Patent:

PORTABLE COMPUTING DEVICE BASED SECURE MEDICAL RECORDS MANAGEMENT, (425612 ) , Granted March 2023

Journal:

1. Chirag Ahuja, Divyashikha Sethia, "TRANSIT-EEG — A Framework for Cross-Subject Classification with Subject Specific Adaptation" IEEE Transactions on Cognitive and Developmental Systems, Jan 2025

2. Shikha, Divyashikha Sethia, and Prof. S. Indu. ”ST-CIRL: A Reinforcement Learning-Based Feature Selection Approach for Enhanced Anxiety Classification” Physiological Measurement (2025). SCIE, Impact factor-2.3, Publisher: IOPScience.

3. Shagun Jain, Divyashikha Sethia, Kailash Tiwari,"Developing Novel Spectral Indices for Precise Estimation of Soil pH and Organic Carbon with Hyperspectral Data and Machine Learning", Springer  Environmental Monitoring and Assessment, Nov 2024, (SCIE), (Impact Factor 2.9)

4. Shikha Shikha, Divyashikha Sethia & S. Indu, "KRAFS-ANet: A novel framework for EEG-based stress classification using channel selection and optimized ensemble stacking",  Springer, International Journal of Machine Learning and Cybernetics, Nov 2024, (SCIE), Impact Factor 3.1

5. Shikha, Divyashikha Sethia, S. Indu, "Optimization of Wearable Biosensor Data for Stress Classification Using Machine Learning and Explainable AI ", IEEE Access, Sep 2024 (SCIE) (Impact Factor 3.4)

6. Chirag, Divyashikha Sethia, "Harnessing Few-Shot Learning for EEG Signal Classification: A Survey of State-of-the-Art Techniques and Future Directions", Frontiers in Human Neuroscience Section Brain-Computer Interface, 2024 (SCIE) Impact factor 2.4)

7. Shagun, Divyashikha Sethia, "A Critical Systematic Review on Spectral-Based Soil Nutrient Prediction using Machine Learning", Springer Environmental Monitoring and Assessment Journal, June 2024. (SCIE) Impact Factor 2.9

8. Neha Gehlan, Divyashikha Sethia, "Federated Learning in Emotion Recognition Systems based on Physiological Signals for Privacy Preservation: A Review", Springer Multimedia Tools and Applications, May 2024 (SCIE) (Impact factor 3.0)

9. Neha Gehlan, Divyashikha Sethia, "AFLEMP: Attention-based Federated Learning for Emotion recognition using Multi-modal Physiological data", Elsevier Biomedical Signal Processing and Control, Aug 2024 (SCIE) (Impact 4.9)

10. Neha Gehlan, Divyashikha Sethia, "Federated Learning inspired Privacy Sensitive Emotion Recognition based on Multi-Modal Physiological Sensors", Springer, Journal  Cluster Computing , 2023. (SCI),  Impact Factor 4.4.

11. Varun Chandra, Divyashikha Sethia, "Machine Learning-Based Stress Classification System using Wearable Sensor Devices", IJAI, 2023, (Scopus) 

12. Divyashikha Sethia, Raj Sahu, "Efficient ECC-based CP-ABE Scheme with Constant-sized Key and Scalable User Revocation ", International Journal of Information Security and Privacy (IJISP) Volume 16, Issue 1, 2022 (Socpus) (Impact factor 0.8)

13. Gadde Satya Sai Naga Himabindu , Rajat Rao and Divyashikha Sethia, "A Self-Attention Hybrid Emoji Prediction Model for Code Mixed Language - Hinglish", Springer Journal of Social Network Analysis and Mining, 2022 (SCIE) (Impact factor 2.3)

14. Debarshi Nath, Anubhav, Diksha Kalra, Mrigank Singh, Divyashikha Sethia, S.Indu, “EEG-based Mental Workload Detection in a Mental Arithmetic Task using Machine Learning”, International Journal of Advanced Science and Technology, 2020 (Scopus)

15. Utsav Dahiya, Uday Vig, Vaibhav Paul, Divyashikha Sethia. (FTM Plus: A High Availability Framework for Cloud Environments. International Journal of Advanced Science and Technology, 2020, 29(05), 11118-11132. (Socpus)

16. D. Sethia, D. Gupta, H. Saran, "Smart Health Record Management with Secure NFC-enabled Mobile Devices", Elsevier Journal of Smart Health,Nov 2018, doi: 10.1016/j.smhl.2018.11.001, Peer reviewed since 2017

