Yao Ni | Engineering | Editorial Board Member

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Dr. Yao Ni | Engineering | Editorial Board Member

Researcher | Guangdong University of Technology | China

Dr. Ni Yao is a distinguished researcher at the Guangdong University of Technology, Guangzhou, China, widely recognized for his contributions to advanced materials, neuromorphic engineering, and intelligent sensing–processing systems. With an interdisciplinary focus spanning materials science, flexible electronics, artificial intelligence hardware, and intelligent control mechanisms, his research advances next-generation photonic synaptic transistors, in-sensor reservoir computing architectures, and flexible neuromorphic devices capable of multidimensional shape morphing. Dr. Yao has authored 65 peer-reviewed publications, achieved 1,679 citations, and maintains an h-index of 23, reflecting the depth, continuity, and global influence of his scholarly work. His recent high-impact contributions include crystallized conjugated polymer-based photonic synaptic transistors, paper-based perovskite artificial neuromorphic retinas, free shape-morphing neuromorphic devices published in Nature Communications, as well as novel methodologies for industrial control deadlock avoidance, frequency-aware transformers for pipeline leak detection, and symmetric optimization models for delivery duration forecasting. Engaging in collaborations with over 160 co-authors, Dr. Yao actively contributes to multidisciplinary research communities, promoting scientific advancement across materials innovation, industrial automation, computational sensing, and AI-driven systems engineering. His work delivers broad societal impact by enabling energy-efficient intelligent devices, enhancing autonomous perception capabilities, and driving innovations that support safer, more sustainable, and technologically advanced industrial ecosystems. Through continuous innovation, rigorous scholarship, and extensive international collaboration, Dr. Ni Yao remains at the forefront of shaping future directions in intelligent materials, neuromorphic computing, and integrated sensing technologies.

Profiles: Scopus | ORCID | ResearchGate

Featured Publications

1. Wei, H., Yang, J., Fu, C., Li, Z., Ni, Y., Wang, B., He, B., Jiang, S., & He, G. (2025). ALD-driven ultra-thin ZnO channels for flexible electrolytic neuromorphic devices. IEEE Electron Device Letters.

2. Ni, Y., Zhang, Y., Lin, J., Liu, X., Yu, Y., Liu, L., Zhong, W., Chen, Y., Chen, R., Kwok, H. S., et al. (2025). Transistor-structured artificial dendrites for spatiotemporally correlated reservoir computing. IEEE Electron Device Letters.

3. Guan, X., Wu, W., & Ni, Y. (2025). A novel methodology to deadlock analysis and avoidance for automatic control systems based on Petri Net. Processes, 13(10).

4. Chen, M., Lu, Y., Wu, W., Ye, Y., Wei, B., & Ni, Y. (2025). Multi-scale frequency-aware transformer for pipeline leak detection using acoustic signals. Sensors, 25(20).

5. Ji, Z., Liu, J., He, Y., Yang, H., Zhang, L., Guan, S., Ni, Y., & Wu, T. (2025). Stretchable synaptic device with photonic–electric dual mode for sign language recognition. Advanced Materials Technologies

Farouk Zouari | Engineering | Editorial Board Member

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Assist. Prof. Dr. Farouk Zouari | Engineering | Editorial Board Member

