Aditya Khamparia, Ph.D.

Dr. Aditya Khamparia is an eminent academician; plays versatile roles and responsibilities juggling between lectures, research, publications, consultancy, community service, PhD etc. With 8 years of rich expertise in teaching and one year in industry; he focuses on rational and practical learning. He has contributed massive literature in the fields of Educational Technologies, Intelligent Data Analysis, Nature-Inspired Computing, Machine Learning, Deep Learning and Soft Computing. He has actively been an organizing end of various reputed International conferences. He is not only backed with a strong profile but his innovative ideas, research’s end results and notion of implementation of technology in the Educational and medical field is by and large contributing to the society significantly. He has completed his Post-Doc from University of Fortaleza, Brazil in 2019. He has completed his PhD (CSE) from Lovely Professional University (LPU), M. Tech. (CSE) from Vellore Institute of Technology (VIT), B.E. (CSE) from Rajiv Gandhi Technical University and also UGC-NET and GATE qualified. He has been involved in teaching subjects like Artificial Intelligence, Machine Learning, Neural Networks, Data Structures, Soft Computing, Python Programming etc. Currently, he has published 73 Scientific research papers in reputed International Journals, Book Chapters and Conferences including 26 SCI Indexed Journals of IEEE, Elsevier, Springer and Wiley. He has been guest editor in special issues including SCOPUS Indexed Journals and Book Chapters etc. Invited as a Faculty Resource Person/Session Chair/Reviewer/TPC member in different FDP, conferences and journals and a rich experience of handling academic and administrative responsibilities like Head of the Department, Research Programme Coordinator, Examination Cell, Journal Editorial Review Board etc. His research area includes Artificial Intelligence, Intelligent Data Analysis, Educational Technologies, Machine Learning, Deep Learning, and Soft Computing. He is also associated with various professional bodies like ISTE, IAENG, IACSIT, CSI, ACM, IET, Internet Society, etc. To excel in the field of Computer Science & IT by converting his innovative ideas and acquired skills into executable education values in a highly cordial and professional environment for continuous learning and improvement.

Books

Publications

• Aditya Khamparia, Deepak Gupta, Joel JPC Rodrigues, Victor Hugo C de Albuquerque.: “DCAVN: Cervical cancer prediction and classification using deep convolutional and variational autoencoder network”. In: Multimedia Tools and Applications (Springer, SCIE, IF =2.69), DOI: https://doi.org/10.1007/s11042-020-09607-w, pp. 1-17, 2020.

  (IF: 2.69, SCIE)

• Aditya Khamparia, Deepak Gupta, Victor Hugo C de Albuquerque, Arun Kumar Sangaiah, Rutvij H. Jhaveri: “Internet of health things driven deep learning system for detection and classification of cervical cells using transfer learning”. In: Journal of Supercomputing (Springer, SCIE, IF=2.25), DOI: 10.1007/s11227-020-03159-4, 2020.

  (IF: 2.25, SCIE)

• Aditya Khamparia*, Babita Pandey, Devendra K Pandey, Deepak Gupta, Ashish Khanna, Victor Hugo C. de Albuquerque: “Comparison of RSM, ANN and Fuzzy logic for extraction of Oleonolic acid from Ocimum Sanctum”. In: Computers in Industry (Elsevier, SCIE, IF=4.76), Vol. 117, May 2020, 103200, DOI: https://doi.org/10.1016/j.compind.2020.103200, 2020.

  (IF: 4.76, SCIE)

• Rajkamal Kaur, Lalit Kumar Singh, Aditya Khamparia, “Modeling uncertainty of instrument and control system of nuclear power plant”. In: Annals of Nuclear Energy (Elsevier, SCIE, IF=1.6), Vol. 139, 107207, pp. 1-19, 2020.

  (IF: 1.61, SCIE)

• Aditya Khamparia*, Prakash Kumar Singh, Poonam Rani, Debabrata Samanta, Ashish Khanna, Bharat Bhushan.: An internet of health things‐driven deep learning framework for detection and classification of skin cancer using transfer learning, Transactions on Emerging Telecommunications Technologies (2020), Wiley: e3963 (Wiley, SCI, IF = 1.8).

