PUBLICATIONS

Index

Dr. Preety Singh

  1. 1. Kumar Manas, Mohit Jindal, and Preety Singh, “Low Complexity Video Compression for Fixed Focus Cameras”, poster paper in 31st Data Compression Conference (DCC 2021), Salt Lake City, USA, pp. 357-357, March 23-26, 2021 MAR 2021
  2. 2. Preety Singh, “Enhancing Visual Speech Recognition with Lip Protrusion Estimation”, Hassanien, A., Olivia, D. (eds.) Advances in Soft Computing and Machine Learning in Image Processing, Studies in Computational Intelligence, vol. 730, Springer, Cham, Online ISBN 978-3-319-63754-9, pp. 519-536 2018
  3. 3. Deepank Agarwal, Chirag Bhatia, Mthun Sai, Rohit Hinduja, Preety Singh, “A Comparison Between Image Metadata and Visual Features to Classify Social Media Images,” International Conference on Advances in Image Processing (ICAIP 2017), pp. 85-89 AUG 2017
  4. 4. Saroj Bijarnia, Preety Singh, “Pyramid Binary Pattern for Age Invariant Face Verification”, 13th International Conference on Signal Image Technology and Internet-Based Systems (SITIS 2017) DEC 2017
  5. 5. Vanika Singhal and Preety Singh, “Selected Shape and Texture Features for Automatic Detection of Acute Lymphoblastic Leukemia”, Biomedical Signal and Image Processing in Patient Care, IGI Global, pp. 162-183 2017
  6. 6. Saroj Bijarnia, Preety Singh, “Age Invariant Face Recognition using Minimal Geometrical Facial Features,” Advanced Computing and Communication Technologies: Proceedings of the 9th International Conference on Advanced Computing and Communication Technologies 2015, Springer, Panipat, India, pp. 71-77 2016
  7. 7. Vanika Singhal, Preety Singh, “Texture Features for the Detection of Acute Lymphoblastic Leukemia,” International Conference on Information and Communication Technology for Sustainable Development (ICT4SD - 2015), Volume 2 Springer AISC series, Ahmedabad, India, pp.535-543 JULY 2016
  8. 8. Preety Singh, Vijay Laxmi, Manoj Singh Gaur, “Visual Speech Recognition with Selected Boundary Descriptors”, Image Feature Detectors: Foundations, Innovations, and Applications, Springer, pp. 367-383 2016
  9. 9. Vanika Singhal, Preety Singh, “Correlation based Feature Selection for Diagnosis of Acute Lymphoblastic Leukemia,” Third International Symposium on Women in Computing and Informatics (WCI-2015), ACM, Kochi, India, pp. 5-9 AUG 2015
  10. 10. 10 Ankita Sharma, Preety Singh, “A Comparative Study of Frequency Domain Based Approaches for Image Tamper Detection,” TENCON 2015, Macau, China, pp. 1-4 NOV 2015
  11. 11. Saroj Bijarnia, Preety Singh, “Age Invariant Face Recognition using Minimal Geometrical Facial Features,” Advanced Computing and Communication Technologies: Proceedings of the 9th International Conference on Advanced Computing and Communication Technologies 2015, Springer, Panipat, India, pp. 71-77 2015
  12. 12. Vanika Singhal, Preety Singh, “Local Binary Pattern for Detection of Acute Lymphoblastic Leukemia,” 20th National Conference On Communications (NCC-2014), Kanpur, India, pp. 1-5 MAR 2014
  13. 13. Sai Siddharth Kota, Raja Massand, Abhinaya Agrawal and Preety Singh, “Digital Enhancement of Indian Manuscript, Yashodhar Charitra,” The Sixth International Conference on Wireless & Mobile Networks (WiMoNe - 2014) Sydney, Australia, Volume 4, Number 12, pp. 199-207. DEC 2014
  14. 14. Preety Singh, Vijay Laxmi, Manoj Singh Gaur, "Near-Optimal Geometric Feature Selection for Visual speech Recognition", International Journal of Pattern Recognition and Artificial Intelligence, vol. 27, No. 8, 2013