Ecole Nationale d’Ingénieurs de Tunis | Tunisia

Dr. Farouk Zouari is a distinguished researcher at Université de Tunis El Manar, Tunisia, known for his significant contributions to control systems engineering and intelligent autonomous technologies. His research encompasses neural network–based adaptive control, nonlinear optimal control, MIMO systems, time-varying delay systems, and finite-time fuzzy synchronization of fractional-order and chaotic systems, with a strong focus on bridging theoretical advancements and real-world applications in automation, robotics, and intelligent transportation. Over his career, Dr. Zouari has produced 37 peer-reviewed publications and established a solid scholarly presence supported by 735 citations and an h-index of 17, indicating substantial impact and sustained relevance in his field. His recent works spanning robust adaptive output feedback control for time-delay MIMO systems, optimal control strategies for multi-axle autonomous vehicles, and chattering-free synchronization methods demonstrate his commitment to addressing emerging engineering challenges. With collaborations involving 30 co-authors, Dr. Zouari actively contributes to interdisciplinary progress, fostering innovation across global research communities. His work continues to support the advancement of intelligent control methodologies and their integration into next-generation dynamic and autonomous systems, contributing to both technological development and societal benefit.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2018). Adaptive neural output-feedback control for nonstrict-feedback time-delay fractional-order systems with output constraints and actuator nonlinearities. Neural Networks, 105, 256–276. Cited by: 82

2. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2021). Neural network controller design for fractional-order systems with input nonlinearities and asymmetric time-varying pseudo-state constraints. Chaos, Solitons & Fractals, 144, Article 110742. Cited by: 65

3. Boubellouta, A., Zouari, F., & Boulkroune, A. (2019). Intelligent fuzzy controller for chaos synchronization of uncertain fractional-order chaotic systems with input nonlinearities. International Journal of General Systems, 48(3), 211–234. Cited by: 65

4. Zouari, F., Boulkroune, A., & Ibeas, A. (2017). Neural adaptive quantized output-feedback control-based synchronization of uncertain time-delay incommensurate fractional-order chaotic systems with input nonlinearities. Neurocomputing, 237, 200–225. Cited by: 64

5. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2019). Neuro-adaptive tracking control of non-integer order systems with input nonlinearities and time-varying output constraints. Information Sciences, 485, 170–199. Cited by: 56

Izhar Ahmed | Engineering | Research Excellence Award

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Mr. Izhar Ahmed | Engineering | Research Excellence Award

Institute of geology and Geophysics, CAS | China

Mr. Izhar Ahmed is a geoscientist at the University of Chinese Academy of Sciences, Beijing, China, specializing in geomechanics, fault zone characterization, and tectonic processes. His research focuses on understanding the mechanical behavior of fault damage zones, particularly in the active Himalayas of Northern Pakistan, providing critical insights into rock strength, seismic hazards, and earthquake risk mitigation. To date, he has authored six peer-reviewed publications, which have garnered 36 citations, reflecting the significance of his contributions in Earth sciences. Dr. Ahmed has collaborated with 19 international researchers, fostering interdisciplinary studies that integrate field investigations, laboratory analyses, and computational modeling. His work has practical implications for infrastructure safety, natural hazard assessment, and geotechnical engineering in seismically active regions. Through rigorous research and global collaborations, Dr. Ahmed continues to advance knowledge in geomechanics and tectonics, demonstrating both scientific excellence and societal relevance in addressing complex geological challenges.

Citation Metrics (Scopus)

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36

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6

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3

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Featured Publications

Yong Xu | Engineering | Research Excellence Award

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Mr. Yong Xu | Engineering | Research Excellence Award

Associate Researcher | Aerospace Technology Institute of CARDC | China

Dr. Yong Xu is a researcher specializing in intelligent sensing, autonomous systems, and advanced signal processing, with a particular focus on drone vision systems and radar-based environmental perception. His research integrates computer vision, machine learning, and adaptive signal normalization techniques to enhance the reliability, efficiency, and resilience of autonomous aerial and maritime systems in complex real-world environments. Dr. Xu has authored several high-impact publications, including An Air-to-Ground Visual Target Persistent Tracking Framework for Swarm Drones (Automation) and Adaptive Clustering-Based Marine Radar Sea Clutter Normalization (Journal of Sensors), showcasing his expertise in persistent target tracking, swarm coordination, and environmental noise reduction. These works demonstrate his ability to bridge theoretical innovation with practical engineering solutions, improving both sensor performance and system-level autonomy. Throughout his career, Dr. Xu has collaborated extensively with interdisciplinary teams, including researchers such as Shuai Guo, Hongtao Yan, An Wang, Tao Jia, Dong Cao, Pengyu Guo, Yue Ma, Tian Yao, and Jaime Lloret, highlighting his strong engagement in international and cross-institutional research. His contributions support real-world applications in autonomous drone navigation, maritime surveillance, environmental monitoring, and defense technologies, promoting safer and more efficient operational systems. By advancing methodologies for persistent tracking and adaptive radar signal processing, Dr. Xu’s research contributes significantly to the fields of robotics, unmanned systems, and intelligent sensing, offering societal benefits in areas such as public safety, disaster monitoring, and infrastructure protection, while reinforcing the development of next-generation autonomous technologies on a global scale.

