माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत
Madhav Institute of Technology & Science, Gwalior (M.P.), INDIA

→Research Publication

• Comprehensive Study of Wi-Fi Security and Challenges-IJSER, VOL 3, ISSUE 8 AUG 2012. ISSN - 2229-5518,Impact Factor-3.8,Page No.1-5
• A strategy for Package Transformation for Linux Environment-IJCTA,VOL, 3 ISSUE 4, AUG 2012, ISSN- 2229-6093, Impact Factor-2.804, Page No.1418-1421
• Study and Implementation of Multi Criterion Authentication Approach to Secure Mobile Payment System-IJESAT VOL 1, ISSUE 2, APRIL 2014, ISSN - 2250-3676, Impact Factor-4.98, Page No. 117-122
• A Review on Intrusion Detection Technique for Wireless Local Area Network-IJCSE ,VOL1, ISSUE 8, SEP 2014, ISSN -2348-8387, Impact Factor-2.162, Page No.22-26
• Cloud Computing Issues regarding Security, Application and Mobile Cloud Computing-IJARCSSE,VOL 5 ISSUE 3, JAN 2015, ISSN - 2277-128x, Impact Factor-2.084, Page No.403-406
• Impact of Cloud Computing in E-Learning- IJISET,VOL 4,ISSUE 1,JAN 2017, ISSN- 2348 - 7968,Impact Factor- 4.332, Page No.231-234
• A Review: Cryptographically Efficient, Dynamically Strong, Securely Proven Optimal And Hybrid Hierarchal Access Control System- IJCSIT,VOL 8 ,ISSUE 1, JAN 2017, ISSN- 0975–9646, Impact Factor-3.32 , Page No.136-140.
• A Survey on Encryption Techniques Using Image- National Conference on Data, Data mining & Big Data 2017,21-22 FEB 2017, Page No.125-128
• A Novel Approach of Digital Watermarking for Marking Bits in data Bytes - National Conference on Data, Data mining & Big Data 2017, 21-22 FEB 2017, Page No.247-251
• A Novel Approach –Embedded Hierarchical Access Control, NCERAEST-2019 Page No-16, and NCERAEST-013
• A New Authentication Strategy for Multiservice Authorization over Cloud, NCERAEST-2019, Page No-17, NCERAEST-013.
• Centralized Health Monitoring System, NCERAEST-2019, Page No-17, NCERAEST-013.
• Machine Learning Approach for instruction Detection in Computer Network, NCERAEST-2019, Page No-23, and NCERAEST-013.

• Achieving CIA using Hierarchical Access Control : A Review, International Conference on Engineering, Mathematical & Computational Intelligence (ICEMCI19) Jabalpur Engineering College in association with Walchand College of Engineering Sangli & FATER Academy of India sponsored by TEQIP-III 21-23 December 2019
• Access Control Model using Machine Learning and Two Fish Encryption in IOT Group Communication, Wesleyan Journal of Research,Vol 31No 1,May 2021 ISSN NOo0975-1386
• A Hierarchical Multi-authority Access Control Scheme for Secure and Efficient    Data Sharing in Cloud Storage Journal of Strategic Security (JSS), Impact Factor 6.253, Scopus and Q4, ISSN: 1944-0464(print) ISSN: 1944-0472 (online), The Berkeley Electronic Press, manuscript ID- Manuscript 210102385,Volume 5, Issue 1,   126-147, 06 March 2022. DOI: https://doi.org/10.5038/1944-0472.15.1.1970.Available at: https://digitalcommons.usf.edu/jss/vol15/iss1/6
• Blockchain based Hierarchical Semi-Decentralized approach using IPFS for Secure and Efficient Data Sharing, Journal of King Saud University - Computer and Information Sciences, Elsevier Saudi Arabia, SCIE and Scopus Indexed Journal Q1,ISSN: 1319-1578(print),Volume 34, Issue 4, pp.1523-1534, April 2022.ImpactFactor13.473,https://doi.org/10.1016/j.jksuci.2022.01.019. (https://www.sciencedirect.com/science/article/pii/S1319157822000325)

• Adaptive Access Control Model using Risk Based Technique in Dynamic Environment,3rd International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering & Technology ICSISCET 2021) Madhav Institute of Technology & Science, Gwalior, Madhya Pradesh, India, publication in the proceedings to be published in Springer Book Series, ‘Algorithms for Intelligent Systems (AIS), Series ISSN2524-7565 Series E-ISSN 2524-7573  held on November13-14, 2021,pp.XX, 480.
• Quorum and Non-quorum based Hierarchical Multi-authority Access Control Scheme for Secure Data Sharing in Cloud Based Environment, Sadhana -Academy Proceedings in Engineering Sciences, Indian Academy of Sciences, Bangalore, India. Springer, SCI and Scopus Indexed Journal,Q2, ISSN 0256-2499 (print), EISSN 0973-7677 (online), Accepted with minor revision on 31 October 2021 ; manuscript ID- SADH-D-21-01104,Second revision submitted on 3 March 2022
• An Efficient and Accurate Detection of Fake News using Capsule Transient Auto Encoder, SCIE-PAPER-ACM Transactions on Asian and Low-Resource Language Information Processinghttps://doi.org/10.1145/3589184. ISSN:2375-4699,EISSN:2375-4702
• Identification of Driver Drowsiness Detection using a Regularized Extreme Learning Machine, Published in: 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), Date of Conference: 02-04 March 2023.Date Added to IEEE Xplore: 05 April 2023, ISBN Information: Electronic ISBN: 979-8-3503-4664-0,Print on Demand(PoD) ISBN:979-8-3503-4665-7, DOI: 10.1109/ICEARS56392.2023.10085032,Publisher: IEEE Conference Location: Tuticorin, India.
• Hybrid Convolutional Neural Network and Extreme Learning Machine for Kidney Stone Detection, Published in: 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), Date of Conference: 02-04 March 2023.Date Added to IEEE Xplore: 05 April 2023, ISBN Information: Electronic ISBN: 979-8-3503-4664-0,Print on Demand(PoD) ISBN:979-8-3503-4665-7, DOI: 10.1109/ICEARS56392.2023.10085032,Publisher: IEEE Conference Location: Tuticorin, India.
• Enhanced Artificial Algae Algorithm based Distributed Generation Placement for Voltage Profile Enhancement , Published in 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Date of Conference: 17-19 May 2023.Date Added to IEEE Xplore: 08 June 2023, Electronic ISBN: *978-1-6654-5630-2*.DVD ISBN:  *978-1-6654-5629-6*,Print on Demand(PoD) ISBN:  *978-1-6654-5631-9*.*DOI:*  1109/ICAAIC56838.2023.10140221,Publisher: IEEE Link: https://ieeexplore.ieee.org/document/10140221Publisher: IEEE Conference Location: Salem, India.

• D. K. Dixit, A. Bhagat, and D. Dangi, “Automating fake news detection using ppca and levy flight-based lstm,” Soft Computing, vol. 26, no. 22, pp. 12 545–12 557, 2022. (SCIE, IF: 4.1, Q2)
• D. K. Dixit, A. Bhagat, and D. Dangi, “An accurate fake news detection approach based on a levy flight honey badger optimized convolutional neural network model,” Concurrency and Computation: Practice and Experience, vol. 35, no. 1, e7382, 2023. (SCIE, IF: 2, Q2)
• D. Dangi, S. T. Chandel, D. K. Dixit, S. Sharma, and A. Bhagat, “An efficient model for sentiment analysis using artificial rabbits optimized vector functional link network,” Expert Systems with Applications, vol. 225, p. 119 849, 2023. (SCIE, IF: 8.6, Q1)
• D. Dangi, A. Bhagat, and D. K. Dixit, “Sentiment analysis of social media data based on chaotic coyote optimization algorithm based time weight-adaboost support vector machine approach,” Concurrency and Computation: Practice and Experience, vol. 34, no. 3, e6581, 2022. (SCIE, IF: 2, Q2)
• D. Dangi, D. K. Dixit, and A. Bhagat, “Sentiment analysis of covid-19 social media data through machine learning,” Multimedia Tools and Applications, vol. 81, no. 29, pp. 42 261–42 283, 2022. (SCIE, IF: 3.6, Q2)
• D. K. Dixit, A. Bhagat, and D. Dangi, “Fake news classification using a fuzzy convolutional recurrent neural network,” Computers, Materials & Continua, vol. 71, no. 3, 2022. (SCIE, IF: 3.77, Q2)
•  D. Dangi, A. Bhagat, and D. K. Dixit, “Sentiment analysis on social media using genetic algorithm with cnn.,” Computers, Materials & Continua, vol. 70, no. 3, 2022. (SCIE, IF: 3.77, Q2)

