I am a Research Scientist at the CAMMA lab in IHU Strasbourg, where I focus on Surgical Data Science. My work bridges the gap between computer vision, machine learning, and surgical video analysis. I hold a Ph.D. in Computer Science from the University of Strasbourg, where I worked under the mentorship of Prof. Nicolas Padoy. My research centered on unsupervised domain adaptation for human pose estimation in the operating room. Prior to this, I contributed to the development of physical and virtual reality simulators for neurosurgical skill evaluation at the NETS lab, All-India Institute of Medical Science, Delhi, and the Indian Institute of Technology, Delhi.

• 🌍 Personal Website: vinkle.github.io
• 📚 Google Scholar: 🔗Profile
• 👔 LinkedIn: 🔗Connect

My research spans a wide range of topics at the intersection of computer vision, machine learning, and healthcare. Here are some of my key areas of interest:

• 🔬 Surgical Data Science
• 🖼️ 3D Medical Image Analysis
• 🤖 Multi-modal Pre-training
• 👤 Multi-view 3D Human Pose Estimation
• 🎓 Self-supervised Learning
• 🩺 Surgical Activity Recognition
• 🧠 Scientific Machine Learning
• 🖥️ Scientific Simulation

IHU Strasbourg, University of Strasbourg
📅 2022 – Ongoing | 📍 Strasbourg, France

• Doing research in surgical data science within the CAMMA group.
• Mentoring PhD students and interns.
• Developing educational modules to disseminate knowledge in surgical data science.

Dept. of Neurosurgery, AIIMS
📅 2012 – 2017 | 📍 Delhi, India

• Developed a cost-effective Neuro-Endo-Trainer with real-time video evaluation using computer vision.
• Created VR training modules for neuroendoscopy with haptic feedback.
• Supported the development of an e-learning platform for neurosurgery education.

Sitarasoft
📅 2011 – 2012 | 📍 Delhi, India

• Lead programmer for scientific visualization in reservoir modeling projects.
• Expertise in image processing, OCR, and number plate recognition.

University of Strasbourg, France
📅 2018 – 2021

• Thesis: Unsupervised Domain Adaptation Approaches for Person Localization in the Operating Rooms
• Research Areas: Human pose estimation, unsupervised domain adaptation, self-supervised learning, privacy-preservation.
• Thesis Directors: Prof. Nicolas Padoy, Prof. Afshin Gangi
• Thesis Committee: Prof. Gregory Hager, Prof. Slobodan Ilic, Prof. Vasileios Belagiannis, Prof. Michel de Mathelin

Indian Institute of Technology, Delhi, India
📅 2014 – 2017

• Thesis: Computerized evaluation of neurosurgery skills using image processing and computer vision techniques
• Thesis Directors: Prof. Prem Kalra, Prof. Ashish Suri
• CGPA: 9.3/10

Punjab Technical University, Jalandhar, India
📅 2007 – 2011

• Division: First with Distinction
• Percentage: 85%

• Neural and Deep Networks Learning, D. Alapatt, P. Mascagni, V. Srivastav, and N. Padoy, (McGraw Hill Professional, 2021)

• Neuro-endoscope box trainer (US Patent 10,902,745, Jan. 2021)
• Neuro-drill-stencil trainer (US Patent App. 15/517,773, Nov. 2017)

• Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room, V. Srivastav, A. Gangi, and N. Padoy (Medical Image Analysis, 2022)
• Dissecting self-supervised learning methods for surgical computer vision, S. Ramesh, V. Srivastav, D. Alapatt, et al., (Medical Image Analysis, 2023)
• Advancing surgical VQA with scene graph knowledge, K. Yuan, M. Kattel, J. L. Lavanchy, N. Navab, V. Srivastav, and N. Padoy, (IJCARS, 2024)

• Human pose estimation on privacy‐preserving low‐resolution depth images, V. Srivastav, A. Gangi, and N. Padoy, (MICCAI 2019)
• Self‐supervision on unlabelled or data for multi‐person 2d/3d human pose estimation, V. Srivastav, A. Gangi, and N. Padoy, (MICCAI 2020)
• Jumpstarting surgical computer vision, D. Alapatt, A. Murali, V. Srivastav, A. Consortium, P. Mascagni, and N. Padoy, (MICCAI, 2024)

🔗 All Publications: Google Scholar

C 🖥️ | C++ 🖥️ | Python 🐍 | Matlab 📊

PyTorch 🔥 | TensorFlow 🧠

OpenCV 📷 | Armadillo 🦾 | MathGL 📈 | OpenGL 🎮 | ITK 🏥 | VTK 🏥 | VEGA FEM 🏗️ | Chai-3D 🎮

MySQL 🐬 | SQLite 🗃️

LaTeX 📄 | Unity 3D 🎮 | Blender 🎨 | MeshLab 🖌️ | 3D Slicer 🏥 | ITK-Snap 🏥 | CMake 🛠️

HTML 📄 | CSS 🎨 | JavaScript 🕹️ | Joomla 🌐 | Moodle 🎓 | OpenEdx 🎓 | GitHub Pages 🐙 | Vite ⚡ | Jekyll 🛠️ | Hugo 🛠️

Arduino 🔌 | Raspberry Pi 🍓

• 🏅 IPCAI 2024 - Best paper award (co-author)
• 🥈 IPCAI 2019 - Runner-up award in the bench-to-bedside category (co-author)

🔗 Website: vinkle.github.io