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.

 

 

Dr. Nataraj Vijapur | Digital Imaging Awards | Best Researcher Award

Dr. Nataraj Vijapur | Digital Imaging Awards | Best Researcher Award

Dr. Nataraj Vijapur, RV Institute of Technology and Management, India

Dr. Nataraj Vijapur is an accomplished academic with over 22 years of teaching experience in Electrical and Electronics Engineering. He is currently serving as the Head of the Department of Electronics and Communication Engineering at RV Institute of Technology and Management in Bangalore since September 2020. Prior to this role, Dr. Vijapur spent 16 years at KLE Dr. M. S. Sheshgiri College of Engineering and Technology in Karnataka, where he held various positions, including Associate Professor and PG Coordinator. He completed his Ph.D. at Visvesvaraya Technological University in 2017, focusing on “Efficient Glaucoma Detection based on Image Processing Techniques.” Dr. Vijapur also holds a Master of Technology in VLSI Design and Embedded Systems and a Bachelor of Engineering in Electronics and Communication, both from Visvesvaraya Technological University and Karnataka University, respectively. His commitment to advancing engineering education is reflected in his extensive academic and administrative contributions throughout his career.

Professional Profile:

SCOPUS

Summary of Suitability for the Research for Best Researcher Award: 

Dr. Nataraj Vijapur is a highly qualified and experienced academic with over 22 years of teaching and research experience in Electrical and Electronics Engineering. His extensive career spans several reputable institutions, including the RV Institute of Technology and Management and KLE Dr. M. S. Sheshgiri College of Engineering & Technology. Throughout his career, he has held various positions, demonstrating leadership and commitment to academic excellence, notably as the Head of the Department of ECE at his current institution.

Education 🎓

  1. Ph.D. in Electrical & Electronics Engineering
    Visvesvaraya Technological University, Karnataka, India
    Thesis: “Efficient Glaucoma Detection based on Image Processing Techniques”
    Completed: June 28, 2017
  2. Master of Technology in VLSI Design & Embedded Systems
    Visvesvaraya Technological University, Karnataka, India
    CGPA: 8.68
    Completed: 2009
  3. Bachelor of Engineering in Electronics & Communication
    Karnataka University, Karnataka, India
    Distinction: 71.00%
    Completed: 2001
  4. Pre-University Graduation (PCM)
    PU Board, Karnataka, India
    Percentage: 81.00%
    Completed: 1997
  5. S.S.L.C. (10th Grade)
    Karnataka State Board, Karnataka, India
    Percentage: 81.92%
    Completed: 1995

Work Experience 💼

  • Head of Department of ECE
    RV Institute of Technology and Management, Bangalore
    2024 – Present
  • Associate Professor, PG Coordinator, Department NBA Coordinator
    KLE Dr. M. S. Sheshgiri College of Engineering & Technology, Karnataka, India
    2016 – 2020
  • Assistant Professor
    KLE Dr. M. S. Sheshgiri College of Engineering & Technology, Karnataka, India
    2010 – 2016
  • Senior Lecturer
    KLE Dr. M. S. Sheshgiri College of Engineering & Technology, Karnataka, India
    2010
  • Lecturer
    KLE Dr. M. S. Sheshgiri College of Engineering & Technology, Karnataka, India
    2004
  • Lecturer
    Karnataka Law Society’s Vasantrao Potdar Polytechnic, Belagavi, Karnataka, India
    January 20, 2003 – April 18, 2003 & July 1, 2003 – March 22, 2004

Achievements 🏆

  • Developed innovative image processing techniques for glaucoma detection.
  • Contributed significantly to curriculum development and academic program coordination in engineering.
  • Led various departmental initiatives and projects aimed at enhancing student learning experiences.

Awards and Honors 🎖️

  • Recipient of the Best Research Paper Award at the National Conference on Emerging Technologies, 2018.
  • Outstanding Faculty Award for excellence in teaching and contribution to student development, 2019.
  • Scholarship for academic excellence during Master’s program at Visvesvaraya Technological University.

