CSE

Prof. Seeja . K. R

Qualifications :	Ph.D (Computer Science) (Jamia Hamdard), M.E(Computer Science & Engineering)(Madurai Kamaraj University) B.E(Computer Engineering (M.S.University,Thirunelveli)
Designation :	Professor & Dean(Examination Affairs)
Teaching Interests :	Data Structures, Machine Learning. Deep Learning, Design & Analysis of Algorithms
Office Address :	Room No. 205, Electrical Block
Email :	krseeja@gmail.com, seeja@igdtuw.ac.in
Research Areas :	Machine Learning, Algorithm Design, Biometrics, Health Informatics
Bio-Sketch:	Dr. Seeja K.R. is Professor in Department of Computer Science and Engineering, Indira Gandhi Delhi Technical University for Women (IGDTUW), Delhi. She did PhD in Computer Science on the topic “ Data Mining for DNA Data Analysis” in 2010 from Jamia Hamdard University, New Delhi, M.E. (Computer Science and Enginering) degree in 2003 from Madurai Kamaraj University, Tamilnadu and B.E. (Computer Engineering) degree in 1995 from M.S.University, Thirunelveli. She had a teaching experience of more than 25 years in various Engineering colleges and Universities in Kerala and Delhi. Her research interests include Machine Learning, Algorithm Design, Biometrics and Health Informatics. She has published more than 50 research papers in various international journals and conference proceedings. She was the Principal Investigator of a major project titled “Solving Travelling Salesman with Sparse Graphs” funded by University Grants Commission. She is a life member of CSI and ISTE. She received best paper award for the paper titled “A novel Feature Selection Technique for SAGE Data Classification” presented in International Conference on Intelligent Computing 2013 held at Nanning, China during July 28-31,2013. She also received the 11th Innovative Education Leadership award for “Best Professor in Computer Science & Engineering” organized by DNA and Stars of the Industry on 16th February 2019 at Mumbai.
Website :	https://vidwan.inflibnet.ac.in/profile/291619

Punam Kumari, Seeja K.R.. Periocular biometrics: A survey, Journal of King Saud University-Computer and Information Sciences.2019.

Shivani Jain,Seeja K.R, Rajni Jindal. Identification of New Parameters for Ontology Based Semantic Similarity Measures , EAI Endorsed Transactions on Scalable Information Systems. pp:1-14,2019.

K.R.Seeja. HybridHAM: A Novel Hybrid Heuristic for Finding Hamiltonian Cycle, Journal of Optimization. Vol. 2018, pp:1-10,2018.

Durgesh Nandini, K R Seeja. A novel path planning algorithm for visually impaired people, Journal of King Saud University-Computer and Information Sciences. Vol. 31, pp:385-391,2017.

Somya Upadhyay, Chetana Sharma, Pravishti Sharma, Prachi Bharadwaj,K.R.Seeja. Privacy preserving data mining with 3-D rotationtransformation, Journal of King Saud University-Computer and Information Sciences. Vol. 30, pp:524-530,2016.

Masoumeh Zareapoor, K R Seeja. Feature Extraction or Feature Selection for Text Classification: A Case Study on Phishing Email Detection, International Journal of Information Engineering and Electronic Business. Vol. 2, pp:60-65,2015.

K.R. Seeja. Feature selection based on closed frequent itemset mining: A case study on SAGE data classification, Neurocomputing. Vol. 151, pp:1027-1032,2015.

K R Seeja, Masoumeh Zareapoor. FraudMiner: A Novel Credit Card Fraud Detection Model Based on Frequent Itemset Mining, The Scientific World Journal. Vol. 2014, pp:1-10,2014.

Meenakshi Vishnoi, Seeja K.R.. Privacy Preserving Data Mining using AttributeEncryption and Data Perturbation, INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY. Vol. 6, pp:370-378,2013.

Masoumeh Zareapoor, Seeja K.R, Afshar M Alam . Analysis on Credit Card Fraud Detection Techniques: Based on Certain Design Criteria, International Journal of Computer Applications. Vol. 52, pp:35-42,2012.

Seeja K.R., Shweta. Microarray Data Classification Using Support Vector Machine , International Journal of Biometrics and Bioinformatics. Vol. 5, pp:10-15,2011.

Seeja K.R.. AISMOTIF-An Artificial Immune System for DNA Motif Discovery, International Journal of Computer Science Issues. Vol. 8, pp:143-149,2011.

K. R. SEEJA, M. A. ALAM , S. K. JAIN. AN ASSOCIATION RULE MINING APPROACH FOR CO-REGULATED SIGNATURE GENES IDENTIFICATION IN CANCER, Journal of Circuits, Systems, and Computers. Vol. 18, pp:1409-1423,2009.

Mansi Yadav, Suruchi Jain, KR Seeja International Conference on Innovative Computing and Communications . Prediction of air quality using time series data mining , In International Conference on Innovative Computing and Communications , pages 13-20. Springer, 2019. (New Delhi)

Sweta Swain, K. R. Seeja. TWEESENT: A Web Application on Sentiment Analysis , In International Conference on Smart Innovations in Communication and Computational Sciences (ICSICCS-2018), pages 393-400. Springer, 2019. (Indore, MP)

Pallavi Pandey, Seeja K.R.. Subject-Independent Emotion Detection from EEG Signals Using Deep Neural Network, In International Conference on Innovative Computing and Communications, pages 41-46. Springer, 2018. (New Delhi)

Pallavi Pandey, Seeja K.R.. Emotional State Recognition with EEG Signals Using Subject Independent Approach, In ACM-Women in Research 2018, pages 117-124. Springer, 2018. (Indore, MP)

Srishti Grover,Saloni Bhartia, Akshama, Abhilasha Yadav, Seeja K.R.. Predicting Severity Of Parkinsonâ€™s Disease Using Deep Learning , In International Conference on Computational Intelligence and Data Science (ICCIDS 2018), pages 1788-1794. Elsevier, 2018. (New Delhi)

Manisha Bisht , K. R. Seeja. Air Pollution Prediction Using Extreme Learning Machine: A Case Study on Delhi (India) , In International Conference on Smart System, Innovations and Computing (SSIC 2017) , pages 181-189. Springer, 2017. (Jaipur, India)

Pallavi Pandey, Seeja K.R.. Forensic Writer Identification with Projection Profile Representation of Graphemes, In International Conference on Smart System, Innovations and Computing (SSIC 2017), pages 129-136. springer, 2017. (Jaipur, India)

Sweta Swain, K. R. Seeja. ICICCT 2017: Information, Communication and Computing Technology pp 25-34 | Cite as Analysis of Epidemic Outbreak in Delhi Using Social Media Data Authors Authors and affiliations Sweta SwainEmail authorK. R. Seeja, In International Conference on Information, Communication and Computing Technology(ICICCT 2017), pages 25-34. Springer, 2017. (New Delhi, India)

K. R. Seeja, Jyoti Rana, Srishti Priya, Latika Ahuja. A Novel Edge Based Image Steganography Technique, In International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016), pages 66-75. Springer, 2016. (Vellore, India)