Tirziman Elena | Humanities and Science Integration | Best Researcher Award

Published on 30/12/202430/12/2024 by Popular Scientist

Tirziman Elena | Humanities and Science Integration | Best Researcher Award

Best Researcher Award University of Bucharest Romania

Elena Tirziman is a distinguished professor at the University of Bucharest, specializing in Librarianship and Information Sciences. With dual PhDs—one in Philology from the University of Bucharest and another in Information and Communication Sciences from the University Michel de Montaigne Bordeaux III, France—she has made significant contributions to the academic field. Elena has authored 21 books and published over 140 papers, articles, and studies in specialized journals. Her work focuses on digital libraries, librarianship education, and the development of information and communication sciences. Elena is actively involved in international and national research projects, shaping the future of information science education.

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Education 🎓

Elena Tirziman has a strong educational foundation, holding a PhD in Philology from the University of Bucharest and a PhD in Information and Communication Sciences from the University Michel de Montaigne Bordeaux III, France. She also graduated from the University of Bucharest, specializing in Librarianship and Information Science, and completed her studies in Finance, Banking, and Accounting at the Academy of Economic Studies in Bucharest. This diverse academic background has allowed her to merge knowledge from the humanities and technical disciplines, fostering a unique perspective in her research and teaching.

Experience 💼

Elena currently holds the position of Professor at the University of Bucharest within the Department of Librarianship and Information Sciences, where she also serves as a Doctoral Supervisor. Throughout her career, she has participated in numerous scientific meetings and debates regarding the education and training in Librarianship and Information Science. Elena has played a pivotal role in the development of 20 research projects, both national and international, further strengthening her academic reputation and involvement in advancing the field of information science.

Research Interest 🔍

Elena’s research interests lie in the fields of Information and Communication Sciences, Librarianship, and Digital Libraries. She is particularly interested in the transformation of traditional libraries into digital libraries and the ongoing evolution of information science education. Elena’s work explores how digitalization is reshaping the way information is stored, accessed, and disseminated, as well as the impact of technological advancements on librarianship practices and education.

Awards 🏆

Elena has earned recognition for her substantial contributions to Librarianship and Information Science, with awards acknowledging her research excellence and leadership in shaping modern information management practices. Her work in developing digital libraries and advancing information science education continues to receive accolades from national and international academic institutions.

Publication Top Notes: 📚

Elena has an extensive publication record, having authored 21 books and contributed over 140 communications, papers, and studies in specialized journals. Her research on digital libraries and librarianship education has been widely recognized. Some of her major works include:

Visibility of documentary heritage through digitisation projects in Romanian libraries

Aspecte teoretice și practice de regăsire și utilizare a informațiilor digitale ̂ın mediul universitar

Biblioteca Digitală a Rom̂aniei — Principii de constituire

Biblioteca publică contemporană – reflexie socio-culturală a comunității deservite

Jingyang Mao | Engineering | Best Researcher Award

Published on 30/12/202430/12/2024 by Popular Scientist

Dr. Jingyang Mao | Engineering | Best Researcher Award

Lecturer Shanghai Institute of Technology China

🧑‍🏫 Dr. Jingyang Mao is a dedicated lecturer at the School of Electrical and Electronic Engineering, Faculty of Intelligence Technology, Shanghai Institute of Technology. With a Ph.D. in Control Science and Engineering from the University of Shanghai for Science and Technology (2022), he specializes in cutting-edge research on networked control systems and cyber-physical systems. His academic journey also includes a visiting scholar tenure at Louisiana State University, USA (2019–2021). Dr. Mao’s work bridges theoretical innovations with practical applications in modern engineering systems.

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Education

🎓 Ph.D. in Control Science and Engineering (2022)

University of Shanghai for Science and Technology, Shanghai, China

✈️ Visiting Scholar (2019–2021)

Department of Electrical and Computer Engineering, Louisiana State University, USA

Experience

👨‍💻 Lecturer (2022–Present)

School of Electrical and Electronic Engineering, Shanghai Institute of Technology
Focus: Cyber-physical systems, networked control, and adaptive filtering

Research Interests

🔍 Dr. Mao’s research interests lie in the fields of:

Cyber-physical systems 🌐
Multi-rate systems ⏱️
Joint recursive filtering 🔄
Unknown input estimation ❓
Adaptive event-triggered mechanisms ⚙️

Awards

🏆 Award Nomination: Best Researcher Award
Recognized for groundbreaking contributions to the theory and application of cyber-physical systems.

