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.

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

📚Publications:

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