Current Affiliations

Pro-bono Activities

  • Vice-coordinator - QResearch; QWorld Association; Talinn; Estonia
  • Research lead - Quantum algorithms; QBee; Belgium
  • Steering committee - QIndia; India


Current Projects

  • Applications of Quantum Computation and Algorithmic Information - for causal modeling in genomics and reinforcement learning (Ph.D. dissertation)
  • Evolutionary quines of gene expressions for recursive self-improving systems
  • Embedded participatory observers in causal sets within conformal fields
  • Causality driven machine learning for bioinformatics

… interested in a research collaboration (or master’s thesis) within QCA/QML team on related topics? Contact me over LinkedIn.

Research Questions

I am primarily devoted in finding clues to:

  • Why is the Universe computable? - the extraordinary effectiveness of AIT techniques like Solomonoff induction is based on just one assumption: the Universe is computable by a universal Turing machine. Why so? Why do the Church-Turing thesis hold? What does that tell us of the nature of our physical laws, or of the scientific method? Why do simple programs give rise to complex behavior? Is comprehension by compression and uncomputability of universal automata two sides of the same coin? Is everything relative to a partial trace or course-graining? Is truth relational? The ubiquity of universality and the computational reducibility self-referential? Does a Markov blanket automatically give rise to a probability distribution of Bayesian beliefs and information geometry? Is a non-anthropocentrism viewpoint possible?
  • Is there a computational action? - the action in Lagrangian in physics is fundamental to many core theories and look very similar to computational and algorithmic complexity - Are they? What roles do the computational resources play? What is the relation between computational, algorithmic complexity and thermodynamics? Can locality and causality be violated?

Research Themes

Research themes evolve over time. Some of my current core interests are:

  • Algorithmic Information - experimental algorithmic information theory; computational complexity phase change behavior; relations between expressibility-reachability-learnability-universality; description complexity; fractals; …read more
  • Artificial Intelligence - universal artificial general intelligence; recursive self-improvement; universal constructors; explainable neural networks; neuro-evolution; neuro-symbolic AI; cellular automata rule learning; algorithmic perturbation analysis; do-calculus …read more
  • Quantum Computation - quantum Hamiltonian complexity; quantum learning theory; quantum complexity geometry; quantum information; quantum swarm intelligence; tensor networks; holographic quantum circuit complexity; Hamiltonian complexity; Feynman checkerboard QFT …read more
  • Bioinformatics - in silico design space exploration for xenobiology; artificial life; synthetic biology; causal models of gene regulatory network; self-replicating RNA medicines

Here’s a visual that captures the most important topics:

Interest 2021

Past Projects

(in reverse chronological order)

  • Quantum Knowledge Seeking Agent … read more
  • Near-term quantum optimization and learning algorithms
  • Spiking neural network based associative memory neuro-evolution
  • Quantum algorithms for pattern-matching in genomic sequences (M.Sc. thesis)
  • Quantum Innovation Environment (QuInE), a PyQT based IDE for quantum programming
  • Brain-inspired robotic mapping and navigation using time-series of hexagonal grid and place cells
  • System design of warehouse automation using multi-agent collaborative box-pushing strategies
  • Human brain simulation in GPU with Inferior Olive model in OpenCL and CUDA
  • GATK based human genome sequencing for distributed Spark platform in Scala
  • Fuzzing and concolic execution on RERS-2016 problems using AFL and KLEE
  • Optimizing a SoC using ρ-VEX VLIW processors
  • Enhancing the Plasma processor IP core
  • Accelerating object tracking in OMAP3530 application processor
  • Solar energy forecasting using ORCA system
  • Earthquake occurrence analysis and aftershock prediction using MATLAB and Tableau
  • Elevation mapping using stereo vision enabled heterogeneous multi-agent network (B.Tech. thesis)
  • Computer vision based centralized multi-agent system on MATLAB and Arduino
  • Self-configuring classical logic gate circuits using genetic programming in Java
  • Multi-vehicle path planning in dynamically changing environments using genetic optimised TSP


Find my latest presentations and videos here.

Curriculum vitae

Find my curriculum vitae here.

Mind Map

… of all things I live to keep myself updated about, and associated contributor to those ideas,…

The blue boxes and their 1-hop neighbours are my core interests.

Mind map

I tried finding my core interests in the Domain of Science charts. I eventually figured that most of my core interests lie in the field of computer science. The interests within physics, mathematics, and biology reflect the topics in computer science. Here’s the result:

CS interests

Blogs to follow

On the shoulder of giants

(Created Jul 23, 2019) (Updated Apr 10, 2022)

I have been deeply inspired by many giants in the scientific community. I hold them in the highest regard for either their thoughts well resonate with mine or their propositions fuel my neural engines. While unification has been the holy grail for too long, I find clues lurking in the works of these great men.

…and among those who are still around

… the list keeps growing as the horizon of my knowledge widens.

Some researchers I follow very closely for my research.

  • Marcus Hutter - Universal artificial general intelligence; AIXI-tl
  • Hector Zenil - Experimental algorithmic information theory; Block decomposition method
  • Markus Müller - Quantum foundations using Solomonoff induction
  • David Wolpert - Thermodynamics of Turing machines; No free lunch theorems

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