Sumei Li | Neural Network | Best Researcher Award Posted on 04/10/202404/10/2024 by Best Paper Award Assoc Prof Dr. Sumei Li | Neural Network | Best Researcher Award Associate Professor at Tianjin University, China Summary: Assoc Prof Dr. Sumei Li is a distinguished researcher in the field of communication engineering, with a focus on advancing technologies for image and video processing. With over 37 published papers in prestigious journals and numerous contributions to leading international conferences, Dr. Li is at the forefront of her field. She has also filed 20 invention patents, demonstrating her commitment to innovation and excellence in research. Her collaborations with renowned institutions and experts, such as Wei Xiang, highlight her dedication to fostering interdisciplinary research. Professional Profile: Scopus Profile Orcid Profile 👩🎓Education: Ph.D. in Communication Engineering Nankai University, Tianjin, China 🏢 Professional Experience: Assoc Prof Dr. Sumei Li has been an Associate Professor in the Communication Engineering Department at Tianjin University since 2006. She has successfully chaired a national 863 project, a National Natural Science Foundation project, and a key fund in Tianjin, underscoring her leadership in the field. Her contributions to academia include significant research and innovations in 3D image and video processing, quality evaluation, and stereo image super-resolution reconstruction. Research Interests: Dr. Li’s primary research interests include: 3D image and video processing Quality evaluation Stereo/image super-resolution reconstruction Neural networks Deep learning Author Metrics: Total Published Papers: 37 Citations: 1,791 Patents Published/Under Process: 20 Top Noted Publication: 1. Multi-Scale Visual Perception Based Progressive Feature Interaction Network for Stereo Image Super-Resolution Authors: Liu, A., Li, S., Chang, Y., Hou, Y. Journal: IEEE Transactions on Circuits and Systems for Video Technology Year: 2024 Volume: 34 Issue: 3 Pages: 1615–1626 Citations: 1 2. Bidirectional Feature Aggregation Network for Stereo Image Quality Assessment Considering Parallax Attention-Based Binocular Fusion Authors: Chang, Y., Li, S., Liu, A., Jin, J., Xiang, W. Journal: IEEE Transactions on Broadcasting Year: 2024 Volume: 70 Issue: 1 Pages: 278–289 Citations: 1 3. Coarse-to-Fine Cross-View Interaction Based Accurate Stereo Image Super-Resolution Network Authors: Liu, A., Li, S., Chang, Y., Zhang, W., Hou, Y. Journal: IEEE Transactions on Multimedia Year: 2024 Volume: 26 Pages: 7321–7334 Citations: 2 4. Cross-Resolution Feature Attention Network for Image Super-Resolution Authors: Liu, A., Li, S., Chang, Y. Journal: Visual Computer Year: 2023 Volume: 39 Issue: 9 Pages: 3837–3849 Citations: 3 5. No Reference Stereoscopic Video Quality Assessment Considering Self-Attention and Different Resolution Level Authors: Zhang, X., Li, S. Conference: ACM International Conference Proceeding Series Year: 2023 Pages: 36–41 Conclusion: Assoc Prof Dr. Sumei Li is a highly qualified candidate for the Best Researcher Award, given her extensive publication record, innovative contributions to communication engineering, and leadership in significant research projects. Her dedication to advancing image and video processing technologies, coupled with her emphasis on neural networks and deep learning, showcases her as a pivotal figure in her field. By addressing areas for improvement, such as broadening her research scope and increasing public engagement, Dr. Li can further amplify her impact on both academia and industry. Overall, her commitment to research excellence and innovation makes her a deserving contender for this prestigious award.
