Prof. Lianwei Chen | Wireless Energy Transfer | Best Researcher Award

Prof. Lianwei Chen | Wireless Energy Transfer | Best Researcher Award

Prof. Lianwei Chen, Institute of Optics and Electronics, Chinese Academy of Sciences, China

Lianwei Chen is a distinguished professor at the Institute of Optics and Electronics, Chinese Academy of Sciences, specializing in laser micro/nano-processing and optical vector fields. With over 30 publications in top-tier journals, including Science Advances and Applied Physics Reviews, and a recipient of the prestigious Wang Gungwu Medal for his outstanding Ph.D. thesis, Lianwei has made significant contributions to spatial-temporal optical field manipulation and quantum imaging experiments. His innovative approach extends beyond academia; as a co-founder of two successful spin-offs, he has transformed research into commercial products, earning recognition for his work in technology commercialization. Lianwei holds a Ph.D. from the National University of Singapore, where he also received first-class honors during his Bachelor’s degree. His expertise and leadership in the field are further exemplified through his involvement with professional associations such as the Optical Society of America and the International Society for Optics and Photonics.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Lianwei Chen is a leading expert in laser micro/nano-processing and optical vector field manipulation. His innovative research aims at developing advanced laser fabrication techniques for micro- and nano-structures, coupled with optical imaging to enhance processed samples. With over 30 publications in prestigious journals such as Science Advances and Applied Physics Reviews, along with a book chapter and numerous invited talks, Dr. Chen has established himself as a prominent figure in the optics community. He has also been recognized with an award from a Nature Series Journal, underscoring his impactful contributions.

Education 🎓

  • Ph.D. in Engineering Science
    National University of Singapore (NUS), Singapore
    Duration: Aug. 2015 – Dec. 2019
    Scholarship: NUS Graduate School for Integrative Sciences and Engineering
    Supervisor: Prof. Hong Minghui

  • Bachelor (Hon.) in Engineering Science
    National University of Singapore (NUS), Singapore
    Duration: Aug. 2010 – Feb. 2015
    Honors: First Class Honor, Ranking 1st in specialization

  • Exchange Program
    University of British Columbia (UBC), Canada
    Duration: Jan. 2013 – Apr. 2013
    Award: NUS-UBC Lee Foundation Student Exchange Award

Work Experience 💼

  • Professor
    Institute of Optics and Electronics, Chinese Academy of Sciences, China
    Duration: July 2022 – Present
    Focus: Spatial-temporal optical field manipulation

  • Research Fellow
    National University of Singapore (NUS), Singapore
    Duration: July 2019 – June 2022
    Focus: Quantum imaging experiments

  • Assistant Manager
    Light: Science & Application (Nature Publishing Group)
    Duration: Aug. 2016 – Dec. 2017

  • Staff
    Optoelectronics Advances (IOE, Chinese Academy of Science)
    Duration: Dec. 2017 – Dec. 2019

  • Lab Work History

    • NUS Optical Science & Engineering Center (2017-2019)
    • NUS Laser Microprocessing Lab (2014-2017)
    • Singapore Institute of Manufacturing Technology (SIMTech), A*STAR (May – Aug. 2012)
    • Institute of Materials Research and Engineering (IMRE), A*STAR (May – Aug. 2013)

Achievements 🌟

  • 30+ Publications in top-tier journals (e.g., Science Advances, Applied Physics Reviews)
  • Co-founder of two spin-offs with over 20 staff
  • First-inventor patents licensed and globally launched products
  • Invited to publish on technology commercialization in iScience journal, Cell Press

Awards & Honors 🏆

  • National Level Youth Talent Project, China (2023)
    One of four recipients nationwide
  • Wang Gungwu Medal and Prize (2020)
    Top PhD thesis in Natural Science, NUS
  • Third Prize, Rising Star of Light (2018)
    Nature Publishing Group
  • Shortlisted for Design of the Year (2018)
    President’s Design Award, Singapore
  • Top 10 Ideas (University Category, 2014)
    Samsung Solve for Tomorrow Contest
  • Outstanding Undergraduate Researcher Prize (2014)
    NUS
  • Invited Scholar (2011)
    World Leadership Conference, Singapore

Publication Top Notes:

Vectorial-Optics-Enabled Multi-View Non-Line-Of-Sight Imaging with High Signal-To-Noise Ratio

A Miniature Meta-Optical System for Reconfigurable Wide-Angle Imaging and Polarization-Spectral Detection

Global Selection Rules and Giant Enhanced Harmonic Generations in LiNbO3 Nonlinear Meta-Optics

 

