Sumaira Manzoor | Chemistry | Editorial Board Member

Published on by Best Paper Awards

Ms. Sumaira Manzoor | Chemistry | Editorial Board Member

Student | Institute of chemical sciences, Bahauddin zakariya university, Multan | Pakistan

Sumaira Manzoor is an accomplished researcher specializing in robotics, computer vision, and artificial intelligence, with a focus on developing advanced frameworks for autonomous systems and intelligent robots. Her work encompasses the design and deployment of edge-based vision models, human-following robots, and real-time inference systems, emphasizing efficiency and practical applicability in dynamic environments. She has made significant contributions to single and multi-object tracking, face mask recognition, semantic environment modeling, and robotic perception, leveraging both traditional machine vision and modern deep learning techniques. Manzoor has also explored ontology-based knowledge representation for cognitive robotic systems, providing comprehensive surveys and frameworks to enhance robot decision-making and interaction capabilities. Her research includes performance evaluations of cutting-edge detection models such as YOLOv3 and YOLOv4 in real-world applications, and she has developed innovative semantic SLAM and autonomous navigation frameworks aimed at high-level interaction and planning in complex environments. Throughout her career, she has published extensively in high-impact journals and presented her findings at leading international conferences, including Sensors, IEEE Access, Applied Sciences, and the International Conference on Control, Automation, and Systems (ICCAS). Her collaborative work with multidisciplinary teams has advanced the integration of AI-driven perception and reasoning in robotic systems, addressing practical challenges in mobile robotics and human-robot interaction. By bridging theoretical research and applied robotics, Manzoor’s contributions support the development of intelligent systems capable of autonomous decision-making, environment understanding, and adaptive interaction, positioning her as a leading figure in the field of AI-enabled robotics and computer vision. Her research not only advances technical knowledge but also has broad implications for real-world applications, including service robots, surveillance, healthcare, and autonomous navigation technologies.

Profile: ORCID

Featured Publications

  1. Manzoor, S., An, Y.-C., In, G.-G., Zhang, Y., Kim, S., & Kuc, T.-Y. (2023). SPT: Single pedestrian tracking framework with re-identification-based learning using the Siamese model. Sensors, 23(10), 4906. https://doi.org/10.3390/s23104906

  2. Manzoor, S., Kim, E.-J., Joo, S.-H., Bae, S.-H., In, G.-G., Joo, K.-J., Choi, J.-H., & Kuc, T.-Y. (2022). Edge deployment framework of GuardBot for optimized face mask recognition with real-time inference using deep learning. IEEE Access. https://doi.org/10.1109/ACCESS.2022.3190538

  3. Manzoor, S., Joo, S.-H., Rocha, Y. G., Bae, S.-H., Kim, E.-J., Joo, K.-J., & Kuc, T.-Y. (2021). Ontology-based knowledge representation in robotic systems: A survey oriented toward applications. Applied Sciences, 11(10), 4324. https://doi.org/10.3390/app11104324

  4. Manzoor, S., Joo, S.-H., Rocha, Y. G., Lee, H.-U., & Kuc, T.-Y. (2019). A novel semantic SLAM framework for humanlike high-level interaction and planning in global environment. CEUR Workshop Proceedings.

  5. Manzoor, S., Joo, S.-H., & Kuc, T.-Y. (2019). Comparison of object recognition approaches using traditional machine vision and modern deep learning techniques for mobile robot. International Conference on Control, Automation and Systems. https://doi.org/10.23919/ICCAS47443.2019.8971680

Sumaira Manzoor’s work advances intelligent robotics and AI-driven perception, enabling autonomous systems to interact safely and efficiently with complex environments. Her research bridges cutting-edge computer vision and real-world applications, driving innovation in robotics, healthcare, surveillance, and autonomous navigation while contributing to global technological progress.

Panduragan Vijayalakshmi | Chemistry | Best Researcher Award

Published on by Best Paper Awards

Dr. Panduragan Vijayalakshmi | Chemistry | Best Researcher Award

Assistant Professor | Saveetha Institute of Medical and Technical Sciences | India

Prof. Vijayalakshmi Pandurangan is an emerging researcher whose academic trajectory and scholarly contributions strongly support her suitability for a Best Researcher Award. Currently affiliated with the Center for Global Health Research at Saveetha University, Chennai, she has already established a solid research foundation following her Ph.D. in Chemistry from Tamil Nadu Open University (2024) and M.Sc. in Physical Chemistry from the University of Madras (2016). Her research portfolio demonstrates a consistent focus on advanced nanocomposites and photocatalytic materials with significant applications in environmental remediation, particularly in the degradation of pharmaceutical contaminants and pesticides under visible light. Prof. Pandurangan has authored multiple high-impact journal articles in reputed journals including Electrochimica Acta, Asian Journal of Chemistry, Emergent Materials, and Journal of Materials Research, showcasing her capability to conduct rigorous experimental work, mechanistic analysis, and performance evaluation. Her contributions include innovative fabrication of symmetric PANI/CeVO4 supercapacitors, graphitic carbon nitride/CdS heterostructures, and Z-scheme V2O5/g-C3N4/ZnO nanocomposites, all reflecting strong interdisciplinary expertise bridging chemistry, materials science, and environmental engineering. Moreover, her work has practical implications for sustainable environmental management, including the efficient degradation of amoxicillin, chlorpyrifos, and methylene blue, highlighting both scientific rigor and societal relevance. Her active engagement in collaborative research, evident from multi-author publications, further demonstrates her ability to work in team-based, solution-oriented scientific projects. Beyond research output, Prof. Pandurangan’s focus on emerging nanotechnologies and green chemistry solutions illustrates forward-looking, innovative thinking—a core criterion for recognizing excellence in research. Taken together, her impressive publication record, impactful scientific contributions, interdisciplinary expertise, and clear societal relevance firmly establish Prof. Vijayalakshmi Pandurangan as a highly deserving candidate for the Best Researcher Award, reflecting both her current achievements and future potential to advance the frontiers of chemistry and environmental nanotechnology.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

  1. Pandurangan, V., Visnu Sasithra. (2025). Visible-light-activated graphitic carbon nitride/CdS heterostructure for superior photocatalytic removal of amoxicillin. Asian Journal of Chemistry, 37(7), 34205.

  2. Abirami, S., Kumar, E., Vigneshwaran, B., Pandurangan, V. (2025). Fabrication of symmetric PANI/CeVO4 nanocomposites supercapacitor device: Electrochemical characterization and performance evaluation. Electrochimica Acta, 146512.

  3. Pandurangan, V. (2025). Photocatalytic nanocomposites for amoxicillin degradation: Mechanistic insights, kinetics, and environmental implications. Bangladesh Journal of Medical Science, 24(7), 2025-2035.

  4. Pandurangan, V., Ramana Gangireddy, Lakshmi Thangavelu, S. Visnu. (2025). Photocatalytic performance of SnO2 nanoparticles for the efficient degradation of chlorpyrifos pesticide under visible light irradiation. Asian Journal of Chemistry, 37(5), 33777.

  5. Pandurangan, V., Abirami Selvakumar, Vigneshwaran Baskaran, Royapuram Veeraragavan Geetha. (2025). Enhanced photocatalytic activity of Z-scheme ZrO2/V2O5 nanocomposite with graphite carbon nitride for effective degradation of amoxicillin and crystal violet under visible light. Emergent Materials, 8(4), 1025.