Shrinivas Shirkande | Computer Engineering | Best Academic Researcher Award

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Dr. Shrinivas Shirkande | Computer Engineering | Best Academic Researcher Award

Principal, HOD Computer | S B Patil COE Indapur, Pune | India

Dr. Shrinivas T. Shirkande is an accomplished academician, researcher, and academic leader in the field of Computer Engineering. He currently serves as the Additional-charge of Principal and Head of the Computer Engineering Department at S.B. Patil College of Engineering, Indapur, affiliated with Pune University. With a strong background in teaching, research, and administration, he has significantly contributed to institutional development, student mentorship, and scholarly innovation. His expertise spans across computer science fundamentals, software engineering, machine learning, data analytics, cloud computing, cybersecurity, and advanced computational models.

Professional Profile

Scopus | Orcid | Google Scholar

Education

Dr. Shirkande holds a Ph.D. in Computer Engineering, complemented by an M.Tech. in Information Technology and a B.Tech. in Information Technology. His academic journey has been marked by a consistent focus on research-driven approaches and the integration of emerging technologies into teaching and practice.

Experience

He has served in progressively responsible academic roles, beginning as an Ad-Hoc Lecturer and later as an Assistant Professor at reputed institutions including Yadavrao Tasgaonkar College of Engineering and Konkan Gyanpeeth College of Engineering. Since joining S.B. Patil College of Engineering, Indapur, he has held key positions such as Assistant Professor, Head of Department, and Additional-charge Principal. His leadership includes spearheading accreditation processes such as NAAC (Grade A), heading the Institute Innovation Cell and R&D Cell, and organizing national and international conferences. His role as editor, session chair, syllabus reform committee member, and conference organizer further highlights his academic impact.

Research Interests

Dr. Shirkande’s research focuses on artificial intelligence, machine learning, cloud computing, cybersecurity, healthcare IoT, and data analytics. His work includes contributions to cloud job scheduling with multi-component attention graph neural networks, privacy-preserving IoT solutions using attribute-based cryptography, and hybrid CNN models for melanoma detection. He is particularly interested in applying computational intelligence to solve real-world challenges in data-driven systems, healthcare, and security.

Honors

He has received recognition for his contributions as a General Chair and Editor-in-Chief of international conferences, including ICEST, and as a co-convener of ICERAT. He has been acknowledged for leading institutional achievements such as NAAC accreditation success. His roles as reviewer and session chair in IEEE and Springer conferences further establish his standing in the academic community.

Top Noted Publications

Secure group key agreement protocol with elliptic curve secret sharing for authentication in distributed environments – Citations: 16, Indexed: Scopus, Year: 2023.

Deep learning driven QoS anomaly detection for network performance optimization – Journal of Electrical Systems 19 (2), Citations: 9, Indexed: Scopus, Year: 2023.

CR System with Efficient Spectrum Sensing and Optimized Handoff Latency to Get Best Quality of Service – International Journal of Intelligent Systems and Applications in Engineering, Citations: 9, Indexed: Scopus, Year: 2023.

The intersection of technology and public health: opportunities and challenges – South Eastern European Journal of Public Health, Citations: 8*, Indexed: Scopus, Year: 2023.

Hydroponics farming using IoT – International Journal of Research in Applied Science and Engineering Technology, Citations: 5, Indexed: Scopus, Year: 2022.

An Explainable Deep Learning Model for Clinical Decision Support in Healthcare – WSN and IoT, Citations: 4, Indexed: Scopus, Year: 2024.

Conclusion

Through his combined contributions in research, teaching, leadership, and institutional development, Dr. Shrinivas T. Shirkande has established himself as a distinguished academic leader in computer engineering. His work bridges the gap between theory and practice, ensuring that innovative solutions are developed for pressing challenges in cloud computing, healthcare, and security. With an expanding research portfolio, active involvement in international academic networks, and a strong commitment to student and institutional growth, he continues to play a vital role in advancing knowledge and innovation in his field.

Theodore Trafalis | Industrial and Systems Engineering | Best Researcher Award |

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Prof. Dr. Theodore Trafalis | Industrial and Systems Engineering | Best Researcher Award 

Professor | Industrial and Systems Engineering at The university of Oklahoma | United States

Prof. Dr. Theodore B. Trafalis is a globally recognized expert in industrial engineering and artificial intelligence, known for his pioneering work in machine learning, optimization, and data analytics. As a long-standing faculty member at the University of Oklahoma, he has made significant contributions to academic research, innovation, and applied science. His expertise spans across weather prediction, financial forecasting, manufacturing systems, and intelligent decision-making, with a strong focus on integrating theory with practical impact.

