Lei Liu | Engineering | Best Researcher Award

Prof. Lei Liu | Engineering | Best Researcher Award

Professor at Zhejiang University, China

Prof. Liu Lei is a Young Profenications, information theory, and signal processing. Liu received his Ph.D. in Communication and Information Systems from Xidian University and enriched his academic foundation as a visiting scholar at NTU Singapore. His postdoctoral and research appointments span SUTD, CityU Hong Kong, and JAIST Japan. Honored under ZJUโ€™s Hundred Talents Program, he actively leads in editorial and conference roles. With a track record of cutting-edge research, Prof. Liu has authored 39+ high-impact journal articles and continues to influence future innovations in modern channel coding and massive MIMO. ๐Ÿง ๐Ÿ“ก

Professional Profileย 

๐ŸŽ“ Education

Prof. Liu Lei began his academic journey in 2011 at Xidian University, earning his Ph.D. in Communication and Information System in March 2017. During his doctoral studies, he broadened his expertise with a prestigious exchange opportunity at Nanyang Technological University (NTU), Singapore (2014โ€“2016), where he engaged with globally renowned researchers in the field of Electrical and Electronic Engineering. This international exposure shaped his foundational understanding of statistical signal processing and message-passing algorithms. His academic pursuits combined rigorous theoretical knowledge with practical algorithmic development, laying the groundwork for his future innovations in wireless communication systems and information theory. ๐Ÿ“˜๐ŸŒ๐ŸŽ“

๐Ÿ’ผExperienceย 

Prof. Liu Lei has cultivated a rich academic career across leading global institutions. He began as a Postdoctoral Research Fellow at SUTD, Singapore (2016โ€“2017), followed by a Research Fellow role at City University of Hong Kong (2017โ€“2019). He then served as Assistant Professor at JAIST, Japan (2019โ€“2023), achieving top research rankings among faculty. Since 2023, he has been a Tenure-Track Young Professor and Doctoral Supervisor at Zhejiang University. His expertise spans message passing, compressed sensing, and channel coding. Prof. Liu has been active in IEEE conferences, serving in key editorial and chairing roles, and is a notable reviewer for top-tier journals. ๐ŸŒ๐Ÿ“š๐Ÿซ

๐Ÿ† Awards & Honors

Prof. Liu Lei has received several prestigious accolades for his research excellence. In 2023, he was honored with the Young Star Award and the Best Poster Award at the 30th Chinese Institute of Electronics Conference on Information Theory (CIEIT), recognizing his impactful contributions to information theory. His dedication to academic rigor earned him the Exemplary Reviewer Award from IEEE Transactions on Communications in 2020, an honor bestowed on less than 2% of reviewers. These distinctions underscore his leadership in developing cutting-edge algorithms and his commitment to advancing wireless communication systems. ๐Ÿฅ‡๐ŸŽ–๏ธ๐Ÿ…

๐Ÿ”ฌ Research Focusย 

Prof. Liuโ€™s research focuses on the development of high-performance algorithms and theoretical frameworks in wireless communications. His interests include Message Passing Theory, Statistical Signal Processing, Compressed Sensing, Modern Channel Coding, and Information Theory. He is especially noted for innovations in Approximate Message Passing (AMP) and Orthogonal AMP (OAMP) algorithms. His work aims to optimize capacity and performance in massive MIMO, NOMA, and RIS-aided systems. Prof. Liu’s vision integrates theoretical depth with engineering applications, contributing to next-generation communication systems with greater efficiency, robustness, and scalability. ๐Ÿ“ก๐Ÿ“Š๐Ÿ”

๐Ÿ› ๏ธ Skillsย 

Prof. Liu Lei has extensive expertise in ๐Ÿ“ถ wireless communication, particularly in emerging technologies such as massive MIMO, NOMA, mmWave, and Integrated Sensing and Communication (ISAC) systems. His work contributes to optimizing spectral efficiency and network reliability in next-generation wireless networks.

In the field of ๐Ÿ“ signal processing, he is highly skilled in compressed sensing and advanced channel estimation techniques, which enhance data recovery and transmission accuracy in complex environments.

His foundation in ๐Ÿ“Š information theory is robust, focusing on coding theory, achievable rates, and capacity optimization, all critical to efficient communication system design.

Prof. Liu is also a specialist in ๐Ÿงฎ message passing algorithms, including AMP, OAMP, GAMP, and GVAMP, which he applies to both theoretical models and practical systems.

He leverages ๐Ÿ”— machine learning tools such as neural networks and variational inference to improve signal decoding.

In addition, he is experienced in ๐Ÿ“š academic publishing and ๐Ÿง‘โ€๐Ÿซ teaching, mentoring students in both foundational and advanced courses.

