Chandra Sekhar Kolli | Computer Science | Best Researcher Award

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Dr. Chandra Sekhar Kolli | Computer Science | Best Researcher Award

Associate Professor at Shri Vishnu Engineering College for Women, India

Dr. Chandra Sekhar Kolli is an accomplished academic in Computer Science with extensive teaching experience across multiple prestigious institutions. With a passion for research and a commitment to advancing knowledge in the field, Dr. Kolli has made significant contributions to areas such as machine learning, data science, and cyber security.

Profile

Scopus Profile

Education 🎓

Dr. Kolli holds a Ph.D. in Computer Science from GITAM (Deemed to be University), Visakhapatnam, obtained in 2021. He completed his M.E. in Computer Science Engineering from HITS (Deemed to be University), Chennai, in 2011 with a CGPA of 7.99, and earned his MCA from Andhra University in 2008 with a score of 74%. He also completed his B.Sc. in Computer Science from Andhra University in 2005, achieving a 71% score.

Experience 🏫

Dr. Kolli has over 13 years of teaching experience, currently serving as an Associate Professor at Shri Vishnu Engineering College for Women, Bhimavaram since June 2023. Prior to this role, he held positions such as Senior Assistant Professor at Aditya College of Engineering and Technology, and Assistant Professor at Koneru Lakshmaiah Education Foundation and Madanapalle Institute of Technology & Science, where he contributed significantly to curriculum development and student training.

Research Interests 🔍

Dr. Kolli’s research focuses on deep learning, privacy-enhanced technologies, fraud detection, and machine learning applications in various domains. His work seeks to leverage advanced algorithms to solve real-world problems, particularly in data security and intelligent systems.

Awards 🏆

Dr. Kolli was honored with the Best Teacher Award for the academic year 2019-20 at KLEF (Deemed to be University), Vijayawada. Additionally, he is a WIPRO Certified Faculty, having qualified in the Wipro Talent Next Global Certification in October 2020, showcasing his dedication to professional development in education.

Publications 📚

Dr. Kolli has a substantial publication record, including 16 journal articles and 13 conference publications, all indexed in SCOPUS. Notable publications include:

  1. Deep learning-based credit card fraud detection in federated learning
    • Authors: Venkata Krishna Reddy, V., Vijaya Kumar Reddy, R., Siva Krishna Munaga, M., Maddila, S.K., Sekhar Kolli, C.
    • Journal: Expert Systems with Applications
    • Year: 2024
    • Citations: 0
  2. Classification of defective product for smart factory through deep learning method
    • Authors: Raffik, R., Misra, P.K., Kolli, C.S., Chandol, M.K., Shukla, S.K.
    • Journal: AIP Conference Proceedings
    • Year: 2024
    • Citations: 0
  3. A review on machine learning in agricultural sciences
    • Authors: Rayalu, G.M., Farouq, K.M., Kolli, C.S., Herrera, A.P., Muhammad, R.S.
    • Journal: AIP Conference Proceedings
    • Year: 2024
    • Citations: 0
  4. Privacy enhanced course recommendations through deep learning in Federated Learning environments
    • Authors: Kolli, C.S., Seelamanthula, S., Reddy V, V.K., Reddy, M.R.K., Gumpina, B.R.
    • Journal: International Journal of Information Technology (Singapore)
    • Year: 2024
    • Citations: 1
  5. Deep learning-based privacy-preserving recommendations in federated learning
    • Authors: Kolli, C.S., Krishna Reddy, V.V., Reddy, T.S., Dasari, D.B., Reddy, M.R.
    • Journal: International Journal of General Systems
    • Year: 2024
    • Citations: 2

His research has been widely cited, contributing to the academic community and enhancing knowledge in his areas of expertise.

Conclusion ✨

Dr. Chandra Sekhar Kolli continues to inspire students and colleagues alike with his commitment to teaching and research. With numerous accolades and a solid publication record, he stands out as a prominent figure in the field of Computer Science, making impactful contributions that pave the way for future advancements in technology.

Bo Yang | Computer Science | Best Researcher Award

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Prof Dr. Bo Yang | Computer Science | Best Researcher Award

Full Professor, Northwestern Polytechnical University, China

📡 Dr. Bo Yang is a Professor at the School of Computer Science, Northwestern Polytechnical University (NPU), China. He is an expert in AI-empowered wireless networks, mobile edge/cloud computing, and big data analysis, with significant experience in academia and industry. His work has contributed to advancements in next-generation wireless systems and computational intelligent surfaces.

