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NIT Raipur · Information Technology

Dr. Chandrashekar
Jatoth

Assistant Professor & Researcher

Pioneering research in |

0+Publications
0+Years Research
0+Impact Factor Journals
Dr. Chandrashekar Jatoth
Cloud Computing
AI Research
IoT & Fog
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About Me

A passionate researcher and educator specializing in intelligent computing systems, cloud infrastructure, and AI-driven solutions for real-world problems.

I hold a Ph.D. from the University of Hyderabad, with an M.Tech in Artificial Intelligence, and have spent over a decade contributing to academia and research institutions including the Reserve Bank of India's technology arm (IDRBT).

My work spans from QoS-aware cloud service composition to blockchain-based cyber-physical systems, with publications in top Elsevier, Springer, Wiley, and IEEE journals.

Education

  • Ph.D. – University of Hyderabad
  • M.Tech (AI) – University of Hyderabad
  • B.E. – Osmania University

Current Position

Assistant Professor (Gr-I)
Department of Information Technology
NIT Raipur, Chhattisgarh, India

Contact

chandrashekar.jatoth@gmail.com
jchandrashekar.it@nitrr.ac.in
+91-8897741409

Research Areas

Artificial Intelligence

Machine learning, ensemble learning, and deep learning applications for healthcare, blockchain analytics, and cybersecurity.

MLEnsembleHealthcare AI

Cloud / Fog Computing

QoS-aware service composition, resource scheduling, and cloud service evaluation using evolutionary and meta-heuristic algorithms.

Cloud ServicesFog IoTQoS

Blockchain Technology

Secure blockchain-based cyber-physical systems, transaction classification using feature engineering and ensemble learning.

BlockchainCyber-PhysicalSecurity

Energy Informatics

Energy-efficient scheduling and optimization models for IoT and fog computing environments.

Energy EfficiencySchedulingIoT

Smart Healthcare

Intelligent monitoring and prediction systems for diseases like Parkinson's in smart city environments.

Smart CitiesParkinson'sIoMT

Publications

2026Journal

Fuzzy Logic and Petri Net-Based Modeling for Analyzing Vulnerabilities in Smart Contract Compositions for Vaccine Supply Chain Management

M Sreenu, N Gupta, Chandrashekar Jatoth

Computational Intelligence, 2026

2026Journal

FedMMIoT: A Federated Learning Framework for Detecting Autism Spectrum Disorders Using Multimodal IoT

J Lachure, Chandrashekar Jatoth, KS Rao

IEEE Transactions on Consumer Electronics, 2026

2026Journal

Explainable AI-driven Energy Forecasting using DGMR-based Feature Extraction

B Swaroopa Rani, Chandrashekar Jatoth, S Venu

2026

2025Conference

Quantum Network Simulators Integration with Open-Source 5G Mobile Stack

K Majid, S Agarwal, S Das, R Bassoli, FHP Fitzek, Chandrashekar Jatoth

IEEE GLOBECOM 2025

2025Journal

Deep Learning and Blockchain-Enabled Predictive Maintenance in Electric Vehicles: A Review

B Swaroopa Rani, Chandrashekar Jatoth

Concurrency and Computation, 2025

2025Conference

Hierarchical Quantum Backbone: A Scalable Topology for Quantum Networks

S Priyadarshini, Chandrashekar Jatoth, R Doriya

IEEE Conference 2025

2025Journal

QURE: Quantum-Resistant Encryption Strategies for Confidential Computing

K Majid, Chandrashekar Jatoth

IEEE Future Networks, 2025

2024Journal

IoV Block Secure: Blockchain-based Secure Data Framework for Internet of Vehicles

G Madhukar, Chandrashekar Jatoth, R Doriya

Peer-to-Peer Networking, 2024

2024Journal

Reinforcement Learning and Blockchain-based Vaccine Recommender System

M Sreenu, N Gupta, Chandrashekar Jatoth

Expert Systems, 2024

2023Journal

Post-Quantum Distributed Ledger Technology: A Systematic Survey

NK Parida, Chandrashekar Jatoth

Scientific Reports, 2023

2022JournalIF: 5.047

Blockchain based Secure and Reliable Cyber Physical Ecosystem for Vaccine Supply Chain