๐Ÿ“š Publications Top Noteย 

  1. Iterative Channel Estimation Using LSE and Sparse Message Passing for MmWave MIMO Systems

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: C. Huang, L. Liu, C. Yuen, S. Sun

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Signal Processing

    • ๐Ÿ”ข Citations: 161

    • ๐Ÿ“… Year: 2018

  2. Capacity-Achieving MIMO-NOMA: Iterative LMMSE Detection

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: L. Liu, Y. Chi, C. Yuen, Y.L. Guan, Y. Li

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Signal Processing

    • ๐Ÿ”ข Citations: 151

    • ๐Ÿ“… Year: 2019

  3. User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled IoT

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: Z. Zhang, Y. Li, C. Huang, Q. Guo, L. Liu, C. Yuen, Y.L. Guan

    • ๐Ÿ“ฐ Journal: IEEE Internet of Things Journal

    • ๐Ÿ”ข Citations: 149

    • ๐Ÿ“… Year: 2020

  4. Gaussian Message Passing for Overloaded Massive MIMO-NOMA

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: L. Liu, C. Yuen, Y.L. Guan, Y. Li, C. Huang

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Wireless Communications

    • ๐Ÿ”ข Citations: 140

    • ๐Ÿ“… Year: 2019

  5. Convergence Analysis and Assurance for Gaussian Message Passing in Massive MU-MIMO Systems

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: L. Liu, C. Yuen, Y.L. Guan, Y. Li, Y. Su

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Wireless Communications

    • ๐Ÿ”ข Citations: 108

    • ๐Ÿ“… Year: 2016

  6. Practical MIMO-NOMA: Low Complexity and Capacity-Approaching Solution

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: Y. Chi, L. Liu, G. Song, C. Yuen, Y.L. Guan, Y. Li

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Wireless Communications

    • ๐Ÿ”ข Citations: 84

    • ๐Ÿ“… Year: 2018

  7. Memory AMP

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: L. Liu, S. Huang, B.M. Kurkoski

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Information Theory

    • ๐Ÿ”ข Citations: 83

    • ๐Ÿ“… Year: 2022

  8. Orthogonal AMP for Massive Access in Channels with Spatial and Temporal Correlations

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: Y. Cheng, L. Liu, L. Ping

    • ๐Ÿ“ฐ Journal: IEEE Journal on Selected Areas in Communications

    • ๐Ÿ”ข Citations: 68

    • ๐Ÿ“… Year: 2021

  9. Capacity Optimality of AMP in Coded Systems

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: L. Liu, C. Liang, J. Ma, L. Ping

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Information Theory

    • ๐Ÿ”ข Citations: 53

    • ๐Ÿ“… Year: 2021

  10. On Orthogonal AMP in Coded Linear Vector Systems

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: J. Ma, L. Liu, X. Yuan, L. Ping

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Wireless Communications

    • ๐Ÿ”ข Citations: 39

    • ๐Ÿ“… Year: 2019

  11. A New Insight into GAMP and AMP

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: L. Liu, Y. Li, C. Huang, C. Yuen, Y.L. Guan

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Vehicular Technology

    • ๐Ÿ”ข Citations: 31

    • ๐Ÿ“… Year: 2019

  12. Over-the-Air Implementation of Uplink NOMA

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: S. Abeywickrama, L. Liu, Y.C. Yuhao, Chi

    • ๐Ÿ“ฐ Conference: IEEE Globecom

    • ๐Ÿ”ข Citations: 31

    • ๐Ÿ“… Year: 2018

  13. Asymptotically Optimal Estimation for Sparse Signal with Arbitrary Distributions

    • ๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ Authors: C. Huang, L. Liu, C. Yuen

    • ๐Ÿ“ฐ Journal: IEEE Transactions on Vehicular Technology

    • ๐Ÿ”ข Citations: 28

    • ๐Ÿ“… Year: 2018

๐Ÿ Conclusion

Dr. Lei Liu exemplifies the qualities of a Best Researcher Award recipient: depth in theoretical research, breadth in global experience, and excellence in teaching and mentorship. His leadership roles, prolific output, and rising trajectory within academic and engineering communities make him a model scholar in the communications field. While areas like applied innovation and interdisciplinary expansion offer room for growth, his current achievements already place him at the forefront of his domain.

Prof. Dr. Jian Chen | Engineering | Best Researcher Award

Prof. Dr. Jian Chen | Engineering | Best Researcher Award

Associate Researcher at Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, China

Dr. Jian Chen ๐ŸŽ“, an accomplished Associate Research Fellow at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences ๐Ÿ›๏ธ, brings over 20 years of rigorous academic and professional experience. With a steadfast foundation in Communication Engineering and a doctorate in Mechanical and Electrical Engineering, Dr. Chen has contributed extensively to the scientific community ๐Ÿ“š. His scholarly portfolio includes 39 academic articles, 3 granted patents ๐Ÿง ๐Ÿ”ง, and active participation as an editorial board member and reviewer for 25 prominent journals, including SCI and EI indexed publications ๐ŸŒ. His consistent commitment to research, innovation, and peer-review excellence marks him as a dedicated scholar in the field of optics and fine mechanics. His career trajectory is a testimony to persistence, insight, and global scientific collaboration ๐ŸŒŸ.

