Dr. Agnieszka Niemczynowicz – Machine Learning – Best Researcher Award 

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Dr. Agnieszka Niemczynowicz - Machine Learning - Best Researcher Award 

Cracow University of technology - Poland

AUTHOR PROFILE 

ORCID 

EARLY ACADEMIC PURSUITS 🎓

Agnieszka Niemczynowicz began her academic journey in the field of solid-state physics, earning her Ph.D. from the Faculty of Physics and Applied Informatics at the University of Łódź, Poland, in 2014. Her early research laid a strong foundation in the fundamental aspects of physics, equipping her with a deep understanding of physical systems and analytical techniques.

PROFESSIONAL ENDEAVORS 🏢

Upon completing her doctorate, Agnieszka transitioned into academia, taking up the role of Associate Professor at the Cracow University of Technology. She has since been instrumental in bridging the gap between physics and computational sciences, expanding her research horizons to include computational and mathematical methods for analyzing complex data sets across various disciplines.

CONTRIBUTIONS AND RESEARCH FOCUS 🔍

Agnieszka’s research is at the forefront of computational analysis, focusing on multivariate statistics, chemometrics, and deep learning. She has developed advanced statistical and machine Machine Learning learning models that have found applications in diverse fields such as engineering, biology, medicine, and management. Her work is characterized by its interdisciplinary approach, integrating complex data analysis methods into practical applications.

ACCREDITATIONS AND RECOGNITION 🏅

A prolific researcher, Agnieszka has authored around 50 publications in international journals, contributing significantly to her field. Her excellence in research was recognized with the Machine Learning prestigious Doak Award in 2022, highlighting her impactful contributions to the scientific community and her role as a thought leader in computational analysis.

IMPACT AND INFLUENCE 🌍

Agnieszka’s work has had a significant impact on how complex analytical data is interpreted and utilized across various sectors. Her models have improved the accuracy of data-driven Machine Learning decisions in numerous applications, thereby enhancing the efficiency and effectiveness of processes in engineering, biology, medicine, and more.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Currently leading international research grants, Agnieszka investigates the mathematical foundations of hypercomplex neural networks and their applications. Her ongoing work promises to further unravel the complexities of data analysis, pushing the boundaries of what machine learning and computational methods can achieve. Her legacy lies in her pioneering efforts to integrate advanced mathematical models into practical solutions, ensuring that her influence will be felt across multiple disciplines for years to come.

NOTABLE PUBLICATIONS 

  • Title: A critical analysis of the theoretical framework of the Extreme Learning Machine
    Authors: Irina Perfilieva, Nicolás Madrid, Manuel Ojeda-Aciego, Piotr Artiemjew, Agnieszka Niemczynowicz
    Journal: Neurocomputing
  • Title: Use of physicochemical, FTIR and chemometric analysis for quality assessment of selected monofloral honeys
    Authors: Monika Kędzierska-Matysek, Anna Teter, Mariusz Florek, Arkadiusz Matwijczuk, Agnieszka Niemczynowicz, Alicja Matwijczuk, Grzegorz Czernel, Piotr Skałecki, Bożena Gładyszewska
    Journal: Journal of Apicultural Research
  • Title: Conclusions
    Authors: Joanna Nieżurawska, Radosław Antoni Kycia, Agnieszka Niemczynowicz
    Journal: (Book chapter, not a journal)
  • Title: Current research methods in mathematical and computer modelling of motivation management
    Authors: Agnieszka Niemczynowicz, Radosław Antoni Kycia
    Journal: (Book chapter, not a journal)
  • Title: Introduction
    Authors: Joanna Nieżurawska, Radosław Antoni Kycia, Agnieszka Niemczynowicz
    Journal: (Book chapter, not a journal)

Assoc. Prof. Dr Rui Mao – Artificial intelligence – Best Researcher Award

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Assoc. Prof. Dr Rui Mao - Artificial intelligence - Best Researcher Award

Northwest A&F University - China

AUTHOR PROFILE 

SCOPUS 

ORCID 

EARLY ACADEMIC PURSUITS 🎓

Rui Mao’s academic journey began with a master’s degree from Xi’an JiaoTong University, where she developed a keen interest in the application of technology in agriculture. She then pursued a Ph.D. from Northwest A&F University, where her research focused on the intersection of machine learning, image processing, and agriculture. Her strong foundation in these fields allowed her to push the boundaries of innovation in precision agriculture, laying the groundwork for her future research endeavors.