  15. 15. Sahil Ahlawat, Anubhav Goel, Surabhi Prasad, Preety Singh, “Offline Signature Verification Using Local Binary Pattern and Octave Pattern,” 5th International Conference on Graphic and Image Processing,Proc. SPIE, vol. 9069, IACSIT, Hong Kong, China. OCT 2013
  16. 16. Ayush Kumar, Kritika Agrawal, Abhinash Kumar Jha, Saurabh, Preety Singh, “An Efficient Thresholding Technique For Segmentation of Phonocardiographic Signals,” 17th IEEE SPA Conference on Algorithms, Architectures, Arrangements, and Applications, Poznan, Poland, pp. 154-157 SEPT 2013
  17. 17. Preety Singh, Vijay Laxmi, Manoj Singh Gaur, “Visual Speech As Behavioral Biometric”, Advances in Biometrics for Secure Human Authentication and Recognition, Taylor and Francis (CRC Press), ISBN 978-1466-5824-22 2013
  18. 18. Preety Singh, V. Laxmi, M.S. Gaur, “Lip Peripheral Motion for Visual Surveillance,” 5th International Conference on Security of Information and Networks, ACM, Jaipur, India, pp. 173-177. NOV 2012
  19. 19. Preety Singh, V. Laxmi, M.S. Gaur, ''n-Gram Modeling of Relevant Features for Lip-Reading," International Conference on Advances in Computing, Communications and Informatics, ACM, Chennai, India, pp. 1199-1204 AUG 2012
  20. 20. Preety Singh, V. Laxmi, M.S. Gaur, “Relevant MRMR Features for Visual Speech Recognition,” International Conference on Recent Advances in Computing and Software Systems, IEEE, Chennai, India, pp.148-153 APRIL 2012
  21. 21. Preety Singh, V. Laxmi, M.S. Gaur, “Speechreading using Modified Visual Feature Vectors”, Emerging Applications of Natural Language Processing: Concepts and New Research, IGI-Global, ISBN 978-1-4666-2169-5, pp. 292-315. 2012
  22. 22. Deepika Gupta, Preety Singh, V. Laxmi, M.S. Gaur, “Boundary Descriptors for Visual Speech Recognition,” 26th International Symposium on Computer and Information Sciences, Springer, London, UK, pp. 307-313 SEPT 2011
  23. 23. Preety Singh, Deepika Gupta, V. Laxmi, M.S. Gaur, “Contribution of Oral Periphery on Visual Speech Intelligibility,” First International Conference on Advances in Computing and Communications, Springer, Kochi, India, pp. 183-190 JULY 2011
  24. 24. Preety Singh, V. Laxmi, M.S. Gaur, “Speaker Identification using Optimal Lip Biometrics,” 5th IAPR International Conference on Biometrics, IEEE, New Delhi, India, pp. 472-477 APRIL 2011
  25. 25. Deepika Gupta, Preety Singh, V. Laxmi, M.S. Gaur, “Comparison of Parametric Visual Features For Speech Recognition,” International Conference on Network Communication and Computer, IEEE, New Delhi, India, pp. 432-435 MAR 2011
  26. 26. Preety Singh, V. Laxmi, Deepika Gupta, M.S.Gaur, “Lipreading Using n-gram Feature Vector”, 3rd International Conference on Computational Intelligence in Security for Information Systems, Springer-Verlag, Leon, Spain, pp. 81-88 NOV 2010
  27. 27. Preety Singh, Ramprasad Jat, V. Laxmi, M.S. Gaur, “n-Gram Modeling for Visual Speech Recognition”, TENCON2010, IEEE Region 10 Conference, Fukuoka, Japan, pp. 2269-2274 NOV 2010
  28. 28. Preety Singh, V. Laxmi, M.S. Gaur, “Audio-Visual Speech Recognition using Hidden Markov Models,” UGC National Conference on New Advances in Core Computing and Their Challenges, Jodhpur, India MAR 2010
  29. 29. Preety Singh, “The Need of High Temperature Electronics,” National Conference on Recent Advancement in Engineering & Technology, Ajmer, India APRIL 2008
  30. 30. Preety Singh, “FPGA: Architecture and Performance Comparison,” ISTE 4th National Conference on Innovative Developments in Engineering Applications, Sangrur, India, pp.5-8 APRIL 2008