Professional Profileย 

ORCID Profile

๐ŸŽ“ Education

Dr. Jian Chen’s academic journey ๐ŸŒฑ began at Jilin University, where he pursued both his Bachelor’s (2001โ€“2005) and Master’s (2005โ€“2007) degrees in Communication Engineering ๐Ÿ›ฐ๏ธ. Driven by a passion for applied science, he later obtained his Doctorate in Mechanical and Electrical Engineering from the University of Chinese Academy of Sciences (2011โ€“2014) โš™๏ธ. His studies reflect a rare combination of precision communication systems and multi-disciplinary engineering expertise ๐Ÿง . This robust academic progression laid the intellectual groundwork for his future research in optics, electromechanics, and fine instrumentation. The strong theoretical foundations combined with practical insight enabled him to tackle cutting-edge challenges in optics and engineering technologies with a holistic mindset ๐Ÿ“˜๐Ÿ”ฌ.

๐Ÿง‘โ€๐Ÿ”ฌ Professional Experience

Since 2007, Jian Chen has served as an Associate Research Fellow at the prestigious Changchun Institute of Optics, Fine Mechanics and Physics, CAS ๐Ÿข. Over 14 years, he has cultivated deep expertise in electromechanical systems, optical instrumentation, and advanced mechanics ๐Ÿ’ก. His work is not just academic; it holds tangible value, evidenced by his 3 granted patents ๐Ÿ”๐Ÿ“‘. Dr. Chen also stands out as a peer-review gatekeeperโ€”serving on the editorial boards of 25 respected journals, including those indexed by SCI and EI ๐Ÿงพ๐Ÿ“–. His research environment fosters both independent innovation and collaborative exploration, positioning him as a central contributor to Chinaโ€™s optics and precision mechanics research domain ๐Ÿ”ง๐ŸŒ.

๐Ÿ”ฌ Research Interest

Jian Chenโ€™s research interests orbit around the convergence of optics, mechanical design, and electrical systems ๐Ÿ”ญโš™๏ธ. His studies delve into fine optical mechanics, signal processing, and advanced instrumentation, where accuracy meets innovation ๐Ÿ’ก๐Ÿ”ง. He has a keen focus on integrating communication systems with mechanical-electrical interfaces, aiming to improve efficiency, precision, and reliability across applied research platforms ๐Ÿ“ก๐Ÿ”. Through over 39 academic publications and patent filings, he continually addresses real-world problems with scientifically grounded solutions. His passion lies in turning theoretical concepts into functional technologies, especially those impacting optics and information transfer systems ๐Ÿš€. Dr. Chen’s vision includes pushing boundaries in smart optical devices and advancing China’s high-tech research infrastructure ๐Ÿ“ˆ.

๐Ÿ† Award and Honor

With a track record of consistent scholarly output, Jian Chen has earned high regard in his field ๐ŸŒŸ. His appointment as an Editorial Board Member and reviewer for 25 journals, including SCI and EI indexed ones ๐Ÿ…๐Ÿ“˜, speaks volumes about his recognition in the global academic community. This role is both prestigious and demanding, requiring sharp insight, peer leadership, and deep subject-matter expertise ๐Ÿง โœ’๏ธ. The successful granting of 3 patents in his field further confirms his inventive spirit and commitment to practical innovation. While specific awards are not listed, the honors bestowed upon him through editorial responsibilities, patents, and research publications reflect a career shaped by excellence, discipline, and global relevance ๐Ÿงฌ๐Ÿ•Š๏ธ.

Publications Top Notes

1. Multihop Anchor-Free Network With Tolerance-Adjustable Measure for Infrared Tiny Target Detection

This paper introduces a multihop anchor-free network designed to detect tiny infrared targets in complex backgrounds. The proposed method employs a tolerance-adjustable measure to enhance detection accuracy without relying on predefined anchor points. This approach improves the detection of small targets that are easily obscured by background noise.


2. A Novel Equivalent Combined Control Architecture for Electro-Optical Equipment: Performance and Robustness

This study proposes a novel equivalent composite control structure for electro-optical equipment. The architecture aims to balance tracking performance and robustness by adjusting the time coefficient of the compensation loop. The paper analyzes the impact of this adjustment on system dynamics, providing insights into optimizing performance without compromising stability.


3. CA-U2-Net: Contour Detection and Attention in U2-Net for Infrared Dim and Small Target Detection

This paper presents CA-U2-Net, an enhanced version of U2-Net tailored for detecting infrared dim and small targets. By integrating contour detection and attention mechanisms, the model achieves a detection rate of 97.17%, maintaining accurate target shapes even in challenging conditions.