Profile: ORCID

Featured Publications

1. Xu, Y., Guo, S., Yan, H., Wang, A., Ma, Y., Yao, T., & Song, H. (2025). An Air‑to‑Ground Visual Target Persistent Tracking Framework for Swarm Drones. Automation, 6(4), 81. https://doi.org/10.3390/automation6040081 MDPI

2. Xu, Y., Jia, T., Cao, D., Guo, P., Ma, Y., & Yan, H. (2021). Adaptive Clustering‑Based Marine Radar Sea Clutter Normalization. Journal of Sensors, 2021, Article 2938251 (11 pages). https://doi.org/10.1155/2021/2938251

Jia Jinlong | Engineering | Research Excellence Award

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Assoc. Prof. Dr. Jia Jinlong | Engineering | Research Excellence Award

Head of the Mining Department | Wuhan Institute of Technology | China

Dr. Jinlong Jia is a researcher at the Lanzhou Institute of Technology, China, specializing in coal engineering, gas extraction technologies, and energy-related geomechanics with a focus on improving safety, efficiency, and sustainability in coal mining operations. With 24 scientific publications, 434 citations, and an h-index of 12, he has established a strong research profile in the fields of coal pore structure evolution, borehole optimization, and fluid–rock interactions under complex geological conditions. His recent work includes developing numerical simulation models to quantitatively evaluate effect factors in multi-branch pinnate borehole gas extraction in high-gas thick coal seams, and investigating the influence of CO₂–H₂O interaction time on coal pore morphology and water migration, published in Energy and already earning citations for its contributions to clean energy and mine safety. Dr. Jia’s research integrates computational modeling, experimental coal chemistry, and engineering applications to address critical challenges in methane extraction, gas-solid coupling mechanisms, and geological hazard prevention. Over his career, he has collaborated with more than 67 co-authors, demonstrating extensive engagement in multidisciplinary and multi-institutional research teams working across geology, mining engineering, and energy science. His findings contribute to national and global efforts toward safer mining environments, enhanced gas utilization, reduced greenhouse gas emissions, and improved resource recovery efficiency. Through advancing both theoretical understanding and practical solutions in coalbed methane extraction and pore-scale mechanisms, Dr. Jia continues to play a significant role in supporting sustainable energy development and improving engineering practices within the mining and geoscience sectors.

Profile: Scopus 

Featured Publications

Zhu, X., Jia, J., Zhang, L., Ma, Z., Qin, Z., Zhang, H., & Liu, Z. (2025). Study on the numerical simulation model for quantitative evaluation on effect factors of multi‑branch pinnate borehole gas extraction in high‑gas thick coal seams. Himalayan Geology, 46(2), 125–135.

Xu, H., Hu, J., Liu, H., Ding, H., Zhang, K., Jia, J., Fang, H., & Gou, B. (2024). Effect of the interaction time of CO₂–H₂O on the alterations of coal pore morphologies and water migration during wetting. Energy, 294, Article 130944. https://doi.org/10.1016/j.energy.2024.130944

Sümeyye Sınır | Engineering | Research Excellence Award

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Dr. Sümeyye Sınır | Engineering | Research Excellence Award

