S Krishnaveni | AI | Women Researcher Award

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Dr. S. Krishnaveni –  AI  – Women Researcher Award

Alignment with Award Category

Dr. Krishnaveni’s exceptional research output, innovative projects, and consistent contributions to critical technological fields align perfectly with the criteria for the Women Researcher Award. Her interdisciplinary approach and commitment to addressing global challenges through technology make her a standout candidate.

 

SRMIST: SRM Institute of Science and Technology (Deemed to be University) | India

Scopus

Orcid

Scholar

🎓Early Academic Pursuits 

Education and Training

DR. S. KRISHNAVENI, B.E, M.Tech, Ph.D., PDF U.K, embarked on her academic journey with a Bachelor of Engineering in Computer Science from Bharathidasan University in 2003, graduating with distinction. Her passion for technology and computing led her to pursue a Master of Technology in Information Technology from SRM Institute of Science and Technology in 2006, again achieving distinction. Demonstrating a steadfast commitment to academic excellence, she earned her Ph.D. in Computer Science Engineering from SRM Institute of Science and Technology in 2019. Her academic endeavors culminated in a prestigious Post-Doctoral Fellowship in Computer Science Engineering at City, University of London, U.K., in 2023, reflecting her relentless pursuit of knowledge and expertise in her field.

💼Professional Endeavors 

Academic Positions

DR. KRISHNAVENI’s professional journey is marked by progressive roles in academia. She began as a Lecturer at GKM College of Engineering & Technology in 2003, followed by positions at Bharath University and Panimalar Engineering College. In 2010, she joined SRM Institute of Science and Technology as an Assistant Professor, where she served until 2022. Her dedication and contributions were recognized with her promotion to Associate Professor in January 2022. At SRM, she has been an integral part of the Faculty of Engineering & Technology, School of Computing, Department of Computational Intelligence, located in Kattankulathur, Tamil Nadu, India.

📚Contributions and Research Focus on Digital Transformation

DR. KRISHNAVENI’s professional journey is marked by progressive roles in academia. She began as a Lecturer at GKM College of Engineering & Technology in 2003, followed by positions at Bharath University and Panimalar Engineering College. In 2010, she joined SRM Institute of Science and Technology as an Assistant Professor, where she served until 2022. Her dedication and contributions were recognized with her promotion to Associate Professor in January 2022. At SRM, she has been an integral part of the Faculty of Engineering & Technology, School of Computing, Department of Computational Intelligence, located in Kattankulathur, Tamil Nadu, India.

 

🏆Accolades and Recognition 

Throughout her illustrious career, DR. KRISHNAVENI has received numerous awards and recognitions. These include the “Veteran Innovator in Academic Collaboration Award” by the AIMER Society in 2024, the “Women Power India Award” for Women Researcher of the Year by Raj Square Charity Foundation in 2023, and multiple Best Paper Awards at international conferences. She was also honored with the Microsoft Azure Educator Grant Award in 2014 and recognized as the best reviewer for the international journal “Concurrency Computation: Practice and Application” in 2022. Her extensive publication record includes 15 SCI publications, 5 in Q1 journals, and 41 papers indexed in Scopus, reflecting her significant contributions to scientific literature.

🌍 Impact and Influence 

Community Impact

DR. KRISHNAVENI’s influence extends beyond her research contributions. She has over 20 years of teaching experience and 12 years of research experience, mentoring numerous students and young researchers. Her leadership roles include serving as an Academic Advisor, Alumni Coordinator, and Funded Project Coordinator at SRM Institute of Science and Technology. She has organized various workshops and faculty development programs, fostering a culture of continuous learning and professional development among her peers and students.

🔮Legacy and Future Contributions 

DR. KRISHNAVENI’s legacy is defined by her unwavering commitment to advancing the fields of cybersecurity, artificial intelligence, and healthcare technology. Her current research projects aim to leverage AI and machine learning for improving diagnostic tools and healthcare delivery. As an Associate Professor and a seasoned researcher, she continues to inspire and guide the next generation of engineers and scientists. Her ongoing efforts in curriculum development, academic writing, and strategic planning ensure that her contributions will have a lasting impact on the academic and scientific communities.