17. Divyashikha Sethia, Daya Gupta and Huzur Saran,"  NFC Secure Element-based Mutual Authentication and Attestation for IoT access", IEEE Transaction on Consumer Electronics", ( vol 64 no 4), 2018 (SCI indexed) (Cryptography) Impact Factor 4.3

18. Divyashikha Sethia, Huzur Saran, and Daya Gupta, “CP-ABE for Selective Access with Scalable Revocation: A Case Study for Mobile-based Healthfolder”, International Journal of Network Security,  (Vol. 20, No. 4), 2018 (Scopus indexed) (Cryptography) (Impact factor 4.3)

19. Divyashikha Sethia, Daya Gupta, Huzur Saran, Rishabh Aggarwal, Amogh Gaur,"Mutual Authentication Protocol For Secure NFC Based Mobile Healthcard", IADIS International Journal on Computer Science & Information Systems. 2016, Vol. 11 Issue 2, p195-202. 8p.  (Emerging Sources Citation Index) (Cryptography) (Impact factor 0.3)

20. Nikhil Jindal Akhil Jindal, Divyashikha Sethia, "Automated Tool to Generate Parallel CUDA Code from a Serial C Code”,  IJCA July 2012,973-93-80869-57-1 (http://www.ijcaonline.org/archives/volume50/number8/7790-0891) 

Conferences: 

1. Mohd Ibrahim Mallick, Mandeep, Divyashikha Sethia, A Machine Learning-Based Approach to Enhance Cybersecurity in Autonomous Vehicles” has been accepted for presentation during ICSCPS-2024

2. Ayush, Shikha, Divyashikha Sethia, "The Effectiveness of Advance Deep Learning Architectures for Classification of Stress using Raw EEG Data", IEEE APCIT July 2024.

3. Amriti Gupta, Kunal Nayyar, Harshit Chopra, Neha Gahlan, Divyashikha Sethia, "Multifaceted Discrete Emotion Recognition from EEG Physiological Signals via Machine Learning Techniques", IEEE 5th International Conference for Emerging Technology (INCET), May 2024

4. Shikha, Divyashikha Sethia, "Investigating the Effect of Sliding Window Length for EEG-based Anxiety Classification", IEEE APCIT July 2024.

5. Jaikishan Mohanty, Divyashikha Sethia, "??????? ??? ??????? ????????? ????? ???????? ?? ??????? ???????? ??????????" at the 15?? ????????????? ?????????? ?? ?????????, ????????????? ??? ?????????? ???????????? (?????? 2024), June 2024

6. Harsh Sharma, Kush Pandey, Divyashikha Sethia, “Preserving Privacy in Iris Recognition: A Federated Learning Approach”, IEEE AIP June 2024

7. Shagun Jain, Divyashikha Sethia, "Comparative Analysis of Machine Learning Based Soil pH prediction using Spectral Bands and Indices", Springer  Second International Conference on Agriculture-Centric Computation, May 2024 

8. Jaikishan Mohanty, Divyashikha Sethia, "Android App Permission Detector Based on Machine Learning Models", IEEE IETCIT 2024, March 2024

9. Sourav Seal, Dr. Divyashikha Sethia, "Machine Learning Based Approach for Soil Chemical Property Estimation using Multispectral Data in Hungary", IEEE 4th INTERNATIONAL CONFERENCE ON EMERGING TRENDS AND TECHNOLOGIES ON INTELLIGENT SYSTEMS (ETTIS 2024), March 2024

10. Konjengbam Roshan Singh, Divyashikha Sethia, Group Authentication and Key Management Protocol with Chinese Remainder Theorem in Multicast Communication, International Conference on Innovation & Emerging Trends in Computing & Information Technology., Jan 2024

11. Abhinav Mathur, Shikha, Divyashikha Sethia, Body sensor-based Multimodal Nurse Stress Detection using Machine Learning, IEEE COMSNET Nethealth Jan 2024

12. Neha Gahlan, Divyashikha Sethia, "Emotion Recognition from Facial Expressions using Deep Recurrent Attention Network", IEEE COMSNET Nethealth Jan 2024

13. Sourav Seal, Divyashikha Sethia, "Soil Moisture Prediction Using Deep Learning on Hyperspectral Data", accepted in 2nd Workshop on SMART AGRICULTURE FOR THE ENVIRONMENTAL EMERGENCY (SmartAgr) ACM AI/ML conference Oct 2023

14. Shagun jain, Divyashikha Sethia, "A hybrid approach for soil nutrient estimation using multispectral data for Begium and Luxembourg.", Oct 2023, IEEE First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI) 