Lecturer | İzmir Katip Çelebi University | Turkey

Dr. Sümeyye Sınır is a researcher at İzmir Kâtip Çelebi University in Izmir, Turkey, specializing in applied mechanics, nonlinear systems, and fractional calculus, with a focus on developing innovative mathematical and computational methods for analyzing complex dynamical behaviors. She has authored 3 peer-reviewed publications, which have collectively received 63 citations, and holds an h-index of 2, reflecting her emerging influence in the field of applied mechanics and nonlinear dynamics. Among her notable contributions is the development of a general solution procedure for nonlinear single-degree-of-freedom systems incorporating fractional derivatives, providing critical insights for engineering applications, physics modeling, and mechanical system simulations. Dr. Sınır actively collaborates with colleagues across mathematics, engineering, and computational mechanics, demonstrating a commitment to interdisciplinary research and advancing methodologies that bridge theoretical developments with practical applications. Her work enhances the understanding and prediction of complex nonlinear behaviors, supporting innovations in structural engineering, robotics, energy systems, and other technologically relevant domains. Through her research, she contributes to improved simulation accuracy, efficient system design, and the development of tools that address real-world engineering challenges, translating theoretical insights into tangible societal benefits. Committed to scientific rigor, innovation, and collaboration, Dr. Sınır continues to expand her research portfolio, strengthen academic partnerships, and advance methodologies in nonlinear mechanics, promoting both the theoretical foundation and applied solutions in engineering and physics, while fostering technological progress and contributing to the broader scientific community through impactful research and interdisciplinary engagement.

Profiles: Google Scholar | Scopus | ResearchGate

Featured Publications

1. Sınır, S., Çevik, M., & Sınır, B. G. (2018). Nonlinear free and forced vibration analyses of axially functionally graded Euler-Bernoulli beams with non-uniform cross-section. Composites Part B: Engineering, 148, 123–131. (Cited by 76)

2. Sınır, S., Yıldız, B., & Sınır, B. G. (2021). Approximate solutions of nonlinear pendulum with fractional damping. In 5th International Students Science Congress Proceedings Book (p. 295). (Cited by 3)

3. Sınır, S., & Çevik, M. (2013). Taylor matrix solution of Euler-Bernoulli beam equation subjected to static loads. In Proceedings of the Fourth International Conference on Mathematical and …. (Cited by 3)

4. Sınır, S., Yıldız, B., & Sınır, B. G. (2025). A general solution procedure for nonlinear single degree of freedom systems including fractional derivatives. International Journal of Non-Linear Mechanics, 169, 104966. (Cited by 2)

5. Küzün, D., Yıldız, B., & Sınır, S. (2023). Euler-Bernoulli beam with fractional viscoelastic boundary conditions. 18. UBAK Kongresi. (Cited by 1)

Muhammad Punhal Sahto | Mechanical Engineering | Best Researcher Award

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Assist. Prof. Dr. Muhammad Punhal Sahto | Mechanical Engineering | Best Researcher Award

Assistant Professor | NFC Institute of Engineering and Technology | Pakistan

Assist. Prof. Dr. Muhammad Punhal Sahto is a distinguished academic and researcher in Mechanical Engineering, currently serving as an Assistant Professor at the Department of Mechanical Engineering, NFC IET Multan, Pakistan (since June 2024). Previously, he worked at The University of Lahore as Assistant Professor (2015–2024) and Lecturer (2009–2015). Dr. Sahto earned his Ph.D. in Mechanical Engineering from the University of Electronic Science and Technology of China (2017–2023), where he conducted advanced research on the Analysis and Performance of Static and Dynamic Characteristics of Aerostatic Bearings. He holds an M.S. in Mechanical Engineering from the University of Engineering and Technology, Lahore (2007–2014), and a B.E. in Mechanical Engineering from Quaid-e-Awam University of Engineering, Science, and Technology, Nawabshah (2002–2006). His research interests encompass aerostatic and porous bearings, tribology, advanced materials, micro-electromechanical systems, and renewable energy integration. He has published extensively in high-impact journals such as IEEE Access, Micromachines, Results in Engineering, and MRS Energy & Sustainability, with multiple works under review in leading journals. His research skills include proficiency in AutoCAD, ANSYS Workbench, MATLAB, Origin, Microsoft Office, and LATEX, coupled with expertise in analytical modeling, experimental design, and numerical simulation. Dr. Sahto has served as a reviewer for international journals including IEEE Access and Micromachines, and actively contributes to the global research community. His awards and honors include the Academic and Research Achievement Award (2023) from UESTC, a University Scholarship (2017) for his Ph.D. studies, and recognition as a PEC-registered professional engineer (MECH/19629). Fluent in English, Sindhi, and Urdu, Dr. Sahto combines academic excellence, research innovation, and teaching expertise, contributing significantly to the advancement of precision engineering and sustainable technological solutions.

