Sergio Gonzalez Sanchez | Metallurgy/Structural | Best Scholar Award

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Dr. Sergio Gonzalez Sanchez | Metallurgy/Structural | Best Scholar Award

Senior Professor at University Carlos III of Madrid, Spain

Dr. Sergio González Sánchez is a distinguished researcher and professor specializing in materials science and engineering. With extensive experience in academia and industry, his expertise encompasses metallic alloys, biomaterials, and additive manufacturing. Over the years, he has contributed to the advancement of materials for biomedical, structural, and industrial applications through pioneering research and international collaborations.

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Education

Dr. González earned his Ph.D. in Materials Physics from Complutense University of Madrid in 2008, conducting research at the National Center for Metallurgical Research. He holds degrees in Materials Engineering from the Polytechnic University of Madrid and Mechanical Engineering from the Pontifical Comillas University of Madrid. His academic journey includes research fellowships and postdoctoral positions in prestigious institutions across Spain, the UK, Japan, and Germany.

Experience

With over two decades in research and academia, Dr. González has held positions as a Senior Lecturer at Northumbria University, a postdoctoral researcher at the University of Manchester, and a Juan de la Cierva Fellow at the Autonomous University of Barcelona. His international engagements include research visits to Helmholtz-Zentrum Hereon (Germany), Diamond Light Source (UK), and the University of Science and Technology Beijing (China). In 2024, he was appointed as a Distinguished Researcher and Senior Professor at Carlos III University of Madrid.

Research Interests

Dr. González’s research focuses on the development and characterization of advanced metallic alloys, high-entropy materials, and nanostructured coatings. He has contributed significantly to the fields of additive manufacturing, mechanical behavior of biomaterials, and corrosion-resistant metal composites. His work aims to enhance the performance of materials in extreme environments, with applications in aerospace, biomedical implants, and sustainable engineering.

Awards

Dr. González has received several accolades, including the Beatriz Galindo Distinguished Senior Fellowship (2024-2028) from the Spanish Ministry of Science, the Best Researcher Award (2024) at the International Young Scientist Awards, and finalist recognition at the British Engineering Excellence Awards (2017). He is also a Fellow of the Institute of Materials, Minerals, and Mining (IOM3) and a Chartered Engineer.

Selected Publications

S. González et al. (2025). “Cooling rate control and refractory element addition to enhance mechanical properties of CoCrFeMnNi alloy.” Journal of Materials Research and Technology, 36, 459-469.

S. González et al. (2024). “Glass formation and mechanical behavior of ZrHfTiCuNiCoAl multicomponent systems.” Materials Science and Engineering A (submitted).

L.J. García-Hernández et al. (2024). “Strengthening mechanisms in Al-Cu and Al-Cu-Mg systems subjected to plastic deformation.” Canadian Metallurgical Quarterly, 1-10.

A. Martinez-Garcia et al. (2024). “Effect of Co content on electrochemical hydrogen kinetics properties of BCC-type MgAlTiCoxNi high-entropy alloys.” Electrochimica Acta, 497, 144601.

S. Mehvari et al. (2023). “Effect of processing methods on the electrical conductivity of silver-polyurethane composite films.” Journal of Composite Materials, 57, 4409-4422.

S. González et al. (2023). “Strain rate sensitivity of CoCrFeMnNiTix high-entropy alloys using shear punch test.” Materials and Design, 233, 112294.

V.M. Villapún et al. (2020). “Development of antibacterial steel surfaces through laser texturing.” APL Materials, 8, 091108.

Conclusion

Dr. Sergio González Sánchez embodies the qualities of an outstanding scholar—exceptional research output, global recognition, academic leadership, and impactful contributions to material science and engineering. His credentials make him an ideal recipient for a Research for Best Scholar Award.

Somraj Sen | Wave propagation in metamaterials | Best Researcher Award

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Mr Somraj Sen | Wave propagation in metamaterials | Best Researcher Award

PhD, Purdue University, United States

Somraj Sen is a dedicated researcher and PhD student at Purdue University’s School of Mechanical Engineering, specializing in wave propagation, structural dynamics, and metamaterials. With a strong academic foundation, including an MS(Research) from IIT Delhi and a B.Tech from IIEST Shibpur, Somraj has demonstrated excellence in both theoretical and applied research. His work focuses on advanced computational methods, vibration control, and the design optimization of 2D lattice metamaterials. Passionate about innovation, Somraj has contributed to several high-impact journal articles and received prestigious awards for his innovative designs and research contributions.

Professional Profile 

Orcid

Education 🎓

Somraj Sen is currently pursuing a PhD in Mechanical Engineering at Purdue University (2024–ongoing) with a perfect CGPA of 4/4. He completed his MS(Research) in Civil Engineering at IIT Delhi (2022–2024) with a CGPA of 10/10, focusing on wave propagation in metabeams and 2D lattices. Earlier, he earned his B.Tech in Civil Engineering from IIEST Shibpur (2018–2022) with a CGPA of 9.04/10, where his thesis explored model reduction techniques for dynamic systems. His academic journey reflects a strong foundation in engineering and a passion for advanced research.

