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Dr Harshala Shingne

vidwan id: 624388
Female

Assistant Professor,
Symbiosis Institute of Technology

Expertise

  • Computer Science Software Engineering

Publications

Total Articles 9
Books 0
Proceedings 0

Publications

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Scopus

Citations 19
h-index 3

CrossRef

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Citations 0
h-index 0
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Professional Recognition

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Community & Membership

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IEEE

IEEE Professional Member

Bio

Cloud Computing, Resource Scheduling, Hybrid Optimization Algorithms (PSO, Firefly, Tabu Search), Deep Reinforcement Learning (DRL), CloudSim Simulation, Cybersecurity, Network Security Tools (Wireshark, Nmap, Snort), Vulnerability Assessment, Ransomware Analysis, AI in Cloud Resource Management

Personal Details

  • Female
  • Assistant Professor , Symbiosis Institute of Technology
  • Chatrapati Square, Wardha Road, Nagpur
Ph. D
Other Institute 2025
Assistant Professor Jun 2025 – Present
Symbiosis Institute of Technology
Assistant Professor Nov 2022 – Jun 2025
Shri Ramdeobaba College of Engineering and Management, Nagpur | CSE
Adjunct Faculty Jan 2022 – Jul 2022
Visvesvaraya National Institute of Technology
Assistant Professor Jun 2015 – Jun 2020
St Vincent Palloti College of Engineering and Technology

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Co-Authors (2)

Rajan

Dr Rajan C

KS Rangasamy College of Technology (Autonomous)

Rajan

Dr Rajan c

K S R Educational Institutions

Scholarly Work

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A SELF-CLEANING REUSABLE GROCERY BAG

Harshala Shingne
- Application No. : 202521040721 Filed : 28-04-2025
Published : N/A Filed

A SECURE HEALTH DATA SYSTEM

Harshala Shingne
- Application No. : 202421042657 Filed : 01-06-2024
Published : 19-07-2024 Published

A SYSTEM AND METHOD FOR PESTS DETECTION ON PLANTS AND PESTICIDES RECOMMENDATION

Harshala Shingne
- Application No. : 202421036259 Filed : 07-05-2024
Published : 19-07-2024 Published

Comb

Harshala Shingne
- Application No. : 440361-001 Filed : 26-04-2024
Published : N/A Granted

A Multi-Functional Foot Hygiene Device

Harshala Shingne
- Application No. : 202321089437 Filed : 28-12-2023
Published : 26-01-2024 Published

Scholarly Publications

'An Efficient Predictive Resource Analysis Using Deep Dyna Q-Based VARMA LSTM Model for Fluctuating Cloud Workloads '

Open Access
InProceedings
Authors: 'Shingne, Harshala Shriram, R. '