Dr. Aditi Sharma

Assistant Professor

Specialization

Affective Computing, Text Summarization, Machine Learning

Email

aditi.sharma@thapar.edu

Specialization

Affective Computing, Text Summarization, Machine Learning

Email

aditi.sharma@thapar.edu

EDUCATIONAL QUALIFICATIONS 
•    Ph.D. (Doctor of Philosophy), Computer Science Engineering, 2023, Delhi Technological University, Delhi, India. 
THESIS: Modelling and Application of Biomarkers for Affective State Mining Using Soft Computing Techniques. 
•    M.Tech. (Master of Technology), Software Engineering, 2017, Degree with Distinction, Delhi Technological University, Delhi, India. 
THESIS: A Fuzzy logic based Text Summarization. 
•    B.Tech. (Bachelor of Technology), Computer Science & Engineering, 2015, Degree with Distinction, Punjabi University, Patiala, Punjab, India. 
PROJECT: QULOG- A question answering and blog website. 
•    GATE (Graduate Aptitude Test in Engineering): 2015, 2018, 2021, 2022. 
BEST SCORE (2015): All India Rank: 571, Percentile: 99.55, Score: 717. 
•    UGC-NET (National Eligibility Test- Assistant Professor), 2018. 
        PERCENTILE: 99.3. 

ACADEMIC /TEACHING EXPERIENCE                                                    4 Years + 
•    Assistant Professor (Grade-1), Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Thapar, India
                                     Jan’ 2023 – Till Date.
•    Assistant Professor (Grade-2), Department of Computer Science/Information Technology, Jaypee University of Information Technology, Waknaghat, India
                                Aug’ 2022 – Jan’ 2023. 

•    Assistant Professor (Adhoc), Department of Information Technology, Delhi Technological University, Delhi, India.
Jan’ 2021 – Jun’ 2021. 

•    Assistant Professor, School of Computing, DIT University, Dehradun, India.
Sep’ 2017 - Jan’ 2021.

SUBJECTS TAUGHT
•    FALL, 2017        Discrete Mathematics
•    WINTER, 2018        Software Engineering, Web Technology
•    FALL, 2018        Discrete Mathematics, Cryptography and Network Security
•    FALL, 2019        Discrete Mathematics, Cryptography and Network Security
•    WINTER, 2020        Theory of Computation, Compiler Design
•    FALL, 2020        Discrete Mathematics
•    WINTER, 2021        Nomadic Computing
•    FALL, 2022        Artificial Intelligence Techniques, Programming for                     Problem Solving Lab
•    WINTER, 2023        Object Oriented Programming

    
RESEARCH PROFILES: 
Google Scholar Link
Scopus
Web of Science


PUBLICATIONS
    JOURNALS (SCI/SCIE)

1.    A. Kumar, A. Sharma*, “Systematic Literature Review of Fuzzy Logic Based Text Summarization”. Iranian Journal of Fuzzy Systems, ISSN: 2676-4334, Vol. 16 (2019), Issue. 5, pp: 45-59. DOI:10.22111/ijfs.2019.4906 [SCIE, Impact factor: 2.006].
2.    A. Kumar*, K. Sharma, A. Sharma, “Hierarchical deep neural network for mental stress state detection using IoT based biomarkers”. Pattern Recognition Letters, Elsevier, ISSN: 0167-8655, Vol. 145(2021), pp: 81-87, DOI: 10.1016/j.patrec.2021.01.030 [SCI, Impact Factor: 4.757].
3.    A. Kumar, K. Sharma, A. Sharma*, “Genetically optimized Fuzzy C-means data clustering of IoMT-based biomarkers for fast affective state recognition in intelligent edge analytics”. Applied Soft Computing, Elsevier ISSN: 1568-4946, Vol. 109 (2021), pp: 107525, DOI: 10.1016/j.asoc.2021.107525 [SCIE, Impact Factor: 8.263].
4.    A. Sharma, K. Sharma, A. Kumar*, “Real-Time Emotional Health Detection using Fine-Tuned Transfer Networks with Multimodal Fusion” Neural Computing and Applications, Springer, ISSN: 1433-3058, DOI:  https://doi.org/10.1007/s00521-022-06913-2 [SCIE, Impact Factor: 5.102].
5.    A. Kumar, K. Sharma, A. Sharma*, “MEmoR: A Multimodal Emotion Recognition using Affective Biomarkers for Smart Prediction of Emotional Health for People Analytics in Smart Industries”. Image and Vision Computing, Elsevier ISSN: 0262-8856, Vol. 123, 104483 (2022), DOI: https://doi.org/10.1016/j.imavis.2022.104483 [SCI, Impact Factor: 3.860].