Dr. Ram Prakash Sharma

  1. 1. Ram Prakash Sharma and Somnath Dey, A comparative study of local texture descriptors for fingerprint liveness detection under real-world scenarios, Multimedia Tools an Applications 2021 IndexedIn : [Scopus,UGC CARE List] SCIE DOI : https://doi.org/10.1007/s11042-020-10136-9, SCIE, 2.313
  2. 2. Ram Prakash Sharma and Somnath Dey, Quality Assessment of Fingerprint Images using Local Texture Descriptors, 7th International Conference on Mining Intelligence and Knowledge Exploration (MIKE) 2019, Lecture Notes in Computer Science, vol 11987, Goa, India, https://doi.org/10.1007/978-3-030-66187-8_15 2020
  3. 3. Ram Prakash Sharma, Ahusoths Anshul, Ashwini Jha, and Somnath Dey, Investigating Fingerprint Quality Features for Liveness Detection, 7th International Conference on Mining Intelligence and Knowledge Exploration (MIKE) 2019, vol 11987. Goa, India, https://doi.org/10.1007/978-3-030-66187-8_28 2020
  4. 4. Ram Prakash Sharma and Somnath Dey, Two-stage quality adaptive fingerprint image enhancement using Fuzzy c-means clustering based fingerprint quality analysis, Image and Vision Computing, Vol. 83-84, pp. 1-16 2019 IndexedIn : [Scopus,UGC CARE List] SCI
  5. 5. Ram Prakash Sharma and Somnath Dey, Fingerprint image quality assessment and scoring using minutiae centered local patches, Journal of Electronic Imaging, Vol. 28, no. 1 pp. 1-14 2019 IndexedIn : [Scopus] SCIE
  6. 6. Ram Prakash Sharma and Somnath Dey, Quality Analysis of Fingerprint Images Using Local Phase Quantization, 18th International Conference on Computer Analysis of Images and Patters (CAIP), pp. 648-658, Salerno, Italy 2019
  7. 7. Ram Prakash Sharma and Somnath Dey, Local Contrast Phase Descriptor for Quality Assessment of Fingerprint Images, 8th International Conference on Pattern Recognition and Machine Intelligence (PReMI 2019), pp. 507-514, Tezpur, India 2019
  8. 8. Ram Prakash Sharma and Somnath Dey, Fingerprint liveness detection using local quality features, The Visual Computer, vol. 35, no. 10, pp. 1393-1410 2018 IndexedIn : [Scopus,UGC CARE List] SCIE
  9. 9. Ram Prakash Sharma and Somnath Dey, Fingerprint Image Quality Assessment and Scoring, 5th International Conference on Mining Intelligence and Knowledge Exploration (MIKE), pp. 156-167, Hyderabad, India, 2017 2017
  10. 10. Ram Prakash Sharma and Rajrishi Pal, Saliency based image steganography with varying base SDS and multi-objective genetic algorithm, International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 1966-1974, Kochi, India 2015

Dr. Indradeep Mastan

  1. 1. Indra Deep Mastan and Shanmuganathan Raman. DeepObjStyle: Deep Object-Based Photo Style Transfer, In IEEE Conference on Computer Vision and Pattern Recognition Workshops 21 (CVPRW 21), Computer Vision Foundation and IEEE Computer Society. JUN 2021
  2. 2. Indra Deep Mastan and Shanmuganathan Raman. DeepCFL: Deep Contextual Features Learning from a single image. In IEEE Winter Conference on Applications of Computer Vision (WACV 2021). Computer Vision Foundation and IEEE Computer Society. JAN 2021
  3. 3. Indra Deep Mastan and Shanmuganathan Raman. DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting., In IEEE Winter Conference on Applications of Computer Vision (WACV 2020), Computer Vision Foundation and IEEE Computer Society. MAR 2020
  4. 4. Indra Deep Mastan and Shanmuganathan Raman. Multi-level Encoder-Decoder Architectures for Image Restoration, In IEEE Conference on Computer Vision and Pattern Recognition Workshops 19 (CVPRW 19), Computer Vision Foundation and IEEE Computer Society. JUN 2019
  5. 5. Indra Deep Mastan and Souradyuti Paul. A New Approach to Deanonymization of Unreachable Bitcoin Nodes., In International Conference on Cryptology and Network Security (CANS 2017). NOV 2017