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

Featured Publications

  1. Sahto, M. P., Wang, W., Imran, M., He, L., Li, H., & Weiwei, G. (2020). Modelling and simulation of aerostatic thrust bearings. IEEE Access, 8, 121299–121310. https://doi.org/10.1109/ACCESS.2020.2999748 Cited by: 25

  2. Sahto, M. P., Wang, W., Sanjrani, A. N., Hao, C., & Shah, S. A. (2021). Dynamic performance of partially orifice porous aerostatic thrust bearing. Micromachines, 12(8), 989. https://doi.org/10.3390/mi12080989 Cited by: 9

  3. Sahto, M. P., Wei, W., Jamil, M. F., Mehmood, A., Sattar, M., Raza, A., Rahman, M. U., & others. (2024). Integrating experimental and theoretical investigations of porous graphite materials with scanning electron microscope image processing. Results in Engineering, 24, 102893. https://doi.org/10.1016/j.rineng.2024.102893 Cited by: 6

  4. Sanjrani, A. N., Huang, H. Z., Shah, S. A., Hussain, F., Punhal, M., Narejo, A., & Zhang, B. (2024). High-speed train wheel set bearing analysis: Practical approach to maintenance between end of life and useful life extension assessment. Results in Engineering, 25, 103696. https://doi.org/10.1016/j.rineng.2024.103696 Cited by: 5

  5. Jamil, M. F., Sahto, M. P., & Mehmood, A. (2025). Comprehensive study on high-performance machining (HPM) of Inconel-718: A review. The International Journal of Advanced Manufacturing Technology, 1–33. https://doi.org/10.1007/s00170-025-16225-z Cited by: 3

Pengyun Xu | Surface Engineering | Best Researcher Award

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Assoc. Prof. Dr. Pengyun Xu | Surface Engineering | Best Researcher Award

Associate Professor | Ocean University of China | China

Assoc. Prof. Dr. Pengyun Xu is an accomplished researcher and academic leader in the field of thermal spray technologies, functional coatings, and micro/nanostructured surfaces, currently serving as an Associate Professor at the College of Engineering, Ocean University of China. He obtained his Ph.D. in Mechanical and Industrial Engineering from the University of Toronto, Canada, in 2019, under the mentorship of the renowned Prof. Javad Mostaghimi, focusing on the deposition of superhydrophobic rare earth oxide coatings via solution precursor plasma spray processes. Dr. Xu previously worked as a Postdoctoral Fellow at the University of Toronto (2019–2021), where he investigated columnar-structured thermal barrier coatings, pseudocapacitor electrodes, and graphene synthesis. His current research centers on liquid feedstock plasma spray processes, underwater drag-reduction coatings, superhydrophobic and thermal barrier coatings, and the modeling of micro/nanoscale behaviors in plasma jets, integrating experimental and computational approaches. Dr. Xu’s research skills span materials synthesis, advanced plasma spray technologies, surface morphology control, and functional property characterization, complemented by strong expertise in cross-disciplinary project management. He has published extensively, with over 15 first- or corresponding-author papers in high-impact journals such as Journal of Advanced Ceramics, Surface & Coatings Technology, and Journal of Colloid and Interface Science, and has authored a book chapter with Elsevier. Dr. Xu has led several national and provincial-level research projects and collaborated internationally through NSERC-funded programs in Canada. He serves as a guest editor, editorial board member, and best paper award judge for international conferences and journals. His awards and honors include multiple grants from the Shandong Provincial Natural Science Foundation and the China Postdoctoral Science Foundation, reflecting his innovative contributions to advanced coating technologies. In conclusion, Dr. Xu exemplifies scientific excellence, leadership, and innovation in materials engineering, with his research advancing sustainable surface technologies and his growing influence promising significant international impact in the field of functional coatings and surface science. 895 Citations | 33 Documents | 15 h-index .

