Paulo Eugênio da Costa Filho | Artificial Intelligence | Best Researcher Award

Mr. Paulo Eugênio da Costa Filho | Artificial Intelligence | Best Researcher Award

Researcher at Federal University of Rio Grande do Norte, Brazil

Paulo Eugênio da Costa Filho is a dedicated Brazilian researcher and educator in the field of Food Science and Technology, with a strong focus on Food Microbiology. He has played pivotal roles in advancing food safety and quality, particularly through microbiological analysis of food and food products. With over two decades of academic and scientific experience, he serves as a full professor at the Federal University of Ceará (UFC). Prof. Costa Filho is also recognized for his involvement in graduate education and leadership in various research projects and academic societies.

Profile

Education :

The academic journey of this accomplished scholar reflects a deep-rooted commitment to excellence in food science and engineering. They hold a Bachelor’s degree in Food Engineering from the Federal University of Ceará (1993), which laid a strong foundation in the principles of food processing and safety. Advancing their expertise, they pursued both a Master’s (1997) and a PhD (2003) in Food Science and Technology at the Federal University of Viçosa, where they honed their research skills and specialized knowledge in food systems. Their academic path culminated with a prestigious postdoctoral research tenure at Université Laval, Canada (2009), further enriching their global perspective and scholarly contributions to the field.

Experience :

Since 2016, the researcher has served as a Full Professor in the Department of Food Technology at the Federal University of Ceará (UFC), where they specialize in the Microbiology of Foods. In this capacity, they have played a pivotal role in shaping both academic and research directions within the field. As Coordinator of the Graduate Program in Food Science and Technology at UFC, they have demonstrated strong leadership in advancing graduate education, curriculum development, and research collaboration. Their international experience includes a valuable period as a Visiting Researcher at Université Laval in Canada, where they completed a postdoctoral fellowship, further enriching their expertise and fostering cross-border scientific exchange.

Awards and Recognitions :

Prof. Paulo Eugênio da Costa Filho is a CNPq Research Productivity Fellow – Level 1D, a prestigious recognition awarded to researchers with a consistent and influential scientific output in Brazil. This honor reflects his long-standing contributions to advancing food microbiology and food safety through innovative research and academic leadership. His impactful role in graduate education is equally distinguished; Prof. Costa Filho has been nationally recognized for his dedication to mentoring future scientists and for strengthening the graduate training infrastructure in Food Science and Technology across Brazil. His efforts have significantly influenced both academic excellence and professional development in the field.

Research Focus :

The researcher’s work in Food Microbiology is distinguished by a comprehensive and applied focus on critical areas impacting food safety and innovation. Their research emphasizes the study of pathogenic microorganisms in foods, addressing public health concerns through advanced microbiological quality control practices. They actively investigate antimicrobial compounds and bacterial biofilms, contributing to the understanding and mitigation of microbial resistance in food environments. A significant part of their work involves the development and validation of analytical methods for the precise detection and control of microorganisms, ensuring the reliability and safety of food systems. Additionally, they explore the functional properties of probiotic and antimicrobial food components, aiming to enhance the nutritional and protective qualities of food products. This multifaceted research approach reflects a strong commitment to advancing food microbiology through both scientific rigor and real-world application.

Research  Skills :

With extensive expertise in microbiological analysis of foods, this professional is deeply committed to advancing food safety and quality assurance through rigorous scientific approaches. Their work emphasizes the design of microbiological research methodologies tailored to emerging foodborne challenges and technological innovations. In addition to research, they play a pivotal role in graduate student mentorship and thesis supervision, nurturing the next generation of food scientists with a focus on critical thinking and applied microbiology. Their capacity for project coordination and academic leadership has consistently driven collaborative initiatives, strengthened interdisciplinary networks, and elevated the standards of both research output and educational excellence.

Pulication Top Notes : 

Internet of Smart Grid Things (IoSGT): Prototyping a Real Cloud-Edge Testbed

Authors: H. Santos, P. Eugênio, L. Marques, H. Oliveira, D. Rosário, E. Nogueira, et al.