M. Sreenu, Nitin Gupta, Chandrashekar Jatoth, Aldosary Saad, Abdullah Alharbi, Lewis Nkenyereye

Computer Communications, Elsevier, Vol.191, pp.173-183

2022JournalIF: 3.503

Effective monitoring and prediction of Parkinson disease in Smart Cities using intelligent health care system

Chandrashekar Jatoth, E Neelima, AVR Mayuri, SR Annaluri

Microprocessors and Microsystems, Elsevier, Vol.92, pp.104547

2021JournalMDPI

Improved Classification of Blockchain Transactions Using Feature Engineering and Ensemble Learning

Chandrashekar Jatoth, Rishabh Jain, Ugo Fiore, Subrahmanyam Chatharasupalli

Future Internet, MDPI, Vol.14, No.1

2021JournalIF: 3.818

Quality-aware Energy Efficient Scheduling Model for Fog Computing Comprised IoT Network

Narayana Potu, Sreedhar Bhukya, Chandrashekar Jatoth, Premchand Parvataneni

Computers and Electrical Engineering, Elsevier, Vol.97, pp.107603

2021JournalIF: 3.643

An efficient chaotic salp swarm optimization approach based on ensemble algorithm for class imbalance problems

Rekha Gillala, Krishna Reddy Vuyyuru, Chandrashekar Jatoth, Ugo Fiore

Soft Computing, Springer

2021JournalIF: 1.536

QoS-aware Big Service Composition using Distributed Co-Evolutionary Algorithm

Avik Dutta, Chandrashekar Jatoth, G.R. Gangadharan, U Fiore

Concurrency and Computation Practice and Experience, Wiley

2021JournalIF: 1.536

Optimizing resource scheduling based on extended particle swarm optimization in fog computing environments

Narayana Potu, Chandrashekar Jatoth, Premchand Parvataneni

Concurrency and Computation Practice and Experience, Wiley, PP. e6163

2019JournalIF: 6.330

Optimal fitness aware cloud service composition using modified invasive weed optimization

Chandrashekar Jatoth, G.R. Gangadharan, Ugo Fiore

Swarm and Evolutionary Computation, Elsevier, Vol.44, PP.1073-1091

2019JournalIF: 5.768

Optimal fitness aware cloud service composition using an adaptive genotypes evolution based genetic algorithm

Chandrashekar Jatoth, G.R. Gangadharan, Rajkumar Buyya

Future Generation Computer Systems, Elsevier, Vol.94, pp.185-198

2019JournalIF: 5.768

QoS-aware Cloud Service Composition using Eagle Strategy

G Siva Kumar, Chandrashekar Jatoth, G.R. Gangadharan, Rajkumar Buyya

Future Generation Computer Systems, Elsevier, Vol.90, pp.273-290

2019JournalIF: 2.784

SELCLOUD: A Hybrid Multi-Criteria Decision Making Model for Selection of Cloud Services

Chandrashekar Jatoth, G.R. Gangadharan, Ugo Fiore, Rajkumar Buyya

Soft Computing, Springer, Vol.23, No.13, pp.4701-4715

2019JournalIF: 1.447

A MapReduce-based modified Grey Wolf optimizer for QoS-aware big service composition

Chandrashekar Jatoth, G.R. Gangadharan, Ugo Fiore

Concurrency and Computation Practice and Experience, Wiley, Vol.32, No.8, PP.e5351

2018JournalIF: 5.768

QoS aware Big Service composition using MapReduce based Evolutionary Algorithm with Guided Mutation

Chandrashekar Jatoth, G.R. Gangadharan, Ugo Fiore, Rajkumar Buyya

Future Generation Computer Systems, Elsevier, Vol.86, pp.1008-1018

2016JournalIF: 3.520

Computational intelligence based QoS-aware web service composition: A systematic literature review

Chandrashekar Jatoth, G.R. Gangadharan, Rajkumar Buyya

IEEE Transactions on Services Computing, IEEE, Vol.10, No.3, pp.475-492

2016JournalIF: 2.784

Evaluating the efficiency of cloud services using modified data envelopment analysis and modified super-efficiency data envelopment analysis