  (IF: 1.82 SCIE)

• Praveen Bhanodia, Aditya Khamparia, Babita Pandey.: Supervised Shift k-Means Based Machine Learning Approach for Link Prediction Using Inherent Structural Properties of Large Online Social Network, Computational Intelligence (2020), Wiley, DOI: 10.1111/COIN.12372 (Wiley, SCI, IF=1.2).

  (IF: 1.20, SCIE)

• Amritpal Singh, Aditya Khamparia.: A hybrid whale optimization-differential evolution and genetic algorithm-based approach to solve unit commitment scheduling problem: WODEGA, Sustainable Computing: Informatics and System,(Elsevier, SCI-E: 2.72), Vol. 28, pp. 100442, 2020.

  (IF: 2.72, SCIE)

• Aditya Khamparia*, Sagar Pande, Deepak Gupta, Ashish Khanna, Arun Kumar Sangaiah: “Multi level framework for Anamoly detection in Social Networking”. In Library Hi-Tech (EMERALD, SCIE, IF=1.2), DOI: 10.1108/LHT-01-2019-0023, 2020.

  (IF: 1.22, SCIE)

• Utkarsh Agrawal, Jatin Sharma, Rahul Singh, Deepak Gupta, Ashish Khanna, Aditya Khamparia.: “Hybrid Wolf-Bat algorithm for optimization of connection weights in multi-layer perceptron”. In: ACM Transactions on Multimedia Computing Communications and Applications (ACM Transactions, IF= 2.25), DOI: https://doi.org/10.1145/3350532, 2020.

  (IF: 2.25, SCIE)

• Utkarsh Agrawal, Jatin Sharma, Rahul Singh, Deepak Gupta, Ashish Khanna, Aditya Khamparia.: “Hybrid Wolf-Bat algorithm for optimization of connection weights in multi-layer perceptron”. In: ACM Transactions on Multimedia Computing Communications and Applications (ACM Transactions, IF= 2.25), DOI: https://doi.org/10.1145/3350532, 2020.

  (IF: 2.25, SCIE)

• Vikash Chouhan, Sanjay Kumar Singh, Aditya Khamparia, Deepak Gupta, Prayag Tiwari, Catarina Moreira, Robertas Damaševičius, Victor H.C. de Albuquerque, “A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-Ray Images”, 2020, Applied Sciences (MDPI), 10(2), 559, SCI (IF 2.21).

  (IF: 2.21, SCIE)

• Rahul Malik, Aditya Khamparia, Sahil Garg, Deepak Gupta, Bong Jun Choi, M Shamim Hossain.: Reversible data hiding and smart multimedia computing using big data in remote sensing systems, (IEEE Access, SCIE, IF:3.06), Vol. 8, pp. 153546-153560, 2020

  (IF: 3.06, SCIE)

• Bharat Bhushan, Aditya Khamparia, K Martin Sagayam, Sudhir Kumar Sharma, Mohd Abdul Ahad, Narayan C Debnath.: Blockchain for smart cities: A review of architectures, integration trends and future research directions, Sustainable cities and society (Elsevier, SCI-E, IF: 5.67), Vol. 61, pp. 102360, 2020.

  (IF: 5.67, SCIE)

• Aditya Khamparia, Gurinder Saini, Deepak Gupta, Ashish Khanna, Shrasti Tiwari, Victor Hugo C. de Albuquerque, “Seasonal Crops Disease Prediction and Classification using Deep Convolutional Encoder Network”, Circuits System and Signal Processing, 2019, https://doi.org/10.1007/s00034-019-01041-0, SCIE (IF 1.99).

  (IF: 1.99, SCIE)

• Aditya Khamparia, Babita Pandey, Deepak Gupta, Joel J P C Rodrigues, Ashish Khanna, Prayag Tiwari, “Investigating the importance of psychological and environmental factors for improving learner’s performance using Hidden Markov Model”, IEEE Access, Vol. 7 (1), pp. 21559-21571, 2019, SCIE (IF 4.09).

