Xiaolin Yang | Machine learning | Best Researcher Award

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Dr. Xiaolin Yang | Machine learning | Best Researcher Award

China university of mining and technology, China

๐Ÿ“ˆ Xiaolin Yang is a highly skilled Business Analyst with a Ph.D. in Mineral Process Engineering and specialized expertise in mineral separation and industrial production optimization. Known for his analytical approach and technical knowledge, Xiaolin currently serves as a Postdoctoral Researcher at Henan Investment Group, where he provides valuable industry insights, investment assessments, and strategies for process improvement. His background in machine learning and image analysis supports his innovative contributions to mineral processing.

Publication Profile

ORCID

Education

๐ŸŽ“ Xiaolin Yang completed his Bachelorโ€™s degree in Mineral Process Engineering at China University of Mining and Technology (2015-2019) and later earned a Doctorate in the same field from the same institution (2019-2024). His research spans mineral separation techniques, machine learning applications, and image analysis, all aimed at advancing processing efficiency.

Experience

๐Ÿ’ผ Xiaolin is currently a Postdoctoral Researcher at Henan Investment Group, where he contributes to industry research, investment evaluation, and production optimization. His role includes preparing assessment reports, providing strategic investment guidance, managing project feasibility studies, and enhancing industrial production processes.

Research Focus

๐Ÿ”ฌ Xiaolinโ€™s research focuses on mineral processing, applying machine learning and image analysis to improve separation processes and equipment. His studies advance understanding of mineral properties and optimization techniques, contributing to the fieldโ€™s progression toward smarter, data-driven methodologies.

Awards and Honors

๐Ÿ… Xiaolin has been recognized for his contributions to mineral process engineering, having published in prominent journals like Journal of Materials Research and Technology and Expert Systems with Applications. His work on froth image analysis and coal flotation ash determination highlights his dedication to innovation in mineral processing.

Publication Highlights

A comparative study on the influence of mono, di, and trivalent cations on chalcopyrite and pyrite flotation (2021). Published in Journal of Materials Research and Technology [Cited by 50 articles].

Ash determination of coal flotation concentrate by analyzing froth image using a novel hybrid model based on deep learning algorithms and attention mechanism (2022). Published in Energy [Cited by 35 articles].

Multi-scale neural network for accurate determination of the ash content of coal flotation concentrate using froth images (2024). Published in Expert Systems with Applications [Cited by 20 articles].

Marรญa Inmaculada Mohino-Herranz | Artificial Intelligence| Best Research Article Award

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Dr. Marรญa Inmaculada Mohino-Herranz | Artificial Intelligence| Best Research Article Award

Investigador, INTA, Spain

Inmaculada Mohรญno Herranz is a distinguished researcher in the fields of signal processing, pattern recognition, and emotion detection. She currently works at the National Institute of Aerospace Technology (INTA), bringing her extensive expertise in physiological signal analysis to the forefront of innovative research. ๐ŸŒŸ Her career reflects a commitment to advancing technology and science, contributing to both academia and industry.

Publication profile

Scopus

Education

Inmaculada holds an impressive academic background, beginning with her M.Eng. in Telecommunication Engineering (2010), followed by a second degree in Electronics Engineering (2012), and a Masterโ€™s degree in Information and Communication Technologies (2015). ๐Ÿ“š She culminated her academic journey with a Ph.D. in Information and Communication Technologies (2017, with honors) from the University of Alcalรก, Madrid, Spain. ๐ŸŽ“

Experience

She has built a solid career in academia and research, having worked at the Signal Theory and Communications Department of the University of Alcalรก, where she was part of the Applied Signal Processing research group until 2021. ๐Ÿ“ก Currently, she continues her research at INTA, contributing to projects related to aerospace technology. She has also been actively involved in supervising final degree and masterโ€™s projects, shaping future innovators. ๐Ÿ‘ฉโ€๐Ÿซ

Research Focus

Inmaculadaโ€™s research revolves around physiological signal processing, pattern recognition, emotion recognition, and stress detection. ๐Ÿ’ก Her work is especially significant in understanding how physiological data can be used to monitor emotional states, which has applications ranging from healthcare to technology-enhanced well-being. ๐Ÿ’ป

Awards and Honors

Inmaculada has received recognition for her outstanding contributions to the field of Information and Communication Technologies, including supervising several successful degree projects and participating in numerous public and private-funded research initiatives. ๐Ÿ† Her efforts in academic and industrial projects further solidify her reputation as a leading researcher.

