Prof. Dr. Daniela Dragoman | Plasmonic Sensor Awards | Best Researcher Award

Prof. Dr. Daniela Dragoman | Plasmonic Sensor Awards | Best Researcher Award

Prof. Dr. Daniela Dragoman, University of Bucharest, Romania

Dr. Daniela Dragoman is a distinguished Romanian physicist and University Professor at the University of Bucharest, where she has been a faculty member since 1990 and a Doctoral Supervisor since 2004. With a Ph.D. in Physics from the University of Limerick, Ireland, and a Dipl. Physics Eng. degree from the University of Bucharest, her expertise spans guided wave optics, nanostructures, quantum computing, and optoelectronic devices. Dr. Dragoman has served as Director of the Doctoral School of Physics since 2011 and has held prestigious research positions in France and Germany, including as an Alexander von Humboldt Fellow and Directeur de Recherche at LAAS-CNRS. Her teaching portfolio covers both undergraduate and postgraduate levels, including courses in nonlinear optics, solar energy materials, and integrated optoelectronics. An accomplished researcher and mentor, she is recognized for her leadership in academic and international research environments.

Professional Profile:

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Summary of Suitability for Best Researcher Award โ€“ Prof. Daniela Dragoman

Prof. Daniela Dragoman stands out as a highly accomplished and deserving candidate for the Best Researcher Award due to her long-standing academic excellence, leadership in doctoral education, and influential research in the fields of optoelectronics, nanostructures, and quantum physics.

๐Ÿ‘ฉโ€๐Ÿซ Work Experience

  • University Professor (Feb 2001โ€“Present) โ€“ University of Bucharest, Romania

    • ๐ŸŽ“ Director, Doctoral School of Physics (since 2011)

    • ๐Ÿ‘ฉโ€๐Ÿ”ฌ Doctoral Supervisor (since 2004)

    • ๐Ÿ“š MSc Courses: Quantum Computing, Nanostructures, Nonlinear Optics, Solar Energy Materials, etc.

    • ๐Ÿง‘โ€๐Ÿซ BSc Courses: Solid State Physics (English)

  • Lecturer / Assistant Lecturer (Oct 1990โ€“Jan 2001) โ€“ University of Bucharest

    • ๐Ÿ“˜ Courses: Advanced Optoelectronic Devices, Solid State Optoelectronics

  • Physics Engineer (Oct 1989โ€“Sept 1990) โ€“ IRNE, PiteลŸti

    • ๐Ÿ”ฌ Research in pyroelectric devices

  • Visiting Professor & Researcher

    • ๐Ÿ‡ซ๐Ÿ‡ท CNRS, Saint-Etienne (1997, 2000) โ€“ Research in optics

    • ๐Ÿ‡ฉ๐Ÿ‡ช Alex. von Humboldt Fellow, Univ. Mannheim (1998โ€“1999, 2001โ€“2002) โ€“ Optoelectronics

    • ๐Ÿ‡ซ๐Ÿ‡ท Directeur de Recherche, LAAS-CNRS, Toulouse (2008โ€“2010) โ€“ Nanostructures

๐ŸŽ“ Education

  • Ph.D. in Physics (1993) โ€“ University of Limerick, Ireland ๐Ÿ‡ฎ๐Ÿ‡ช

    • ๐Ÿ“ก Specialization: Guided wave optics, modeling of fiber couplers

  • Dipl. Physics Engineer (MSc Equivalent) (1989) โ€“ University of Bucharest, Romania ๐Ÿ‡ท๐Ÿ‡ด

    • ๐ŸŒŒ Focus: Semiconductors, optics, general physics

๐Ÿ† Achievements & Honors

  • ๐ŸŽ– Alex. von Humboldt Fellowship โ€“ Prestigious research grant (Germany)

  • ๐ŸŒ International recognition in optoelectronics, nanostructures, and quantum physics

  • ๐Ÿ—ฃ Taught and collaborated in multinational research environments (France, Germany, Ireland)

  • ๐Ÿง‘โ€๐Ÿ”ฌ Directed numerous Ph.D. students and research teams

  • ๐Ÿ“˜ Contributed significantly to advanced education and curriculum development in quantum and nano sciences

Publicationย Top Notes:

Field-effect transistors based on nickel oxide doped with nitrogen semiconductor ferroelectrics for ultralow voltage switch (1 ฮผV), low subthreshold swing and memory

Electric-Field-Induced Metal-Insulator Transition for Low-Power and Ultrafast Nanoelectronics

Graphene Monolayer Nanomesh Structures and Their Applications in Electromagnetic Energy Harvesting for Solving the Matching Conundrum of Rectennas

Room-temperature current modulation by an Y junction in graphene/hexagonal boron nitride