Publication Profile

Scopus

Strengths for the Award

  1. Extensive Research in AI-Empowered Networks: Bo Yang’s research focuses on cutting-edge technologies like AI-empowered wireless networks, mobile edge/cloud computing, and intelligent surface designs. These are relevant and impactful fields in today’s technological landscape.
  2. International Experience and Collaborations: Bo Yang has worked across multiple prestigious institutions globally, including Singapore University of Technology and Design (SUTD), Prairie View A&M University (USA), and Northwestern Polytechnical University (China). This international exposure has likely enriched his research perspective.
  3. High-Impact Publications: Bo Yang has authored and co-authored numerous influential publications in high-impact journals, such as IEEE Transactions on Wireless Communications and IEEE Transactions on Industrial Informatics, showcasing his research output and influence in the academic community.
  4. Notable Research Funding: Bo Yang has been involved in significant research projects with substantial funding, such as the $6 million USD project for the U.S. Office of Defense, which demonstrates his ability to secure large grants and work on high-stakes, impactful research.
  5. Awards and Nominations: He has been nominated for prestigious awards like the Excellence in Scholarly Research Award at Prairie View A&M University, highlighting his recognition as a strong researcher.

Areas for Improvement

  1. Broader Industry Impact: While Bo Yang’s research contributions are impressive academically, there is limited evidence of direct industry partnerships or commercialization of his research. Engaging more with industry and applying his innovations in commercial products could further bolster his case for the award.
  2. Leadership in Research Initiatives: While Bo Yang has been part of multiple large-scale research projects, more evidence of him leading major projects or research teams would enhance his leadership profile and strengthen his award candidacy.
  3. Public Engagement and Knowledge Dissemination: Expanding his efforts in science communication, such as more public-facing talks or involvement in workshops and seminars, could improve his visibility and influence beyond the academic community.

Education

🎓 Dr. Yang earned his Ph.D. in Information and Communication Engineering from NPU (2010-2017), where his thesis focused on multi-channel medium access for next-generation WLAN. He also holds an M.Sc. in Communication and Information Systems (2007-2010) with a thesis on video coding and wireless transmission, and a B.Sc. in Communication Engineering (2003-2007), during which he interned at Datang Telecom.

Experience

💼 Dr. Yang is currently a Professor at NPU, Xi’an, China, where he leads cutting-edge research on AI-empowered wireless networks. Previously, he was a Research Fellow at the Singapore University of Technology and Design (SUTD) and a Postdoctoral Fellow at Prairie View A&M University (PVAMU), USA. His research projects have been funded by prestigious organizations, including A*STAR in Singapore and the U.S. Office of the Under Secretary of Defense.

Research Focus

🔬 Dr. Yang’s research focuses on AI-powered wireless networks, mobile edge/cloud computing, computational intelligent surfaces, and big data security. His innovative work addresses challenges in next-generation communication systems, with a particular emphasis on reconfigurable intelligent surfaces and federated spectrum learning for wireless edge networks.

Awards and Honors

🏆 Dr. Yang has been honored with several prestigious awards, including the NNSF for Excellent Young Scientists Fund Program (Overseas) in 2022 and a nomination for the Excellence in Scholarly Research Award at PVAMU in 2020. His groundbreaking research projects have been funded by leading organizations worldwide.

Publication Top Notes

📝 Dr. Yang has authored numerous influential papers in high-impact journals. His recent works include:

“DiffSG: A Generative Solver for Network Optimization with Diffusion Model” (2024) – arXiv:2408.06701

“Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks: Design Optimization and Analysis” (2024) – arXiv:2407.00933

“Filtering Reconfigurable Intelligent Computational Surface for RF Spectrum Purification” (2024) – arXiv:2406.18055

“AI-Empowered Multiple Access for 6G: A Survey of Spectrum Sensing, Protocol Designs, and Optimizations” (2024) – Proceedings of the IEEE, Cited by 39

“A Multi-View Interactive Approach for Multimodal Sarcasm Detection in Social Internet of Things” (2024) – Applied Sciences, Cited by 18

Conclusion

Bo Yang is a highly qualified candidate for the Best Researcher Award due to his significant contributions to AI-empowered networks, his prolific publication record, and involvement in international research collaborations. To enhance his candidacy further, he could focus on increasing industry engagement, leading more research initiatives, and enhancing public engagement with his work. His strengths in cutting-edge technology, global experience, and scholarly impact make him a strong contender for the award.

