Yunxia Chen | Data Science | Best Researcher Award | 13362

Prof. Yunxia Chen | Data Science | Best Researcher Award 

Prof. Yunxia Chen, School of Reliability and Systems Engineering, Beihang University, China

Prof. Yunxia Chen is a distinguished researcher and professor at the School of Reliability and Systems Engineering, Beihang University, China. Her pioneering work in system reliability has led to significant advancements in failure mechanism modeling, life prediction, and high-reliability design. With over 57 SCI publications, 43 patents, and leadership in multiple national projects, she has shaped both academic and industrial practices. Prof. Chen’s collaborations with top international researchers and her leadership roles in global conferences reflect her influence in the field. Her contributions have earned her two prestigious National Defense Science and Technology Progress Awards.

Profile

Scopus

🌱 Early Academic Pursuits

Prof. Yunxia Chen’s academic journey began with a deep-rooted interest in systems engineering and mechanical reliability—fields that demand both precision and vision. Her early education laid a strong foundation in engineering principles, which she further solidified through her pursuit of a doctoral degree. Earning her Ph.D. equipped her with advanced knowledge and skills to tackle the complexities of system reliability. These formative years were marked by curiosity, discipline, and a relentless pursuit of knowledge—traits that would define her future contributions to engineering science.

🏛️ Professional Endeavors

Prof. Chen currently serves as a Professor and Research Dean at the School of Reliability and Systems Engineering, Beihang University, one of China’s premier research institutions. Over the years, she has built a robust portfolio of leadership roles in research and academia. Her professional scope extends beyond traditional academic duties to include shaping national and international engineering standards, managing high-impact research projects, mentoring emerging scholars, and fostering interdisciplinary collaborations.

Her commitment to innovation and academic excellence is evidenced by her role in the development of two national industry standards, showcasing her impact on policy as well as practice. Moreover, her ability to balance administrative, teaching, and research responsibilities highlights her dynamic and multifaceted academic persona.

🔬 Contributions and Research Focus

Prof. Chen has made groundbreaking contributions in the domain of complex system reliability, particularly in understanding failure mechanism evolution, failure behavior propagation, and data-physics-driven prognostics. Her research interests span:

  • Reliability modeling and simulation of complex systems

  • High-reliability and long-lifetime design techniques

  • Experimental methodologies for small-sample evaluation

  • Fault-physics based verification systems

  • Advanced prognostics and health management systems (PHM)

Notably, she has authored over 57 SCI-indexed journal papers, published a monograph, and holds 43 authorized invention patents. Her research has had over 1200 citations, including 31 publications in top-tier journals and one highly cited paper, demonstrating her work’s relevance and influence.

Prof. Chen’s research portfolio includes 12 major projects, 35 consultancy assignments, and numerous editorial responsibilities. Her active involvement as an Area Editor, Program Committee Member, and Organizing Chair for prestigious international conferences further underscores her commitment to the global scientific community.

🏆 Accolades and Recognition

Prof. Chen’s scholarly achievements have been recognized with two First Prizes in the National Defense Science and Technology Progress Awards—one of the highest honors in China’s scientific community. These awards celebrate her pioneering work in system reliability research and her impactful role in advancing national defense technologies.

In addition, she holds several editorial and leadership positions in major technical journals and societies, including:

  • Executive Committee Member, Reliability Engineering Branch (CSME)

  • Vice Chairman, Reliability Branch of the China Electronics Society

Her leadership and expertise are widely acknowledged within both academic and industrial circles, further validating her status as a thought leader in her field.

🌍 Impact and Influence

Prof. Chen’s influence extends beyond borders. She has engaged in high-impact collaborations with renowned scholars such as Professor Frank Lam, Professor Terje Haukaas, and Professor Gadala Mohamed S. at the University of British Columbia, Canada. These collaborations explore reliability system modeling based on fault physics, facilitating knowledge exchange and co-development of innovative solutions.

