World's Best Scientists 2026 revealed!
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Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
55
Citations
15946
World Ranking
4227
National Ranking
54

Research.com Recognitions

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award
  • 1996 - ACM Fellow For contributions to knowledge-based systems research and applications, to statistical methods in pattern recognition, and to leadership in artificial intelligence.
  • 1986 - IEEE Fellow For contributions to statistical pattern recognition and artificial intelligence.

Overview

B. Chandrasekaran is affiliated with Vrije Universiteit Amsterdam in the Netherlands. Their research spans multiple areas within computer science and engineering, focusing extensively on topics related to blockchain technology, networking, and security.

Their recent publications include:

  • Understanding the Security Implications of Kubernetes Networking, 2021, IEEE Security & Privacy
  • Understanding Blockchain Governance: Analyzing Decentralized Voting to Amend DeFi Smart Contracts, 2023, arXiv (Cornell University)
  • Calibrating the performance and security of blockchains via information propagation delays, 2022, Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
  • Modeling Coordinated vs. P2P Mining: An Analysis of Inefficiency and Inequality in Proof-of-Work Blockchains, 2021, arXiv (Cornell University)
  • Unlocking Diversity of Fast-Switched Optical Data Center Networks With Unified Routing, 2025, IEEE Transactions on Networking

Their frequent co-authors are:

  • Johnnatan Messias
  • Krishna P. Gummadi
  • Patrick Loiseau
  • Vabuk Pahari
  • Jialong Li

B. Chandrasekaran has contributed extensively to the following publication venues:

  • arXiv (Cornell University)
  • IEEE Security & Privacy
  • Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
  • IEEE Transactions on Networking

Their primary fields of study are:

  • Computer Science
  • Engineering

Within these fields, their research covers several subfields, including:

  • Computer Networks and Communications
  • Information Systems
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Management Science and Operations Research

The main topics addressed in their work comprise:

  • Blockchain Technology Applications and Security
  • Internet Traffic Analysis and Secure E-voting
  • Advanced Optical Network Technologies
  • Software-Defined Networks and 5G
  • Cryptography and Data Security
  • Optical Network Technologies
  • Advanced Photonic Communication Systems

B. Chandrasekaran has been recognized by professional societies with the following awards:

  • ACM Fellow (1996), for contributions to knowledge-based systems research and applications, to statistical methods in pattern recognition, and to leadership in artificial intelligence
  • IEEE Fellow (1986), for contributions to statistical pattern recognition and artificial intelligence

Best Publications

  • What are ontologies, and why do we need them?

    B. Chandrasekaran;J.R. Josephson;V.R. Benjamins

  • Generic Tasks in Knowledge-Based Reasoning: High-Level Building Blocks for Expert System Design

    B. Chandrasekaran

  • 39 Dimensionality and sample size considerations in pattern recognition practice

    Anil K. Jain;B. Chandrasekaran

  • The paradoxical success of fuzzy logic

    C. Elkan;H.R. Berenji;B. Chandrasekaran;C.J.S. de Silva

  • Generic tasks for knowledge-based reasoning: the “right” level of abstraction for knowledge acquisition

    T. Bylander;B. Chandrasekaran

  • Task-structure analysis for knowledge modeling

    B. Chandrasekaran;Todd R. Johnson;Jack W. Smith

  • What Are They? Why Do We Need Them?

    B. Chandrasekaran;J.R. Josephson;V.R. Benjamins

  • Diagrammatic Reasoning: Cognitive and Computational Perspectives

    Janice Glasgow;N. Hari Narayanan;B. Chandrasekaran

  • Function in Device Representation

    B. Chandrasekaran;John R. Josephson

  • Towards a Taxonomy of Problem Solving Types

    B. Chandrasekaran

  • Design Problem Solving: Knowledge Structures and Control Strategies

    David C. Brown;B. Chandrasekaran

  • Deep versus compiled knowledge approaches to diagnostic problem-solving

    B. Chandrasekaran;Sanjay Mittal

  • The Ontology of Tasks and Methods

    B. Chandrasekaran;J. R. Josephson

  • Functional representation as design rationale

    B. Chandrasekaran;A.K. Goel;Y. Iwasaki

  • Performance Comparison of MPI Implementations over InfiniBand, Myrinet and Quadrics

    Jiuxing Liu;Balasubramanian Chandrasekaran;Jiesheng Wu;Weihang Jiang

  • On dimensionality and sample size in statistical pattern classification

    Laveen N. Kanal;B. Chandrasekaran

  • Generic tasks and task structures: history, critique and new directions

    B. Chandrasekaran;Todd R. Johnson

  • Towards a functional architecture for intelligence based on generic information processing tasks

    B. Chandrasekaran

  • Functional representation of designs and redesign problem solving

    Ashok Goel;B. Chandrasekaran

  • A Mechanism for Forming Composite Explanatory Hypotheses

    John R. Josephson;B. Chandrasekaran;Jack W. Smith;Michael C. Tanner

Frequent Co-Authors

Ashok K. Goel
Ashok K. Goel Georgia Institute of Technology
Dhabaleswar K. Panda
Dhabaleswar K. Panda The Ohio State University
Richard Fikes
Richard Fikes Stanford University
Anil K. Jain
Anil K. Jain Michigan State University
Thomas G. Dietterich
Thomas G. Dietterich Oregon State University
Ronald R. Yager
Ronald R. Yager Iona University
George J. Klir
George J. Klir Binghamton University
Christian Freksa
Christian Freksa University of Bremen
Mo Jamshidi
Mo Jamshidi The University of Texas at San Antonio
Giorgio Rizzoni
Giorgio Rizzoni The Ohio State University

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