Changqing Xia | Computer Science | Best Researcher Award

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Prof. Changqing Xia | Computer Science | Best Researcher Award

Researcher, Shen Zi Institute, Chinese Academy of Sciences, China

Dr. Changqing Xia is a leading researcher in the fields of cyber–physical systems, artificial intelligence (AI), and network computation. He has focused his career on advancing the integration of computing, communication, and control in smart manufacturing systems. Dr. Xia’s expertise lies in developing AI-driven solutions that optimize resource allocation, network scheduling, and real-time data management in industrial environments. With numerous publications in prestigious journals, Dr. Xia is at the forefront of intelligent system design and advanced production technologies.

Profile

Orcid

Strengths for the Award

Dr. Changqing Xia demonstrates outstanding contributions to the fields of cyber–physical systems (CPS), artificial intelligence, and network scheduling, particularly with a focus on industrial applications. His recent works such as Deterministic Network–Computation–Manufacturing Interaction Mechanism for AI-Driven Cyber–Physical Production Systems and Co-Design of Control, Computation, and Network Scheduling Based on Reinforcement Learning illustrate his innovative approach to merging computation with physical manufacturing environments. His expertise in using AI, reinforcement learning, and computational intelligence to improve production systems and real-time scheduling significantly advances the field. Moreover, his research on 5G-based positioning and data scheduling under mixed-criticality scenarios provides solutions to current industrial challenges, making him a forward-looking researcher whose work is at the cutting edge of smart manufacturing and industrial automation. His ability to integrate multiple domains such as control, communication, and computing positions him as a highly versatile and impactful researcher.

Areas for Improvement

While Dr. Xia’s research portfolio is robust, focusing on a broader application of his methodologies across different industries, outside of cyber-physical production systems, could further expand the impact of his work. His publications heavily concentrate on industrial environments, but applying his AI-driven methods to fields like healthcare, smart cities, or autonomous systems could diversify his research impact. Additionally, greater collaboration with other interdisciplinary fields could bring fresh perspectives and opportunities for expanding his work into more novel, groundbreaking areas. Another area of improvement could be increasing public engagement or educational outreach, which would help communicate his research more broadly to a non-specialist audience.

Publications Top Notes:

  1. Deterministic Network–Computation–Manufacturing Interaction Mechanism for AI-Driven Cyber–Physical Production Systems
    IEEE Internet of Things Journal (2024-05-15)
    DOI: 10.1109/JIOT.2024.3367350
  2. Co-Design of Control, Computation, and Network Scheduling Based on Reinforcement Learning
    IEEE Internet of Things Journal (2024-02-01)
    DOI: 10.1109/JIOT.2023.3305708
  3. A Self-Triggered Approach for Co-Design of MPC and Computing Resource Allocation
    IEEE Internet of Things Journal (2024)
    DOI: 10.1109/JIOT.2024.3392563
  4. Computational-Intelligence-Based Scheduling with Edge Computing in Cyber–Physical Production Systems
    Entropy (2023-12)
    DOI: 10.3390/e25121640
  5. Control–Communication–Computing Co-Design in Cyber–Physical Production System
    IEEE Internet of Things Journal (2023-03-15)
    DOI: 10.1109/JIOT.2022.3221932
  6. Indoor Fingerprint Positioning Method Based on Real 5G Signals
    Conference Paper (2023-01-05)
    DOI: 10.1145/3583788.3583819
  7. Mixed-Criticality Industrial Data Scheduling on 5G NR
    IEEE Internet of Things Journal (2022-06-15)
    DOI: 10.1109/JIOT.2021.3121251
  8. Real-Time Scheduling of Massive Data in Time Sensitive Networks With a Limited Number of Schedule Entries
    IEEE Access (2020)
    DOI: 10.1109/ACCESS.2020.2964690

Conclusion

Dr. Changqing Xia is a strong candidate for the “Best Researcher Award” due to his significant contributions to the fields of AI, network computation, and industrial CPS. His research innovations in optimizing industrial systems through cutting-edge computational and network scheduling methods provide solutions to contemporary challenges in smart manufacturing and data-intensive environments. With minor refinements in expanding his interdisciplinary reach and public engagement, Dr. Xia’s already impactful work could lead to even broader recognition in both the academic and industrial spheres. His achievements reflect not only technical depth but also practical applicability, making him highly deserving of this prestigious award.