Source: Anais do XIV Simpósio Brasileiro de Computação Ubíqua e Pervasiva

Citations: 7

Year: 2022

Predictive Fraud Detection: An Intelligent Method for Internet of Smart Grid Things Systems

Authors: L. Bastos, B. Martins, H. Santos, I. Medeiros, P. Eugênio, L. Marques, et al.

Source: Journal of Internet Services and Applications, Vol. 14(1), pp. 160–176

Citations: 5

Year: 2023

Analysis of Electrical Signals by Machine Learning for Classification of Individualized Electronics on the Internet of Smart Grid Things (IoSGT) Architecture

Authors: L. Marques, P. Eugênio, L. Bastos, H. Santos, D. Rosário, E. Nogueira, et al.

Source: Journal of Internet Services and Applications, Vol. 14(1), pp. 124–135

Citations: 2

Year: 2023

Virtualized 5G Testbed using OpenAirInterface: Tutorial and Benchmarking Tests

Authors: M. Dória, V. Sousa, A. Campos, N. Oliveira, P. Eduardo, C. Lima, J. Guilherme, et al.

Source: Journal of Internet Services and Applications, Vol. 15(1), pp. 523–535

Citations: Not yet cited

Year: 2024

Conclusion :

Paulo Eugênio da Costa Filho is a strong candidate for the Best Researcher Award, particularly for awards that value practical innovation, interdisciplinary research, and technology for public good. His profile showcases a rare blend of technicaldepth, creative application, and community impact, all rooted in scientific rigor and hands-on implementation. With cntinued development in publication strategy and international networking, he has the potential to become a leading figure in applied computing and sustainable technology solutions not just in Brazil, but globally.

Hamna Baig | Artificial Intelligence | Young Researcher Award

Ms. Hamna Baig | Artificial Intelligence | Young Researcher Award

Research Internee | COMSATS University Islamabad, Attock Campus | Pakistan

Hamna Baig 🎓 is a passionate and award-winning Electrical Engineering graduate from COMSATS University Islamabad, Attock Campus. A gold medalist 🥇 with a CGPA of 3.66, she blends academic brilliance with innovative research in AI, IoT, and robotics 🤖. Hamna’s dynamic work spans smart environments, RF sensing, and machine learning applications 💡. She has published multiple research papers 📚, led various technical projects, and participated in prestigious conferences 🏛️. Her leadership roles and technical writing expertise further reflect her versatility 🧠. Hamna aims to revolutionize engineering solutions through creativity, technology, and social impact 🌍.

Professional profile : 

Google Scholar

Orcid 

Summary of Suitability : 

Hamna Baig exemplifies the essence of a young and emerging researcher through her exceptional academic performance, innovative contributions to AI-driven engineering, and a prolific portfolio of research publications. A gold medalist in Electrical Engineering from COMSATS University Islamabad, she has demonstrated consistent excellence in both theoretical knowledge and practical application. With multiple high-impact publications, advanced project implementations, and recognized conference presentations, she brings outstanding promise to the future of intelligent systems and healthcare engineering. Her dedication to interdisciplinary innovation, backed by hands-on experience and leadership roles, showcases her as a rising star in engineering research.

🔹 Education & Experience :

📘 Education:

  • 🎓 B.Sc. Electrical Engineering, COMSATS University Islamabad, Attock Campus (2020–2024) – CGPA: 3.66/4.00, Gold Medalist 🏅

  • 📑 Final Year Project: AI-based Environmental Control Model for Smart Homes 🏠🤖

🧑‍💼 Experience:

  • 🧪 Internee, Electrical & Computer Engineering Dept., COMSATS, under PEC GIT Program (2024–Present)

  • ⚡ Internee, Ghazi-Barotha Hydro Power Plant (GBHPP), WAPDA (2023)

  • 🖋️ Technical Writer (Electrical/Electronics), CDR Professionals (2023–Present)

Professional Development :

Hamna Baig has actively pursued professional growth through certifications, leadership, and community engagement 🌱. She completed the prestigious “Machine Learning Specialization” by DeepLearning.AI 🤖, “Generative AI for Everyone” 🧠, and several tech courses from Stanford, Yonsei, and the University of Michigan via Coursera 🎓. As a proactive learner, she enhances her skills in AI, IoT, wireless communication, and public speaking 🎤. Hamna has held key roles such as President of the Sports Society 🏸, Co-Campus Director of AICP 🧑‍🔬, and VP of COMSATS Science Society. Her drive to uplift communities and advance technology sets her apart 🌟.