PROFESSIONAL ENDEAVORS 🏫

As an Associate Professor at Northwest A&F University, Rui Mao has been a key figure in bridging the gap between computer science and agriculture. Her extensive academic career includes presiding over four key research and development programs in Shaanxi Province. Additionally, she has contributed to multiple consultancy and industry projects, providing expert guidance on the implementation of machine learning and image processing in real-world agricultural settings.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Rui’s research focuses on machine learning, image processing, and pattern recognition, with a primary emphasis on precision agriculture. Her projects have led to the development of innovative solutions for improving agricultural productivity and sustainability. By integrating advanced technologies, her research provides practical applications for improving crop Artificial intelligence management, pest control, and resource optimization. She is also pioneering work on digital agriculture through her collaborations and ongoing projects, which are poised to transform the agricultural industry.

ACCREDITATIONS AND RECOGNITION 🏅

Rui Mao’s work has earned her significant recognition in the scientific community. With a citation index of 128 and 12 publications in prestigious journals, her research has had a considerable impact on the fields of agriculture and technology. Her contributions to digital agriculture and image processing have positioned her as a leading figure in her field. Rui’s expertise is further Artificial intelligence acknowledged through her membership in esteemed professional bodies such as the China Computer Society and the China Association of Image Graphics.

IMPACT AND INFLUENCE 🌍

Rui’s influence extends beyond academia. As a senior member of the China Computer Society and an executive committee member of its Digital Agriculture Branch, she has shaped the Artificial intelligence direction of research in the application of computer science to agriculture. Her work has contributed to the development of smarter, more efficient agricultural practices, which are essential for meeting global food security challenges. Through her innovations, Rui has directly impacted the agricultural technology landscape in China and beyond.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Rui Mao’s future work promises to continue advancing the integration of machine learning and image processing in agriculture. Her ongoing research on digital agriculture and precision farming has the potential to revolutionize farming practices globally, ensuring more sustainable and efficient food production. As a passionate educator and researcher, Rui is poised to inspire future generations of scientists and innovators, further solidifying her legacy as a pioneer in agricultural technology and machine learning applications.

NOTABLE PUBLICATIONS 

  • Title: A Real-Time Lightweight Behavior Recognition Model for Multiple Dairy Goats
    Authors: Xiaobo Wang, Yufan Hu, Meili Wang, Mei Li, Wenxiao Zhao, Rui Mao
    Journal: Animals (2024-12)
    DOI: 10.3390/ani14243667
  • Title: An Integrated Gather-and-Distribute Mechanism and Attention-Enhanced Deformable Convolution Model for Pig Behavior Recognition
    Authors: Rui Mao, Dongzhen Shen, Ruiqi Wang, Yiming Cui, Yufan Hu, Mei Li, Meili Wang
    Journal: Animals (2024-04)
    DOI: 10.3390/ani14091316
  • Title: GSEYOLOX-s: An Improved Lightweight Network for Identifying the Severity of Wheat Fusarium Head Blight
    Authors: Rui Mao, Zhengchao Wang, Feilong Li, Jia Zhou, Yinbing Chen, Xiaoping Hu
    Journal: Agronomy (2023-01)
    DOI: 10.3390/agronomy13010242

Prof. Irina Perfilieva – machine learning – Best Researcher Award 

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Prof. Irina Perfilieva - machine learning - Best Researcher Award 

University of Ostrava - Czech Republic

AUTHOR PROFILE 

ORCID 

🎓 EARLY ACADEMIC PURSUITS

Professor Irina Perfilieva embarked on her academic journey at the prestigious Lomonosov State University in Moscow, Russia, where she earned her M.S. in Applied Mathematics in 1975, followed by a Ph.D. in 1980. Her early academic endeavors laid a solid foundation in applied mathematics, setting the stage for her future contributions to the field.

