Specialization

Machine Learning, EEG Signal Processing, Healthcare

Email

ashima.khosla@thapar.edu

Education
1.    PhD in Computer Science and Engineering Department from Punjab Engineering College (Deemed to be University), Chandigarh. (2018-2022)
Title: EEG signal processing & classification using machine learning
2.    MTech (Computer Science and Engineering) from Punjab Engineering College (Deemed to be University), Chandigarh from 2016-2018 with CGPA 9.41  
Title: “Performance Evaluation of RPL using Enhanced Objective Function”.
3.    BTech (Computer Science and Engineering) from Guru Nanak Dev University, Amritsar from 2012-2016 with CGPA: 9.44

Experience
1.    Assistant Professor at Computer Science and Engineering Department, Thapar University Patiala, India (August, 2024 - present).
2.    Project Engineer at CDAC, Thiruvananthapuram under the project “Emergency Response Support System (ERSS) – 112 emergency helpline” (Feb, 2023 - July, 2024).
3.    Project Associate II at CSIR-CSIO, Chandigarh under the project “Postural Stability Assessment System (Dynamic)” (July, 2022 – Feb, 2023).
4.    Teaching Assistant in 12-weeks NPTEL online course on “Deep Learning-Part 1” (July, 2021 – Oct, 2021).

Journal publications
1.    Khosla, P. Khandnor, and T. Chand, “Automated diagnosis of depression from EEG signals using traditional and deep learning approaches: A comparative analysis,” Biocybernetics and Biomedical Engineering, vol. 42, no. 1, pp. 108-142, 2021 [SCIE INDEXED, IF: 6.4]. 
2.    Khosla, P. Khandnor, and T. Chand, “EEG based automatic multi-class classification of epileptic seizure types using recurrence plots,” Expert Systems, p. e12923, 2021 [SCIE Indexed, IF: 3.3]. 
3.    Khosla, P. Khandnor, and T. Chand, “A comparative analysis of signal processing and classification methods for different applications based on EEG signals,” Biocybernetics and Biomedical Engineering, vol. 40, no. 2, pp. 649–690, 2020 [SCIE Indexed, IF: 6.4]. 
4.    Khosla, P. Khandnor, and T. Chand, “A novel method for EEG based Automated Eyes State Classification using Recurrence Plots and Machine Learning Approach,” Concurrency and Computation: Practice and Experience, vol. 34, 2022 [SCIE Indexed, IF: 2.0]. 
5.    Saini, Deepak, Ashima Khosla, Trilok Chand, Devendra K. Chouhan, and Mahesh Prakash. "Automated knee osteoarthritis severity classification using three‐stage preprocessing method and VGG16 architecture." International Journal of Imaging Systems and Technology (2023). [SCIE Indexed, IF: 3.0].
6.    Khosla, Ashima, Neelesh Kumar, and Preeti Khera. "Machine learning approach for predicting state transitions via shank acceleration data during freezing of gait in Parkinson’s disease." Biomedical Signal Processing and Control 92 (2024): 106053. [SCIE Indexed, IF: 4.9].

Conference publications
1.    Katinder Kaur, Padmavati Khandnor, and Ashima Khosla, “Classification of Meditation Expertise from EEG Signals Using Shallow Neural Networks” In Second International Conference on Biomedical Engineering Science and Technology : Roadway from Laboratory to Market (ICBEST 2023) held from 10-11 February 2023. (SCOPUS Indexed).
2.    Saini, Deepak, Ashima Khosla, Trilok Chand, Devendra K. Chouhan, and Mahesh Prakash. "A Deep Learning Approach for Development of Web Application for Automated Knee OA Classification." In 2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3), pp. 1-8. IEEE, 2023. (SCOPUS Indexed).

Book Chapter publication
1.    Saini, Deepak, Trilok Chand, Devendra K. Chouhan, Mahesh Prakash, and Ashima Khosla, “Image Segmentation using Template Matching Method for Automated Classification of Knee Osteoarthritis Grades” accepted in a book “Intelligent Computing Techniques in Biomedical Imaging: Methods, Case Studies, and Applications” to be published by Elsevier. 

Honours and Achievements 
    Won Best paper award in the International Conference on Biomedical Engineering Science and Technology: Roadway from Laboratory to Market (ICBEST 2023) held at NIT, Raipur.
    Appreciated for various activities by Haryana Police under the project “Emergency Response Support System (ERSS) – 112 emergency helpline”.
    Invited as an Expert Session Speaker at AICTE sponsored 6-day ATAL FDP on “Deep Learning: Fundamentals and Case Studies in Healthcare” at Punjab Engineering College (Deemed to be University), Chandigarh.

Trainings & Workshops
    Aug, 2023: Attended training on integration of Women Help Line (WHL) and Child Help Line (CHL) with 112 helpline number at Haryana State Commission for Women.
    May, 2023: Attended training on working of software for 112 in Mobile Data Terminal (MDT) installed in Emergency response vehicles under Punjab Police at Commando Complex.
    Aug, 2021: Five-day online IEEE SPS Summer School on ‘Deep Learning for Sensor Signal Analytics’ being organized by IEEE AcSIR-CSIO Student Branch, Chandigarh in association with CSIR-CSIO, Chandigarh.      
    Jan, 2020: Three-day Winter School on “Speech and Audio Processing” organised by IIT Mandi.
    Dec, 2019: Five-day FDP by AICTE Training and Learning (ATAL) Academy on "CYBER SECURITY" held at "Punjab Engineering College (Deemed to be University)".
    Dec, 2018: Five-day FDP on “Machine Learning and Data Analytics with Python” organised by Electronics & ICT Academy, IIT Roorkee held at DIT University, Dehradun.
    Dec, 2017: Attended Workshop on ‘Technical and Academic Writing’ organized by Regional English Language Office, US Embassy, New Delhi at PEC campus, Chandigarh.