Professional Profile

Scopus | Orcid | Google scholar |

🎓 Education

Dr. Trafalis holds a Ph.D. in Industrial Engineering (1989), an MSIE (1987), and an M.S. in Mathematics (1984) from Purdue University, USA. His academic journey began with a B.S. in Mathematics from the University of Athens, Greece (1982). This strong educational foundation set the stage for his distinguished interdisciplinary research career.

💼 Experience

With over three decades of academic and research experience, Dr. Trafalis currently serves as Professor in the School of Industrial Engineering and Adjunct Professor in the School of Meteorology at the University of Oklahoma. He began his academic career as an instructor at Purdue and has since held numerous international visiting research positions in countries such as Greece, Japan, France, the Netherlands, and Turkey. These roles have strengthened his global academic perspective and collaborative reach.

🔬 Research Interests

His research is centered on machine learning, robust optimization, support vector machines, and data-driven decision-making systems. He has applied these methods to areas like weather forecasting, including tornado prediction, financial modeling, and intelligent systems in manufacturing. His cross-disciplinary approach has enabled impactful advancements in both engineering and environmental sciences, supported by multiple grants from the NSF and NOAA.

🏆 Honors

Dr. Trafalis has received numerous prestigious awards, including the Regents Award for Superior Accomplishment in Research and Creative Activity (University of Oklahoma), and multiple Best Paper Awards at international conferences such as the International Conference on Artificial Neural Networks in Engineering. He has also held fellowships and lectureships including the David Ross Fellowship from Purdue and the Obermann Faculty Fellowship at the University of Iowa.

📚 Top Noted Publications

Linear Discriminant Analysis
Published In: Robust Data Mining, Pages 27–33
Citations: 653
Year of Publication: 2012

Support Vector Machine for Regression and Applications to Financial Forecasting
Published In: Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks
Citations: 498
Year of Publication: 2000

Robust Data Mining
Published By: Springer Science & Business Media
Citations: 215
Year of Publication: 2012

A Hybrid Model for Exchange Rate Prediction
Published In: Decision Support Systems, Volume 42, Issue 2, Pages 1054–1062
Citations: 209
Year of Publication: 2006

Robust Weighted Kernel Logistic Regression in Imbalanced and Rare Events Data
Published In: Computational Statistics & Data Analysis, Volume 55, Issue 1, Pages 168–183
Citations: 173
Year of Publication: 2011

Conclusion

Prof. Dr. Theodore B. Trafalis exemplifies the qualities of a transformative academic leader whose work bridges disciplines and borders. Through his teaching, research, and international collaborations, he continues to push the boundaries of intelligent systems and optimization science. His dedication to impactful research and educational excellence makes him a standout figure in global academia.

Prof. Dr Fengxian Xin | Mechanical Engineering | Best Researcher Award |

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Prof. Dr. Fengxian Xin | Mechanical Engineering | Best Researcher Award

Professor , at Xi’an Jiaotong University, China.

Prof. Dr. Fengxian Xin is a distinguished Professor of Mechanical Engineering at the School of Aerospace, Xi’an Jiaotong University, China. With a strong academic and research background in acoustics, vibroacoustics, and solid mechanics, he has developed an international reputation for advancing knowledge in structural sound transmission, acoustic materials, and fluid-structure interactions. Known for his deep theoretical insights and practical modeling skills, Prof. Xin actively collaborates across global academic institutions and remains dedicated to the education and mentorship of future engineers and scientists.

Professional Profile

Scopus

Orcid

Education 🎓

Prof. Xin received his Ph.D. in Mechanics from the School of Aerospace, Xi’an Jiaotong University in 2011 under the supervision of Prof. T.J. Lu. Prior to this, he completed his Master’s degree in the same field and institution in 2008 and earned his Bachelor’s degree in Engineering Mechanics in 2006. His education was firmly rooted in state and MOE key laboratories for strength and vibration, providing a strong foundation in structural dynamics and mechanical behavior of materials

Experience 💼

Prof. Xin began his academic career as a Lecturer (2011–2013) at Xi’an Jiaotong University and rose through the ranks as Associate Professor (2014–2020) before being appointed Full Professor in 2020. His global academic engagement includes serving as a Visiting Scholar at Harvard University (2015–2016) and the Massachusetts Institute of Technology (MIT) in 2017, where he further enriched his research in advanced acoustics and mechanical systems.

