Academic Journey

🎓 Doctoral Degree (2015-2020)

• Ph.D. in Electrical Engineering
  Indian Institute of Technology (IIT) Kanpur, India (Dec 2015 - Feb 2020)
  Specialization: Signal Processing, Communications & Networks
  Supervisor: Prof. Vinay P. Namboodiri
  Thesis: Towards Understanding Vision and Language Systems: Controllability, Uncertainty & Interpretability for VQA and VQG
  🏆 Award: Best Doctoral Dissertation Award by IUPRAI at ICVGIP 2020

🎓 Master's Degree (2009-2012)

• M.Tech. in Electrical Engineering
  Indian Institute of Technology (IIT) Bombay, India (Aug 2009 - July 2012)
  Specialization: Communication & Signal Processing
  Supervisor: Prof. V. Rajbabu
  Thesis: Real-Time Video and Image Processing for Object Tracking using DaVinci Processor

🎓 Bachelor's Degree (2003-2007)

• B.Tech. in Electronics & Telecommunication Engineering
  National Institute of Science and Technology (NIST), Brahmapur, Odisha, India (2003 - 2007)
  Supervisor: Prof. Rakesh Roshan
  Project: Bit Error Rate Analysis of Multi-Carrier CDMA

📚 Doctoral Course Work (IIT Kanpur)

• Computer Vision and Image Processing - Advanced techniques in visual perception and image analysis

• Video Signal Processing - Temporal processing and video understanding

• Speech Signal Processing - Audio processing and speech recognition

• Selected Topics of Image Processing - Cutting-edge research in imaging

📚 Master's Course Work (IIT Bombay)

• Digital Signal Processing - Core DSP algorithms and implementation

• Adaptive Signal Processing - Real-time adaptive filtering techniques

• Statistical Signal Analysis - Stochastic processes and estimation theory

• Image Processing - Fundamentals of digital image processing

• Wavelets Transform - Multi-resolution analysis and applications

• Embedded System Design - Hardware-software co-design

• Applied Linear Algebra - Mathematical foundations for signal processing

• Information Theory & Coding - Entropy, compression, and error correction

• Introduction to Communication Networks - Network protocols and architectures

• Radiating Systems - Antenna theory and electromagnetic waves

• Hardware Description Languages - Verilog & VHDL for FPGA/ASIC design

💻 Online Courses & Certifications

• CS231n: Convolutional Neural Networks for Visual Recognition
  Instructor: Andrej Karpathy, Stanford University

• CS224d: Deep Learning for Natural Language Processing
  Instructor: Richard Socher, Stanford University

• Deep Learning
  Instructor: Nando de Freitas, University of Oxford

• Fundamentals of Computer Vision
  Instructor: Mubarak Shah, University of Central Florida

📖 Audit Courses (IIT Kanpur)

• CS671: Introduction to Natural Language Processing - Text processing and language models

• CS771: Introduction to Machine Learning and Probabilistic Modeling - Statistical learning theory

• CS774: Optimization Techniques - Convex optimization and numerical methods