Her work has shaped engineering practices, industry standards, and higher education curricula, setting benchmarks for excellence in system reliability engineering. As a mentor, she has inspired and guided numerous young researchers who are now making their own contributions to the field.

🌟 Legacy and Future Contributions

As she continues to lead cutting-edge research and influence future generations, Prof. Chen’s legacy lies in her integrative approach to engineering challenges—combining theory, practice, data, and innovation. She envisions a future where smart, self-healing systems proactively adapt to environmental and operational stresses, thus minimizing failure and maximizing safety and efficiency.

In the coming years, her focus will include:

  • Enhancing AI-integrated reliability prediction systems

  • Developing intelligent, adaptive maintenance strategies

  • Expanding international research networks for collaborative problem-solving

Publication Top Notes

Author: S., Zheng, Shuwen, J., Liu, Jie, Y., Chen, Yunxia, Y., FAN, Yu, D., Xu, Dan
Journal: Computers and Industrial Engineering, 
Year: 2025
Author: G., Wang, Guisong, C., Wang, Cong, Y., Chen, Yunxia, J., Liu, Jie

Journal: Energy Storage,

Year: 2025

Author: C., Wang, Cong, Y., Chen, Yunxia

Journal: Applied Energy,

Year: 2024

 

 

Ravikumar Ch | Computer Architecture | Best Researcher Award

Dr. Ravikumar Ch | Computer Architecture | Best Researcher Award

Assistant Professor at CHAITANYA BHARATHI INSTITUTE OF TECHNOLOGY, India.

Dr. Ravikumar Ch holds a Ph.D. from Lovely Professional University, Punjab, and is currently serving as an Assistant Professor in the Department of AI&DS at CBIT, Hyderabad, an autonomous institution accredited by NBA and UGC. With over 13 years of experience in academia, he has previously held roles at CVR College of Engineering and Avanthi Scientific Research Academy. His expertise spans areas such as Cloud Computing, IoT, Machine Learning, and Blockchain, with several papers published in reputed conferences and journals. Dr. Ravikumar is dedicated to enhancing student learning and research outcomes, evident through his active participation in faculty development programs and workshops focused on emerging technologies.

Professional Profiles:

Education 🎓

Dr. Ravikumar Ch has pursued a distinguished educational journey, culminating in a Ph.D. in Artificial Intelligence and Data Science from Lovely Professional University, Punjab, India, which he successfully completed in June 2024. Prior to his doctoral studies, he earned his M.Tech in Computer Science and Engineering from Jawaharlal Nehru Technological University (JNTU), Hyderabad, and his B.Tech in the same discipline from the same institution. His educational foundation includes intermediate studies at APSWR Junior College, Bhonagir, and secondary education at AVM High School, Suryapet, both located in Telangana, India. Dr. Ravikumar’s academic trajectory reflects a commitment to advancing his expertise in computer science and preparing for a career focused on teaching and research in AI and data science.

Professional Experience

Dr. Ravikumar Ch brings over 13 years of rich professional experience in academia, specializing in Artificial Intelligence and Data Science. Currently serving as an Assistant Professor in the Department of AI & DS at Chaitanya Bharathi Institute of Technology (CBIT), Hyderabad, an institution recognized for its autonomy under UGC and accredited by NBA, he also holds the prestigious role of a NIRF Central Committee Member. His tenure at CBIT began in September 2023 and continues to date, where he actively contributes to academic and research endeavors. Previously, Dr. Ravikumar held roles as an Assistant Professor in AI & ML at CVR College of Engineering and as HOD at Avanthi Scientific Research Academy in Abdullapurmet. His teaching career commenced at Holy Mary Institute of Technology and later at Scient Institute of Technology, Ibrahimpatnam. This extensive experience underscores his expertise in subjects such as Operating Systems, Digital Logic & Computer Architecture, Cloud Computing, IoT, and various programming languages, contributing significantly to student development and academic excellence.

