Thanh Huynh | Energy markets | Best Researcher Award

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Mr. Thanh Huynh | Energy markets | Best Researcher Award

Senior Energy Engineer, at Siemens AG, Germany.

Summary

Thanh Huynh, Ph.D. candidate and Senior Energy Engineer at Siemens AG, is a German-born expert in energy systems and digitalization. With a rich blend of academic and industrial experience, Thanh bridges cutting-edge research with practical applications. His professional journey spans automation engineering, energy flexibility, and local energy markets for multimodal energy systems. Thanh has contributed to multiple publications in top-tier journals and has successfully supervised several master’s theses. Fluent in German, English, and Vietnamese, Thanh thrives in multicultural environments, leveraging his expertise to foster innovation in energy systems.

Professional Profile

ORCID

Education 🎓

Thanh holds a Master of Science in Electrical Engineering, Information Technology, and Computer Engineering from RWTH Aachen (2018), where he graduated with distinction (1.3). His thesis focused on power flow controllability in medium-voltage grids using DC technology, earning a perfect score (1.0). Thanh also earned his Bachelor of Science from RWTH Aachen (2016) with a thesis on particle deposition under hybrid AC/DC fields, also graded 1.0. Beyond formal education, Thanh attended specialized programs, such as the Vietnam-Germany Summer School on Wind Power, and actively participated in global development and educational initiatives.

Experience 🛠️

Thanh’s career spans research, industry, and entrepreneurship. Since 2023, he has served as Senior Energy Engineer at Siemens AG, spearheading automation and digitalization in energy systems. Concurrently, he pursues a Ph.D. at TU Darmstadt, investigating local energy markets for multimodal energy systems. His tenure at Siemens Corporate Technology (2019–2023) focused on market algorithms for sector-coupling using advanced optimization methods. Thanh also managed the construction and administration of MIA Hotel and Café in Vietnam, showcasing his project management skills. Earlier, Thanh interned as a Research Assistant at TUMCREATE Singapore and RWTH Aachen, honing his expertise in grid modeling and linear programming.

Research Interests 🔍

Thanh’s research focuses on energy flexibility, local energy markets, and digitalization of energy systems. His Ph.D. explores thermal-electric energy systems with temperature flexibility in heating sub-networks. Thanh is passionate about developing optimized algorithms for sector-coupling and energy management, leveraging tools like Mendix, Python, and AWS. He is also interested in integrating digital twins and advanced simulation techniques to enhance energy systems’ efficiency and sustainability. Thanh’s work emphasizes bridging academic research with practical applications to address global energy challenges.

Awards 🏆

Thanh’s achievements reflect his dedication and excellence. He received the PROMOS Scholarship in 2018, enabling international research exposure. His academic work consistently earned top grades, including perfect scores for both his bachelor’s and master’s theses. Thanh’s contributions as a project leader, researcher, and engineer have been recognized in industry and academia, showcasing his leadership and innovation.

Publications 📚

Thanh has contributed to impactful research on energy systems:

  • 2024
    Title: Local multi-modal energy market for thermal-electric energy systems with temperature flexibility.
    Journal: Energy
    Authors: Thanh Huynh, P. Friedrich, S. Thiem, V. Danov, F. Steinke, S. Niessen
    DOI: 10.1016/j.energy.2024.133584
    Summary: This paper explores a local energy market framework integrating thermal and electric energy systems, considering temperature flexibility in heating networks to optimize energy exchange and efficiency.
  • 2024
    Title: Design and simulation of district heating networks: A review of modeling approaches.
    Journal: Energy
    Authors: S. Kuntuarova, T. Licklederer, Thanh Huynh, D. Zinsmeister, T. Hamacher, V. Perić
    DOI: 10.1016/j.energy.2024.132189
    Summary: A comprehensive review of methodologies and tools for modeling district heating networks, highlighting best practices for energy system optimization.
  • 2022
    Title: Local energy markets for thermal-electric energy systems considering energy carrier dependency.
    Journal: Smart Energy
    Authors: Thanh Huynh, F. Schmidt, S. Thiem, M. Kautz, F. Steinke, S. Niessen
    DOI: 10.1016/j.segy.2022.100065
    Summary: This study investigates the interaction between energy carriers and storage systems within local markets for hybrid thermal-electric energy systems, proposing solutions to improve reliability and economic viability.
  • 2020
    Title: Optimal electric-distribution-grid planning considering demand-side flexibility.
    Journal: Applied Energy
    Authors: S. Troitzsch, B. K. Sreepathi, Thanh P. Huynh, A. Moine, S. Hanif, J. Fonseca, T. Hamacher
    DOI: 10.1016/j.apenergy.2020.114917
    Summary: Focused on the integration of thermal building systems’ flexibility into electric grid planning, this paper provides an optimization framework tested in Singapore’s distribution grid.

Conclusion

Thanh Huynh is a strong candidate for the Best Researcher Award, with a compelling combination of academic excellence, professional innovation, and societal impact. His work addresses critical global challenges in energy systems and digitalization, making him a valuable contributor to both research and industry. While there is room for further outreach and diversification, his achievements to date position him as a deserving recipient of the award.

 

Adrian-Augustin Pop | Microgrid | Best Researcher Award

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Assoc. Prof. Dr. Adrian-Augustin Pop | Microgrid | Best Researcher Award

Doctorate at TUCN, Romania.

Summary:

Assoc. Prof. Dr. Adrian-Augustin Pop is a Senior Lecturer at the Technical University of Cluj-Napoca, Romania, with extensive experience in the industrial automotive sector. His expertise encompasses electrical engineering design, focusing on electrical machines, drives, programming, optimization algorithms, microcontrollers, FPGA technology, battery management systems, and R&D in automotive applications. Dr. Pop has contributed to multiple high-impact European research projects aimed at renewable energy integration, including the MiDiNA project under the LEAP-RE Horizon 2020 initiative and the MAXIMA project funded by Horizon Europe.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Electrical and Electronics Engineering – Ecole Centrale de Lille, France, 2013
  • Ph.D. in Electrical Engineering – Technical University of Cluj-Napoca, Romania, 2013
  • Master’s in Electrical Engineering – Technical University of Cluj-Napoca, 2009
  • Erasmus Student – Ecole Centrale de Lille, France, 2009
  • B.Sc. in Electrical Engineering – Technical University of Cluj-Napoca, Romania, 2009

🏢 Professional Experience:

Dr. Pop currently serves as a Senior Lecturer in the Faculty of Electrical Engineering at the Technical University of Cluj-Napoca, Department of Electric Machines and Drives. In this role, he leads and supports courses in Electrical Machines & Drives, Microcontrollers, and Advanced Programming (LabVIEW, FPGA, STM32, Texas Instruments, etc.), while supervising graduate projects and R&D activities. Prior to academia, he held leadership roles in the industry, including a tenure as Engineering Manager at Emerson-Leroy Somer, where he directed new product development, laboratories, and managed design and testing teams for electrical machines and software applications.

Dr. Pop is the project leader for the MiDiNA project, a multidisciplinary study focused on microgrid implementation for power supply in African countries under critical conditions. He is also a project member in MAXIMA, aimed at developing modular permanent magnet axial flux machines for automotive applications, emphasizing optimal control, digital twin implementation, and lifecycle assessment to reduce environmental impact.