Conclusion

In conclusion, DR. S. KRISHNAVENI, B.E, M.Tech, Ph.D., PDF U.K, exemplifies academic excellence, innovative research, and dedicated mentorship. Her extensive contributions to cybersecurity, artificial intelligence, and healthcare technology, coupled with her numerous accolades and leadership roles, highlight her as a prominent figure in her field. Her work at SRM Institute of Science and Technology continues to shape the future of computing and engineering, leaving an indelible mark on both her students and the broader scientific community.

📚Publications

  • TwinSec-IDS: An Enhanced Intrusion Detection System in SDN-Digital-Twin-Based Industrial Cyber-Physical Systems

    Authors:  Krishnaveni, S., Sivamohan, S., Jothi, B., Chen, T.M., Sathiyanarayanan, M.

    Journals:  Concurrency and Computation: Practice and Experience

  • NeuroFlex: An IoT-Integrated Glove for Personalized Post-Stroke Rehabilitation with an Explainable Machine Learning-Based Monitoring System

    Authors:  Krishnaveni, S., Sivanandam, S., Nagarani, S., Chen, T.M., Sathiyanarayanan, M.

    Journals:  Lecture Notes in Networks and Systems

  • Optimized Tiny Machine Learning and Explainable AI for Trustable and Energy-Efficient Fog-Enabled Healthcare Decision Support System

    Authors:  Arthi, R., Krishnaveni, S.

    Journals:  International Journal of Computational Intelligence Systems

  • Diabetic retinopathy detection and severity classification using optimized deep learning with explainable AI technique

    Authors:  Lalithadevi, B., Krishnaveni, S.

    Journals:  Multimedia Tools and Applications

  • CyberDefender: an integrated intelligent defense framework for digital-twin-based industrial cyber-physical systems

    Authors:  Krishnaveni, S., Chen, T.M., Sathiyanarayanan, M., Amutha, B.

    Journals:  Cluster Computing

Sathishkumar V E | AI | Best Researcher Award

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Dr. Sathishkumar V E –  AI –  Best Researcher Award

Research Impact

Dr. Sathishkumar Veerappampalayam Easwaramoorthy research has tangible societal and technological impacts: Healthcare Improvements: His work in healthcare AI aligns with global priorities like enhancing medical diagnostics and managing pandemics. Smart Systems: Contributions to smart farming and smart grids demonstrate a commitment to improving sustainability and efficiency in critical industries. Data Science Education: By emphasizing practical knowledge transfer, he is shaping the next generation of data science professionals.

Sunway University | Malaysia

      Profile

Orcid

Scopus

Scholar

📍Current Position and Responsibilities

Dr. Sathishkumar V E is a distinguished Lecturer in the Department of Computing and Information Systems at Sunway University, Malaysia. He currently contributes to cutting-edge research projects such as Healthcare AI, Pandemic Preparedness and Management (AI4PEP), and Groundwater Level Monitoring. His work emphasizes advanced methodologies in data science, machine learning, and artificial intelligence, bringing a practical and impactful perspective to his teaching and research.

 

📝Publication Achievements and Research Focus

Dr. Sathishkumar is an accomplished researcher, having published extensively in reputed journals. His recent works include groundbreaking studies in healthcare intelligence, environmental microorganism classification, and smart systems using AI. Notable publications include papers in IEEE Access, PLOS One, and Scientific Reports, which highlight his expertise in multimodal affective computing, secure healthcare systems, and deep learning methodologies. His prolific publication record positions him among Stanford’s Top 2 Percent Scientists in the Elsevier Scopus Database.

 

🔍Ongoing Research and Interests

Dr. Sathishkumar’s ongoing research includes the development of predictive models for Healthcare AI applications. These models aim to enhance patient diagnostics and treatment planning. He is also involved in blockchain-secured pandemic management systems and smart farming initiatives. These projects leverage data mining and real-time analytics to provide innovative solutions for global challenges.

Dr. Sathishkumar’s diverse research interests encompass: Smart Farming: Leveraging real-time data for forecasting and visualization. Cryptography and Biometric Technologies: Enhancing secure authentication systems. Machine Learning and Big Data Analytics: Developing predictive models for complex systems. Healthcare Applications: Using AI for diagnostics, anomaly detection, and resource optimization.