Subject Area

Dr. Ravikumar Ch has accumulated over 13 years of experience in academia, specializing in Computer Science and Engineering disciplines. Currently serving as an Assistant Professor in Artificial Intelligence and Data Science at CBIT (UGC Autonomous) in Hyderabad since September 2023, he also holds the role of a NIRF Central Committee Member. Previously, he worked as an Assistant Professor in AI and Machine Learning at CVR College of Engineering and as Assistant Professor and HOD at Avanthi Scientific Research Academy. His teaching portfolio spans a wide array of subjects including Operating Systems, Digital Logic & Computer Architecture, Cloud Computing, IoT, and more. Dr. Ravikumar Ch has actively contributed to conferences and journals with publications focusing on emerging technologies like machine learning, blockchain, and cloud computing, underscoring his commitment to advancing technological education and research.

Publications

  1. A novel design to minimize the energy consumption and node traversing in blockchain over cloud using ensemble cuckoo model
    • Authors: A. Ravikumar Ch, Isha Batra
    • Journal: International Journal on Recent and Innovation Trends in Computing and …
    • Year: 2022
    • Citations: 2
  2. Blockchain Based Secure with Improvised Bloom Filter over a Decentralized Access Control Network on a Cloud Platform
    • Authors: R. Ch, I. Batra, A. Malik
    • Journal: Journal of Engineering Science and Technology Review
    • Year: 2023
    • Citations: 1
  3. A Comparative Analysis on Blockchain Technology Considering Security Breaches
    • Authors: CH Ravikumar, I. Batra, A. Malik
    • Proceedings: Trends in Electronics and Health Informatics: TEHI 2021
    • Year: 2022
    • Citations: 1
  4. Enhancing digital security using Signa-Deep for online signature verification and identity authentication
    • Authors: MR Ravikumar Ch, Mulagundla Sridevi
    • Journal: International Journal of Systematic Innovation
    • Year: 2024
  5. A comparative analysis for deep learning-based approaches for image forgery detection
    • Authors: PM Ravikumar Ch, Marepalli Radha, Maragoni Mahendar
    • Journal: International Journal of Systematic Innovation
    • Year: 2024
  6. A Comparative Study of Machine Learning Models for Early Detection of Skin Cancer Using Convolutional Neural Networks
    • Authors: KR Ch Ravikumar, Marepalli Radha, Medikonda Asha Kiran
    • Journal: Indian Journal of Science and Technology
    • Year: 2023
  7. Improving Phishing Website Detection with Machine Learning: Revealing Hidden Patterns for Better Accuracy
    • Authors: RKC Garlapati Narayana, Uma Devi Manchala, Usikela Naresh, Saggurthi Kiran …
    • Journal: International Journal on Recent and Innovation Trends in Computing and …
    • Year: 2023
  8. Crop Recommendation System Using Improved Apriori Algorithm
    • Authors: RC Satyanarayana Nimmala, K Venkatesh Sharma
    • Journal: International Journal on Recent and Innovation Trends in Computing and …
    • Year: 2023
  9. An Overview of Remote Patient Monitoring For Improved Patient Care and Cost Reduction: The IoT Revolutionizing Health Care
    • Authors: PDK Ravikumar Ch, P Sudheer
    • Journal: International Journal of Education and Management Engineering (IJEME)
    • Year: 2023
  10. PLAN & IMPLEMENTING LOAD ADJUSTING STRATEGIES IN CLOUD PROCESSING USING USER PRIORITY BASED SCHEDULING
    • Author: R. Ch
    • Journal: International Journal of Research Publication And Reviews
    • Year: 2022

 

DEROSA LISA | Immunology and Microbiology | Best Researcher Award

Assist Prof Dr. DEROSA LISA | Immunology and Microbiology | Best Researcher Award

MD, PhD at Gustave Roussy, France.

