Dr. Anjali Gautam

Assistant Professor – Medical & Allied Sciences

Dr. Anjali Gautam

Interest Area(s)

  • Recommender Systems
  • Database Management System
  • Theory of Computation Information
  • Big Data Analytics on Hadoop and Spark
  • Machine Learning algorithms
  • Data Science
Dr. Anjali Gautam completed her Ph.D. in Computer Science from University of Delhi, Delhi in the year 2018, post graduated in MCA from Guru Gobind Singh Indraprastha University, Delhi and graduated in B.Sc. (Hons.) Computer Science from the University of Delhi. Currently she is working in the capacity of Assistant Professor in the School of Engineering & Technology at K.R Mangalam University, Gurugram.

Dr. Gautam is a seasoned educationist who holds a first class division in graduation and a first class with distinction in her post graduation. She is UGC-JRF qualified in Computer Science and Applications. She has a rich teaching & research experience of more than 10 years in the reputed universities such as University of Delhi and GSSIPU, Delhi. To her credit are 8 research publications of which 2 are in peer-reviewed refereed international journals (Impact Factor / SCI journals), 2 publications as book chapters and 4 publications in refereed international conferences. She has 100+ citations to the published work.

Her areas of interest & research include Data Science, Machine Learning algorithms, Recommender Systems, Information retrieval, Big Data Analytics on Hadoop and Spark.