Conference Proceedings:

• D. Dangi, D. K. Dixit, A. Bhagat, R. Nair, and N. Verma, “Analyzing the sentiments by classifying the tweets based on covid-19 using machine learning classifiers,” in 2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES), IEEE, 2021, pp. 1–6.
• D. K. Dixit, A. Bhagat, and D. Dangi. "A comparative analysis for detecting fake news using supervised learning algorithms." AIP Conference Proceedings. Vol. 2900. No. 1. AIP Publishing, 2024.
• D. Dangi, S. Sharma and D. K. Dixit, "An Effective Deep Learning Prediction Model for the COVID-19 Pandemic in India," 2023 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC), Bhubaneswar, India, 2023, pp. 1-4, doi: 10.1109/ICAIHC59020.2023.10431481.
• D. K. Dixit, and A. Bhagat, "Fake News Classification Using Fuzzy Based Deep Convolutional Neural Networks (FDNN) on Social Media Data". AIJR Abstracts, 2022, p.63.

Books Chapters:

• D. Dangi, D. Dixit, and A. Bhagat, “Cloud based security analysis in body area network for health care applications,” in Cloud Security, CRC Press, 2021, pp. 203–222.

Research Publications:

International Journals (Published)

Praphula Kumar Jain, Rajendra Pamula, and Gautam Srivastava. ”A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews”, Computer Science Review, Elsevier, SCIE, Impact factor 7.87, 2021.

Arushi Jain, Annavarapu Chandra Sekhara Rao, Praphula Kumar Jain, and Yu-Chen Hu. ”Optimized levy flight model for heart disease prediction using CNN framework in big data applications”, Expert System with Applications, Elsevier, SCIE, Impact factor 8.66, 2023.

Praphula Kumar Jain, Waris Quamer, and Rajendra Pamula, ”Consumer sentiment analysis with aspect fusion and GAN-BERT aided adversarial learning”, Expert Systems, Wiley, SCIE, Impact factor 2.81, 2023.

Dilli Babu Salvakkam, Vijayalakshmi Saravanan, Praphula Kumar Jain, and Rajendra Pamula ”Enhanced Quantum-Secure Ensemble Intrusion Detection Techniques for Cloud Based on Deep Learning”,Cognitive Computation, Springer, SCIE, Impact factor 4.89, 2023.

Aparna Chaparala, Praphula Kumar Jain, Hanen Karamti, and Walid Karamti, ”Monitor the Strength Status of Buildings Using Hybrid Machine Learning Technique”, IEEE Access, IEEE, SCIE, Impact factor 3.47, 2023.

Bhaskar Kapoor, Bharti Nagpal, Praphula Kumar Jain, Ajith Abraham, Lubna Abdelkareim Gabralla ”Epileptic Seizure Prediction Based on Hybrid Seek Optimization Tuned Ensemble Classifier Using EEG Signals”, Sensors, MDPI, SCIE, Impact factor 4.05, 2023.

Praphula Kumar Jain, Sandeep Inuganti, and Rajendra Pamula ” A Novel Deep Learning Approach to Classify Heartbeats Audio Data”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 2.017, 2023.

Sandeep Rathor, Subhash Chand Agrawal, Robin Singh Bhadoria, Praphula Kumar Jain, ” Secure and Embedded Processing Framework for Payload Scattering in Image Steganography with Low Computation Time”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 2.017, 2023.

Praphula Kumar Jain Gautam Srivastava, Jerry Chun-Wei Lin, and Rajendra Pamula.”Unscrambling Customer Recommendations: A Novel LSTM Ensemble Approach in Airline Recommendation Prediction Using Online Reviews”, IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, IEEE, SCIE, Impact factor 4.74, 2022.

Praphula Kumar Jain, Waris Quamer, Rajendra Pamula, and Vijayalakshmi Saravana. ”SpSAN: Sparse SelfAttentive Network based Aspect-aware model for Sentiment Analysis”, Journal of Ambient intelligent and humanized computing , Springer, SCIE, Impact factor 7.10, 2021.

Praphula Kumar Jain, Arjav Patel, Rajendra Pamula, and Saru Kumari.”Predicting airline customers’ recommendations using qualitative and quantitative contents of online reviews”, Multimedia Tools and Applications, Springer, SCIE, Impact factor 2.75.

Praphula Kumar Jain, Waris Quamer, Vijayalakshmi Saravanan, and Rajendra Pamula,”Employing BERTDCNN with Sentic Knowledge Base for Social Media Sentiment Analysis”, Journal of Ambient intelligent and humanized, Springer, SCIE, Impact factor 7.10, 2022.

Praphula Kumar Jain, Vijayalakshmi Saravana, and Rajendra Pamula. ”A Hybrid CNN-LSTM: A Deep learning approach in explaining consumer sentiment by qualitative user generated contents”, ACM Transactions on Asian and Low Resource Language Information Processing, ACM, SCIE, Impact factor 1.41, 2021.

Praphula Kumar Jain, Ephrem Admasu Yekun, and Rajendra Pamula,”Predicting Consumer Recommendations Decisions from social media contents using Multi-Label Ensemble Model”, Journal of Supercomputing, Springer, SCIE, Impact factor 2.47.

Praphula Kumar Jain, Ephrem Admasu Yekun, Rajendra Pamula, Gautam Srivastava Amjan Shaik. ”Consumer recommendation prediction in online reviews using Cuckoo optimized machine learning models”, Computers & Electrical Engineering, Elsevier, SCIE, Impact factor 3.81, 2021.

Praphula Kumar Jain, Rajendra Pamula, and Sarfraj Ansari. ”A Supervised machine learning approach for the Credibility Assessment of User-Generated Content”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.67, 2021.

Praphula Kumar Jain, Mani Shankar Bajpai, and Rajendra Pamula. ”A Modified DBSCAN Algorithm for Anomaly Detection in Time-series Data with Seasonality”, International Arab Journal of Information Technology, CCIS, SCIE, Impact factor 0.667, 2021.

Shiddharth Shukla, Praphula Kumar Jain, Ch Ramesh Babu, and Rajendra Pamula. ”A Multivariate Regression Model for Identifying, Analyzing and Predicting Crimes”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.67, 2020.

Praphula Kumar Jain, Waris Quamer, Arpit Rai, Vijayalakshmi Saravana, Rajendra Pamula, and Chiranjeev Kumar. ”SACNN : Self-Attentive Convolutional Neural Network Model for Natural Language Inference”, ACM Transactions on Asian and Low Resource Language Information Processing, ACM, SCIE, Impact factor 1.41, 2020.

Amit Singh, Rajendra Pamula, Praphula Kumar Jain, and Gautam Srivastava.”The Best-Choice VehicularRelay Selection Scheme for V2V and V2I Transmission”, Soft Computing, Springer, SCIE, Impact factor 3.64, 2021.

Arushi Jain, Annavarapu Chandra Sekhara Rao, Praphula Kumar Jain, and Ajith Abraham. ”Multi-type skin diseases Classification using OP-DNN based feature extraction approach”, Multimedia Tools and Applications, Springer, SCIE, Impact factor 2.757.

Praphula Kumar Jain and Anand Prakash. ”Predicting Consumer Recommendation Decisions from Online Reviews: A Rough Set Approach”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.67, 2022.

Prasad Velpula, Rajendra Pamula, Praphula Kumar Jain, Amjan Shaik. ”Heterogeneous Load Balancing using Predictive Load Summarization”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.67, 2022.

