. Cai, L., Zhang, X., Lu, J., Xiang, J., Sun, Q., & Wee, A. T. S. (2025). Disorder−order transition of two-dimensional molecular networks by selenium doping. Chinese Chemical Letters. Advance online publication.

2. Cai, L., Gao, T., & Wee, A. T. S. (2024). Topology selectivity of a conformationally flexible precursor through selenium doping. Nature Communications, 15(1), Article 47614.

3. Cai, L. (2022). Supramolecular tiling of a conformationally flexible precursor. The Journal of Physical Chemistry Letters, 13(5), 1234–1240.

4. Yu, X., Sun, Q., Liu, M., Du, W., Liu, Y., Cai, L., Zha, Z., Pan, J., Kang, F., Gao, W., et al. (2022). Lattice-directed selective synthesis of acetylenic and diacetylenic organometallic polyynes. Chemistry of Materials, 34(4), 1567–1578.

Madhavarao Kulkarni | Computational Fluid Dynamics | Best Researcher Award

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Dr. Madhavarao Kulkarni | Computational Fluid Dynamics | Best Researcher Award

Assistant Professor | B.V.V.S Basaveshwara Science College | India

Dr. Madhavarao Kulkarni is an accomplished mathematician and Assistant Professor with expertise in Computational Fluid Dynamics at Karnatak University, Dharwad. He earned his Ph.D. in Computational Fluid Dynamics, focusing on mixed convection nanoliquid flows, from Karnatak University, following an M.Sc. in Mathematics from Central University of Karnataka and a B.Sc. in Physics, Chemistry, and Mathematics from J. S. S. College, Dharwad. Dr. Kulkarni has extensive professional experience as an Assistant Professor and CFD trainer, contributing to academic instruction in numerical methods, differential equations, complex analysis, and fluid dynamics, while leading projects and mentoring students in advanced computational techniques. His research focuses on nonlinear mixed convection, Newtonian and non-Newtonian nanofluid flows, magnetohydrodynamics, and numerical simulations using finite difference methods, resulting in significant contributions to high-impact journals including Chinese Journal of Physics, Arabian Journal for Science and Engineering, and Indian Journal of Physics. He has actively presented his work at national and international conferences, participated in specialized workshops, and serves as a reviewer for reputed journals. Dr. Kulkarni’s work advances theoretical and computational modeling of complex fluid systems, providing valuable insights into applied mathematics, engineering, and energy systems. His scholarship is recognized with substantial academic influence, reflected in a Scopus profile with 349 citations, 17 documents, and an h-index of 9.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Patil, P. M., & Kulkarni, M. (2021). Analysis of MHD mixed convection in a Ag-TiO₂ hybrid nanofluid flow past a slender cylinder. Chinese Journal of Physics, 73, 406–419.

2. Patil, P. M., Kulkarni, M., & Tonannavar, J. R. (2021). A computational study of the triple-diffusive nonlinear convective nanoliquid flow over a wedge under convective boundary constraints. International Communications in Heat and Mass Transfer, 128, 105561.

3. Patil, P. M., Kulkarni, M., & Hiremath, P. S. (2020). Effects of surface roughness on mixed convective nanofluid flow past an exponentially stretching permeable surface. Chinese Journal of Physics, 64, 203–218.

4. Patil, P. M., & Kulkarni, M. (2020). Nonlinear mixed convective nanofluid flow along moving vertical rough plate. Revista Mexicana de Física, 66(2), 153–161.

5. Patil, P. M., & Kulkarni, M. (2022). MHD quadratic mixed convective Eyring-Powell nanofluid flow with multiple diffusions. Chinese Journal of Physics, 77, 393–410.