Research Interests:

  • Electromagnetic and thermal design optimization of electrical machines
  • Battery management systems and renewable energy applications in microgrids
  • FPGA-based real-time testing for automotive applications
  • Sustainable electrical machine design, including modular permanent magnet machines
  • Control systems and digital twin technologies for improved performance and recyclability in electric drives

Author Metrics:

  • Citations: Approximately 120
  • h-index: 6
  • Key Publications: Dr. Pop has published in areas spanning electrical machine design optimization, renewable energy, and advanced control systems. His work is widely referenced in the automotive and renewable energy sectors for both industrial applications and academic advancements.

Top Noted Publication:

  • Flux-Density Space-Harmonics Minimization for an Axial-Flux Permanent-Magnet Machine
    Authors: Adrian-Augustin Pop, M Radulescu, H Balan
    Conference: 4th International Symposium on Electrical and Electronics Engineering
    Year: 2013
    Citations: 7
    Summary: This paper discusses the optimization of axial-flux permanent-magnet (AFPM) machines by minimizing flux-density space harmonics. The study aims to reduce cogging torque and improve the operational efficiency of AFPM machines in low-speed direct-drive applications.
  • Current Control Methods for Grid-Side Three-Phase PWM Voltage-Source Inverter in Distributed Generation Systems
    Authors: I Lar, MM Radulescu, E Ritchie, Adrian-Augustin Pop
    Conference: 13th International Conference on Optimization of Electrical and Electronic Equipment
    Year: 2012
    Citations: 6
    Summary: The paper explores various current control techniques for three-phase PWM inverters used in distributed generation systems. The focus is on improving power quality and efficiency while ensuring compatibility with the grid in renewable energy applications.
  • Incremental Encoder Speed Acquisition Using an STM32 Microcontroller and NI ELVIS
    Author: Adrian-Augustin Pop
    Journal: Sensors 22 (14), 5127
    Year: 2022
    Citations: 5
    Summary: This paper details the design of a system for speed acquisition of incremental encoders using an STM32 microcontroller and National Instruments ELVIS. The system is designed for real-time motor speed measurement, which is critical for control and monitoring applications.
  • Design of IoT-Based Flood Monitoring and Alerting System
    Authors: ED Maer, Adrian-Augustin Pop
    Conference: IEEE 20th International Power Electronics and Motion Control Conference
    Year: 2022
    Citations: 4
    Summary: The paper presents the design of an IoT-based flood monitoring and alert system, aimed at providing real-time monitoring and alerts for flood-prone regions. The system is designed for disaster management, enhancing early warning capabilities.
  • Hybrid Water Collecting and Management System Using Smart Home Technologies
    Authors: ED Maer, Adrian-Augustin Pop, DC Popa, IC Gros
    Conference: 28th International Workshop on Electric Drives: Improving Reliability
    Year: 2021
    Citations: 4
    Summary: This paper explores the integration of smart home technologies in designing a hybrid water collection and management system. It aims to provide sustainable and energy-efficient solutions for urban water resource management.

Conclusion:

Assoc. Prof. Dr. Adrian-Augustin Pop is a highly deserving candidate for the Best Researcher Award. His leadership in high-impact projects, innovative research on sustainable energy systems, and integration of cutting-edge technologies demonstrate his commitment to advancing the fields of electrical engineering and renewable energy. While his work has strong industrial applications, increasing his publication impact and broadening his interdisciplinary collaborations could elevate his contributions even further. Overall, Dr. Pop’s academic rigor, combined with his practical, real-world impact, makes him an excellent candidate for this prestigious award.

 

 

Jamshir Qureshi | Cybersecurity | Best Researcher Award

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Mr. Jamshir Qureshi | Cybersecurity | Best Researcher Award 

Vice President, at Purdue University Global, United States.

Summary

Jamshir Qureshi is a seasoned Solution Architect based in Dallas/Fort Worth, Texas, with over two decades of experience in FinTech and regulated industries. Specializing in developing resilient, secure, and scalable enterprise architectures, he has led transformative projects in modern application platforms, cloud-native solutions, and cybersecurity frameworks. His extensive knowledge extends to healthcare information systems and compliance-driven solutions, supporting operational excellence in highly regulated environments. In addition to his technical contributions, Jamshir actively engages in thought leadership, authoring works on AI-driven innovations and their impact on digital transformation. His recent paper, “AI-Powered Cloud-Based E-Commerce,” presented at the IACIS 2024 Conference, showcases his commitment to integrating AI into cloud technologies for digital business growth. Recognized for his leadership in AI-powered cybersecurity solutions, he also served as a judge for the Globee Awards in Cybersecurity. Jamshir is passionate about mentoring and driving continuous improvement across teams and aligning strategies with business priorities.

Professional Profile

Education

🎓 Jamshir Qureshi holds a Master of Science in Information Technology from Purdue University Global, USA. This advanced degree has equipped him with the knowledge and technical prowess to tackle complex architectural and technological challenges in today’s fast-evolving digital landscape. Beyond his formal education, Jamshir is dedicated to continuous learning, demonstrated by his professional certifications. He is an AWS Certified Solutions Architect – Professional, showcasing his commitment to cloud excellence and proficiency in designing and implementing solutions on Amazon Web Services. His memberships in prominent organizations like the National Society of Leadership and Success (NSLS) and the American Association for the Advancement of Science reflect his passion for professional development and leadership in technology. These credentials, combined with his diverse experiences, have empowered Jamshir to build solutions that meet rigorous standards in highly regulated industries, including FinTech and healthcare.

Experience

💼 Over his 20+ year career, Jamshir Qureshi has built a strong foundation in enterprise architecture, focusing on scalable, secure, and resilient systems across various global firms. Currently, he serves as Vice President of Software Engineering at MUFG Bank in Dallas, Texas, where he drives technology initiatives and leads engineering teams. His career includes significant roles, such as Architect at Charles Schwab (2016-2021) and Lead Software Engineer at CVS Caremark (2011). He has also worked with prestigious organizations like Target and OM Software Ltd., spanning locations from India to South Africa and the U.S. Jamshir’s expertise in cloud-native platforms, microservices, DevOps practices, and cybersecurity has allowed him to implement successful strategies that align with business objectives, compliance standards, and operational excellence. His leadership in regulated industries has been recognized as transformative, focusing on innovation and team mentorship.

Research Interests

🔬 Jamshir’s research interests center on the transformative applications of artificial intelligence (AI) and cloud technology in FinTech, e-commerce, and healthcare systems. His research addresses emerging trends in AI-driven solutions, exploring how AI impacts human cognition, emotion, and healthcare. His paper “AI-Powered Cloud-Based E-Commerce,” presented at the IACIS 2024 Conference, delves into how AI integration with cloud technologies can enhance digital business strategies. His interest in AI deepfakes, illustrated in his work “Deciphering Deception: The Impact of AI Deepfakes on Human Cognition and Emotion,” explores the ethical and psychological implications of deepfake technology. Jamshir is also intrigued by the role of AI in healthcare, analyzing both risks and benefits in publications such as “AI Deepfakes in Healthcare: A Double-Edged Sword.” His work underscores his dedication to leveraging AI for innovation while recognizing the ethical considerations tied to this technology.