  • Ph.D., Department of Computer Science, University of Delhi, India, October 2018.
  • UGC NET-JRF in Computer Science and Applications, December 2012.
  • Master of Computer Applications (MCA), Guru Gobind Singh Indraprastha University, Delhi, India, 2011.
  • B.Sc.(Hons.)Computer Science, University of Delhi, India, 2008.
  • July 2022-November 2022 : Assistant Professor, Department of Computer Science, Delhi College of Arts and Commerce, University of Delhi, Delhi, India.
  • September 2021 – May 2022 : Assistant Professor, Department of Computer Science, Delhi College of Arts and Commerce, University of Delhi, Delhi, India.
  • December 2020 – July 2021: Assistant Professor, Department of Computer Science, Delhi College of Arts and Commerce, University of Delhi, Delhi, India.
  • March 2018 – April 2020: Assistant Professor, Department of Computer Science, Aryabhatta College, University of Delhi, Delhi, India.
  • January 2016 – December 2017, Senior Research Fellow (SRF), Department of Computer Science, University of Delhi, Delhi, India.
  • January 2014 –January 2016, Junior Research Fellow (JRF), Department of Computer Science, University of Delhi, Delhi, India.
  • September 2013 – December 2013, Assistant Professor, Department of Computer Science, Ram Lal Anand College, University of Delhi, Delhi, India.
  • January 2012 – September 2013, Assistant Professor, Institute Of Information Technology and Management, Guru Gobind Singh Indraprastha University, Delhi, India.
  • July 2011-January 2012, Software Engineer, Newgen Software Technologies Ltd.
  • Recommender Systems, Information retrieval, Big Data Analytics on Hadoop and Spark, Machine Learning algorithms & Data Science.
  • Awarded UGC Junior Research fellowship for the year 2014-2016.
  • Awarded UGC Senior Research fellowship for the year 2016-2019.
  • Passed MCA with 1st Division from Guru Gobind Singh Indraprastha University.
  • Passed B.Sc. (Hons.) Computer Science with 1st Division from University of Delhi.
  • Passed 12th with distinction in all subjects.
  • Passed 10th with distinction in all subjects.
  • Awarded Scholar Badge for Excellence in Academics, 2002-2003.
  • Presented paper titled “Weighted Bipartite Graph Model for Recommender System Using Entropy Based Similarity Measure” in Second International Conference on Applied Soft computing and Communication Networks (ACN’17) held at Manipal University, Manipal, Karnataka, India during September 13-16, 2017.
  • Presented paper titled “Developing Content-Boosted Recommender System Using Hadoop Map Reduce” in ISTA’16 co-affiliated with First International Conference on Applied Soft computing and Communication Networks (ACN’16) held at The LNM Institute of Information Technology, Jaipur, Rajasthan, India during 21-24 September 2016.
  • Presented paper titled “Content Boosted Context- Aware Recommendations Using Tensor Factorization” in 5th International Conference on Advances in Computing, Communications and Informatics (ICACCI’16) held at The LNM Institute of Information Technology, Jaipur, Rajasthan, India during 21-24 September 2016.
  • Presented paper titled “MR-VSM: Map Reduce based Vector Space Model for User Profiling- An Empirical study on News Data” in 4th International Conference on Advances in Computing, Communications and Informatics (ICACCI’15) held at SCMS School of Engineering & Technology, Kochi, Kerela, India during 10-13 August 2015.
  • Presented Paper titled “Using Novelty Score of Unseen Items to Handle Popularity Bias in Recommender Systems” held at Sri Jayachamarajendra College of Engineering (SJCE), Mysuru, India during 27-29 November, 2014. 7. Participated in National Conference on Emerging Trends in Information Technology, 2012 held on 17th March 2012 at Institute of Information Technology and Management, New Delhi, India.
  • Participated in the workshop on Network Analytics and Support Vector Machines & Applications on 10th April 2015 held at Department of Computer Science, University of Delhi, Delhi, India.
  • Participated in the International Conference on Big Data Analytics (BDA-2014) held at Indian Institute of Technology New Delhi, India during 20-23 December, 2014.
  • Participated in National Seminar on Dynamics and Developmental Changes in Business Practices: Innovations, Globalization and Policies held on 25th Feb 2012 at Institute of Information Technology and Management, New Delhi, India.
  • Participated in National Conference on Demographic Dividend of India: Myth or Reality held on 21st January 2012 at IITMJP, Delhi, India.
Scopus ID: 56435635100,
Google Scholar Profile Link: https://scholar.google.co.in/citations?user=wc_tqtgAAAAJ&hl=en
Journal Publications (Published/Accepted) 
  • Anjali Gautam and Punam Bedi. (2019). FS-CARS: Fast and Scalable Context-Aware News Recommender System Using Tensor Factorization, International Journal of Computational Science and Engineering 18, no. 2 (2019): 118-129. (Journal No. in UGC list – 2764, Scopus Indexed).
  • Anjali Gautam, Punam Bedi. (2017). ISTA 2016, Developing Content-Based Recommender System Using Hadoop Map Reduce, Journal of Intelligent and Fuzzy Systems, 32(4):2997-3008, IOS Press, Netherlands (Impact Factor: 1.851, UGC Reference List No. – 30259).
Book Chapters 
  • Punam Bedi, Anjali Gautam et.al (2018) Weighted Bipartite Graph Model for Recommender System Using Entropy Based Similarity Measure. In: Thampi S., Mitra S., Mukhopadhyay J., Li KC., James A., Berretti S. (eds) Intelligent Systems Technologies and Applications. ISTA 2017. Advances in Intelligent Systems and Computing, vol 683. Springer, Cham. ISBN-978-3-319-68384-3 (P), 978-3-319-68385-0 (O). (Journal No. in UGC list – 49365, Scopus Indexed).
  • Anjali Gautam et.al (2015) Use of NoSQL Database for Handling Semi Structured Data: An Empirical Study of News RSS Feeds. In: Shetty N., Prasad N., Nalini N. (eds) Emerging Research in Computing, Information, Communication and Applications. Springer, New Delhi. ISSN-978-81-322-2549-2 (P), 978-81-322-2550-8(O).
Conference Publications 
  • Anjali Gautam, et.al (2016). CBCARS: Content Boosted Context-Aware Recommendations Using Tensor Factorization, In proceedings ICACCI 2016 – International Conference on Advances in Computing, Communications and Informatics , Jaipur, India, Sept. 21-24, 2016: 86-92. USA: IEEE Xplore. Print ISBN: 978-1-5090-2030-0, Online ISBN: 978-1-5090-2029-4. (Scopus Indexed).
  • Anjali Gautam, Punam Bedi. (2015). MR-VSM: Map Reduce based Vector Space Model for User Profiling – An Empirical Study on News Data, In proceedings ICACCI 2015 – Fourth International Conference on Advances in Computing, Communications and Informatics, Kochi, Kerala, India, August 10 – 13 , 2015: 355 – 360. USA: IEEE Xplore. Print ISBN: 978-1-4799-8791-7, Online ISBN: 978-1-4799-8792-4. (Scopus Indexed).
  • Punam Bedi, Anjali Gautam, et. al (2014). Using Novelty Score of Unseen items to Handle Popularity Bias in Recommender Systems. In proceedings IC3I – International Conference on Contemporary Computing and Informatics, November 27 – 29, 2014, Mysore, India: 934-939. USA: IEEE Xplore. ISBN: 978-1-4799-6629-5. (Scopus Indexed).
  • Punam Bedi, Vinita Jindal and Anjali Gautam. (2014). Beginning with Big Data Simplified, In proceedings ICDMIC 2014 – International Conference on Data Mining and Intelligent Computing, September 5-6, 2014, Delhi India : 1-7. USA: IEEE Xplore. ISBN: 978-1-4799-4675-4. (Scopus Indexed).