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

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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:

GOOGLE SCHOLAR

SCOPUS

Summary of Suitability for Best Researcher Award – 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.

👩‍🏫 Work Experience

  • University Professor (Feb 2001–Present) – University of Bucharest, Romania

    • 🎓 Director, Doctoral School of Physics (since 2011)

    • 👩‍🔬 Doctoral Supervisor (since 2004)

    • 📚 MSc Courses: Quantum Computing, Nanostructures, Nonlinear Optics, Solar Energy Materials, etc.

    • 🧑‍🏫 BSc Courses: Solid State Physics (English)

  • Lecturer / Assistant Lecturer (Oct 1990–Jan 2001) – University of Bucharest

    • 📘 Courses: Advanced Optoelectronic Devices, Solid State Optoelectronics

  • Physics Engineer (Oct 1989–Sept 1990) – IRNE, Piteşti

    • 🔬 Research in pyroelectric devices

  • Visiting Professor & Researcher

    • 🇫🇷 CNRS, Saint-Etienne (1997, 2000) – Research in optics

    • 🇩🇪 Alex. von Humboldt Fellow, Univ. Mannheim (1998–1999, 2001–2002) – Optoelectronics

    • 🇫🇷 Directeur de Recherche, LAAS-CNRS, Toulouse (2008–2010) – Nanostructures

🎓 Education

  • Ph.D. in Physics (1993) – University of Limerick, Ireland 🇮🇪

    • 📡 Specialization: Guided wave optics, modeling of fiber couplers

  • Dipl. Physics Engineer (MSc Equivalent) (1989) – University of Bucharest, Romania 🇷🇴

    • 🌌 Focus: Semiconductors, optics, general physics

🏆 Achievements & Honors

  • 🎖 Alex. von Humboldt Fellowship – Prestigious research grant (Germany)

  • 🌍 International recognition in optoelectronics, nanostructures, and quantum physics

  • 🗣 Taught and collaborated in multinational research environments (France, Germany, Ireland)

  • 🧑‍🔬 Directed numerous Ph.D. students and research teams

  • 📘 Contributed significantly to advanced education and curriculum development in quantum and nano sciences

Publication Top Notes:

Field-effect transistors based on nickel oxide doped with nitrogen semiconductor ferroelectrics for ultralow voltage switch (1 μV), 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

Dr. Zhi Cao | Optical Sensing Awards | Best Researcher Award

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Dr. Zhi Cao | Optical Sensing Awards | Best Researcher Award

Dr. Zhi Cao, Shenzhen People’s Hospital, China

Dr. Zhi Cao is a Postdoctoral Fellow at the Department of Gastroenterology, Shenzhen People’s Hospital, affiliated with the Second Hospital of Jinan University and the First Affiliated Hospital of Southern University of Science and Technology. His academic journey includes a Ph.D. in Pharmacy from Wuhan University, where he worked under the guidance of Prof. Zilin Chen. Dr. Cao has extensive research experience in the fields of theranostic probe development, targeted protein degradation, and multi-omics in drug discovery. He is particularly focused on the development of NIR-I/II probes for cancer and neuroinflammation diagnosis, as well as designing PROTACs for targeted protein degradation. His work also involves single-cell transcriptomics in pancreatic regeneration, CRISPR-Cas9/CAR-T engineering for immunotherapies, and the pharmacodynamic evaluation of antitumor/anti-inflammatory agents. Throughout his career, Dr. Cao has contributed to several competitive research grants, including projects funded by the National Natural Science Foundation of China and Guangdong Provincial Key R&D Program. He has held various academic positions, including a visiting scholar role at Tokyo Metropolitan University and research assistantships at Guangzhou University of Chinese Medicine and Cleveland Clinic’s Lerner Research Institute. Dr. Cao’s interdisciplinary expertise and contributions continue to push the boundaries of pharmacological research, with a focus on innovative approaches to cancer and immune-related diseases.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Zhi Cao, Ph.D.

Dr. Zhi Cao is an outstanding candidate for the Best Researcher Award, as evidenced by his academic excellence, research expertise, and notable contributions to the fields of theranostic probe development, targeted protein degradation, and drug discovery. With a Ph.D. in Pharmacy from Wuhan University and a wealth of postdoctoral experience at prestigious institutions such as Shenzhen People’s Hospital, Tokyo Metropolitan University, and Cleveland Clinic, Dr. Cao has demonstrated a commitment to advancing scientific knowledge and practical applications in the healthcare field.

Education 🎓

  • Ph.D. in Pharmacy
    Wuhan University (2018.09 – 2021.06)
    Advisor: Prof. Zilin Chen
  • M.Sc. in Microbial & Biochemical Pharmacy
    South China Normal University (2014.09 – 2017.06)
    Advisor: Prof. Xiaodong Ma
  • B.Sc. in Traditional Chinese Pharmacy
    Hunan University of Chinese Medicine (2010.09 – 2014.06)
    Advisor: Prof. Xiangqian Liu