Dr. Rajbir Kaur

  1. 1. Rhitayu Chattopadhyay, Saumitra Pandya, Rajbir Kaur, "Implementation of Android-based Smart Speakers in a Smart Home for Dementia Patients", Proceedings of the 2022 IEEE 7th International Conference for Convergence in Technology (I2CT), Pune, India, Apr 07 - 09, 2022. APRIL 2022 IndexedIn : [Scopus]
  2. 2. 1. Raksha Nawal, Rajbir Kaur, “Abnormal Leakage of Energy in Battery-Based IoT-Devices”, Proceedings of the 10th International Conference on Security of Information and Networks, SIN 2017, Jaipur, India, 13 – 15, Oct 2017 OCT 2017
  3. 3. 1. Avani Sharma, Rajbir Kaur, “Non-cryptographic Detection Approach and Countermeasure for JFDV Attack”, Proceedings of the 7th International Conference on Security of Information and Networks, SIN 2014, Glasgow, UK, 9 – 11, Sept 2014 SEPT 2014
  4. 4. 2. Avani Sharma, Rajbir Kaur, “JFDV Attack: Influence on Workability of Mobile Ad-Hoc Networks”, 6th International Conference on Computational Intelligence, Communication Systems and Networks, Tetovo, Macedonia Republic, 27 – 29 May, 2014 MAY 2014
  5. 5. Manoj Singh Gaur, Rajbir Kaur, Lalith Suresh P., Vijay Laxmi, “Exploiting Convergence Characteristics to Tackle Collusion Attacks in OLSR ”, Wiley Jounal, Security and Communication Networks. doi:10.1002/sec.545 . 2012 APRIL 2012
  6. 6. Manoj Singh Gaur, Vijay Laxmi, Rajbir Kaur, Manish Kumar, “Detour Attack in OLSR”, Proceedings of the 4th International Conference on Security of Information and Networks, SIN 2011, Sydney, Ausralia. NOV 2011
  7. 7. Rajbir Kaur, Vijay Laxmi, Manoj Singh Gaur, “Detection of Broken Link Fraud in DSDV Routing”, 26th International Symposium on Computer and Information Sciences, London, UK. 2011. SEPT 2011
  8. 8. H. Meena Sharma, Rajbir Kaur, Manoj Singh Gaur, Vijay Laxmi, “Broken Link Fraud in DSDV Routing - Detection and Countermeasure ”, First International Conference on Advances in Computing and Communications (ACC - 2011), Kochi, Kerela, India. 2011 JULY 2011
  9. 9. Manish Kumar, Rajbir Kaur, Vijay Laxmi , Manoj Singh Gaur, “A Novel Attack Model Simulation in OLSR”, First International Conference on Advances in Computing and Communications (ACC - 2011), Kochi, Kerela, India, 2011. JULY 2011
  10. 10. Rajbir Kaur, Manoj Singh Gaur, Vijay Laxmi, “A Novel Attack Model Simulation in DSDV Routing”, The Fourth IFIP International Conference on New Technologies, Mobility and Security Program (NTMS 2011) , Paris, France FEB 2011
  11. 11. Rajbir Kaur, M.S.Gaur, Lalith Suresh and V.Laxmi, ”DoS Attacks in MANETs: Detection and Countermeasures”, Book Chapter in Cyber Crime and Cyber Forensics. IGI (2011). OCT 2011
  12. 12. H. Meena Sharma, Rajbir Kaur, M. S. Gaur, “Simulating Broken Link Fraud in DSDV”, International Confrence on Electronics, Information and Communication Systems Engineering 2011, MBM Jodhpur. MAR 2011
  13. 13. Suresh, P. Lalith Kaur, Rajbir Gaur, M. S. Laxmi, V., ”Collusion attack resistance through forced MPR switching in OLSR”, IFIP Wireless Days(WD) 2010, Venice, Italy. OCT 2010
  14. 14. Lalith Suresh P, Rajbir Kaur, M.S.Gaur, V.Laxmi, ”A Collusion Attack Detection Method for OLSR - Based MANETs Employing Scruple Packets”, ACM 3rd International Conference on Security of Information and Networks, SIN 2010, Taganrog, Russia. SEPT 2010
  15. 15. 10. Rajbir Kaur, Lalith Suresh P, M.S.Gaur, V.Laxmi, ”Attacks in Destination Sequence Distance Vector (DSDV) Routing Protocol”, UGC National Conference on New Advances In Core Computing and Their Challenges (NACCTC2010), M.B.M Engineering College, JNVU, Jodhpur. MAR 2010

