Anupkumar Bongale

About

Dr. Anupkumar M. Bongale, a Senior Member of IEEE, completed his Ph.D. at Visvesvaraya Technological University (VTU) in Belgaum, Karnataka, India. Presently, he serves as an Associate Professor in the Department of Artificial Intelligence and Machine Learning at Symbiosis Institute of Technology, Symbiosis International (Deemed University) located in Lavale, Pune, Maharashtra, India. Dr. Bongale has a track record, having filed patents and authored book chapters. Additionally, he has made notable contributions through numerous research articles published in renowned international journals and conferences.

His research interests encompass a broad spectrum, including AI in FinTech, optimization techniques, swarm intelligence, wireless sensor networks, Blockchain, AI in Aquaculture, and Medical Image Processing. Notably, he serves as a guest editor in reputed journals indexed in Scopus. Furthermore, Dr. Bongale actively contributes to the academic community as a reviewer for journals indexed in Scopus and SCI.

Employment

• Symbiosis Institute of Technology Associate Professor
  2019 - Present
• Manipal Institute of Technology Assistant Professir - Sr. Scale
  2019 - 2019
• D Y Patil College of Engineering Assistant Professor
  2013 - 2019
• Manipal Institute of Technology Assistant Professor
  2009 - 2013

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Parkinson’s disease focused multimodal wearable vision based gait monitoring system with real time feedback to support mobility and caregiver well-being
  Discover Mental Health 2026 DOI: 10.1007/s44192-026-00539-9
  +Save
• Fresh Umbilical Cord Blood—A Source of Multipotent Stem Cells, Collection, Banking, Cryopreservation, and Ethical Concerns
  Life 2023 DOI: 10.3390/life13091794
  +Save
• Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications
  International Journal of Financial Studies 2023 DOI: 10.3390/ijfs11030094
  +Save
• Enhanced Pre-Trained Xception Model Transfer Learned for Breast Cancer Detection
  Computation 2023 DOI: 10.3390/computation11030059
  +Save
• Secure Data Transmission of Electronic Health Records Using Blockchain Technology
  Electronics 2023 DOI: 10.3390/electronics12041015
  +Save
• Extraction and Performance Analysis of Hydrocarbons from Waste Plastic Using the Pyrolysis Process
  Energies 2022 DOI: 10.3390/en15249381
  +Save
• Optimization and Modeling of Material Removal Rate in Wire-EDM of Silicon Particle Reinforced Al6061 Composite
  Materials 2021 DOI: 10.3390/ma14216420
  +Save
• Design and Implementation of EOICHD Based Clustered Routing Protocol Variants for Wireless Sensor Networks
  Applied System Innovation 2021 DOI: 10.3390/asi4020025
  +Save
• EOICHD: A routing scheme for wireless sensor network based on energy and optimal inter cluster head distance
  International Journal of Applied Engineering Research 2016
  +Save
• LRXE: Lite-RSA for XML Encryption suitable for computational constraint devices
  Proceedings - 2014 IEEE Global Conference on Wireless Computing and Networking, GCWCN 2014 2015 DOI: 10.1109/GCWCN.2014.7030879
  +Save