Ms Riya Ghosh | Time-frequency Analysis | Best Researcher Award |

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Ms. Riya Ghosh | Time-frequency Analysis | Best Researcher Award

Indian Institute of Technology (Indian School of Mines) Dhanbad,India

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR 

 👨‍🎓 Bio Summary:

Ms. Riya Ghosh is a dedicated researcher and educator specializing in computational harmonic analysis. Currently pursuing her Ph.D. in Mathematics at the Indian Institute of Technology (ISM) Dhanbad, she focuses on mathematical sampling theory, Fourier analysis, and time-frequency analysis. With a solid academic background and a passion for teaching, Riya is committed to advancing her field while inspiring the next generation of mathematicians.

🎓 Educational Background:

Riya Ghosh is currently completing her Ph.D. in Mathematics at the Indian Institute of Technology (ISM) Dhanbad, with an expected award date of December 2024. Her thesis, titled “Sampling with Derivatives and Time-frequency Analysis for Some Specific Functions,” is supervised by Prof. A. Antony Selvan. She earned her M.Sc. in Mathematics and Computing from IIT (ISM) Dhanbad in 2020, achieving a CGPA of 9.5 and receiving the Gold Medal for being the top student in her department. Riya completed her B.Sc. in Mathematics at West Bengal State University in 2017.

🔍 Research Focus:

Riya’s research centers on computational harmonic analysis, specifically mathematical sampling theory, Fourier analysis, and time-frequency analysis. Her work addresses complex problems in sampling with derivatives, Gabor frames, and interpolation of periodic non-uniform samples. Through her contributions, she aims to enhance the understanding and application of these mathematical concepts in various fields.

🏆 Honors & Awards:

Riya has received numerous honors throughout her academic journey. She was awarded the Inspire Fellowship by the Government of India from 2014 to 2017, along with the Merit Cum Means Scholarship during her M.Sc. program. Riya has also excelled in academic competitions, notably earning the JAM (Joint Admission Test for Mathematics) qualification in 2017 and 2018. In 2024, she was recognized for her research efforts with the Best Paper Presentation award at the International Conference on Functional Analysis and Fractals and the Best Poster Presentation at the Strobl24 Conference in Austria.

💼 Professional Experience:

Riya has gained valuable teaching experience as a Teaching Assistant at IIT (ISM) Dhanbad since January 2021, where she supports students in their mathematical studies. Additionally, she participated in the Summer Workshop in Applied Mathematics at the Tata Institute of Fundamental Research (TIFR) in Bangalore in 2021. Earlier, Riya served as an Assistant Teacher at a West Bengal government school, where she contributed to early education from February 2017 to July 2018.

📚 Top Noted Publications :

“Exponential Type Bases on a Finite Union of Certain Disjoint Intervals of Equal Length” – Banach Journal of Mathematical Analysis (2022).

“Sampling with Derivatives in Periodic Shift-Invariant Spaces” – Numerical Functional Analysis and Optimization (2022).

“Zeros of Self-Inversive Polynomials with an Application to Sampling Theory” – Applied Mathematics and Computation (2023).

.Conclusion:

Riya Ghosh demonstrates outstanding potential for the Best Researcher Award due to her strong academic background, significant research contributions, and recognition in her field. By addressing areas for improvement, particularly in expanding the impact of her research and enhancing her networking skills, she could further solidify her standing in the academic community. Her commitment to both teaching and research positions her as a valuable asset to any academic institution. Given her achievements and potential, she is a strong candidate for the award, with the possibility of making substantial contributions to mathematics and its applications in the future.

Dr Qilong Wan | Spectral analysis | Best Researcher Award |

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Dr. Qilong Wan | Spectral analysis | Best Researcher Award

Central South University,China

Professional Profiles:

SCOPUS

ORCID

 👨‍🎓 Bio Summary:

Dr. Qilong Wan is a distinguished researcher from China, specializing in metal ion detection, spectral analysis, image processing, mechanical design, and embedded software and hardware design. He has made significant contributions to analytical chemistry and material science through his innovative research, with several high-impact publications in top-tier journals. With a strong foundation in engineering and a multidisciplinary approach, Dr. Wan is recognized for his creative solutions in both industrial and environmental challenges. He has also garnered multiple prestigious awards at both national and enterprise levels, further cementing his reputation as a leader in his field.

