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

Hechang Chen| Artificial Intelligence | Best Researcher Award

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Mr. Hechang Chen – Artificial Intelligence – Best Researcher Award

Education Background

Doctoral Candidate in Computer Software and Theory: Duration: September 2014 – December 2018, Institution: College of Computer Science and Technology, Jilin University. Visiting Doctoral Student: Duration: July 2017 – January 2018, Institution: Health and Medical Informatics Research Center, School of Computer Science, Hong Kong Baptist University. Jointly Cultivated Doctoral Student: Duration: November 2015 – December 2016, Institution: College of Computer Science, University of Illinois at Chicago.

Jilin University, School of Artificial Intelligence | China

Profiles 

Scopus

Orcid

📍Current Position

Hechang Chen is an Associate Professor at the School of Artificial Intelligence, Jilin University (JLU), China. He specializes in cutting-edge artificial intelligence (AI) research and has been affiliated with Jilin University since completing his advanced studies. With a strong foundation in machine learning, data mining, and AI for science, Dr. Chen’s work focuses on innovative solutions and applications in intelligent gaming and embodied AI.

📝Publication Achievements 

Journals Published

Dr. Chen has an impressive publication record, with over 70 articles in prestigious international journals and conferences such as IEEE TPAMI, TKDE, TNNLS, TIST, NeurIPS, ICML, KDD, SIGIR, and AAAI. His notable works include contributions to NeurIPS 2022 and 2023, ICML 2024, and other high-impact forums. His research outputs are recognized for their significant impact in the fields of deep reinforcement learning, machine learning, and data science, contributing valuable insights into AI methodologies.

🔍Ongoing Research 

Currently, Dr. Chen is engaged in multiple research projects, including the International Science and Technology Cooperation Project on “Intelligent Active Monitoring Methods under Complex Migration Patterns” and the Major Project of the National Science and Technology Innovation 2030 Initiative on “Intelligent Theories and Methods for Complex Dynamic Systems.” These projects, funded by substantial grants, explore advanced AI methodologies, intelligent monitoring, and dynamic system analysis, pushing the boundaries of AI technology.

🔬Research Interests 

Dr. Chen’s research interests encompass a wide range of AI domains, including: Machine Learning: Developing novel algorithms and approaches for supervised and unsupervised learning. Data Mining: Extracting meaningful patterns and insights from large datasets. Intelligent Gaming: Innovating in AI applications for game design and player experience enhancement. AI for Science: Applying AI techniques to solve complex scientific problems. Embodied AI: Focusing on AI systems that interact with the physical world.

🎓Academic Background 

Dr. Chen’s academic journey began with a Master’s and Ph.D. in Computer Science and Technology from Jilin University. His doctoral research was under the guidance of Professor Bo Yang. He further enhanced his expertise through international experiences as a joint Ph.D. student at the University of Illinois at Chicago (UIC) and a visiting doctoral student at Hong Kong Baptist University (HKBU), where he worked with esteemed mentors, Professor Philip S. Yu and Professor Jiming Liu.

🏆Scholarships and Awards 

Dr. Chen has received numerous accolades, including the First Prize in the Jilin Provincial Natural Science Award for his work on “Domain-Driven Theory and Methodology for Network Big Data Analysis.” This prestigious recognition highlights his contributions to the advancement of big data and network analysis theories.

🌐Professional Associations 

Dr. Chen is actively involved in various professional associations, collaborating with international scholars and institutions. His work with IEEE and other leading AI and data science conferences showcases his commitment to the global AI research community. He collaborates extensively on international projects, contributing to the cross-pollination of ideas and innovations in AI.

 📚Training & Workshops 

Dr. Chen frequently participates in and conducts workshops and training sessions, sharing his expertise in machine learning and AI. These activities not only advance his knowledge but also contribute to the professional development of students and peers in the AI community.

🎤Oral Presentations 

An engaging speaker, Dr. Chen has delivered numerous oral presentations at top-tier conferences, including NeurIPS, ICML, and AAAI. His presentations cover a range of topics from reinforcement learning to data science, providing insights into his latest research findings and theoretical advancements.

🧑‍🔬Tasks Completed as a Researcher 

As a researcher, Dr. Chen has undertaken various tasks, including leading significant AI projects, developing new machine learning algorithms, and publishing extensively in high-impact journals. His work involves a meticulous blend of theoretical and applied research, ensuring that his contributions are both innovative and practical.

🚀Success Factors 

Dr. Chen’s success is attributed to his strong analytical skills, interdisciplinary approach, and commitment to advancing AI technology. His international education and collaborations have provided him with a broad perspective, enabling him to tackle complex AI challenges with innovative solutions.

🧪Publications & Laboratory Experience

Dr. Chen’s laboratory experience is rich with projects focusing on deep learning, reinforcement learning, and AI applications in various domains. His publications, such as those in IEEE TKDE and TNNLS, are a testament to his expertise and significant contributions to the field. These works

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