Pawan Meena, Monti Babulal Pal, Praphula Kumar Jain, Rajendra Pamula ”6G Communication Networks: Introduction, Vision, Challenges, and Future Directions”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.67, 2022.

Praphula Kumar Jain, Waris Quamer, and Rajendra Pamula. ”Sports result prediction using data mining techniques in comparison with base line model”, OPSEARCH, Springer, ESCI & Scopus, Impact factor -.–, 2020.

Praphula Kumar Jain, Madhur Jain, and Rajendra Pamula. ”Explaining and predicting employees’ attrition: a machine learning approach”, SN Applied Sciences, Springer, ESCI & Scopus, Impact factor -.–, 2020.

Prabjot Kaur, Praphula Kumar Jain, Amit Singh, Nishant Kumar. ”Indian citizens sentiment classification on Citizenship Amendment Act 2019”, SN Applied Sciences, Springer, ESCI & Scopus, Impact factor -.–, 2023.

International Conferences

Praphula Kumar Jain, Dilip Sharma, Lakshmibai Maddala, and Rajendra Pamula. ”Airline recommendation prediction using customer generated feedback data”, 4^th International Conference on Information Systems and Computer Networks (ISCON), IEEE, 2019.

Lakshmibai Maddala, Praphula Kumar Jain, and Rajendra Pamula. ”Tourist Recommender System using Hybrid Filtering”, 4^th International Conference on Information Systems and Computer Networks (ISCON), IEEE, 2019.

Kumari Pooja, Praphula Kumar Jain, and Rajendra Pamula. ”An efficient use of ensemble methods to predict students academic performance”, 4^th International Conference on Recent Advances in Information Technology (RAIT), IEEE, 2018.

Punam Kumari, Praphula Kumar Jain, and Rajendra Pamula. ”A two-level Statistical Model for Big Mart Sales Prediction”, International Conference on Computing, Power and Communication Technologies (GUCON), IEEE, 2018.

Praphula Kumar Jain, and Rajendra Pamula. ”Two step anomaly detection approach using clustering algorithm”, International Conference on Advance Computing Networking and Informatcs (ICANI), Springer, 2018.

Gaurav Mishra, Shubham Agarwal, Praphula Kumar Jain, and Rajendra Pamula. ”Outlier detection using subset formation of clustering based method”, International Conference on Advance Computing Networking and Informatcs (ICANI), Springer, 2018.

Punam Kumari, Praphula Kumar Jain, and Rajendra Pamula. ”A two-level Statistical Model for Big Mart Sales Prediction”, International Conference on Computing, Power and Communication Technologies (GUCON), IEEE, 2018.

Book Chapters

Praphula Kumar Jain, and Rajendra Pamula. ”Content-Based Airline Recommendation Prediction Using Machine Learning Techniques”, Machine Learning Algorithms for Industrial Applications, Scopus, 2020.

Praphula Kumar Jain, and Rajendra Pamula. ”Sentiment Analysis in Airline Data: Customer Rating Based Recommendation Prediction Using WEKA”, Machine Learning Algorithms for Industrial Applications, Scopus, 2020.

Praphula Kumar Jain, Waris Quamer, and Rajendra Pamula. ”Electricity consumption forecasting using time series analysis”, International Conference on Advances in Computing and Data Science, Scopus, 2018.

• One Research paper titled” Deep Learning-Based Recommendation System” is published in ICCIP-2022 “
• One research paper titled “An Improved Genetic Algorithm for Automated Convolutional Neural Network Design” is published in Intelligent Automation and Soft Computing 32, no. 2 (2022): 747-763 (SCIE)
• One research paper titled “Fusion of Handcrafted and Automatically generated features for improving the performance of COVID-19 X-Ray image classification” is published in International Conference on Technology, Research, & Innovation for the betterment of society (TRIBES-2021) (IEEE)
• One research paper titled “Classification of Brain Tumor MR Images using Deep Embedding Technique” is published in 10th International conference on Soft Computing for Problem Solving - SocProS 2020.
• One research paper titled “PMI-IR Based Sentiment Analysis over Social Media Platform for Analyzing Client Review” is published in Second International Conference on Computer Networks and Communication Technologies ICCNCT 2019(Scopus Index)
• One research paper titled “An improved Document Clustering Approach with Multi-Viewpoint based on different similarity measures” is published in Second International Conference on Intelligent Computing and Control Systems (ICICCS) 2018 (Scopus Index).
• One research paper titled” Cache Friendly Bellman Ford algorithm using OpenCL” is published in International Journal of Computer Applications (0975 –8887) Volume139 No.13, April 2016”.
• One research paper titled “An Advance Survey On Cloud Computing” is published in CICN CONFRENCE in NOV 2014.
• One research paper titled “Comparative study on distributed energy efficient Multilevel approach in wireless sensor network” is published in NJESM Volume-4, Issue-1, June 2014, ISSN 2249-0264.
• One research paper titled “Performance Analysis for Random Access Channel in  Wireless Network with Mac Protocol” is published in IJATER DEC 2014, ISSN    2250-3536
• One research paper titled “Comparative Study on Fuzzy Controlled and PI Controlled Buck Converter” is published in IJETT Volume-4, Issue-3, MARCH 2013, ISSN 2231-5381.
• One research paper titled “An Agent Based Energy Efficient Local Monitoring in WSN is published in IJSCE in NOV 2011. Volume-1, Issue-5, November 2011, ISSN2231- 2307   

• Lal, Devesh Kumar, and Ugrasen Suman. "A Survey of Real Time Big Data Processing Algorithms." Proc. of Reliability and Risk Assessment in Engineering. Springer, Singapore, 2020, pp. 3-10.
• Lal, Devesh Kumar, and Ugrasen Suman. "SBASH Stack Based Allocation of Sheer Window Architecture for Real Time Stream Data Processing." International Journal of Data Analytics (IJDA), Vol. 1(1), January 2020, pp. 1-21.
• Lal, Devesh Kumar, and Ugrasen Suman. "Towards comparison of real time stream processing engines." Proc. of IEEE Conference on Information and Communication Technology, 2019, pp. 1-5.
• Lal, Devesh Kumar, and Ugrasen Suman. "An efficient algorithm for reducing the flow of real time data stream with least sampling error." International Journal of Big Data Intelligence, Vol. 7(4), 2020, pp. 186-193.
• Lal, Devesh Kumar, and Ugrasen Suman. "An Online Approach to Determine Correlation between Data Streams." Proc. of ACM/SPEC International Conference on Performance Engineering (ICPE), France, April 2021, pp. 1-7.
• Lal, Devesh Kumar and Ugrasen Suman, “An analytical approach towards data stream processing on smart society for sustainable development”, Accepted. Book chapter on Decision Analytics for Sustainable Development in Smart Society 5.0.
• Lal, Devesh Kumar and Ugrasen Suman, “A generalized framework for real time stream processing”, Communicated.
• Gehlod, Lalit, Vaibhav Jain, Mala Dutta, and D. K. Lal. "A Grid Based Robot Navigation by Using Priority Algorithm." International Journal of Advanced Research in Computer and Communication Engineering 2, no. 8 (2013).
• Gehlod, Lalit, Mala Dutta, and Devesh Kumar Lal. "Graph Traversal technique for Grid Based robot Navigation." International Journal of Advanced research in Computer and Communication Engineering 2, no. 7 (2013).