Awards

🏆 Jamshir Qureshi has received notable recognition for his contributions to technology and innovation. He was honored as a judge for the prestigious Globee Awards in Cybersecurity, reflecting his expertise in AI-powered cybersecurity solutions. His leadership in advancing secure, resilient, and scalable architectures in highly regulated environments has set a standard for excellence. Jamshir’s work on integrating AI into enterprise systems has garnered industry attention, positioning him as a thought leader in cloud-based e-commerce and AI-driven digital transformation. Additionally, his influence extends to the academic and professional communities, where he has shared his expertise through publications and conference presentations. His accolades underscore his commitment to enhancing technology-driven solutions and his ability to shape the future of cybersecurity, artificial intelligence, and enterprise architecture.

Top Noted Publications

📚 Below are some of Jamshir Qureshi’s notable publications, illustrating his contributions to AI and digital transformation:

  • “AI-Powered Cloud-Based E-Commerce: Driving Digital Business Transformation Initiatives”
    • Published in: IACIS 2024 Conference
    • Summary: This paper explores how artificial intelligence (AI) integrated with cloud technologies can drive digital business transformation in e-commerce. It discusses the potential of AI in enhancing business operations, customer experience, and overall business agility, with an emphasis on cloud-native platforms, scalability, and resilience. The paper provides insights into how AI applications can reshape business strategies and models in the digital age.
    • Link: IACIS 2024 Conference Paper
  • “Deciphering Deception: The Impact of AI Deepfakes on Human Cognition and Emotion”
    • Published in: Journal of Applied Artificial Intelligence, 2024
    • Summary: This paper delves into the psychological and cognitive implications of AI-generated deepfakes. It explores how deepfakes influence human perception, trust, and emotions, addressing the ethical concerns and risks associated with their use. The paper discusses both the dangers and potential applications of deepfakes in various sectors, including media and healthcare.
    • Link: Journal of Applied Artificial Intelligence
  • “Artificial Intelligence (AI) Deepfakes in Healthcare Systems: A Double-Edged Sword? Balancing Opportunities and Navigating Risks”
    • Published in: Preprints, 2024
    • Summary: This paper examines the dual nature of AI deepfakes in healthcare. While deepfakes offer transformative potential in areas like medical imaging and patient simulation, they also pose significant risks related to misinformation, privacy, and ethical concerns. The paper explores strategies for navigating these challenges while harnessing the benefits of AI in healthcare.
    • Link: Preprints – AI Deepfakes in Healthcare
  • “How Artificial Intelligence Technology Can Be Used to Treat Diabetes”
    • Published in: Preprints, 2024
    • Summary: This paper investigates how AI technologies can be applied in the treatment of diabetes, focusing on data analytics, predictive modeling, and personalized medicine. It reviews AI-driven advancements in monitoring glucose levels, improving diagnostic accuracy, and designing tailored treatment plans to enhance patient outcomes.
    • Link: Preprints – AI in Diabetes Treatment
  • “How Artificial Intelligence and Machine Learning Can Impact Market Design”
    • Published in: OPAST Publishers, 2024
    • Summary: This paper explores the role of AI and machine learning in transforming market design. It discusses how these technologies can improve market efficiency, enhance decision-making processes, and optimize resource allocation. The paper highlights the future of AI-driven market solutions, particularly in areas such as pricing strategies, demand forecasting, and dynamic pricing models.
    • Link: OPAST Publishers – AI and Market Design

Conclusion

Jamshir Qureshi is a strong candidate for the Best Researcher Award, given his extensive background, contributions to AI and cybersecurity, and demonstrated thought leadership in highly regulated industries. His career reflects an impressive blend of industry expertise, technical knowledge, and commitment to emerging research areas like AI ethics, cybersecurity, and market design. While a more focused publication strategy and deeper academic collaborations could enhance his research impact, his contributions already make a significant case for recognition. His dedication to innovation and the ethical challenges of technology use strengthens his candidacy, aligning well with the goals of a Best Researcher Award.

 

Rahul Khurana | AI & Cybersecurity for E-Commerce | Best Paper Award

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Principal Architect, Systems at T-Mobile INC USA, United States

Summary:

Rahul Khurana, a seasoned IT professional with over 16 years of experience, is a trailblazer in enterprise systems, e-commerce, and telecom solutions. At T-Mobile USA, he has been instrumental in driving AI-powered initiatives that revolutionize digital commerce, streamline operations, and enhance customer trust through unparalleled billing and purchase transparency. His leadership in transformative projects like the Chatbot eCommerce initiative and the Digital Self-Service program has elevated T-Mobile’s digital contribution from a mere 1% to an impressive 65%, significantly contributing to the company’s growth from 20 million to over 116 million customers. 

Rahul’s research and innovations are not just reshaping T-Mobile’s operations but are also making waves globally. Industry leaders, including CEOs and executives from companies in the United States and Australia, have successfully applied his findings to drive business expansion and enhance operational efficiency. His expertise in integrating emerging technologies like AI, cloud solutions, and cybersecurity ensures secure, scalable systems that safeguard customer data while meeting evolving business needs. A mentor and visionary leader, Rahul continues to foster innovation across teams, setting industry benchmarks. 
Recognized with the 2024 Global Recognition Award for redefining telecommunications and establishing global standards of excellence, Rahul Khurana’s impact extends far beyond his organization, influencing the global technology landscape and inspiring the next generation of innovators. 

Professional Profile:

👩‍🎓Education:

Bachelor’s in Computer Science
Noida Institute of Engineering and Technologies, Greater Noida, UP, India

🏢 Professional Experience:

T-Mobile USA
Principal Architect, Digital | Nov 2017 – Present

  • Architected and led multibillion-dollar programs like D360, Purchase Transparency, AI e-Commerce chatbot, driving innovations in billing transparency, e-commerce, and digital self-service solutions.
  • Spearheaded AI-powered chatbot systems, leveraging 300+ APIs to enhance customer interactions, reduce call center volumes by 30%, and boost online sales conversions by 65%.
  • Drove the adoption of microservices architecture, streamlining enterprise scalability and enabling seamless integration of payment solutions, identity verification systems, and advanced fraud detection mechanisms.
  • Delivered a world-class commerce system that increased T-Mobile’s digital contribution from 1% to 65%, directly contributing to the company’s growth from 20 million to 116 million customers.
  • Implemented robust cybersecurity frameworks and innovative AI-powered automation, ensuring secure and efficient e-commerce operations aligned with global compliance standards.
  • Provided technical leadership across multiple vendor collaborations, including Adobe, Amdocs, and Salesforce, while mentoring development teams and fostering innovation.

Awards & Recognitions:

  • Global Recognition Award (2024) – Honored for transformative contributions to the telecommunications industry, redefining digital commerce and setting global standards.
  • Peak Award (2018 & 2023) – T-Mobile USA: Recognizing exceptional performance and leadership in digital architecture and cross-domain initiatives.
  • O2 Award (2013 to 2015) – HCL Technologies Ltd.: Recognizing outstanding performance in project delivery and innovation consecutively 3 times.  

Research Interests:

  • AI/ML in e-commerce and customer experience optimization
  • Cybersecurity integration in AI solutions
  • Microservices and cloud architecture for large-scale enterprise systems

Top Noted Publication:

Dynamic Cybersecurity Strategies for AI-Enhanced Ecommerce: A Federated Learning Approach to Data Privacy

  • Authors: R. Khurana, D. Kaul
  • Journal: Applied Research in Artificial Intelligence and Cloud Computing
  • Volume: 2 (1), Pages: 32-43
  • Year: 2019
  • Citations: 19
  • Summary: This study presents a federated learning-based approach to bolster data privacy in AI-enhanced e-commerce environments. The paper proposes adaptive cybersecurity measures to mitigate data privacy risks associated with distributed AI processing.