Research Interests 🔬

Prof. Xin’s primary research interests lie in acoustofluidics, vibroacoustic behavior of structures, sound absorption materials, and cell and tissue mechanics. His work explores the interaction between sound waves and mechanical structures, with applications in lightweight aerospace structures, noise control, and biomechanics. His research blends analytical modeling, experimental validation, and computational simulation, contributing to the theoretical foundation and practical improvement of acoustic and mechanical systems.

Awards 🏆

Prof. Xin has earned recognition for his scholarly contributions, including the National Science and Technology Academic Publication Fund for his monograph published in Chinese. His international exposure and scholarly excellence have positioned him as a leading expert in vibroacoustics, invited to contribute to academic books and collaborative research projects with world-class institutions.

Top Noted Publications 📚

1. Tunable acoustic metamaterial for broadband low-frequency sound absorption by continuous acoustic impedance manipulation
Authors: Wang, Xiaochen; Yu, Chenlei; Xin, Fengxian
Citations: 5
Journal: Journal of Vibration and Control (JVC)
Year: 2025

2. Effect of Three-Dimensional auxetic honeycomb core on behavior of sound transmission loss in shallow sandwich cylindrical shell
Authors: Sayad Ghanbari Nezhad, Mojtaba; Motavasselolhagh, Mehrdad; Talebitooti, R.; Xin, Fengxian
Citations: 0
Journal: Composite Structures
Year: 2025

3. Broadband sound absorption of micro-perforated sandwich panels with hierarchical honeycomb core at high sound pressure levels
Authors: Zhou, Xindong; Zhang, Weitao; Geng, Xiangfei; Xin, Fengxian
Citations: 2
Journal: Composite Structures
Year: 2025

4. Hybrid honeycomb structure for enhanced broadband underwater sound absorption
Authors: Cai, Chuxiang; Xin, Fengxian
Citations: 5
Journal: International Journal of Mechanical Sciences
Year: 2024

5. Dual-Scale Spiral Material for Balancing High Load Bearing and Sound Absorption
Authors: Yu, Chenlei; Duan, Mingyu; Ti, Fei; Li, Moxiao; Chen, Xin
Citations: 5
Journal: Advanced Science (Open Access)
Year: 2024

Conclusion

Prof. Dr. Fengxian Xin stands as a leading voice in the field of mechanical and acoustic engineering, with a career that bridges rigorous theoretical research and practical problem-solving. His consistent academic growth, international collaborations, and impactful publications make him a worthy candidate for prestigious recognitions such as the Best Researcher Award. With continued contributions to acoustics and mechanics, Prof. Xin is set to remain a key contributor to global advancements in mechanical engineering.

Mr Chirag Patel | Engineering | Best Researcher Award |

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Mr. Chirag Patel | Engineering | Best Researcher Award

NVH specialist , at CEAT limited,India

Mr. Chirag Patel, born on December 20, 1983, in Vadodara, Gujarat, India, is a seasoned expert in Computer-Aided Engineering (CAE) and Noise, Vibration, and Harshness (NVH), with over 15 years of experience in the automotive and tyre industry. He is currently serving as a Specialist (Senior Manager) at CEAT Ltd., where he leads a team focused on advanced tyre simulation technologies. Chirag is passionate about developing innovative methodologies that merge simulation tools with practical applications, especially in the field of vehicle acoustics, ride performance, and multibody dynamics.

profile

Scopus

Education

Chirag Patel holds a Master’s degree in Engineering and began his career in academia as an Assistant Professor at Charotar University of Science and Technology. His strong academic foundation in mechanical engineering and early exposure to teaching has enriched his analytical thinking and shaped his journey in simulation and applied research.

Experience

Mr. Patel brings rich experience from globally recognized organizations such as CEAT Ltd., Apollo Tyres, Tata AutoComp Systems (at FIAT Chrysler), HCL Technologies (at John Deere), and Ingersoll Rand. At CEAT, he is responsible for simulation methodology development, NVH analysis, acoustic modeling, tyre model validation, and automation in simulation workflows. His earlier roles include conducting full-vehicle dynamic analysis, NVH studies, acoustic testing, and simulation process optimization. His career began as a Project Engineer at Ingersoll Rand and later transitioned into academia before moving into core automotive simulation roles.

