Dr. Sanjay Kumar

Computer Science and Engineering

Phone:0
Email: sanjay.kumar@dtu.ac.in

Qualifications

B.Tech, M.Tech (IIT Delhi), Ph.D. (IIT Delhi)

Areas of Interest

Machine Learning, Deep Learning, Data Science, Social Network Analysis, and Algorithm

Research/Teaching Interest

    Machine Learning, Deep Learning, Data Science,  Social Network  Analysis, Recommender Systems, and  Algorithm Design

Google Scholar https://scholar.google.com/citations?user=9ukv0NIAAAAJ&hl=en

ORCID https://orcid.org/0000-0002-8951-5996

Honor/Awards

  • Recognized one among the top 2% of influential scientists globally for the last two years 2022 & 2023 in the domain of ”Information and Communication Technologies” (As per the list released by the Stanford University and Elsevier)
  • Reciepint of Premier and Commendable Research Award for Excellence in Research by Delhi Technological University (DTU), for last four consecutive years (2020 to 2023)

 Journal Publications (SCI/SCIE):

(35) S. Kumar, D. Kurchaniya, "D-SCAN: Dual Stream Spatiotemporal Channel-Wise Attention Network With Point-Wise ConvBi-LSTM for Activity Recognition," in IEEE Transactions on Consumer Electronics, 70(4), 7244-7251, 2024, doi: 10.1109/TCE.2024.3425610. (IF-4.3)

(34) S. Kumar, A. Kumar, A. Mallik, "TLP-NEGCN: Temporal Link Prediction via Network Embedding and Graph Convolutional Networks," IEEE Transactions on Computational Social Systems, 11(3), 4454-4464, 2024, doi: 10.1109/TCSS.2024.3367231 (IF- 4.74)

(33) S. Kumar, A. Kumar, A. Mallik, R. R. Singh, "OptNet-Fake: Fake News Detection in Socio-Cyber Platforms Using Grasshopper Optimization and Deep Neural Network". IEEE Transactions on Computational Social Systems, 11(4), 4965-4974, 2024,  DOI: 10.1109/TCSS.2023.3246479, ( IF- 4.74)

(32) S. Kumar, A. Raj Chauhan, Akhil, A. Kumar and G. Yang, "Resp-BoostNet: Mental Stress Detection From Biomarkers Measurable by Smartwatches Using Boosting Neural Network Technique," IEEE Access, 12, 149861-149874, 2024, doi: 10.1109/ACCESS.2024.3461588 (IF-3.4)

(31)  S. Kumar, A. Kumar, D. K. Jain, A. Mallik, "Modified node2vec and attention based fusion framework for next POI recommendation", Information Fusion, 101, 101998, 2024 (IF- 14.8)

(30) S. S. Sengar , A. B. Hasan, S. Kumar,  F. Carroll, "Generative artificial intelligence: a systematic review and applications", Multimedia Tools and Applications, 1-40, 2024

(29) F. Ziya, S. Kumar, "GSVAELP: integrating graphSAGE and variational autoencoder for link prediction", Multimedia Tools and Applications, 1-27, 2024

(28) S. Kumar, "Negative stances detection from multilingual data streams in low-resource languages on social media using BERT and CNN-based transfer learning model", ACM Transactions on Asian and Low-Resource Language Information Processing, 23(1), 1-18, 2024

(27)  E. Mahajan, H. Mahajan, S. Kumar, "EnsMulHateCyb: Multilingual hate speech and cyberbully detection in online social media", Expert Systems with Applications, 236, 121228, 2024 (IF-7.5)

(26)  A. Kumar, A. Mallik, S. Kumar, "HumourHindiNet: Humour detection in Hindi web series using word embedding and convolutional neural network", ACM Transactions on Asian and Low-Resource Language Information Processing, 23(7), 1-21, 2024

(25)  A. Kaushal,  S. Kumar, R. Kumar"A review on deepfake generation and detection: bibliometric analysis", Multimedia Tools and Applications, 1-41, 2024