15. Chirag Ahuja, Divyashikha Sethia, "Auto-Augmentation for Emotion Recognition in EEG - A Class and Subject Invariant Approach", IEEE 14th INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT), July 2023

16. Praveen Singh Rawal, Divyashikha Sethia, "APEC: App Permission classification with Efficient Clustering", IEEE (CIISCA), June 2023, Bangalore

17. Praveen Singh Rawal, Divyashikha Sethia, "App Permission Classification dynamic Model (APCM)", The 14th International Conference on Computing, Communication and Networking Technologies (ICCCNT), july 2023, New Delhi

18. Shikha,  Divyashikha Sethia,  S. Indu, Ensemble Classifier for EEG-based Stress Classification: An Empirical Study on Stacking Classifiers, 3rd International Conference on Computational Electronics for Wireless Communications (ICCWC - 2023)

19. Konjengbam Roshan Singh and Divyashikha Sethia , ALPAK: (Anonymized Lightweight PUF-based group Authentication with Key distribution) for IoT Devices, IEEE 14th ICCCNT June 2023 

20. Shagun jain, Divyashikha Sethia, "A review on application of artificial intelligence for identifying soil nutrients", International conference on agriculture centric computation, Springer May 2023

21.  Neha Gahlan, Divyashikha Sethia, "Three Dimensional Emotion State Classification based on EEG via Empirical Mode Decomposition", IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND APPLICATIONS, April, 2023.

22. Garima Mazumdar, Karan Singh, Divyashikha Sethia, ML-Based Stress Classification and Detection Using Multimodal Affect Dataset, INTERNATIONAL CONFERENCE ONNETWORKS, INTELLIGENCE AND COMPUTING (ICONIC-2023) APRIL 28-29,TH 2023 (Socpus Indexed Taylor & Francis)

23. Sahgun, Divyashikha Sethia, "A Review on Applications of Artificial Intelligence For Identifying Soil Nutrients", IEEE International Conference on Agriculture-Centric Computation, 11th - 13th May 2023, Indian Institute of Technology Ropar.

24. Manan Agrawal, Mohd Ayaan Anwar, Neha Gahlan, Divyashikha Sethia, FedEmo: A Privacy-Preserving Framework for Emotion Recognition using EEG Physiological Data . COMSNET Nethealth Jan 2023.

25. Shikha, Divyashikha Sethia, S. Indu, Efficient Stress Detection System using Feature Selection and Ensemble Learning Method, 1st INTERNATIONAL CONFERENCE ON Communication, Security and Artificial Intelligence Dec (ICCSAI - 2022)

26. Neha Ghalna, Divyashikha Sethia, "Fed-MLP: Federated Framework for Recognizing human Emotions via Physiological Signal EEG". IEEE ICCSAI, Dec 2022. 

27. Apratim Shrivastav, Utkarsh Kuchhal, Samarth Singhal ,Tanmay Jain , Divyashikha Sethia , Vidushi Chaudhary ,Rajiv Nigam , Ashish Kumar Namdeo , Optimised Algorithm for Step Count Estimation Using Sensor Data from Smartphones and Wearables, 2022 IEEE Region 10 Symposium (TENSYMP) , July 2022

28. Gadde Satya Sai Naga Himabindu; Rajat Rao; Divyashikha Sethia, "Encoder-decoder based multi-label emoji prediction for Code-Mixed Language (Hindi+English), IEEE 2nd International Conference on Intelligent Technologies (CONIT), 24-26 June 2022"

29. Mohammad Elham Walizad, Mehreen Hurroo, Divyashikha Sethia, "Driver Drowsiness Detection System using Convolutional Neural Network", IEEE 6th International Conference on Trends in Electronics and Informatics (ICOEI 2022), April 2022

30. Anushka Gupta, Bhumika Bhatia, Diksha Chugh, Divyashikha Sethia, "iCAST: Impact of Climate on Assistive Scene Text detection for autonomous vehicles", 9th International Conference on Advanced Computing and Communication Systems (ICACCS 2022), June 2022

31. Prateek Singh, Lakshya, and Divyashikha Sethia, "Stock Price Prediction Using News Sentiment Analysis", IEEE International Conference for Intelligent Technologies (CONIT) June, 2022

32. Shikha, Aryan, Lovish Arya, Divyashikha Sethia, "HRV and GSR as Viable Physiological Markers for Mental Health Recognition", IEEE COMSNET NetHealth 2022

33. Chirag Ahuja, Divyashikha Sethia, "Measuring Human Auditory Attention with EEG", IEEE COMSNET MINDS 2022

34. Taksh Kamlesh, Divyashikha Sethia and Mrigank Singh, "Short Term Effect Of Physical Exercise On Selective Attention Using EEG and Stroop Task ", IEEE COMSNET MINDS 2022     

35. Anushka Gupta, Bhumika Bhatia, Diksha Chugh, Gadde Satya Sai Naga, Himabindu, Divyashikha Sethia, Ekansh Agarwal, Depanshu Sani and Saurabh Garg, "Context-Aware Emoji Prediction Using Deep Learning", Springer, 3rd International Conference on Artificial Intelligence and Speech Technology (AIST2021) , NOv 2021

36. Shikha, Manan Agrawal, Mohd Ayaan Anwar, Divyashikha Sethia, "Stacked Sparse Autoencoder and Machine Learning Based Anxiety Classification Using EEG Signals", ACM AI/ML Conference, Oct 2021

37. Kshitij Chauhan; Shivam Kumar; Divyashikha Sethia; Mohammad Nadeem Alam, Performance Analysis of Kotlin Coroutines on Android in a Model-View-Intent Architecture pattern, 2nd International Conference for Emerging Technology (INCET), May 2021

38. Chandra, V., Priyarup, A., Sethia, D. (2021). Comparative Study of Physiological Signals from Empatica E4 Wristband for Stress Classification. In: Singh, M., Tyagi, V., Gupta, P.K., Flusser, J., Ören, T., Sonawane, V.R. (eds) Advances in Computing and Data Sciences. ICACDS 2021. Communications in Computer and Information Science, vol 1441. Springer, Cham. https://doi.org/10.1007/978-3-030-88244-0_21 

39. Sethia, D., Aggarwal, R., Bhayana, S., Mehta, S. (2022). RSA-Based CP-ABE Scheme with Scalable User Revocation for IoT and Smartcard Devices. In: Zhang, YD., Senjyu, T., So-In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. Lecture Notes in Networks and Systems, vol 286. Springer, Singapore. https://doi.org/10.1007/978-981-16-4016-2_43 

40. Divyashikha Sethia, Anil Singh Parihar, Aheli Ghosh, Tanish Grover, Deep Diwakar, Shivam Kumar, Utkarsh Tyagi , "mFlameGaze: Mobile-Based Flame Gazing for Improving Sustained Attention", accepted in COMSNETS 2021 - NetHealth Workshop 2021, to be presented in Jan 2021.

41. Minni Jain, Rishabh Doshi, Vibhu Sehra, and Divyashikha Sethia,  "Exploring the effects of different Embedding algorithms and Neural Architectures on early detection of Alzheimer's Disease", accepted in Springer. International Semantic Intelligence Conference (ISIC 2021),  to be presented in Feb 2021.

42. Alwin T. Aind ; Akashdeep Ramnaney ; Divyashikha Sethia, Q-Bully: A Reinforcement Learning based Cyberbullying Detection Framework, IEEE Int Conf. Emerging Technology (INCET), 2020 

43. Debarshi Nath, Anubhav, Mrigank Singh, Divyashikha Sethia, Diksha Kalra, S. Indu, "A Comparative Study of Subject-Dependent and Subject-Independent Strategies for EEG-Based Emotion Recognition using LSTM Network", ACM Int Conf ICCDA , San Jose, 2020

44. Debarshi Nath, Anubhav, Mrigank Singh, Divyashikha Sethia, Diksha Kalra, S. Indu, An Efficient Approach to EEG-Based EmotionRecognition using LSTM Network at IEEE conference 16th IEEE Colloquium on Signal Processing and its Applications (CSPA 2020), Malaysia,

45. Divyashikha Sethia et al., "Constant Size CP-ABE with Scalable Revocation for Resource-Constrained IoT Devices", IEEE Proc . Int. Conf. UEMCON 2019, New York

46. Gupta D., Sethia D., Gupta A., Sharma T. (2020) A Multiclass Classification of Epileptic Activity in Patients Using Wavelet Decomposition. In: Agarwal S., Verma S., Agrawal D. (eds) Machine Intelligence and Signal Processing. MISP 2019. Advances in Intelligent Systems and Computing, vol 1085. Springer, Singapore. https://doi.org/10.1007/978-981-15-1366-4_33

47. Preeti Naga, Divyashikha Sethia,  Brain Mapping Based Stress Identification Using Portable EEG Based Device”, COMSNET 2019 (BCI)

48. Zeya Umayya, Divyashikha Sethia, “Pro-SRCC: Proxy-based Scalable Revocation for Constant Ciphertext length”, Accepted in The Twelfth International Conference on Emerging Security Information, Systems and Technologies SECURWARE 2018,  (Cryptography)

49.  Harsh Dabas, Chaitanya Sethi, Chirag Dua, Mohit Dalawat and Divyashikha Sethia, "EEG-Based Attention Feedback to Improve Focus in E-Learning", ACM Proc. Int. Conf. Computer Science and Artificial Intelligence (CSAI 2018), (BCI)

50. Harsh Dabas, Chaitanya Sethi, Chirag Dua, Mohit Dalawat and Divyashikha Sethia, "Emotion Classification using EEG Signals" , ACM 2018 2nd International Conference on Computer Science and Artificial Intelligence (CSAI 2018), (BCI) Best Paper award.

51. Divyashikha Sethia, Huzur Saran, Daya Gupta, Harsh Dabas, Preeti Nagar, “Selective IoT Access with Scalable CP-ABE Revocation and Delegation”, IEEE Proc. Int. Cong. Computational Science and Computational Intelligence, 2017 (Cryptography)

52. Preeti Nagar; Divyashikha Sethia ,”Group authorization using threshold signatures for medical procedures”; 2017 9th International Conference on Communication Systems and Networks (COMSNETS), Year: Jan 2017, Pages: 492 – 497, Award for paper presentation, (Cryptography)

53.  Shalini Sheoran; Divyashikha Sethia; Huzur Saran , “Optimized MapFile Based Storage of Small Files in Hadoop”; 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), June 2017

54.  Divyashikha Sethia, Suraj Singh, Vaibhav Singhal, "ABE Based Raspberry Pi Secure Health Sensor (SHS)", Springer's Lecture Notes in Electrical Engineering, The Second International Symposium on Ubiquitous Networking (UNet 2016) (Cryptography)

55. Divyashikha Sethia, Daya Gupta, Huzur Saran, Security framework for portable NFC mobile based health record system,  IEEE WiMob Oct, 2016 (Cryptography)

56. Divyashikha Sethia, Daya Gupta, Huzur Saran, Arpit Goyal, Radhika Kucchal, "Secure Distributed Backup Management Of Personal Health Records", E-Health, IADIS Proceedings, Madeira, Portugal, July 2016

57. Divyashikha Sethia, Daya Gupta, Mishika Gupta, Mayank Goyal and Parul Choudhary, "PCA based Health Card Access", accepted in IEEE International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET 2016) (Cryptography)

58. Swati Mehta, Anant Chowdhary,Kartikeya Bhatt, Siddharth Bhatnagar, Divyashikha Sethia, "MRDMS-Mobile Replicated Database Management Synchronization", IEEE SPIN Feb 2014.

59. Divyashikha Sethia, Huzur Saran, Daya Gupta, Tanuj Mittal, Ujjwal Arora, "NFC Based Secure Mobile Healthcare System", IEEE COMSNET 2014

60. Soham Banerjee, Divyashikha Sethia, Tanuj Mittal, Ujjwal Arora, Akash Chauhan, "Secure Sensor Node with Raspberry Pi", IMPACT 2013, IEEE publications (Cryptography)

61. Tanuj Mittal, Lokesh Singhal, Divyashikha Sethia , "Optimized CPU Frequency Scaling on Android Devices Based on Foreground Running Application", AUC- 2012 Chennai, India, 2012, Springer LNEE.

62. Divyashikha Sethia, Shantanu Jain, Himadri Kakkar, "Automated NFC enabled Rural Healthcare for reliable patient record maintenance", Global Telehealth (GT2012) Conference November 2012 , Sydney, Australia 

63. Gaurav Aggarwal, Gaurav Kumar, Divyashikha Sethia, “Dynamic Prefix Caching of Videos with Lazy Update”, CCSEIT- 2012, Coimbatore, India, ACM.

64. Divyashikha Sethia, Huzur Saran, “Error Resilient Video Streaming for Heterogeneous Network”, High Performance Computing HiPC 2006, Banglore, December 2006, published in Springer Verlag as Lecture Notes in Computer Science (LNCS).  

65. Divyashikha Sethia, Huzur Saran,  “Resilient Video Streaming with Path Diversity for Heterogeneous Networks”, Recent Advances in Peer-to-Peer Streaming (WRAIPS) 2006,Waterloo, Canada

   Poster:

1. Nipun Batra, Amit Kothari, Divyashikha Sethia, "Optimizing Brightness Reduction for Battery Saving on Android mobile devices", IBM ICARE, 2011