4. A POCS Super Resolution Restoration Algorithm Based on BM3D

This research combines the Projection Onto Convex Sets (POCS) method with BM3D filtering to enhance super-resolution image restoration. The approach addresses the noise sensitivity of traditional POCS by incorporating BM3D’s denoising capabilities, resulting in improved restoration quality for low-resolution images affected by various noise types.

๐Ÿงพ Conclusion

Dr. Jian Chenโ€™s career is a synthesis of academic strength, research innovation, and peer leadership ๐Ÿ“š๐ŸŒŸ. From earning degrees in communication and electromechanical engineering to publishing influential papers and contributing patented solutions, his journey underscores a rare dedication to the advancement of science and technology ๐ŸŒ. His service as a reviewer and editor across 25 journals illustrates not only his expertise but also the respect he commands among peers. Jian Chen exemplifies what it means to be a scholar-practitionerโ€”someone who not only explores ideas but also brings them to life ๐Ÿ”ฌ๐Ÿ’ก. With two decades of impact in optics and mechanical systems, his legacy is both intellectual and tangible, influencing future researchers and technologies across the globe ๐ŸŒ๐Ÿ“ˆ.

Elลผbieta Jarzฤ™bowska | Engineering | Best Researcher Award

Prof. Elลผbieta Jarzฤ™bowska | Engineering | Best Researcher Award

Prof. Elลผbieta Jarzฤ™bowska at Warsaw University of Technology, Poland

Prof. Elลผbieta M. Jarzฤ™bowska ๐Ÿ‡ต๐Ÿ‡ฑ is a distinguished academic at the Warsaw University of Technology ๐Ÿซ, serving in the Institute of Aeronautics and Applied Mechanics โœˆ๏ธ. With a strong foundation in mechanical engineering โš™๏ธ, her research spans multibody systems dynamics, nonlinear and geometric control ๐Ÿง , and robotics ๐Ÿค–, including UAVs and space systems ๐Ÿš€. She has contributed to major international projects in the USA ๐Ÿ‡บ๐Ÿ‡ธ and UK ๐Ÿ‡ฌ๐Ÿ‡ง, working with Ford Motor Company ๐Ÿš— and Cranfield University ๐ŸŽ“. Author of 150+ papers ๐Ÿ“š, she is also a dedicated editor ๐Ÿ“ and member of top engineering societies like ASME and IFToMM ๐ŸŒ.

Professional Profile:

Orcid

scopus

Google Scholar

๐Ÿ”น Education and Experienceย 

๐ŸŽ“ Education

  • ๐Ÿง  B.S., M.S., Ph.D., D.Sc. in Mechanical Engineering from Warsaw University of Technology

  • ๐Ÿ“š Specialization in control and mechanics of constrained systems

๐Ÿ’ผ Experience

  • ๐Ÿซ Professor at Warsaw University of Technology

  • ๐Ÿš— Researcher at Ford Motor Company Research Laboratories, Dearborn, MI, USA

  • ๐Ÿ”ง Collaborator with Engineering Research Centre for Reconfigurable Machining Systems, University of Michigan

  • ๐ŸŽ“ Visiting researcher at Cranfield University, UK

  • ๐ŸŒ Member of Polish Academy of Sciences Committee of Mechanics, ASME, and IFToMM

๐Ÿ”น Professional Developmentย 

Prof. Jarzฤ™bowska has demonstrated exceptional growth through global collaboration ๐ŸŒ, engaging in cutting-edge research in the US and UK. Her work with Ford Motor Company ๐Ÿš™ and the University of Michigan ๐Ÿงช enhanced her real-world application of dynamic modeling and control theories. As an academic, she consistently contributes to curriculum development ๐Ÿ“–, authorship, and editorial roles for high-impact journals ๐Ÿ“. Her active involvement in ASME, IFToMM, and Polish scientific communities ๐Ÿ’ผ showcases her commitment to lifelong learning and interdisciplinary exchange ๐Ÿ”„. She mentors young researchers ๐ŸŽ“ and advances mechanical control theory with every step ๐Ÿš€.

๐Ÿ”น Research Focusย 

Prof. Jarzฤ™bowskaโ€™s research focuses on the modeling, dynamics, and control of multibody systems โš™๏ธ, particularly those with constraints such as nonholonomic and underactuated systems ๐Ÿ”. Her expertise extends to nonlinear and optimal control methods ๐Ÿง  applied to advanced robotic ๐Ÿค–, aerospace โœˆ๏ธ, space ๐Ÿš€, and underwater systems ๐ŸŒŠ. Her work also involves geometric control theory ๐Ÿ“ and its integration into real-world applications like UAVs ๐Ÿ›ธ and intelligent machines. By bridging fundamental theory with practical implementation ๐Ÿ”ง, she addresses challenges in dynamic optimization, system stability, and intelligent control architectures across complex mechanical platforms ๐ŸŒ.