Fraud Detection in Ecommerce Payment Systems: The Role of Predictive AI in Real-Time Transaction Security and Risk Management

  • Author: R. Khurana
  • Journal: International Journal of Applied Machine Learning and Computational Sciences
  • Year: 2020
  • Citations: 18
  • Summary: Focused on fraud prevention, this paper examines the use of predictive AI for real-time security in e-commerce payment systems. Khurana explores how these predictive models enhance transaction security and help in preemptively managing fraud risks.

Implementing Encryption and Cybersecurity Strategies Across Client, Communication, Response Generation, and Database Modules in E-Commerce Conversational AI Systems

  • Author: R. Khurana
  • Journal: International Journal of Information and Cybersecurity
  • Volume: 5 (5), Pages: 1-22
  • Year: 2021
  • Citations: 15
  • Summary: This work details the implementation of encryption and cybersecurity measures within conversational AI systems used in e-commerce, covering various system components like client interfaces, communication channels, response generation modules, and databases.

Next-Gen AI Architectures for Telecom: Federated Learning, Graph Neural Networks, and Privacy-First Customer Automation

  • Author: R. Khurana
  • Journal: Sage Science Review of Applied Machine Learning
  • Volume: 5 (2), Pages: 113-126
  • Year: 2022
  • Citations: 13
  • Summary: This publication explores the integration of federated learning and graph neural networks within telecom applications. Khurana examines privacy-first architectures aimed at customer automation, which prioritize data security and privacy in large-scale customer interactions.

Applications of Quantum Computing in Telecom E-Commerce: Analysis of QKD, QAOA, and QML for Data Encryption, Speed Optimization, and AI-Driven Customer Experience

  • Author: R. Khurana
  • Journal: Quarterly Journal of Emerging Technologies and Innovations
  • Volume: 7 (9), Pages: 1-15
  • Year: 2022
  • Citations: 13
  • Summary: This study investigates the application of quantum computing technologies, including Quantum Key Distribution (QKD), Quantum Approximate Optimization Algorithm (QAOA), and Quantum Machine Learning (QML), within telecom e-commerce. It focuses on advancements in data encryption, speed optimization, and enhanced AI-driven customer experiences.

Conclusion:

Mr. Rahul Khurana is a deserving recipient of the Best Paper Award for his groundbreaking contributions to AI, cybersecurity, and quantum computing within e-commerce. His research not only addresses critical challenges in fraud detection, transaction security, and data privacy but also demonstrates practical applications that have been adopted globally. CEOs and industry leaders in the United States and Australia have leveraged his insights to drive business growth and operational efficiency.

Rahul’s visionary integration of cutting-edge technologies highlights his ability to bridge innovation with real-world challenges, setting new industry benchmarks. His work transcends traditional research, offering transformative solutions that influence global commerce and technology landscapes. As an industry leader, his accomplishments exemplify the spirit of the Best Paper Award, recognizing research that inspires progress, reshapes industries, and fosters a forward-looking perspective on e-commerce and telecommunications.

 

Ling Ji | Rock blasting | Best Researcher Award

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Dr. Ling Ji | Rock blasting | Best Researcher Award

University Lecturer, at Anhui University of Science and Technology, China.

Summary

Ling Ji is a dedicated lecturer at Anhui University of Science and Technology in the School of Civil and Architectural Engineering. she holds a Ph.D. from the China University of Geosciences (Wuhan) and specializes in the dynamic damage mechanism and control of tunnel surrounding rock blasting. With significant experience in numerical simulation and theoretical approaches to rock blasting, Ling has contributed substantially to the understanding and safety of tunnel construction, particularly in complex geological settings like water-rich and fracture zones. His work is characterized by a deep commitment to practical solutions, making a significant impact on underground engineering and blasting safety. 🌍

Professional Profile

Scopus

Education 🎓

Ling Ji earned his Ph.D. from the China University of Geosciences (Wuhan), focusing on the dynamic effects of tunnel blasting. His educational background includes comprehensive training in rock mechanics, engineering blasting, and numerical modeling, which laid the foundation for his subsequent research and academic career. Ling’s expertise extends to advanced computational techniques and their application to practical engineering challenges in tunneling and rock slope stability. His academic journey has consistently supported his goal of improving safety and efficiency in tunnel construction, making him a recognized figure in the field of underground engineering. 📚

Experience 🛠️

Ling Ji is currently a lecturer at Anhui University of Science and Technology, where she imparts knowledge in civil and architectural engineering. His academic career has been marked by his deep engagement in cutting-edge research on tunnel blasting and surrounding rock damage. she has completed multiple high-profile research projects, such as optimizing blasting techniques for large cross-section tunnels and developing safety standards for tunnel construction in challenging geological conditions. Ling has also worked as a consultant for several tunnel construction projects, offering expert guidance on blasting techniques and rock stability, particularly in the Longnan Tunnel of the Gan-Shen High-Speed Railway. 🏗️

Research Interests 🔬

Ling Ji’s primary research interests lie in rock dynamics, underground engineering blasting, and finite element method (FEM) numerical simulation. His work aims to enhance the safety and efficiency of tunnel construction, particularly in water-rich and fracture-prone zones. Ling’s ongoing research projects include studying the cumulative damage effects in hard-rock tunnels under blasting and the development of safety criteria to predict and control blasting-induced instability. she also focuses on the damage mechanism of jointed tunnel surrounding rock and the dynamic instability of rock slopes under blasting conditions. His work integrates theoretical and experimental approaches to improve the stability and safety of underground engineering projects. 🌋

Awards 🏅

Ling Ji’s research contributions have earned him significant recognition in the field of rock mechanics and blasting engineering. His work on tunnel blasting safety, particularly in complex geological conditions, has been acknowledged in numerous academic and professional circles. Notably, she has received awards for his innovative research on blast-induced damage in tunnels and for his role in optimizing construction methods in large cross-section tunnels. Ling is also nominated for the Best Paper Award for his groundbreaking work on the cumulative damage effects and safety criteria for surrounding rock in blasting operations. 🏆

Top Noted Publications 📚

Conclusion

Dr. Ling Ji is a strong candidate for the Best Researcher Award, with a proven track record in theoretical and applied research on tunnel safety and rock blasting. Their contributions significantly advance knowledge in dynamic rock behavior, with practical applications that are critical for infrastructure development. This award would not only recognize Dr. Ji’s past accomplishments but also support their continued research in this vital field.

 

Deepak Kaul | AI Technology | Best Researcher Award

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Mr. Deepak Kaul | AI Technology | Best Researcher Award

Senior Software Engineer at Marriott International, Inc, United States
Summary:

Deepak Kaul is a highly qualified candidate for the Best Researcher Award, with over 19 years of experience in technical architecture and expertise in AI, ML, and cybersecurity. His career spans designing, implementing, and securing complex systems for major clients, with a strong track record in threat detection, predictive analytics, and real-time decision-making. His work in leveraging AI to enhance cybersecurity measures and optimize operations has led to impactful transformations in diverse industries, including hospitality, insurance, and telecommunications. Kaul’s innovative contributions and commitment to secure, scalable, and AI-driven solutions make him a noteworthy contender for this prestigious award.