International Journals /Conferences/ Book Chapters

•  R. K. Singh,  K. N. Tripathi,  Gagandeep Kaur  , R. Agrawal, (2024). QMCS-IAS: Quantum mechanism and compression sensing-based image authentication and security technique. Multimedia Tools and Applications, 1-27.[SCIE] (I.F.: 3)
• Gagandeep Kaur and M. Bhattacharya, "Green Fault Tolerant AIoT-enabled Mobile Sink Data Collection Scheme in Sensor Networks," in IEEE Transactions on Vehicular Technology [SCI] (I.F.: 6.8)
• Gagandeep Kaur and  M. Bhattacharya, " Intelligent Fault Diagnosis for AIT based Smart Farming Applications” IEEE Sensors Journal, 2023. [SCI] (I.F.: 4.3)
• K.N.Tripathi, Gagandeep Kaur, N.Arora, R.Agrawal," An Efficient Mobile Edge Computing based Resource Allocation using Optimal Double Weighted Support Vector Transfer Regression. Journal of Grid Computing 21, 49 (2023).  [SCIE] (I.F.: 5.5)
• Gagandeep Kaur and P. Chanak, "An Intelligent Fault Tolerant Data Routing Scheme for Wireless Sensor Network-assisted Industrial Internet of Things," in IEEE Transactions on Industrial Informatics, 2022 [SCI] (I.F:12.3)
• Gagandeep Kaur, P. Chanak, M. Bhattacharya, “A Green Hybrid Congestion Management Scheme for IoT-enabled WSNs,” IEEE Transactions on green communications and networking, 2022  [SCI]  (I.F:4.8)
• Gagandeep Kaur and P. Chanak, "An Energy Aware Intelligent Fault Detection Scheme for IoT-Enabled WSNs," in IEEE Sensors Journal, vol. 22, no. 5, pp. 4722-4731, 1 March1, 2022 [SCI] (I.F. 4.3)
• Gagandeep Kaur, P.Chanak, M.Bhattacharya, "Obstacle Aware Intelligent Fault Detection Scheme for Industrial Wireless Sensor Networks", IEEE Transactions on Industrial Informatics, 2022 [SCI] (I.F. 12.3)
• Gagandeep Kaur, P. Chanak, M. Bhattacharya, “Energy-Efficient Intelligent Routing Scheme for IoT-enabled WSNs,” 
  IEEE Internet of Things Journal, 8 (14), 2021, pp. 11440 - 11449. [SCI] (I.F.: 10.6)
• Gagandeep Kaur, P.Chanak, M.Bhattacharya, “Memetic Algorithm Based Data Gathering Scheme for IoT-Enabled Wireless Sensor Networks,” IEEE Sensors Journal, 20(19), 2020 pp. 11725-11734. [SCI] (I.F.: 4.3)
• P. Verma, Gagandeep Kaur, Rajendra Machavaram  and M.Bhattacharya “Intelligent Cotton Ball Maturity Prediction Model for Smart Agriculture” 2nd International Conference on Computing and Communication Networks(ICCCN-2022) organized by MANCHESTER METROPOLITAN UNIVERSITY, UNITED KINGDOM,20th NOV, 2024.
• D. V. Sarath Chandra, Gagandeep Kaur and M. Bhattacharya, "Smart Irrigation Management System for Precision Agriculture," 2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS), Kochi, India, 2023, pp. 1-5, doi: 10.1109/AICAPS57044.2023.10074171.
• Shrivastava, R.K., Singh, S.P., Banerjee, A. and Gagandeep Kaur., 2023. Heartbeat Classification Using Sequential Method. In Proceedings of Data Analytics and Management: ICDAM 2022 (pp. 293-300). Singapore: Springer Nature Singapore. organized by Karkonosza University of Applied Science, Poland 2022  https://link.springer.com/chapter/10.1007/978-981-19-7615-5_26  
•  Shrivastava, R.K., Singh, S.P. and Gagandeep Kaur., 2023. Machine Learning Models for Alzheimer’s Disease Detection Using OASIS Data. In Data Analysis for Neurodegenerative Disorders (pp. 111-126). Singapore: Springer Nature Singapore https://link.springer.com/chapter/10.1007/978-981-99-2154-6_6 
•  Sharma. P,  Gupta . M, Gagandeep Kaur, 2022 "Blockchain in pharmaceutical sector" in book entitled "Blockchain Technology in e-Healthcare Management" pp. 59 –88 IET Digital Library https://digital library.theiet.org/content/books/10.1049/pbhe048e_ch3  
• Gagandeep Kaur and P. Chanak, "A Resource Aware Routing Algorithm for IoT-enabled WSNs," 2021 IEEE Bombay Section Signature Conference (IBSSC), Gwalior, India, 2021, pp. 1-4, doi: 10.1109/IBSSC53889.2021.9673450
• P. Yadav, P. Singh, Gagandeep Kaur and P. Chanak, "An energy efficient hierarchical routing algorithm for IoT-enabled WSNs," 2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT), Sonepat, India, 2021, pp. 302-307, doi: 10.1109/CCICT53244.2021.00063.
• S. D. Sheth, Y. Verma, Gagandeep Kaur and P. Chanak, "An energy optimized routing algorithm for IoT-enabled WSN," 2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT), Sonepat, India, 2021, pp. 308-312, doi: 10.1109/CCICT53244.2021.00064 
• N. Tripathi, S. Gupta, R. Agrawal, Gagandeep Kaur, and R. K. Singh. "Analysis of Various Security Threats and Defence Mechanisms for the Vehicular Ad-hoc Networks (VANETs)." In 2023 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT), pp. 1-6. IEEE, Dec 2023
•  S. Gupta, Gagandeep Kaur and P. Chanak, "A deep Bi-LSTM based Fault Detection Algorithm for WSNs," 2021 IEEE Bombay Section Signature Conference (IBSSC), Gwalior, India, 2021, pp. 1-5, doi: 10.1109/IBSSC53889.2021.9673347.
• Gagandeep Kaur, R. Shrivastava and U. Gupta Blockchain Integration with Internet of Things (IoT) Based Systems for Data Security: A Review' Organized By: London Metropolitan University, London, UK (Venue Partner) in association with Karkonosze University of Applied Sciences, Jelenia Gora, Poland, Europe& Politécnico de Portalegre, Portugal, Europe ICDAM 2023
• Gagandeep Kaur, M.Bhattacharya, P.Chanak, “Energy Conservation Schemes of Wireless Sensor Networks for IoT Applications: A Survey,” IEEE International Conference on Information and Communication Technology, 2019, pp. 1-6. 
• Gagandeep Kaur, T. Hamsapriya and P. Lalwani, "A new energy efficient queue based multipath load balancing in Ad hoc network," 2014 International Conference on Computer Communication and Informatics, Coimbatore, India, 2014, pp. 1-6, doi: 10.1109/ICCCI.2014.6921768.
• Gagandeep Kaur, T.Hamsapriya, “ Survey of load balancing and sharing in MANET”, National Conference on Advances in Engineering Research & Applications (AERA ), MPCST, IETE March 2013.
• Gagandeep Kaur , R. Arora, “HSX- Fusion Energy”, National Conference on Emerging trend in power electronics and drives, AICTE sponsored IIP Cell,2007

Journals 

• Ranjeet Kumar Singh, Kuldeep Narayan Tripathi, Gagandeep Kaur & Rohit Agrawal*: QMCS-IAS: Quantum mechanism and compressionsensing-based image authentication and security technique. Multimed Tools Appl (Dec. 2024) https://doi.org/10.1007/s11042-024-20474-7. [Springer, SCIE] [Q1, IF:3.0]. Link: https://rdcu.be/d1U5H Corresponding Author: Rohit Agrawal
• Agrawal, R*., Singh, N.P., Shelke, N.A. et al. CbcErDL: Classification of breast cancer from mammograms using enhance image reduction and deep learning framework. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-19616-8. [Springer, SCIE] [Q1, IF:3.0].

• Rohit Agrawal*, Kuldeep Narayan Tripathi, Ranjeet Kumar Singh, Umesh Gupta, “A Secure Image Authentication Technique based on Sparse Approximation and Quantum Mechanism”, Digital Signal Processing, 104419, doi: https://doi.org/10.1016/j.dsp.2024.104419. [Elsevier, SCIE] [Q2, IF:2.9].
• Rohit Agrawal,  Kapil Ahuja*,  Dhaarna Maheshwari, Mohd Ubaid Shaikh, Mohamed Bouaziz, And Akash Kumar, “ParaLarH: parallel FPGA router based upon Lagrange heuristics”, IEEE Access, https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10301420, doi: 10.1109/ACCESS.2023.3328769, Sep 2023. [IEEE, SCIE] [Q1, IF:3.9].