Publications Top Notes:

📄 “Recursive filtering of multi-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms”

Event‐based reduced‐order H∞$H_{\infty }$ estimation for switched complex networks based on T‐S fuzzy model

Recursive filtering of multi-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms

Event-Based Distributed Adaptive Kalman Filtering With Unknown Covariance of Process Noises

Oliver. O Apeh | Energy and Sustainability | Excellence in Innovation

Published on 30/12/202430/12/2024 by Popular Scientist

Dr. Oliver. O Apeh | Energy and Sustainability | Excellence in Innovation

Researcher University of Johannesburg South Africa

Dr. Oliver Okechukwu Apeh is a highly accomplished physicist and educator specializing in solar energy systems, data science, and sustainable energy solutions. With over two decades of experience spanning teaching, research, and technical consultation, Dr. Apeh is a recognized authority in renewable energy technologies, food-energy-water nexus, and machine learning applications. His academic and professional journey has been marked by innovative contributions to the fields of physics and engineering, with an emphasis on leveraging technology for sustainable development.

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Education 🎓

Dr. Apeh earned his Ph.D. in Physics from the University of Fort Hare, South Africa (2021), where his research focused on optimizing solar photovoltaic systems under varying meteorological conditions. He holds an M.Sc. in Physics and Astronomy (Solar Energy/Materials Science, 2015) and a B.Sc. in Physics and Astronomy (2011) from the University of Nigeria, Nsukka. Additionally, he completed a Postgraduate Certificate in Education in Physics Education (2014) from the National Open University of Nigeria.

Professional Experience 🏫

Dr. Apeh currently serves as a lecturer at Eduvos Higher Institution, South Africa, and as a postdoctoral research fellow at the University of Johannesburg. His roles include undergraduate teaching, supervising honors and master’s students, and conducting cutting-edge research in renewable energy, machine learning, and blockchain technology. Previously, he has held positions ranging from laboratory demonstrator to Head of Department in institutions across Nigeria and South Africa, contributing significantly to education and research.

Research Interests 🔬

Dr. Apeh’s research interests encompass a broad range of interdisciplinary topics, including:

Machine learning for solar energy optimization
Blockchain applications in energy systems
Food-Energy-Water Nexus
Artificial Intelligence for smart energy systems
Renewable energy policy and implementation

Awards and Scholarships 🏆

National Research Foundation Grant Award (2017–2021), University of Fort Hare, South Africa.
Doctoral Research Award, University of Fort Hare, South Africa.
Recognition as the Most Punctual Teacher at St. Cyprian’s Science School, Nsukka (2014).
Best Science Teacher Award, Community Secondary School, Aguibeje (2003).

Publications Top Notes: 📚

Dr. Apeh has authored/co-authored numerous publications, reflecting his expertise in renewable energy and sustainable development. Some notable works include:

Electrical and meteorological data acquisition system of a commercial and domestic microgrid for monitoring pv parameters

Properties of nanostructured ZnO thin films synthesized using a modified aqueous chemical growth method

Monthly, seasonal and yearly assessments of global solar radiation, clearness index and diffuse fractions in alice, South Africa

Contributions of solar photovoltaic systems to environmental and socioeconomic aspects of national development—A review

The water-energy-food-ecosystem nexus scenario in Africa: Perspective and policy implementations

Performance evaluation of Bi₂O₃@GO and Bi₂O₃@rGO composites electrode for supercapacitor application

Pakezhamu Nuradili | Computer Science and Artificial Intelligence | Best Researcher Award

Published on 28/12/202428/12/2024 by Popular Scientist

Dr. Pakezhamu Nuradili| Computer Science and Artificial Intelligence | Best Researcher Award

PhD candidate University of Electronic Science and Technology of China

Pakezhamu Nuradili, a native of China, is a Ph.D. student specializing in Information and Communication Engineering. She is currently enrolled in a joint Ph.D. program between the University of Electronic Science and Technology of China (UESTC) and the University of Trento, Italy. Her expertise spans deep learning-based image processing, semantic segmentation, and thermal infrared imaging. Known for her attention to detail and excellent communication skills in multiple languages, she excels in both technical and interpersonal domains.

