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NIT Raipur · Information Technology

Dr. Chandrashekar
Jatoth

Assistant Professor & Researcher

Pioneering research in |

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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. – Computer Engineering

Current Position

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

Contact

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

Research Areas

Cloud / Fog Computing

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

Cloud ServicesFog IoTQoS

Energy Informatics

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

Energy EfficiencySchedulingIoT

Artificial Intelligence

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

MLEnsembleHealthcare AI

Computational Intelligence

Swarm intelligence, genetic algorithms, particle swarm optimization, and nature-inspired techniques for complex optimization problems.

Swarm AIGenetic AlgoPSO

Blockchain Technology

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

BlockchainCyber-PhysicalSecurity

Smart Healthcare

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

Smart CitiesParkinson'sIoMT

Publications

2022 Journal IF: 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

2022 Journal IF: 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

2021 Journal MDPI

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

2021 Journal IF: 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

2021 Journal IF: 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

2021 Journal IF: 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

2021 Journal IF: 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

2019 Journal IF: 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

2019 Journal IF: 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

2019 Journal IF: 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

2019 Journal IF: 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

2019 Journal IF: 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

2018 Journal IF: 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

2016 Journal IF: 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

2016 Journal IF: 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

2015 Conference Springer

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

2015 Conference Springer

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-II)

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-II)

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, established by the Reserve Bank of India.

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Total Publications
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High Impact (IF 3+)
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Years Experience
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Co-Authors Worldwide

Contact

Get in Touch

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

Address Dept. of IT, NIT Raipur,
Chhattisgarh – 492010, India