Chao Li | Data Processing | Research Excellence Award

Published on 28/11/202528/11/2025 by Research Data Analysis

Dr. Chao Li | Data Processing | Research Excellence Award

Qingdao Technical College | China

Dr. Chao Li is an engineering scholar and lecturer whose work bridges professional education and applied research in advanced sensing technologies. He holds a doctoral degree in engineering and completed his undergraduate studies in industrial equipment and control engineering, where he built a strong foundation in intelligent systems. Since 2019, he has focused extensively on indoor mapping and positioning, integrating theoretical innovation with engineering-driven problem-solving. His research experience includes serving as a core contributor to multiple provincial key R&D initiatives and collaborations with major technology enterprises, where he helped develop applied solutions for real-world industrial environments. He has published several SCI-indexed journal articles as a first or corresponding author and holds an invention patent that reflects the practical impact of his work. In addition to research, he is dedicated to teaching and curriculum development in professional courses, promoting hands-on learning and interdisciplinary thinking. His academic achievements demonstrate a commitment to advancing positioning technologies, enhancing industry–academia collaboration, and addressing emerging challenges in smart manufacturing and intelligent monitoring. Looking ahead, he aims to continue deepening his contributions to indoor mapping and positioning, driving innovation that supports both scientific development and technological progress.

Profile : Orcid

Featured Publications

Li, C., Chai, W., Zhang, M., Sun, Z., Shao, G., & Li, Q. (2023). “A novel visual-aided method to enhance the inertial navigation system of an intelligent vehicle in indoor environments.” IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/TIM.2023.3293884

Chai, W., Li, C., & Li, Q. (2023). “Multi-sensor fusion-based indoor single-track semantic map construction and localization.” IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2022.3226821

Li, C., Chai, W., Wu, Q., Li, J., Lin, F., Li, Z., & Li, Q. (2022). “A graph optimization enhanced indoor localization method.” In 2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE). https://doi.org/10.1109/cipae55637.2022.00055

Li, C., Chai, W., Yang, X., & Li, Q. (2022). “Crowdsourcing-based indoor semantic map construction and localization using graph optimization.” Sensors. https://doi.org/10.3390/s22166263

Chai, W., Li, C., Zhang, M., Sun, Z., Yuan, H., Lin, F., & Li, Q. (2021). “An enhanced pedestrian visual-inertial SLAM system aided with vanishing point in indoor environments.” Sensors. https://doi.org/10.3390/s21227428

Somnath Nandi | Data-informed Decision Making | Best Researcher Award

Published on 09/10/202509/10/2025 by Research Data Analysis

Mr. Somnath Nandi | Data-informed Decision Making | Best Researcher Award

Jadavpur University | India

Mr. Somnath Nandi is a PhD Research Scholar at the Additive Manufacturing Research Group (AMRG), CSIR-Central Mechanical Engineering Research Institute (CMERI), India, affiliated with the Academy of Scientific and Innovative Research (AcSIR). His research focuses on functionally graded material (FGM) development, mechanical and tribological characterization, and process optimization in Wire Arc Additive Manufacturing (WAAM). He has contributed to several funded projects, including the design of SS-Ni transition metals-based electrodes for green hydrogen generation, bimetallic structure development for Tata Steel, and remanufacturing of railway brake shoes. Mr. Nandi holds an M.E. in Production Management from Jadavpur University and a B.Tech in Mechanical Engineering from the Government College of Engineering and Textile Technology, Berhampore. His published works in reputed SCI-indexed journals such as Progress in Additive Manufacturing, Materials Letters, and Journal of Materials Engineering and Performance highlight his expertise in optimization, digital twins, and sustainable manufacturing. His research interests span metal additive manufacturing, tribology, hybrid manufacturing, and digital monitoring systems. A GATE-qualified engineer (2021, 2022), he is an active member of professional societies including IIM and IAENG. Mr. Nandi has authored 10+ scientific documents, achieving an h-index of 3 with over 45 citations, reflecting his growing impact in the field of advanced manufacturing.