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Education 🎓

High School: Jiangpu Senior High School, Jiangsu Province, China (2010–2013)
Bachelor’s Degree: Electronics and Information Engineering, Hebei University of Science and Technology (2013–2017)
Master’s Degree: Radio Physics, Yili Normal University, China, focusing on face recognition algorithms (2017–2020)
Ph.D.: Information and Communication Engineering, UESTC, with a joint program at the University of Trento, Italy (2021–Present)

Work Experience 💼

Teaching:
- Substitute Teacher, Basic Computer Applications, Silk Road College of Ili (2017–2018)
- Graduate Assistant, Basic Computer Applications, Yili Normal University (2018–2019)
- Substitute Teacher, Advanced and Intermediate Mathematics, Ili Vocational and Technical College (2020–2021)
- Graduate Teaching Assistant, Principles of Remote Sensing, UESTC (2022)
Volunteering: Marathon Distance Race Volunteer, Trento, Italy (2024)

Research Interests 🔬

Pakezhamu’s research focuses on:

Deep learning-based image processing and semantic segmentation.
Thermal infrared and multispectral imaging for UAV applications.
Wetland segmentation using advanced models like SegFormer.

Awards 🏆

Hebei Provincial Inspiration Scholarship (2016)
Outstanding Graduation Design Award, Hebei University of Science and Technology (2017)
Graduate Student Scholarship, Yili Normal University (2018)
Xinjiang Autonomous Region Postgraduate Scholarship (2019)
UESTC Academic Scholarships (2022, 2023, 2024)
Outstanding Teaching Assistant Award, UESTC (2022)

Publications Top Notes: 📚

P. Nuradili et al., “UAV Remote-Sensing Image Semantic Segmentation Strategy Based on Thermal Infrared and Multispectral Image Features,” IEEE Journal on Miniaturization for Air and Space Systems, 4(3): 311-319, Sept. 2023. Cited by: 5

Nuradili, P. et al., “Semantic segmentation for UAV low-light scenes based on deep learning and thermal infrared image features,” International Journal of Remote Sensing, 45(12): 4160–4177, 2024. Cited by: 8

Nuradili, P. et al., “Wetland Segmentation Method for UAV Multispectral Remote Sensing Images Based on SegFormer,” IGARSS 2024 IEEE Symposium, 2024. Cited by: 3

Nuradili, P. et al., “Deep Learning Method for Wetland Segmentation in Unmanned Aerial Vehicle Multispectral Imagery,” Remote Sensing, 16(24): 4777, 2024. Cited by: 6

Nuradili, P. et al., “Fire Detection Based on Deep Learning Segmentation Methods,” Journal TBD, 2024 (Under Process).

Wang, Z. et al., “Removing temperature drift and temporal variation in thermal infrared images of a UAV uncooled thermal infrared imager,” ISPRS Journal of Photogrammetry and Remote Sensing, 203: 392-411, 2023. Cited by: 12

Zhenli Lu | Social Robotics | Outstanding Scientist Award

Published on 28/12/202428/12/2024 by Popular Scientist

Assoc. Prof. Dr. Zhenli Lu | Social Robotics | Outstanding Scientist Award

Principle Investigator of Robot intelligent control group Changshu Institute of Technolgy China

Dr. Zhenli Lu is an accomplished Associate Professor specializing in Mechatronic Engineering. With over 20 years of expertise in bio-inspired robot control and intelligent systems, he has spearheaded numerous research initiatives and collaborations. Dr. Lu is renowned for his contributions to robotics, particularly in cerebral palsy rehabilitation systems and snake-like robots, earning prestigious awards such as the T.J. Tarn Best Paper Award in Robotics.