🏫 PROFESSIONAL ENDEAVORS

Irina Perfilieva holds the position of full professor of Applied Mathematics at the University of Ostrava in the Czech Republic. Her esteemed career has included roles as Professor Honoris Causa at the Amity Institute of Information Technology, India, and Doctor Honoris Causa at the University of Latvia. Throughout her professional journey, she has been an influential figure in the academic community, especially in the realm of fuzzy logic and applied mathematics.

📚 CONTRIBUTIONS AND RESEARCH FOCUS

Professor Perfilieva has made significant contributions to the field of fuzzy logic and mathematical modeling. She is the author and co-author of six influential books and has published over 270 papers. Her pioneering method of fuzzy transforms has found successful applications in image and time series processing, numerical analysis, and solving complex equations. Her machine learning research also delves into data analysis and the mathematical foundations of neural networks, utilizing both modern and classical approaches.

🏆 ACCOLADES AND RECOGNITION

Her extensive contributions to the scientific community have earned her numerous awards, including being named an IFSA Fellow and an honorary member of EUSFLAT. In 2012, she was the machine learning recipient of the 1st memorial Da Ruan award. These accolades reflect her esteemed status and the impact of her work globally.

🌍 IMPACT AND INFLUENCE

As an area editor for Soft Computing and a member of several prestigious editorial boards, Professor Perfilieva has influenced the direction of research in fuzzy systems. She has also served on machine learning Program Committees for leading international conferences, further amplifying her impact in the academic and research communities.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

With her innovations in fuzzy logic and mathematical modeling, Irina Perfilieva's work continues to shape future research. Her methods are widely accepted and applied, demonstrating a legacy of academic excellence and practical utility. Her ongoing exploration into data analysis and neural networks signifies her commitment to advancing knowledge in these critical areas.

NOTABLE PUBLICATIONS 

  • Title: "A critical analysis of the theoretical framework of the Extreme Learning Machine"
    Authors: Irina Perfilieva, Nicolás Madrid, Manuel Ojeda-Aciego, Piotr Artiemjew, Agnieszka Niemczynowicz
    Journal: Neurocomputing
  • Title: "Extreme Learning Machine – A New Machine Learning Paradigm"
    Author: Irina Perfilieva
    Journal: Book Chapter (part of a book series, not a journal)
  • Title: "F-transform utility in the operational-matrix approach to the Volterra integral equation"
    Authors: Perfilieva, Irina; Ziari, Shokrollah; Nuraei, Rahele; Pham, Thi Minh Tam
    Journal: Fuzzy Sets and Systems
  • Title: "Generalized Fuzzy Transform and Non-Local Laplace Operator"
    Authors: Hana Zamecnıkova, Simone Cammarasana, Irina Perfilieva, Giuseppe Patane
    Journal: IEEE Transactions on Fuzzy Systems
  • Title: "Numerical solution of a new mathematical model for intravenous drug administration"
    Authors: Alijani, Zahra; Shiri, Babak; Perfilieva, Irina; Baleanu, Dumitru
    Journal: Evolutionary Intelligence

Prof . Balasubbareddy Mallala – Machine Learning – Best Researcher Award 

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Prof . Balasubbareddy Mallala - Machine Learning - Best Researcher Award 

Chaitanya Bharathi Institute of Technology, Hyderabad - India 

Author Profile

GOOGLE SCHOLAR 

🎓 Early academic pursuits

Dr. M. Balasubbareddy embarked on his academic journey with a strong foundation in electrical and electronics engineering, earning a b.e. degree with distinction. further advancing his expertise, he pursued an m.tech. in power systems, achieving first-class honors. his relentless pursuit of knowledge culminated in a ph.d. in electrical and electronics engineering, where he delved into cutting-edge research, laying the groundwork for a prolific career. his academic curiosity extended to post-doctoral studies, further cementing his reputation as a dedicated scholar.