Publication Top Notes

Inmaculada Mohรญno Herranz has authored various impactful papers. She has published nine journal papers, six of which are indexed in the Journal Citation Report. ๐Ÿ“„ She has also written a book chapter and around 20 conference papers, showcasing her active engagement in research dissemination.

Metrological analysis on measuring techniques used to determine solubility of solids in supercritical carbon dioxide โ€“ Published in Measurement: Journal of the International Measurement Confederation (2025), this article has no citations yet.

Initializing the weights of a multilayer perceptron for activity and emotion recognition โ€“ Published in Expert Systems with Applications (2024), this article has no citations yet.

Introducing the ReaLISED Dataset for Sound Event Classification โ€“ Published in Electronics (2022), cited by two articles.

Linear detector and neural networks in cascade for voice activity detection in hearing aids โ€“ Published in Applied Acoustics (2021), cited by one article.

A wrapper feature selection algorithm: An emotional assessment using physiological recordings from wearable sensors โ€“ Published in Sensors (2020), this open-access article focuses on emotion assessment using physiological data from wearable sensors.

Josiah Lebakeng | Intelligence | Best Research Article Award

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Prof. Josiah Lebakeng | Intelligence | Best Research Article Award 

Professor, Thabo Mbeki African School of Public and International Affairs, South Africa

Teboho Josiah Lebakeng is a distinguished Professor at the Thabo Mbeki African School of Public and International Affairs, UNISA, in South Africa. He specializes in Strategic Intelligence and Human Security, imparting knowledge on statecraft, intelligence gathering, analysis, and governance. Prior to his current role, he lectured in sociology and research methodology at the University of Limpopo and had teaching appointments at both Vista University (now University of Johannesburg) and the University of Pretoria. ๐ŸŒ๐Ÿ“š

Publication Profile

ORCID

Education

Professor Lebakeng holds a PhD in Sociology from the University of Limpopo, an MSc in Human Services from Springfield College, an MA in Sociology from the University of Dar es Salaam, and a BA in Sociology from The American University in Cairo. His academic journey reflects a strong foundation in social sciences and research methodologies. ๐ŸŽ“

Experience

His professional journey includes significant roles in the South African State Security Agency, where he served as Manager of Production and Strategic Research and Analysis, and as a Senior Regional Analyst. Additionally, he was seconded as Political Counsellor at South Africaโ€™s Permanent Mission to the UN in New York and led the SADC Preventative Mission in Lesotho. He has extensive experience engaging with international intelligence services. ๐Ÿ”

Research Focus

Professor Lebakengโ€™s research interests encompass Strategic Intelligence, Legislative Oversight, and African Epistemology. He is committed to advancing knowledge in these fields, emphasizing the importance of human security and good governance in contemporary society. ๐Ÿ“–๐Ÿ”

Awards and Honors

He has received recognition for his contributions to academia and intelligence, including various awards related to his scholarly work and his autobiography, โ€œThey Blunted Us: June 16, Exile and Homecoming,โ€ published by Ziable Publisher in 2021. ๐Ÿ†๐Ÿ“–

Publication Top Notes

Policy sciences and the quest for human security in Africa (Journal of Public Administration, 2023)

The nature and issues in intelligence, with reference to the South African civilian intelligence services (African Security Review, 2023)

Lebakeng, T.J. & Matebese-Notshulwana, K.M. (2023). Doctoral Reflections of Journeys in the Humanities and Social Sciences in South African Universities (Ziable Publishers).

Repurposing the university in Africa in the context of the tenacity of an explicitly racist epistemology in Ndofirepi, A. P., Vurayai, S., and Erima, G. (Eds.). Unyoking African University Knowledge: A Pursuit of the Decolonial Agenda (Brill, 2023).