Chingfang Hsu | Computer Science | Women Researcher Award

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Dr. Chingfang Hsu | Computer Science | Women Researcher Award

 PROFESSOR, CENTRAL CHINA NORMAL UNIVERSITY, China

Dr. Chingfang Hsu is a distinguished Professor at Central China Normal University in China. With expertise in cybersecurity and authentication protocols, Dr. Hsu has contributed significantly to the field. One of his notable works is the development of the PRLAP-IoD, a PUF-based Robust and Lightweight Authentication Protocol for Internet of Drones. This innovative protocol enhances security measures for drone networks, ensuring robust protection against unauthorized access and cyber threats. Dr. Hsu’s research not only advances the realm of cybersecurity but also promotes safe and secure operations within the burgeoning domain of drone technology. 🌐🔒🛡️

Profile

Scopus

Education

From September 2010 to March 2013, I served as a Postdoctoral Research Fellow at the School of Management, Huazhong University of Science and Technology. Prior to that, I completed my Ph.D. in Computer Science from the School of Computer Science & Technology at the same university from September 2006 to June 2010. Building upon my academic journey, I obtained my Master of Science in Computer Science from the School of Computer Science & Technology, Huazhong University of Science and Technology, from September 2004 to June 2006. My educational journey commenced with a Bachelor of Science in Computer Science from the Physics School at Central China Normal University from September 1995 to June 1999. 🎓💻📚

EXperience

Since 2023, I’ve had the honor of serving as a Professor at the Computer School of Central China Normal University, contributing to the academic and research endeavors in the field. Prior to this, I broadened my horizons as a Visiting Scholar at the University of Missouri-Kansas, USA, from 2015 to 2016, immersing myself in a diverse academic environment. My journey at Central China Normal University began in 2013, where I held the position of Associate Professor at the Computer School until 2023, actively engaging in teaching and research activities. Additionally, from 1999 to 2004, I dedicated myself to shaping young minds as a Physical Teacher in a High School setting. 🎓💼🌐

Research Interests

She specializes in computer networks and information management, focusing on protocol design and its applications. Her current research interests encompass computer network architectures, algorithm and protocol design, and information management in cloud computing, big data, and group communications. Additionally, she is actively involved in research on coding techniques and formal analysis of network protocols. With a keen eye for innovation and a passion for advancing the field, she continuously explores new avenues to enhance network efficiency and security. 🖥️📡🔒

Awards

🏆 With a trailblazing career marked by numerous accolades, she has consistently excelled in academia and research. Notable achievements include the selection of her work “Key Information Security Issues and Research in Artificial Intelligence and Smart Learning” into the Hubei Provincial Laboratory Highlights Scientific and Technological Achievements Database in 2023. Her academic journey began with a full scholarship for five years at Huazhong University of Technology and Science, where she later earned recognition as an Excellent Graduate Student in 2005 and received the Excellent Paper Award in 2009. Her exemplary contributions extended to post-doctoral research, earning her the title of Excellent Post-doctorate in 2011. 🌟🎓

Publications Top Notes

“PRLAP-IoD: A PUF-based Robust and Lightweight Authentication Protocol for Internet of Drones” (2024) – 1 Citation 📜

“Ideal dynamic threshold Multi-secret data sharing in smart environments for sustainable cities” (2023) – 1 Citation 📚

“Three-Factor Anonymous Authentication and Key Agreement Based on Fuzzy Biological Extraction for Industrial Internet of Things” (2023) – 4 Citations 📘

“A Practical Lightweight Anonymous Authentication and Key Establishment Scheme for Resource-Asymmetric Smart Environments” (2023) – 2 Citations 📝

“Information-theoretic secure rational secret sharing in asynchronous networks for untrusted cloud environments” (2022) – 2 Citations 📊

Computer Science

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Introduction of Computer Science

Computer Science is a dynamic and expansive field that encompasses the study of algorithms, data structures, programming languages, software development, computer hardware, and the theoretical foundations of computation. It involves creating and innovating technologies that are integral to modern life, spanning from mobile applications to artificial intelligence.

Artificial Intelligence (AI) and Machine Learning

Focuses on creating intelligent systems capable of learning, reasoning, and making decisions, with applications in natural language processing, computer vision, robotics, and more.

Data Science and Big Data

Involves analyzing and deriving insights from large and complex datasets, utilizing statistical, mathematical, and computational approaches to support informed decision-making.

Software Engineering

Concentrates on the methodologies, processes, and practices for designing, developing, testing, and maintaining software systems, ensuring high-quality and reliable software products.

Cybersecurity

Addresses methods and technologies to protect computer systems, networks, and data from unauthorized access, cyber-attacks, and other security threats.

Computer Networks and Distributed Systems

Studies the design, implementation, and management of network protocols, communication technologies, and distributed computing systems that facilitate information sharing and resource utilization across various devices and locations.