💼 Professional endeavors

As a professor at chaitanya bharathi institute of technology (cbit), dr. balasubbareddy has dedicated over two decades to teaching and mentoring. since joining cbit in 2017, he has taken on diverse roles, including membership in the college academic committee, anti-ragging committee, and intellectual property rights cell. his leadership as a convener of the ethics committee and departmental research committee has significantly shaped institutional policies and academic growth. with a career spanning 22 years in teaching and 16 years in research, he remains a cornerstone of excellence in academia.

🔬 Contributions and research focus

Dr. Balasubbareddy's research focuses on power systems, power electronics, and soft computing techniques. his innovative work bridges theoretical advancements and practical applications, contributing to sustainable and efficient energy solutions. as an active researcher, he has guided numerous projects and students, fostering a culture of inquiry and innovation. his Machine Learning participation in various institutional committees ensures the integration of research-driven strategies into curriculum development and academic practices.

🏅 Accolades and recognition

Dr. Balasubbareddy has received numerous prestigious awards that underscore his excellence in teaching and research. notable accolades include the best researcher of the year award from Machine Learning jnt university, the national award for teaching excellence, and the dr. radhakrishna award for engineering college teachers. his achievements also include international recognition, such as the global eminent scientist award and best open source learner awards. these honors reflect his dedication to academic and research excellence over the years.

🌟 Impact and influence

Through his extensive teaching and mentorship, dr. balasubbareddy has influenced countless students and colleagues, fostering a legacy of innovation and excellence. his involvement in nba Machine Learning accreditation, institute innovation, and patenting committees has significantly enhanced the academic framework of cbit. his dedication to fostering interdisciplinary collaboration and industry partnerships exemplifies his commitment to advancing the field of electrical and electronics engineering.

🏛️ Legacy and future contributions

Dr. Balasubbareddy's enduring legacy is built on his passion for education, research, and innovation. his ongoing efforts to integrate cutting-edge research with practical applications continue to inspire the next generation of engineers and researchers. as a dedicated mentor, academic leader, and researcher, he envisions a future where his contributions to power systems and soft computing techniques pave the way for sustainable technological advancements.

Notable Publications 

  • Title: Multi-objective optimization in the presence of practical constraints using non-dominated sorting hybrid cuckoo search algorithm
    Authors: M. Balasubbareddy, S. Sivanagaraju, C. V. Suresh
    Journal: Engineering Science and Technology, an International Journal
  • Title: Multi-objective optimization in the presence of ramp-rate limits using non-dominated sorting hybrid fruit fly algorithm
    Authors: M. Balasubbareddy
    Journal: Ain Shams Engineering Journal
  • Title: Salp swarm algorithm for solving optimal power flow problem with thyristor-controlled series capacitor
    Authors: B. Mallala, D. Dwivedi
    Journal: Journal of Electronic Science and Technology
  • Title: Generation and utilization of electrical energy
    Authors: S. Sivanagaraju, M. B. Reddy, D. Srilatha
    Journal: Pearson Education India
  • Title: A non-dominated sorting hybrid cuckoo search algorithm for multi-objective optimization in the presence of FACTS devices
    Authors: M. Balasubbareddy, S. Sivanagaraju, C. Venkata Suresh
    Journal: Russian Electrical Engineering

Prof. Dr. Manuel Mazzara – Artificial Intelligence – Best Researcher Award

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Prof. Dr. Manuel Mazzara - Artificial Intelligence - Best Researcher Award

Innopolis University - Russia 

Author Profile 

SCOPUS 

ORCID 

Early academic pursuits 🎓

Manuel Mazzara began his academic journey with a strong focus on software engineering, specializing in formal methods and their application to building reliable software. His academic endeavors shaped his expertise in understanding the theoretical foundations of software engineering and its practical deployment in critical sectors such as automotive, transportation, and aerospace industries. This educational background laid the groundwork for his research in the intersection of theory and practice in software engineering.