 

 

NEHA KATIYAR | Machine Learning | Best Research Article Award

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MS. NEHA KATIYAR | Machine Learning | Best Research Article Award

RESEARCH SCHOLAR, Bennett university, India

 

Neha Katiyar is an Assistant Professor at Noida Institute of Technology, Greater Noida, India. With a robust background in Information Technology and Computer Science, she has contributed significantly to academia through teaching, research, and project management.

Profile

Scopus

Education

๐ŸŽ“ Doctorate
Bennett University, Greater Noida (July 2023 โ€“ Present)
Department: Computer Science & Engineering

๐ŸŽ“ Master of Technology
Madan Mohan Malviya University of Technology, Gorakhpur (Aug 2018 โ€“ July 2020)
Department: Information Technology and Computer Application
Percentage: 69% (First Division)

๐ŸŽ“ Bachelor of Technology
Sir Chootu Ram Institute of Engineering & Technology, Meerut (July 2015 โ€“ June 2018)
University: Chaudhary Charan Singh University, Meerut, U.P
Course: Information Technology
Percentage: 74% (First Division)

๐ŸŽ“ Diploma in Engineering
Government Girls Polytechnic, Lucknow (July 2010 โ€“ December 2013)
University: Board of Technical Education, Lucknow UP
Course: Information Technology
Percentage: 70% (First Division)

๐ŸŽ“ High School
Soni Pariya Inter College, Farrukhabad (Apr 2009 โ€“ Mar 2010)
Board: Board of High School and Intermediate Education, U.P.
Percentage: 58% (Second Division)

Experience

๐Ÿ’ผ Assistant Professor
Noida Institute of Technology, Greater Noida (11 April 2022 โ€“ 17 May 2023)
Responsibilities included evaluation of copies, research work, academic work, and preparation of question banks and presentations.

๐Ÿ’ผ Academic Associate
Indian Institute of Management, Rohtak (22 July 2021 โ€“ 7 April 2022)
Assisted faculties, conducted empirical research, managed conferences, and evaluated copies.

๐Ÿ’ผ Research Assistant
Ajay Kumar Garg Engineering College, Ghaziabad (12 Oct 2020 โ€“ 16 Jul 2021)
Worked on a project titled โ€œCompressed parallel wavelet tree based on semantic searchโ€ funded by the Council of Science And Technology, Uttar Pradesh (UPCST).

Research Interest

๐Ÿ”ฌ Nehaโ€™s research interests include Cyber Security, Internet of Things (IoT), Machine Learning, and Artificial Intelligence. She has actively participated in various projects and research works, contributing to advancements in these fields.

Publications Top Notes

๐Ÿ“š Neha has authored several research papers and articles in reputed journals and conferences. Below are some of her notable publications:

Diabetes detection using IoT techniques and platform: A Survey โ€“ Published in the 1st International Conference on Recent Trends in Computer Science and Information Technology (ICRCSIT-20) at St. Martinโ€™s Engineering College Secunderabad Telangana, on 17-18 June 2020.

A review: Target Based Sentiment Analysis using Machine Learning โ€“ Published in the 4th International Conference on Microelectronics and Telecommunications at SRM Institute of Science and Technology NCR Campus, on 26-27 Sept. 2020 (Springer Conference).

Index Optimization using Wavelet Tree and Compression โ€“ Published in the 2nd International Conference on Data Analytics and Management Conference (ICDAM 2021) at Panipat Institute of Engineering and Technology, on 26 June 2021.

A Survey on Wavelet Tree ensembles with Machine Learning and its classification โ€“ Published in 2021 at Sreyas Institute of Engineering and Technology, Hyderabad, on 9-10 July 2021.

A perspective towards 6G Networks โ€“ Published in the 5th ICMETE21 at SRM Institute of Science and Technology NCR Campus, on 24-25 Sept. 2021 (Springer Conference).

Trending IoT platform Middleware layer โ€“ Published in Taylor and Francis Group Journal on 3 May 2023.