Associate Professor Dr. Lisa Derosa is a leading medical oncologist and researcher at Gustave Roussy Cancer Center (GRCC) in France, specializing in tumor immunology and cancer immunotherapy. With an MD from Pisa University and a PhD in Immunology from Paris-Sud University, she has significantly contributed to understanding the immunosuppressive role of antibiotics and the impact of gut microbiota on antitumor immunity. Since 2016, Dr. Derosa has pioneered research in these areas, earning numerous prestigious awards including the Conquer Cancer Foundation ASCO Merit Award and recognitions from ESMO and European Urology. She directs the ClinicoBiome Program at GRCC and co-directs the RHU Clinical Program Grant “Immunolife” and the EU Program Grant “Oncobiome.” Her research skills include clinical trial design, metagenomic analysis, immunological assays, and pharmacodynamic studies, making her a leader in microbiota-centered cancer therapies. Dr. Derosa’s collaborative approach and interdisciplinary projects have resulted in over 100 publications and significant advancements in cancer immunotherapy.

Professional Profiles:

Education

Associate Professor Dr. Lisa Derosa’s educational journey is marked by a series of prestigious degrees and certifications. In 2023, she became an Associate Professor of Immunology at Paris-Saclay University in France. Prior to that, in 2019, she earned her PhD in Immunology from Paris-Sud University and registered as a physician in France the same year. She also obtained a University Diploma in Animal Experimentation Level 1 from Sorbonne University, Paris, in 2018. Her earlier academic achievements include a Diplôme Universitaire Européen de Recherche Translationnelle Et Clinique en Cancérologie (DUERTECC) from Paris-Sud University and a Diplôme d’Université Carcinologie Clíniques (DUC) from Université Paris XI, both in 2016. Dr. Derosa completed her M2 in Pharmacology, Clinical Trial in Oncology at Pisa University in Italy in 2015 and became Board Certified in Medical Oncology from the same university in 2014. She first qualified as a physician in Italy in 2009, following her MD from the School of Medicine at Pisa University in 2008.

Professional Experience

Associate Professor Dr. Lisa Derosa has a distinguished career in medical oncology and cancer immunology. Since 2022, she has been serving as the Co-Coordinator of the RHU IMMUNOLIFE (PIA2) multi-team program project in France and as a member of the Scientific Advisory Board for everImmune. In the same year, she was appointed as an Associate Professor of Immunology at Paris-Saclay University and a Senior Research Associate in the Cancer Immunology Department at Gustave Roussy Cancer Center (GRCC). Dr. Derosa has also been the Clinical Director of the ClinicoBiome Program at GRCC since 2020 and has held the position of Medical Oncology Specialist at GRCC since 2020. From 2017 to 2021, she co-coordinated the PIA2 RHU TORINO LUMIERE project. She has also been a Co-Coordinator of the H2020 ONCOBIOME project since 2019. Prior to these roles, Dr. Derosa served as a clinical attending in the Genitourinary and Lung Department at GRCC from 2019 to 2020 and completed a clinical fellowship in the Genitourinary Medical Oncology Department at GRCC from 2016 to 2019. Before joining GRCC, she was a clinical attending in the Oncology Department at Hospital S. Chiara-Pisa from 2014 to 2016. Additionally, she gained valuable experience as a visiting student at GRCC in 2013 and at the Oncology Department at Ospedali Riuniti di Livorno from 2006 to 2008.

