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Swati Aggarwal
Assistant Professor
Qualification
Ph.D, M.Tech, B.Tech
Email
swati1178@gmail.com

 

Bio-sketch

 

Swati Aggarwal did Ph.D from central university Jamia Millia Islamia, New Delhi. Currently she is working as an Assistant Professor in Computer Engineering Department of NSIT, An Autonomous Institution under Govt. of NCT of Delhi and affiliated to University of Delhi, India. Her interests include Neutrosophic Logic, Fuzzy sets, Artificial intelligence, Neural network, Machine learning and other Soft computing based techniques.

 

 

Areas of Interest

  1. Neutrosophic Logic
  2. Fuzzy sets
  3. Artificial intelligence
  4. Neural network
  5. Machine learning and other Soft computing based techniques.

 

 

 

Honours and Awards

  • IEEE Computational Intelligence Society (IEEE CIS) organized 2015 Webinar Competition for students and Professionals- Real World Applications and Emerging Topics in Computational Intelligence
  • Webinar by Swati Aggarwal on “A perspective shift from Fuzzy logic to Neutrosophic Logic” (https://youtu.be/WryVUv5Bq98)
  • Dr. Swati Aggarwal, faculty COE, NSIT secured third position (award prize USD 200).
  • Dr. Swati Aggarwal, faculty COE, NSIT has been acknowledged and given certificate by Neutrosophic Science International Association for distinguished achievements in Neutrosophic and has been conferred an honorary membership.

 

 

Publications in International Journal

 

Publications in National Journal

 

Publications in National Conferences

 

Publications in International Conferences

 

Books/Book Chapters

 

Publications (Click to expand)

Journals

Ansari, A. Q., Biswas, R., & Aggarwal, S. (2012). Neutrosophicclassifier: An extension of fuzzy classifier. Elsevier- AppliedSoft Computing, 13 (2013) 563-573. (Impact factor: 2.86)

 

BookChapter(accepted in a Book, under publication) SwatiAggarwal, Anurag Bishnoi, “ Neutrosophic Trust Evaluation Model in B2CE-commerce ” Springer series "HybridSoft Computing Approaches: Research and Applications".
 

Published and presented paper, “Unleashing the Potential of Webmining: Tailored E-commerce Proposals and Efficient CustomerRelationship Management” in International Conference hosted byIEEE-Bombay on 4th and 5th Feb, 2008.

Goyal, Lalit and Swati Aggarwal. “Approach in C for robotnavigation.” 7th International Conference on AdvancedComputing and Communication Technologies Nov, 2013

Azim, Shambeel and Swati Aggarwal. “Data Imputation using FuzzyC-Means and Multilayer Perceptron.” 7th InternationalConference on Advanced Computing and Communication Technologies Nov, 2013

Bishnoi, Anurag and Swati Aggarwal. “Trust Evaluation Model in B2CE-commerce Using Fuzzy Logic.” 7th International Conferenceon Advanced Computing and Communication Technologies Nov, 2013

Rathi, Venu, and Swati Aggarwal. “Mammographymass classification in breast cancer using multilayer perceptronnetwork.” 7th InternationalConference on Advanced Computing and Communication TechnologiesNov, 2013

Azim, Shambeel, and Swati Aggarwal. "Hybrid model for dataimputation: Using fuzzy c means and multi layer perceptron."Advance Computing Conference (IACC), 2014 IEEE International. IEEE, 2014. (doi:10.1109/IAdCC.2014.6779512)

Rathi, Venu, and Swati Aggarwal. "Comparing the performance of ANNwith FNN on mammography mass data set." Advance ComputingConference (IACC), 2014 IEEE International. IEEE, 2014. (doi:10.1109/IAdCC.2014.6779516)
 

Bishnoi, Anurag, and Aggarwal, Swati. "Fuzzy based trust model toevaluate and analyse trust in B2C E-Commerce." AdvanceComputing Conference (IACC), 2014 IEEE International. IEEE, 2014.(doi:10.1109/IAdCC.2014.6779515)

Goyal, Lalit, and Swati Aggarwal. "C-based algorithm to avoid staticobstacles in robot navigation." Advance Computing Conference(IACC), 2014 IEEE International. IEEE, 2014. (doi:10.1109/IAdCC.2014.6779296)
 

Ansari, A. Q., Biswas, R., & Aggarwal, S. (Poster Presentation)Neutrosophication of Fuzzy Models, IEEE Workshop On ComputationalIntelligence: Theories, Applications and Future Directions (hostedby IIT Kanpur), 14th July'13

(doi:10.1109/ICCCT.2010.5640435)

 

Ansari, A. Q., Biswas, R., & Aggarwal, S. Extension to Fuzzy LogicRepresentation: Moving Towards Neutrosophic Logic -A New LaboratoryRat Paper accepted for presentation in 34th IEEE InternationalConference on Fuzzy Systems (FUZZ-IEEE 2013) - (hosted by ISICalcutta), 8th - 10th July'13. (doi:10.1109/FUZZ-IEEE.2013.6622412)

(doi: 10.1109/ICETET.2010.26)

Aggarwal, S., Biswas, R., & Ansari, A. Q. (2010, September). Neutrosophicmodeling and control. In Computerand Communication Technology (ICCCT), 2010 International Conferenceon(pp. 718-723). IEEE.

Aggarwal, S., Biswas, R., & Ansari, A. Q. (2010, November). Fromfuzzification to neutrosophication: A better interface between logicand human reasoning. In Emerging Trends in Engineering andTechnology (ICETET), 2010 3rd International Conference on (pp.21-26). IEEE.

Garg, G., Kumar, M., Bhutani, K., & Aggarwal, S. (2015). Hybrid model for medicaldiagnosis using Neutrosophic cognitive maps with geneticalgorithms(2015). FUZZ-IEEE 2015( IEEE International conference onfuzzy systems).

(doi: 10.5120/3299-4505)

 

International Conferences

Bhutani, K., Kumar, M., Dahiya, S., Garg, G., & Aggarwal, S. (2015).Cognitive maps analysis of a social evil: Corruption. InternationalConference on Cognitive Computing and Information Processing(CCIP-2015). IEEE.

http://dx.doi.org/10.1016/j.asoc.2012.08.002

Ansari, A. Q., Biswas, R., & Aggarwal, S. (2011). Proposal forApplicability of Neutrosophic Set Theory in Medical AI.International Journal of Computer Applications, 27(5), 5-11. (Impact factor: 0.814).

 

 

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