Quantum Graphene Asymmetric Devices for Harvesting Electromagnetic Energy

Demonstration of Microwave Harvesting Through Pyroelectricity in Cryogenic Conditions: A Quantum-to-Experimental Approach

Subthreshold slope below 60 mV/decade in graphene transistors induced by channel geometry at the wafer-scale

On the Transmission Line Analogy for Modeling Plasmonic Nanowire Circuits

Assoc Prof Dr Zhongxiang Liu | Applications of Sensors | Best Researcher Award

Assoc Prof Dr Zhongxiang Liu | Applications of Sensors | Best Researcher Awardย 

ย Assoc Prof Dr Zhongxiang Liu,Associate Researcher, Southeast University,China

Zhongxiang Liu is an Associate Professor at the School of Transportation, Southeast University, Nanjing, China. He has a strong background in structural engineering, with substantial experience in academia and research. His international exposure includes postdoctoral research at Columbia University and a visiting scholarship at Virginia Tech in the USA. With multiple editorial roles and contributions to international journals, Liu has established himself as a distinguished researcher in structural health monitoring and smart city infrastructure. He has received prestigious awards for his contributions to civil and structural engineering and is dedicated to advancing resilient and sustainable engineering solutions.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Zhongxiang Liu is an Associate Professor at the School of Transportation, Southeast University, with a Ph.D. in Structural Engineering from Southeast University, China. He has a robust academic background, having completed postdoctoral research at Columbia University and held a visiting scholar position at Virginia Tech. His research expertise lies in structural health monitoring, resilient structures for smart cities, and dynamic analysis of offshore structures. Liu is recognized for his prolific contributions as a guest editor for multiple high-impact journals and has received several prestigious awards, including the Science and Technology Progress Award of China and the Gold Medal at the International Exhibition of Inventions of Geneva.

Education

Zhongxiang Liu earned his Ph.D. in Structural Engineering from Southeast University, Nanjing, China, in 2019. Prior to that, he completed his M.S. in Structural Engineering at the same institution in Chongqing, China, in 2015. He holds a B.S. in Civil Engineering from Chongqing University, Chongqing, China, awarded in 2012. His strong academic foundation has provided him with the necessary expertise to excel in structural health monitoring, offshore structure dynamics, and novel sensing technologies for smart cities.

Work Experience

Liu has been serving as an Associate Professor at Southeast University, Nanjing, China, since February 2021. Before this, he was a Postdoctoral Research Fellow at Columbia University, USA, from November 2019 to November 2020. He also gained valuable international experience as a Visiting Scholar at Virginia Tech, USA, from November 2016 to November 2017. His work in these roles has focused on structural health monitoring, dynamic analysis of offshore structures, and the application of resilient engineering technologies in urban infrastructure.

Skills

Zhongxiang Liu specializes in structural health monitoring, offshore structure analysis, and resilient urban infrastructure. His skills extend to advanced hydro- and aero-dynamic analysis, condition assessment of bridges, and novel sensing technologies for smart city applications. He has editorial and review expertise for high-impact journals, as well as experience in conducting performance evaluations of structural systems. His proficiency in combining these skills to address practical engineering challenges makes him a versatile researcher and educator in the field of civil engineering.

Awards and Honors

Liu has received numerous prestigious awards, including the First Prize in the Science and Technology Progress Award of Jiangsu, China (2022) and the Grand Prize from the China Highway and Transportation Society (2022). His research was recognized internationally, earning the Gold Award with congratulations from the Jury at the 48th International Exhibition of Inventions of Geneva in 2023. Liu was also honored with the Liu Huixian Earthquake Engineering Scholarship Award (2019), as well as several National Scholarships from the Ministry of Education of China during his doctoral and masterโ€™s studies.

Membership

Zhongxiang Liu is actively involved in the academic community, serving as a guest editor for multiple journals including Materials (MDPI), Applied Sciences (MDPI), and Modelling (MDPI). He is a Youth Editorial member for the International Journal of Structural Integrity and Journal of Disaster Prevention and Mitigation Engineering. In addition, he reviews for more than 20 international journals in the fields of structural engineering and performance evaluation, further establishing his expertise and influence in the field.

Teaching Experience

As an Associate Professor at Southeast University, Liu is involved in teaching and mentoring students in advanced structural engineering concepts. His international experience at prestigious institutions such as Columbia University and Virginia Tech enriches his teaching, allowing him to incorporate a global perspective into his lectures. He guides students in the fields of structural health monitoring, offshore structures, and smart city technologies, preparing the next generation of engineers to tackle modern infrastructure challenges with innovative solutions.

