Madan Baduwal

My journey began with a deep fascination for physics, chemistry, and biology-further inspired by philosophy, psychology, cognitive science, and neuroscience,-and a desire to understand the fundamental rules of nature and to solve meaningful problems across domains such as healthcare / medicine, engineering, entertainment, agriculture, social computing, economics & finance….

I am currently pursuing a Ph.D. in Computer Science at Mississippi State University (MSU), where my research spans signal processing, algorithms, machine learning, wireless communications, and robotics. Previously, I served as a Graduate Research Assistant at the University of Texas Permian Basin (UTPB) under the supervision of Prof. Quan Yuan while completing my Master’s degree in Computer Science. I hold a Bachelor’s degree in Computer Engineering from Tribhuvan University, where I worked under the guidance of Prof. Sanjeev Prasad Panday. I have also had the opportunity to collaborate with Mahabir Pun on vision robotics.

English, mathematics, and computer science (CS) soon became the languages through which I explored this curiosity. Today, I use Mathematics (sets, linear algebra, calculus, probability & statistics) and Computer Science (algorithms, machine learning, system design) to explore nature’s principles and develop intelligent systems that solve real-world problems across domains.

I approach problem-solving in three steps(Divide any task into small functional/module):

Input Space

• Mathematics: represent any kind of data into Scalar, Vector, Matrix, Tensor, Set, Sequence, Tree, Graph, Point, Manifold, Metric Space, Distribution, Random Variable, Logic, Language, Knowledge Graph, Relation, Table, Topological Space, Simplicial Complex, Group, Ring, Field, Category, Morphism. (-infinity … 0 … +infinity)
• Computer Science: store it in data structures like list, dictionary, set, tuple… or finally in bits (e.g., 100101)

Processing

• Mathematics: apply functions (+, -, *, /, etc.)
• Computer Science: apply algorithms to the input space

Output Space

• Mathematics: represent any kind of data into Scalar, Vector, Matrix, Tensor, Set, Sequence, Tree, Graph, Point, Manifold, Metric Space, Distribution, Random Variable, Logic, Language, Knowledge Graph, Relation, Table, Topological Space, Simplicial Complex, Group, Ring, Field, Category, Morphism. (-infinity… 0 … +infinity)
• Computer Science: store it in data structures like list, dictionary, set, tuple… or finally in bits (e.g., 100101)

Goal-1: Find unified theory of everything(TOE) / unified architecture / algorithm of everything(AoE) that captures patterns / representation / Features / Attributes / Descriptors across Observation / Data / Modalities(fields, states > information > Signal: audio, image, video, sensor data… Abstract: text, code, math equations, database entries…), tasks(perception, reasoning, planning, action…), learning(supervised, unsupervised, reinforcement…): over / across time-space / spatio-temporal.

Goal-2: Specialized robots / agents(Mathematical Modeling of Humans / Animals : Cognition Neuroscience, Computer Science, Robotics): Multimodal: Perception / Observation / Understanding, Word Model / State Representation, Memory, Goal / Objective / Reasoning / Planning / Configurator / Path planning / Decision-Making / Policy / Governance and Guardrails, Orchestration and Communication, Tool Interference / Act / Control & Manipulation / Action/Actuation: Feedback / Observation Loop / Reflection / Self-Monitoring, Learning / Continual learning / Active learning / Reinforcement / Adaptation. My ultimate vision is to create specialized robots / agents capable of investigating the fundamental laws of nature and addressing the challenges faced by living beings. In short: Specialized robots / agents loop: Multimodal: Perception → Reasoning → Action → Learning

Goal-3: Prove Goal-1 and Goal-2 (Statements)

If you’re interested in discussing research or potential collaborations, feel free to connect with me on LinkedIn or Twitter, or reach out via email at madanbaduwal100@gmail.com.