  (IF: 4.09, SCIE)

• Aditya Khamparia, Babita Pandey, Deepak Gupta, Joel J P C Rodrigues, Ashish Khanna, Prayag Tiwari, “Investigating the importance of psychological and environmental factors for improving learner’s performance using Hidden Markov Model”, IEEE Access, Vol. 7 (1), pp. 21559-21571, 2019, SCIE (IF 4.09).

  (IF: 4.09, SCIE)

• Praveen Bhanodia, Babita Pandey, Devendra Kr Pandey, Aditya Khamparia, “A Comprehensive Survey of Link Prediction in Social Networks: Techniques, Parameters and Challenges”, Expert System with Applications, Vol. 124, pp. 164-18, 2019, SCI (IF 4.29).

  (IF: 4.29, SCIE)

• Aditya Khamparia, Karan M Singh.: “A Systematic Survey on Deep Learning Architectures and Applications”, Expert System, https://doi.org/10.1111/exsy.12400, Wiley, SCIE (IF 1.5), 2019.

  (IF: 1.5, SCIE)

• Aditya Khamparia, Babita Pandey, Ashish Luhach, Aman Singh, Devendra K Pandey.: “Classification and Identification of Primitive Kharif Crops using Supervised Deep Convolutional Networks”. In: Sustainable Computing: Informatics and Computing (ELSEVIER, SCIE, IF = 1.8), https://doi.org/10.1016/j.suscom.2019.07.003, 2019.

  (IF: 1.8, SCIE)

• Aditya Khamparia, Gurinder Saini, Babita Pandey, Shrasti Tiwari, Deepak Gupta, Ashish Khanna.: “KDSAE: Chronic kidney disease classification with multimedia data learning using deep stacked autoencoder network”. In: Multimedia Tools and Applications (SPRINGER, SCIE, IF=2.01), https://doi.org/10.1007/s11042-019-07839-z, 2019.

  (IF: 2.01, SCIE)

• Aditya Khamparia, Babita Pandey, Shrasti Tiwari, Deepak Gupta, Ashish Khanna, Joel J.P.C Rodrigues, “An integrated Hybrid CNN-RNN model for visual description and generation of captions”. In: Circuit Systems and Signal Processing (Springer, SCIE, IF=1.99), DOI: https://doi.org/10.1007/s00034-019-01306-8, 2019.

  (IF: 1.99, SCIE)

• Aditya Khamparia, Aman Singh, Divya Anand, Deepak Gupta, Ashish Khanna, Arun Kumar N, Joseph Tan, “A Novel deep learning based multi-model ensemble methods for prediction of neuromuscular disorders”, Neural Computing and Applications, 2018, https://doi.org/10.1007/s00521-018-3896-0, SCIE (IF 4.6).

  (IF: 4.66, SCIE)

• Aditya Khamparia and Babita Pandey, “Effects of Visual Map Embedded Approach on Students Learning Performance using Briggs-Myers Learning Style in Word Puzzle Gaming Course”, Computers and Electrical Engineering, 5 Jan 2018 Online DOI: 10.1016/j.compeleceng.2017.12.041. (IF = 2.1) Elsevier (SCI indexed).

  (IF: 2.11, SCIE)

• Dang NH Thanh, Nguyen Ngoc Hien, VB Surya Prasath, Uğur Erkan, Aditya Khamparia, “Adaptive Thresholding Skin Lesion Segmentation with Gabor Filters and Principal Component Analysis”, Intelligent Computing in Engineering, pp. 811-820, Singapore, Springer, 2020.

  (Scopus Indexed)

• Aditya Khamparia, Babita Pandey, Aman Singh, Shrasti Tiwari, Parampreet Kaur, “An adaptive web based educational system using HMM approach for C programming”, ICAICR 2018, CCIS, Springer, Shimla, India, 2018.

  (Scopus Indexed)

• Aditya Khamparia, Babita Pandey, Parampreet Kaur, Shrasti Tiwari. E-Knowledge Analyzing with Java Ontology, In: 2018 IEEE 6th International Conference on MOOCs, Innovation and Technology in Education (MITE), Pages 60-68, IEEE, Hyderabad, India, 2018.