Work Experience 💼

  • Postdoctoral Fellow
    Shenzhen People’s Hospital (Affiliated Second Hospital of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology) (Nov. 2021 – Present)
    Supervisors: Prof. Lisheng Wang, Prof. Shaohui Tang, Prof. Xiaodong Ma
  • Visiting Scholar
    Tokyo Metropolitan University (JST Sakura Science Exchange Program) (Dec. 2019)
    Advisor: Prof. Uchiyama
  • Research Assistant
    Guangzhou University of Chinese Medicine (July 2017 – Aug. 2018)
  • Joint Training Scholar
    Lerner Research Institute, Cleveland Clinic (Jan. 2016 – Mar. 2017)
    Advisor: Prof. Yong Li

Research Expertise 🔬

  1. Theranostic Probe Development:
    Design and application of NIR-I/II probes for cancer and neuroinflammation diagnosis and mechanistic studies.
  2. Targeted Protein Degradation:
    Design, synthesis, and target identification for PROTACs (Proteolysis-Targeting Chimeras).
  3. Multi-Omics & Drug Discovery:
    • Single-cell transcriptomics in pancreatic regeneration (acute necrotizing pancreatitis)
    • CRISPR-Cas9/CAR-T engineering for immunotherapies
    • Capillary electrophoresis/chromatography-based drug target screening
    • Pharmacodynamic evaluation of antitumor/anti-inflammatory agents

Achievements 🏆

  • National Natural Science Foundation of China (NSFC) Grants:
    1. CAIX-Targeted Hypoxia Imaging in Tumors (82073808, ¥560,000, 2021-2024) – Key Member
    2. Wearable Biosensing for Interstitial Biomarkers (22074113, ¥630,000, 2021-2024) – Key Member
  • Guangdong Provincial Key R&D Program:
    • microRNA-Optimized CAR-T Cell Therapy (2017A030311004, ¥500,000, 2017-2020) – Co-Investigator

Awards & Honors 🥇

  • Key Member of NSFC Grants for cancer imaging and biosensing projects.
  • Co-Investigator for Guangdong Provincial Key R&D Program on CAR-T cell therapy.

Publication Top Notes:

Near‐Infrared Imaging Agent ABSi‐148 Alleviates CA IX‐Mediated Hypoxic Fibrosis in Inflammation‐Cancer Transition

Letrozole‐Based Near‐Infrared Dynamic Imaging Targeting Ductal‐Vascular RhoJ From Pancreatic Intraepithelial Neoplasia to Pancreatic Ductal Adenocarcinoma

Characterization of tumor-associated endothelial cells and the development of a prognostic model in pancreatic ductal adenocarcinoma

Design and synthesis of a novel mitochondria-targeted osteosarcoma theranostic agent based on a PIM1 kinase inhibitor.

Strong hydrophilic monolithic column functionalized with amphiphilic benzyl quinine for capillary electrochromatography and application in pharmaceutical analysis

 

Dr. Ehsan Adibnia | Photonic Crystals Awards | Best Researcher Award

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Dr. Ehsan Adibnia | Photonic Crystals Awards | Best Researcher Award 

Dr. Ehsan Adibnia, University of Sistan and Baluchestan, Iran

Ehsan Adibnia is a dedicated academic researcher specializing in electrical engineering, with a focus on artificial intelligence, machine learning, deep learning, nanophotonics, and plasmonics. He obtained his Ph.D. from the University of Sistan and Baluchestan in Zahedan, Iran, in 2024, after completing his Bachelor’s degree in the same field in 2014. Ehsan actively engages in research projects, leveraging programming languages such as Python and MATLAB, and employing simulation software like Lumerical, COMSOL, and RSoft to implement algorithms and analyze data. His expertise spans various interdisciplinary applications, including optics, optoelectronics, metamaterials, and biosensors. Additionally, he has contributed to the academic community as a member of the executive committee for the 27th Iranian Conference on Optics and Photonics and the 13th Iranian Conference on Photonic Engineering and Technology, further demonstrating his commitment to advancing research and collaboration in the field.

Professional Profile:

ORCID

Research for Best Researcher Award 

Profile Overview: Ehsan Adibnia is an academic researcher with a Ph.D. in electrical engineering from the University of Sistan and Baluchestan, specializing in interdisciplinary fields such as artificial intelligence, machine learning, nanophotonics, and optics. His strong background in these areas, combined with hands-on research experience, positions him as a leading contributor to advancements in photonics and related technologies.

Education 🎓

  • Ph.D. in Electrical Engineering
    University of Sistan and Baluchestan, Zahedan, Iran (2024)
  • B.S. in Electrical Engineering
    University of Sistan and Baluchestan, Zahedan, Iran (2014)

Work Experience 💼

  • Academic Researcher
    Currently engaged in research projects focusing on artificial intelligence, machine learning, deep learning, nanophotonics, physics, optics, and plasmonics.

Achievements 🌟

  • Member of the Executive Committee
    Participated in organizing the 27th Iranian Conference on Optics and Photonics and the 13th Iranian Conference on Photonic Engineering and Technology, hosted by Sistan and Baluchestan University.

Publication Top Notes:

Chirped apodized fiber Bragg gratings inverse design via deep learning

A Compact and Fast Resonant Cavity-Based Encoder in Photonic Crystal Platform

High-speed all-optical symmetric 4 × 2 encoder using interface effects in two-dimensional photonic crystals

Nanophotonic structure inverse design for switching application using deep learning

Highly sensitive label-free biosensor: graphene/CaF<sub>2</sub> multilayer for gas, cancer, virus, and diabetes detection with enhanced quality factor and figure of merit