Profiles : Orcid | Google Scholar

Featured Publications

Biswas, S., Nandi, S., Hussain, M. S., Mandal, A., & Mukherjee, M. (2025). “Influence of heat input on the interfacial characteristics of SS316L–In718 bi-metallic deposition for wire arc additive manufacturing.” Materials Letters.

Nandi, S., Biswas, S., & Mukherjee, M. (2025). “Optimization of Wire Arc Additive Manufacturing Parameters for Steel–Aluminum Bimetallic Interface: A Comparative Study of Metaheuristic and Machine Learning Approaches.” Journal of Materials Engineering and Performance, 35(6).

Ahammed, A. A. C. P., Nandi, S., Paul, A. R., Sreejith, B., MJ, J., & Mukherjee, M. (2025). “On the Characteristic Evaluation of Bimetallic Interface of Carbon Steel (EN31) and Aluminium (AA4043) for Wire Arc Additive Manufacturing.” Metals and Materials International, 1–18.

Pendokhare, D., Nandi, S., & Chakraborty, S. (2025). “A comparative analysis on parametric optimization of abrasive water jet machining processes using foraging behavior-based metaheuristic algorithms.” OPSEARCH, 1–42.

Emad Alsusa – IoT (Internet of Things) Analytics – Best Researcher Award

Published on 30/03/202430/03/2024 by Research Data Analysis

Prof. Emad Alsusa - IoT (Internet of Things) Analytics - Best Researcher Award

Manchester University - United Kingdom

Author Profile

Early Academic Pursuits

Prof. Emad Alsusa embarked on his academic journey with a solid foundation in Electrical and Electronic Engineering, earning a Bachelor of Science degree with First Class Honors from Salford University in 1995, following which he pursued a PhD in Communication Engineering at the University of Bath, graduating in 2000. His academic excellence was evident even during his foundational year at Salford University, where he was recognized as the Top Student Award recipient.

Professional Endeavors

Alsusa's professional trajectory spans across prestigious institutions and significant roles in academia. He commenced his postdoctoral research at the University of Edinburgh in 2000 and later held various academic positions at the University of Manchester, progressively advancing from Lecturer to his current position as Reader in the Department of Electrical and Electronic Engineering. Noteworthy are his visiting appointments, particularly at Khalifa University in the UAE and the Technical University of Dresden, which reflect his international collaboration and recognition in the field.

Contributions and Research Focus On IoT (Internet of Things) Analytics

As a prolific researcher, Alsusa has made significant contributions to the field of Communication Engineering, evident through his extensive publication record, comprising over 296 peer-reviewed papers and three patents. His research focus encompasses diverse areas such as interference exploitation, adaptive cross-layer techniques for 5G communication systems, networking protocols for energy consumption reduction, and radar systems. Notably, his work on interference exploitation and novel interference management techniques has garnered international attention, leading to collaborations and recognition from esteemed institutions worldwide.

Accolades and Recognition

Prof. Alsusa's contributions have been recognized through numerous accolades, including Best Paper Awards at prestigious conferences such as the IEEE International Symposium on Networks, Computers & Communications, the IEEE International Conference on Wireless Communications & Networking, and the IEEE International Symposium on Power Line Communications. His leadership roles in professional societies, editorships of esteemed journals, and invitations to deliver talks and keynote addresses underscore his prominence in the academic community.

Impact and Influence

Beyond individual achievements, Alsusa has made a profound impact through his mentorship and supervision of numerous research students, with over 32 postgraduate researchers under his guidance. His leadership in research groups and consortia, as well as his involvement in organizing conferences and workshops, highlights his commitment to fostering collaborative research environments and advancing the field collectively.

The IoT Analytics Excellence Award recognizes outstanding achievements in leveraging data insights from connected smart devices to drive innovation and efficiency.

Legacy and Future Contributions

Prof. Emad Alsusa's legacy lies in his multifaceted contributions to Communication Engineering, spanning research, education, and professional service. His pioneering work, combined with his mentorship and leadership, has positioned him as a prominent figure in the field. Looking ahead, Alsusa continues to drive innovation and collaboration, aiming to address emerging challenges in wireless communication systems and leave a lasting impact on academia and industry.