Dr. Aloke Dutta

  1. 1. A. Datta, S. Ghosh and A. Ghosh, “Hyperspectral Remote Sensing Images and Supervised Feature Extraction”, in the book “Cloud Computing for Geospatial Big Data Analytic. Studies in Big Data”, by publisher “Springer Cham”, vol 49, pp. 265-289, 2019, ISBN 978-3-030- 03358-3 and ISBN 978-3-030-03359-0 (e-book) (DOI: https://doi.org/10.1007/978-3- 030-03359-0_13) 2019
  2. 2. A. Datta, S. Ghosh and A. Ghosh, “PCA, Kernel PCA and Dimensionality Reduction in Hyperspectral Images”, in the book “Advances in Principal Component Analysis”, by publisher “Springer Singapore Pte Ltd”, pp. 19-46, 2018, ISBN 978-981-10-6703-7 and ISBN 978-981-10-6704-4 (e-book) 2018
  3. 3. D. I. Alam, S. R. N. Anal and A. Datta, “Facial Expression Recognition using 2DPCA on Segmented Images”, Proceedings of IEEE International Conference on Advanced Computational and Communication Paradigm (ICACCP-2017), (as a book chapter in Advanced Computational and Communication Paradigms. Advances in Intelligent Systems and Computing, Vol. 706) pp. 289-297, 2018 (Springer, Singapore) 2018
  4. 4. A. Datta and A. Chakrovarty, “Hyperspectral Image Segmentation using Multi-dimensional Histogram over Principal Components Images”, Proceedings of 4th International Conference on Computing Communication and Automation(ICACCCN 2018), Delhi, India, pp. 857--862, October, 2018 (IEEE Xplore) 2018
  5. 5. A. Datta, S. Ghosh and A. Ghosh, "Unsupervised Band Extraction for Hyperspectral Images using Clustering and kernel Principal Component Analysis ", International Journal of Remote Sensing, Vol. 38, No. 3, pp. 850-873, 2017 (DOI: 10.1080/01431161.2016.1271470) (Taylor and Francis) 2017
  6. 6. A. Datta, S. Ghosh and A. Ghosh, " Supervised Band Extraction of Hyperspectral Images using Partitioned Maximum Margin Criterion", IEEE Geoscience and Remote Sensing Letters, Vol. 14, No. 1, pp. 82-86, 2017 (DOI: 10.1109/LGRS.2016.2628078) 2017
  7. 7. C. Lalengmawia, A. Bhattacharya and A Datta, “Image Stenography using Advanced Encryption Standard for implantation of Audio/Video Data”, Proceedings of Fifth International Conference on Recent Trends in Information Technology (ICRTIT 2016), Chennai, India, pp.1-5, 2016 2016
  8. 8. A. Kumar and A. Datta, “Adaptive Edge Discriminated Median Filter To Remove Impulse Noise”, Proceedings of IEEE International Conference on Computing, Communication and Automation (ICCCA 2016), Delhi, India, pp. 1409-1413, 2016 2016
  9. 9. A. Datta, S. Ghosh and A. Ghosh, "Combination of Clustering and Ranking Techniques for Unsupervised Band Selection of Hyperspectral Images", IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, Vol. 8, No. 6, pp. 2814-2823, 2015(DOI: 10.1109/JSTARS.2015.2428276) 2015
  10. 10. A. Datta, S. Ghosh and A. Ghosh, " Band Elimination of Hyperspectral Imagery using Partitioned Band Image Correlation and Capacitory Discrimination", International Journal of Remote Sensing, Vol. 35, No. 2, pp. 554-577, 2014 (DOI: 10.1080/01431161.2013.871392) (Taylor and Francis) 2014
  11. 11. A. Datta, S. Ghosh and A. Ghosh, "Maximum Margin Criterion based Band Extraction of Hyperspectral Imagery", Proceedings of Fourth International Conference on Emerging Applications of Information Technology, Kolkata, India, pp.300-304, 2014 2014
  12. 12. A. Datta, S. Ghosh and A. Ghosh, " Band Elimination of Hyperspectral Imagery using Correlation of Partitioned Band Image", Proceedings of International Conference on Advances in Computing, Communications and Informatics, Mysore, India, pp. 412- 417 2013 2013
  13. 13. A. Ghosh, A. Datta and S. Ghosh, "Self-adaptive Differential Evolution for Feature Selection in Hyperspectral Image Data", Applied Soft Computing, Vol. 13, Issue 4, pp. 1969-1977, 2013(DOI: 10.1016/j.asoc.2012.11.042) (Elsevier) 2013
  14. 14. A. Datta, S. Ghosh and A. Ghosh, “Clustering based Band Selection for Hyperspectral Images”, Proceedings of International Conference on Communication, Devices and Intelligent Systems, Kolkata, India, pp.105-108, 2012 2012
  15. 15. A. Datta, S. Ghosh and A. Ghosh, "Wrapper based Feature Selection in Hyperspectral Image Data using Self-adaptive Differential Evolution", Proceedings of International Conference on Image Information Processing, Shimla, India, pp.1-6, 2011 2011