Experience 🔬

Somraj has extensive research experience in wave propagation, structural dynamics, and metamaterials. During his MS, he developed spectral element formulations for space frame elements and investigated bandgap characterization in beams with geometric modulations. His bachelor’s thesis focused on model reduction techniques for dynamic systems. He has also interned at IIT Delhi and IIEST Shibpur, working on Bayesian model updating and second-order instability effects on RC bridge columns. His expertise spans MATLAB, COMSOL, and finite element analysis, making him a versatile researcher.

Awards and Honors �

Somraj has been recognized for his innovative contributions to engineering. In 2021, he won the first prize in the National Civil/Structural Engineering Students Award Competition for designing an iconic steel roof structure. In 2020, he secured the second prize in Smart Traffic Systems at Build O’ Innovate 2020. These accolades highlight his creativity and problem-solving skills in structural engineering and design.

Research Focus 🔍

Somraj’s research focuses on wave propagation, structural dynamics, and metamaterials. He explores the behavior of 2D lattice metamaterials, spectral element methods, and finite element analysis. His work includes vibration control, uncertainty quantification, and design optimization. He investigates bandgap characterization, wave dispersion, and directional properties in complex geometries, aiming to advance the understanding of wave dynamics in engineered materials.

Publication Top Notes 📚

  1. “Influence of geometry on in-plane and out-of-plane wave propagation of 2D hexagonal and re-entrant lattices” – Composite Structures (2025).
  2. “Waves in beams with geometric modulations” – Journal of Sound and Vibration (Under Review).
  3. “Waves in a bio-inspired gyroid cellular architectured metabeam” – Finite Elements in Analysis and Design (Under Review).
  4. “Wave propagation through 2D lattices with thin-walled beams” – Thin-walled Structures (Submitted).

Conclusion 🌟

Somraj Sen is a highly accomplished researcher with a strong academic background and a passion for advancing the field of structural dynamics and metamaterials. His innovative research, coupled with his technical expertise and numerous accolades, positions him as a promising contributor to the engineering community. With a focus on wave propagation and design optimization, Somraj continues to push the boundaries of knowledge in mechanical and civil engineering.

Zhang Xihua | Environmental Engineering | Best Researcher Award

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Assoc. Prof. Dr Zhang Xihua | Environmental Engineering | Best Researcher Award

Associate Professor at Shanghai Polytechnic University, china

Dr. Xihua Zhang is a distinguished researcher affiliated with Shanghai Polytechnic University. With an extensive background in materials science and environmental engineering, Dr. Zhang has significantly contributed to the field of lithium-ion battery recycling and sustainable resource management. His research has been instrumental in advancing mechanochemical methods for metal recovery, selective lithium extraction, and sustainable recycling practices. Over the years, he has published numerous high-impact journal articles, demonstrating his expertise and commitment to addressing critical challenges in resource sustainability.

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ORCID

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Education

Dr. Zhang has a strong academic foundation in materials science and environmental technology. His educational background has equipped him with advanced knowledge in chemical engineering, sustainable material processing, and waste management, which have been pivotal in shaping his research career. Throughout his academic journey, he has developed expertise in mechanochemical and hydrometallurgical processes, focusing on enhancing the efficiency of metal extraction from spent lithium-ion batteries.

Experience

With years of experience in academia and research, Dr. Zhang has collaborated with several leading institutions and experts in the field. His work spans interdisciplinary domains, including energy storage materials, circular economy practices, and green chemistry. He has served as a reviewer for multiple high-impact journals and has contributed to the development of innovative recycling technologies. His research findings have been widely cited, reflecting his influence in advancing environmentally friendly metal recovery processes.

Research Interests

Dr. Zhang’s research interests primarily focus on sustainable materials processing and recycling technologies. His work includes mechanochemical methods for extracting valuable metals from spent lithium-ion batteries, selective recovery of lithium, and environmentally friendly leaching processes. He is also interested in exploring the role of nickel recycling in new energy vehicle industries and the optimization of closed-loop battery recycling methods. His contributions aim to enhance the efficiency and sustainability of battery recycling to support the growing demand for energy storage materials.

Awards

Dr. Zhang has been recognized for his contributions to battery recycling and sustainable resource management. His research has received accolades from academic and industrial communities, reflecting the significance of his work in advancing environmental sustainability. His awards and honors highlight his dedication to pioneering innovative and efficient recycling techniques that align with global efforts to minimize electronic waste and promote a circular economy.