🎓 Educational Background:

Dr. Qilong Wan earned his Doctorate in Engineering from Central South University, China. His academic journey has provided him with a solid technical foundation in multiple engineering domains, including spectral analysis and mechanical systems, enabling him to pioneer innovative approaches to complex industrial problems.

🔍 Research Focus:

Dr. Wan’s research focuses primarily on metal ion detection in zinc solutions, spectral analysis, and the integration of neural networks for enhanced detection models. He is particularly skilled in designing systems that mitigate interference in analytical processes, such as temperature fluctuations, using machine learning. His interdisciplinary expertise also extends to image processing, applied in innovative systems like human posture recognition, showcasing his diverse technical abilities.

🏆 Honors & Awards:

National Scholarship (China) 🥇: Awarded for academic excellence and research contributions at the national level.

Baosteel Excellent Student Award 🎖️: Recognition for exceptional academic and research performance in engineering.

First Prize in the National College Student Mathematical Modeling Contest 🏆: Demonstrating his problem-solving abilities through mathematical modeling.

Second Prize in the National College Student Energy Saving and Emission Reduction Competition 🌍: Recognized for his work on sustainable technologies and environmental conservation.

💼 Professional Experience:

Dr. Wan has extensive experience in embedded software and hardware design, working on automated detection systems for industrial applications such as zinc hydrometallurgy. His expertise spans across the development of cutting-edge tools for metal ion concentration detection and other analytical technologies. His professional work emphasizes creating systems that are both efficient and highly accurate, aligning with the demands of modern industrial processes.

📚 Top Noted Publications :

“A Fitting Method of Unlabeled Interference for Spectra Based on Multi-Stage Cross Optimization” (Measurement, IF 5.2): Developed a novel method to optimize spectral analysis under complex interference conditions.

“A Cobalt Ion Concentration Detection Model via a Novel Contrastive Neural Network” (Microchemical Journal, IF 4.9): Proposed an innovative neural network model to improve cobalt ion detection, overcoming temperature interference.

“Automatic Detection System with Efficient Sample Preparation for Cobalt Ion Concentration” (Microchemical Journal, IF 4.9): Designed an automated system for accurate cobalt detection in zinc hydrometallurgy.

“Human Sleeping Posture Recognition Based on Sleeping Pressure Image” (IEEE Sensors Journal, IF 4.3): Applied image processing techniques to develop systems for posture recognition, highlighting his versatility in research.

“Hip Positioning and Sitting Posture Recognition Based on Human Sitting Pressure Image” (Sensors, IF 3.4): Investigated sitting posture recognition through pressure imaging, reflecting his contributions to human-machine interaction systems.

Conclusion:

Qilong Wan is a strong candidate for the Best Researcher Award due to his significant contributions to metal ion detection and spectral analysis, demonstrated by high-impact publications in top-tier journals. His innovative approach, academic achievements, and technical expertise position him as a leader in his field. To further strengthen his candidacy, he could narrow his research focus, take on leadership roles, and seek more international visibility.

Dr Mohsen Moradi | Coding Theory | Best Researcher Award |

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Dr Mohsen Moradi | Coding Theory | Best Researcher Award

Northeastern University, United States

Professional Profiles:

SCOPUS

GOOGLE SCHOLAR

ORCID

 👨‍🎓 Bio Summary:

Dr. Mohsen Moradi is a highly accomplished researcher with over a decade of experience in coding theory, quantum error correction, and wireless communications. His expertise extends to machine learning, deep learning, and reinforcement learning, where he has made significant contributions. His research has advanced next-generation communication systems and quantum computing applications, earning him recognition for his innovative work in high-rate channel coding and data compression. Dr. Moradi has a strong academic foundation and has collaborated with leading researchers and institutions around the world.