 

🎓Academic Background

Dr. Sathishkumar’s academic journey reflects his commitment to excellence: Ph.D. in Computer and Communication Engineering from Sunchon National University, South Korea (CGPA 4.3/4.5), where he enhanced regression accuracy through hybrid feature selection methods. Master’s in Biometrics and Cyber Security from PSG College of Technology, India (CGPA 8.73/10). Bachelor’s in Information Technology from Anna University, India.

 

🏆Scholarships and Awards

Dr. Sathishkumar’s excellence has been recognized through numerous prestigious awards: Global Korean Scholarship (GKS), NIIED, South Korea. Best Paper Award at KIPS Conference, Jeju National University. Gold Medal in Mathematics from Tamil Nadu State Government Examination. Recognition among Stanford’s Top 2 Percent Scientists in 2023.

 

🌐Professional Associations  and Training 

Dr. Sathishkumar is actively engaged with various professional bodies and editorial roles: Editor-in-Chief of Information Research Communications. Academic Editor for journals like PLOS ONE and BMC Research Notes. Associate Editor for the Journal of Computer Science.

Dr. Sathishkumar has participated in numerous workshops on data science, AI, and big data analytics. He emphasizes hands-on training in Keras, TensorFlow, and other state-of-the-art tools, ensuring his students and peers remain at the forefront of technological advancements.

 

🎤Oral Presentations and Workshops

Dr. Sathishkumar has delivered several oral presentations at international conferences, showcasing his expertise in: Predictive modeling using healthcare datasets. Blockchain technologies for pandemic management. AI applications in smart farming.

 

🧑‍🔬Tasks Completed as a Researcher 

Dr. Sathishkumar has accomplished a range of impactful projects: Pandemic Control Using Blockchain: Securing healthcare data and enhancing preparedness. Smart Farming Applications: Creating tools for data visualization and forecasting. AI Convergence Projects: Developing decentralized systems for real-time analytics.

 

🚀Success Factors 

Dr. Sathishkumar attributes his success to: A deep understanding of AI and machine learning techniques. Exceptional problem-solving skills and data-driven decision-making. His commitment to mentoring students and fostering innovation.

 

🧪Publications & Laboratory Experience

Dr. Sathishkumar’s hands-on experience in labs spans the use of tools like PyTorch, Scikit-learn, and Matplotlib. His published work includes: Advanced deep learning frameworks for skin cancer classification. AI-driven systems for wireless network optimization. Novel methods for smart grid management.

 

💻Expertise in Bioinformatics

His contributions to bioinformatics include the integration of AI and big data analytics for healthcare systems. His work on secure cloud-based healthcare applications has improved anomaly detection and enhanced the security of patient data, showcasing his multidisciplinary expertise.

 

🔍 Conclusion

Dr. Sathishkumar V E is a visionary researcher and educator whose work bridges the gap between academic theory and real-world applications. With his dedication to AI-driven innovation, he continues to make significant contributions to the fields of healthcare, smart systems, and data science. His expertise, combined with his passion for teaching, positions him as a leading figure in his domain.

 

📚Publications

Integrating cat boost algorithm with triangulating feature importance to predict survival outcome in recurrent cervical cancer

 Author: Geeitha, S., Ravishankar, K., Cho, J., Easwaramoorthy, S.V.

 Journal: Scientific Reports

Gauss Markov and Flow Balanced Vector Radial Learning network traffic classification on IoT with SDN

Author: Kulandaivel, R., Ramachandran, M., Veerappampalayam Easwaramoorthy, S., Cho, J.

Effect of Al7075 and activated carbon reinforced composite on optimizing WEDM responses

Author: Ramanan, G., Neela Rajan, R.R., Suresh, S., Cho, J., Sathishkumar, V.E.

