Uma Ranjan

About Uma Ranjan

I am inter-disciplinary by training, curious by nature, and business savvy by choice. I bring out-of-the-box thinking combined with deep expertise into everything I do. By challenging limiting assumptions, I have helped teams and businesses grow across multiple domains. By helping teams strengthen domain expertise while being customer-centric, I have propelled them to high performance and innovation in existing product lines as well completely new ones. By demanding high standards while being compassionate, I have mentored people to grow both in large companies as well as in fledgling startups.I have a deep understanding of the automotive industry, having worked on vehicle dynamics, occupant safety and accident-free driving for autonomous vehicles.I built from scratch a team whose products secure transactions on more than 5 billion phones, along with conceptualising and building an entire Trust Module for mobile devices.The teams I built have fruitful collaborations with clinicians across the world, and enable quantitative insights in diagnosis and therapeutic decisions. I continue to contribute to the Quantitative Imaging Biomarker Alliance, an initiative to bring accuracy and predictability into clinical imaging. I was part of the research team at the Indian Institute of Science, which pioneered machine learning. My early training there helps me look at learning systems in a very fundamental way, treating data as an integral part of everything I do and analytics as a natural way of solution. I build partnerships based on mutual respect. I look forward to working with you if you want someone who- Wants to solve big problems, touching people\'s lives- Has a curious mind and can mentor people to break out of their mould- Has an ability to connect with people, building bridges across domains- Can create surprising insights based on a strong math and technology foundation- Is constantly experimenting both at a domain and technology level

Experience

1. Professor of Practice

   Iit Jammu

   Feb 2025 — Present

Education

• RPTU Kaiserslautern-Landau

  DAAD fellowship

  1997 — 1998

• Indian Institute of Science (IISc)

  Ph.D, Image Processing

  1992 — 1998

• Indian Institute of Science (IISc)

  M.Sc (Engg), Image Processing

  1990 — 1992

• Thiagarajar College of Engineering

  B.E., Electronics and Communication

  1986 — 1990

Skills

• Research and Development (R&D)
• Biomedical Engineering
• R&D
• Research
• Machine Learning
• Product Development
• Embedded Systems
• Digital Signal Processors
• Software Development
• Security Technologies and Embedded Systems
• Computer Vision
• Product Strategy
• Medical Devices
• C
• Signal Processing
• Pattern Recognition
• Technical Management and Leadership
• Device Drivers
• Algorithms
• Software Engineering
• Medical Imaging
• Mathematical Modeling
• Product Management
• Image Processing
• Management
• Mathematical Biology