🎓 Educational Background:

Dr. Moradi holds a Ph.D. in Electrical and Electronics Engineering from Bilkent University, Turkey, where he studied under the guidance of Prof. Erdal Arıkan, a Claude E. Shannon Award winner and father of polar codes. His thesis, “Performance and Computational Analysis of Polarization-Adjusted Convolutional (PAC) Codes”, focused on improving coding techniques for high-speed communications. Prior to this, he earned his M.S. in Coding Theory from Tehran Polytechnic (Amirkabir University of Technology) in Iran, where he worked on constructing polar codes for capacity-achieving communication channels. He has also pursued postdoctoral research at Northeastern University, New Mexico State University, and Bilkent University, focusing on quantum error correction, reinforcement learning-aided decoding, and massive access solutions for next-generation wireless systems.

🔍 Research Focus:

Dr. Moradi’s research centers on designing advanced error-correcting codes (ECC) such as polar codes, PAC codes, LDPC codes, and quantum error correction codes. His work addresses key challenges in wireless communication, machine learning, and cryptography, with a special focus on improving the reliability and efficiency of data transmission. He is particularly interested in the intersection of coding theory with quantum computing, where his research on coding for quantum key distribution has potential applications in secure communication. Additionally, his expertise in reinforcement learning and deep learning provides valuable insights for optimizing decoding algorithms in communication systems.

🏆 Honors & Awards:

Throughout his career, Dr. Moradi has contributed extensively to high-impact research but is yet to be formally recognized with major research awards. However, his work with top-tier institutions and publication in prestigious journals highlights the significance of his contributions to the field of communications and quantum computing. As a respected reviewer, he has conducted over 200 reviews for various journals and conferences, further cementing his role as a key contributor in his research community.

💼 Professional Experience:

Dr. Moradi has held multiple postdoctoral research positions, currently serving as a Postdoctoral Research Associate at Northeastern University. Previously, he conducted postdoctoral research at New Mexico State University and Bilkent University. In these roles, he has worked on projects funded by the NSF and other agencies, focusing on high-rate block coding, quantum error correction, and machine learning applications for decoding algorithms. He has also been involved in teaching various courses such as probability, coding theory, machine learning, and engineering mathematics across several academic institutions, sharing his knowledge with students in both theoretical and applied areas.

📚 Top Noted Publications :

Performance and Complexity of Sequential Decoding of PAC Codes
Authors: M. Moradi, A. Mozammel, K. Qin, E. Arıkan
Citations: 33
Published in: arXiv preprint, arXiv:2012.04990
Year: 2020

On Sequential Decoding Metric Function of Polarization-Adjusted Convolutional (PAC) Codes
Authors: M. Moradi
Citations: 31
Published in: IEEE Transactions on Communications, 69 (12), 7913-7922
Year: 2021

A Monte-Carlo Based Construction of Polarization-Adjusted Convolutional (PAC) Codes
Authors: M. Moradi, A. Mozammel
Citations: 25
Published in: arXiv preprint, arXiv:2106.08118
Year: 2021

Combining and Steganography of 3D Face Textures
Authors: M. Moradi, M. R. Sadeghi
Citations: 10
Published in: Journal of Electrical and Computer Engineering Innovations (JECEI), 5 (2), 93-100
Year: 2017

A Tree Pruning Technique for Decoding Complexity Reduction of Polar Codes and PAC Codes
Authors: M. Moradi, A. Mozammel
Citations: 8
Published in: IEEE Transactions on Communications, 71 (5), 2576-2586
Year: 2023

Conclusion:

Based on his expertise in cutting-edge fields such as quantum error correction, machine learning, and advanced coding theory, combined with his significant publication record and interdisciplinary research, Mohsen Moradi would be a strong candidate for the Best Researcher Award. His technical contributions, particularly in next-generation wireless communication systems and quantum error correction, reflect a deep commitment to pushing the boundaries of current technologies. However, gaining more recognition through leadership roles and awards could further elevate his profile in the research community, making him an even stronger contender for such prestigious accolades.