Publication Top Notes

“Mechanism and technological method of leaching metals from waste lithium-ion batteries by synergistic action of natural organic reductants and mechanochemical method” – Published in Separation and Purification Technology, Jan 2025. (Cited: 1)

“Material flow analysis on the critical resources from spent power lithium-ion batteries under the framework of China’s recycling policies” – Published in Waste Management, Nov 2023. (Cited: 6)

“A mechanochemical method for one-step leaching of metals from spent LIBs” – Published in Waste Management, Apr 2023. (Cited: 12)

“Recovery of Li and Co from Spent Li-Ion Batteries by Mechanochemical Integration with NH4Cl” – Published in ACS Sustainable Chemistry & Engineering, May 2022. (Cited: 11)

“Selective Recovery of Lithium from Spent Lithium-ion Batteries Synergized by Carbon and Sulfur Elements” – Published in Acta Chimica Sinica, Aug 2021. (Cited: 5)

“The role of nickel recycling from nickel-bearing batteries on alleviating demand-supply gap in China’s industry of new energy vehicles” – Published in Resources, Conservation and Recycling, Jul 2021. (Cited: 36)

“Recycling of LiNi1/3Co1/3Mn1/3O2 cathode materials from spent lithium-ion batteries using mechanochemical activation and solid-state sintering” – Published in Waste Management, Feb 2019. (Cited: 144)

Conclusion

With a strong publication record, high citation impact, and groundbreaking research in sustainable battery recycling, Dr. Xihua Zhang is a highly deserving candidate for the Best Researcher Award. His work not only advances scientific knowledge but also plays a pivotal role in promoting sustainable and environmentally responsible practices in energy storage and recycling industries

Vedika Vishawas Avhad – Engineering & Technology – Best Researcher Award

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Vedika Vishawas Avhad - Engineering & Technology - Best Researcher Award

VPPCOE&VA - India

AUTHOR PROFILE

GOOGLE SCHOLAR

ACADEMIC BACKGROUND

Mrs. Vedika Vishawas Avhad is an accomplished academic in the field of Computer Engineering. She is currently pursuing her PhD at Pillai HOC in Panvel and has completed her M.E. in Computer Engineering from YTIET, Karjat in 2019 with a CGPA of 7.77. Her undergraduate studies culminated in a B.E. in Computer Engineering from D.Y. Patil, Pune in 2014, where she achieved 61.80%. Additionally, she holds a Diploma in Computer Engineering from K.K. Wagh Polytechnic, Nashik, completed in 2010 with a commendable score of 72.90%.

PROFESSIONAL EXPERIENCE

Mrs. Avhad's professional journey includes roles as an Assistant Professor at Vasantdada Patil Pratishthan’s College of Engineering & Visual Arts in Sion since July 2019. She has also served as a Lecturer at Shivajirao S. Jondhale Polytechnic, Dombivli from June 2016 to March 2018, and as an Assistant Professor at B R Harne College of Engineering, Vangni from January 2016 to May 2016. Her teaching experience is complemented by her roles as a department-level Exam Coordinator, BE & TE student Project Guide, and various coordination responsibilities in academic events and processes.

RESEARCH INTERESTS AND OBJECTIVES

Her research interests focus on innovative applications of computer engineering in health and forensic sciences. She is currently engaged in research projects such as "Iridology-based Early Stage Predictions of Human Health Conditions using Computer Vision and Deep Learning" and "Searching and Detecting Forged Multimedia Data in Forensic Investigation." These projects aim to develop precise patterns of iris for health predictions and efficient detection methods for multimedia forensics, respectively.

PUBLICATIONS

Mrs. Avhad has contributed significantly to academic literature with publications in various reputed journals. Notable works include articles on topics such as Smart EVMs for reducing frauds based on biometric identification, efficient Cibpre schemes with provable security, multimedia data forensics, jamming-aware traffic allocation, plant health monitoring systems, customer churn prediction, heart disease prediction, age and gender prediction, and obstacle detection for the visually impaired.

PROFESSIONAL DEVELOPMENT

She has actively participated in numerous faculty development programs, workshops, and trainings. Some of these include AICTE-ISTE sponsored STTPs on emerging trends in data science, data security, and applications of mathematics in engineering, as well as FDPs on topics like blockchain technology, software project management, and natural language processing. These programs have been instrumental in enhancing her teaching methodologies and research capabilities.

ACADEMIC CONTRIBUTIONS AND SERVICE

Beyond her teaching and research, Mrs. Avhad has been involved in various academic and administrative roles. She has served as a Paper-Setter for University of Mumbai and K. J. Somaiya Institute of Engineering and Information Technology, anchored official, technical, and cultural programs, and worked as an examiner and moderator for university examinations. Her contributions also extend to supporting departmental committees and mentoring students in their academic and research pursuits.

NOTABLE PUBLICATION

Prediction of customer churn using machine learning 2022 (2)

Heart Disease Prediction using Machine Learning,7 th International conference on Innovation And Research in Technology & Engineering, ICIRTE

Smart EVM for Reducing Frauds, Based on Face Recognition and Biometric Identification with instant Result 2019