Professional Profile:

👩‍🎓Education:

Deepak Kaul holds a Master of Computer Application degree from Punjab Technical University in Jalandhar, where he developed a solid foundation in computer science, software engineering, and systems architecture. His academic journey centered around mastering core programming languages, data structures, and algorithms, equipping him to navigate complex technology environments. Through his coursework and projects, Kaul built proficiency in designing and implementing scalable software architectures, fostering his long-standing interest in AI and ML. His commitment to lifelong learning is evident in his pursuit of multiple certifications, including TOGAF 9.2 for enterprise architecture, a Microservices Bootcamp from Coursera, and Cybersecurity Fundamentals from IBM Security Academy. This extensive educational background has empowered Kaul to bridge theoretical knowledge with practical expertise, facilitating his successful career in designing AI and cybersecurity systems that address critical challenges in modern enterprise environments.

🏢 Professional Experience:

Deepak Kaul has held pivotal roles in technology and security architecture, specializing in AI/ML, cybersecurity, and cloud-native solutions. Currently, he serves as a Solution Architect at Marriott International, where he has led the design of AI-powered platforms that enhance customer experiences and secure data across a suite of applications. Previously, as Solution Architect at Capgemini, he developed AI-driven insurance models and fraud detection systems, improving data security and operational efficiency for clients like USAA. Kaul’s earlier roles at Infosys and TCS solidified his expertise in developing and securing large-scale systems for industries ranging from banking to manufacturing. His work consistently emphasizes the integration of AI and cybersecurity, with measurable outcomes such as a 40% reduction in security breaches and enhanced system reliability. Kaul’s extensive experience in architecting secure, intelligent solutions has distinguished him as an expert in his field.

Awards and Honors:

Deepak Kaul’s excellence in AI and cybersecurity has earned him numerous awards, underscoring his impact on the technology landscape. He received the prestigious TCS Innovation Lead Award in 2021 for his leadership in developing AI-based cybersecurity solutions, significantly improving threat detection capabilities. Additionally, he was honored with the TCS Best Team Award for successfully implementing AI/ML-powered cybersecurity features across a high-profile cloud-based platform. Kaul’s contributions have been recognized through On-the-Spot Awards on two occasions, celebrating his exceptional performance in fraud detection and cybersecurity projects. These awards reflect his unwavering commitment to innovation and technical rigor in AI-driven security systems. Kaul’s accolades not only validate his expertise but also affirm his role as a thought leader in secure enterprise solutions, furthering his reputation for excellence in the domains of AI and cybersecurity.

Research Interests:

Deepak Kaul’s research interests center around the intersection of AI, ML, and cybersecurity, particularly in applications that drive secure enterprise solutions. His research focus includes developing AI-driven threat detection systems, predictive analytics, and adaptive AI frameworks for high-stakes decision-making environments. A notable project explores dynamic upselling in hotel reservation systems based on real-time cybersecurity risk scores, offering an innovative approach to enhancing customer service without compromising data security. Another study, Adaptive Neuro-Symbolic AI for Autonomous Decision-Making in High-Stakes Systems, delves into intelligent algorithms that support decision-making accuracy in mission-critical scenarios. His research not only advances cybersecurity but also addresses real-time analytics and scalability challenges, positioning AI as a transformative tool in security protocols. Kaul’s work is grounded in practical application, aimed at enhancing both operational efficiency and security standards across industries.

Skills:

Deepak Kaul possesses a comprehensive skill set that spans programming, AI/ML, cybersecurity, cloud architecture, and DevOps. He is proficient in programming languages such as Java, Python, and frameworks like AngularJS and Spring Boot, which enable him to build scalable, robust systems. His expertise in AI and ML includes proficiency in frameworks like TensorFlow, Keras, and PyTorch, essential for developing predictive models and real-time data analytics solutions. Kaul has a deep understanding of cybersecurity protocols and tools, including CyberArk, AWS KMS, Splunk, and the ELK Stack, to safeguard data integrity and ensure compliance. In cloud architecture, he has extensive experience with AWS services such as S3, DocumentDB, and SageMaker, enabling the creation of secure cloud-native applications. Additionally, his DevOps skills include setting up CI/CD pipelines with Jenkins and Git, ensuring streamlined development processes. Kaul’s skills make him a versatile and technically proficient architect.

Top Noted Publication:

Adaptive Neuro-Symbolic AI for Autonomous Decision-Making in High-Stakes Mission-Critical Systems

Authors: Deepak Kaul

Year: 2024

DOI: 10.21275/sr241019113405

Journal: International Journal of Science and Research (IJSR)

ISSN: 2319-7064

AI-Based Adaptive Loyalty Program Vulnerability Detection in Hotel Reservation Systems

Authors: Deepak Kaul

Year: 2023

Journal: International Journal of Innovative Research in Technology

ISSN: 2349-6002

Dynamic AI-Based Intrusion Detection for Quantum Computing Networks

Authors: Deepak Kaul

Year: 2023

Journal: IJIRT (International Journal of Innovative Research in Technology)

ISSN: 2349-6002

AI-Driven Decentralized Authentication System Using Homomorphic Encryption

Authors: Deepak Kaul

Year: 2021

Journal: International Journal of Advanced Research in Engineering and Technology (IJARET)

AI-Driven Dynamic Upsell in Hotel Reservation Systems Based on Cybersecurity Risk Scores

Authors: Deepak Kaul

Year: 2021

Journal: International Journal of Computer Engineering and Technology (IJCET)

Dynamic Cybersecurity Strategies for AI-Enhanced E-Commerce: A Federated Learning Approach to Data Privacy

Authors: Deepak Kaul

Year: 2019

Journal: Applied Research in Artificial Intelligence and Cloud Computing

Conclusion:

Deepak Kaul’s extensive experience and innovative contributions to AI and cybersecurity place him among the top candidates for the Best Researcher Award. His work demonstrates a strong commitment to advancing technology and security solutions across sectors. With his achievements, coupled with potential growth areas in research publication and outreach, Kaul’s candidacy for this award reflects both his current impact and his promising potential for continued advancements in AI-driven cybersecurity.

 

Kokila J | Hardware security | Best Researcher Award

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Dr. Kokila J | Hardware security | Best Researcher Award

Assistant Professor at Indian Institute of Information Technology Tiruchirappalli, India
Summary:

Dr. J. Kokila is an Assistant Professor in the Department of Computer Science and Engineering with extensive experience in research and teaching. With a Ph.D. in hardware security, numerous awards, and publications, Dr. Kokila specializes in security and reliability of System-on-Chip (SoC) and Field-Programmable Gate Arrays (FPGA) systems, blockchain technology, and cybersecurity. They have published in well-regarded journals like IEEE Transactions on VLSI and have been recognized for contributions to cybersecurity, IoT, and hardware security at prestigious conferences and workshops.

Professional Profile:

  • Google Scholar Profile

👩‍🎓Education:

Dr. J. Kokila’s academic journey began with a Bachelor of Engineering in Computer Science and Engineering from Anna University, Chennai, where she graduated with distinction. She then pursued a Master of Engineering at Anna University Tiruchirappalli, specializing in speech processing techniques and achieving a rank in her program. Building on her foundations, she completed a Ph.D. at the National Institute of Technology, Tiruchirappalli, supported by the prestigious Visvesvaraya Ph.D. Scheme. Her doctoral research focused on enhancing security and reliability of heterogeneous Intellectual Properties (IPs) for SoC FPGAs, which addressed critical security issues in digital computing. Her educational background, distinguished by strong academic performance and specialized research, has equipped her with the knowledge and expertise to excel in cybersecurity and embedded systems, positioning her as a thought leader in computer science and engineering.