Professional endeavors 🏢

Professor Mazzara has had a distinguished career spanning over a decade at Innopolis University in Russia, where he currently holds multiple leadership roles. As the Dean of the university since September 2023, he oversees academic strategies and programs. Additionally, he serves as a full professor and head of various departments, including the Master of Science in Information Technology – Software Engineering program. His extensive experience also includes his position as Vice Dean for International Relations, where he strengthens global academic ties. Over the years, he has been instrumental in driving forward research in software resilience and concurrency.

Contributions and research focus 🔬

Mazzara’s research lies at the heart of software engineering, particularly focusing on formal methods to ensure the development of reliable software systems. His team has contributed to the development of theories, tools, and frameworks that address both the process and product sides of software engineering. Key areas of his research include concurrency, formalization of Artificial Intelligence software processes, and the application of formal methods to safety-critical systems. Mazzara's work is particularly impactful in sectors where failure could have catastrophic consequences, such as the automotive and aerospace industries.

Accolades and recognition 🏅

Professor Mazzara’s work has been recognized both within the academic community and industry. His contributions to the application of formal techniques in software engineering have Artificial Intelligence positioned him as a leader in his field. As a professor and researcher, Mazzara has published numerous works, garnering significant attention for his research in formal methods and software resilience. His work in coordinating complex systems has earned him a reputation for addressing the most challenging aspects of software engineering.

Impact and influence 🌍

Mazzara's work has a profound impact on the software engineering industry, particularly in the development of complex, concurrent systems. His contributions to the resilience of software Artificial Intelligence have made it possible to create more reliable systems in high-stakes industries where safety is paramount. By applying formal methods, he has helped shape the way critical software systems are developed, reducing the risks associated with system failures. His influence extends beyond academia, with his research directly impacting industries that rely on advanced software systems for their operations.

Legacy and future contributions 🔮

Professor Mazzara’s legacy will be defined by his dedication to improving the reliability and resilience of software systems. His work on the formalization of software engineering processes and the deployment of formal methods in industry will continue to shape the field for years to come. As he looks toward the future, Mazzara’s research promises to address the evolving challenges of software concurrency and resilience, ensuring that the next generation of software engineers is equipped with the tools and knowledge necessary to tackle the growing complexity of modern systems.

Notable Publications 

  • Title: Configuration Sets with Nonempty Interior
    Author(s): Greenleaf, A.; Iosevich, A.; Taylor, K.
    Journal: Journal of Geometric Analysis
  • Title: Embedding Distance Graphs in Finite Field Vector Spaces
    Author(s): Iosevich, A.; Parshall, H.
    Journal: Journal of the Korean Mathematical Society
  • Title: Equilateral Triangles in Subsets of ℝᵈ of Large Hausdorff Dimension
    Author(s): Iosevich, A.; Liu, B.
    Journal: Israel Journal of Mathematics
  • Title: Falconer’s Conjecture?
    Author(s): Iosevich, A.
    Journal: Notices of the American Mathematical Society
  • Title: Finite Trees Inside Thin Subsets of ℝᵈ
    Author(s): Iosevich, A.; Taylor, K.
    Journal: Springer Proceedings in Mathematics and Statistics

Mr. Vincent Gbouna Zakka – Human Behaviour Analysis in Smart Environment – Best Researcher Award

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Mr. Vincent Gbouna Zakka - Human Behaviour Analysis in Smart Environment - Best Researcher Award

Aston University - United Kingdom

Author Profile

GOOGLE SCHOLAR

Early academic pursuits 🎓

Vincent Gbouna Zakka embarked on his academic journey with a bachelor's degree in electronics information engineering from liaoning university of technology, where he excelled as one of the top students in his department. his passion for technology led him to pursue a master's in mechatronic engineering at zhejiang university, focusing on robotics and smart systems. currently, he is deepening his expertise as a ph.d. candidate in computer science at aston university, where he is exploring human behavior analysis in smart environments.