• Kuldeep Narayan Tripathi*, Gagandeep Kaur, Nitin Arora, and Rohit Agrawal, “An Efficient Mobile Edge Computing based Resource Allocation using Optimal Double Weighted Support Vector Transfer Regression”, Journal of Grid Computing. [Springer, SCIE] [Q1, IF:5.5]. Doi: https://doi.org/10.1007/s10723-023-09680-z

• R. Agrawal and K. Ahuja*, “CSIS: Compressed Sensing-based Enhanced-Embedding Capacity Image Steganography Scheme”, IET Image Processing, WILEY, 15, 1909–1925, 2021, doi: https://doi.org/10.1049/ipr2.12161. [Impact Factor: 1.773]

• Agrawal R, Ahuja K*, Steinbach MC, Wick T. 2022. SABMIS: sparse approximation based blind multi-image steganography scheme. PeerJ Computer Science 8:e1080 https://doi.org/10.7717/peerj-cs.1080

• R. Agrawal, K. Ahuja*, C. H. Hoo, T. D. A. Nguyen and A. Kumar, “ParaLarPD: Parallel FPGA Router using Primal-Dual Sub-Gradient Method”, Electronics, MDPI, 8, 1439, 2019, doi: https://doi.org/10.3390/electronics8121439. [Impact Factor: 2.690]

• A. K. Pal, K. Naik and R. Agrawal, “A Steganography Scheme on JPEG Compressed Cover Image with High Embedding Capacity”, The International Arab Journal of Information Technology, 16(1), 116–124, 2019. doi: 10.34028/iajit [Impact Factor: 1.12]

• K. Naik, A. K. Pal and R. Agrawal, “Selective Image Encryption using Singular Value Decomposition and Arnold Transform”, The International Arab Journal of Information Technology, 15(4), 739–747, 2018. doi: 10.34028/iajit [Impact Factor: 1.12]

Journal Paper (Technical Report)

R. Agrawal, K. Ahuja, D. Maheshwari, A. Kumar and M. Bouaziz, “ParaLarH: Parallel FPGA Router
based upon Lagrange Heuristics”, Preprint arXiv:2010.11893, October 2020.

Book Chapter

R. Agrawal, A. A. Shastri, K. Ahuja, A. Perreard and J. Gujral, “An Apache Giraph Implementation of Distributed ADMM for Solving LASSO Problems”, In: A. Tiwari et al. (Eds.). Soft Computing for Problem Solving: Proc. of SocProS’20, Springer, Indore (India), pp 547–556, 2021, doi: 10.1007/978 −981 − 16 − 2712 − 5 44 (book chapter).

Adarsh Singh Jaodn, Rohit Agrawal, and Aditya A. Shastri, "Hinglish Sentiment Analysis Using LSTM-GRU with 1D CNN", In: T. Senjyu et al. (eds.), Smart Trends in Computing and Communications, Lecture Notes in Networks and Systems, 1460, Vol6, 2025, doi: https://doi.org/10.1007/978-981-96-7502-9_12, (Accepted and doi will be activated)

Refereed Conference

Abhidha Joshi, Rohit Agrawal, Nitin Arvind Shelke, Adarsh Singh Jadon, "Effective Content Moderation: A Framework for Toxic Comment Analysis Using Machine Learning," 2025 International Conference on Next Generation Information System Engineering (NGISE), Ghaziabad, Delhi (NCR), India, 2025, pp. 1-7, doi: https://doi.org/10.1109/NGISE64126.2025.11085366

Kuldeep Singh Rajpoot, Utkarsh Saxena, Nitin Arvind Shelke and Rohit Agrawal, "Revolutionizing Attendance Tracking: A Holistic Automated Facial Recognition System," 2025 International Conference on Ambient Intelligence in Health Care (ICAIHC), Raipur Chattisgarh, India, 2025, pp. 1-7, doi: https://doi.org/10.1109/ICAIHC64101.2025.10957105

G. Kitukale, N. A. Shelke, R. Agrawal, N. P. Singh and S. Quamara, "Predicting Knee Osteoarthritis using Deep Neural Network," 2024 IEEE 9th International Conference for Convergence in Technology (I2CT), Pune, India, 2024, pp. 1-6, doi: https://doi.org/10.1109/I2CT61223.2024.10543978

G. Kitukale, N. A. Shelke, R. Agrawal, N. P. Singh, S. Quamara and S. S. Kasana, "Machine Learning Driven Product Recommendations for Enhanced Shopping Cart Personalization," 2024 IEEE Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC), Denpasar, Indonesia, Sep 2024, pp. 1-7, doi: https://doi.org/10.1109/TEMSCON-ASPAC62480.2024.11024719. 

K. N. Tripathi, J. Patel, R. Agrawal, R. K. Singh and A. Shastri, "An ANOVA Based Analysis of Routing Techniques for Improving QoS in Flying Ad-Hoc Networks (FANETs)," 2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT), Dehradun, India, 2024, pp. 524-529, doi: 10.1109/DICCT61038.2024.10532904.

Tripathi, K. N., Gupta, S., Agrawal, R., Kaur, G., & Singh, R. K. (2023, September). Analysis of Various Security Threats and Defence Mechanisms for the Vehicular Ad-hoc Networks (VANETs). In  sep 2023 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT) (pp. 1-6). IEEE.doi: 10.1109/CISCT57197.2023.10351411

A. S. Jadon, M. Parmar and R. Agrawal, "Hinglish Sentiment Analysis: Deep Learning Models for Nuanced Sentiment Classification in Multilingual Digital Communication," 2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT), Dehradun, India, 2024, pp. 318-323, doi: 10.1109/DICCT61038.2024.10533057.

 K. Rahul, R. Agrawal and A. K. Pal, “Color image quantization scheme using DBSCAN with K-means algorithm”, In Proceedings of the 1st International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2013), Springer, 1037–1045, 2014, doi: 10.1007/978 − 81 − 322 − 1665 − 0 106.

Adarsh Singh Jadon, Umesh Gupta, Gopal Singh Rawat, Rohit Agrawal, Pankaj Gugnani, "Blockchain-Enabled E-Cheque Clearing System Using NFTs", International Conference on Computing and Communication Networks (ICCCNet-2025), Springer, Manchester Metropolitan University, Manchester,
United Kingdom, (Accepted)

Aayushi Vaidhy, Arun Prakash Agrawal, Rohit Agrawal, Umesh Gupta, and Ranjeet Kumar Singh, "GADL-SIC: Next-Gen Satellite Image Classification through Deep Feature Extraction and Genetic Algorithm", International Conference on Computing and Communication Networks (ICCCNet-2025), Springer, Manchester Metropolitan University, Manchester, United Kingdom, (Accepted)

Ansh Saxena, Sudhanshu Gupta, Divyanshi Parmar, Rohit Agrawal, and Umesh Gupta, "Unveiling the Field: A Data-Driven Framework for Hockey Game Prediction", International Conference on Computing and Communication Networks (ICCCNet-2025), Springer, Manchester Metropolitan University, Manchester, United Kingdom, (Accepted)

Posters

• Parallel FPGA Router using Subgradient and Steiner tree, Industry Academia Conclave-2017 (IAC-2017),
IIT Indore, Sep 05-07, 2017.