(24) D. Kurchaniya,  S. Kumar, "Two stream deep neural network based framework to detect abnormal human activities", Journal of Electronic Imaging, 32(4), 043021-043021, 2023

(23) S. Kumar, A. Mallik, "Covid-19 detection from chest x-rays using trained output based transfer learning approach", Neural processing letters, 55(3), 2405-2428, 2023

(22) S. Kumar, A. Mallik, B.S. Panda, “Influence Maximization in Social Networks using Transfer Learning via Graph-based LSTM", Expert Systems with Applications, 212, 2023, 118770, https://doi.org/10.1016/j.eswa.2022.118770 (SCI, IF: 8.655)

(21)  A. Gupta, I. Khatri, A. Choudhry, S. Kumar "MCD: A modified community diversity approach for detecting influential nodes in social networks", Journal of Intelligent Information Systems, 61(2), 473-495, 2023

(20) S. Kumar, A. Kumar, B.S. Panda, ”Identifying Influential Nodes for Smart Enterprises using Community Structure with Integrated Feature Ranking", IEEE Transactions on Industrial Informatics, 2023, 10.1109/TII.2022.3203059 (SCI, IF: 11.648)

(19) S. Kumar, A. Kumar, A. Mallik,  S. Dhall, "Opinion leader detection in Asian social networks using modified spider monkey optimization". ACM Transactions on Asian and Low-Resource Language Information Processing, 22(5), pp.1-26, https://doi.org/10.1145/3555311 (SCI, IF: 1.43)

(18) S. Kumar, A. Mallik, "Word2Vec and LSTM based deep learning technique for context-free fake news detection". Multimedia Tools and Applications, 2023, pp.1-22,  https://doi.org/10.1007/s11042-023-15364-3 (SCI, IF- 2.577)

(17) S. Kumar, A. Mallik, A. Kumar, J. Del Ser, G. Yang,  "Fuzz-ClustNet: Coupled fuzzy clustering and deep neural networks for Arrhythmia detection from ECG signals". Computers in Biology and Medicine, p.106511, 2023. https://doi.org/10.1016/j.compbiomed.2022.106511 (SCI, IF: 6.698)

(16) S. Kumar, N. Kumar, A. Dev, S. Naorem, "Movie genre classification using binary relevance, label powerset, and machine learning classifiers". Multimedia Tools and Applications, 82(1), pp.945-968, 2023, https://doi.org/10.1007/s11042-022-13211-5 (SCI, IF- 2.577)

(15) S. Kumar, A. Mallik, S. S. Sengar, "Community Detection in Complex Networks using Stacked Autoencoders and Crow Search Algorithm", The Journal of Supercomputing https://doi.org/10.1007/s11227-022-04767-y (SCIE, IF: 2.6)

(14) A. Mallik , A. Khetarpal, S. Kumar,  "ConRec: malware classification using convolutional recurrence", Journal of Computer Virology and Hacking Techniques, 18(4), 297-313, 2022

(13) S. Kumar, A. Mallik, A. Khetarpal, B. S. Panda, "Influence Maximization in Social Networks using Graph Embedding and Graph Neural Network," Information Sciences, 2022, https://doi.org/10.1016/j.ins.2022.06.075 (SCI, IF: 6.795)

(12) S. Kumar, A. Kumar, N. Aggarwal, "SIRA: A Model for Propagation and Rumor Control on Social Networks with Epidemic Spreading and Immunization for Healthcare 5.0", Soft Computing, 2022,  https://doi.org/10.1007/s00500-022-07397-x (SCI, IF: 3.653)

(11) S. Kumar, A. Mallik, B.S. Panda, ”Link prediction in complex networks using node centrality and light gradient boosting machine." World Wide Web, pp. 1-27, 2022, https://doi.org/10.1007/s11280-021-01000-3 (SCIE, I.F- 2.76)

(10) S. Kumar, A. Gupta, I. Khatri, “CSR: A Community based Spreaders Ranking Algorithm for Influence Maximization in Social Networks, World Wide Web, pp. 1-20, 2022, https://doi.org/10.1007/s11280-021-00996-y (SCIE, I.F- 2.76)

(9) S. Kumar, S. Anand, Rahul, A. Mallik, "Integrating Node Centralities, Similarity Measures, and Machine Learning Classifiers for Link Prediction", Multimedia Tools and Applications, 2022, https://doi.org/10.1007/s11042-022-12854-8 (SCIE, I.F: 2.75)

(8) S.  Kumar,  A. Panda, "Identifying influential nodes in weighted complex networks using an improved WVoteRank approach", Applied Intelligence, 52, 1838–1852, 2022, https://doi.org/10.1007/s10489-021-02403-5 (SCI, I.F- 5.086)

(7) S. Kumar,  D. Lohia, D. Pratap, B.S. Panda, "MDER: modified degree with exclusion ratio algorithm for influence maximisation in social networks", Computing, 2022, pp.1-15, https://doi.org/10.1007/s00607-021-00960-8, (SCI, I.F.- 2.2)

(6) S. Kumar, L. Singhla, K. Jindal, K. Grover,   B.S. Panda,  "IM-ELPR: Influence maximization in social networks using label propagation based community structure", Applied Intelligence, 51, 7647–7665, 2021, https://doi.org/10.1007/s10489-021-02266-w  (SCI, I.F- 5.086)

(5) S. Kumar,  M. Saini, M. Goel, B.S. Panda, "Modeling information diffusion in online social networks using a modified forest-fire model", Journal of intelligent information systems, 56(2), 355-377, 2021, https://doi.org/10.1007/s10844-020-00623-8 (SCIE, I.F- 1.88)

(4) S. Kumar, A. Bhowmik, N. Bhat,  "Evolution of automatic visual description techniques-a methodological survey", Multimedia Tools and Applications,  80, 28015–28059, 2021, https://doi.org/10.1007/s11042-021-10964-3 (SCIE, I.F- 2.75)

(3) S. Kumar, B.S. Panda,  D.Aggarwal, "Community detection in complex networks using network embedding and gravitational search algorithm", Journal of Intelligent Information Systems, 57, 51–72, 2021, https://doi.org/10.1007/s10844-020-00625-6 (SCIE, I.F- 1.88)

(2) S. Kumar, N. Bhat,  B. S. Panda, "Analysis of social network metrics based on the model of random recursive tree", Journal of Interdisciplinary Mathematics, 23(1), 237-246, 2020

 (1) S.  Kumar,  B.S. Panda,  "Identifying influential nodes in Social Networks: Neighborhood Coreness based voting approach", Physica A: Statistical Mechanics and its Applications, 553, 2020, p.124215 .https://doi.org/10.1016/j.physa.2020.124215 (SCIE, I.F- 3.263)

 
Conference Publications:-

28. A. Kumar, Y. Kumar, A. Kumari, S. Kumar. "IoT-Enabled Systems for E-Waste Monitoring and Recycling." In Integrated Waste Management: A Sustainable Approach from Waste to Wealth, pp. 375-394. Singapore: Springer Nature Singapore, 2024.

27. A. K. Verma, A. Soren, A. K. Shrivastav, S. Kumar. "Fusion of Transformer Model and Skeleton Detection Model for Abnormal Human Activity Detection with Transfer Learning." In 2023 IEEE World Conference on Applied Intelligence and Computing (AIC), pp. 556-561. IEEE, 2023.

26. A. Mathur, A. Dabas, P. Rana, S. Kumar. "Recoloring Grayscale Images using GAN." In 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), pp. 1628-1632. IEEE, 2023.

25. S. Kumar, S. Dua, S. Rastogi. "Anomaly detection: A machine learning and deep learning perspective." In 2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3), pp. 1-6. IEEE, 2023.

24. S. Kumar, P. Dhingra, P. Jaiswal, R. Bharti. "Fake news classification using vectorized semantic and syntactical analysis." In Advances in Data and Information Sciences: Proceedings of ICDIS 2021, pp. 539-550. Singapore: Springer Singapore, 2022.

23. A. Chakraborty, S Kumar. "Transfer Learning-Based Malware Classification." In Soft Computing for Problem Solving: Proceedings of the SocProS 2022, pp. 23-34. Singapore: Springer Nature Singapore, 2023.

22. S. Sharma, S Kumar. "Seed Set Selection in Social Networks Using Community Detection and Neighbourhood Distinctness." In Congress on Intelligent Systems: Proceedings of CIS 2021, Volume 1, pp. 609-619. Singapore: Springer Nature Singapore, 2022.

21. S. Kumar, A. Nagar, A. Kumar, A. Singh. "Hate speech detection: A survey." In 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), pp. 171-176. IEEE, 2022.

20. S. Sharma, S. Kumar. "Hybrid Centrality Filter Based Influential Spreader Selection in Social Networks." In 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), pp. 151-156. IEEE, 2021.

19. H. Tiwari, S. Kumar. "Link Prediction in Social Networks Using Node Embeddings with Nature Inspired Approach." In 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), pp. 145-150. IEEE, 2021.

18. S. Kumar, and R. Hanot. "Community Detection Using Fire Propagation and Boundary Vertices." In Congress on Intelligent Systems: Proceedings of CIS 2020, Volume 2, pp. 253-267. Springer Singapore, 2021.

17. S. Kumar, R. Bansal, R. Mehta. "A Study of Blending Ensembles for Detecting Bots on Twitter." In Innovative Data Communication Technologies and Application: Proceedings of ICIDCA 2020, pp. 29-40. Springer Singapore, 2021.

16. A. Miglani, H. Madan, S. Kumar, S. Kumar,  "A literature review on brain tumor detection and segmentation." In 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS), pp. 1513-1519. IEEE, 2021.

15. P. Kumar, R. Jain, S. Chaudhary, S. Kumar, "Solving community detection in social networks: A comprehensive study." In 2021 5th International Conference on Computing Methodologies and Communication (ICCMC), pp. 239-345. IEEE, 2021.

14. Y. Saini, V. Bachchas, Y. Kumar, S. Kumar, "Emotion Scanning of the World’s Best Colleges Using Real-Time Tweets." In Evolutionary Computing and Mobile Sustainable Networks: Proceedings of ICECMSN 2020, pp. 317-323. Springer Singapore, 2021.

13. P. Bansal, T. Sharma, R. Garg, S. Kumar, "Auto-Colorization of Images: Fuzzy c-Means and SLIC Approaches." In Second International Conference on Networks and Advances in Computational Technologies: NetACT 19, pp. 273-283. Springer International Publishing, 2021.

12. S. Chaudhary, S. Kumar, R. K. Yadav, S. Kumar,  "Node classification in complex networks using network embedding techniques." In 2020 5th International Conference on Communication and Electronics Systems (ICCES), pp. 369-374. IEEE, 2020.

11. S. S. Singh, V. Gupta, S. Kumar,  "Predicting Link Sign in Online Social Networks based on Social Psychology Theory and PageRank." In 2020 5th International Conference on Communication and Electronics Systems (ICCES), pp. 806-812. IEEE, 2020.

10. N. Bhat, B. S. Panda, S. Kumar, "Analysis of social network metrics based on the model of random recursive tree." Journal of Interdisciplinary Mathematics 23, no. 1 (2020): 237-246.

9. S. Kumar, N. Harariya, and A. Bhowmik. "Energy Aware SEP Based on Dual Cluster Heads and Dual Sink Approach in WSN." In Next Generation Computing Technologies on Computational Intelligence: 4th International Conference, NGCT 2018, Dehradun, India, November 21–22, 2018, Revised Selected Papers 4, pp. 281-295. Springer Singapore, 2019.

8. M. Kumar, S. Kumar, "Predicting Customer Churn Using Artificial Neural Network." In 20thInternational Conference on Engineering Applications of Neural Networks, pp. 299-306. Springer, Cham, 2019. Crete, Greece.

7. S. Kumar, A. Bhowmik, N. Bhat. "Eye Disease Prediction from Optical Coherence Tomography Images with Transfer Learning." In 20thInternational Conference on Engineering Applications of Neural Networks, pp. 104-114. Springer, Cham, 2019. Crete, Greece.

