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Dr. Vamsheedhar Reddy

Research & scholarship

Journal articles, conference papers, patents, published book, and research funding proposals in fog/cloud computing, deep learning, IoT, and cybersecurity.

Dr. Vamsheedhar Reddy's research spans Fog Computing, Cloud Computing, Deep Learning, Internet of Things (IoT), and Cybersecurity. His record includes 4 highlighted SCIE journal articles, 4 featured conference papers, 4 patents, the co-authored book Internet of Things & Its Applications, and ongoing work on research funding proposals. Full lists are mirrored on Google Scholar and ORCID.

  • Fog Computing
  • Cloud Computing
  • Deep Learning
  • Internet of Things (IoT)
  • Cybersecurity
  • Task & Workflow Scheduling

01

Journal papers

Selected SCIE-indexed journal articles in cloud, fog, and workflow scheduling. Additional Scopus and UGC CARE journal articles are listed on Google Scholar.

  1. [1]

    Priority-aware multi-objective task scheduling in fog computing using simulated annealing

    Sensors, 25(18), 5744 (SCIE, IF 3.9) · 2025

  2. [2]

    An Energy Efficient RL Based Workflow Scheduling in Cloud Computing

    Expert Systems with Applications (SCIE, IF 8.5) · 2023

  3. [3]

    A Multi-objective Based Scheduling Framework for Effective Resource Utilization in Cloud Computing

    IEEE Access (SCIE, IF 3.476) · 2023

  4. [4]

    MONWS: Multi-Objective Normalization Workflow Scheduling for Cloud Computing

    Applied Sciences 13(2):1101 (SCIE, IF 2.838) · 2023

02

Conference papers

Including MedicAI at ICISC 2025—see the awards gallery for the presentation certificate.

  1. [1]

    MedicAI: AI-Powered System for Enhanced Medical Information Access

    9th ICISC 2025, JCT College of Engineering and Technology (IEEE) · 2025

  2. [2]

    An analysis of a meta heuristic optimization algorithms for cloud computing

    ISCON 2021 (IEEE) · 2021

  3. [3]

    IWaOA: Resource Aware Scheduling Through Cloud Fog Computing Environment

    C2I6 2023 (IEEE) · 2023

  4. [4]

    Systematic Literature Review on Bio Inspired Algorithms in Cloud Fog Computing

    ICRTAC 2023 (IEEE) · 2023

03

Patents

  1. [1]

    DeepAgriNet: CNN-LSTM-Based Crop Yield Forecasting Using Multisource Agricultural Data

    Application no. 202641007352 · Published 06/02/2026 · IP India

  2. [2]

    AI-Enabled Adaptive Energy Management System for Smart Homes: Intelligent Optimization, Real-Time Control, and Sustainable Power Utilization

    Application no. 202541012420 · Published 21/02/2025 · IP India

  3. [3]

    Chemical Sensor-Integrated IoT Network for AI-Optimized Electricity Usage in Residential Areas

    Application no. 202541070964 · Published 01/08/2025 · IP India

  4. [4]

    An energy-efficient workflow scheduling

    Application no. 202241071666 · Published 13/02/2023 · IP India

04

Book

Co-authored with faculty from engineering colleges in Hyderabad, published by Groovi Techno IT Solution Private Limited.

Book cover — Internet of Things & Its Applications

Internet of Things & Its Applications

  • Publisher: Groovi Techno IT Solution Private Limited
  • ISBN: 978-93-6368-015-9
  • Published: 24 June 2026
  • Price: ₹150
  • Publisher address: H.No.18-161/1, Road No.05, Chaitanya, Chaitanyapuri, Hyderabad, TG-500035
  • Contact: +91 97005 09433

Authors

  • Mr. Gudimella Sai Ram

    Co-Author

    Assistant Professor, ECE, Siddhartha Institute of Engineering and Technology (Autonomous), Ibrahimpatnam, Hyderabad. M.Tech in Digital Electronics and Communication Systems; pursuing Ph.D. at KL University. 10+ years teaching; 14 research papers, 5 patents, 2 design patents, and 2 book publications. Research: IoT, communication systems, signal processing, embedded systems, and VLSI design.

  • Mr. Mohammad Gandhi Babu

    Co-Author

    Assistant Professor, ECE, AVN Institute of Engineering and Technology (Autonomous), Ibrahimpatnam, Hyderabad. M.Tech in VLSI & Embedded Systems; pursuing Ph.D. at KL University. 10+ years teaching; 8 research papers and 1 patent. Lifetime member of IETE, ISTE, and IAENG. Research: IoT, VLSI design, communication systems, and embedded systems.

  • Dr. P. Vamsheedhar Reddy

    Co-Author

    Associate Professor, CSE (AI & ML), Keshav Memorial Engineering College, Hyderabad. Ph.D. in Cloud Computing from VIT University. 14+ years teaching; 6 SCIE-indexed journal papers, 14 international conference papers, and 4 patents. Research: fog computing, cloud computing, deep learning, IoT, and cybersecurity. Senior Member of IEEE and IAENG.

  • Mr. Y. Raju

    Co-Author

    Assistant Professor, ECE, Sri Indu Institute of Engineering and Technology (Autonomous), Ibrahimpatnam, Hyderabad. M.Tech in VLSI System Design. 10 years teaching; 10 research papers and 3 patents. Member of IAENG and IRED. Research: IoT, communication systems, signal processing, embedded systems, and VLSI design.

05

Research proposals

Submitted and ongoing research funding proposals in fog/cloud computing, deep learning, IoT, and cybersecurity—in collaboration with academic institutions and industry partners.

Proposal details will be listed here as they are finalized. For collaboration on funded research or joint proposals, please get in touch.

Peer-review activity spans Expert Systems with Applications, Computer Networks, Biomedical Signal Processing and Control, and IEEE/Springer conferences. Continuing professional learning includes NPTEL certifications in ML, IoT, and Cloud Computing.

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