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

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

Investigador, INTA, Spain

Inmaculada Mohíno 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. 🌟 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 Master’s degree in Information and Communication Technologies (2015). 📚 She culminated her academic journey with a Ph.D. in Information and Communication Technologies (2017, with honors) from the University of Alcalá, Madrid, Spain. 🎓

Experience

She has built a solid career in academia and research, having worked at the Signal Theory and Communications Department of the University of Alcalá, where she was part of the Applied Signal Processing research group until 2021. 📡 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 master’s projects, shaping future innovators. 👩‍🏫

Research Focus

Inmaculada’s research revolves around physiological signal processing, pattern recognition, emotion recognition, and stress detection. 💡 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. 💻

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. 🏆 Her efforts in academic and industrial projects further solidify her reputation as a leading researcher.

Publication Top Notes

Inmaculada Mohíno Herranz has authored various impactful papers. She has published nine journal papers, six of which are indexed in the Journal Citation Report. 📄 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 – 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 – Published in Expert Systems with Applications (2024), this article has no citations yet.

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

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

A wrapper feature selection algorithm: An emotional assessment using physiological recordings from wearable sensors – 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. 🌍📚

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. 🎓

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 Africa’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. 🔍

Research Focus

Professor Lebakeng’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. 📖🔐

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, “They Blunted Us: June 16, Exile and Homecoming,” published by Ziable Publisher in 2021. 🏆📖

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).

 

 

Niansong Mei | microelectronics | Best Researcher Award

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Assoc Prof. Niansong Mei | microelectronics | Best Researcher Award

Prof, Shanghai Advanced Research Institute, Chinese Academy of Sciences, China

Niansong Mei is an accomplished Associate Professor at the Shanghai Advanced Research Institute, Chinese Academy of Sciences. With a strong foundation in microelectronics, he has significantly contributed to the fields of high-performance integrated circuits and hardware security. 🌟

Publication Profile

Google Scholar

 

Education

Niansong received his B.S. degree in Physical Science and Technology from Soochow University, China, in 2001. He furthered his education with an M.S. degree in Microelectronics from Southeast University, China, in 2004, and completed his Ph.D. in Microelectronics at Fudan University, China, in 2011. 🎓

Experience

After earning his Ph.D., Niansong joined the Shanghai Advanced Research Institute, Chinese Academy of Sciences, as an Associate Professor. Prior to this, he served as a group leader at Semiconductor Manufacturing International Corporation (SMIC) from 2004 to 2008, where he gained valuable industry experience. 🏢

Research Focus

His research interests encompass high-performance integrated circuits and systems, hardware security, and blockchain technology. Niansong aims to advance the state of the art in these critical areas through innovative research. 🔍

Awards and Honours

Niansong has received various accolades for his contributions to the field, reflecting his commitment to excellence in research and education. 🏆

Publication Top Notes

Vaq-based tri-level switching scheme for SAR ADC

A 920-MHz dual-mode receiver with energy harvesting for UHF RFID tag and IoT

A review of converter circuits for ambient micro energy harvesting

A 16.4 nW, sub-1 V, resistor-less voltage reference with BJT voltage divider

CMOS high linearity PA driver with an on-chip transformer for W-CDMA application

 

Yusuf KARADEDE | Artificial Intelligence | Best Researcher Award

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Assist Prof Dr. Yusuf KARADEDE | Artificial Intelligence | Best Researcher Award

Doctor, Gaziantep Islam Science and Technology University, Faculty of Engineering and Natural Sciences, Department of Industrial Engineering, 27010 Gaziantep, Turkey

Profile

Scopus

Strengths for the Award

Dr. Yusuf Karadede’s research in stochastic processes, heuristic algorithms, and stochastic optimization underscores his deep expertise and innovative approach in industrial engineering. His doctoral thesis and subsequent work have made significant contributions to the fields of simulation and stochastic modeling. Notably, his publications in esteemed journals like Soft Computing and Energy highlight his ability to tackle complex problems with advanced computational techniques.

Dr. Karadede’s diverse range of scientific activities demonstrates his commitment to advancing both theoretical and applied aspects of his field. His development of novel models such as the ProFiVaS model for financial indicators, showcased in his recent publication in Expert Systems with Applications, exemplifies his forward-thinking approach and impact on financial modeling.

Areas for Improvement

While Dr. Karadede’s research is highly impactful, expanding the scope of his research to include interdisciplinary approaches could further enhance the applicability of his work. For instance, integrating his stochastic models with emerging technologies like machine learning could offer new insights and broaden the impact of his research. Additionally, increasing collaboration with international research groups might provide new perspectives and enhance the global reach of his contributions.