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Education 🎓

Post-doctoral Researcher (2009–2014): IEETA, University of Aveiro, Portugal
Post-doctoral Researcher (2008–2009): INSERM U846, Lyon, France
Doctor of Engineering (2002–2007): Shenyang Institute of Automation, Chinese Academy of Sciences, P.R. China
Bachelor of Engineering (1993–1997): Nanjing University of Science and Technology, P.R. China

Experience 💼

2019–Present: Associate Professor, Changshu Institute of Technology, P.R. China
2019–Present: Vice Director, Jiangsu Rudong High-Tech Zone, P.R. China
2016–2018: Head of Robotics Department, Changshu Institute of Technology
2017–Present: Principal Investigator, Intelligent Robot Lab
2019–Present: Director, Rudong Technology Transfer Center

Research Interests 🔬

Dr. Lu focuses on:

Development of service robot technology
Bio-inspired control methods for robots
Robot assistant systems for cerebral palsy rehabilitation
Human-robot interaction and mixed reality systems

Awards 🏆

T.J. Tarn Best Paper Award (2005): IEEE International Conference on Robotics and Biomimetics
Best Paper Award (2007): Chinese Mechanical Engineering Society
Excellent Academic Papers Award (2014–2015): Suzhou Science and Technology Bureau
Chunhui Project (2010): Chinese Ministry of Education

Publications Top Notes: 📚

Dr. Lu has published over 55 scientific papers, including 30 in the last five years, with a citation count of 126. Here are selected publications:

Development of a Virtual Robot Rehabilitation Training System for Children with Cerebral Palsy: An Observational Study

A brief survey of commercial robotic arms for research on manipulation

A COP-based controller for adaptive motion planning of a single-legged robot

Bent leg walking gait design for humanoid robotic child-iCub based on key state switching control

Gaits-transferable CPG controller for a snake-like robot

Zhun Gong | Psychology | Best Researcher Award

Published on 27/12/202427/12/2024 by Popular Scientist

Dr. Zhun Gong | Psychology | Best Researcher Award

professor Qingdao University China

Dr. Zhun Gong is a distinguished professor in the Department of Psychology at the School of Educational Science, Qingdao University, and a master’s supervisor. He is also a visiting scholar at the University of California, Santa Barbara, and actively involved in multiple national and international psychology organizations.

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Education 🎓

Dr. Zhun Gong earned his Ph.D. in Applied Psychology from the University of the Chinese Academy of Sciences. His academic journey has been shaped by a commitment to excellence, leading to significant contributions in psychology and human resource management.

Experience 🏢

With a career spanning academia and research, Dr. Gong serves as a professor at Qingdao University. He is a committee member of the Industrial Psychology Subcommittee of the Chinese Psychological Society and an executive director of the Assessment Professional Committee of the China Human Resource Development Research Association.

Research Interests 🧠

Dr. Gong specializes in Industrial and Organizational Psychology and Internet and Social Psychology. His research explores organizational and individual resilience, emotional intelligence, employee burnout, and the mental health effects of problematic smartphone use and internet addiction.

Awards 🏆

Dr. Gong has been recognized for his academic and professional excellence. His groundbreaking research and contributions to applied psychology have earned him national and international acclaim.

Publications Top Notes: 📚

Dr. Gong has published over 30 academic papers in reputed SSCI and SCI journals and authored 5 works on human resource management. Below are some of his notable publications:

Impact Mechanisms of Organizational Resilience on Employee Performance

Emotional Intelligence as a Buffer Against Burnout

The influence of emotional intelligence on job burnout and job performance: Mediating effect of psychological capital

Effects of personality on risky driving behavior and accident involvement for Chinese drivers

Perceived stress and internet addiction among Chinese college students: mediating effect of procrastination and moderating effect of flow

Are effect sizes in emotional intelligence field declining? A meta-meta analysis

Does resilience help in reducing burnout symptoms among Chinese students? A meta-analysis

Research on the relationship between positive emotions, psychological capital and job burnout in enterprises’ employees: Based on the broaden-and-build theory of positive emotions

Are effect sizes in s elf‐efficacy field changing over time? A m eta–meta analysis

ABDUL SAMI | Engineering | Young Scientist Award

Published on 27/12/202427/12/2024 by Popular Scientist

Mr. ABDUL SAMI | Engineering | Young Scientist Award

Lecturer Numl University Hyderabad Pakistan

Engr. Abdul Sami Shaikh is a seasoned software engineering professional with a diverse portfolio in academia, research, and freelancing. His career is marked by significant contributions to IT education, cutting-edge research, and innovative development practices. Based in Hyderabad, Sindh, Abdul Sami is driven by a passion for leveraging technology to address real-world challenges and enhance learning.