Referred Journal:

1. Shabana Urooj, Rajesh Arunachalam, Kuldeep Narayan Tripathi, Sukumaran Damodaran, Karthikayen Arunachalam, “HS-WOA: A Hybrid Metaheuristic Approach-Aided Multiobjective Constraints for Dual Cluster Head Selection in Wireless Sensor Networks,” International Journal of Communication System, Jan 2025. [SCIE indexed] [Wiley, IF: 2.0].
2. Ranjeet Kumar Singh, Kuldeep Narayan Tripathi, Gagandeep Kaur, Rohit Agrawal, “QMCS-IAS: Quantum mechanism and compression sensing-based image authentication and security technique” Multimedia Tools and Applications, November 2024. [SCIE indexed] [Springer, IF:3.6].
3. Samta Jain Goyal, Rajeev Goyal, Vinay Kumar Singh, Rajesh Arunachalam, and Kuldeep Narayan Tripathi. "Privacy‑preserving cross‑domain recommendation using hybrid federated transfer learning", Multimedia Tools and Applications, June 2024 [SCI-E indexed] [Springer, IF: 3.6].
4. Rohit Agrawal, Navneet Pratap Singh, Nitin Arvind Shelke, Kuldeep Narayan Tripathi, and Ranjeet Kumar Singh. "CbcErDL: Classification of breast cancer from mammograms using enhance image reduction and deep learning framework", Multimedia Tools and Applications, Feb 2024 [SCI-E indexed] [Springer, IF: 3.6].
5. Rajesh Arunachalam, D. Jayashree, Kuldeep Narayan Tripathi, A. Punitha, S. Padmapriya, and Amit Arora. "Development of Dual Cluster Head Selection Mechanism in WSN based on IoT for Energy-Efficient Data Transmission in Smart City Applications." Ad Hoc & Sensor Wireless Networks, Jan 2024 [SCI-E indexed].
6. Rohit Agrawal, Kuldeep Narayan Tripathi, Ranjeet Kumar Singh, Nitin Arvind Shelke, and Umesh Gupta. "A Secure Image Authentication Technique based on Sparse Approximation and Quantum Mechanism", Digital Signal Processing, Feb 2024 [SCI-E indexed] [Elsevier, IF: 2.9].
7. Shabana Urooj, Rajesh Arunachalam, Mohamad A. Alawad, Kuldeep Narayan Tripathi, D. Sukumaran, and Poonguzhali Illango. "An Effective Model for Network Selection and Resource Allocation in 5G Heterogeneous Network using Hybrid Heuristic-assisted Multi-Objective Function." Expert Systems with Applications, Jan 2024 [SCI-E indexed] [Elsevier, IF: 8.5].
8. Kuldeep Narayan Tripathi, Gagandeep Kaur, Nitin Arora, and Rohit Agrawal. "An efficient mobile edge computing based resource allocation using optimal double weighted support vector transfer regression." Journal of Grid Computing, Aug 2023 [SCI-E indexed] [Springer, IF: 5.5].
9. Kuldeep Narayan Tripathi, and S. C. Sharma, “An Optimal Trust and Secure Model using Deep Metric Learning for Fog-based VANET”, Transactions on Emerging Telecommunications Technologies, June 2023. [SCI-E indexed] [Wiley, IF: 3.6].
10. Kuldeep Narayan Tripathi, Ashish Mohan Yadav, Surendra Nagar, and S. C. Sharma, “ReTrust: reliability and recommendation trust-based scheme for secure data sharing among internet of vehicles (IoV)”, Wireless Networks, April 2023. [SCI-E indexed] [Springer, IF: 3.0].
11. Kuldeep Narayan Tripathi, Ashish Mohan Yadav, and S. C. Sharma, “TREE: TRust-Based Authenticated and Secure Dissemination of Emergency Event Information for the Network of Connected Vehicles,” Arabian Journal for Science and Engineering, vol. 103, Feb 2022. [SCI-E indexed] [Springer, IF: 2.9].
12. Ashish Mohan Yadav, Kuldeep Narayan Tripathi, and S. C. Sharma, “An opposition-based hybrid evolutionary approach for task scheduling in fog computing network,” Arabian Journal for Science and Engineering, 2022. [SCI-E indexed] [Springer, IF: 2.9].
13. Kuldeep Narayan Tripathi, Ashish Mohan Yadav, and S. C. Sharma, “Fuzzy and Deep Belief Network Based Malicious Vehicle Identification and Trust Recommendation Framework in VANETs,” Wireless Personal Communications, vol. 89, pp. 58–77, June 2019. [SCI-E indexed] [Springer, IF: 2.2].
14. Ram Kumar, Kuldeep Narayan Tripathi, and Subhash C Sharma. Optimal Query Expansion Based on Hybrid Group Mean Enhanced Chimp Optimization Using Iterative Deep Learning. Electronics. 2022; 11(10):1556. [SCI-E indexed] [Springer, IF:2.6].
15. Ashish Mohan Yadav, Kuldeep Narayan Tripathi, and S. C. Sharma, “A bi-objective task scheduling approach in fog computing using hybrid fireworks algorithm,” The Journal of Supercomputing, vol. 103, Feb 2022. [SCI-E indexed] [Springer, IF: 3.3].
16. Ashish Mohan Yadav, Kuldeep Narayan Tripathi, and S. C. Sharma, “An enhanced multi-objective fireworks algorithm for task scheduling in fog computing environment,” Cluster Computing, vol. 103, Feb 2022. [SCI-E indexed] [Springer, IF: 4.4].
17. Kuldeep Narayan Tripathi, S. C. Sharma, “A trust-based model (TBM) to detect rogue nodes in vehicular ad-hoc networks (VANETS),” International Journal of Systems Assurance Engineering and Management, vol. 11, no. 1, pp. 426 – 440, April 2020. [ESCI indexed].
18. Gurpreet Singh Panesar, Kuldeep Narayan Tripathi, Jyoti L. Bangare, Rahul Neware, and Skanda Moda Gururajarao, “Handling research issues for big data extraction in the application of Internet of Vehicles (IoV),” International Journal of Systems Assurance Engineering and Management, Jan 2022. [ESCI indexed]. 
19. Kuldeep Narayan Tripathi, Ashish Mohan Yadav, and S. C. Sharma, “DDOS: data dissemination with optimized and secured path using modified particle swarm optimization in vehicular communication network (VCN),” International Journal of Information Technology, Sep. 2020 [Scopus indexed] [Springer].
20. Neelkamal Upadhyay, Kuldeep Tripathi, Ashish Mishra, "A Survey of Association Rule Hiding Approaches" International Journal of Computer Science and Information Technology & Security (IJCSITS) (2249-9555) Vol. 5, No. 01, pp. 190-195, February 2015.
21. Neelkamal Upadhyay, Kuldeep Tripathi, Ashish Mishra," Privacy Preservation in Data Mining by Clustering of Sensitive Association Rule, " International Journal of Modern Communication Technologies & Research (IJMCTR) (2321-0850), Volume 02– Issue 11, pp. 26-30, November 2014.
22. Sandeep Gupta, Kuldeep Narayan Tripathi, "Register Liveness Analysis to Enhance Thread Occupancy",   Engineering and Technology Journal for Research and Innovation (ETJRI), ISSN 2581-8678, Volume V, Issue I, Dec 2022.

International Conferences:

1. Kuldeep Narayan Tripathi, Jaideep Patel, Rohit Agrawal, Ranjeet Kumar Singh, and Aditya Shastri. "An ANOVA Based Analysis of Routing Techniques for Improving QoS in Flying Ad-Hoc Networks (FANETs)." In 2023 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT), pp. 524-529. IEEE, Mar 2024.
2. Kuldeep Narayan Tripathi, Sandeep Gupta, Rohit Agrawal, Gagandeep Kaur, and Ranjeet Kumar Singh. "Analysis of Various Security Threats and Defence Mechanisms for the Vehicular Ad-hoc Networks (VANETs)." In 2023 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT), pp. 1-6. IEEE, Dec 2023.
3. N. Arora, P. Yadav, K. Tripathi and S. Sharma, "Performance of CNN for different facial expression images with varying input dataset sizes," 2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT), Dehradun, India, 2023, pp. 351-355, doi: 10.1109/DICCT56244.2023.10110137.
4. Kuldeep Narayan Tripathi, Ashish Mohan Yadav, S. C. Sharma, “DOSP: Data dissemination with Optimized and Secured Path for Ad-hoc Vehicular Communication Networks”, 17^th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (IEEE MASS-2020).
5. Kuldeep Narayan Tripathi, Gourav Jain, Ashish Mohan Yadav, S. C. Sharma, “Entity-Centric Combined Trust (ECT) algorithm to detect packet dropping attack in vehicular ad-hoc Networks (VANETs)”. 5th International Conference on Computing in Engineering and Technology-2020.
6. Ashish Mohan Yadav, S. C. Sharma, Kuldeep N Tripathi, “A Two-step technique for effective scheduling in cloud-fog computing paradigm”, 5th International Conference on Computational Intelligence and Communication Technology- (CICT-2019), Advances in Intelligent System and Computing (Springer).
7. Kuldeep N Tripathi, S.C Sharma, Gourav Jain, “A New Reputation Based Algorithm (RBA) to Detect Malicious Nodes in Vehicular Ad-hoc Networks (VANETs)”, 3rd International Conference Soft Computing: Theories and Applications, SoCTA 2018.
8. Gourav Jain, Kuldeep N Tripathi, Tripti Mahara, “A Survey of Similarity Measures for Collaborative Filtering based Recommender System)”, 3rd International Conference Soft Computing: Theories and Applications, SoCTA 2018.
9. Kuldeep N Tripathi, S.C Sharma, Ashish Mohan Yadav “Analysis of various trust-based security algorithm in vehicular ad-hoc networks (VANETs)”, International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering - (ICRIEECE), IEEE International Conference on 2018 July 27.
10. K. V. Arya and Kuldeep Narayan Tripathi, "Power-aware and secure routing in mobile and ad-hoc networks," in Industrial and Information Systems (ICIIS), 2013. 8th IEEE International Conference on, pp. 477-482, 17-20 Dec. 2013.