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Wei, Z. Y., Meng, G. H., Chen, L., Li, G. R., Liu, M. J., Zhang, W. X., Zhao, L. N., Zhang, Q., Xu, P., … (2022). Progress in ceramic materials and structure design toward advanced thermal barrier coatings. Journal of Advanced Ceramics, 11(7), 985–1068. Cited by: 335

  2. Xu, P., Coyle, T. W., Pershin, L., & Mostaghimi, J. (2018). Superhydrophobic ceramic coating: Fabrication by solution precursor plasma spray and investigation of wetting behavior. Journal of Colloid and Interface Science, 523, 35–44. Cited by: 70

  3. Meng, G. H., Liu, H., Xu, P. Y., Li, G. R., Xu, T., Yang, G. J., & Li, C. J. (2020). Superior oxidation resistant MCrAlY bond coats prepared by controlled atmosphere heat treatment. Corrosion Science, 170, 108653. Cited by: 69

  4. Xu, P., Coyle, T. W., Pershin, L., & Mostaghimi, J. (2018). Fabrication of micro-/nano-structured superhydrophobic ceramic coating with reversible wettability via a novel solution precursor vacuum plasma spray process. Materials & Design, 160, 974–984. Cited by: 53

  5. Yi, P., Zhan, X., He, Q., Liu, Y., Xu, P., Xiao, P., & Jia, D. (2019). Influence of laser parameters on graphite morphology in the bonding zone and process optimization in gray cast iron laser cladding. Optics & Laser Technology, 109, 480–487. Cited by: 51

Hwasun Park | Engineering | Best Researcher Award

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Prof. Hwasun Park | Engineering | Best Researcher Award

 An Industry-Academic Professor | Sungkyunkwan University | South Korea 

Prof. Hwasun Park is an Industry-Academic Professor at the School of Advanced Materials Science and Engineering, Sungkyunkwan University (SKKU), South Korea, where he leads cutting-edge research in semiconductor packaging and advanced materials processing. He earned his Ph.D. in Materials Science and Engineering from Sungkyunkwan University, building a strong foundation in thin-film and electronic materials that bridge academic innovation and industrial application. Prior to his current academic appointment, Prof. Park accumulated extensive professional experience at the Samsung Electro-Mechanics Central Research Institute, where he led several R&D initiatives in packaging materials and process development, and at the CUOS Center, University of Michigan, enhancing his global collaboration and research insight. His primary research interests include microbump materials and processes, embedded printed circuit boards (PCBs) for semiconductor integration, thin-film technologies for high-frequency applications, anisotropic etching mechanisms using electrostatic phenomena, and optical packaging technologies for 2.5D data-center systems. Prof. Park’s research skills encompass semiconductor process optimization, materials characterization, high-frequency electrical analysis, and integration of optical and electronic components. He has published influential work in IEEE and Scopus-indexed journals, contributing to both the academic and industrial advancement of semiconductor technology. His dedication to innovation and collaboration has earned him recognition for excellence in research and technology transfer, fostering productive ties between academia and industry. Prof. Park actively mentors students, participates in joint research programs, and holds memberships in leading professional organizations such as IEEE and materials-science societies. In conclusion, Prof. Hwasun Park exemplifies a scholar-engineer who bridges theory and practice; his pioneering work in semiconductor materials, international collaborations, and commitment to nurturing future scientists position him as a leader driving technological innovation and sustainable growth in the global semiconductor field. 5 Citations | 1 Document | 1 h-index

