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.

Tao Chen | artificial intelligence (AI) | Best Researcher Award

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Prof. Tao Chen – artificial intelligence (AI) – Best Researcher Award

fudan university  | China

 Profiles 

📍Current Position

Chen Tao (Ph.D.) is a prominent researcher and doctoral supervisor at Fudan University, serving as the Assistant to the Dean of the School of Information. As a key figure in the field, he holds the titles of National Youth Thousands and Shanghai Thousands.

📝Publication Achievements 

Chen Tao has made significant contributions to his field, with over 130 academic papers published in top international journals and conferences, including IEEE TPAMI, TIP, IJCV, CVPR, and NeurIPS. Among these, he boasts 3 ESI highly cited papers and holds more than 20 Chinese patents and international PCT patents. His research has been instrumental in advancing energy-efficient deep learning, large model compression, multimedia information processing, and compact machine vision.

 

🔍Ongoing Research 

Chen Tao’s ongoing research focuses on energy-efficient deep learning and large model compression. His work is aimed at developing lightweight deep learning models that are both software and hardware efficient. Additionally, he explores multimedia information processing and compact machine vision, with a long-term focus on lightweight deep learning theory and software-hardware collaboration.

🔬Research Interests 

Energy-efficient deep learning. Large model compression. Multimedia information processing. Compact machine vision .Light weight deep learning theory. Software and hardware collaboration

🎓Academic Background 

Ph.D. in Image Information Processing from Nanyang Technological University, Singapore (August 2008 – August 2012).Master’s in Circuits and Systems from Zhejiang University (September 2006 – July 2008).Bachelor’s in Electronic Information Engineering from Shandong University (September 2002 – June 2006).

🏆Scholarships and Awards 

First Prize in the 2023 Fudan University Teacher Teaching Innovation Competition Top Ten Graduate Counselors of Fudan University in 2023. 2023 ICCV International 3D Scene Understanding Challenge Global Champion. Third place in the 2022 ECCV Unmanned Driving Anomaly Challenge. 2021 Fudan University School of Information Dean’s Award.
2021 Global Education Innovation Alliance Outstanding Youth Nomination Award. 2020 Shanghai “Thousand Talents Plan” Innovation Long-term Project Winner. Multiple awards from the Singapore Institute of Information and Communications Technology (I2R).

🌐Professional Associations 

He is actively involved in various professional associations, serving as a director of the Shanghai Image and Graphics Society and a youth member of the China Image and Graphics Society. He is also a member of the Working Committee and Senior Area Chair of the Vision and Learning Symposium.

 📚Training & Workshops 

He has conducted and participated in numerous training sessions and workshops, focusing on advanced topics in deep learning, artificial intelligence, and multimedia processing.

🎤Oral Presentations 

He has delivered several high-impact oral presentations at international conferences and academic events, showcasing his research findings and innovations.

🧑‍🔬Tasks Completed as a Researcher 

Leading national and international research projects. Developing innovative deep learning models. Securing patents and contributing to industry standards. Mentoring doctoral students and junior researchers..

🚀Success Factors 

He attributes his success to his dedication to research, continuous learning, and collaboration with other experts in his field. His ability to secure funding and deliver impactful results has been key to his professional growth.

🧪Publications & Laboratory Experience

His extensive publication record and hands-on laboratory experience highlight his expertise and contributions to the field of artificial intelligence and machine learning. His work has been implemented in enterprise terminal products from major companies like Huawei, ZTE, and Xiaomi.

📚Publications: