Scopus id                            : 57198230873

Google scholar                   : https://scholar.google.com/citations?user=C0Mm2owAAAAJ&hl=en

Research Gate id                : https://www.researchgate.net/profile/Shruti-Garg-5

Orchid id                             : https://orcid.org/0000-0001-7741-8104

Web of Science                   : https://www.webofscience.com/wos/author/record/KHD-7503-2024

Additional Responsibility

Member of Scrap disposal committee

Coordinator of Mentor Mentee

PHD Guided

MTech Student Guided

MCA Projects

Health Informatics

Artificial Intelligence

Data Science

Natural Language Processing

Invited Talk 

Journal Publications(1900+) citations

2024-25

1. Abgeena, A., Garg, S., 2025. Unravelling emotions: exploring deep learning approaches for EEG-based emotion recognition with current challenges and future recommendations. Cognitive Neurodynamics 19, 168. IF 3.9 Springer E-ISSN 1871-4099 [Q1, SCIE] https://doi.org/10.1007/s11571-025-10328-9
2. Abgeena, A., Garg, S., Goyal, N. and PC, J.R., 2025. NeuroEmo: A neuroimaging-based fMRI dataset to extract temporal affective brain dynamics for Indian movie video clips stimuli using dynamic functional connectivity approach with graph convolution neural network (DFC-GCNN). Computers in Biology and Medicine, 194, p.110439. IF 7.0 Elsevier E-ISSN 0010-4825. [Q1, Scopus] https://doi.org/10.1016/j.compbiomed.2025.110439
3. Pawan Kumar Patidar, Savita Shiwani, Shruti Garg, Prediction of Diabetes using Machine Learning Classifiers with Polar Bear Optimization. Procedia Computer Science. 2025 Jan 1;258:1338-47.[Scopus] https://doi.org/10.1016/j.procs.2025.04.367
4. Dakshinamoorthy, Prabakar, Gnanajeyaraman Rajaram, Shruti Garg, Prabhu Murugan, A. Manimaran, and Ramesh Sundar "Artificial intelligence algorithms for object detection and recognition in video and images." Multimedia Tools and Applications 29 Jan 2025: 1-18.: pp. 1-8. Springer [Scopus, Q1], E-ISSN 1573-7721. IF 3.0 https://doi.org/10.1007/s11042-025-20635-2.
5. Murugan, Prabhu, A. Manimaran, Ramesh Sundar, Prabakar Dakshinamoorthy, Gnanajeyaraman Rajaram, and Shruti Garg "A recurrent neural network architecture for android mobile data analysis for detecting malware infected data." Soft Computing, Vol. 28, 29 Nov 2024: pp.12917–12928, Springer [Scopus, Q1], E-ISSN 1433-7479. https://doi.org/10.1007/s00500-024-10346-5.
6. Neha Prerna Tigga, Shruti Garg, Nishant Goyal, Justin Raj, Basudeb Raj, “Brain-region specific autism prediction from electroencephalogram signals using graph convolution neural network” Technology and Health Care, 01 Jan 2025 Vol. 33(1), pp. 77 – 101.  IOS press IF 1.6 [SCIE, Q4] [Web of Science] E-ISSN 1878-7401, DOI: 10.3233/THC-240550.

2023-24

7. Shruti Garg, Prabhu Murugan, A. Manimaran, Ramesh Sundar, Prabakar Dakshinamoorthy, Gnanajeyaraman Rajaram, “Performance analysis of various classification algorithms for providing competency training to workplace risk prevention” Multimedia Tools and Applications, 19 June 2024, Springer [Scopus, Q1], E-ISSN 1573-7721. IF 3.0. https://doi.org/10.1007/s11042-024-19498-w.
8. Shruti Garg, Pushkar Anand, Parnab kumar Chanda, Srinivasa Rao Payyavula, “An Efficient Summarisation and Search Tool for Research Articles” Procedia Computer Science journal, Vol 235 (31 May 2024), pp. 2215-2226, Elsevier. [Scopus] E-ISSN: 1877-0509 CiteScore 4 DOI: https://doi.org/10.1016/j.procs.2024.04.210
9. Shruti Garg, Sudhir Sharma, Sumit Dhariwal, W. D. Priya, Mangal Singh, S Ramesh, “Human Crowd Behaviour Analysis Based on Video Segmentation and Classification using Expectation-Maximization with Deep Learning Architectures", Multimedia Tools and Applications, 16 March 2024, Springer [SCIE, Q1], 1573-7721. IF 3.6. https://doi.org/10.1007/s11042-024-18630-0.
10. Junaid KM, Sukhi Y, Anjum N, Jeyashree Y, Ahamed AF, Debbarma S, Chaudhary G, Priyadarshini S, Shylashree N, Shruti Garg, Kumar M, “PV-based DC-DC buck-boost converter for LED driver”, e-Prime-Advances in Electrical Engineering, Electronics and Energy, 1 Sep 2023 ; 5 : 100271, ISSN: 2772-6711 DOI: https://doi.org/10.1016/j.prime.2023.100271[Scopus]
11. Abgeena, Shruti Garg, “S-LSTM-ATT: A hybrid deep learning approach with optimized features for emotion recognition in electroencephalogram”, Health Information Science and Systems, Vol 11, no 1(Aug 2023), pp. 40 ISSN 2047-2501, IF 6.0 [SCIE, Q1] https://doi.org/10.1007/s13755-023-00242-x

2022-23

12. Neha Prerna Tigga, Shruti Garg, “Speech Emotion Recognition for multiclass classification using Hybrid CNN-LSTM”, International Journal of Microsystems and IoT, Vol 1, no. 1 (June 2023), pp. 9–17. ISSN: 2584-0495 https://doi.org/10.5281/zenodo.8158288
13. Abgeena, Shruti Garg, “A novel convolution bi-directional gated recurrent unit neural network for emotions recognition in the multichannel Electroencephalogram signals”, Technology and Health Care, Vol 31, no 4(Jun 2023), pp. 1215-1234, IOS press E-ISSN 1878-7401 IF 1.6 [SCIE, Q4] [Web of Science] 10.3233/THC-220458 PMID: 36617799.
14. Neha Prerna Tigga, Shruti Garg, "Efficacy of novel attention-based gated recurrent units transformer for depression detection using electroencephalogram signals", Health Information Science and Systems, Vol 11 no 1(Jan 2023):  ISSN 2047-2501, IF 6.0 [SCIE, Q1] https://doi.org/10.1007/s13755-022-00205-8 PMID: 36590874.
15. L. Selvam, Shruti Garg, R. Murali Prasad, Shamimul Qamar, K. Mohana Lakshmi, Vallabhuni Rajeev Ratna, “Collaborative autonomous system based wireless security in signal processing using deep learning techniques”, Optik, 272, Feb 2023, 170313, ISSN 0030-4026, IF 3.1 [SCIE, Q2] https://doi.org/10.1016/j.ijleo.2022.170313
16. Shruti Garg, Vivek Kumar, Srinivasa Rao Payyavula. "Identification of Internet of Things (Iot) Attacks Using Gradient Boosting: A Cross Dataset Approach." Telematique, Vol 21, no 1, (Nov 2022): 6982-7012.[ESCI][Web of Science]
17. Ahmed, Quazi Warisha, Shruti Garg, "Double Diagonal Puzzle Encryption Standard-512 for Securing Data over Cloud Environment." Journal of Grid Computing, 20, no. 3 (Sep 2022): 1-17. Springer. E-ISSN 1572-9184 IF 3.6 [SCIE, Q1] https://doi.org/10.1007/s10723-022-09612-3.
18. Singhal, Anjali, Neeta Kumari, Pooja Ghosh, Yashwant Singh, Shruti Garg, Maulin P. Shah, Pawan Kumar Jha, D. K. Chauhan. "Optimizing cellulase production from Aspergillus flavus using response surface methodology and machine learning models." Environmental Technology & Innovation (Aug 2022), Vol 27, Elsevier E-ISSN 2352 1864 pp. 102805 IF 6.7 [SCIE, Q1] https://doi.org/10.1016/j.eti.2022.102805
19. Ahmed, Quazi Warisha, Shruti Garg, Amrita Rai, Manikandan Ramachandran, Noor Zaman Jhanjhi, Mehedi Masud, Mohammed Baz. "AI-Based Resource Allocation Techniques in Wireless Sensor Internet of Things Networks in Energy Efficiency with Data Optimization." Electronics 11, no. 13 (2022), MDPI, E-ISSN 2079 9292 P. 2071 IF 2.690 [SCIE, Q2] doi: 10.3390/electronics11132071
20. Neha Prerna Tigga, Shruti Garg, “Prediction of Global Psychological Stress and Coping Induced by the COVID-19 Outbreak: A Machine Learning Study”, Alpha Psychiatry journal, 01 July 2022, AVES E-ISSN 2757-8038 IF 0.7. [SCIE] doi: 10.5152/alphapsychiatry.2022.21797[IOE 2022]

   2021-22

21. Shruti Garg, Soumyajit Behera, Rahul Kumar Patro, Ashwani Garg, “Deep Neural Network for Electroencephalogram based Emotion Recognition”, IOP: Materials Science & Engineering (MSE), Sep 2021, IF: 0.7 E-ISSN: 1757-899X Volume 1187, paper id 012012. IOP Publishing doi:10.1088/1757-899X/1187/1/012012.
22. Shruti Garg, Rahul Kumar Patro, Soumyajit Behera, Neha Prerna Tigga, Ranjita Pandey, “An Overlapping Sliding Window and Combined Features based Emotion Recognition System for EEG Signals” Applied Computing and Informatics journal, Vol. 21 No. 1/2, 2025 pp. 114-130 Emerald publishing. E-ISSN:2634-1964 CiteScore 16.2 (Scopus, Q1) doi/10.1108/ACI-05-2021-0130 Aug 2021[IOE 2021]

    2020-2021

23. Shruti Garg, Ashwani Garg, ”Comparison of Machine learning Algorithms for Content Based Personality Resolution of Tweets” In: Social Science and Humanities Open, 4(1), June 2021, Elsevier,(Scopus) E-ISSN: 2590-2911. https://doi.org/10.1016/j.ssaho.2021.100178
24. Quazi Warisha Ahmed, Shruti Garg, "Energetic Data Security Management Scheme using Hybrid Encryption Algorithm over Cloud Environment." In: Turkish Journal of Computer and Mathematics Education (TURCOMAT) Vol.12, no. 6, pp. 201-208, April 2021. E-ISSN 1390-4653 https://doi.org/10.17762/turcomat.v12i6.1289

    2019-2020

25. Puja Gupta, Shruti Garg, “Breast Cancer Prediction using varying Parameters of Machine Learning Models”, Procedia Computer Science journal, Vol. 171C, May 2020, pp. 587-595, Elsevier. (Scopus) E-ISSN: 1877-0509 CiteScore 4 https://doi.org/10.1016/j.procs.2020.04.064.
26. Prince Kumar, Shruti Garg, Ashwani Garg, “Assessment of Anxiety, Depression and Stress using Machine Learning Models,” Procedia Computer Science journal, Vol. 171C, May 2020, pp. 2073-2083, Elsevier. (Scopus) E-ISSN: 1877-0509 CiteScore 2.09 https://doi.org/10.1016/j.procs.2020.04.213.
27. Anupriya, Shruti Garg, Neha Prerna Tigga, “Predicting Anxiety, Depression and Stress in Modern Life using Machine Learning Algorithms,” Procedia Computer Science journal, Vol. 167, Apr 2020, pp. 1258-1267, Elsevier. (Scopus) E-ISSN: 1877-0509 CiteScore 4 https://doi.org/10.1016/j.procs.2020.03.442.
28. Neha Prerna Tigga, Shruti Garg, “Prediction of Type 2 Diabetes using Machine Learning Classification Methods,” Procedia Computer Science journal, Vol. 167, Apr 2020, pp. 706-716, Elsevier. (Scopus), E-ISSN: 1877-0509 CiteScore 4 https://doi.org/10.1016/j.procs.2020.03.336. Dataset Available at: Diabetes Dataset 2019 | Kaggle
29. Neeta Kumari, Shruti Garg, Anjali Singhal, Madan Kumar, Mallika Bhattacharya, Pawan Kumar Jha, Devendra Kumar Chauhan, Indu Shekhar Thakur, “Optimizing pretreatment of Leucaena leucocephala using artificial neural networks (ANNs),” Bioresource Technology Reports journal, 7, Sep. 2019, Elsevier. (Scopus, Q1) E-ISSN 2589- 014X CiteScore 7.8 https://doi.org/10.1016/j.biteb.2019.100289 ISSN: 2589-014X.

Before 2019

25. Shruti Garg, “A Study of Retrieval Methods of Multi-Dimensional Images in Different Domains,” International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 9, No.10, Oct 2018, pp. 329-341, E- ISSN 2156-5570. (ESCI, Scopus, Web of Science, Q3).
26. Shruti Garg, “Classification of Cracks Old Digital Paintings using Fuzzy Entropy Based Clustering,” International Journal of Engineering Research in Computer Science and Engineering (IJERCSE), vol. 3, issue 6, June 2016, pp. 133-139 E-ISSN: 2390-2324.
27. Ankur Singh, Shruti Garg, “PicWords: Creating Pictures by its keywords,” International Research Journal of Engineering and Technology (IRJET), Vol. 02 Issue 02, May-2015, pp. 753-762, E-ISSN 2395 -0056.
28. Shruti Garg, G. Sahoo, “Cracks and Brush Strokes Classification in Old Digital Paintings using Clustering Methods,” European Journal of Scientific Research, FRDN Incorporated, Vol. 128, No. 1, Jan. 2015, pp. 18-34, FRDN, E-ISSN 1450-216X.(Scopus).
29. Shruti Garg, G. Sahoo, “Analysis of Crack Filling Filters for Restoration of Old Digital Paintings,”  International Journal of Applied Engineering Research, Vol. 9, No. 24, 2014, pp. 26225-26242, Research India Publication, E-ISSN: 0973-4562.(Scopus).
30. Shruti Garg, G. Sahoo, “Classification of Cracks and Brush Strokes in Old Digital Paintings,” International Journal of Recent Trends in Engineering and Technology, Vol. 11, June 2014, pp. 493-502, ACEEE, E-ISSN: 2158-5563.
31. Shruti Garg, G. Sahoo, “Virtual Restoration of Old Digital Paintings,” International Journal of Computer Science and Engineering (IJCSE), Vol. 2, Issue 3, July 2013, pp. 35-46, IASET, E-ISSN 2278-9960.
32. Shruti Garg, G. Sahoo, “Crack Classification and Interpolation of Old Digital Paintings,” International Journal of Computer Sciences and Applications, Vol. 1, Issue 5, June 2013, pp. 85-90, Sciepub, E-ISSN 2328-725X.
33. Suchismita Das, Shruti Garg, G. Sahoo, “Comparison of Content Based Image Retrieval System using Wavelet Transform and Curvelet Transform,” International Journal of Multimedia and Its Applications (IJMA), Vol. 4, No. 4, Aug 2012, pp. 138-154, AIRCC, E-ISSN 0975-5578.
34. Suchismita Das, Shruti Garg, G. Sahoo, “Relevance Feedback Technique in Context Based Image Retrieval System,” International Journal of Graphics and Image Processing, Vol. 1, Issue 2, pp. 215-220, Nov 2011, IFRSA, E-ISSN 2249-5452.
35. Rati Jha, Shruti Garg, G. Sahoo, “Crack Filling in Old Digital Paintings,” International Journal of Graphics and Image Processing, Vol. 1, Issue 2, pp. 210-214, Nov 2011, IFRSA, E-ISSN 2249-5452.

Book Chapters

1. Neha Prerna Tigga, Shruti Garg, and Fady Alnajjar. "Autism Spectrum Disorder Classification with EEG Signals Using Dense Graph." In Converging Clinical and Engineering Research on Neurorehabilitation V: Proceedings of the 6th International Conference on Neurorehabilitation (ICNR 2024), November 5–8, 2024, La Granja, Spain-Volume 2, pp. 350. Springer Nature. https://doi.org/10.1007/978-3-031-77584-0_68 ISBN 978-3-031-77584-0
2. Shruti Garg, Forecasting of Gold Prices Using Bayesian Regularization Neural Network. In: Nath V., Mandal J.K. (eds) Proceedings of International Conference on Nanoelectronics, Circuits and Communication Systems 2019, Lecture Notes in Electrical Engineering, Vol. 692, 2021, pp. 147-153 Springer, Singapore. DOI:10.1007/978-981-15-7486-3_15 ISBN 978-981-15-7486-3
3. Neha Prerna Tigga, Shruti Garg, “Predicting Type 2 Diabetes Using Logistic Regression,” In: Nath V., Mandal J.K. (eds) Proceedings of the Fourth International Conference on Microelectronics, Computing and Communication Systems. Lecture Notes in Electrical Engineering, Vol 673, 2021, pp. 491-500, Springer, Singapore. DOI:10.1007/978-981-15-5546-6_42 ISBN: 978-981-15-5546-6
4. Anupriya, Shruti Garg “A Comparison of Prediction Capabilities of Bayesian Regularization and Levenberg–Marquardt Training Algorithms for Cryptocurrencies,” In: Satapathy S., Bhateja V., Mohanty J., Udgata S. (eds) Smart Intelligent Computing and Applications. Smart Innovation, Systems and Technologies, Vol. 159, 2020, pp. 657-664, Springer, Singapore. DOI:10.1007/978-981-13-9282-5_62 ISBN: 978-981-13-9282-5
5. Shruti Garg, "Automatic text summarization of video lectures using subtitles." In: Recent Developments in Intelligent Computing, Communication and Devices, Vol. 555, 2017, pp. 45-52. Springer, Singapore. DOI: 10.1007/978-981-10-3779-5_7 ISBN: 978-981-10-3779-5
6. Shruti Garg, G. Sahoo, “A Comparative Study of Classification Methods for Cracks in Old Digital Paintings,” In: Advances in Engineering and Technology Series (AETS), Vol. 3, 2013, pp. 463-468, DOI: 03.AETS.2013.3.253 ACEEE, ISBN: 2214-0344.
7. Suchismita Das, Shruti Garg , G. Sahoo, “Comparison of Content Based Image Retrieval System using Wavelet Transform,” In: Advances in Computer Science, Engineering & Applications, Vol. 166, 2012, pp. 639-648, Springer-Verlag. DOI: 10.1007/978-3-642-30157-5_64 ISBN: 978-3-642-30157-5

Conference Publications

1. Pawan Kumar Patidar, Savita Shiwani, Shruti Garg, "Gated Recurrent Unit for Diabetes Prediction in Voice Data" has been accepted for presentation at the 6th International Conference on Recent Advances in Information Technology (RAIT) 2025, scheduled to be held on March 6-8, 2025 at Department of Computer Science and Engineering IIT ISM Dhanbad.

2. Pawan Kumar Patidar, Devesh Kumar Bandil, Shruti Garg, “Unravelling Diabetes Mellitus Incidence Post-COVID-19: A Comprehensive Review of Risk Factors and Implications”, published in AIP conference proceedings, 3253, 030002 (30 Jan 2025) E-ISSN 1551-7616 at International Conference on Innovations in Computing and Applications (ICICA-24) held on 22-23 May 2024 at Birla Institute of Technology, Jaipur Campus https://doi.org/10.1063/5.0248323.

3. Vikas Kumar Singh, Shruti Garg, Voice Data Analysis of young children for age prediction, published in proceeding of 9^th Annual Women’s Meet-AWM2024, pp. 29 organized by Venus Internation Foundation held on 02 March 2024 at Green Park Hotel, Chennai, Tamil Nadu, India  ISBN: 978–81–969897–4–3

4. Subrato Kumar, Shruti Garg, ELSCNN: A Deep Learning Architecture for Image Counterfeit Detection, presented in 6th International Conference on Multi-Disciplinary Research Studies and Education (ICMDRSE-2023) organized by Institute for Engineering Research and Publication (IFERP) Malaysia Society held on 19-20 May 2023.

5. Kaushik Gupta, Shruti Garg, Parnab Kumar Chanda, Srinivasa Rao Payyavula, Sudip Kumar Sahana, An Unsupervised Category Extraction Model from Research Articles Abstract presented in International Conference on Intelligent Systems and New Applications (ICISNA) held on 28-30 April 2023.

6. Pushkar Anand, Shruti Garg, Parnab Kumar Chanda, Srinivasa Rao Payyavula, Sandip Dutta, An Efficient Text Summarization Tool using Page Rank Algorithm presented in International Conference on Intelligent Systems and New Applications (ICISNA) held on 28-30 April 2023.

7. Abgeena, Shruti Garg, EEG evoked automated emotion recognition using deep convolution neural network, presented in 2023 Fifth IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT 2023) held at Velalar College of Engineering & Technology, Erode, Tamil Nadu, India during 22-24 Feb 2023 (available at IEEE explorer) DOI 10.1109/ICECCT56650.2023.10179711.

8. Shruti Garg, Rashmi, Ranjita Pandey, Ashwani Garg, Assessment of the Impact of Personality Characteristic on Emotion Resilience, published in 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS), Organized by Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India on 25-26 March 2022 (available at IEEE explorer) DOI: 10.1109/ICACCS54159.2022.9785132 [IOE 2022]
9. Vivek Kumar, Ankit Kumar, Shruti Garg, Srinivasa Rao Payyavula, Boosting Algorithm for identifying Distributed Denial of Service Attack, published in IOP: Journal of Physics Conference Series (SCOPUS Indexed). Date of Conference 21-22 Dec 2021 organized by Universiti Malaysia Perlis.
10. Neha Prerna Tigga, Shruti Garg, Ranjita Pandey, A Multiclass Emotion Recognition using Hybrid CNN-LSTM Neural Network, presented in 1st International Conference on Nanoelectronics Machine Learning Internet of Things & Computing Systems (NMIC-2021) organized by IETE & ISVE Ranchi Centre on 13-14th March 2021 at ARTTC, BSNL near Jumar River, Hazaribag Road, Ranchi[IOE 2021]
11. Quazi Warisha Ahmed, Shruti Garg, “Understanding Information Security through Advanced Encryption Standard” presented in First Online International Conference on “Continuity, Consistency and Innovation in Applied Sciences and Humanities” (ICCIASH-2020) organized by Department of Science and Humanities, St. Martin’s Engineering College, Dhulapally, Secunderabad, T.S, India on 13^th-14th August 2020.
12. Puja Gupta, Shruti Garg, Ashwani Garg, “Convolution Neural Network for Lung Cancer” presented in International Conference on Recent Trends in Artificial Intelligence, IOT, Smart Cities and Applications (ICAISC 2020), 28-29 Feb. 2020 held at Chaibasa Engineering College, Jharkhand -833201, India sponsored by TEQIP-III. http://dx.doi.org/10.2139/ssrn.3562893 (Available in SSRN digital library)
13. Shruti Garg, Gaurav Kumar, Ashwani Garg, “Convolution Neural Network for Speech Emotion Recognition,” presented in 2^nd  International Conference of Energy Systems, Drives and Automations (ESDA2019), 28-29 Dec. 2019 held at Kolkata, West Bengal, India organized by Applied Computer Technology, Kolkata.
14. Puja Gupta, Shruti Garg, “Convolution Neural Network for Skin Cancer”, presented in 2ND International Conference of Energy Systems, Drives and Automations (ESDA2019), 28-29 Dec. 2019 held at Kolkata, West Bengal, India organized by Applied Computer Technology, Kolkata.
15. Quazi Warisha Ahmed, Shruti Garg, “A cloud computing based advanced encryption standards,” In: proceedings of 3rd International Conference on IOT in Social, Mobile, Analytics and cloud(ISMAC 2019), 12-14 Dec. 2019 held at SCAD Institute of Technology, Palladam, Coimbatore, pp. 89-95 DOI: 10.1109/I-SMAC47947.2019.9032581 (Available on IEEE Explorer)
16. Anupriya, Shruti Garg, "Autoregressive Integrated Moving Average Model based Prediction of Bitcoin Close Price," In: proceedings of 2018 International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India, 2018, pp. 473-478. DOI: 10.1109/ICSSIT.2018.8748423 (Available on IEEE Explorer) 13-14 Dec 2018.
17. Shruti Garg, “Analysis of Cryptocurrencies: Why Bitcoin Is Leader?” In: proceedings of 2nd International Conference on Recent Research and Innovations in Social Science, Humanities (ICRRISH-2018), 16 Sep. 2018 help at North West Regional Centre Punjab University Campus, Chandigarh(India), ISBN: 978-93-87433.
18. Shruti Garg, “A survey on NPR packing techniques”, In: proceedings of International Conference on Emerging Trends in Engineering and Technology, 23-24 July 2016 held at Pune.
19. Shruti Garg, “Comparison of crack filling filters of old digital paintings”, In: proceedings of 3rd International Conference on Microelectronics, Circuits and Systems(Micro 2016), pp. 199-201, 09-10 July 2016 held at Science City, Kolkata, West Bengal.
20. Shruti Garg, “Classification of Cracks in Old Digital Painting using Fuzzy Entropy Based Clustering”, In: proceedings of International Conference on Emerging Trends in Engineering and Technology, pp. 50-56, 26 June 2016 held at Lucknow.
21. Shruti Garg, “Context Based Image Retreival”, presented in National Seminar on Advances in Computer Science and Technology held at SRMSCET, Bareilly on 15 April, 2007.
22. Shruti Garg, K. Ushah Kiran, Ram Mohan, U S Tiwary, “Multilevel Medical Image Fusion using Segmented Image by Level Set Evolution with Region Competition”, In: proceedings of 27th Annual International Conference of the IEEE Engineering and Medicine and Biology Society (EMBS), held at Shanghai, China on September 1- 4, 2005, pp. 7680-7683. DOI: 10.1109/IEMBS.2005.1616291 (Available on IEEE Explorer)
23. A.K. Agrawal, P.K. Muhuri, Shruti Garg, “Query Optimization in Fuzzy Databases” In: proceeding of  National Level Conference of Fuzzy Set Theory and Its Mathematical Aspects and Application held at BHU 26 - 28 Dec 2002.

Professional member of IEEE  (membership id 97875106)

Projects

National/International Collaboration

1. Dr Ashwani Garg, Faculty of Health, Biomedical Science and Medical Science, Griffith University, Queensland, 4122, Australia [International Collaborator]
2. Dr Fady Alnajir, Associate Professor, College of Information Technology, United Arab Emirates University Al Ain, UAE [International Collaborator]
3. Dr Ranjita Pandey, Professor and Head, Department of Statistics, University of Delhi, Delhi [Inter University Collaborator]
4. Dr Nishant Goyal, Professor, Central Institute of Psychiatry, Kanke, Ranchi [Research Data Collaborator]
5. Srinivasa P Rao, Director, Samsung R&D Bangalore [Industry Collaborator]
6. Dr Neeta Kumari, Assistant Professor, Department of Civil and Environment Engineering, BIT, Mesra, Ranchi [Other Department Collaborator]
7. Dr Richa Singh, Assistant Professor, Department of Computer Science and Engineering, BIT, Mesra, Ranchi [Department Collaborator]

1.    Rajesh.E, Abdul Hannan Abdul Mannan Shaikh, Dr. Ramesh Manza, Ms. Sheetal Suresh Rajapurkar, Dr. Shruti Garg, Mr. Pravin Laxman Thorat, Prof. Sudheer Kumar, Dr. Abhijeet K. Digalwar, “Developing Artificial Intelligence Based Feedback System In Higher Education Institutions” Date of filing of Application:19/07/2022, Publication Date: 29/07/2022, Application No.202241041368

2.    Dr Shruti Garg, Pushkar Anand, Kaushik Gupta, Parnab Kumar Chanda, Srinivasa Rao Payyavula, “Method of Scholar Data Search Engine”, Date of filing of Application:25/07/2023, Publication Date: 13/10/2023, Application No. 202331050192

3.    Dr Shruti Garg, Dr Richa Singh, “Smart Device For Diabetics Monitoring & Control Using Iot And Artificial Intelligence Techniques”, Date of filing of Application 01/09/2023 Publication Date: 12/07/2024, Application No.: 202331058680

4.    Dr Shruti Garg, Dr Richa Singh, “Precision Drone Agriculture For Himalayan Diversity Farming Using Artificial Intelligence & Machine Learning”, Date of filing of Application 28/09/2023 Publication Date: 12/07/2024, Application No. 202331065075

5.    Neha Prerna Tigga, Dr Shruti Garg, Nishant Goyal, Justin Raj, Basudeb Raj “Brain-region specific autism prediction system from electroencephalogram signals using graph convolution neural network” Date of filing of Application 31/07/2024 Publication Date: 09/08/2024, Application No. 202431057950

Handling editor of Frontiers Psychology(SCIE)

Handling editor of Sage Open, Sage(SSCI)

Reviewer of Social Science and Humanities Open Journal, Elsevier(Scopus)

Reviewer of Computers in Biology and Medicine Journal, Elsevier(SCIE)

Reviewer of Biomedical Signal Processing and Control Journal, Elsevier(SCIE)

Reviewer of Arabian Journal for Science and Engineering, Springer(SCI)

Reviewer of Journal of Psychiatric Research, Elsevier(SCI)

Reviewer of Applied Computing and Informatics journal (Scopus)

Reviewer of Sage Open (SSCI)

Reviewer of Applied Artificial Intelligence, Taylor and Francies (SCIE)  

Reviewer of Alpha Psychiatry journal (SCIE)

Reviewer of Human Computer Interface journal, Taylor and Francies (SCIE)

Reviewer of Connection Science journal, Taylor and Francies (SCIE)

Reviewer of The Imaging Science journal, Taylor and Francies (SCI)

Reviewer of Achievers of Women’s Mental Health, Springer(SCIE)

Reviewer of Multimedia Tools and Application, Springer(SCIE)

Reviewer of Expert System With Application, Elsevier(SCI)

Reviewer of Biomedical Engineering Letters, Springer(SCIE)

Reviewer of IEEE Transactions on Affective Computing, IEEE (SCI)

External Reviewer of 2nd International conference on Machine Learning and Data Engineering (ICMLDE 2023) to be held on Nov 23-24,2023 at UPES, Dehradun India.

Session Chair at 8^th International Conference on Microelectronics, Computing & Communication Systems (MCCS-2023) Conference date: 29-30 July. 2023.

Session Chair at 7^th International Conference on Nanoelectronics, Circuit and Communication Systems (NCCS-2021) Conference date: 29-30 Jan. 2022 Venue: ARTTC, BSNL, Near Jumar River, Hazaribagh Road, Ranchi-835217, Jharkhand, India

Session Chair at 2^nd International Conference on Microelectronics, Communication System and Machine Learning, Internet of Things (MCMI-2021) Conference date: 23-24 Oct.2021 Venue: ARTTC, BSNL, Near Jumar River, Hazaribagh Road, Ranchi-835217, Jharkhand, India

Session Chair at 6^th International Conference on Microelectronics, Computing & Communication Systems (MCCS-2021) Conference date: 17-18 July 2021 Venue: ARTTC, BSNL, Near Jumar River, Hazaribagh Road, Ranchi-835217, Jharkhand, India

Session Chair at International Conference on Nanoelectronics, Machine Learning, Internet of Things & Computing Systems (NMIC-2022) Conference date: 19-20 March.2022 Venue: ARTTC, BSNL, Near Jumar River, Hazaribagh Road, Ranchi-835217, Jharkhand, India

Session Chair at International Conference on Contemporary research on Mathematics and Computer Science (ICCRMCS-2022) Conference date: 29-30 April.2022 Venue: SRMS, Bareilly, India