🏢 Professional Experience:

With over 18 years of academic and research experience, Dr. J. Kokila has served in various educational institutions across India, including the National Institute of Technology Tiruchirappalli, IIIT Allahabad, and IIIT Tiruchirappalli. Her roles have ranged from Lecturer to Senior Lecturer and Assistant Professor. She has taught a broad spectrum of subjects, from Cybersecurity and Blockchain to Compiler Design and Operating Systems. In addition to teaching, she has held key administrative positions, such as Library In-charge and Department Committee Member, and actively participated in accreditation and course development. Dr. Kokila has also guided numerous student projects at the undergraduate and postgraduate levels, showcasing her dedication to mentoring future researchers and engineers. Her experience spans academia, research, and administration, illustrating her commitment to educational excellence and institutional development.

Awards and Honors:

Dr. J. Kokila’s contributions to academia and research have earned her numerous awards and distinctions. She received first-class distinction in her B.E. and M.E. programs and was awarded College First in her B.E. class. As a Visvesvaraya Ph.D. scholar, she was the first from her department at NIT Tiruchirappalli to join the scheme. Her research excellence was acknowledged with the “Certificate of Recognition” from IEEE Transactions on Very Large Scale Integration Systems for publishing a notable paper. She also won the Best Paper Award at the 2023 IEEE International Conference on Quantum Technologies for her work on blockchain and embedded system security. These accolades highlight her impact in cybersecurity, hardware security, and SoC technologies, establishing her as a respected researcher and educator in her field.

Research Interests:

Dr. J. Kokila’s research centers on cybersecurity for hardware and embedded systems, including blockchain technology, IoT security, and System-on-Chip (SoC) platforms. She has pioneered studies in the reliability and security of SoC FPGAs, specifically focusing on enhancing the security of heterogeneous IPs in these devices. Dr. Kokila’s research also investigates cryptographic methods to secure IoT devices at the edge, addressing critical security needs in edge computing. Her work on Physical Unclonable Functions (PUFs) for device authentication and blockchain-based frameworks for secure firmware updates highlights her innovative approach to cybersecurity. Through journal publications and conference presentations, Dr. Kokila shares her findings and continues to push the boundaries in secure, reliable computing for modern digital architectures.

Skills:

Dr. J. Kokila possesses a diverse set of skills in computer science and engineering, particularly in cybersecurity, hardware security, and embedded system design. Her technical skills include expertise in SoC platforms, FPGA programming, and cryptography, with proficiency in designing secure architectures for IoT and edge devices. She is highly skilled in computer programming languages and digital design tools, essential for developing secure and reliable computing systems. In addition to her technical abilities, Dr. Kokila has strong academic skills, including teaching, curriculum design, and student mentoring. Her experience in organizing events, guiding research projects, and contributing to academic committees reflects her administrative and leadership capabilities. These combined skills enable her to excel in both research and teaching, making her a valuable asset in academia.

Top Noted Publication:

“Resource Efficient Metering Scheme for Protecting SoC FPGA Device and IPs in IoT Applications”
Authors: J. Kokila, N. Ramasubramanian, N. Naganathan
Citations: 13
Year: 2019

“Enhanced Authentication Using Hybrid PUF with FSM for Protecting IPs of SoC FPGAs”
Authors: J. Kokila, N. Ramasubramanian
Citations: 10
Year: 2019

“A Survey of Hardware and Software Co-Design Issues for System on Chip Design”
Authors: J. Kokila, N. Ramasubramanian, S. Indrajeet
Citations: 10
Year: 2016

“Device-Specific Security Challenges and Solution in IoT Edge Computing: A Review”
Authors: A. Roy, J. Kokila, N. Ramasubramanian, B.S. Begum
Citations: 8
Year: 2023

“Lightweight Two-Factor Authentication Using Hybrid PUF and FSM for SoC FPGA”
Authors: J. Kokila, M. Baby Chellam, A. Murali Das, N. Ramasubramanian
Citations: 5
Year: 2018

“Adaptive Dynamic Partial Reconfigurable Security System”
Authors: B.C. Manjith, J. Kokila, R. Natarajan
Citations: 4
Year: 2018

“Detection of Hardware Trojan Using CNN with Residual Network”
Authors: A. Roy, P. Panwar, J. Kokila, N. Ramasubramanian, B.S. Begum
Citations: 3
Year: 2022

“Detection of Hardware Trojans Using Machine Learning in SoC FPGAs”
Authors: C. Chithra, J. Kokila, N. Ramasubramanian
Citations: 3
Year: 2020

“Hardware Signature Generation Using a Hybrid PUF and FSM Model for an SoC Architecture”
Authors: J. Kokila, A.M. Das, B.S. Begum, N. Ramasubramanian
Citations: 3
Year: 2019

“Dynamic Estimation of Temporary Failure in SoC FPGAs for Heterogeneous Applications”
Authors: J. Kokila, N. Ramasubramanian, R. Thamma
Citations: 3
Year: 2018

Conclusion:

Dr. J. Kokila stands out as a strong candidate for the Best Researcher Award, with notable strengths in high-impact research, recognition in cybersecurity and hardware security, and active engagement in academia. By expanding collaborations, industry outreach, and funding efforts, Dr. Kokila could further enhance their research profile and contribution to the field. Overall, their dedication, specialized knowledge, and consistent contributions make them highly deserving of the Best Researcher Award.

 

Abdelaaziz Bounabe | Therapeutic Education | Best Researcher Award

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Mr. Abdelaaziz Bounabe | Therapeutic Education | Best Researcher Award

Abdelaaziz Bounabe at University Hassan II Casablanca, Morocco

Summary:

Mr. Abdelaziz Bounabe, a dedicated PhD candidate at Hassan II University, is recognized for his research contributions in rheumatology and health promotion. His work in health education and arthritis research aims to impact public health positively, leveraging scientific findings to enhance community health outcomes.

Professional Profile:

👩‍🎓Education:

  • PhD in Health Sciences (Ongoing) – Hassan II University, Casablanca
  • Master’s Degree (specific field and institution details not provided)
  • Bachelor’s Degree (specific field and institution details not provided)

🏢 Professional Experience:

As a PhD candidate, Mr. Bounabe has actively contributed to several research projects and published findings in peer-reviewed journals. His work in health sciences includes consultancy engagements and collaborative research on arthritis management, health education, and preventive health. Additionally, he has developed skills in data analysis, field research, and academic publishing, and regularly engages with industry professionals and researchers through academic conferences and seminars.

Research Interests:

  • Rheumatology and Arthritis: Exploring advanced treatment options, diagnosis, and health impacts of arthritis.
  • Health Promotion: Developing strategies to enhance health education and preventive health practices within communities.

Research and Academic Contributions:

Mr. Bounabe’s academic metrics reflect his active role in research, with publications indexed in SCI and Scopus databases. His work is known for its relevance to health practitioners and educators, aiming to bridge gaps in health understanding and improve clinical outcomes. He has also contributed to health and education by participating in professional associations and collaborating with peers in joint research projects.

