Xiaona Song | Regulating Technology | Best Researcher Award

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Prof Dr. Xiaona Song | Regulating Technology | Best Researcher Award

Professor at Regulating Technology, Henan University of Science and Technology, China

Prof. Dr. Xiaona Song is a prominent researcher in control theory and dynamic systems. With a PhD from Nanjing University of Science and Technology, they have held positions at Henan University of Science and Technology in China. Their work focuses on network-based estimation, synchronization of dynamic networks, and adaptive control of nonlinear systems. Prof. Dr. Song has published extensively, holds software copyrights and patents, and serves as an associate editor and reviewer for several journals. Their contributions have had a significant impact on the field.

Professional Profiles:

Education:

Prof. Dr. Xiaona Song’s education includes a PhD from Nanjing University of Science and Technology, Nanjing, China (2006-2011), and visiting scholar positions at Utah State University, Utah, USA (2009), Southern Illinois University, Carbondale, USA (2016-2017), and Yeungnam University, Daegu, South Korea (2019).

Experience:

Prof. Dr. Xiaona Song has a rich and diverse background in academia and research, spanning over a decade. They began their career as a Lecturer at Henan University of Science and Technology in Luoyang, China, where they taught from June 2011 to October 2013. During this time, they contributed to the university’s academic and research activities, gaining valuable experience in teaching and mentoring students. In October 2013, Prof. Dr. Song was promoted to the position of Associate Professor, where they continued to excel in their research and teaching roles. Their work focused on stability analysis and control for fractional-order systems and fuzzy systems, as well as control and synchronization of fractional-order chaotic systems. Prof. Dr. Song’s dedication to their field was further demonstrated through their involvement in several research projects supported by the National Natural Science Foundation of China. In December 2019, Prof. Dr. Song was appointed as a Professor at Henan University of Science and Technology, a position they currently hold. Throughout their career, Prof. Dr. Song has been recognized for their contributions to the field, including their role as an Associate Editor for several journals and their work as a reviewer for numerous publications. Their commitment to research and education continues to make a significant impact in their field and beyond.

Awards & Honors:

Prof. Dr. Xiaona Song has been honored with several awards in recognition of their outstanding contributions to academia and research. They have received the Outstanding Young Scientist Award from Henan Province, China, acknowledging their significant achievements and potential in the field. Additionally, Prof. Dr. Song has been awarded the Excellence in Research Award from Henan University of Science and Technology, Luoyang, China, highlighting their excellence in research activities and academic endeavors. Their work has also been recognized with a Best Paper Award from the International Conference on Control Systems and Robotics, underscoring the impact of their research in the scientific community. These awards serve as a testament to Prof. Dr. Song’s dedication, innovation, and excellence in their field.

Research Interest:

Prof. Dr. Xiaona Song’s research interests encompass several areas of applied mathematics and engineering. They are particularly focused on stability analysis and control for fractional-order systems and fuzzy systems. Additionally, their research includes control and synchronization of fractional-order chaotic systems, which has applications in various fields such as secure communication and data encryption. Another area of interest for Prof. Dr. Song is image processing, where they explore techniques to enhance the quality and accuracy of images. Their work in these areas contributes to the advancement of knowledge and technologies that benefit society.

Achievements:

Prof. Dr. Xiaona Song has achieved significant milestones in their academic and research career, demonstrating a commitment to excellence and innovation. One of their notable achievements includes the development of High-Precision Panoramic Stitching Software, which enables the seamless stitching of panoramic images with high precision, enhancing the quality of panoramic views. Additionally, Prof. Dr. Song has obtained patents for several innovative products, such as adjustable size trash cans, height-adjustable multi-purpose crutches, and hangable folding lift desks, showcasing their creativity and contribution to product development. Furthermore, Prof. Dr. Song has demonstrated strong research leadership by leading multiple research projects supported by the National Natural Science Foundation of China, showcasing their ability to secure funding and lead successful research initiatives. They have also authored several books and papers on stability analysis and control for fractional-order systems and fuzzy systems, as well as control and synchronization of fractional-order chaotic systems, contributing significantly to the advancement of knowledge in these areas.

Publications:

  1. A new image encryption algorithm based on the fractional-order hyperchaotic Lorenz system
    • Z Wang, X Huang, YX Li, XN Song
    • Chinese Physics B 22 (1), 010504
    • 126 citations
    • 2013
  2. Network-based passive estimation for switched complex dynamical networks under persistent dwell-time with limited signals
    • Y Wang, X Hu, K Shi, X Song, H Shen
    • Journal of the Franklin Institute 357 (15), 10921-10936
    • 99 citations
    • 2020
  3. Extended dissipative synchronization for semi-Markov jump complex dynamic networks via memory sampled-data control scheme
    • YA Liu, J Xia, B Meng, X Song, H Shen
    • Journal of the Franklin Institute 357 (15), 10900-10920
    • 98 citations
    • 2020
  4. Event-driven NN adaptive fixed-time control for nonlinear systems with guaranteed performance
    • X Song, P Sun, S Song, V Stojanovic
    • Journal of the Franklin Institute 359 (9), 4138-4159
    • 90 citations
    • 2022
  5. Neuro-fuzzy-based adaptive dynamic surface control for fractional-order nonlinear strict-feedback systems with input constraint
    • S Song, B Zhang, X Song, Z Zhang
    • IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (6), 3575-3586
    • 89 citations
    • 2019
  6. Adaptive command filtered neuro-fuzzy control design for fractional-order nonlinear systems with unknown control directions and input quantization
    • S Song, JH Park, B Zhang, X Song, Z Zhang
    • IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (11), 7238-7249
    • 85 citations
    • 2020
  7. Robust fault‐tolerant control of uncertain fractional‐order systems against actuator faults
    • H Shen, X Song, Z Wang
    • IET Control Theory & Applications 7 (9), 1233-1241
    • 85 citations
    • 2013
  8. Image encryption based on a delayed fractional-order chaotic logistic system
    • Z Wang, X Huang, N Li, XN Song
    • Chinese Physics B 21 (5), 050506
    • 82 citations
    • 2012
  9. Data-driven control of hydraulic servo actuator based on adaptive dynamic programming
    • V Djordjevic, V Stojanovic, H Tao, X Song, S He, W Gao
    • Discrete & Continuous Dynamical Systems-Series S 15 (7)
    • 81 citations
    • 2022
  10. Event-triggered H∞ control for networked discrete-time Markov jump systems with repeated scalar nonlinearities
    • X Song, Y Men, J Zhou, J Zhao, H Shen
    • Applied Mathematics and Computation 298, 123-132
    • 80 citations
    • 2017

 

 

 

Mrs. Maria Arostgei | Artificial Intelligence | Best Researcher Award

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Mrs. Maria Arostgei | Artificial Intelligence | Best Researcher Award

PhD Candidate at Artificial Intelligence, Tecnalia Research Innovation, Spain

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Maria Arostegi 🎓 earned her mathematics degree (Number Theory) in 1995 from EHU-UPV (Basque Country University), completing her final year of studies at L’Università degli Studi di Milano in Milano, Italy 🇮🇹. In 1996, she completed the Course on Pedagogical Aptitude. Over the next two years, she received grants to work in the mechanics department of LABEIN, focusing on Virtual Reality. She then obtained another grant from the “Bizkaiko Foru Aldundia” to further her training on Virtual Reality tools at VRAC (Virtual Reality Applications Center, Ames-IA), where she worked with the Carolina Cruz-Neira research team. During this period, she focused on geometric modeling, software navigation, and photo-realistic treatment.

Experience:

From then until 2017, Maria worked on various projects related to 3D modeling tools, graphic interaction, computation, and simulation in different scenarios. She specialized in developing software predictive tools for rolling mills, continuous casting, and reheating furnaces. Specifically, she developed the heating module in 1D, 2D, and 3D, as well as software interfaces for these steel processes. This involved mathematical development of the three-dimensional equations of heat transfer in steel processes and the (2D and 3D) View factor related to the geometrical shapes in the reheating furnace process for calculating radiation heat transfer.

Other Activity:

In 2017, Maria shifted her focus to studying mathematical algorithms for data analytics, machine learning, and big data technologies (such as Hadoop, Spark, etc.), receiving training in “Big data, Business Intelligence, and Data Science” through an online Master’s degree issued by INESEM. Since then, she has participated in several AI projects using techniques such as Artificial Intelligence, Machine Learning, clustering schemes, dimensional reduction, unbalanced strategies, regressive schemes, linear, lasso, elastic-net, SVMs, CART, RF, and assembly methods (bagging and boosting).

Currently, Maria is working on her thesis titled “Explainable continual learning over data streams” as part of the PhD program at UPV/EHV in the field of Information and Communication Technologies in Mobile Networks, while also working part-time.

 

Assoc Prof Dr. Shabana Urooj | Electrical Engineering | Women Researcher Award

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Assoc Prof Dr. Shabana Urooj | Electrical Engineering | Women Researcher Award

Associate Professor at Electrical Engineering , Princess Nourah bint Abdulrahman University , Saudi Arabia

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

  1. Ph.D. in Electrical Engineering (2011) – Department of Electrical Engineering, Jamia Millia Islamia (A Central University) in New Delhi, India. Her thesis was titled “Design & Development of Computer-based Biophysical Model for Diagnosing Pulmonary Edema.”
  2. Master of Technology in Electrical Engineering with specialization in Instrumentation & Control (2003) – Aligarh Muslim University in Aligarh, Uttar Pradesh, India. Her dissertation focused on the “Design of Sub-optimal Controller for Linear Time Invariant System incorporating Sensitivity Considerations.”
  3. Bachelor of Engineering in Electrical Engineering (1998) – Aligarh Muslim University in Aligarh, Uttar Pradesh, India.