6. S. Kumar, S. Katyal, R. Sakhuja, S. Gupta. "Object Detection in Foggy Conditions by Fusion of Saliency Map and YOLO." In 2018 12th International Conference on Sensing Technology (ICST), pp. 154-159. IEEE, 2018. University of Limerick, Limerick, Ireland.

5. S. Kumar, S. Pandey,  R. Gupta, “Evaluation and Customization of Community Detection Algorithms in Large Social Networks”, IEEE Sponsored 2nd International Conference on Computing  Methodologies and Communication (ICCMC 2018), Erode, Tamil Nadu, India.

4. S. Kumar, “Securing Data at rest using Hill Cipher and XOR-based operations”, IEEE Sponsored 2nd International Conference on Electronics, Communication, and Aerospace Technology (ICECA2018), Coimbatore, India.

3. S. Kumar, M. Kumar  ”A study on the Image Detection using Convolution Neural Network and Tensor Flow  ”, IEEE Sponsored  International Conference on Inventive Research in Computing Applications (ICIRCA 2018), Coimbatore, India.

2. S. Kumar, S. Katyal” Effective Analysis and Diagnosis of Liver Disorder by Data Mining”, IEEE Sponsored International Conference on Inventive Research in Computing Applications (ICIRCA 2018), Coimbatore, India.

1. S. Kumar, A. Panda, S. Choudhary “Vital user classification in wiki-talk dataset using centralities in Temporal graph” International Conference on Discrete Mathematics and its Application to Network Science(ICDMANS 2018), BITS Pilani, K K Birla Goa Campus

 

Invited Lectures:-

7. Emotion Recognition Using LargeLanguage Models: An Overview, IEEE ICPEICES 2024 organized by Deptof Electrical Engineering, DTU, 2024-04-27

6. Introduction to Artificial Neural Networkand its applications, 5 days Faculty Development Programmeon IoT and Artificial Intelligence onemerging computing, Paradigmsorganized by JIMS, 2024-01-23

5. Supervised Learning and it's real-lifeApplication, Invited Lecture at Ajay Kumar GargEngineering College, Ghaziabad, 2024-01-11

4. Introduction to Deep Learning, One week short Term Training Program/FDP on Introduction to High PerformanceComputing (HPC) and its application inArtificial Intelligence organized by thedept of CSE, DTU, 2023-08-10

3. Deep Learning Revolution: Unveiling theReal-Life Impact of Artificial NeuralNetworks, Expert talk in Indira Gandhi DelhiTechnological University For Women(IGDTUW), New Delhi, 2023-07-24

2. “Supervised Machine LearningTechniques”, Invited lecture in Foundation Week ofCentral University of Himachal Pradesh,Dharamshala, 2023-01-25

1. Hate Speech examination using LatentDirichlet allocation, self organizing mapsand k means clustering, International Conference on entComputing and Control Systems(ICICCS) 2020, 2020-05-13

 

 

Rersearch Guidance:- 

Ph.D. (Ongoing)

1.  Ms. Diksha Kurchaniya, Topic:- Developement of Deep Learning based Framework for Activity Recognition

2. Ms. Fatima Ziya, Topic- Developement of Link Prediction Model in Social Networks

3. Ms. Anukriti Kaushal, (Co-supervision with Dr. Rajeev Kumar) Topic-  Development of Intelligent Image-Forensics Strategies

4. Ms. Shristi Achari, (Co-supervision with Dr. Rohit Beinwal), Topic- 

5. Ms. Shreya Shukla, Topic- TBD

Work Experience:

1. Nov 2016- To date,

      Assistant Professor,

      Department of Computer Science and Engineering,

      Delhi Technological University,  Delhi -110042

2. May ,2011- Nov,2016

     Scientist B,

     National Informatics Centre(NIC), Ministry of Electronics and Information Technology,

    Government of India, Delhi-110003.

3. Jul 2009- May 2011

     Assistant Professor,

     Department of Computer Science and Engineering,

     KIIT University,

     Bhubaneswar, Odisha-751024

   

 

Last Updated : 2025-03-28 11:16:50