LabCompass

Debanjan Konar

Neuroscience · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1987
Brain Tumor Detection and ClassificationQuantum Computing Algorithms and ArchitectureAdvanced Neural Network ApplicationsAdvanced Memory and Neural ComputingMedical Image Segmentation Techniques

Publications

84

Citations

818

Est. group size

~1

Recurring co-author estimate

Active years

40

Publishing since 1987

Research summary
AI-generated

Debanjan Konar works at the intersection of quantum computing and neural networks, developing quantum-inspired and quantum-enhanced algorithms for tasks such as medical image segmentation, image classification, face recognition, and gene-interaction analysis (e.g., in Alzheimer's research). This work combines ideas from quantum information processing with deep learning and spiking neural network architectures to build models that can be more efficient or noise-robust than conventional approaches. Prospective students would be exposed to a blend of quantum algorithm design, machine learning, and biomedical/agricultural application domains.

Quantum machine learningMedical image analysis and segmentationSpiking and tensor neural networksQuantum-inspired optimization and metaheuristicsApplications in healthcare and agriculture

Publication output rose sharply from 2017 to a peak around 2021, then declined and has remained at a lower, steadier level through 2024-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 4.6/year recently
2017: 1 publication172018: 5 publications182019: 8 publications192020: 12 publications202021: 22 publications22212022: 6 publications222023: 8 publications232024: 5 publications242025: 3 publications252026: 1 publication26
Recent publications
Publishes in
  • Applied Soft Computing×5
  • arXiv (Cornell University)×5
  • Advances in intelligent systems and computing×4
  • Elsevier eBooks×4
  • IEEE Access×2
Similar researchers
By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

Claim or correct this profile