Patents

  1. A System and Method For Tracking of Drug Product and Expiry Date Alert of Pharmaceuticals using Deep Learning, Indian patent, Status: published, Application Number: 202331058909, Filing date 02/09/2023.

  2. A Covariate-based Gait Recognition System and Method for Edge Analytics Using Optimized Deep Learning Pipeline, Indian patent, Status: published, Application Number: 202111034240, Filing date 29/07/2021, Publication date 27/08/2021, Examination date 29/07/2021.

  3. Content Based Video Ranking, Indian patent, Status: published, Application Number: 202011053220, Filing date 07/12/2020, Publication date 08/01/2021.

  4. Inexpensive Nail-fold Capillaroscopy for Early Detection of Cardio-Metabolic Disease, Australian patent, Status: granted, Application Number: 2021100922, Filing date 2021-02-18, Australian OPI date 2021-04-29, Effective date 2021-02-18, Expiry date 2029-02-18.

  5. Content Based Video Ranking, Australian patent, Status: granted, Application Number: 2021105538, Filing date 2021-08-15, Australian OPI date 2021-11-11, Effective date 2021-08-15, Expiry date 2029-08-15.

  6. Sign Language Translator, South African patent, Status: granted, Patent Application Number: 202110309, Filing date 13/12/2021.

Journals

  1. Anubha Parashar, Apoorva Parashar, Mohammad Shabaz, Deepak Gupta, Aditya Kumar Sahu, Muhammad Attique Khan, Advancements in artificial intelligence for biometrics: A deep dive into model‑based gait recog‑ nition techniques, Engineering Applications of Artificial Intelligence, Volume 130, 2024, 107712, ISSN 0952‑1976, https://doi.org/10.1016/j.engappai.2023.107712 [SCI‑ Q1 IF 8.34].

  2. Anubha Parashar, Apoorva Parashar, Shekhawat RS, Ding W, Rida I. (2022). Deep Learning Pipelines for Recognition of Gait Biometrics with Covariates - A Comprehensive Review. Artificial Intelligence Review., 2022 (Q1) SCI, IF – 9.588., https://doi.org/10.1007/s10462-022-10365-4.

  3. Anubha Parashar, Rajveer Singh Shekhawat, Real‑time Gait Biometrics for Surveillance Applications: A Re‑ view, Image and Vision Computing, https://doi.org/10.1016/j.imavis.2023.104784 [SCI‑ Q1 IF 4.7].

  4. Anubha Parashar, Apoorva Parashar, Weiping Ding, Mohammad Shabaz, Imad Rida, Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches, Pattern Recognition Letters, Volume 172, 2023, Pages 65‑73, ISSN 0167‑8655, https://doi.org/10.1016/j.patrec.2023.05.021 [SCI‑ Q1 IF 5.1].

  5. Anubha Parashar, Apoorva Parashar, Imad Rida, Journey into gait biometrics: Integrating deep learning for enhanced pattern recognition, Digital Signal Processing, https://doi.org/10.1016/j.dsp.2024.104393 Volume 147, 2024, 104393, ISSN 1051‑2004. [SCI Q2 IF 2.9].

  6. Aurangzeb, K., Javeed, K., Alhussein, M., Rida, I., Haider, S. I., & Parashar, A. (2024). Deep Learning Approach for Hand Gesture Recognition: Applications in Deaf Communication and Healthcare. Computers, Materials & Continua, 78(1), https://doi.org/10.32604/cmc.2023.042886 [Q1 SCIE‑ IF 3.6].

  7. Apoorva Parashar , Rahul Rishi , Anubha Parashar, Imad Rida, Medical imaging in rheumatoid arthritis: A review on deep learning approach, Open Life Sciences, Volume 18, Issue 1, 2023, https://doi.org/10.1515/biol‑2022‑0611 [SCI‑ Q2 IF 2.2].

  8. Vidyadhar Jinnappa Aski, Vijaypal Singh Dhaka, Anubha Parashar, Sunil kumar, Imad Rida, Internet of Things in healthcare: A survey on protocol standards, enabling technologies, WBAN architectures and open issues, Physical Communication, 2023, 102103, ISSN 1874‑4907, https://doi.org/10.1016/j.phycom.2023.102103 [SCI‑ Q2 IF 2.2].

  9. Anubha Parashar, Shekhawat RS, Ding W, Rida I.(2022). Intra-class Variations with Deep Learning-based Gait Analysis: A Comprehensive Survey of Covariates and Methods. Neurocomputing., 2022 (Q1) SCI, IF – 5.667., https://doi.org/10.1016/j.neucom.2022.07.002.