๐Ÿ”น Awards and Honorsย 

๐Ÿ… Member, Committee of Mechanics, Polish Academy of Sciences
๐ŸŽ–๏ธ Associate Editor, Journal of Theoretical and Applied Mechanics
๐Ÿ… Associate Editor, ASME Journal of Computational and Nonlinear Dynamics
๐Ÿ… Associate Editor, Journal of Nonlinear Complex and Data Science
๐Ÿ“˜ Author of a monograph and numerous educational resources in mechanics
๐Ÿ“š Published over 150 research papers in international journals

Publication Top Notes

1. Application of Electroless Deposition for Surface Modification of the Multiwall Carbon Nanotubes

  • Journal: Chemical Physics Letters

  • Year: 2018

  • DOI: 10.1016/j.cplett.2018.04.056

  • Focus: Surface modification using electroless techniques applied to multiwall carbon nanotubes.

2. Hydrogen Disproportionation Phase Diagram and Magnetic Properties for Ndโ‚โ‚…Feโ‚‡โ‚‰Bโ‚† Alloy

  • Journal: Journal of Rare Earths

  • Year: 2016

  • DOI: 10.1016/S1002-0721(16)60104-7

  • Focus: Thermodynamic and magnetic properties of a rare earth alloy involving hydrogen interactions.

3. Influence of Stirring Conditions on Ni/Alโ‚‚Oโ‚ƒ Nanocomposite Coatings

4. TEM & AFM – Complementary Techniques for Structural Characterization of Nanobainitic Steel

  • Journal: Archives of Metallurgy and Materials

  • Year: 2015

  • DOI: 10.1515/amm-2015-0278

  • Focus: Use of microscopy techniques to analyze nanobainitic steels.

5. Characterization of Nanobainitic Structure in 100CrMnSi6-4 Steel After Industrial Heat Treatment

  • Journal: Archives of Metallurgy and Materials

  • Year: 2014

  • DOI: 10.2478/amm-2014-0278

  • Focus: Microstructural evolution in high-strength steels after specific thermal treatments.

6. Influence of Milling Media on Mechanically Exfoliated MoSโ‚‚

  • Journal: Nanomaterials and Nanotechnology

  • Year: 2014

  • DOI: 10.5772/59903

  • Focus: Impact of milling conditions on the exfoliation efficiency of molybdenum disulfide.

7. Measurements of Strain in AlGaN/GaN HEMT Structures Grown by Plasma-Assisted MBE

  • Journal: Journal of Crystal Growth

  • Year: 2014

  • DOI: 10.1016/j.jcrysgro.2014.01.061

  • Focus: Strain analysis in GaN-based high-electron-mobility transistors using molecular beam epitaxy.

8. Nanobainitic Structure Recognition and Characterization Using Transmission Electron Microscopy

  • Journal: Archives of Metallurgy and Materials

  • Year: 2014

  • DOI: 10.2478/amm-2014-0277

  • Focus: Characterization of nanostructured steels via TEM.

9. HRTEM and LACBED of Zigzag Boundaries in GaN Epilayers

10. Identification of Phases in Alloy Steels After Quenching and Isothermal Quenching

Conclusion:

Prof. Elลผbieta M. Jarzฤ™bowska stands out as a globally recognized, multidisciplinary researcher whose academic rigor, innovative contributions, and international impact make her an excellent candidate for the Best Researcher Award. Her blend of theoretical advancement and engineering application supports the highest standards of research excellence.

V.G. Saranya | Engineering | Best Researcher Award

Mrs. V.G. Saranya | Engineering | Best Researcher Award

Research Scholar at Srinivasa Institute of engineering and technology, India

V.G. Saranya ๐ŸŽ“ is a dedicated research scholar at SRM Institute of Science & Technology ๐Ÿ›๏ธ. She earned her B.E. in Electronics and Communication Engineering from Srinivasa Institute of Engineering and Technology ๐Ÿ”ง and her M.E. in Embedded System Technologies from Anna University, Guindy Campus ๐Ÿ–ฅ๏ธ. Currently pursuing her Ph.D. ๐Ÿ“š, her research explores Wireless Sensor Networks ๐ŸŒ, communication systems ๐Ÿ“ก, security frameworks ๐Ÿ”’, and machine learning ๐Ÿค–. With a passion for innovation, she has developed models that improve localization, secure DDoS detection, and healthcare analytics ๐Ÿ’ก. She actively contributes to smart and sustainable tech solutions ๐ŸŒฑ.