Publication Top Notes:

Levenberg-Marquardt-optimized neural network for rainfall forecasting

DRN-DSA: A hybrid deep learning network model for precipitation nowcasting using time series data

A Simple and Flexible Higher-order 2D Triangle Mesh Generator with MATLAB

IOT and Embedded Based Smart Baby Cradle

A versatile cubic-curved triangle mesh generator using subparametric transformation for FEM and image processing applications

Ms. Maryam Moshrefizadeh | Computer Vision Awards | Best Researcher Award

Ms. Maryam Moshrefizadeh | Computer Vision Awards | Best Researcher Award 

Ms. Maryam Moshrefizadeh, Siant Louis University, United States

Maryam Moshrefizadeh is a Ph.D. student in Computer Science at Saint Louis University, with previous experience as a Graduate Research Assistant at South Dakota State University. She holds a Master’s degree in Artificial Intelligence from Amirkabir University of Technology and a Bachelor’s degree in Computer Software Engineering from K. N. Toosi University of Technology, both in Tehran, Iran. Maryam’s research interests lie in computer vision, deep learning, and machine learning. Professionally, she has worked as an AI researcher and developer, including roles at DRNEXT.IR, Payesh24, and Cobenefit, where she contributed to the development of AI-driven platforms, machine learning models, and website functionality. She has a strong technical background in programming languages like Python, JavaScript, and C, as well as expertise in frameworks and tools like PyTorch, TensorFlow, Vue.js, and Docker. Maryam is fluent in English and Persian and is passionate about mountaineering, cycling, photography, and outdoor activities.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Maryam Moshrefizadeh is a promising and highly capable PhD student with extensive experience and research contributions in the field of Artificial Intelligence (AI), Machine Learning (ML), and Computer Vision. Her academic background, practical work experience, and emerging research output position her as an excellent candidate for the Best Researcher Award.

Education

🎓 Saint Louis University
Ph.D. | Graduate Research Assistant | Computer Science
📅 Jan 2024 ‑ Dec 2028 | St. Louis, MO, USA

🎓 South Dakota State University
Ph.D. | Graduate Research Assistant | Computer Science
📅 Aug 2022 ‑ Dec 2023 | Brookings, SD, USA

🎓 Amirkabir University of Technology (Polytechnic)
M.S. in Artificial Intelligence
📅 Jan 2014 ‑ Sept 2017 | Tehran, Iran

🎓 K. N. Toosi University of Technology
B.S. in Computer Software Engineering
📅 Sept 2009 ‑ Aug 2013 | Tehran, Iran

Work Experience

💼 DrNext.ir | Developer and AI Researcher
📅 Nov 2020 – Present
• Developed prescription writing notepad allowing doctors to type or use a pen 🖊️
• Implemented features for appointment scheduling and clinic reception handling 🗓️
• Worked in an agile team with Kanban, Scrum, Jira, and Git 🔧

💼 Payesh24 | AI Engineer
📅 Nov 2017 – Jul 2020
• Researched and implemented various AI algorithms and machine learning models 🤖
• Worked with supervised and unsupervised learning algorithms such as SVM and KNN 📊

💼 BeFine | Developer
📅 Apr 2006 – Feb 2009
• Developed and maintained website for diabetic products and information 💻
• Shared health tips and updates on diabetes 🩺

💼 Cobenefit Developer | Remote
📅 Oct 2021 – Present
• Develop and maintain websites using Vue.js, ES6, HTML5, CSS3, and SASS 🌐

Research Interests

🔍 Computer Vision | 🤖 Deep Learning | 📚 Machine Learning

Publication Top Notes

EC-WAMI: Event Camera-Based Pose Optimization in Remote Sensing and Wide-Area Motion Imagery

Multimodal Fusion of Heterogeneous Representations for Anomaly Classification in Satellite Imagery