  10. Anubha Parashar, Shekhawat RS, (2022). Protection of gait data set for preserving its privacy in deep learning pipeline IET Biometrics., 2022 (Q1) ESCI, IF – 2.716., https://doi.org/10.1049/bme2.12093.

  11. Anubha Parashar, Shekhawat RS, (2022). A Robust Covariate-invarient Gait Recognition based on Pose Features IET Biometrics., 2022 (Q1) ESCI, IF – 2.716., https://doi.org/10.1049/bme2.12103.

  12. Anubha Parashar, et. al. (2016). Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean International Journal of Interactive Multimedia and Artificial Intelligence., 2022 Vol. 4, (pp 29-34) (Q2) ESCI, IF – 4.936., https://doi.org/10.1145/2905055.2905207.

  13. Anubha Parashar, et. al. (2014). Business and Social Behaviour Intelligence Analysis Using PSO International Journal of Interactive Multimedia and Artificial Intelligence., 2022 Vol. 2, (pp 69-74) (Q2) ESCI, IF – 4.936, https://doi.org/10.9781/ijimai.2014.268.

  14. Anubha Parashar (2018). Machine learning application to improve COCOMO model using neural networks. International Journal of Information Technology and Computer Science (IJITCS), 3, 35-51., http://dx.doi.org/10.5815/ijitcs.2018.03.05.

  15. Anubha Parashar (2017). Selecting the COTS components using Ad-hoc approach. International Journal of Wireless and Microwave Technologies (IJWMT), 7(5), 22-31., https://doi.org/10.5815/IJWMT.2017.05.03.
  16. Pranav Gupta, Vaibhav Singh, Anubha Parashar, Smart Autonomous Vehicle Using End to End Learning, Jour‑ nal of Innovation in Computer Science and Engineering, Guru Nanak Publications ISSN: 2278‑0947, Volume 9, Issue 2.

International Conference

  1. Anubha Parashar, Apoorva Parashar, Imad Rida, Vidyadhar Aski, et al. “Deep Learning‑based Framework for Accurate Clothing Attribute Recog‑ nition and Style Navigation for Gait Recognition.” In International Conference on Bio‑engineering for Smart Technologies, 2023 .

  2. Anubha Parashar, Apoorva Parashar, Imad Rida, "Protecting the Privacy of Face by De-Identification Pipeline Based on Deep Learning", 16th International Conference on Signal Image Technology and internet Based Systems 10.1109/SITIS57111.2022.00068 IEEE, Dijon France, 19-21 October 2022.

  3. Apoorva Parashar, Anubha Parashar, Vidyadhar Aski, ”Optimized Pose-Based Gait Analysis for Surveillance”, Second International Conference on Innovations in Computational Intelligence and Computer Vision, https://doi.org/10.1007/978-981-19-0475-2_54, Manipal University Jaipur, India. Aug 05-06, 2021, SPRINGER .

  4. Vidyadhar Aski, Vijay Dhaka, Sunil Kumar, Anubha Parashar, ” IoT enabled elderly monitoring system and the role of privacy preservation frameworks in health applications”, 5th International Conference on Intelligent Data Communication Technologies and Internet of Things, https://doi.org/10.1007/978-981-16-7610-9_72, JCT College Coimbatore, India 27-28, August 2021, SPRINGER .

  5. Pranav Gupta, Vaibhav Singh, Anubha Parashar, ”Smart Autonomous Vehicle Using End To End Learning”, 8th International Conference on Innovations in Computer Science & Engineering, https://www.indianjournals.com/ijor.aspx?target=ijor:jicse&volume=9&issue=2&article=002, Guru Nanak Institute of Technology Aug 28 - 29, 2020, SPRINGER.

  6. Vidyadhar Aski, Vijay Dhaka, Arjun Singh, Anubha Parashar “A Multi-Factor Access Control and Ownership Transfer Framework for Future Generation Healthcare Systems”, International Conference on Opportunities & Challenges in Business Management. In proceedings of 4th International Conference On Opportunities And Challenges In Business Management 2020, https://ieeexplore.ieee.org/document/9315840 , MAHE Dubai, Feb 25 - 26, 2020, SPRINGER .

  7. Anubha Parashar, Apoorva Parashar, RS Shekhawat, Vidyadhar Aski “Surveillance System To Provide Secured Gait Signatures In Multi View Variations Using Deep Learning”, International Conference on Modelling, Simulation & Intelligent Computing. In Proceedings of Lecture Notes in Electrical Engineering" (LNEE) indexed in SCOPUS, Web of Science, ISI Proceedings, El-compendex and MetaPress, https://link.springer.com/chapter/10.1007/978-981-15-5243-4_21, BITS Dubai, January 29 - 31, 2020, SPRINGER .