Academic Background:

  • Bachelor’s Degree: Mathematics, Suleyman Demirel University, 2006-2010
  • Master’s Degree: Industrial Engineering, Suleyman Demirel University, 2011-2014
  • Doctorate (Ph.D.): Industrial Engineering, Suleyman Demirel University, 2015-2020

Professional Experience:

  • Kafkas University: Faculty of Engineering and Architecture, Department of Industrial Engineering (2014-2015)
  • Suleyman Demirel University: Faculty of Engineering, Department of Industrial Engineering (2015-2020)
  • Gaziantep Islam Science and Technology University: Department of Industrial Engineering (2020-Present)

Research Interests:

  • Stochastic Processes and Models
  • Simulation
  • Heuristic Algorithms
  • Stochastic Optimization

 Awards and Scholarships:

  • TÜBİTAK 2210-C Program Scholarship (2013-2014)
  • TÜBİTAK 2211-C Program Scholarship (2018-2020)

Publications Top Notes:

Karadede, Y., Özdemir, G. (2018). A hierarchical soft computing model for parameter estimation of curve-fitting problems. Soft Computing, 22(20), 6937-6964.

Karadede, Y., Ozdemir, G., Aydemir, E. (2017). Breeder Hybrid Algorithm Approach for Natural Gas Demand Forecasting Model. Energy, 141, 1269-1284.

Akdeniz, F., Biçil, M., Karadede, Y., Özbek, F. E., Özdemir, G. (2018). Application of real valued genetic algorithm on prediction of higher heating values of various lignocellulosic materials. Energy, 160, 1047-1054.

Karadede, Y. (2024). A novel stochastic ProFiVaS model based on decomposition of stochastic Vasicek differential equation for modeling and simulating financial indicators. Expert Systems with Applications

Conclusion

Dr. Yusuf Karadede’s distinguished research in stochastic processes and optimization positions him as a strong candidate for the Best Researcher Award. His innovative contributions, including high-impact publications and successful research projects funded by prestigious institutions like TÜBİTAK, highlight his significant achievements and potential for future breakthroughs. His work not only advances theoretical understanding but also offers practical solutions to real-world problems, making him a deserving nominee for this esteemed accolade.

S Anita Shanthi | Fuzzy sets and systems | Best Researcher Award

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Dr. S Anita Shanthi | Fuzzy sets and systems | Best Researcher Award

Associate Professor, Annamalai University, India

Dr. S Anita Shanthi, an Associate Professor at Annamalai University, India, has been honored with the prestigious Best Researcher Award for her pioneering work in the field of fuzzy sets and systems. 🏆 Her research contributions have significantly advanced our understanding of fuzzy logic and its applications, particularly in the realms of decision-making, pattern recognition, and artificial intelligence. Dr. Shanthi’s dedication to pushing the boundaries of knowledge and her commitment to excellence in research have garnered widespread recognition within the academic community. Her innovative approaches and insights continue to inspire and shape the future of fuzzy logic research. 🌟

Profile

Google Scholar

Educational Details 📚

Dr. S. Anita Shanthi pursued her Doctor of Philosophy in Mathematics at Annamalai University, Chidambaram, after completing her Master of Philosophy in Mathematics at Ramanujan Institute for Advanced Study in Mathematics, Madras University, Chennai. Her academic journey began with a Master of Science in Mathematics from Seethalakshmi Ramasamy College, Bharathidasan University, Thiruchirapalli.

Experience Details 💼

Dr. S. Anita Shanthi has been serving as an Associate Professor in Engineering Mathematics at Annamalai University, Tamilnadu, since January 2018. Prior to this, she held the position of Assistant Professor at the same institution for thirteen years, from January 2005 to 2018.

Research Interests 🔍

Dr. Shanthi’s research interests primarily focus on fuzzy mathematics, particularly in the areas of fuzzy normed linear spaces, intuitionistic fuzzy sets, fuzzy topology, and their applications in decision-making and pattern recognition.

Publications Top Notes  📝

“Interval valued fuzzy nnormed linear space” (2008)

“Some fixed point theorems in intuitionistic fuzzy n-normed linear spaces” (2009)

“On lacunary statistical convergence in intuitionistic fuzzy n-normed linear spaces” (2011)

“A decision making method based on similarity measure of interval valued intuitionistic fuzzy soft set of root type” (2015)

“A Study on Q-Level Subsemiring of (Q,L)- Fuzzy Subsemiring of a Semiring” (2015)