Hybrid approach of deep feature extraction using BERT– OPCNN & FIAC with customized Bi-LSTM for rumor text classification

Author: K, N., M, K., Easwaramoorthy, S.V., … Yoo, S., Cho, J.
Journal: Alexandria Engineering Journal

Season wise bike sharing demand analysis using random forest algorithm

Author: Sathishkumar, V.E., Cho, Y.
Journal: Computational Intelligence.

weiwei cai | artificial intelligence (AI) | Best Researcher Award

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Mrs. weiwei cai – artificial intelligence (AI) – Best Researcher Award

fudan university| China

Author Profile 

Early Academic Pursuits 🎓

Education and Training

She, born and raised in Longsha District, Qiqihar City, Heilongjiang Province, has always demonstrated an exceptional aptitude for academic excellence. From an early age, Cai showed a keen interest in technology and innovation, a passion that only grew stronger with time. After completing high school at Qiqihar Middle School, Cai pursued a Bachelor’s degree in Internet of Things Engineering at the School of Software, Nanyang Normal University, from 2015 to 2019. During this period, Cai not only excelled academically but also actively participated in various competitions and research projects, laying a solid foundation for future academic and professional endeavors.

 Professional Endeavors 💼

Academic Positions

Her embarked on a professional journey that seamlessly integrated with ongoing academic pursuits. From 2020 to 2022, Cai pursued a Master’s degree in Computer Technology at the School of Information Engineering, Ningxia University. During this time, Cai contributed significantly to the academic community by assisting teachers in reviewing high-profile articles for conferences and journals such as CVPR, ICCV, TIP, and TIFS. Cai’s dedication and expertise were further recognized with a series of scholarships and awards, marking the beginning of a promising career in the field of electronic information engineering.

In August 2022, Cai began a Ph.D. program in Electronic Information Engineering at the School of Information Science and Engineering, Fudan University. This transition to Fudan University marked a significant milestone in Cai’s academic journey, providing opportunities to engage in advanced research and collaborate with leading experts in the field.

Contributions and Research Focus on artificial intelligence (AI)📚

  • her research interests lie primarily in the domains of Computer Vision, 3D Reconstruction, and 3D Generation. Over the years, Cai has made substantial contributions to these fields, publishing several notable academic papers as the first author. These papers include:
    1. “Instruct Pix-to-3D: Instructional 3D Object Generation from a Single Image” (Neurocomputing, 2024) – This paper explores innovative methods for generating 3D objects from single images, pushing the boundaries of instructional 3D object generation.
    2. “META DESCENT LEARNING FOR CLASS IMBALANCED AGE ESTIMATION” (IEEE International Conference on Multimedia and Expo, 2022) – This work addresses the challenges of class imbalance in age estimation, proposing a novel meta-descent learning approach.
    3. “Progressive Ordinal Regression for Long-tailed Age Estimation” (Asian Conference on Artificial Intelligence Technology, 2021) – This paper introduces a progressive ordinal regression technique for improving the accuracy of long-tailed age estimation.
    4. “Occlusion Contrasts for Self-Supervised Facial Age Estimation” (ACM International Conference on Multimedia, 2021) – Cai’s research in this paper focuses on leveraging occlusion contrasts for enhancing self-supervised facial age estimation.
    5. “Open Set Face Anti-Spoofing in Unseen Attacks” (ACM International Conference on Multimedia, 2021) – This study investigates open set face anti-spoofing techniques, addressing challenges posed by unseen attacks.

Accolades and Recognition 🏆

Cai Weiwei’s academic excellence and research contributions have been recognized with numerous awards and honors. Notable among these are:

  • Second-class scholarship for doctoral studies (2024)
  • PhD Excellence Scholarship (2023)
  • Outstanding Graduate of Ningxia University (2022)
  • First-class scholarship for postgraduate studies (2021)
  • Bronze Medal of Henan ACM Competition (2018)
  • National Inspirational Scholarship (2015-2018)

These accolades underscore Cai’s commitment to academic excellence and research innovation.

 Impact and Influence 🌍

Community Impact

Her work in computer vision and 3D reconstruction has had a profound impact on the academic community and beyond. By publishing groundbreaking research and collaborating with leading experts, Cai has contributed to advancements in technology that have the potential to transform various industries, including healthcare, entertainment, and security. Cai’s research on age estimation and face anti-spoofing, in particular, holds significant promise for improving biometric systems and enhancing security measures.