  (Scopus Indexed)

• Yajurv Bhatia, Aman Bajpayee, Deepanshu Raghuvanshi, and Himanshu Mittal. "Image Captioning using Google's Inception-resnet-v2 and Recurrent Neural Network", in Proc. of IEEE International Conference on Contemporary Computing, India, pp. 1-6, 2019. [Paper]

  (Scopus Indexed)

• Babita Pandey, R. B. Mishra and Aditya Khamparia, CBR Based Approach for Adaptive Learning in E-Learning System, IEEE International Conference on Asia-Pacific World Congress on Computer Science and Engineering (APWC), 4-5 Nov, 2014, pp. 1-6, The University of Fiji, Fiji, DOI: 10.1109/APWCCSE.2014.7053877https://link.springer.com/chapter/10.1007/978-981-13-1595-4_18

  (Scopus Indexed)

• Aditya Khamparia, Namita Sharma, Babita Pandey, Ontology based Product Information Retrieval ECOMMTOLOGY, In proceeding of IEEE Second International Conference on Computational Intelligence & Communication Technology (CICT) , 2016, pp. 627 – 631, (held in Ghaziabad, New Delhi). DOI: 10.1109/CICT.2016.130

  (Scopus Indexed)

• Aditya Khamparia, Monika Rani, Babita Pandey, O P Vyas, Blended e Learning Training (BeLT): Enhancing Railway Station controller Knowledge, Second International Conference on ICT for Competitive Strategies, 4-5 March,2016, Udaipur, INDIA. DOI: 10.1145/2905055.2905170

  (Scopus Indexed)

• Aditya Khamparia, Babita Pandey, Architecture and performance based comparison of semantic web service processes, 2nd IEEE International Conference on Next Generation Computing Technologies (NGCT-2016) Dehradun, India 14-16 October 201610.1109/NGCT.2016.7877423.

  (Scopus Indexed)

• Aditya Khamparia, Rubina, Amandeep Gahrier, Real time Prediction of Bus Arrival Time: A review, 2nd IEEE International Conference on Next Generation Computing Technologies (NGCT-2016) Dehradun, India 14-16 October 2016 978-1-5090-3257-0/16/$31.00 ©2016 IEEE.

  (Scopus Indexed)

• Aditya Khamparia, Vikas Pardesi.: Encryption/Decryption of X-ray images using Elliptical curve cryptography with issues and applications. In: Emerging ICT for bridging the future- Springer link, JNTU Hyderabad. (December 2014).

  (Scopus Indexed)

• Aditya Khamparia, Saira Banu.: Program analysis with dynamic instrumentation Pin and Performance Tools. In: Proceedings of the IEEE International conference on Emerging Trends in Computing, Communication and Nanotechnology, Tamilnadu. (March 2013).

  (Scopus Indexed)

• Aditya Khamparia, Vikas pardesi, Narendra Kr Bagde.: A secure framework in Brokerage of heterogeneous cloud environment for multiple cloud providers. In; Proceedings of the IEEE CONFLUENCE, 978-1-4799-4236-7/14/$31.00_c 2014 IEEE (2014).

  (Scopus Indexed)

• Aditya Khamparia, Babita Pandey, An adaptive Java Tutorials using HMM Based Approach, in Proceedings of Springer Book Series on “Advances in Intelligent Systems and Computing” (SCOPUS), at North West Group of Institutions, Moga, Punjab, India during 23-24 June 2017.

  (Scopus Indexed)

Education

Ph.D. Thesis

• Due to lack of an inappropriate course content sequencing, classification, categorization and prediction of learner on the basis of their performance and providing security to E-learning system by removing threats there is a need to develop an intelligent computing method based E-learning system that integrate soft computing and probabilistic based techniques like Artificial Neural Network (ANN), Data Mining (DM), Case based Reasoning (CBR), Hidden Markov Model (HMM) and Petri nets with usage of forward hidden states, security metrics, psychological and cognitive parameters for providing adaptive learning content according to learner interest, goal, preferences and skills. The main objective of the thesis is to reduce learning cost, provide flexible course delivery according to learner characteristics and behavior, gathers more efficient approaches for learning activities such as learning path sequencing, object recommendation and optimization of course delivery with the help of intelligent computing techniques which improve performance of learner.

M.Tech. Thesis