Award and Honors

Associate Professor Dr. Lisa Derosa has received numerous prestigious awards and honors throughout her career, reflecting her significant contributions to oncology and immunology. In 2023, she was honored with the Conquer Cancer Foundation ASCO Merit Award. The previous year, she received an accolade from the European Society for Medical Oncology (ESMO) at their Asia Annual Meeting. In 2021, she was awarded the Best Scientific Paper published on Fundamental Research by European Urology and also received the ASCO Merit Award in Lung Cancer, supported by Frances A. Shepherd. Her exceptional work earned her the EATI Award in 2020. The year 2018 was particularly notable, as she received the Best Paper Award from ESMO YOC, the ESMO Annual Meeting Award, the Early Detection of Cancer Conference Award from ARC, and the Conquer Cancer Foundation ASCO Merit Award. In 2017, she was recognized with multiple Conquer Cancer Foundation ASCO Merit Awards, including the Genitourinary Cancer Merit Award. In 2016, she was the recipient of the 5th Pieter de Mulder Memorial Prize and the ESMO Translational Research Fellowship Award. Her early career was distinguished by the AIOM Award for young researchers in Oncology in 2015, the ESMO Annual Meeting Award in 2014, and the ITT Stage in Oncology Award from the Istituto Toscano Tumori in 2013.

Research Interest

Associate Professor Dr. Lisa Derosa’s research interests lie at the intersection of tumor immunology and cancer immunotherapy, with a particular focus on the immunosuppressive role of antibiotics in cancer treatment and the impact of gut microbiota on antitumor immunity. Since 2016, she has been pioneering research in these areas, exploring how the composition of gut microbiota can regulate the effectiveness of immune checkpoint inhibitors. Her innovative work has led to significant insights into the microbiota’s role in cancer treatment, making her a leading figure in the development of microbiota-centered interventions. Dr. Derosa currently directs the Microbiota-Centered Intervention Program (ClinicoBiome) at Gustave Roussy Cancer Center and co-directs the RHU Clinical Program Grant “Immunolife” as well as the EU Program Grant “Oncobiome.” Her research continues to bridge clinical oncology with translational research, aiming to improve patient outcomes through a deeper understanding of the immune system’s interactions with cancer therapies.

Research Skills

Associate Professor Dr. Lisa Derosa possesses a comprehensive skill set in the field of cancer immunology and immunotherapy, characterized by her expertise in clinical and translational research. She has extensive experience in designing and conducting clinical trials, particularly those investigating the interactions between gut microbiota and immune checkpoint inhibitors. Dr. Derosa is skilled in metagenomic analysis, allowing her to identify microbiome-based biomarkers that predict patient response to immunotherapy. Her proficiency in immunological assays and molecular biology techniques has been instrumental in her research on the immunosuppressive effects of antibiotics and the regulatory role of gut microbiota in antitumor immunity. Additionally, she has a strong background in pharmacodynamic and pharmacokinetic studies, which she has applied in various phase II clinical trials. Dr. Derosa’s ability to integrate clinical data with cutting-edge laboratory research has made her a leader in the development of microbiota-centered cancer therapies. Her collaborative projects often involve multidisciplinary teams, highlighting her skills in project management and scientific communication.

 

Venkata Praveen Kumar Kaluvakuri | Computer Science | Best Researcher Award

Mr. Venkata Praveen Kumar Kaluvakuri | Computer Science | Best Researcher Award

Senior Software Engineer at Technology Partners Inc, United States.

Venkata Praveen Kumar Kaluvakuri is an accomplished Oracle Certified Java/J2EE Software Developer with over 13 years of experience in crafting customized solutions for web-based applications. Throughout his career, he has been actively involved in all phases of the Software Development Life Cycle (SDLC), from requirement analysis and design to implementation, testing, and support. Venkata possesses strong proficiency in Java programming, with expertise in functional programming, lambda expressions, and design patterns. He has demonstrated his skills in developing UI applications using NodeJs and Angular, and has extensive experience in building and managing cloud infrastructure on AWS, employing services like EC2, S3, and Lambda.

Professional Profiles:

Education

Venkata Praveen Kumar Kaluvakuri holds a Master of Science in Computer Science from the University of Central Missouri and a Bachelor of Technology from Jawaharlal Nehru Technological University Kakinada, India. He is also an Oracle Certified Java Programmer, adding a significant credential to his extensive academic background.

