Aljaz Hojski | Vision Sensing | Best Researcher

Dr. Aljaz Hojski | Vision Sensing | Best Researcher

Dr. Aljaz Hojski | Vision Sensing | Cadre doctor at Universitätspital Basel | Switzerland

Dr. Aljaz Hojski is a highly respected thoracic surgeon and clinical researcher, currently affiliated with Universitätspital Basel. With a strong focus on surgical innovation and patient-centered care, his contributions in minimally invasive thoracic procedures and oncological surgery have gained widespread recognition across academic and clinical communities. His medical background is complemented by an extensive portfolio of scientific publications, collaborative research initiatives, and active peer-review responsibilities in high-impact journals. A committed academician and practicing consultant, Dr. Hojski is known for bridging the gap between clinical application and evidence-based research, especially in lung cancer management, thoracic trauma, and postoperative pain optimization.

Academic Profile:

ORCID

Scopus

Education:

Dr. Hojski obtained his foundational medical education at the University of Ljubljana, where he developed a keen interest in thoracic medicine and surgical procedures. His education included comprehensive training in general medicine, with progressive specialization in thoracic surgery during his clinical rotations and postgraduate residency programs. Throughout his academic journey, he emphasized scientific inquiry alongside clinical excellence, engaging in laboratory-based research and hospital-based surgical trials. This dual focus on science and surgery established a strong platform for his later contributions to applied clinical research and international collaborations in minimally invasive thoracic techniques.

Experience:

Dr. Hojski currently serves in a senior consultant role within the Department of Thoracic Surgery at Universitätspital Basel, a leading center for cardiothoracic care and research in Europe. He is actively involved in surgical planning, patient care, and mentoring junior clinicians. In addition to his clinical duties, he contributes to institutional and multicenter research protocols aimed at improving perioperative outcomes and refining surgical strategies. His professional experience spans diverse domains including advanced thoracoscopic resections, surgical pain management, and postoperative complication risk stratification. Dr. Hojski’s extensive collaborations with multidisciplinary teams, including radiologists, anesthesiologists, and oncologists, have enabled the successful translation of academic research into clinical best practices.

Research Interest:

Dr. Hojski’s primary research interests include thoracic oncology surgery, 3D imaging and surgical planning, postoperative pain control strategies, and risk prediction in lung resection patients. He has been an investigator and co-investigator on several funded research projects focused on optimizing pain therapy following minimally invasive lung operations, and the development of advanced imaging tools for segmental lung function assessment. His research also extends into clinical outcome analysis, where he contributes to developing predictive models for surgical complications and evaluating the effectiveness of new procedural technologies. His interdisciplinary approach enables him to align clinical insight with scientific rigor in solving real-world surgical challenges.

Awards:

Dr. Hojski has been nominated for several recognitions in the field of medical science and thoracic surgery, reflecting his continued impact on both clinical advancement and scientific contribution. His research output and leadership have earned him invitations to present at international symposia, while his peer-reviewed publications and service as a reviewer demonstrate his influence in academic publishing. He remains committed to excellence in both operative care and medical scholarship, making him a compelling nominee for awards that celebrate high-impact contributions to science and medicine.

Selected Publications:

  • Estimating Postoperative Lung Function Using Three-Dimensional Segmental HRCT-Reconstruction: A Retrospective Pilot Study on Right Upper Lobe Resections, 2025, 60 citations

  • Perioperative Intravenous Lidocaine in Thoracoscopic Surgery for Improved Postoperative Pain Control: A Randomized, Placebo-Controlled, Double-Blind, Superiority Trial, 2024, 85 citations

  • Planning Thoracoscopic Segmentectomies with 3-Dimensional Reconstruction Software Improves Outcomes, 2025, 45 citations

  • A Risk Score to Predict Postoperative Complications in Patients with Resectable Non-Small Cell Lung Cancer, 2025, 50 citations

Conclusion:

Dr. Aljaz Hojski represents the ideal candidate for prestigious international research recognition, owing to his consistent contributions to thoracic surgery, clinical research, and interdisciplinary innovation. Through a well-balanced integration of surgical expertise, scientific research, and professional leadership, he has advanced both patient care and academic knowledge in thoracic medicine. His published works continue to shape protocols and influence best practices within surgical communities globally. As a forward-looking clinician-scientist, Dr. Hojski is well-positioned to lead future developments in thoracic healthcare and surgical outcomes research, making him a deserving nominee for awards that honor excellence in clinical and academic medical sciences.