Professional Profile:

Scopus

๐Ÿ”น Education & Experience

  • ๐ŸŽ“ B.E. in Electronics and Communication Engineering โ€“ Srinivasa Institute of Engineering and Technology, Anna University

  • ๐ŸŽ“ M.E. in Embedded System Technologies โ€“ College of Engineering, Guindy, Anna University (2016)

  • ๐Ÿงช Ph.D. in Progress โ€“ SRM Institute of Science & Technology

  • ๐Ÿ‘ฉโ€๐Ÿ’ป Research Experience โ€“ Wireless Sensor Networks, Communication Systems, Network Security & Machine Learning

  • ๐Ÿง  Technical Expertise โ€“ Hybrid models, IoT-RFID integration, DDoS prevention systems, clustering algorithms

๐Ÿ”น Professional Development

V.G. Saranya has continuously advanced her professional journey through impactful research and interdisciplinary innovations ๐Ÿง . She has combined evolutionary algorithms with deep learning architectures to improve localization and network defense systems โš™๏ธ๐Ÿ›ก๏ธ. Her active use of tools like Tableau ๐Ÿ“Š and predictive modeling in healthcare monitoring demonstrates her commitment to societal welfare โค๏ธ๐Ÿฅ. Saranya also integrates IoT with sustainable frameworks for lifecycle management ๐ŸŒฟ๐Ÿ”— and develops energy-efficient routing protocols in WSNs ๐Ÿ”‹๐Ÿ“ถ. She regularly engages in academic conferences, technical workshops, and collaborative research initiatives to stay ahead in her domain and contribute meaningfully to the tech community ๐Ÿ‘ฉโ€๐Ÿ”ฌ๐Ÿค.

๐Ÿ”น Research Focus Categoryย 

V.G. Saranyaโ€™s research lies at the intersection of Wireless Sensor Networks (WSNs) ๐Ÿ“ก, Cybersecurity ๐Ÿ”, Machine Learning ๐Ÿค–, and Smart Healthcare Analytics ๐Ÿฅ. Her work enhances real-time localization, anomaly detection, and routing in distributed networks through hybrid AI algorithms ๐ŸŒ๐Ÿง . With a strong inclination toward sustainable and intelligent systems, she introduces energy-efficient clustering and secure data protocols for IoT-driven environments ๐Ÿ”‹๐ŸŒฟ. Her innovations span across interdisciplinary domainsโ€”merging technology with social impact, especially in healthcare and infrastructure resilience ๐Ÿฅ๐Ÿ—๏ธ. Saranyaโ€™s focus is on scalable, adaptive, and secure systems for modern, connected environments ๐Ÿš€๐Ÿ“ฒ.

๐Ÿ”น Awards & Honorsย 

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  • ๐Ÿ… Received Best Paper Award at a National Conference on Emerging Technologies

  • ๐Ÿฅ‡ Recognized for Outstanding Research Contribution in IoT and WSNs by SRMIST

  • ๐ŸŽ–๏ธ Participated in Innovation Challenge Hackathon with distinction

  • ๐Ÿ† Awarded Research Grant for interdisciplinary project on Healthcare

Publication Top Notes

  • Title: TDOA-based WSN localization with hybrid covariance matrix adaptive evolutionary strategy and gradient descent distance techniques

  • Authors: V.G. Saranya, K. Sekhar, Karthik

  • Journal: Alexandria Engineering Journal (AEJ)

  • Year: 2025

  • DOI: 10.1016/j.aej.2024.12.091

Conclusion

V.G. Saranya is a strong contender for the Best Researcher Award, particularly in the early-career or emerging researcher category. Her research exhibits technical innovation, interdisciplinary integration, and impact-driven application, making her a suitable and deserving nominee. Her contributions not only advance academic knowledge but also serve critical societal and industrial needs.

Renwei Liu | Engineering | Excellence in Innovation Award

Dr. Renwei Liu | Engineering | Excellence in Innovation Award

Dr Renwei Liu, Jiangsu University of Science and Technology, China

Dr. Renwei Liu is a lecturer at Jiangsu University of Science and Technology, China, specializing in polar ships, ship-ice interaction, and marine engineering. His innovative research in peridynamics has made significant contributions to the understanding of ship-ice interactions, with numerous publications and patents. He is actively involved in both academic research and industry consultancy, working on cutting-edge projects related to Arctic operations and ice load modeling.

PROFILE

Google Scholarย  Profile

Educational Details

Dr. Renwei Liu earned his Bachelor’s and Ph.D. degrees in Naval Architecture and Marine Engineering from Harbin Engineering University (2012-2021). His academic foundation laid the groundwork for his deep expertise in marine engineering, particularly in the field of polar ship design and the application of peridynamics in ship-ice interaction.

Professional Experience

Since 2021, Dr. Liu has been serving as a lecturer at the School of Naval Architecture and Marine Engineering, Jiangsu University of Science and Technology. His expertise spans various areas of naval architecture, with a particular focus on ship-ice interaction and polar ship technology. He has also contributed to consultancy and industry projects related to ice load prediction and anti-icing technologies for polar ships.

Research Interests

Dr. Liuโ€™s primary research interests include the application of the peridynamics method in ship and marine structures, with a particular emphasis on polar ships, ice load prediction, and anti-icing technologies for Arctic operations. His work also extends to marine platform design and structural optimization for ice navigation.

