CV updated 03-08-2020

1. Aritra Sarkar
Ɣ Date of birth: July 07, 1991 Nationality: Indian
Email[P]: mr.aritra.sarkar@gmail.com Email[O]: a.sarkar-3@tudelft.nl
http://aritrasarkar.com +31 657334393 GitHub: prince-ph0en1x
Objective
Innovative, optimistic and dedicated professional interested in research collaborations
Research interests: algorithmic information theory; quantum algorithms; genomics;
artificial general intelligence; computer architecture; spacecraft system engineering
Education
Delft University of Technology Delft, The Netherlands
PhD candidate at Quantum Computer Architecture Lab Nov ’18 – (Nov ’22)
Affiliations: QuTech (faculty of AS) and Dept. of Q&CE (faculty of EEMCS)
Promoters: Prof. Dr. Koen Bertels and Dr. ir. Zaid Al-Ars
Research: Quantum-accelerated estimation of algorithmic information metrics with application in
genomics and artificial general intelligence
Master of Science in Computer Engineering, cum laude Sep ’16 – Jun ’18
Specialisation: Quantum Computing Architecture
Thesis: Quantum algorithms for pattern-matching in genomic sequences
Relevant courses: Fundamentals of Quantum Information, Modern Computer Architectures, Quan-
tum Communication and Cryptography, Advanced Computing Systems, Electronics for Quantum
Computation, Methods and Algorithms for System Design, Quantum Information Project
Indian Institute of Space Science and Technology Thiruvananthapuram, India
Bachelor of Technology in Avionics Aug ’09 – May ’13
Specialisation: Computer Science and Space Robotics
Thesis: Elevation mapping using stereo vision enabled heterogeneous multi-agent network
Experience
Delft University of Technology Delft, The Netherlands
Teaching Assistant Apr ’19 – (Jul ’20)
Electronics for Quantum Computation - EE4575
TCS Research and Innovation Kolkata, India
Research Intern (Ph.D.) at Embedded Systems and Robotics group Aug ’18 – Sep ’18
• Spiking neural network based associative memory evolution for context-based navigation
Research Intern (M.Sc.) at Embedded Systems and Robotics group Jul ’17 – Oct ’17
• 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
ISRO Satellite Centre, Department of Space, Government of India Bengaluru, India
Scientist Oct ’13 – Jul ’16
Major responsibilities as part of Controls and Digital Systems area:
• Project Manager for HysIS (hyperspectral imaging satellite) Solid State Recorder (SSR) sub-system
• Team Leader for standardisation of SSR firmware design for remote-sensing and scientific satellites
• Lead Software Designer of SSR for AstroSat (space observatory), ResourceSat (resource mapping),
CartoSat (cartography and military surveillance), ScatSat (oceanography) and MicroSat series of
satellites and Chandrayaan-2 (lunar orbiter-lander-rover)
• Member of Circuit Review Committee and FPGA Design Review Committee
Certifications
• Santa Fe Institute: Introduction to Complexity (Oct ’19)
• edX: The Quantum Internet and Quantum Computers (May ’18), Introduction to Genomic Data Science
(Nov ’18), Quantum Machine Learning (Apr ’19)
• Coursera: Quantum Mechanics and Quantum Computation (Dec ’12)
• Stanford Online: Introduction to Artificial Intelligence (Dec ’11), Machine Learning (Dec ’11)
• Udacity: Artificial Intelligence for Robotics (Apr ’14)
• IBM Cognitive Class (Big Data University): Hadoop 101, MapReduce and YARN, Apache Pig 101, Wat-
son Analytics 101, Big Data 101, R 101, Bitcoin 101, Build Your Own Chatbot

2. Academic Projects
• Quantum Innovation Environment (QuInE), a PyQT based IDE for quantum programming
• 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
• 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
Activities and Affiliations
• Quantum4HealthCare panelist for discussion on Quantum accelerated Genomics
• Community Mentor for University of TorontoX: Quantum Machine Learning edX course
• Lecture on Quantum Algorithms for Genomics at Amsterdam University of Applied Sciences
• Lecture on Search and Optimisation Algorithms for Genomics on Quantum Accelerators at Munich
• Tutorial on Quantum Algorithms: Quantum Computer Architecture at HiPEAC 2019 conference at Valencia
• Member of Electronics team at Delft Aerospace Rocket Engineering
• Co-founder and Secretary of IIST Physics Club - conducted weekly student discussions and exhibitions
• Student Coordinator of IIST Robotics Laboratory - hosted robotics events like line-follower, robo-wars
• Event Manager at Conscientia: IIST’s Annual Techno-Astronomy Festival
• Member of On-Board Computer Team of IIST Student Nano-Satellite Project
Publications and Patents
• A. Sarkar et al., ”Quantum Accelerated Estimation of Algorithmic Information,” arXiv preprint 2020
• A. Sarkar et al., ”QuASeR - Quantum Accelerated De Novo DNA Sequence Reconstruction,”arXiv preprint
2020
• A. Sarkar et al., ”An algorithm for DNA read alignment on quantum accelerators,”arXiv preprint 2019
• A. Sarkar, ”Quantum algorithms for pattern-matching in genomic sequences,” MSc thesis, 2018 Delft
University of Technology, The Netherlands.
• K. Bertels et al., ”Quantum Computer Architecture: Towards Full-Stack Quantum Accelerators,” 2020
Design, Automation Test in Europe Conference Exhibition (DATE), Grenoble, France, 2020, pp. 1-6, doi:
10.23919/DATE48585.2020.9116502.
• T. Hubregtsen et al., ”Integration and Evaluation of Quantum Accelerators for Data-Driven User Functions,”
2020 21st International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, USA, 2020, pp.
329-334, doi: 10.1109/ISQED48828.2020.9137029.
• S. Dey et al., ”A Brain-inspired Approach to Robotic Mapping and Navigation,” 2019 IEEE RO-MAN,
Workshop on Cognitive and Interactive Robotics, New Delhi, India, 2019
• Patent: Context based path planning for vector navigation in hexagonal spatial maps Priority number:
IN201821007023 20180223
• Aritra Sarkar, Srividhya R., Jothy Soman, Subramanya Udupa, “Approaches towards standardization of software
for on-board storage systems in space programs,” Proceedings of Enabling Spacecraft Systems Realization
through Industries Conference, ESSRI-16, June 2016.
• Aritra Sarkar, Jafi E.J., Srividhya R., Jothy Soman, Subramanya Udupa and Valarmathi N., “On-board payload
data store and forward design for remote sensing satellites,” Proceedings of National Conference on Recent Trends
in Microsystems, IINC-15, October 2015.
• S. Srivastava et al., ”Hazard control algorithms for heterogenous multi-agent cloud-enabled robotic net-
work,” 2013 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS),
Kattankulathur, 2013, pp. 1-6, doi: 10.1109/ANTS.2013.6802882.
• A. Sarkar et al., ”Elevation mapping using stereo vision enabled heterogenous multi-agent robotic network,”
2013 IEEE Global Humanitarian Technology Conference: South Asia Satellite (GHTC-SAS), Trivandrum, 2013,
pp. 340-345, doi: 10.1109/GHTC-SAS.2013.6629942.