Research Focus

Liuโ€™s research primarily focuses on structural health monitoring and the condition assessment of bridges, along with hydro- and aero-dynamic analysis of offshore structures. His work emphasizes resilient infrastructure solutions, particularly in the context of smart cities. By developing novel sensing technologies and resilient structural designs, Liu aims to enhance urban infrastructure’s longevity and safety. His research also explores the control and evaluation of dynamic responses in offshore structures, contributing to advancements in both civil engineering and sustainable urban development.

Publication top Notes:

 

Prof Dr. Sangook Moon | Ultrasonic Sensor | Best Researcher Award

Prof Dr. Sangook Moon | Ultrasonic Sensor | Best Researcher Awardย 

Prof Dr. Sangook Moon, Mokwon University, South Korea

Dr. Sangook Moon is an Associate Professor in the Department of Electrical & Electronic Engineering at Mokwon University, Korea. Born in 1971, Dr. Moon has established a notable career in electronic engineering with a focus on cryptography and VLSI design. He completed his B.S., M.S., and Ph.D. in Electronic Engineering from Yonsei University, Seoul, Korea. His Ph.D. dissertation, titled โ€œDesign and Implementation of Fast VLSI Algorithms for Elliptic Curve Cryptography Processor,โ€ was supervised by Dr. Yong Surk Lee.Dr. Moon has been with Mokwon University since 2004, progressing from Assistant Professor to Associate Professor. His research projects include the development of next-generation academic intranet frameworks, encryption and physical safety devices for STPM applications, and real-time processing technology for lattice cryptography. He has also worked on projects aimed at improving industrial processes and developing mobile healthcare devices.In addition to his academic roles, Dr. Moon has industry experience as a Senior Engineer at Hynix Semiconductor, where he developed Bluetooth baseband cores. He has also served as a visiting scholar at Virginia Polytechnic Institute and State University. Dr. Moonโ€™s technical skills encompass Verilog, VHDL, Synopsys Design Analyzer, and various other design and development tools.

Professional Profile

๐ŸŽ“ Education

  • Ph.D., Electrical & Electronic Engineering (2002)
    Yonsei University, Seoul, Korea
    Dissertation: Design and Implementation of Fast VLSI Algorithms for Elliptic Curve Cryptography Processor
    Advisor: Dr. Yong Surk Lee
  • M.S., Electronic Engineering (1997)
    Yonsei University, Seoul, Korea
    Thesis: A Prefetch Architecture with Efficient Branch Prediction for a 64-bit 4-way Superscalar Microprocessor
    Advisor: Dr. Yong Surk Lee
  • B.S., Electronic Engineering (1995)
    Yonsei University, Seoul, Korea
    Report: A Study of a Digital Voice Recorder Based on Adaptive Delta Modulation
    Advisor: Dr. Mignong Park

๐Ÿ›  Experience

  • Mokwon University (2004-Present)
    Assistant Professor, Associate Professor, Full Professor
    Key Projects:

    • Development of Next-Generation Academic Intranet Framework
    • Design of Encryption, TRNG, and Physical Safety Device for STPM Application
    • Development of Real-Time Processing Technology of Lattice Cryptography
    • Ultra-Low Power Wireless Monitoring-Based Remote Diagnostic Technology for Secondary System Devices
  • Visiting Scholar (2010-2011, 2017-2018)
    Department of ECE, Virginia Polytechnic Institute and State University
  • Senior Engineer (2002-2004)
    Bluetooth Development Team, Hynix Semiconductor
    Key Projects:

    • HBN3031 Bluetooth Baseband Single (with RF integrated) Chip
    • HBN3011 Bluetooth Baseband Controller
  • Research Assistant (1995-2001)
    Department of Electronic & Electrical Engineering, Yonsei University
    Research Topics:

    • Design and Implementation of an Encryption Processor for Elliptic Curve Cryptosystem
    • Research on DES, RSA Cryptographic Algorithms
    • Research on a Floating Point Unit Design
    • Full Custom Design of a 17b*17b Booth’s Multiplier
    • Research on a Prefetch Unit Suitable for SPARC-V9 RISC Processor
    • Study on SRT Divider Algorithm
  • Teaching Assistant (1995-1996)
    Yonsei University
    Courses:

    • Basic VLSI Design
    • Advanced Microelectronics
    • Computer Architecture

๐Ÿ’ป Skills

  • Verilog, VHDL
  • Synopsys Design Analyzer
  • Cadence Opus
  • PrimeTime
  • ModelSim

Publications Notes:๐Ÿ“„

Securing Infrared Communication in Nuclear Power Plants: Advanced Encryption for Infrared Sensor Networks

Self-reconfiguring Pseudo Random Address Generator for Secure Infrared Communication

Proxy bits for low cost floating-point fused multiply-add unit

Memory saving architecture of number theoretic transform for lattice cryptography

Embedded network camera processor system on a chip for various low-power multimedia applications

Design of a robust normal distribution sampler for ring-learning-with-errors cryptographic scheme