Dr.KARTHIKEYAN C | Artificial Intelligence | Best Researcher Award

Dr.KARTHIKEYAN C | Artificial Intelligence | Best Researcher Award

Dr.KARTHIKEYAN C, SAVEETHA INSTITUTE OF MEDICAL AND TECHNICAL SCIENCES, DEEMED UNIVERSITY, India

Dr. C. Karthikeyan is a distinguished Professor in the Department of Computer Science and Engineering at SIMATS University, Chennai, specializing in Artificial Intelligence and Data Science. With over 21 years of teaching experience and 2 years in industry, he has significantly contributed to the academic community. Dr. Karthikeyan holds a Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad. He is a prolific researcher, having published 61 papers in reputable journals and secured multiple patents. His commitment to education extends beyond the classroom, as he has taken on leadership roles, including Dean at ISBAT University, Uganda. Passionate about empowering students and enhancing educational quality, Dr. Karthikeyan is dedicated to advancing research and innovation in computer science.

Professional Profile

scopus

google scholar

Evaluation of Dr. C. Karthikeyan for the Research for Best Researcher Award

Summary of Suitability

Dr. C. Karthikeyan stands out as a highly qualified candidate for the Research for Best Researcher Award due to his extensive academic background and impressive research output. With a Ph.D. in Computer Science and Engineering, he has accumulated over 61 publications in reputed journals, including 15 in SCI and 20 in WoS. His contributions span various areas, particularly in Artificial Intelligence and Data Science, which align with contemporary research trends.

  🎓  Education 

Dr. C. Karthikeyan’s academic journey reflects his commitment to excellence in the field of computer science. He earned his Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad, in 2017. Prior to this, he completed his M.E. in Computer Science and Engineering from Vinayaka Missions Research Foundation, Salem, in 2008. His foundational education includes an M.C.A. from the University of Madras, Chennai (2002), and a double major in Physics, earning both an M.Sc. (1997) and a B.Sc. (1995) from the same institution. Dr. Karthikeyan’s diverse educational background equips him with a robust understanding of both theoretical and practical aspects of technology, allowing him to contribute effectively to teaching and research in artificial intelligence and data science.

   🏢  Experience 

Dr. C. Karthikeyan has accumulated over 21 years of teaching experience and 2 years in the industry, making him a seasoned educator and professional. Currently, he serves as a Professor in the Department of Computer Science and Engineering at SIMATS University, Chennai, since July 2024. Prior to this, he was a Professor at K.L. University, Vijayawada, from May 2018 to July 2024. His administrative capabilities were showcased during his tenure as Dean at ISBAT University in Uganda, where he led strategic planning and curriculum development. He also held the position of Associate Professor and Head of the Department at Aarupadai Veedu Institute of Technology for 16 years, where he was instrumental in elevating the department’s status and coordinating various academic activities. Additionally, he served as Academics Head at APTECH Computer Education, further enhancing his experience in educational management.

 🏅 Awards and Honors 

Dr. C. Karthikeyan has received numerous awards and recognitions throughout his illustrious career. His research excellence is highlighted by 61 publications in prominent journals, including 15 indexed in SCI and 20 in WoS, showcasing his contributions to artificial intelligence and data science. He has authored two books and contributed chapters to several academic texts, further solidifying his reputation in the field. Dr. Karthikeyan’s innovative spirit is evidenced by his four patents, one of which has been granted, reflecting his commitment to practical applications of research. He is also recognized as a life member of several prestigious professional societies, including IEEE and IACSIT. His proactive involvement in academic committees and continuous professional development exemplifies his dedication to both his field and his students, earning him respect and admiration within the academic community.

Research Focus 

Dr. C. Karthikeyan’s research focus lies primarily in the domains of Artificial Intelligence and Data Science, with a strong emphasis on innovative solutions to real-world problems. His work spans various areas, including machine learning, cognitive computing, and data mining techniques, aimed at enhancing computational efficiency and decision-making processes. He has actively contributed to advancements in automated systems, particularly in healthcare and assistive technologies for visually impaired individuals. Dr. Karthikeyan’s research also investigates the integration of Internet of Things (IoT) with AI to develop smart applications that improve user experiences. His interdisciplinary approach allows him to collaborate with experts in different fields, fostering an environment of innovation and knowledge exchange. Through his research endeavors, he aims to contribute to sustainable development, particularly in renewable energy and smart technology applications, aligning with global efforts towards a more sustainable future.

Publications Top Notes 

Deep learning based capsule neural network model for breast cancer diagnosis using mammogram images
  • Citations: 154
Improved wild horse optimizer with deep learning enabled battery management system for internet of things based hybrid electric vehicles
  • Citations: 56
Active vibration control of a full scale aircraft wing using a reconfigurable controller
  • Citations: 41
Taylor‐AMS features and deep convolutional neural network for converting nonaudible murmur to normal speech
  • Citations: 39
Low rate DDoS mitigation using real-time multi threshold traffic monitoring system
  • Citations: 37