indu-kashyap

Dr. Indu Kashyap Professor, CSE, FET Ph.D Coordinator, Engineering Programs, MRIIRS 1. Brief Profile Dr.Indu Kashyap has 16 years of teaching, administration, and research experience. Currently, she is a Professor with Manav Rachna International Institute of Research and Studies. She has done her Ph.D. from Chaudhary Charan Singh University, Meerut. She has to her credit more than 60 publications in reputed journals and conferences including Elsevier, Springer, and Taylor & Francis. She has guided 15 M.Tech students in their research work. Her research areas include Wireless Networks, Machine Learning, Data Analytics, and Recommender Systems. Strong understanding technology trends in ICT tools like LMS with distinction of instituting best practices in higher education and Software tools like WEKA, PACKET TRACER, MS-Project, Rational Rose, Rational Robot, MATLAB.She has published 3 patents and is a versatile person.

She is coordinating Ph.D. Course for Engineering Courses. She has handled the responsibilities of Programme Coordinator- M.Tech CSE prior, where she was instrumental in developing and aligning academic schemes and courses. She has chaired sessions at IEEE conferences. She has delivered talks in AICTE Sponsored One-week Short Term Training Programs. She is a member of ISTE and IEEE. She has actively organized and participated in many AICTE FDPs, STTPs, workshops, conferences, and seminars. She holds Certifications from SWAYAM NPTEL and Coursera. She is a technical program committee member INDIACom- 2016(IEEE Conference).

She is a reviewer of various international conferences (IEEE, Springer, Elsevier, etc.) including INDIACom-2016, ICACCI16, and IWICP-2015, etc.

2. Education Degree B.Tech M.Tech Ph.D

Discipline Computer Science and Engineering Computer Science and Engineering Computer Science and Engineering

Institution Jamia Hamdard,Delhi.

Year 2004

Banasthali University,Jaipur,Rajasthan.

Chaudhary Charan Singh University,Meerut,UP.

2006 2012

3. Academic Experience Institution MRIIRS

Rank Professor

MRIU

Associate professor Assistant professor Lecturer

MRIU CITM

Title Ph.D Coordinator, FET, MRIIRS NA NA NA

Dates Held 1st June’18-Till Date

FT/PT FT

FT 1 July’ 13-31st May’18 FT 1 Jan’09 -31 June’13 15 June’06 - 31 FT December, 2009

4. Certifications or Professional Registrations  NPTEL Certification Course on “Data Science for Engineers” completed during Jan-March 2019.  One week FDP on Open Source Platforms for Internet of Things and Applications' from 30th July-3rd Aug, 2018.  One week NITTR FDP on Data Science using R, ICT mode Short Term Course, from 26-112018 to 30-11-2018 5. Membership in Professional Organizations  Member of International Computer Science and Engineering Society(ICSES) 6. Publications and Presentations (Recent)  Kalra, V., Kashyap, I. and Kaur, H., (2022). Generation of domain-specific vocabulary set and classification of documents: weight-inclusion approach. International Journal of Information Technology, pp.1-11.  Kalra, V., Kashyap, I. and Kaur, H.,(2022) Improving document classification using domainspecific vocabulary: hybridization of deep learning approach with TFIDF. International Journal of Information Technology, pp.1-7.  Nair, P., Kashyap, I.(2020). Classification of medical image data using k nearest neighbor and finding the optimal k value,International Journal of Scientific and Technology Research”, ISSN 2277-8616, VOLUME 9, ISSUE 04, APRIL 2020,pp221-226. .(Scopus Indexed)  Sagar, P., Gupta, P. and Kashyap, I., (2020.) Analysis of Prediction Techniques for Temporal Data Based on Nonlinear Regression Model. In International Conference on Innovative Computing and Communications (pp. 731-740). Springer, Singapore.(Scopus Indexed)  Sagar, P., Gupta, P., Kashyap, I.(2019). Prediction of humidity depending on temperature with low error rate using regression model “,International Journal of Engineering and Advanced Technology, ISSN: 2249 – 8958, Volume-8 Issue-4, pp1129-1134.(Scopus Indexed)  Nair, P., Kashyap, I.(2019). Optimization of kNN classifier using hybrid preprocessing model for handling imbalanced data”, International Journal of Engineering Research and Technology.

Volume-12 Issue-5, pp- 697-704 (Scopus Indexed)  Jain, R., Kashyap, I.(2019). Performance Evaluation of OLSR-MD Routing Protocol for MANETS”, Advances in Intelligent Systems and Computing.AISC, volume 924 ,Pp 101-108 (Scopus Indexed)  Jain, R., Kashyap, I.(2019). An QoS Aware Link Defined OLSR (LD-OLSR) Routing Protocol for MANETS”, Wireless Personal Communications, Springer Science Business Media, LLC, part of Springer Nature 2019,https://doi.org/10.1007/s11277- 019-06494-9(WOS), Print ISSN: 09296212,Electronic ISSN: 1572-834X (Scopus Indexed)  Sagar, P., Gupta, P., Kashyap, I.(2019).Prediction technique for time series data sets using regression models, Communications in Computer and Information Science ,Book Series-CCIS, Vol-955,pp-480-488 (Scopus Indexed) 7. Patents  Enhanced Fingerprint Authentication System by Gabor Filter and Classification Dictionaries Learning, Publication Date: 06/11/2020, Application No.202041047364 A

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A DATA MINING SYSTEM FOR DEMONSTRATION AND DETERMINATION OF MIXING VARIOUS CHEMICAL COMPOSITION Publication Date: 09/04/2021, Application No- 202111015819.

AN IMAGE PROCESSING DEVICE AND SYSTEM FOR SCREENING OF MEDICAL EQUIPMENT, Application Number-202111017848, Application Ref Number-202111017848, Filing Date- 23/04/2021

8. Recent Professional Activities  Participated in one day National Workshop entitled “Stress Management and Emotional Intelligence in Teaching- Learning Environment”, organized by and held at Guru Angad Dev Teaching Learning centre of MHRD, SGTB Khalsa College, University of Delhi, 29th June’19.  Organising member at ComITCon 2019, Computer Science and Engineering Department at Manav Rachna International Institute of Research and Studies.  Organized a workshop called GNOME for Students in Computer Science and Engineering Department on 6th April 2016.