François PERES | risk management | Best Researcher Award

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Prof. François PERES | risk management | Best Researcher Award

Head of Scientific Research Department, UTTOP – University of Toulouse, France

François Pérès is a distinguished French professor at Toulouse University, where he leads research in production engineering and risk management. He specializes in analyzing vulnerabilities and managing uncertainties in natural and technical systems. As an active figure in academic societies, he serves as Vice-Chair of IFAC TC5.1 & TC8.3 and chairs the ESRA Manufacturing Technical Committee. His leadership extends to directing the STP Chapter of SAGIP, and he is President of the CES 10 committee for the ANR. With a career rich in academic and industrial experiences, he is a key player in advancing research on the “industry of the future” 🌍📚.

Publication Profile

Google Scholar

Education

François Pérès holds a PhD in Mechanical Engineering from Bordeaux I University (1996), following his Production Engineering degree from ENIT Tarbes (1991). His academic journey also includes a Master’s Thesis from Bordeaux I University. In 2005, he earned the Accreditation for Research Supervision (HDR) from INP Toulouse 🎓⚙️.

Experience

Currently a full professor at Toulouse University (INPT–ENIT), François Pérès has a rich professional background. He began as a Design Engineer at Airbus in Toulouse and later transitioned to Renault Trucks in the UK. His academic career includes roles as an Assistant Professor at Ecole Centrale Paris and extensive PhD supervision. He also contributes significantly to international research organizations and committees, representing France globally 🌐✈️.

Research Focus

François Pérès focuses on risk assessment, decision support, and uncertainty management in both industrial and environmental systems. His recent work extends to flood event modeling and developing hybrid models using dynamic Bayesian networks. He supervises several PhD students working on complex systems, merging probabilistic tools with physical laws to address risk in various domains 🌊📊.

Awards and Honours

Throughout his career, François Pérès has garnered several prestigious roles, including serving as the President of the Scientific Evaluation Committee “Industry of the Future” for ANR. He is a valued expert for organizations such as NATO and the European Commission. His leadership in IFAC and ESRA demonstrates his significant contributions to industrial engineering and risk management 🏆🌟.

Publication Top Notes

François Pérès has published extensively, including over 40 articles in international journals and more than 100 conference papers. His work includes co-authoring books, book chapters, and patents. His notable research includes contributions to the development of Bayesian networks for risk assessment and modeling of river systems. His research papers are widely cited in leading journals 📑✨.

Multidimensional Bayesian Networks for Modelling Complex Systems, 2024, Authorea Preprints.

Numerical modelling of the evolution of a river reach with a complex morphology, 2023, Earth Surface Dynamics.

Participatory Bayesian modelling for sustainable and efficient river restoration projects, 2020, Journal of Contingencies and Crisis Management.

Data-driven model for river flood forecasting, 2020, Journal of Contingencies and Crisis Management.

 

Muhammad Asfand Hafeez | Information Security | Best Researcher Award

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Mr. Muhammad Asfand Hafeez | Information Security | Best Researcher Award

Research Assistant, Florida Atlantic University, United States

Muhammad holds a B.Sc. in Electrical Engineering from the University of Management and Technology, Lahore, Pakistan, with a CGPA of 3.89/4.00. He completed his M.Sc. in IT Convergence Engineering at Gachon University, South Korea, with a CGPA of 4.38/4.50, where he focused on GPU-based PQC implementations. He is now pursuing his Ph.D. at Florida Atlantic University with a perfect CGPA of 4.0/4.0. 🎓📚

Publication Profile

Strengths for the Award:

  1. Outstanding Academic Record: Muhammad Asfand Hafeez has demonstrated exceptional academic performance, with a CGPA of 4.0/4.0 in his PhD program and a CGPA of 4.38/4.50 in his Master’s program, showcasing his dedication and excellence in his studies.
  2. Innovative Research Contributions: His research in GPU-based implementations of Post-Quantum Cryptography (PQC) algorithms for IoT applications and side-channel analysis exhibits a strong focus on cutting-edge technologies and practical applications. This includes significant contributions to improving security protocols in emerging technologies.
  3. High-Impact Publications: Hafeez has a robust publication record in reputable journals and conferences, including IEEE Internet of Things Journal and IEEE Access. His work on GPU acceleration and cryptographic methods is relevant to current and future research in security and optimization.
  4. Awards and Recognition: He has received multiple awards such as the Rector Innovation Award, Patron’s Medal, and Best Paper Award, indicating recognition from academic and industry peers for his innovative work and contributions.
  5. Diverse Experience: His experience spans research assistant roles in various prestigious institutions and internships, providing him with a broad perspective and expertise in different aspects of electrical engineering and computer science.

Areas for Improvement:

  1. Broader Research Impact: While his research is highly specialized, expanding his work to address a wider range of practical problems and applications could further enhance its impact and relevance to diverse fields.
  2. Collaborative and Interdisciplinary Work: Increasing collaboration with researchers from other disciplines or institutions could lead to more comprehensive research outcomes and foster interdisciplinary innovations.
  3. Public Engagement and Dissemination: Greater emphasis on public outreach and dissemination of his research findings through non-academic channels could raise awareness and highlight the societal impacts of his work.

 

Experience

Muhammad has gained substantial research experience through his roles as a Research Assistant at various esteemed institutions, including ISCAAS Lab at Florida Atlantic University, Kansas State University, and Information Security & Machine Learning Lab at Gachon University. His internships and assistant roles have provided him with practical insights into electrical engineering and information security. 🧪💼

Research Focus

Muhammad’s research interests include GPU computing, Post-Quantum Cryptography (PQC), cryptographic protocols, and secure multi-party computation. He is dedicated to enhancing the efficiency and security of cryptographic systems and optimizing deep learning models. His work also encompasses side-channel analysis and applications of PQC in IoT. 💻🔒

Awards and Honors

Muhammad has been honored with several prestigious awards, including the Rector and Dean Merit Awards, the Rector Innovation Award, and the Patron’s (Gold) Medal Award. He has also achieved notable positions in competitions such as IEEE Xtreme Programming and Mechnofest. His recognition includes the Best Paper Award by BK21 FAST Intelligence Convergence Center and accolades from the Pakistan International Auto Show. 🏅🎖️

Publications Top Notes

Efficient TMVP-Based Polynomial Convolution on GPU for Post-Quantum Cryptography Targeting IoT Applications (2024) – IEEE Internet of Things Journal

GPU-Accelerated Deep Learning-based Correlation Attack on Tor Networks (2023) – IEEE Access

High Throughput Acceleration of Scabbard Key Exchange and Key Encapsulation Mechanism Using Tensor Core on GPU for IoT Applications (2023) – IEEE Internet of Things Journal

H-QNN: A Hybrid Quantum–Classical Neural Network for Improved Binary Image Classification (2024) – AI

A Low-Overhead Countermeasure Against Differential Power Analysis for AES Block Cipher (2021) – Applied Sciences

Performance Improvement of Decision Tree: A Robust Classifier Using Tabu Search Algorithm (2021) – Applied Sciences

A Hybrid Linear Quadratic Regulator Controller for Unmanned Free-Swimming Submersible (2021) – Applied Sciences

Conclusion:

Muhammad Asfand Hafeez is a highly promising candidate for the Best Researcher Award due to his exemplary academic achievements, innovative research contributions, and significant awards and recognitions. His work in GPU-based implementations of Post-Quantum Cryptography and other advanced areas reflects a deep understanding of and commitment to his field. Addressing areas for improvement, such as broadening the scope of his research impact and increasing public engagement, could further enhance his candidacy and contributions to the field.