  8. Vidyadhar Aski, Vijay Dhaka, Anubha Parashar, “An Attribute Based Break-Glass Access Control Framework For Medical Emergencies”, International Conference on Innovations in Computational Intelligence and Computer Vision. In Proceedings of Springer Book Series: “Advances in Intelligent Systems and Computing” indexed in Scopus, https://doi.org/10.1007/978-981-15-6067-5_66, Manipal University, January 18 - 19, 2018, SPRINGER.

  9. Anubha Parashar “IoT Based Automated Weather Report Generation and Prediction Using Machine Learning”, Second International Conference on intelligent Communication and Computational Techniques, https://ieeexplore.ieee.org/abstract/document/8968782/metrics#metrics, Manipal University, Sep 28 - 29, 2019, IEEE .

  10. Apoorva Parashar, Anubha Parashar “IoT Based Cloud Enabled Smart Electricity Management System”, International Conference on Smart IoT Systems. In Proceedings of the 2nd International Conference on Smart IoT Systems: Innovations in Computing, https://doi.org/10.1007/978-981-13-8406-6_71, Scopus Indexed, Manipal University, Jan 18 - 19, 2019, SPRINGER.

  11. Anubha Parashar “Cloud Assisted IoT Enabled Smoke Monitoring System (e-Nose) Using Machine Learning Techniques”, International Conference on Smart IoT Systems. In Proceedings of the 2nd International Conference on Smart IoT Systems: Innovations in Computing, https://doi.org/10.1007/978-981-13-8406-6_70, Scopus Indexed, Manipal University, Jan 18 - 19, 2019, SPRINGER.

  12. A Parashar, RS Shekhawat, A Parashar, “Tracing Gesture and Extracting Gait Features to Recognize Parkinson’s Disease Using Multi-layered Back Propagation Algorithm”, International Conference on Innovative Technologies (pp 133-136), http://in-tech.info/download/%20IN_TECH_2018_Proceedings, Received Best Paper Award, Zagreb Croatia, Sept. 5 - 7, 2018, Received Best Paper Award.

  13. A Parashar, A Parashar “Identification of gait data using machine learning technique to categories human locomotion”, 10th International Conference on Security of Information and Networks (pp 229-234), https://doi.org/10.1145/3136825.3136903, Tier 3 conference, Jaipur India, October 13 -15, 2018, ACM.

  14. Anubha Parashar, Deepak Goyal, “Clustering Gait Data using different machine learning techniques and finding the best technique”, International Conference on Smart Trends for Information Technology and Computer Communications, https://doi.org/10.1007/978-981-10-3433-6_51, Jaipur, India, August 6 -7, 2016, SPRINGER.

  15. A Parashar, A Parashar, “Classifying Gait Data using different machine learning techniques and finding the optimum technique of classification”. International Conference on ICT for Sustainable Development, https://doi.org/10.1007/978-981-10-3920-1_31, Panaji, Goa, India July 1 -2, 2016, SPRINGER.

  16. A Parashar, A Parashar, “Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean”. Second International Conference on Information and Communication Technology for Competitive Strategies. https://doi.org/10.1145/2905055.2905207, Udaipur, India Mar 4 -5, 2016, ACM Scopus - WOS.

Book Chapter

  1. Book Title: Cognitive Computing for Human-Robot Interaction: Principles and Practices. Book series Title: Cognitive Data Science in Sustainable Computing.
    Parashar, A., Parashar, A., & Goyal, L. M. (2021). Optimized navigation using deep learning technique for automatic guided vehicle. In Cognitive Computing for Human-Robot Interaction (pp. 147-161), Academic Press, https://doi.org/10.1016/B978-0-323-85769-7.00002-1 Scopus Indexed.

  2. Book Title: Security and Trust Issues in Internet of Things: Blockchain to the rescue. Book series Title: Internet of Everything’s (IoE) : Security and Privacy Paradig.
    Anubha Parashar, Apoorva parashar, Vidyadhar Aski, Rajveer S Shekhawat, ”IoT enabled Surveillance System to Provide Secured Gait Signatures Using Deep Learning ”, CRC Press, Taylor & Francis Group, USA (pp - 24 pages) 1st Edition , ISBN 9781003121664, https://doi.org/10.1201/9781003121664, December 2, 2020.