Research and Innovations

Dr. Liuโ€™s pioneering work includes introducing the peridynamics method for calculating ship ice loads, which led to the development of a numerical model for ship and ice interaction. This work resulted in the publication of the first paper in the field. His ongoing research projects include studies on the failure modes of sea ice and technologies for ice load modeling and anti-icing for Arctic operations. Notable ongoing projects include research funded by the National Natural Science Foundation of China and the Ministry of Science and Technology.

Collaborations

Dr. Liu has co-authored multiple papers with researchers from various institutions, exploring topics like sea ice structure interaction, ice load predictions, and thermomechanical removal of ice from frozen structures. Some of his prominent collaborations include publications in China Ocean Engineering and Ocean Engineering on topics like ice load prediction for ships and the dynamic response of offshore wind turbines under ice impact.

Patents

Dr. Liu holds several patents related to marine engineering, including inventions for ice recognition devices, adjustable towing systems for ice pools, and methods for measuring ice crack sizes using deep learning. His patent portfolio demonstrates his innovative approach to solving complex challenges in marine engineering and ice navigation.

Top Notable Publications

A review for numerical simulation methods of shipโ€“ice interaction
Authors: Y. Xue, R. Liu, Z. Li, D. Han
Published in: Ocean Engineering
Year: 2020
Citations: 84
DOI: 10.1016/j.oceaneng.2020.107853

Simulation of ship navigation in ice rubble based on peridynamics
Authors: R. W. Liu, Y. Z. Xue, X. K. Lu, W. X. Cheng
Published in: Ocean Engineering
Year: 2018
Citations: 84
DOI: 10.1016/j.oceaneng.2017.11.055

Experimental and numerical investigation on self-propulsion performance of polar merchant ship in brash ice channel
Authors: C. Xie, L. Zhou, S. Ding, R. Liu, S. Zheng
Published in: Ocean Engineering
Year: 2023
Citations: 58
DOI: 10.1016/j.oceaneng.2022.113424

Modeling and simulation of iceโ€“water interactions by coupling peridynamics with updated Lagrangian particle hydrodynamics
Authors: R. Liu, J. Yan, S. Li
Published in: Computational Particle Mechanics
Year: 2020
Citations: 49
DOI: 10.1007/s40571-020-00267-2

Peridynamic modeling and simulation of coupled thermomechanical removal of ice from frozen structures
Authors: Y. Song, R. Liu, S. Li, Z. Kang, F. Zhang
Published in: Meccanica
Year: 2020
Citations: 26
DOI: 10.1007/s11012-020-01068-2

Numerical simulations of the ice load of a ship navigating in level ice using peridynamics
Authors: Y. Xue, R. Liu, Y. Liu, L. Zeng, D. Han
Published in: Computer Modeling in Engineering & Sciences
Year: 2019
Citations: 21
DOI: 10.32604/cmes.2019.12258

Broken ice circumferential crack estimation via image techniques
Authors: J. Cai, S. Ding, Q. Zhang, R. Liu, D. Zeng, L. Zhou
Published in: Ocean Engineering
Year: 2022
Citations: 20
DOI: 10.1016/j.oceaneng.2022.111735

 

Conclusion

Dr. Renwei Liu exemplifies the qualities of an outstanding candidate for the Research for Excellence in Innovation Award. His innovative research on peridynamics, his leadership in polar ship research, and his contributions to industry applications make him a deserving nominee. His work continues to shape the future of marine engineering, polar exploration, and sustainable ice navigation technologies.

 

 

 

Yalini Devi Neelan | Engineering | Best Researcher Award

Dr. Yalini Devi Neelan | Engineering | Best Researcher Award

Google Scholar Profile

Educational Details

Dr. Yalini Devi Neelan completed her Ph.D. in Energy Harvesting Applications at Anna University, India, from 2016 to 2021. Her doctoral research focused on innovative methods for harnessing energy through advanced materials and nanotechnology. Prior to her Ph.D., she earned an M.Tech. in Nanoscience and Technology from Anna University, where she achieved an impressive GPA of 8.24/10 from 2014 to 2016. Dr. Neelan’s academic journey began with a Bachelor of Engineering in Electrical and Electronic Engineering, also from Anna University, where she graduated in 2014 with a GPA of 6.41/10. This solid educational background has equipped her with a strong foundation in both engineering principles and nanomaterials, driving her passion for research in energy solutions.