Publications in Journals

1. Nishant Jain and Prasanta K Jana “LRF: A logically randomized forest algorithm for classification and regression problems”, Expert Systems with Applications, Elsevier, Volume 213 Part-C, AN 119225, 2022. https://doi.org/10.1016/j.eswa.2022.119225. (Q1, SCIE, IF-8.665)

2. Nishant Jain and Prasanta K Jana “XRRF: An eXplainable Reasonably Randomised Forest algorithm for classification and regression problems”, Information Sciences, Elsevier, Volume 613 pp. 139-160, 2022. https://doi.org/10.1016/j.ins.2022.09.040 (Q1, SCIE, IF-8.233)

3. Nishant Jain, Abhinav Tomar, and Prasanta K Jana “A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning”, Journal of Intelligent Information Systems, Springer, Volume 56 pp. 279-302, 2021. https://doi.org/10.1007/s10844-020-00614-9 (Q2, SCIE, IF-3.4)

Communicated: (Under Review)

1. Nishant Jain and Prasanta K Jana “DeRF: A Diversity-enriched Random Forest Algorithm ”, IEEE Transactions on Neural Networks and Learning Systems, Q1, SCI, IF-10.4, IEEE, pp. 0-00, 0000*.

2. Mayank Kumar Jain, Dinesh Gopalani, Yogesh Kumar Meena, and Nishant Jain “Implementation of a Novel Divide and Conquer approach-based Fake News Detector for News Sources”, Neural Computing and Applications, Q1, SCI, IF-6.0, SPRINGER, pp. 0-00, 0000*.

Publications in Conference

1. Kanav Gupta, Chirag Paul, and Nishant Jain “Early Autism Spectrum Disorder Prediction using Fine-Tuned Bernoulli’s Naive Bayes Algorithm”, International Conference on Computation of Artificial Intelligence & Machine Learning (ICCAIML), Springer Manipal University Jaipur, Jaipur, Rajasthan, India.

2. Nishant Jain, and Shipra Shukla “SHAPRFs: SHapely Additive eXplanations based Random Forests algorithm for classification problems”, International Conference on Frontiers in Computing and Systems (COMSYS), Springer Indian Institute of Technology, Mandi, Himachal Predesh, India.

3. Nishant Jain, Abhinav Tomar, and Prasanta K Jana “Novel Framework for Performance Prediction of Small and Medium Scale Enterprises: A Machine Learning Approach”, International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, pp. 42-47, 2018. DOI:10.1109/ICACCI.2018.8554747

• Paper presentation on ‘Verification and Testing Technology’ in National Conference MITS Dec-2010.
• Paper presentation on ‘Software Requirement Specification’ in National Conference NITM Jan-201
•  “Tag Based Social Image Retrieval Systems” using Neighbour Voting Algorithm IJERTVol. 3 - Issue 1 (January - 2014).
• "Significance of Software Testing & Quality Assurance through software testing life cycle" in Biyani International Conference (Sept 2015).
• “The Security issue of e-commerce & its Solution” in Biyani International Conference (Oct 2016).
• “Artificial Enviroment for Stressful mental health a review” in Biyani International Conference (Oct 2017).
•  “Compositional Performance of Winax over WiFi” in Biyani International Conference (Sept 2019).

• Kirti Raj Bhatele and Sarita Singh Bhadauria. "Brain structural disorders detection and classification approaches: a review." Artificial Intelligence Review 53.5 (2020): 3349-3401. (SCIE Indexed Journal, Impact Factor: 11.7)
• Kirti Raj Bhatele and Sarita Singh Bhadauria. "Machine learning application in glioma classification: review and comparison analysis." Archives of Computational Methods in Engineering 29.1 (2022): 247-274.(SCIE Indexed Journal, Impact Factor: 9.9)
• Kirti Raj Bhatele and Sarita Singh Bhadauria. "Multiclass classification of central nervous system brain tumor types based on proposed hybrid texture feature extraction methods and ensemble learning." Multimedia Tools and Applications 82.3 (2023): 3831-3858. (Scopus Indexed Journal, Impact Factor: 2.9)
• Kirti Raj Bhatele and Sarita Singh Bhadauria. "Glioma Segmentation and Classification System Based on Proposed Texture Features Extraction Method and Hybrid Ensemble Learning." Traitement du signal 37.6 (2020). (SCI Indexed Journal, Impact Factor: 1.2)
• Kirti Raj Bhatele et al. "Neurodegenerative diseases-Caps: a capsule network based early screening system for the classification of neurodegenerative diseases." Cognitive Neurodynamics 16.6 (2022): 1361-1377.(SCIE Indexed Journal, Impact Factor: 3.5)
• Kirti Raj Bhatele et al. "Covid-19 detection: A systematic review of machine and deep learning-based approaches utilizing chest X-rays and CT scans." Cognitive Computation 16.4 (2024): 1889-1926.(SCIE Indexed Journal, Impact Factor: 4.0).
• Tiwari, D., Bhatele, K. R. et al. (2025). Electrical digital twins–enabled smart grid. In Digital Twins for Smart Cities and Villages (pp. 489-512). Elsevier.
• Jha, A., Bhatele, K. R., Sharma, C., & Tripathi, A. (2023). Online ducation E and Its Repercussions on Engineering Students During Covid-19: A Survey. Journal of Engineering Education Transformations, 36(3). (Scopus Indexed).
• Kirti Raj Bhatele et al.(2012, November). A Performance-Centric Comparative Study of Hybrid Security Protocol Architectures. In Proceedings of All India Seminar on  Engineering 2012 (AISOBE 2012) (pp. 231-238). India: Springer India.(Scopus Indexed).
• Jha, A., Pahareeya, J., Bhatele, K., & Patsariya, S. (2023, March). EDA and Predicting Customer’s Response for Cross-Sell Vehicle Insurance. In International Conference on Information Technology (pp. 157-168). Singapore: Springer Nature Singapore.(Scopus Indexed).
• Kirti Raj Bhatele et al. (2020). Data Analysis on Global Stratification. In Multi-Criteria Decision Analysis in Management (pp. 355-378). IGI Global.