 

 

Prof. Fengyun Cao | Computer Vision Awards | Excellence in Research Award

Prof. Fengyun Cao | Computer Vision Awards | Excellence in Research Award 

Prof. Fengyun Cao, Hefei Normal University, China

Dr. Cao Fengyun is an Associate Professor and Master’s Supervisor at the School of Computer and Artificial Intelligence, Hefei Normal University, where she also serves as Director of the Department of Computer Science and Technology. Her primary research interests include digital image processing, computer vision, and artificial intelligence. Dr. Cao is a member of the Image Application and System Integration Committee of the Chinese Image and Graphics Society and serves on the young editorial board of the international journal INSTRUMENTATION. She is also a reviewer for numerous prestigious journals such as IEEE/CAA Journal of Automatica Sinica, Scientific Reports, and The Journal of Supercomputing. She currently holds the position of Vice President of Science and Technology at the Medical Artificial Intelligence Technology R&D Center, Hefei Innovation Institute. Over the years, she has led various funded research projects, including those focused on depth estimation, remote sensing, and smart control systems. Dr. Cao has authored several high-impact papers and holds 10 authorized invention patents, along with multiple software copyrights and integrated circuit layout designs. Her work has earned her accolades including the “Research Star” award and third prize in the Anhui Province Science and Technology Awards. She has also contributed to the development of local standards in smart systems and information monitoring.

Professional Profile:

SCOPUS

Summary of Suitability:

Dr. Cao Fengyun, an Associate Professor and Director of the Department of Computer Science and Technology at the School of Computer and Artificial Intelligence, Hefei Normal University, is a highly accomplished researcher with a proven track record in digital image processing, computer vision, and artificial intelligence. His outstanding contributions to both theoretical advancements and practical innovations make him an excellent candidate for the Excellence in Research Award.

🎓 Education & Work Experience

  • 👨‍🏫 Teaching Assistant
    School of Computer Science, Hefei Normal University
    📅 June 2013 – November 2017

  • 👨‍🏫 Lecturer
    School of Computer Science, Hefei Normal University
    📅 December 2017 – December 2022

  • 👩‍🏫 Associate Professor
    School of Computer and Artificial Intelligence, Hefei Normal University
    📅 January 2023 – Present

  • 🧠 Vice President of Science and Technology
    Medical AI Technology R&D Center, Hefei Innovation Institute
    📅 November 2024 – Present

🏆 Achievements

  • 📚 Research Areas:
    Digital Image Processing, Computer Vision, Artificial Intelligence

  • 🧪 Research Projects (Host):

    • 🔍 Magnetic Tile Surface Defect Detection (2024–2025)

    • 🤖 Monocular Image Depth Estimation using Deep CNN (2019–2020)

    • 🖼 Single Image Depth Restoration via Low-level Features

    • 🌩 Cloud Tech for Remote Sensing Image Thinning (2018–2019)

    • 🔧 Smart Fire Protection Water Supply System (2025)

    • 📡 High Performance Frequency Hopping Filter Development

    • Intelligent Control System for Power Distribution Cabinet (2021)

    • 🔋 Smart-LW Charging Operation and Maintenance System

    • 🧠 Graph Neural Network Intelligent Computing System (Ranked 3rd)

    • 🌐 IoT Equipment Remote Upgrade System (2021)

  • 📄 Representative Papers:

    • Electric Bike Testing DatasetAlexandria Engineering Journal (2024, SCI Zone II TOP)

    • 🎯 YOLOv7-based Anti-target DetectionTraitement du Signal (2023, SCI)

    • 🧩 PCB Defect Recognition via Bi-directional Feature ExtractionJournal of Wuhan University of Technology

    • 🖌 Edge Blur Estimation for Depth RestorationJournal of Computers

    • 🧠 Image Segmentation and Depth RecoveryJournal of Chinese Image and Graphics

  • 💡 Intellectual Property:

    • 🔬 Invention Patents: 10 (Ranked 1st to 8th) – covering intelligent factories, robotic arms, IoT, and image processing

    • 💻 Software Copyrights: 3 (First author)

    • 🧿 Integrated Circuit Layout Designs: 2 (One authored by him)

🥇 Awards & Honors

  • 🌟 HefeiNormal University Research Star, 2022

  • 🥉 Third Prize – Natural Science Award (Host), Hefei Normal University, 202X

  • 🥉 Third Prize – Anhui Province Science and Technology Award (Ranked 4th), 2021

  • 🏅 Excellence in Science & Technology Progress, Anhui Provincial Computer Society (1st Rank), 2021

Publication Top Notes:

Optimization of the Pure Pursuit algorithm based on real-time error