Balaji Srinivasan | Machine Learning Method | Best Researcher Award Posted on 16/08/202417/08/2024 by Best Paper Award Mr. Balaji Srinivasan | Machine Learning Method | Best Researcher Award Balaji Srinivasan at Engineers India Limited, India Summary: Balaji Srinivasan is a seasoned analyst with over 16 years of experience in the refinery and petrochemical industries. Specializing in asset lifecycle management and local stress analysis, he has played a pivotal role in ensuring the safety and reliability of complex systems. His expertise in finite element analysis and advanced technology development has earned him recognition in the field. Professional Profile: Scopus Profile Orcid Profile Google Scholar Profile 👩🎓Education: Balaji Srinivasan holds a solid educational foundation in engineering, specializing in fields pertinent to the refinery and petrochemical industries. His education laid the groundwork for a successful career in managing complex projects and conducting advanced technology development activities. 🏢 Professional Experience: With over 16 years of experience, Balaji Srinivasan has made significant contributions to the refinery and petrochemical sectors. He has been with Engineers India Limited in New Delhi since September 2007, where he specializes in local stress analysis. His expertise extends to conducting advanced technology development activities, including transient thermal and creep-fatigue interaction studies. Balaji has executed finite element, fatigue, creep, and creep-fatigue analyses for pressure vessels and piping components, including high-pressure and high-temperature reactors, coke drums, dryers, and agitator vessels. He has led complex equipment troubleshooting exercises, ensuring safe and reliable plant operations through numerical simulations to identify root causes of fault sequences and performing fitness-for-service assessments on critical components. Balaji’s knowledge of FEA software like ABAQUS and ANSYS has been instrumental in solving unconventional, complex, and multidisciplinary problems arising from pre- and post-commissioning activities. His interactive management approach has enhanced output, maximized quality, and increased employee satisfaction. Research Interests: Balaji’s research interests lie in asset lifecycle management, design basis assessment, local stress analysis, and advanced technology development for the refinery and petrochemical industries. He is particularly focused on enhancing the reliability and safety of critical infrastructure through innovative analysis and simulation techniques. Author Metric: Balaji Srinivasan has contributed to several industry-related publications and research projects. His work is well-regarded in the field of stress analysis and lifecycle management, with a focus on enhancing system reliability and safety. His publications have garnered citations, reflecting the impact of his research on the industry. Top Noted Publication: 1. Strain engineering and one-dimensional organization of metal–insulator domains in single-crystal vanadium dioxide beams Authors: J. Cao, E. Ertekin, V. Srinivasan, W. Fan, S. Huang, H. Zheng, J.W.L. Yim, et al. Journal: Nature Nanotechnology Volume: 4 Issue: 11 Pages: 732-737 Year: 2009 DOI: 10.1038/nnano.2009.266 Citations: 676 2. Mechanism of thermal reversal of the (fulvalene) tetracarbonyldiruthenium photoisomerization: toward molecular solar–thermal energy storage Authors: Y. Kanai, V. Srinivasan, S.K. Meier, K.P.C. Vollhardt, J.C. Grossman Journal: Angewandte Chemie International Edition Volume: 49 Issue: 47 Pages: 8926-8929 Year: 2010 DOI: 10.1002/anie.201003643 Citations: 136 3. Proton momentum distribution in water: an open path integral molecular dynamics study Authors: J.A. Morrone, V. Srinivasan, D. Sebastiani, R. Car Journal: The Journal of Chemical Physics Volume: 126 Issue: 23 Pages: 234504 Year: 2007 DOI: 10.1063/1.2746330 Citations: 90 4. Interplay between intrinsic defects, doping, and free carrier concentration in SrTiO₃ thin films Authors: E. Ertekin, V. Srinivasan, J. Ravichandran, P.B. Rossen, W. Siemons, et al. Journal: Physical Review B—Condensed Matter and Materials Physics Volume: 85 Issue: 19 Article: 195460 Year: 2012 DOI: 10.1103/PhysRevB.85.195460 Citations: 56 5. Exploring the potential of fulvalene dimetals as platforms for molecular solar thermal energy storage: computations, syntheses, structures, kinetics, and catalysis Authors: K. Börjesson, D. Ćoso, V. Gray, J.C. Grossman, J. Guan, C.B. Harris, et al. Journal: Chemistry–A European Journal Volume: 20 Issue: 47 Pages: 15587-15604 Year: 2014 DOI: 10.1002/chem.201402857 Citations: 44
Anurag Upadhyay | Machine Learning Award | Best Researcher Award Posted on 11/03/202411/03/2024 by Best Paper Award Mr. Anurag Upadhyay, Machine Learning Award, Best Researcher Award Anurag Upadhyay at DGI GREATER NOIDA, India Summary: