Fan Xiao | Data Processing | Research Excellence Award

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Assoc. Prof. Dr. Fan Xiao | Data Processing | Research Excellence Award

Sun Yat-sen University | China

Xiao Fan is an Associate Professor and PhD advisor at the School of Earth Sciences and Engineering, Sun Yat-sen University, recognized for his contributions to mineral exploration, mathematical geoscience, and data-driven Earth system analysis. He received his bachelor’s and doctoral degrees in mineral resource exploration from China University of Geosciences (Wuhan), with joint doctoral training at the University of Ottawa. His research focuses on mineral system modeling, multi-physics numerical simulation, fractal and singularity analysis, machine-learning-based mineral prospectivity, and knowledge-driven geoscientific data integration. As a core member of major national innovation teams, he has led or participated in several national and provincial research projects and contributed to the creation of an advanced UAV-based geophysical–geochemical acquisition and processing platform. He has published 54 documents with 986 citations from 706 sources and holds an h-index of 19, along with multiple patents, software copyrights, and highly cited works in leading SCI journals. He serves on editorial boards and scientific committees, including roles as youth editor and guest editor, and has organized sessions for the International Geological Congress. His work advances quantitative mineral prediction and computational geoscience, contributing impactful models and methods that enhance understanding of mineralization processes and exploration efficiency.

Profiles : Scopus | Orcid

Featured Publications

(2025). “Three-Dimensional Prospectivity Modeling of Jinshan Ag-Au Deposit, Southern China by Weights-of-Evidence.” Journal of Earth Science.

(2025). “Lithologic mapping of intermediate-acid intrusive rocks in the eastern Tianshan Gobi Desert using machine learning and multi-source data fusion.” Earth Science Frontiers.

(2025). “A DFT study on mechanisms of indium adsorption on sphalerite (100), (110), and (111) surfaces: Implications for critical metal mineralization.” Ore Geology Reviews.

(2025). “Data-driven expeditious mapping and identifying granites in covered areas via deep machine learning: A case study on the implications for geodynamics and mineralization of Eastern Tianshan.” Lithos.

(2025). “Numerical Modeling and Exploration Data Coupled-driven Mineral Prospectivity Mapping: A Case Study of Fankou Pb-Zn Deposit.” Geotectonica et Metallogenia.

Dinesh Babu Vunnava – Big Data Analytics – Best Researcher Award

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Dr. Dinesh Babu Vunnava - Big Data Analytics - Best Researcher Award

Rv Institute Of Technology,Guntur - India

Author Profile

Early Academic Pursuits

Mr. Dr. Vunnava Dinesh Babu embarked on his academic journey with a Bachelor's degree in Technology from NRI Institute of Technology. This laid the foundation for his passion for computer science and engineering. Following his undergraduate studies, he pursued a Master's degree in Computer Science from St. Mary's Group of Institutions. This period allowed him to delve deeper into the intricacies of his field, fostering his enthusiasm for learning and research.

Professional Endeavors

Armed with a solid educational background, Mr. Dinesh Babu transitioned into the professional realm with an eagerness to make a difference. Joining Chebrolu Engineering College as the Head of Computer Science and Engineering Department marked a significant milestone in his career. With over 11 years of experience in academia, research, teaching, training, and consultancy, he brings a wealth of knowledge and expertise to his role. His dedication to continuous learning is evident in his pursuit of a Ph.D. from Saveetha Institute of Medical and Technical Science in Chennai.

Contributions and Research Focus

Mr. Dinesh Babu's contributions extend beyond the confines of the classroom. He is actively involved in guiding and conducting research on various aspects of technology, with a particular emphasis on cryptography and network security. His research papers and textbooks serve as a testament to his educational inclinations and commitment to advancing knowledge in his field. By exploring new avenues and pushing the boundaries of technological understanding, he inspires both his students and peers alike.

Accolades and Recognition

Throughout his career, Mr. Dinesh Babu has garnered recognition for his exemplary work and dedication to education. His contributions have been acknowledged through accolades and awards, highlighting his impact in the academic community. These accolades serve as a testament to his unwavering commitment to excellence and innovation in education.

Impact and Influence

As the Head of the Computer Science and Engineering Department, Mr. Dinesh Babu plays a pivotal role in shaping the academic experiences of his students. His efforts to foster a positive, encouraging, and effective learning environment are evident in the success of his students. By offering industry internships and value-added courses, he equips students with the skills and knowledge needed to thrive in the ever-evolving field of technology. His influence extends beyond the classroom, inspiring future generations of technologists to pursue their passions and make meaningful contributions to society.

Legacy and Future Contributions

Mr. Dinesh Babu's legacy is one of excellence, dedication, and innovation in education. Through his relentless pursuit of knowledge and commitment to student success, he leaves an indelible mark on the academic community. As he continues his journey, his future contributions are poised to further enrich the field of computer science and engineering. By remaining at the forefront of research and education, he ensures that his impact will be felt for years to come, shaping the minds of future generations and driving progress in technology and beyond.

Notable Publication

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

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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.

Citations

  • Citations   4505
  • h-index       36
  • i10-index    105

Notable Publication