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Chilukuri K. Mohan

Chilukuri K. Mohan

D-Index & Metrics

Computer Science

D-Index
31
Citations
7117
World Ranking
13383
National Ranking
5358

Overview

Chilukuri K. Mohan is affiliated with Syracuse University in the United States and has contributed to research predominantly in the fields of Computer Science and Engineering. Their work spans various subfields, including Artificial Intelligence, Information Systems, Control and Systems Engineering, Statistical and Nonlinear Physics, and Civil and Structural Engineering.

The research interests of Chilukuri K. Mohan cover a range of topics focused on practical and theoretical challenges. These topics include:

  • Misinformation and Its Impacts
  • Spam and Phishing Detection
  • Complex Network Analysis Techniques
  • Sepsis Diagnosis and Treatment
  • Emergency and Acute Care Studies
  • Evolutionary Algorithms and Applications
  • Metaheuristic Optimization Algorithms Research

The scientist has been involved in multiple publications across various venues. Notable publication venues where their work has appeared frequently include:

  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • Anaesthesia
  • Preprints.org
  • Journal of Nondestructive Evaluation Diagnostics and Prognostics of Engineering Systems

Their recent papers demonstrate a focus on both biomedical applications and computational techniques. Selected recent papers include:

  • Comparison of the Aotearoa New Zealand Early Warning Score and National Early Warning Score to predict adverse inpatient events in a vital sign dataset, 2023, Anaesthesia
  • Unmasking AI-Generated Fake News Across Multiple Domains, 2024, Preprints.org
  • Machine Learning and Anomaly Detection Algorithms for Damage Characterization From Compliance Data in Three-Point Bending Fatigue, 2021, Journal of Nondestructive Evaluation Diagnostics and Prognostics of Engineering Systems
  • Structural Optimization with Isogeometric Representation using an Evolutionary Approach, 2024, Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • Evolutionary training of deep neural networks on heterogeneous computing environments, 2022, Proceedings of the Genetic and Evolutionary Computation Conference Companion

Collaboration is a significant aspect of their research. Frequent coauthors include:

  • Subodh Kalia
  • Ziyang Lu
  • Pramod K. Varshney
  • Reza Zafarani
  • Alex Psirides

Best Publications

  • Elements of artificial neural networks

    Kishan Mehrotra;Chilukuri K. Mohan;Sanjay Ranka

  • Original Contribution: Forecasting the behavior of multivariate time series using neural networks

    Kanad Chakraborty;Kishan Mehrotra;Chilukuri K. Mohan;Sanjay Ranka

  • Fitness-distance-ratio based particle swarm optimization

    T. Peram;K. Veeramachaneni;C.K. Mohan

  • Particle swarm optimization: surfing the waves

    E. Ozcan;C.K. Mohan

  • Efficient classification for multiclass problems using modular neural networks

    R. Anand;K. Mehrotra;C.K. Mohan;S. Ranka

  • An improved algorithm for neural network classification of imbalanced training sets

    R. Anand;K.G. Mehrotra;C.K. Mohan;S. Ranka

  • Analysis of a simple particle swarm optimization system

    Ender Ozcan;Chilukuri K. Mohan

  • Optimization using particle swarms with near neighbor interactions

    Kalyan Veeramachaneni;Thanmaya Peram;Chilukuri Mohan;Lisa Ann Osadciw

  • Characterization of a class of sigmoid functions with applications to neural networks

    Anil Menon;Kishan Mehrotra;Chilukuri K. Mohan;Sanjay Ranka

  • Anomaly Detection Principles and Algorithms

    Kishan G. Mehrotra;Chilukuri K. Mohan;HuaMing Huang

  • Bounds on the number of samples needed for neural learning

    K.G. Mehrotra;C.K. Mohan;S. Ranka

  • Multi-phase discrete particle swarm optimization

    Buthainah Sabeeh No'man Al-kazemi;Chilukuri K. Mohan

  • Multi-phase generalization of the particle swarm optimization algorithm

    B. Al-kazemi;C.K. Mohan

  • Training feedforward neural networks using multi-phase particle swarm optimization

    B. Al-kazemi;C.K. Mohan

  • Flight graph based genetic algorithm for crew scheduling in airlines

    H. Timucin Ozdemir;Chilukuri K. Mohan

  • A Multiobjective Optimization Approach to Obtain Decision Thresholds for Distributed Detection in Wireless Sensor Networks

    E. Masazade;R. Rajagopalan;P.K. Varshney;C.K. Mohan

  • Credibility-Based Fake News Detection

    Niraj Sitaula;Chilukuri K. Mohan;Jennifer Grygiel;Xinyi Zhou

  • Genetic algorithms for graph partitioning and incremental graph partitioning

    Harpal Maini;Kishan Mehrotra;Chilukuri Mohan;Sanjay Ranka

  • Multi-objective mobile agent routing in wireless sensor networks

    R. Rajagopalan;C.K. Mohan;P. Varshney;K. Mehrotra

  • Partial shape matching using genetic algorithms

    Ender Ozcan;Chilukuri K. Mohan

  • A clustering-based discretization for supervised learning

    Ankit Gupta;Kishan G. Mehrotra;Chilukuri Mohan

  • Rank-based outlier detection

    Huaming Huang;Kishan Mehrotra;Chilukuri K. Mohan

  • Neural Networks for Fast Estimation of Social Network Centrality Measures

    Ashok Kumar;Kishan G. Mehrotra;Chilukuri K. Mohan

Frequent Co-Authors

Pramod K. Varshney
Pramod K. Varshney Syracuse University
Sanjay Ranka
Sanjay Ranka University of Florida
Ender Özcan
Ender Özcan University of Nottingham
Deepak Kapur
Deepak Kapur University of New Mexico
Fan-Gang Zeng
Fan-Gang Zeng University of California, Irvine
Arif Ghafoor
Arif Ghafoor Purdue University West Lafayette
Nadarajah Asokan
Nadarajah Asokan University of Waterloo
Ishfaq Ahmad
Ishfaq Ahmad The University of Texas at Arlington

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