Assoc Prof Dr Yiping Duan | Multimedia Intelligent Communications | Best Researcher Award |

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Assoc Prof Dr. Yiping Duan | Multimedia Intelligent Communications | Best Researcher Award

Tsinghua University, China

Professional Profiles:

SCOPUS

 👨‍🎓 Bio Summary:

Assoc. Prof. Dr. Yiping Duan is an expert in multimedia communications and semantic computing, currently serving as an Associate Professor at Tsinghua University, Beijing. With over a decade of professional and academic experience, Dr. Duan has made significant contributions to advanced technologies such as brain-inspired image processing, video coding, and EEG-based multimedia communication systems. He is recognized for his interdisciplinary approach, combining artificial intelligence, neuroscience, and wireless communication, which has earned him several prestigious awards and collaborations with leading experts in the field.

🎓 Educational Background:

Dr. Duan earned his Ph.D. in Computer Science from Xidian University, Xi’an, China, where he specialized in hierarchical visual computation and SAR image segmentation. Prior to this, he completed his Bachelor of Science in Computer and Information Engineering from Henan Normal University, Xinxiang. His education laid a strong foundation for his research in multimedia communications and semantic computing, fields in which he continues to innovate.

🔍 Research Focus:

Dr. Duan’s research primarily focuses on multimedia communications, video coding, and semantic communications. He has developed cutting-edge technologies, including EEG-based image quality assessments, intelligent robotics for visual attention, and low-bit-rate semantic communication systems. His work addresses the growing demand for smart systems in areas such as IoT-driven surveillance, 6G communications, and wireless multimedia systems.

🏆 Honors & Awards:

Dr. Duan has received numerous awards in recognition of his innovative work. These include the Best Paper Award at the 2023 International Conference on Wireless Communications and Signal Processing, the Gold Medal at the 2021 National Invention Exhibition, and the First Prize for Scientific and Technological Progress in Beijing for his work on multimedia communication technologies. His awards underscore his leadership in driving advancements in wireless multimedia systems and communication technologies.

💼 Professional Experience:

Dr. Duan is currently an Associate Professor and Doctoral Supervisor at Tsinghua University’s Department of Electronic Engineering. Since joining Tsinghua in 2017, he has steadily advanced from postdoctoral researcher to lecturer, and then to associate professor. His career has been marked by collaboration with top scholars, including IEEE Fellow Prof. Jianhua Lu, and leadership in multimedia communication research. He actively supervises both master’s and doctoral students, contributing to the next generation of researchers.

📚 Top Noted Publications :

Title: Point Cloud Registration via Sampling-Based Evolutionary Multitasking
Authors: Ding, H., Wu, Y., Gong, M., Duan, Y., Tao, X.
Citations: 1
Journal: Swarm and Evolutionary Computation
Index: 89, 101535
Year of Publication: 2024

Title: Object–Attribute–Relation Model-Based Semantic Coding for Image Transmission
Authors: Li, C., Duan, Y., Tao, X., Yang, Q., Chen, C.
Citations: 0
Journal: Journal of the Franklin Institute
Index: 361(11), 106942
Year of Publication: 2024

Title: Boosting Urban Prediction Tasks with Domain-Sharing Knowledge via Meta-Learning
Authors: Wang, D., Peng, J., Tao, X., Duan, Y.
Citations: 1
Journal: Information Fusion
Index: 107, 102324
Year of Publication: 2024

Title: Brain-Inspired Image Perceptual Quality Assessment Based on EEG: A QoE Perspective
Authors: Hu, S., Duan, Y., Tao, X., Zheng, Z., Pan, C.
Citations: 0
Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence
Index: Article in Press
Year of Publication: 2024

Title: Brain-Inspired Visual Attention Modeling Based on EEG for Intelligent Robotics
Authors: Hu, S., Duan, Y., Tao, X., Chu, J., Lu, J.
Citations: 1
Journal: IEEE Journal on Selected Topics in Signal Processing
Index: Article in Press
Year of Publication: 2024

Conclusion:

Dr. Yiping Duan is highly suitable for the Best Researcher Award due to his remarkable contributions to multimedia communications, video coding, and EEG-based image processing technologies. His innovative work bridges neuroscience, AI, and communication systems, making him a pioneering figure in these emerging fields. With multiple prestigious awards, high-impact publications, and significant contributions to both academic and practical applications, Dr. Duan stands out as an influential researcher. By expanding his research scope and increasing his international visibility, he has the potential to further solidify his standing as a world-class researcher.