Biosketch

Dr. Akshi Kumar is an Associate Professor in the Department of Information Technology, Netaji Subhas University of Technology, Delhi, India. She is a Post-doc from Federal Institute of Education, Science and Technology of Ceará, Fortaleza, Brazil and PhD from Faculty of Technology, University of Delhi, India. She was an Assistant Professor at the Delhi Technological University (formerly, Delhi College of Engineering), Delhi, India and has a total teaching experience of 16 years. Her achievements and awards are highlighted next:

• Included in the "Top 2% scientist of the world" list by Stanford University, USA in 2021.
• 4 Research awards, the “Commendable Research Award for Excellence in Research” at DTU in 2019, 2020, 2021 and the "VIWA Outstanding Women in Engineering (Computer Science & Engineering)" in 2020. 
• Published 76 peer-reviewed journal papers, including 37 SCIE publications (04 Transactions; 03 Single Author), 65 conference papers with 4 best paper awards and 2 patents with Indian Patent Office.
• Google Scholar citation count of 2246 with an h-index of 25 and i-10 index of 57 as on 15/11/2021 
• Successfully guided 5 PhD and 32 Master thesis.
• Accomplished productive collaborative research with grants of approximately $7000 from various international funding agencies.
• PhD dissertation in the field of Web Mining mentioned in one of the USA’s leading source on latest research news (VerticalNews).
• Pioneer study on computational natural language processing, “Sentiment Analysis on Twitter”, published in 2012 remains one of the benchmark work in the domain with 300+ citations
• In India, Rank 1 as a researcher in the field of affective computing and Rank 3 as a researcher in the field of sentiment analysis (as per Google Scholar citation on 15/11/21)
• 09 Keynote/Guest lectures, 09 conference session chair, 13 guest editor (9 SCIE) roles
• Monograph Book on Web Technology: Theory and Practice, Taylor & Francis, CRC Press, 2018 (12 Chapters, 219 pages). It is ‘recommended’ on the Scholars Archive of the University at Albany, State University of New York. 

Areas of Interest

Intelligent Web Technologies, Natural Language Processing, Affective & Personality Computing, Sentiment Analysis, Pro-active and Responsive Healthcare, AI’s societal impact, Computational Intelligence.

Publications (Click to expand)

https://scholar.google.com/citations?hl=en&authuser=1&user=b90f64MAAAA

2021:

Jain, DK, Kumar, A.,* Shrivastava, A. (2021).  “CanarDeep: A Hybrid Deep Neural Model with Mixed Fusion for Rumour Detection in Social Data Streams”, Neural Computing and Applications, Springer [SCIE- Impact Factor: 5.606], ISSN: 1433-3058.

Kumar, A., Raheja, S. (2021). “Edge Detection in Digital Images Using Guided L0 Smoothen Filter and Fuzzy Logic”. Wireless Personal Communication, Springer. https://doi.org/10.1007/s11277-021-08860-y [SCIE- Impact Factor: 1.671], ISSN: 0929-6212

Kumar, A.* (2021). “Contextual Semantics using Hierarchical Attention Network for Sentiment Classification in Social Internet-of-Things”, Multimedia Tools and Applications, Springer [SCIE- Impact Factor: 2.757], ISSN: 1380-7501

Kumar, A., Bhatia MPS, Sangwan, SR*. (2021).  “Rumour Detection using Deep Learning and Filter-Wrapper Feature Selection in Benchmark Twitter dataset”, Multimedia Tools and Applications, Springer[SCIE- Impact Factor: 2.757], ISSN: 1380-7501

Kumar, A.*, Sachdeva, N. (2021). “Deep Learning based Bi-GRU-Attention-CapsNet (Bi-GAC) Model for Cyberbullying Detection on Social Media”, World Wide Web, Springer [SCIE-Impact Factor: 2.716], ISSN: 1573-1413

Gupta, D. Bhatia MPS, Kumar, A.* (2021). “Resolving Data Overload and Latency Issues in Multivariate Time-Series IoMT Data for Mental Health Monitoring”, IEEE Sensors, pp. 1-8 [SCIE-Impact Factor: 3.301], ISSN: 1558-1748

Kumar, A.*, Dikshit, S., Albuquerque, VHC. (2021).  “Explainable Artificial Intelligence for Sarcasm Detection in Dialogues”, Wireless Communications and Mobile Computing, 2939334, pages 13 Hindawi [SCIE-Impact Factor: 2.336], ISSN: 1530-8677

Kumar A.*, Albuquerque, VHC. (2021). “Sentiment Analysis using XLM-R Transformer and Zero-shot Transfer Learning on Resource Poor Indian Language” ACM Transactions on Asian and Low-Resource Language Information Processing (ACM TALLIP), Vol. 20, Issue 5, Article no. 90, pp. 1-13- https://doi.org/10.1145/3461764. [SCIE-Impact Factor: 1.413] ISSN: 2375-4699

Kumar, A., Sharma, K., Sharma, A. (2021). “Genetically Optimized Fuzzy C-Means Data Clustering of IoMT-based Biomarkers for Fast Affective State Recognition in Intelligent Edge”, Applied Soft Computing, Elsevier, Vol. 109, 107525, https://doi.org/10.1016/j.asoc.2021.107525 [SCIE-Impact Factor: 6.725] ISSN: 1568-4946

Kumar, A.*, Sharma, K., Sharma, A. (2021). “Hierarchical Deep Neural Network for Mental Stress State Detection using IoT based Biomarkers”, Pattern Recognition Letters,  Elsevier, Vol.145, pp. 81-87, https://doi.org/10.1016/j.patrec.2021.01.030 [SCIE-Impact Factor: 3.756 ] ISSN:0167-8655

Kumar, A.*, Seth, S. Gupta, S., Maini, S. (2021). “Sentic Computing for Aspect-based Opinion Summarization using Multi-head Attention with Feature Pooled Pointer Generator Network”, Cognitive Computation,  Springer https://doi.org/10.1007/s12559-021-09835-8 [SCIE-Impact Factor: 5.418] ISSN:1866-9964

Kumar, A.* & Sachdeva, N. (2021). “Multimodal Cyberbullying Detection Using Capsule Network with Dynamic Routing and Deep Convolutional Neural Network”, Multimedia Systems, Springer https://doi.org/10.1007/s00530-020-00747-5 [SCIE-Impact Factor: 1.935] ISSN:1432-1882

Kumar, A.* (2021). “Leveraging Crowd Knowledge to Curate Documentation for Agile Software Industry using Deep Learning and Expert Ranking”, Multimedia Systems, Springer https://doi.org/10.1007/s00530-020-00741-x [SCIE-Impact Factor: 1.935] ISSN:1432-1882.

BOOKS

Kumar, A. (July 2018). “Web Technology: Theory and Practice”, Taylor and Francis, CRC Press, ISBN: 978-1-138-55043-8 (Monograph)