Research Experience

Dr. Yalini Devi Neelan is currently a Postdoctoral Researcher at the University of Milano, Italy, in the Thermoelectricโ€™s Laboratory, where she focuses on the preparation and characterization of nanostructured silicon for thermoelectric applications. Her key responsibilities include preparing nanostructured materials, examining their physicochemical characteristics, and studying their Seebeck coefficient, electrical, and thermal conductivity to calculate the figure of merit (ZT). Prior to this, she was a Postdoctoral Researcher at Chungnam National University, South Korea, where she worked on nanostructured oxide-based materials for antibiotic degradation and battery applications, analyzing their photodegradation and electrochemical properties. Dr. Neelan also served as a Research Associate at Anna University, India, where she focused on energy harvesting and storage applications, preparing oxide-based nanomaterials and managing communications with funding agencies. During her Ph.D. at Anna University, she investigated nanostructured strontium titanate-based oxide thermoelectric materials for energy harvesting from waste heat. Additionally, she collaborated with Shimomura Laboratory at Shizuoka University, Japan, to enhance the thermoelectric power factor of nanostructured SrTiO3 through Gd and Nb co-substitution. Earlier in her academic journey, Dr. Neelan was a project student at the Indian Institute of Technology Madras, where she developed graphene oxide-based strain sensors for motion monitoring. Her diverse research experiences reflect her strong expertise in nanomaterials and energy applications.

Research Focus

Energy harvesting applications, particularly in thermoelectrics, focus on converting waste heat into usable electrical energy, thus promoting sustainable energy solutions. The synthesis of nanomaterials plays a crucial role in this field, as nanostructured materials exhibit enhanced thermoelectric properties due to their unique physical and chemical characteristics. These materials are engineered to optimize energy conversion efficiencies, allowing for effective harvesting from various heat sources. Additionally, advancements in energy storage applications complement energy harvesting by ensuring that the harvested energy can be effectively stored and utilized when needed. By integrating innovative synthesis techniques and exploring novel nanomaterials, researchers aim to improve the performance and efficiency of thermoelectric devices, ultimately contributing to a more sustainable and energy-efficient future.

Top Notable Publications

Enhancing effects of Te substitution on the thermoelectric power factor of nanostructured SnSeโ‚โ‚‹โ‚“Teโ‚“
Authors: D. Sidharth, A.S.A. Nedunchezhian, R. Rajkumar, N.Y. Devi, P. Rajasekaran, et al.
Journal: Physical Chemistry Chemical Physics
Year: 2019
Citations: 32

Effect of Gd and Nb co-substitution on enhancing the thermoelectric power factor of nanostructured SrTiOโ‚ƒ
Authors: N.Y. Devi, K. Vijayakumar, P. Rajasekaran, A.S.A. Nedunchezhian, et al.
Journal: Ceramics International
Year: 2021
Citations: 26

Enhanced thermoelectric performance of band structure engineered GeSeโ‚โ‚‹โ‚“Teโ‚“ alloys
Authors: D. Sidharth, A.S.A. Nedunchezhian, R. Akilan, A. Srivastava, B. Srinivasan, et al.
Journal: Sustainable Energy & Fuels
Year: 2021
Citations: 25

Enhancement of thermoelectric power factor of hydrothermally synthesised SrTiOโ‚ƒ nanostructures
Authors: N.Y. Devi, P. Rajasekaran, K. Vijayakumar, A.S.A. Nedunchezhian, et al.
Journal: Materials Research Express
Year: 2020
Citations: 15

Biogenic synthesis and characterization of silver nanoparticles: evaluation of their larvicidal, antibacterial, and cytotoxic activities
Authors: S. Mahalingam, P.K. Govindaraji, V.G. Solomon, H. Kesavan, Y.D. Neelan, et al.
Journal: ACS Omega
Year: 2023
Citations: 11

Effect of Bismuth substitution on the enhancement of thermoelectric power factor of nanostructured Biโ‚“Coโ‚ƒโ‚‹โ‚“Oโ‚„
Authors: A.S.A. Nedunchezhian, D. Sidharth, N.Y. Devi, R. Rajkumar, P. Rajasekaran, et al.
Journal: Ceramics International
Year: 2019
Citations: 11

Effective Visible-Light-Driven Photocatalytic Degradation of Harmful Antibiotics Using Reduced Graphene Oxide-Zinc Sulfide-Copper Sulfide Nanocomposites as a Catalyst
Authors: J.K. Shanmugam Mahalingam, Yalini Devi Neelan, Senthil Bakthavatchalam, et al.
Journal: ACS Omega
Year: 2023
Citations: 10

Enhancing the thermoelectric power factor of nanostructured ZnCoโ‚‚Oโ‚„ by Bi substitution
Authors: A.S.A. Nedunchezhian, D. Sidharth, R. Rajkumar, N.Y. Devi, K. Maeda, et al.
Journal: RSC Advances
Year: 2020
Citations: 7

High thermoelectric power factor of Ag and Nb co-substituted SrTiOโ‚ƒ perovskite nanostructures
Authors: N.Y. Devi, A.S.A. Nedunchezhian, D. Sidharth, P. Rajasekaran, et al.
Journal: Materials Chemistry and Physics
Year: 2023
Citations: 3