Top Noted Publication:

Opportunistic Infections in HIV-Infected Children on Treatment in Southern Morocco: A 12-Years Retrospective Follow-up Study

  • Journal: Infection & Chemotherapy
  • Year: 2024
  • DOI: 10.3947/ic.2024.0056
  • Contributors: Hayat Iziki, Souad Yakini, Raja Ouabich, Abdelaaziz Bounabe, Nezha Doukkani, Naima Ben-Abjaou, Sanae Ben Taleb, Hicham Blaak, Amal Boutib, Amina Barkat

Effectiveness of Patient Education on the Quality of Life of Patients with Rheumatoid Arthritis: A Systematic Review and Meta-Analysis

  • Journal: Seminars in Arthritis and Rheumatism
  • Publication Date: December 2024
  • DOI: 10.1016/j.semarthrit.2024.152569
  • Contributors: Abdelaaziz Bounabe, Siham Elammare, Saadia Janani, Raja Ouabich, Ilham Elarrachi

Science Awareness: Analysis of Moroccan Curriculum Framework for Preschool Education

  • Journal: European Journal of Educational Research
  • Publication Date: July 15, 2023
  • DOI: 10.12973/eu-jer.12.3.1233
  • Contributors: Raja Ouabich, Lahcen Tifroute, Abdelaaziz Bounabe

Conclusion:

Mr. Abdelaaziz Bounabe is a promising researcher with a strong foundation in rheumatology and health promotion. His research in arthritis, patient education, and health education for children is highly relevant and impactful, particularly for improving the quality of life of individuals with chronic conditions and shaping public health policies. To enhance his future contributions, expanding the scope of his research and increasing collaboration with clinical teams and securing funding would further bolster his career. Overall, Mr. Bounabe is a worthy candidate for the Best Researcher Award, given his ongoing dedication to improving health outcomes and advancing knowledge in his field.

 

Ridha Benadli | electrical energy | Best Researcher Award

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Dr. Ridha Benadli | electrical energy | Best Researcher Award

Teaching-Researcher at L2EP, France
Summary:

Dr. Ridha Benadli is a distinguished researcher and educator in the field of electrical engineering with a specialization in advanced control systems, renewable energy systems, and power electronics. He has extensive academic and research experience across institutions in France and Tunisia, contributing actively to the development of energy conversion and management techniques, specifically for hybrid renewable energy systems. His research encompasses modeling, control, and optimization of micro-grids, particularly in photovoltaic and hybrid energy systems, and he has several publications in esteemed journals and conferences in the field.

Professional Profile:

👩‍🎓Education:

Dr. Benadli holds a Ph.D. in Electrical Engineering from the École Nationale Supérieure d’Ingénieurs de Tunis (ENSIT), where he specialized in predictive and sliding mode control for optimizing hybrid energy systems. He completed his master’s degree at ENSIT with a focus on hybrid photovoltaic-wind energy control, and his undergraduate studies in electronics, electrotechnics, and automation. Throughout his academic journey, Dr. Benadli focused on areas essential to renewable energy optimization, particularly in modeling, simulation, and the development of advanced control algorithms. His solid educational background has equipped him with the technical skills and analytical foundation essential for his innovative work in renewable energy and power electronics, and he continues to leverage this foundation in his teaching and research roles.

🏢 Professional Experience:

Dr. Benadli has served in multiple academic and research roles across France and Tunisia, including his current position as Attaché Temporaire d’Enseignement et de Recherche (ATER) at Ecole Centrale de Lille, where he teaches and conducts research on energy conversion. He has also been an ATER at the IUT of Saint-Nazaire, where he focused on renewable energy projects, and a researcher at Grenoble’s G2Elab, working on energy management systems for mobility and renewable energy. Additionally, Dr. Benadli was an instructor at several Tunisian institutions, such as the Institut Supérieur des Études Technologiques and Université Libre de Tunis, where he taught courses on power electronics, energy management, and control systems. His experience spans research, teaching, and hands-on projects, making him a well-rounded academic.

Awards and Honors:

Dr. Benadli has been recognized for his research contributions in electrical engineering and renewable energy. Notably, he has received acclaim for his work in control systems and energy management through awards from academic conferences, including the International Conference on Electrical and Renewable Energy Sciences. Additionally, he was invited to speak at international conferences such as the Conference Internationale des Sciences et Technologies Électriques au Maghreb, where he shared his insights on hybrid renewable energy systems. His expertise has also earned him roles in research committees and as a jury member for student thesis evaluations, demonstrating his respected status in the academic community. His ongoing commitment to the field and various contributions have solidified his reputation as a leading figure in sustainable energy research.

Research Interests:

Dr. Benadli’s research centers on renewable energy systems, focusing on the integration of solar, wind, and fuel cells within hybrid systems for improved efficiency and stability. His work in advanced control methodologies, such as sliding mode and predictive control, aims to optimize energy management in micro-grids, enhancing stability and efficiency for sustainable energy applications. His projects often involve real-time control systems for renewable energy, examining ways to stabilize and manage these resources in hybrid systems. A notable part of his research is his work on the control of energy converters, with publications that address challenges in implementing efficient storage and transfer in hybrid systems. His research contributes to advancing reliable renewable energy solutions, which are vital for the transition to sustainable energy grids.

Skills:

Dr. Benadli possesses a robust skill set, including advanced technical expertise in MATLAB and LabVIEW for modeling, simulation, and control design. His proficiency extends to real-time systems using Control Desk Dspace and embedded programming in C. He is skilled in power electronics, renewable energy management, and developing micro-grid systems, with an emphasis on applying advanced control techniques for stability and efficiency. His educational and instructional skills are complemented by his organizational capabilities, project management experience, and a strong analytical background. Dr. Benadli is proficient in French, English, and Arabic, enabling him to collaborate internationally and contribute to academic projects in diverse settings. His teamwork, analytical acumen, and research skills make him a valuable contributor to the fields of electrical engineering and renewable energy.

Top Noted Publication:

📘 Title: “Three-phase grid-connected photovoltaic system with maximum power point tracking technique based on voltage-oriented control and using sliding mode controller”
Authors: R. Benadli, B. Khiari, A. Sellami
Published in: IREC2015 – The Sixth International Renewable Energy Congress
Citations: 46
Year: 2015

📗 Title: “Practical implementation of the backstepping sliding mode controller MPPT for a PV-storage application”
Authors: M. Bjaoui, B. Khiari, R. Benadli, M. Memni, A. Sellami
Published in: Energies, 12(18), 3539
Citations: 31
Year: 2019

📙 Title: “Sliding mode control of a photovoltaic-wind hybrid system”
Authors: R. Benadli, A. Sellami
Published in: 2014 International Conference on Electrical Sciences and Technologies
Citations: 25
Year: 2014

📘 Title: “Sliding mode control of hybrid renewable energy system operating in grid connected and stand-alone mode”
Authors: R. Benadli, M. Bjaoui, B. Khiari, A. Sellami
Published in: Power Electronics and Drives, 6(1), 144-166
Citations: 16
Year: 2021

📗 Title: “Predictive current control strategy for a three-phase grid connected photovoltaic-wind hybrid system”
Authors: R. Benadli, B. Khiari, A. Sellami
Published in: 2016 7th International Renewable Energy Congress (IREC)
Citations: 9
Year: 2016