Research interest

His primary research interest lies in tyre dynamics, NVH behavior, acoustic simulation, and ride handling through tools such as ABAQUS, ADAMS, HyperMesh, Wave6, and MATLAB. Chirag has led pioneering projects on tyre cavity noise, foam tyre development for low in-cabin noise, rolling simulations, and modal-frequency-based analysis for structure-borne sound. His research also involves tyre modeling for MBD simulations, using models like PAC2002, MF-Swift, and F-Tire, validated through vehicle handling simulations.

Awards

Chirag has achieved significant milestones, including leading multiple tyre simulation methodologies and applying for a patent for a foam-based tyre concept aimed at reducing in-cabin noise. He has also contributed to university-industry collaboration projects and has been instrumental in establishing simulation processes and tools used in commercial vehicle and two-wheeler tyre development. These efforts have garnered internal recognitions and strengthened his reputation as a technical leader.

Publications

Title: A waveguide finite element model with geometric nonlinearity and orthotropy to analyse broadband vibrations in a reinforced radial tyre
Authors: M. Londhe, R. Oorath, C.B. Patel (Chirag Bharatbhai Patel), N. Tiwari
Journal: Wave Motion
Indexing: Indexed in Scopus and Web of Science
Citations: 0 (as of now)
Year of Publication: 2025

Conclusion

With a solid foundation in engineering, years of hands-on experience, and a drive for innovation, Mr. Chirag Patel stands out as a leading professional in the CAE/NVH domain. His work at the intersection of engineering design, acoustic simulation, and performance optimization showcases his commitment to excellence and industry advancement. A valuable asset to any research or development initiative, Chirag Patel is a strong candidate for recognition such as the Best Researcher Award 2024.

Assoc. Prof. Dr Liangqin Wu | civil engineer | Best Researcher Award |

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Assoc. Prof. Dr Liangqin Wu | civil engineer | Best Researcher Award | 

East China Jiaotong university , at College of Civil Engineering and Architecture, China.

Assoc. Prof. Dr. Liangqin Wu is a distinguished civil engineer specializing in bridge engineering, vehicle-bridge dynamic interaction, and track-bridge interaction. With a strong academic and industry background, he has contributed significantly to the field through research, teaching, and engineering practice. Currently serving at the School of Civil Engineering and Architecture, East China Jiaotong University, he has led multiple national and provincial research projects and collaborated on international infrastructure initiatives.

Professional Profile

Scopus

Education 🎓

Dr. Wu earned his Ph.D. in Civil Engineering from Tongji University (2012), focusing on railway bridge structures. He holds a Master’s degree from Tianjin Chengjian University (2008) and a Bachelor’s degree from Northwestern Polytechnical University (2005), both in Civil Engineering. His academic journey has shaped his expertise in bridge dynamics, structural analysis, and railway infrastructure development.

Professional Experience 💼

Dr. Wu has extensive academic and industry experience. Since 2014, he has been a faculty member at East China Jiaotong University, teaching Bridge Engineering, Railway Bridge Engineering, and Introduction to Transportation. As a visiting scholar at China Railway Group Limited (Malaysia), he contributed to municipal bridge design in Kuala Lumpur. Before academia, he worked as a bridge engineer at The Third Railway Survey and Design Institute Group Corporation (TSDI), where he played a key role in structural computations for large-scale bridges, optimizing efficiency through self-developed computational programs.

Research Interests 🌍

His primary research interests include vehicle-bridge dynamic interaction, track-bridge interaction, and railway bridge engineering. His studies involve experimental and numerical analysis to enhance the safety, stability, and efficiency of modern railway bridges. He has conducted pioneering work on thin-walled trough girder bridges, braking force dynamics, and long-span rigid frame bridges, significantly contributing to structural resilience and design optimization.

Awards & Honors 🏆

Dr. Wu has been awarded multiple research grants, including funding from the National Natural Science Foundation of China (NSFC) and the Natural Science Foundation of Jiangxi Province. His research contributions have been recognized through industry collaborations, academic accolades, and keynote presentations at international conferences.

Top Noted Publications 📚

Title: Effects of Elevated Temperature on Rubber Concrete: Fracture Properties and Mechanism Analysis
Authors: L. Wu, Liangqin; R. Li, Renfeng; Z. Zhu, Zhiyong; B.B. Aydin, Beyazit Bestami; Y. Zhou, Yubao
Citations: 0
Index: Construction and Building Materials
Year of Publication: 2025

Conclusion

Wu Liangqin is a strong candidate for a research award, particularly in structural engineering, bridge dynamics, and railway infrastructure. However, to be highly competitive for a Best Researcher Award, he could further enhance his publication impact, international collaborations, and research leadership.