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Education 🎓

Abdul Sami Shaikh has a strong academic foundation with a Master of Engineering in Information and Communication Engineering from Harbin Engineering University, China (2013-2016), achieving an impressive 3.77 CGPA. His undergraduate degree in Computer System Engineering from Mehran University of Engineering and Technology, Jamshoro (2005-2009), laid the groundwork for his technical expertise. Earlier, he pursued Pre-Engineering at Govt. Boys Degree College, Qasimabad, Hyderabad, and completed his schooling at the Model School of Sindh University.

Experience 💼

Abdul Sami has an extensive teaching and research background, having served as a lecturer at Isra University, National University of Modern Languages (NUML), and other prestigious institutions. His professional journey includes roles such as Research Associate at Mehran UET, Program Coordinator for the National Freelance Training Program, and editorial assistant for the Mehran UET Research Journal. He also gained valuable industrial experience through internships with organizations like Sui Southern Gas Company and Microsoft.

Research Interests 🔬

His research focuses on machine learning, data visualization, deep learning, and their applications in healthcare and cybersecurity. He has explored innovative solutions in image analysis, mobile app automation for Industry 4.0, and advanced threat detection systems. Abdul Sami also delves into challenges in spatial crowdsourcing and IoT-based systems.

Awards and Recognitions 🏆

While Abdul Sami has not listed specific awards, his academic and professional milestones, coupled with his impactful publications, position him as a strong candidate for recognition in research and innovation.

Publications Top Notes: 📚

Acoustic Propagation and Transmission Loss Analysis in Shallow Water

Automated Classification of Pneumonia from Chest X-Ray Images using EfficientNet-B0

Geleta Fikadu | Engineering | Best Researcher Award

Published on 24/12/202424/12/2024 by Popular Scientist

Assist. Prof. Dr. Geleta Fikadu | Engineering | Best Researcher Award

Ph.D adama science and Technology university Ethiopia

🎓 Dr. Geleta Fekadu Daba, an accomplished expert in Thermal Engineering, earned his Ph.D. from the prestigious Indian Institute of Technology Roorkee (IITR) in 2020. His career spans academia, research, and engineering innovation, focusing on renewable energy systems and automotive engineering. Currently an Assistant Professor at Wollega University, Ethiopia, Dr. Daba actively contributes to energy-efficient technologies, especially solar-assisted liquid desiccant air conditioning systems.

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Education

🎓 Ph.D. in Thermal Engineering – Indian Institute of Technology Roorkee, India (2020)
🎓 M.Sc. in Automotive Engineering – Adama Science and Technology University, Ethiopia (2013)
🎓 B.Sc. in Automotive Technology – Adama Science and Technology University, Ethiopia (2005)

Professional Experience

🛠 Assistant Professor, Department of Mechanical Engineering, Wollega University, Ethiopia (2015–Present)

Delivered courses on thermodynamics, fluid mechanics, and renewable energy systems.
Supervised graduate students and coordinated departmental research projects.
Led innovative studies on solar energy applications and energy optimization.

Research Interests

🔬 Dr. Daba’s research encompasses renewable energy, automobile engineering, thermodynamics, heat and mass transfer, nano-fluids for heat transfer, and solar energy systems. His work emphasizes practical solutions for sustainable development and energy efficiency.

Awards and Recognition

🏆 Received 33 lac INR funding for his Ph.D. project on solar-assisted liquid desiccant air conditioning from the Department of Science and Technology, India.