Professional endeavors 💻

Vincent's professional experience is enriched with roles across prestigious institutions. from his position as a research assistant at westlake university and the hong kong polytechnic university, to his current role as a postgraduate teaching assistant at aston university, vincent has consistently contributed to cutting-edge research in human-robot collaboration and smart building technologies. his work bridges academia and real-world applications, making significant strides in ambient assisted living and user-centered systems.

Contributions and research focus 🔬

Vincent's research is centered on human behavior analysis within smart environments, particularly in areas like activity recognition and user trust in monitoring Human Behaviour Analysis in Smart Environment systems. his work aims to enhance ambient assisted living and ageing in place by integrating advanced monitoring technologies. in addition, his focus extends to human-robot collaboration, smart building control systems, and vision-based technologies that optimize user experience and comfort in home environments.

Accolades and recognition 🏅

Vincent’s exceptional contributions to his field have earned him multiple accolades. most notably, he won the best paper award at the 22nd international conference on construction applications of virtual reality in 2022, and recently secured the runner-up spot for best paper at the international conference on ai in healthcare in Human Behaviour Analysis in Smart Environment 2024. his academic excellence was also recognized early in his career, with awards like the ministerial special scholarship for excellence from the f.c.t. scholarship board.

Impact and influence 🌟

Vincent’s work is shaping the future of smart technologies and human-robot interactions. by focusing on user acceptance and trust in monitoring systems, his research has the potential to improve how individuals interact with technology in everyday life, particularly in ageing populations. his innovative solutions are Human Behaviour Analysis in Smart Environment contributing to smarter, safer, and more adaptive living environments, influencing both academic research and real-world applications.

Legacy and future contributions 🔮

Vincent Gbouna Zakka is building a legacy of interdisciplinary research that blends computer science, robotics, and smart technology with human-centered design. his forward-thinking approach ensures that his work will continue to influence the development of intelligent systems that improve quality of life. with ongoing research and upcoming contributions to the fields of ambient assisted living and smart environments, vincent's future impact is bound to be profound.

Notable Publications

  • Title: User-interactive robot skin with large-area scalability for safer and natural human-robot collaboration in future telehealthcare
    Authors: ZV Gbouna, G Pang, G Yang, Z Hou, H Lv, Z Yu, Z Pang
    Journal: IEEE Journal of Biomedical and Health Informatics 25 (12), 4276-4288 (2021)
  • Title: The impact of personal environmental control on the performance of thermal systems: Building energy consumption, occupant thermal comfort, and productivity
    Authors: K Xie, M Lee, R Khalid, VG Zakka
    Journal: Energy and Buildings 298, 113552 (2023)
  • Title: Eyes on nature: Embedded vision cameras for multidisciplinary biodiversity monitoring
    Authors: KFA Darras, M Balle, W Xu, Y Yan, VG Zakka, M Toledo-Hernández, ...
    Journal: BioRxiv, 2023.07.26.550656 (2023)
  • Title: Facile fabrication of highly soft tactile sensor based on porous sponge with geometry effect on sensing characteristics
    Authors: W Heng, G Pang, ZV Gbouna, Z Pang, K Yi, H Yang, G Yang
    Journal: 2019 IEEE International Flexible Electronics Technology Conference (IFETC), 1-3 (2019)
  • Title: A Generalized Thermal Comfort Model using Thermographic Images and Compact Convolutional Transformers: Towards Scalable and Adaptive Occupant Comfort Optimization
    Authors: VG Zakka, M Lee
    Journal: Building and Environment, 112118 (2024)