Research Focus : 

Hamna’s research centers on the integration of Artificial Intelligence and Machine Learning into real-world electrical and biomedical systems 🤖🧠. She explores SDR-based gait monitoring for Parkinson’s patients 🧓, AI-controlled environmental systems for energy-efficient smart homes 🌡️, and intelligent robotic applications in agriculture 🤖🍎. Her work emphasizes non-invasive health monitoring using RF sensing 🛏️ and AI-powered automation solutions. She is deeply invested in translating complex algorithms into practical, user-centric applications that elevate health, comfort, and productivity ⚡. Her interdisciplinary approach bridges electrical engineering with innovative computing solutions 🔌📊.

Awards & Honors :

  • 🏆 Awards & Certificates:

    • 🥇 Gold Medalist, COMSATS University Islamabad (2024)

    • 🧾 Certificate of Gratitude, ICTIS Conference, UET Peshawar (2024)

    • 📜 Certificate of Gratitude, ICCSI Conference, University of Haripur (2024)

    • 🧠 ML Specialization Certificate, DeepLearning.AI – Stanford (2023)

    • 🧬 Generative AI for Everyone – DeepLearning.AI (2025)

    • 🧏‍♀️ Public Speaking Specialization – University of Michigan (2024)

    • 📶 Wireless Communications Course – Yonsei University (2024)

    • 🎓 Prime Minister’s Youth Laptop Scheme Awardee (2023)

    • 🥇 Winner – IoT Pick and Place Robotic Competition, COMSATS (2024)

    • 🧒 Student of the Year – COMSATS University, Attock (2023)

Publication Top Notes : 

  • Title: Intelligent Frozen Gait Monitoring using Software Defined Radio Frequency Sensing
    Citation: Electronics, 14(8), 1603, 2025
    Authors: Khan, M. B., Baig, H., Hayat, R., Tanoli, S. A. K., Rehman, M., Thakor, V. A., & Haider, D.
    Year: 2025

  • Title: Machine Learning-Based Estimation of End Effector Position in Three-Dimension Robotic Workspace
    Citation: IJIST Journal (Impact Factor: 4.312)
    Authors: Baig, H., Ahmed, E., Jadoon, I., & Pakistan, K. C. A.
    Year: 2024

  • Title: A Robotic Approach for Fruit Harvesting with Machine Learning-Based Joint Angles Prediction
    Citation: Submitted to ICCSI – International Conference on Computational Sciences and Innovations
    Authors: Baig, H., Baig, A.A, Ahmed, E., Jadoon, I., & Pakistan
    Year: 2024

  • Title: Artificial Intelligence Based Adaptive Fan Control in Office Settings for Energy Efficiency
    Citation: Submitted to ICCIS – Proceedings to Springer Journal
    Authors: Baig, H.
    Year: 2024

  • Title: A Robotic Arm Based Intelligent Biopsy System
    Citation: Submitted to ICCIS – Kohat University, Springer Proceedings
    Authors: Baig, H.
    Year: 2024

  • Title: Design of an Intelligent Wireless Channel State Information Sensing System to Prevent Bedsores
    Citation: IEEE Sensors Journal (Under Review)
    Authors: Baig, H.
    Year: 2024

  • Title: Enhancing Home Comfort and Energy Consumption with an Artificial Intelligence-Based Environmental Sensing Control Model
    Citation: PeerJ (Computer Science) (Under Review)
    Authors: Baig, H.
    Year: 2024