    JOURNALS (SCOPUS)
1.    A. Sharma*, R. Ranjan. "Software Effort Estimation using Neuro Fuzzy Inference System: Past and Present” International Journal on Recent Innovation Trends in Computing and Communication (IJRITCC), 2017, Vol.5, pp:78-83, 2321-8169.


    CONFERENCES (WOS Indexed)
1.    A. Kumar, A. Sharma*, S. Sharma, S. Kashyap, “Performance Analysis of Keyword Extraction Algorithms Assessing Extractive Text Summarization” In 2017 International Conference on Computer, Communications and Electronics (Comptelix), pp. 408-414, IEEE, 2017, Jaipur, India. 
2.    A. Kumar, K. Sharma, A. Sharma*, “Empirical Analysis of Psychological Well-Being of Students during the Pandemic with Rebooted Remote Learning Mode”, In 2022 International Conference on Data Analytics and Management (ICDAM-2022), Springer, 2023, Poland, Europe. https://doi.org/10.1007/978-981-19-7615-5_2

    CONFERENCES (Scopus Indexed)
1.    R. Ranjan, A. Sharma*, “Voice Control IOT Devices Framework for Smart Homes”, in Proceedings of International Conference on Computing, Communications, and Cyber-Security (IC4S 2019), pp:57-67, DOI: 10.1007/978-981-15-3369-3, Springer, 2020, Chandigarh, India.
2.    A. Kumar, A. Sharma*, A. Nayyar, “Fuzzy Logic Based Hybrid Model for Automatic Text Summarization”, in proceedings of 5th International Conference on Intelligent Information Technology (ICIIT 2020), pp: 7-15, ACM, 2020, Vietnam, ACM.

    CONFERENCES
1.    A. Kumar, A. Sharma*, A. Arora, "Anxious Depression Prediction in Real-time Social Data" in proceedings of International Conference on Advances in Engineering Science Management & Technology 2019, Uttaranchal University, Dehradun, arXiv preprint arXiv:1903.10222.
2.    R. Ranjan, A. Sharma*, “Evaluation of Frequent Itemset Mining Platforms Using Apriori and FP-Growth Algorithm”, 4th International Conference on Computers & Management, Delhi, published in International Journal of Information Systems & Management Science, Vol. 2, No. 2, 2019, SSRN.

    BOOK CHAPTER (Scopus indexed)
1.    A. Sharma*, D. Jain, “Development of Industry 4.0”, In A Roadmap to Industry 4.0: Smart Production, Sharp Business and Sustainable Development, pp: 23-38, Springer, Cham, 2020, ISSN: 2522-8714, DOI: 10.1007/978-3-030-14544-6.
   
REVIWER: 
•    ACM Transactions on Asian and Low-Resource Language Information Processing
•    Information Fusion
•    Wireless Communications and Mobile Computing
•    Image and Vision Computing

AWARDS
•    Received “Commendable Research Award for excellence in Research” from Delhi Technological University for years 2022 & 2023.

PROFESSIONAL MEMBERSHIP
•    Member IEEE.
•    Member ACM.
•    Life Member of CSI (Computer Society of India).
•    Life Member of IAENG (International Association of Engineers).
 

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