Dr. Anugrah Jain

  1. 1. Anugrah Jain, Vijay Laxmi, Meenakshi Tripathi, Manoj Singh Gaur and Rimpy Bishnoi, “TRACK: An Algorithm for Fault-Tolerant, Dynamic and Scalable 2D Mesh Network-on-Chip Routing Reconfiguration”, Integration The VLSI Journal 72: 92-110 (Elsevier). 2020
  2. 2. Anugrah Jain, Vijay Laxmi, Meenakshi Tripathi, Manoj Singh Gaur and Rimpy Bishnoi, “S2DIO: An Extended Scalable 2D Mesh Network-on-Chip Routing Reconfiguration for Efficient Bypass of Link Failures”, The Journal of Supercomputing 75(10): 6855-6881 (Springer). 2019
  3. 3. Anugrah Jain, Vijay Laxmi, Meenakshi Tripathi, M.S.Gaur and Rimpy Bishnoi, “Performance-Enhanced d^2-LBDR for 2D Mesh Network-on-Chip”, In Kaushik B., Dasgupta S., Singh V. (eds) VLSI Design and Test. VDAT 2017. Communications in Computer and Information Science., pages 313-323, vol 711. Springer, Singapore. 2017
  4. 4. Anugrah Jain and Sushil Chandra Jain, “Fault Tolerant Synthesis of Reversible Circuits”, LAP Lambert Academic Publishing, ISBN 978-3-659-67914-8, pages 1-104, 2015. 2015
  5. 5. Anugrah Jain, Nitin Purohit and Sushil Chandra Jain. “An extended approach for online testing of reversible circuits”, IOSR Journal of Computer Engineering) 1(16): 1-11 (2014). 2014
  6. 6. Anugrah Jain and Sushil Chandra Jain. “Towards Implementation of Fault Tolerant Reversible Circuits”, In 2013 1 st International Conference on Emerging Trends and Applications in Computer Science., pages 86-91, IEEE. 2013