  • Title: Breathing Techniques Redefined: The Pros and Cons of Traditional Methods and the Promise of SDRF Sensing
    Citation: Elsevier – Digital Communications and Networks (Under Review)
    Authors: Baig, H.
    Year: 2024

Conclusion : 

  • Hamna Baig not only meets but exceeds the expectations of a Young Researcher Award recipient. Her innovative mindset, research productivity, and real-world problem-solving approach make her an ideal candidate. Her work is not just academically sound but socially impactful—especially in the domains of healthcare and automation. She is a beacon of excellence and innovation, representing the future of engineering research. 🌟

 

Prof. Dr. Brigitte Jaumard | Machine Learn Award | Best Researcher Award

Prof. Dr. Brigitte Jaumard | Machine Learn Award | Best Researcher Award

Prof. Dr. Brigitte Jaumard, Concordia University, Canada

Prof. Dr. Brigitte Jaumard is a distinguished professor in the Computer Science and Software Engineering Department at Concordia University, Canada. She has a prolific career in academia and research, holding multiple prestigious roles, including Tier I Canada Research Chair (CRC) in Optimization of Communication Networks. Her work spans over several decades, and she has contributed significantly to the fields of artificial intelligence, communication networks, and optimization. Dr. Jaumard has also held leadership positions at the Computer Research Institute of Montreal (CRIM) and has been recognized for her innovative work in AI and machine learning. She has received numerous awards, including Best Paper Awards at international conferences. 🌟

Professional Profile

Google Scholar

Suitability for Award

Prof. Dr. Brigitte Jaumard is an ideal candidate for the Research for Best Researcher Award due to her outstanding contributions to the fields of artificial intelligence, optimization, and communication networks. Her leadership in research, exemplified by her role as a Tier I Canada Research Chair and her work in AI and machine learning, has made significant strides in both theoretical and applied research. Prof. Jaumard’s numerous awards and honors further attest to the high regard in which her work is held. Her impactful research and dedication to advancing technology make her an excellent choice for this prestigious award. 🏆

Education

🎓 Prof. Dr. Brigitte Jaumard holds a Thèse d’Habilitation from Université Pierre et Marie Curie, Paris (1990), and a Ph.D. in Electrical Engineering from École Nationale Supérieure des Télécommunications (ENST), Paris, with the highest honors in 1986. She also completed a DEA (M.Sc.) in Artificial Intelligence from Université Paris VI (1984) and a degree in Computer Engineering/Information System Engineering from Institut d’Informatique d’Entreprise (1983). Her educational background laid a solid foundation for her career in optimization, AI, and communication networks. 📘

Experience

🧑‍🏫 Prof. Jaumard has held several prestigious academic appointments, including as a professor at Concordia University since 2010, where she currently teaches and conducts research in optimization and AI. She served as a Tier I Canada Research Chair in Optimization of Communication Networks from 2001 to 2019. Additionally, Prof. Jaumard has been involved in administrative roles, such as the Scientific Director of CRIM and Principal Data Scientist at Ericsson’s Global AI Accelerator. Her leadership in both academic and industrial research has made significant impacts on AI and network optimization. 🌍

Awards and Honors

🏅 Prof. Jaumard has received multiple accolades, including Best Paper Awards at the IEEE International Symposium on Measurements & Networking (2022) and IEEE Sarnoff Symposium (2017). She also ranked 1st in the 2022 ITU Artificial Intelligence/Machine Learning in 5G Challenge (Graph Neural Networking) and 2nd in 2021. These awards highlight her groundbreaking contributions to AI, machine learning, and network optimization. Her consistent recognition in prestigious conferences and competitions underscores her expertise and leadership in the field. 🌟

Research Focus

🔬 Prof. Jaumard’s research focuses on optimization of communication networks, artificial intelligence, machine learning, and data-centric AI. She has made significant contributions to the development of scalable network models, including network digital twins, and has advanced the application of graph neural networks in communication systems. Her work in AI spans across both theoretical aspects and real-world applications, particularly in optimizing network performance and improving AI systems’ reliability. Prof. Jaumard’s research has had a lasting impact on both academia and industry. 🧑‍💻