 Legacy and Future Contributions 🔮

    • Looking ahead, she is poised to continue making significant contributions to the fields of computer vision and electronic information engineering. With a strong academic background, a track record of impactful research, and a commitment to innovation, Cai is well-positioned to lead future advancements in these areas. As a member of the Chinese Communist Party (CCP), Cai also brings a unique perspective to the intersection of technology and societal development, advocating for the responsible and ethical use of technological innovations.

Citations

Citations 13

h-index 2

i10-index 0

Notable Publications 

Hui Zhang | Artificial intelligence | Best Researcher Award

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Dr. Hui Zhang  – Artificial intelligence  – Best Researcher Award

Shandong University | China

Author Profile 

Early Academic Pursuits 🎓

He embarked on his academic journey with a Bachelor of Science degree from the School of Information and Electrical Engineering at Shandong Jianzhu University, Jinan, China, in 2022. His early education laid a strong foundation in the field of engineering and information sciences. Eager to delve deeper into the world of control science and engineering, Hui Zhang pursued a Ph.D. at the School of Control Science and Engineering, Shandong University, where he continues to make significant strides in his research endeavors.

 Professional Endeavors 💼

His professional endeavors are marked by a robust engagement in research that bridges theoretical insights with practical applications. His work primarily focuses on fuzzy logic theory, machine learning, computational intelligence, and hydrogen energy systems. Despite being early in his career, Hui Zhang has published three academic papers and has applied for six invention patents, showcasing his dedication to advancing technology and innovation. Additionally, he has three more papers currently under review, indicating a continuous contribution to the academic community.

Contributions and Research Focus on Artificial intelligence📚

His research contributions are both innovative and impactful. His areas of interest include artificial intelligence and intelligent computing, with a specific focus on fuzzy logic and its applications. One of his notable contributions is the development of a novel hybrid deep fuzzy model (HDFM). This model introduces a new parameter optimization strategy that combines gradient descent with Regularization, DropRule, and AdaBound algorithms, significantly enhancing model convergence. The hybrid deep fuzzy architecture proposed by Hui Zhang has demonstrated superior forecasting performance compared to existing models like DIRM-DFM, IT2DIRM-DFM, DCFS, and ANFIS. This model not only offers better interpretability but also provides a more flexible construction property, proving its practical viability in various applications.

 Accolades and Recognition 🏆

His work has been recognized in various esteemed platforms. His publications have been accepted in notable conferences and journals, including:

  1. A Novel Hybrid Deep Fuzzy Model Based on Gradient Descent Algorithm with Application to Time Series Forecasting, Expert Systems with Applications, 2024.
  2. Interval Type-2 Fuzzy Logic System Based on Batch Normalization and Uniform Regularization with Application to Time Series Forecasting, 2023 China Automation Congress (CAC), Chongqing, China.
  3. Time Series Forecasting Based on Interval Type-2 Fuzzy Logic System with PSO, 2021 China Automation Congress (CAC), Beijing, China.

These publications not only highlight his expertise but also his contribution to advancing the field of intelligent computing and fuzzy logic systems.

 Impact and Influence 🌍

His research has a broad impact, particularly in the realm of hydrogen energy systems, which are crucial for sustainable development. He has participated in three national key research and development program projects in China, focusing on the intelligent management and control of hydrogen energy systems and their integration into urban energy supply networks. These projects underscore his role in addressing critical energy challenges through innovative technological solutions. His contributions have a far-reaching influence, promoting the adoption of intelligent systems in real-world applications and paving the way for future advancements in energy management and control technologies.

 Legacy and Future Contributions 🔮

As he continues his academic and professional journey, his work is set to leave a lasting legacy in the fields of artificial intelligence and intelligent computing. His innovative approaches to fuzzy logic and machine learning are already making significant impacts, and his ongoing research promises to further advance these fields. Hui Zhang’s commitment to pushing the boundaries of what is possible in intelligent systems and his contributions to sustainable energy solutions position him as a leading figure in the next generation of researchers.

With his combination of theoretical insights and practical applications ,his future contributions are expected to drive further innovations and advancements. His work will likely continue to inspire and influence both his peers and future researchers, ensuring that his legacy in the field of intelligent computing and energy systems will endure.

Citations

Citations          4

h-index            1

i10-index         0

Notable Publications