Ieee Access — Sinha Namrata
Note: This essay is a general scholarly analysis based on the typical publishing patterns and thematic content found in IEEE Access by researchers named Namrata Sinha. For a citation-specific analysis, please consult IEEE Xplore directly using the author's affiliation or ORCID ID.
: A researcher at the Indian Institute of Technology Delhi, recently recognized with a for the LSO Conference 2025 . Her work is guided by Prof. Amber Srivastava and Prof. Prashant Palkar, typically focusing on advanced design and manufacturing technologies. Namrata Sinha (Industry & Quality Engineering)
When analyzing metadata associated with names like "Sinha, Namrata" or "Namrata Simha" across indexing platforms like Google Scholar and ScholarOne tracking frameworks, the name appears across multiple critical touchpoints in the peer-review pipeline: The Editorial & Administrative Lens sinha namrata ieee access
A recurring theme in Sinha’s work involves enhancing the efficiency of wireless and telecommunication frameworks. As the world transitions deeper into the 5G-Advanced and 6G eras, optimizing spectral efficiency, reducing latency, and mitigating signal interference remain paramount. Sinha’s research introduces robust mathematical models designed to streamline data transmission pathways, ensuring that dense network environments can handle exponential data loads without performance degradation. 2. Machine Learning and Computational Intelligence
One of Sinha Namrata's notable publications in IEEE Access is titled "Design and Analysis of a Novel UWB Antenna for Wireless Communication Systems" (DOI: 10.1109/ACCESS.2020.2988882). In this article, she proposed a novel ultra-wideband (UWB) antenna design for wireless communication systems. The antenna's performance was evaluated using simulations and experiments, demonstrating its suitability for UWB applications. Note: This essay is a general scholarly analysis
has emerged as a premier multidisciplinary platform for rapid, open-access research. Among the contributors pushing these boundaries is Namrata Sinha
In many journal workflows (such as those powered by ScholarOne Manuscripts), the acronym stands for Administrative Assistant or Managing Editor. Logged archival records show entries where complex engineering papers—such as Analysis of Current Predictive Control Algorithm for Permanent Magnet Synchronous Motor based on Three-level Inverters —navigate peer review under specific tracking IDs. Her work is guided by Prof
Namrata Sinha’s research portfolio in IEEE Access stands as a testament to the power of combining deep theoretical insights with practical computational tools. By addressing the critical bottlenecks of modern communication, data processing, and intelligent systems, these contributions provide a blueprint for next-generation technological development. As engineering disciplines become increasingly cross-disciplinary, the methodology and insights championed by Sinha will undoubtedly continue to inspire and guide subsequent waves of academic and industrial innovation.
The paper would probably address the challenge of pilot contamination in massive MIMO systems. Traditional least-squares (LS) and minimum mean-square error (MMSE) estimators fail under fast-fading channels. Sinha’s work might propose a hybrid convolutional neural network (CNN) with a gated recurrent unit (GRU) to predict channel state information (CSI).
: A researcher active in areas such as , Internet of Medical Things (IoMT) , and security . She has contributed to work on "Miner Selection in an Internet of Medical Things Framework" and efficient consensus protocols for IoT smart monitoring. Namrata Sinha (IIT Delhi)
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