Shabana Urooj ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 2123, Since 2018: 1488
  • Citations: 2123 (All), 1488 (Since 2018)
  • h-index: 24 (All), 20 (Since 2018)
  • i10-index: 64 (All), 44 (Since 2018)

These metrics showcase the impact of Urooj ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Research Area(s) & Interests:

Computer-Based Diagnosis of Chronic Diseases and Bio-Medical Instrumentation: Dr. Urooj’s expertise includes the development of computer-based models for diagnosing chronic diseases, particularly in the field of bio-medical instrumentation. Her work likely involves the use of computational tools and techniques to analyze medical data and aid in the diagnosis and monitoring of chronic conditions. Optimization & Control, WSN, BAN: Dr. Urooj’s research interests extend to optimization and control systems, as well as Wireless Sensor Networks (WSN) and Body Area Networks (BAN). This expertise suggests involvement in designing and implementing control algorithms, optimizing system performance, and working with wireless communication technologies in healthcare applications. Material Research, Nanomaterials for Engineering Applications: Dr. Urooj is also engaged in material research, particularly in the area of nanomaterials for engineering applications. Her work likely involves the synthesis, characterization, and application of nanomaterials in various engineering fields, such as electronics, materials science, or biomedical engineering.

Teaching Experience:

Associate Professor at College of Engineering, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia (since 15th September 2019): In her current role, Dr. Urooj serves as an Associate Professor, likely contributing to the academic and research activities of the College of Engineering at Princess Nourah bint Abdulrahman University. Assistant and Associate Professor at the Department of Electrical Engineering, Gautam Buddha University, Gr. Noida, UP, India (6th July 2011 to 13th Sep 2019): Dr. Urooj previously worked as both an Assistant and Associate Professor at Gautam Buddha University. She also served as the Head of the Department of Electrical Engineering from 1st August 2018 to September 2019, demonstrating leadership and administrative skills in addition to her teaching and research responsibilities. Associate Professor at the Department of Electronics & Instrumentation Engineering, Galgotias College of Engineering and Technology, Gr. Noida, UP, India (31st July 2009 to 5th July 2011): Prior to her tenure at Gautam Buddha University, Dr. Urooj worked as an Associate Professor at Galgotias College of Engineering and Technology, where she likely contributed to the academic and research activities of the Department of Electronics & Instrumentation Engineering.

MEMBESRSHIP COUNCILS/COMMITTEES:

• Director: College of Engineering Club- 2022-23, 2023-24
• Member of M. Sc Program in collaboration with Essex University UK.
• Member of B. S IoT in collaboration with College of Computer Science.
• General Co-Chair CCAML2024 Committee
• Track Chair (Special Session) IEEE APSCON 2024

Publications:

Fuzzy clustering algorithm for enhancing reliability and network lifetime of wireless sensor networks

  • Published in Energy in 2020 with 1150citations.

Entropy index in quantitative EEG measurement for diagnosis accuracy

  • Published in Energy in 2013 with 83 citations.

A robust polynomial filtering framework for mammographic image enhancement from biomedical sensors

  • Published in Energy in 2013 with 62 citations.

A composite wavelets and morphology approach for ECG noise filtering

  • Published in Energy in 2013 with 56 citations.

Strategies, current status, problems of energy and perspectives of Yemen’s renewable energy solutions

  • Published in Energy in 2018 with 53 citations.

An improved CAD system for breast cancer diagnosis based on generalized pseudo-Zernike moment and Ada-DEWNN classifier

  • Published in Energy in 2016 with 52 citations.

Non-linear polynomial filters for edge enhancement of mammogram lesions

  • Published in Energy in 2016 with 49 citations.

Human visual system based unsharp masking for enhancement of mammographic images

  • Published in Energy in 2017 with 48 citations.

 

Dr. Ali Jahedsaravani | Electrical Engineering | Best Scholar Award

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Dr. Ali Jahedsaravani : Leading Researcher in Electrical Engineering

Assistant Professor at Electrical Engineering, Khatam al Anbiya University, Iran

He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Ph.D. in Automation and Control Engineering from the University Putra Malaysia, Malaysia, earned between 2011 and 2015, with a GPA of 3.75 on a scale of 4. MSc in Automation and Control Engineering at Islamic Azad University, Gonabad branch, Iran, completed between 2008 and 2011, with a GPA of 18.28 on a scale of 20. BSc in Electronic Engineering from Islamic Azad University, Iran, Birjand, completed between 2002 and 2007, with a GPA of 14.77 on a scale of 20.

Areas of Interest:

  1. Assistant Professor at the Faculty of Engineering, Khatam al-Anbiya University, from 2018 to the present.
  2. Lecturer at the Faculty of Engineering, Khatam al-Anbiya University, from 2016 to 2018.

Publications:

Measurement of bubble size and froth velocity using convolutional neural networks

Prediction of Froth Flotation Performance Using Convolutional Neural

Recognition of process conditions of a coal column flotation circuit using computer vision and machine learning

Flotation froth image classification using convolutional neural networks

Machine vision based monitoring and analysis of a coal column flotation circuit

An image segmentation algorithm for measurement of flotation froth bubble size distributions

Development of a machine vision system for real-time monitoring and control of batch flotation process

Application of Image Processing and Adaptive Neuro-fuzzy System for Estimation of the Metallurgical Parameters of a Flotation Process