  3. Book Title: Autonomous driving and driver assistance system. Book series Title: Autonomous vehicle application.
    Parashar, A., Aski, V., & Parashar, A. (2021). Automated Guided Autonomous Car Using Deep Learning and Computer Vision. In Autonomous Driving and Advanced Driver-Assistance Systems (ADAS) (pp. 219-232), CRC Press, https://www.taylorfrancis.com/chapters/edit/10.1201/9781003048381-10/automated-guided-autonomous-car-using-deep-learning-computer-vision-anubha-parashar-vidyadhar-aski-apoorva-parashar, 15 December 2021.

  4. Book Title: Autonomous driving and driver assistance system. Book series Title: Autonomous vehicle application.
    Parashar, A., Parashar, A., & Aski, V. (2021). Open-Pit Mine Autonomous Bot. In Autonomous Driving and Advanced Driver-Assistance Systems (ADAS) (pp. 485-504). CRC Press, https://www.taylorfrancis.com/chapters/edit/10.1201/9781003048381-27/open-pit-mine-autonomous-bot-apoorva-parashar-anubha-parashar-vidyadhar-aski, 15 December 2021.

  5. Book Title: Integration of WSNs into Internet of Things.
    Sharma, S. K., & Parashar, A. (2021). Smart Agriculture Using Wireless Sensor Networks. Integration of WSNs into Internet of Things, 121-134. https://www.taylorfrancis.com/chapters/edit/10.1201/9781003107521-7/smart-agriculture-using-wireless-sensor-networks-somya-goyal-sudhir-kumar-sharma-anubha-parashar Taylorfrancis, CRC Press, 2021/6/4.

  6. Book Title: Data Intensive Computing Applications for Big Data. Book series Title: Advances in Parallel Computing.
    Anubha Parashar, Apoorva Parashar. ”Big Data Analysis Using Machine Learning Approach to Compute Data”, Advances in Parallel Computing. IOS PRESS (pp 133 - 150) http://ebooks.iospress.nl/publication/48530, Feb 2018, Scopus Indexed.

  7. Book Title: Data Intensive Computing Applications for Big Data. Book series Title: Advances in Parallel Computing.
    Anubha Parashar, Anita Shrotriya ”Application of Big Data Analytics in Cloud Computing via Machine Learning”, Advances in Parallel Computing. IOS PRESS (pp 236 - 366), http://ebooks.iospress.nl/volumearticle/48534, Feb 2018, Scopus Indexed.

Articles

  1. Parashar, A., Kumar, S., Bhaskar, V. S., & Chinia, R. (2014). Noisy Distance Measurements Using 3-D Localization with Rb-Rf Methods. arXiv preprint arXiv:1407.2125., https://doi.org/10.48550/arXiv.1407.2125.

  2. Rani, M., Parashar, A., Chaturvedi, J., & Malviya, A. (2014). Search Space Engine Optimize Search Using FCC_STF Algorithm in Fuzzy Co-Clustering. arXiv preprint arXiv:1407.6952., https://doi.org/10.48550/arXiv.1407.6952.

  3. Chaturvedi, J., Parashar, A., Manjrekar, A. A., & Bhaskar, V. S. (2014). Social and business intelligence analysis using PSO. arXiv preprint arXiv:1407.6090., https://doi.org/10.48550/arXiv.1407.6090.

  4. Vaish, K., Rajesh, S. M., Pasupatheeswaran, K., Parashar, A., & Chaturvedi, J. (2014). Design and Autonomous Control of the Active Adaptive Suspension System Rudra Mars Rover. arXiv preprint arXiv:1407.5197., 2022 (Q2) ESCI, IF – 2.716., https://doi.org/10.48550/arXiv.1407.5197.

  5. Parashar, A. (2016). A proposed solution to knapsack problem using branch & bound technique. International Journal for Innovative Research in Multidisciplinary Field, 2(7), 240-246., 2022 (Q2) ESCI, IF – 2.716., Link.

  6. Parashar, A., & Bijalwan, V. A Text to Speech Conversion Engine., Link.

Presentation

  1. Indian Society for Technical Education (ISTE) ANNUAL STUDENTS’ CONVENTION (ASC - 2010), Presented a paper entitled, “Electronic Commerce”, in ISTE’s ASC-2010 organized by BVICAM, New Delhi,25 September, 2010.

  2. 1st Online International Conference on Advances in Computing, Communication and Control” (ICA3C-2020), Presented a paper entitled, "Deep Learning based Surveillance System using Gait Signatures”, in ICA3C-2020 organized by School of Computer Science and Applications, IIMT University, Meerut, 16th-17th June, 2020.