Publications

📚 Dr. Daba has published extensively in reputed journals and conferences. Below are selected works with links:

Renewable energy for liquid desiccants air conditioning system: A review

Energy and Exergy Analysis of Marquise Shaped Channel Flat Plate Solar Collector Using Al₂O₃–Water Nanofluid and Water

Comparative performance evaluation of gasoline and its blends with ethanol in gasoline engine

Liquid desiccant air conditioning using single Storage solution tank, evaporative cooling, and marquise-shaped solar collector

Study of Performance of Solar Flat Plate Collector Using Al₂O₃/Water Nanofluids

Experimental Study of Internally− Cooled Dehumidification of Liquid Desiccant for a Single Storage Tank

Energy and Exergy Analysis of Marquise Shaped Channel Flat Plate Solar Collector Using Al2O3–Water Nanofluid and Water

Performance analysis of a compact liquid desiccant cooling system

Weijun Wang | Engineering | Best Researcher Award

Published on 24/12/202424/12/2024 by Popular Scientist

Dr. Weijun Wang | Engineering | Best Researcher Award

Student Changchun University of Technology China

🌟 Weijun Wang (王威珺) is a researcher in the field of Statistics, currently pursuing a Ph.D. at Changchun University of Technology, China. With expertise spanning fault diagnosis, data-driven designs, and dynamic systems, Weijun Wang has made significant contributions to high-speed train traction systems and other advanced engineering applications.

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Education

🎓 Weijun Wang’s academic journey includes:

Ph.D. in Statistics (2021–Present): Changchun University of Technology.
Master’s in Information and Communication Engineering (2018–2021): Changchun University of Technology.
Bachelor’s in Electronic Information Engineering (2014–2018): Changchun University of Technology.

Experience

👩‍🔬 Weijun Wang has extensive experience in developing innovative fault detection methods, dynamic system models, and data-driven algorithms. Collaborating on multidisciplinary projects, she has co-authored several impactful journal and conference papers.

Research Interests

🔬 Weijun Wang’s research focuses on:

Fault detection and diagnosis.
Data-driven modeling for high-speed train traction systems.
Dynamic systems, robust designs, and performance prediction.

Awards

🏆 First Prize: National Finals at RAICOM, 2024.
🏅 Innovation Award: 3rd China Urban Rail Transit Science and Technology Innovation Competition, 2022.

Publications

A Martingale Posterior-Based Fault Detection and Estimation Method for Electrical Systems of Industry

Dynamic Fault Detection Method of Traction Systems in High-Speed Trains Based on Joint Observer

Data-Driven Robust Designs of Performance Prediction and Its Application in High-speed Trains

Enhanced Fault Diagnosis Using Broad Learning for Traction Systems in High-Speed Trains

State Estimation with Partial Random Walk

State-degradation-oriented fault diagnosis for high-speed train running gears system

Fault prediction of high-speed train running gears based on hidden markov model and analytic hierarchy process

Multi-sensor system filtering and fault detection under unbiased constraint and colored measurement noise

ELENI MAGIRA | Health Professions | Best Researcher Award

Published on 23/12/202423/12/2024 by Popular Scientist

Prof. Dr. ELENI MAGIRA | Health Professions | Best Researcher Award

HOSPITAL NATIONAL KAPODISTRIAN UNIVERISTY OF ATHENS Greece

Dr. Eleni Magira, MD, PhD, is a distinguished Professor in the 1st Department of Critical Care at Evangelismos Hospital, National and Kapodistrian University of Athens, Greece. With extensive experience in internal medicine and critical care, she is an accomplished researcher, educator, and medical practitioner dedicated to advancing immunogenetics and infectious disease care.

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🎓 Education

MD (1996): Aristotle University of Thessaloniki Medical School, Greece.
PhD (2008): University of Athens Medical School. Thesis: Immunogenetics aspects of Pulmonary Tuberculosis in the Greek Population.

💼 Experience

1996-1997: General Physician, Primary Care Center, Greece.
1998-2000: Post-Doctoral Fellow, Immunogenetics Lab, University of Pennsylvania, USA.
2000-2005: Resident in Internal Medicine, Evangelismos General Hospital, Athens.
2017-2018: Fulbright Visiting Scholar, MD Anderson Cancer Center, Texas, USA.
2024-Present: Professor, Evangelismos Hospital, University of Athens.

🔬 Research Interests

Immunogenetics of infectious diseases, particularly pulmonary tuberculosis.
Fungal infections and their intersection with SARS-CoV-2.
Clinical epidemiology of invasive pulmonary aspergillosis in immunocompromised patients.

🏆 Awards

2002: Travel Award, Federation of European Societies of Chemotherapy and Infection.
2004: Travel Award, American Society of Histocompatibility and Immunogenetics.
2002-2004: Recognition for contributions in immunogenetics and histocompatibility research.