Publication Top Notes:

  • New branch-and-bound rules for linear bilevel programming
    • Year: 1992
    • Citations: 969
  • Cluster analysis and mathematical programming
    • Year: 1997
    • Citations: 961
  • Algorithms for the maximum satisfiability problem
    • Year: 1990
    • Citations: 558
  • A generalized linear programming model for nurse scheduling
    • Year: 1998
    • Citations: 408
  • A branch and cut algorithm for nonconvex quadratically constrained quadratic programming
    • Year: 2000
    • Citations: 262

 

Milan Milosavljević | Artificial Intelligence | Best Researcher Award

Milan Milosavljević | Artificial Intelligence | Best Researcher Award

Prof. Dr. Milan Milosavljević, Vlatacom Institute of High Technologies, Serbia.

Publication profile

Googlescholar

Education and Experience

  • PhD (UB-FEE): 1982, specializing in signal processing 🎓
  • Full Professor (BU-FEE): 2003-2016 👨‍🏫
  • Full Professor (SU): 2003-2022 🏫
  • Visiting Scientist (Cornell University): 1987-1988 🌍
  • Visiting Professor (University Paris XIII): 1997 🇫🇷
  • Special Advisor (Vlatacom Institute): 2022-Present 💼
  • Mentor: Over 30 doctoral and 100+ master’s theses 🎓

Suitability For The Award

Prof.Dr. Milan Milosavljević is a highly accomplished scholar, educator, and innovator whose exceptional contributions to research, academia, and engineering make him a prime candidate for the Best Researcher Award. With a distinguished career spanning decades, he has excelled in teaching, publishing, and advancing cutting-edge fields such as artificial intelligence, signal processing, and information security. His work has profoundly influenced academic institutions, national defense systems, and international collaborations, solidifying his reputation as a leader in his field.

Professional Development 

Milan Milosavljević has continuously advanced his career through international exposure and collaboration. As a visiting scientist at prestigious institutions like Cornell University and University Paris XIII, he expanded his expertise in signal processing and artificial intelligence. He has also played a pivotal role in shaping the educational landscape of Serbia by mentoring numerous doctoral and master’s students. Milan has contributed to a variety of international projects and committees, enhancing his research capabilities. His professional growth is evident in his extensive academic publishing record and his commitment to the development of information security. 🌐📚

Research Focus 

Awards and Honors

  • Best student of the generation at UB-FEE 🎓
  • Full Professor, BU-FEE (2003-2016) 👨‍🏫
  • Mentor of 30 doctoral theses and 100+ master’s theses 🎓
  • Over 355 publications, including 2 monographs 📚
  • Leader of national science project TR32054 (2010-2018) 🏆
  • Member of Management Committee of COST Action CA17124 (2018-2023) 🌍
  • Participation in 6 international TEMPUS projects 🌐

Publoication Top Notes

  • “Ionospheric forecasting technique by artificial neural network” 🌌🤖 Cited by: 100, Published: 1998
  • “An Efficient Novel Approach for Iris Recognition Based on Stylometric Features and Machine Learning Techniques” 👁️📊,Cited by: 76, Published: 2020
  • “Device for Biometric Verification of Maternity” 🍼🔑 Cited by: 56, Published: 2015
  • “Fuzzy commitment scheme for generation of cryptographic keys based on iris biometrics” 🧬🔒 Cited by: 53, Published: 2017
  • “Robust recursive AR speech analysis” 🗣️🔊 Cited by: 53, Published: 1995
  • “Biometric Verification of Maternity and Identity Switch Prevention in Maternity Wards” 🏥🧾 Cited by: 51, Published: 2016
  • “Elektronska trgovina” 🛒💻 Cited by: 51, Published: 2011
  • “Reliable Baselines for Sentiment Analysis in Resource-Limited Languages: The Serbian Movie Review Dataset” 🎥📑  Cited by: 47, Published: 2016