• Ashish Tomar and Sachin Tripathi. A chebyshev polynomial-based authentication scheme using blockchain technology for fog-based vehicular network. IEEE Transactions on Mobile Computing, volume 23, pages 9075–9089, 2024, (Impact Factor: 7.7).
• Divya Rani, Sachin Tripathi, and Ashish Tomar. Bsas: blockchain-based shareable authentication scheme for smart healthcare. Cluster Computing, pages 1–25. Springer, 2024, (Impact Factor: 3.6).
• Arivarasan Karmegam, Ashish Tomar, and Sachin Tripathi. Blockchain-based cross-domain authentication in a multi-domain internet of drones environment. The Journal of Supercomputing, pages 1–28. Springer, 2024, (Impact Factor: 2.5).
• Ashish Tomar, Sachin Tripathi, and K Arivarasan. A blockchain-based certificateless aggregate signature scheme for fog-enabled smart grid environment. IEEE Transactions on Green Communications and Networking, volume 7, pages 1892–1905, 2023, (Impact Factor: 5.3).
• Ashish Tomar and Sachin Tripathi. Bcsom: Blockchain-based certificateless aggregate signcryption scheme for internet of medical things. Computer Communications, volume 212, pages 48–62. Elsevier, 2023, (Impact Factor: 4.5).
• Ashish Tomar, Niraj Gupta, Divya Rani, and Sachin Tripathi. Blockchain-assisted authenticated key agreement scheme for iot-based healthcare system. Internet of Things, volume 23, page 100849. Elsevier, 2023, (Impact Factor: 6.0).
• Ashish Tomar and Sachin Tripathi. Blockchain-assisted authentication and key agreement scheme for fog-based smart grid. Cluster Computing, volume 25, pages 451–468. Springer, 2022, (Impact Factor: 3.6).
• Ashish Tomar and Sachin Tripathi. Bcav: Blockchain-based certificateless authentication system for vehicular network. Peer-to-Peer Networking and Applications, volume 15, pages 1733–1756. Springer, 2022, (Impact Factor: 3.3).
• Ashish Tomar and Joydip Dhar. An ecc based secure authentication and key exchange scheme in multi-server environment. Wireless Personal Communications, volume 107, pages 351–372. Springer, 2019, (Impact Factor: 1.9).
• Ashish Tomar and Joydip Dhar. Cryptanalysis of hash based multi-server key exchange protocol using smart card. International Journal of Information Technology, volume 11, pages 691–696. Springer, 2019.
• Ashish Tomar. A blockchain-based scheme to prevent the sybil attack in vanet. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pages 1–6, 2024.

1. S. Agarwal, K. V. Arya and Y. Kumar Meena, "CNN-O-ELMNet: Optimized Lightweight and Generalized Model for Lung Disease Classification and Severity Assessment," in IEEE Transactions on Medical Imaging, vol. 43, no. 12, pp. 4200-4210, Dec. 2024, doi: 10.1109/TMI.2024.3416744 [SCI IF: 8.9].

2. S. Agarwal, K. V. Arya, and Y. K. Meena “MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification,” in Soft Computing vol. 28, pp. 11535–11551, Oct. 2024, DOI: 10.1007/s00500-024-09901-x, 2024 [SCI IF: 3.1].

3. S. Agarwal and K. V. Arya, “CXRNet: CNN Attention based CXR image classifier,” Expert Systems, 42(1), e13423, Aug 2023, DOI: 10.1111/exsy.13423 [SCI IF: 3].

4. S. Agarwal and K. Agarwal, "Pi-calculus based formal verification of Web Services Composition," International Journal of Grid and Distributed Computing, vol. 8, no. 5, pp. 137–140, 2015 doi: 10.14257/ijgdc.2015.8.5.13. [ESCI Indexed]

5. S. Agarwal, K. V. Arya, and Yogesh Kumar Meena “RL-ACRGNet: Reinforcement Learning based Automatic Radiology Report Generation Model on Chest X-ray images,” Journal of Supercomputing, Springer 2024. [Under revision] [SCI IF: 3.3]

6. S. Agarwal and K. V. Arya, “Covid-19 & Pneumonia Detection Using Multi Model Fusion,” International Journal of Engineering Sciences, vol. 14, no. 4, 2022, doi: 10.36224/ijes.140401.

7. S. Agarwal, N. Tiwari, and M. Dubey, “Checking of web services composition through online movie ticket booking example,” International Journal of Computer Science Research, vol. 5, no. 1, pp. 1-5, 2017.

8. S. Agarwal, S. Tiwari, and S. Pathak, “Describing and Verifying Web Services Composition using PICalculus,” International Journal of Current Engineering and Scientific Research (IJCESR),pp. 89–93, ISSN (PRINT): 2393-8374, (ONLINE): 2394-0697, VOLUME-3, ISSUE-1, 2016, doi:10.21276/Ijcesr.

9. S. Pathak, S. Tiwari, and S. Agarwal, “Digital Image Watermarking in wavelet domain using chaotic sequence,” International Journal of Current Engineering and Scientific Research (IJCESR), pp. 76–81, ISSN (PRINT): 2393-8374, (ONLINE): 2394-0697, VOLUME-3, ISSUE-1, 2016, doi:10.21276/Ijcesr.

National/ International Conferences–

1. A. Verma, S. Agarwal, K. V. Arya, I. Petrlik, R. Esparza and C. Rodriguez, "Image Captioning with Reinforcement Learning," 2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI), Gwalior, India, 2023, pp. 1–7, doi: 10.1109/CVMI59935.2023.10464514. [Scopus]

2. S. Agarwal, D. Yashwanth, K. V. Arya, C. Rodriguez, and P. Lezama, “Enhanced Bidirectional GRUs with Self-Attention for Medical Image Report Generation: A Deep Learning Approach,” Accepted in 8th International Conference on Intelligent Technologies (ICIT) 2023 at University of Matana, Jakarta, Indonesia. [Scopus]

3. M. Kourav, S. Agarwal, K. V. Arya, I. Petrlik, and C. Rodriguez, “Automatic Chest Radiology Report Generation Using Reinforcement Learning,” Proceedings of 7th ASRES International Conference on Intelligent Technologies, pp. 239–247, 2023. doi: 10.1007/978-981-99-1912-3-22. [Scopus]

4. S. Agarwal, S. Tiwari, and S. Pathak, “Describing and Verifying Web Services Composition using PI-Calculus,” Proceedings of International Conference on Futuristic Trends in Engineering, Science, Humanities, and Technology, pp. 119–123, 2016.

5. S. Pathak, S. Tiwari, and S. Agarwal, “Digital Image Watermarking in wavelet domain using chaotic sequence,” Proceedings of International Conference on Futuristic Trends in Engineering, Science, Humanities, and Technology, pp. 108–113, 2016.

6. Attend the international conference at the “International Conference on Artificial Intelligence and Soft Computing” (AISC-12) held in IIT, BHU, Varanasi, 2012. [IEEE UP Section]

• M. Roy and U. Baruah,
  “Enhancing medical image classification through controlled diversity in ensemble learning,”
  Engineering Applications of Artificial Intelligence, Vol. 133, p. 108138, 2024.
  DOI: 10.1016/j.engappai.2024.108138

• M. Roy, U. Baruah, and V. Varma,
  “TransDL: A transfer learning-based concatenated model for COVID-19 identification and analysis of posteroanterior chest X-ray images,”
  Multimedia Tools and Applications, Springer, pp. 1–23, 2023.
  DOI: 10.1007/s11042-023-16825-5

• M. Roy and U. Baruah,
  “Challenges in COVID-19 detection and the imperative for improved methods,”
  Presented at 2nd Hinweis International Conference on Advanced Research in Engineering and Technology (ARET 2024).
  Scopus Indexed – Accepted, 2024

Jigyasa Mishra, Kapil Sharma “Analysis and Investigation on Cluster Based Routing Algorithms in WSN”

published in International Journal Computer Science Network, vol. 5 No.1 June 2015, pp 29-34.

Abhishek Rajawat, Manisha Pathak, Ashish Gupta " Brain Tumor Detection with Chain - Vese Segmentataion Using Ansidoff - Filter" IJIRSET, Volume 11, Issue 7, July 2022, DOI:10.15680/IJIRSET.2022.1107161

Shailendra Pal, Manisha Pathak, Aashish Gupta " An Approach for Fake News Detection by using Deep Learning Technique " " IJIRSET Volume 11, Issue 7, July 2022, DOI:10.15680/IJIRSET.2022.1107160

Ritesh Mourya, Manisha Pathak " Heart Disease Detection using Data Mining" IJIRSET Volume 11, Issue 3, March 2022, DOI:10.15680/IJIRSET.2022.1103083

Priyanka Srivastava, Ashish Gupta, Manisha Pathak " Content Based Image Retrieval System Using
Improved GSA Algorithm" IJIRSET Volume 11, Issue 2, February 2022,  DOI:10.15680/IJIRSET.2022.1102011