📙 Title: “A direct backstepping super-twisting algorithm controller MPPT for a standalone photovoltaic storage system: design and real-time implementation”
Authors: R. Benadli, D. Frey, Y. Lembeye, M. Bjaoui, B. Khiari, A. Sellami
Published in: Journal of Solar Energy Engineering, 145(6), 061002
Citations: 7
Year: 2023

📘 Title: “An Improved Super-Twisting Sliding Mode Control for Standalone Hybrid Wind/Photovoltaic/Fuel Cell System Based on Energy Management of Battery/Hydrogen”
Authors: R. Benadli, B. Khiari, M. Bjaoui, M. Mamni, A. Sellami
Published in: Journal of Solar Energy Engineering, 144(3:031003)
Citations: 7
Year: 2022

📗 Title: “Improving grid connected hybrid generation system using an adaptive super-twisting sliding mode and predictive current control strategy”
Authors: R. Benadli
Published in: Journal of Control Engineering and Applied Informatics, 21(2), 64-75
Citations: 7
Year: 2019

📙 Title: “Control and simulation of a standalone photovoltaic-wind with a fuel cell and battery storage”
Authors: R. Benadli
Published in: Journal of Electrical Engineering, 20(5), 6-6
Citations: 2
Year: 2020

📘 Title: “Robust integral super-twisting controller for enhanced photovoltaic integration with hybrid battery and supercapacitor storage in DC microgrid”
Authors: R. Benadli, A. Houari, N. Ait-Ahmed, S. Motahhir, A.A. Pop, S. El Hani
Published in: Results in Engineering, 24, 103009
Citations: 1
Year: 2024

 

Conclusion:

Dr. Ridha Benadli is a strong candidate for the Best Researcher Award due to his contributions to electrical engineering, particularly in renewable energy and control systems. His research not only advances the field but also addresses critical issues in energy management, making a tangible impact on sustainability. With his solid academic track record, technical expertise, and commitment to teaching, Dr. Benadli demonstrates the qualities of a dedicated and impactful researcher. Addressing areas for growth, such as expanding research horizons and securing prominent research funding, will further strengthen his candidacy for future accolades in his field.

 

Ana Julia Pereira | Forensic Entomology | Best Researcher Award

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Prof. Dr. Ana Julia Pereira | Forensic Entomology | Best Researcher Award

Assistant at CONICET Argentina

Summary:

Dr. Ana Julia Pereira is an Assistant Researcher at the National Scientific and Technical Research Council (CONICET) in Argentina, specializing in forensic entomology. Her work focuses on the study of life cycles of Calliphoridae populations in Neuquén province and the use of genetic markers for forensic aging of pupae. She also serves as a court-appointed forensic expert in criminal cases, contributing to investigations in homicide and femicide. Dr. Pereira teaches forensic sciences and criminology at the Universidad Nacional de Rio Negro and has conducted workshops on forensic entomology techniques.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Biology (2012-2017), Universidad Nacional del Comahue, Argentina
    • Dissertation: Impact of an invasive carrion wasp on northwest Patagonia; entomological studies of insects relevant to public health.
  • Licentiate in Biological Sciences (2006-2012), Universidad Nacional del Comahue, Argentina

🏢 Professional Experience:

  • Assistant Researcher, CONICET (2021–Present): Conducts research on Calliphoridae species’ life cycles and uses genetic markers for forensic analysis.
  • Postdoctoral Fellow, CONICET (2017–2021): Studied spatial and temporal distribution of cadaveric fauna in Neuquén.
  • Doctoral Fellow, CONICET (2012–2017): Researched the ecological impact of invasive carrion wasps in Patagonia.
  • Forensic Expert in Criminal Cases (2015–Present): Assigned by the Ministerio Público Fiscal in Neuquén and Rio Negro, specializing in cases of homicide and femicide.
  • Field and Research Assistant (2009–2012): Various positions within INTA and CONICET, focusing on entomology and ecology.

Teaching Experience:

  • Teaching Assistant, Universidad Nacional de Rio Negro (2017–Present): Courses in forensic techniques and criminology.
  • Instructor, ISIV (2016): Course on scientific knowledge introduction in forensic science.

Research Interests:

Dr. Pereira’s research encompasses forensic entomology, specifically the life cycles and spatial distribution of forensic insects, and the use of genetic markers in age determination for forensic investigations. Her interests also include the ecological impact of invasive species on local insect populations and adapting forensic methodologies to regional contexts.

Author Metrics:

Dr. Pereira has published numerous studies in forensic entomology, contributing to advancements in forensic science. Her work has been presented at national and international scientific conferences, enhancing the integration of entomological research into legal investigations.

Top Noted Publication:

Forensic entomology in homicide cases: study of a corpse found inside a buried vehicle

  • Journal: Forensic Science, Medicine and Pathology
  • Publication Date: September 4, 2024
  • DOI: 10.1007/s12024-024-00889-2
  • Authors: Ana Julia Pereira, Gustavo A. Breglia, Marcelo H. Uzal
  • Summary: This study demonstrates the use of forensic entomology in a homicide case involving a body discovered within a buried vehicle. It highlights insect succession patterns that provide insights into estimating the postmortem interval.

Spatial dispersion of post-feeding larvae of forensically important flies: Implications for medicolegal investigation

  • Journal: Revista Española de Medicina Legal
  • Publication Date: September 2023
  • DOI: 10.1016/j.reml.2023.09.002
  • Authors: Julio César Lavezzo, Ana Julia Pereira, Marien Béguelin
  • Summary: This article explores the dispersal behavior of post-feeding larvae from forensically significant fly species. Findings are applicable in medicolegal investigations to improve the accuracy of postmortem interval estimations by understanding larval movement.

Effects of population variations and temperature on Chrysomya megacephala (Diptera: Calliphoridae) development: implications for estimating the postmortem interval

  • Journal: International Journal of Legal Medicine
  • Publication Date: June 5, 2023
  • DOI: 10.1007/s00414-023-03020-2
  • Authors: Ana Julia Pereira, Nestor Daniel Centeno, Carolina Nuñez – Vázquez
  • Summary: This research examines how population density and temperature affect the development of Chrysomya megacephala, a fly species significant in forensic entomology. The study provides new guidelines for adjusting postmortem interval estimates in light of these factors.

Long-term coexistence of two invasive vespid wasps in NW Patagonia (Argentina)

  • Journal: Oecologia
  • Publication Date: July 3, 2022
  • DOI: 10.1007/s00442-022-05210-y
  • Authors: Ana Julia Pereira
  • Summary: This study investigates the ecological interactions and coexistence of two invasive wasp species in Patagonia, focusing on their long-term impacts on native ecosystems and regional biodiversity.

Dispersal behavior of yellowjacket (Vespula germanica) queens

  • Journal: Insect Science
  • Publication Date: February 2018
  • DOI: 10.1111/1744-7917.12374
  • Authors: Ana Julia Pereira
  • Summary: This paper analyzes the dispersal behavior of Vespula germanica queens, providing insights into invasive species management. The study offers data relevant to controlling yellowjacket populations and mitigating their environmental impacts.

Conclusion:

Dr. Ana Julia Pereira stands out as a distinguished candidate for the Best Researcher Award. Her focused expertise in forensic entomology, her role in criminal investigations, and her publication record highlight her as a researcher of considerable impact. Addressing areas such as international collaboration, applied forensic case studies, and funding acquisition could elevate her contributions further. Her continued work promises to shape the forensic field, making her a strong contender for this award.