Profiles: Scopus | ResearchGate

Featured Publications

  • Oh, P. C., Koh, K. K., Kim, J. H., Kim, S. J., & Park, H. (2014). Life-threatening severe hyperkalemia presenting typical electrocardiographic changes—Rapid recovery following medical, temporary pacing, and hemodialysis treatments. November 2014. Citations: 5

Sathish Boddolla | Material Science | Best Researcher Award

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Dr. Sathish Boddolla | Material Science | Best Researcher Award

Assistant Professor | Pallavi Engineering College | India

Dr. Sathish Boddolla is a dedicated and research-driven physicist with a strong academic foundation and a passion for advancing material science through innovative nanomaterials research. He earned his Ph.D. in Physics from Osmania University (2025), where his doctoral work titled “Influence of Rare Earth Dopants on Structural, Electrical, and Magnetic Properties of Cobalt Nano Ferrites” contributed significant insights into enhancing the performance of spintronic and functional materials. He also holds an M.Sc. in Physics (2015) from G. Pullareddy PG College and a B.Sc. in Physics (2013) from SSR Degree College, both under Osmania University. With over five years of combined teaching and research experience, Dr. Boddolla has served as an Assistant Professor of Physics at Pallavi Engineering College, Sreyas Institute of Engineering and Technology, and Aurora Scientific Technological and Research Academy, where he taught Applied Physics and laboratory courses while mentoring students in experimental techniques. His research interests span nanomaterial synthesis, spintronics, material characterization, and advanced functional materials, focusing on structure-property relationships in rare-earth-doped ferrites. Dr. Boddolla possesses strong research skills in material synthesis (citrate combustion method), characterization tools such as XRD, FTIR, SEM, VSM, and impedance spectroscopy, and data interpretation for magnetic and dielectric behavior. He has authored five peer-reviewed publications in reputed Scopus and SCI-indexed journals, including Ceramics International, Physics Open, and Next Materials. He actively participates in national and international conferences and has attended FDPs and workshops such as Samavesha-12 (NIT Warangal, 2025) and NCSEAM-2022 (Anurag University), reflecting his commitment to continuous professional growth. His contributions and active engagement in academia highlight his potential for leadership and innovation in materials science. In conclusion, Dr. Sathish Boddolla’s blend of academic excellence, research productivity, and teaching experience establishes him as a promising scholar poised to make meaningful contributions to scientific research and technological advancement globally.

Profiles: Scopus | ORCID | ResearchGate

Featured Publications

  1. Shanthakumari, P., Gadwala, N., Sathi Reddy, K., & Boddolla, S. (2025). Enhanced electrical and magnetic properties of Gd-doped Ni-Zn ferrites for energy storage applications. Physics Open. https://doi.org/10.1016/j.physo.2025.100286

  2. Boddolla, S. (2025, June 08). Enhancing the magnetic properties of CoFe₂O₄ ceramics through neodymium doping. Next Materials.

  3. Vani, K., Hashim, M., Rana, G., Ismail, M. M., Batoo, K. M., Hadi, M., Kumar, N. P., Naveena, G., Boddolla, S., & Sriramulu, G. (2024). Impact of rare earth Tb³⁺ substitution in cobalt ferrites: Tuning structural, dielectric, magnetic properties and photocatalytic activity. Ceramics International. https://doi.org/10.1016/j.ceramint.2024.10.437

  4. Boddolla, S., & Ravinder, D. (2024, April 28). Eu³⁺ Doped CoFe₂O₄ Nanoparticles with XRD and FTIR Analysis. Journal for Research in Applied Sciences and Biotechnology. https://doi.org/10.55544/jrasb.3.2.23

  5. Rare earth Gd³⁺-substituted Co spinel nanoferrites structural, dielectric and magnetic properties, contributor: S. Boddolla