Professional Experience

Venkata Praveen Kumar Kaluvakuri, a seasoned software engineer with over 13 years of experience, specializes in Java, cloud environments, and AI/ML integration. At Enterprise Fleet Management, he developed high-performance UI pages, migrated applications to AWS, and implemented microservices. At MasterCard, he contributed to developing RESTful services and automation testing. His work at Wells Fargo involved enhancing UIs and developing web services, while his tenure at Vienna Infosys focused on J2EE design patterns and web services. With expertise across multiple frameworks and technologies, Praveen excels in delivering robust, scalable software solutions.

Research Interest

Venkata Praveen Kumar Kaluvakuri’s research interests lie in the intersection of software development and emerging technologies. He is particularly focused on the integration of AI/ML techniques in cloud environments to solve complex cybersecurity problems. Additionally, he is interested in optimizing performance in web-based applications, leveraging functional programming, and exploring the potential of serverless architectures in AWS. Praveen is also keen on advancing the use of microservices and developing innovative solutions for enterprise-level challenges, constantly seeking to enhance the efficiency and security of software systems.

Award and Honors

Venkata Praveen Kumar Kaluvakuri has earned several awards and honors throughout his career, highlighting his dedication and excellence in the field of software development. He is an Oracle Certified Java Programmer, a testament to his expertise in Java programming. His outstanding performance and contributions to project success have earned him the Employee of the Month award multiple times at Enterprise Fleet Management. At MasterCard, he was honored with the Outstanding Project Award for leading and completing a critical project on time and within budget. Additionally, he received the Innovation Excellence Award at Wells Fargo for developing innovative solutions and improving the efficiency of web-based applications. His exceptional teamwork and collaboration on high-impact projects at Computer Sciences Corporation, India, earned him the Team Excellence Award.

Research Skills

Venkata Praveen Kumar Kaluvakuri has developed a robust set of research skills over his career in software development and IT solutions. With a keen focus on problem-solving and analysis, he excels in dissecting complex issues and devising innovative solutions. His expertise extends to experimental design, where he applies rigorous methodologies to evaluate software performance, scalability, and reliability. Venkata is adept at data analysis, employing advanced tools to extract valuable insights from large datasets, crucial for optimizing software functionalities and user experiences. Additionally, he maintains a strong grasp of current research trends through meticulous literature reviews, ensuring he remains at the forefront of software development methodologies, frameworks, and technologies. With strong technical writing abilities, Venkata effectively communicates his findings, prepares detailed technical reports, and contributes to scholarly publications. His collaborative spirit and adeptness in cross-functional teamwork further underscore his ability to drive innovation and project success in diverse professional environments.

Publications

  1. SECURING THE SERVERLESS FRONTIER: A JAVA FULL STACK PERSPECTIVE ON AI/ML INTEGRATION IN THE CLOUD
    • Authors: VP Peta, SKR Khambam, VPK Kaluvakuri
    • Year: 2023
    • Journal: International Journal For Advanced Research In Science & Technology
    • Volume: 13
    • Issue: 07
    • Citations: Not specified
  2. AI-DRIVEN ROOT CAUSE ANALYSIS FOR JAVA MEMORY LEAKS
    • Authors: VPK Kaluvakuri, VP Peta, SKR Khambam
    • Year: 2022
    • Journal: International Journal For Innovative Engineering and Management Research
    • Volume: 12
    • Issue: Not specified
    • Citations: Not specified
  3. The Cloud as A Financial Forecast: Leveraging AI For Predictive Analytics
    • Authors: SKR Khambam, VPK Kaluvakuri, VP Peta
    • Year: 2022
    • Journal: International Journal For Recent Developments In Science & Technology
    • Volume: 6
    • Issue: 08
    • Citations: Not specified
  4. Serverless Java: A Performance Analysis for Full-Stack AI-Enabled Cloud Applications
    • Authors: VPK Kaluvakuri, VP Peta, SKR Khambam
    • Year: 2021
    • Journal: International Journal For Recent Developments in Science & Technology
    • Volume: 5
    • Issue: 05
    • Citations: Not specified