Chandrashekar Jatoth, G.R. Gangadharan, Ugo Fiore

Soft Computing, Springer, Vol.21, No.23, pp.7221-7234

2015ConferenceSpringer

QoS-aware Web Service Composition Using Quantum Inspired Particle Swarm Optimization

Chandrashekar Jatoth, G.R. Gangadharan

KES-IDT 2015, Sorrento, Italy, pp.255-265, Springer

2015ConferenceSpringer

Fitness Metrics for QoS-Aware Web Service Composition Using Metaheuristics

Chandrashekar Jatoth, G.R. Gangadharan

KES-IDT 2015, Sorrento, Italy, pp.267-277, Springer

Experience

August 2021 – Present

Assistant Professor (Gr-I)

NIT Raipur, Chhattisgarh, India

Teaching and research in Information Technology. Active contributions to curriculum, research supervision, and departmental activities.

December 2018 – July 2021

Assistant Professor (Gr-I)

NIT Hamirpur, Himachal Pradesh, India

Contributed to teaching, administrative roles including examinations, NAD, and Digital India initiatives.

July 2018 – December 2018

Associate Professor

Sreenidhi Institute of Science & Technology, Hyderabad

June 2017 – August 2018

Associate Professor

Koneru Lakshmaiah Education Foundation, Hyderabad

March 2013 – December 2017

Research Fellow

IDRBT (Established by Reserve Bank of India), Hyderabad

Conducted advanced research in cloud computing and AI at India's premier banking technology research institute.

Projects

0Total Projects
₹5.68 Cr+Total Funding
0As Principal Investigator
0Active Projects
01
PI Active

Graph Neural Networks for Quantum Entanglement Optimisation in Large-Scale Quantum Systems

FunderSPARC, MoE
Worth₹1.10 Crore
Dec 2025 Nov 2027
02
PI Completed

Mapping of Scope for Single-Window Registration & Reporting of Social Protection Schemes in Chhattisgarh

FunderUNICEF
Worth₹5.10 Lakhs
Nov 2025 Feb 2026
03
Co-PI Active

Partnerships in Research for Advanced Technologies in Healthcare, AI, Materials & Energy (PRATHAME)

FunderPAIR, ANRF
Worth₹2.30 Crore
Jul 2025 Jun 2026
04
Co-PI Active

Design & Development of a Quantum-Based PNT System for Underwater Robot Navigation

FunderIITINiF (ICPS), DST
Worth₹30.64 Lakhs
Mar 2025 Dec 2026
05
PI Active

Next Generation Tech-Agriculture for Vulnerable Tribal Community in Chhattisgarh State

FunderTiHAN (ICPS), DST
Worth₹25.00 Lakhs
Feb 2024 Mar 2026
06
PI Active

IoT Accessed Secure E-Finance Platform for Managing Severe Acute Malnutrition among Vulnerable Tribes in Chhattisgarh

FunderIBITF (ICPS), DST
Worth₹54.43 Lakhs
Feb 2023 Mar 2026
07
PI Active

Interactive System for Early Diagnosis of Autism Spectrum Disorder (ASD) using Deep Learning & Federated Learning for Rural Communities

FunderEEQ, ANRF
Worth₹27.66 Lakhs
Mar 2023 Mar 2026
08
PI Completed

Blockchain Technology and Its Applications

FunderICPS, DST
Worth₹9.00 Lakhs
Mar 2019 Mar 2020
09
PI Active

AI-Driven Groundwater Iron Safety Framework for Tribal Mining Communities of Chhattisgarh

FunderIBITF (ICPS), DST
Worth₹31.98 Lakhs
Mar 2026 Dec 2027
10
PI Active

GreenWatch: Automated Violation Detection & Green Compliance Framework for Mining Operations in Chhattisgarh

FunderIBITF (ICPS), DST
Worth₹32.50 Lakhs
Mar 2026 Dec 2027
0
Total Publications
0
High Impact (IF 3+)
0
Years Experience
0
Co-Authors Worldwide

Contact

Get in Touch

I welcome collaborations, research discussions, and academic inquiries. Feel free to reach out via email or phone.

AddressDept. of IT, NIT Raipur,
Chhattisgarh – 492010, India