Department of Computer Science & Engineering The LNM Institute of Information Technology


  1. Kanellopoulos, D. and Sharma, V. K. (2020) Survey on Power-Aware Optimization Solutions for MANETs. Electronics, vol. 9, no. 7, pp. 1-61. (Science Citation Index Expanded (SCI-E) Journal) [IMPACT FACTOR: 2.412] JULY 2020
  2. Varun Kumar Sharma: A-CAFDSP: An Adaptive-Congestion Aware Fibonacci Sequence based Data Scheduling Policy. Computer Communications, vol. 158, pp. 141-165
  3. Arpan Gupta, Sakthi Balan, “Viewpoint Constrained and Unconstrained Cricket Stroke Localization from Untrimmed Videos“, Image and Vision Computing Journal (accepted)
  4. A, Caffrey, K. Pentieva, H. McNulty, P. Gaur, J. Talcott, ....G. Prasad, “Effect of folic acid supplementation during pregnancy on brain health of the child at 11 years: The ASSTT Offspring trial”, Proceedings of the Nutrition Society, 79(OCE2), E507, 2020.
  5. Nitin Kumar, Suyash Awate, “Semi-supervised Robust Mixture Models in RKHS for Abnormality Detection in Medical Images”, IEEE Transactions on Image Processing, 2020 (accepted)
  6. Nitin Kumar, Ajit V. Rajwade, Sharat Chandran, Suyash P. Awate "Semi-supervised learning and robust modeling with kernel generalized-Gaussian for abnormality detection in medical images." IEEE International Conference on Image Processing (ICIP).    SEPT  2019
  7. Preksha Pandey, Jatin Keswani, Subrat Dash, Comparative Analysis of various Techniques used to obtain a suitable summary of the Document, FICR-TEAS International Conference on Rising Threats in Expert Applications and Solutions, 2020
  8. Jayaprakash Kar,  Khirasagar Naik and Tamer Mostafa Abdelkader,   An Efficient and Lightweight Deniably Authenticated Encryption Scheme for e-mail Security, IEEE Access, vol. - 7, pp 184207 - 184220, 2019.
  9. Nisha Shekhawat, Aakanksha Chauhan, and Sakthi Balan Muthiah, Algorithmic Privacy and Gender Bias Issues in Google Ad Settings. In Proceedings of the 10th ACM Conference on Web Science (WebSci '19). ACM, New York, NY, USA, 281-285, 2019.
  10. P. Gaur, K.McCreadie, R.B. Pachori, H. Wang, and G. Prasad, Tangent Space based Transfer Learning Classification Model for Two-Class Motor Imagery based Brain-Computer Interface, International Journal of Neural Systems, World Scientific (Impact factor:6.4), Year 2019.
  11. P. Gaur, R.B. Pachori, H. Wang, and G. Prasad, An Automatic Subject Specific Intrinsic Mode Function Selection for Enhancing Two-Class EEG based Motor Imagery-Brain Computer Interface, IEEE Sensors Journal (Impact factor:3.07),Year 2019., DOI: 10.1109/JSEN.2019.2912790.
  12. Arpan Gupta, M. Sakthi Balan, Temporal Cricket Stroke Localization from Untrimmed Highlight Videos, Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) from Dec 19 to 21, 2018.(To Appear)
  13. Arpan Gupta, Ashish Karel, Sakthi Balan M.. Discovering cricket stroke classes in trimmed telecast videos. 4th International Conference on Computer Vision and Image Processing, 2019
  14. Singh, P., Dwivedi, P., & Kant, V. A hybrid method based on neural network and improved environmental adaptation method using Controlled Gaussian Mutation with real parameter for short-term load forecasting. Energy, Elsevier, 2019
  15. Agrawal, S., Jhanwar, A., Goswami, K. & Kant, V. Facial gender recognition using Gaber DCT feature extraction, Journal of Statistics and Management Systems, Taylor & Francis (Accepted), 2019
  16. Jethanandani, M, Tiwari, S. & Kant, V. Cyberbullying detection in Hindi-English code mixed language using sentiment classification, in Proc. of third International Conference on Advances in Computing and Data Sciences, CCIS, Springer (accepted), 2019
  17. Sudheer Kumar Sharma, Sanjeev Kumar, Karmeshu, Suppression of Multimodality in Inter-Spike Interval Distribution: Role of External Damped Oscillatory Input, IEEE Transactions on NanoBioscience, Vol. 17, No. 3, 2018.
  18. Arpan Gupta, M. Sakthi Balan, Action Recognition from Optical Flow Visualizations, Proceedings of International Conference on Computer Vision & Image Processing, ed. Chaudhuri, Bidyut B. and Kankanhalli, Mohan S and Raman, Balasubramanian, pp. 397-408, 2018.
  19. 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 I, pp. 519-536, 2018
  20. Kant, V., Jhalani, T., & Dwivedi, P. Enhanced multi-criteria recommender system based on fuzzy Bayesian approach. Multimedia Tools and Applications, 1-19, Springer, 2018
  21. Dwivedi, P., Kant, V., & Bharadwaj, K. K. Learning path recommendation based on modified variable length genetic algorithm. Education and Information Technologies, 23(2), 819-836, Springer, 2018
  22. Sahu, A. K., Dwivedi, P., & Kant, V. Tags and item features as a bridge for cross-domain recommender systems. Procedia Computer Science, 125, 624-631, Elsevier, 2018
  23. Goswami, A., Dwivedi, P., & Kant, V. Trust-Enhanced Multi-criteria Recommender System. In Soft Computing: Theories and Applications, pp. 439-448, Springer, Singapore, 2018.
  24. Kshitiz Verma, e-Courts Project: A Giant Leap by Indian Judiciary, In Journal of Open Access to Law, 2018, Vol 6, Issue (1), 2018
  25. Kshitiz Verma, (2018). Analyzing HC-NJDG data to improve access to justice in High Courts in India. In Law Via the Internet Conference, 2018, Florence, Italy, 2018
  26. Kshitiz Verma Modernization of Indian Judiciary with a Goal to Reduce Backlog of Court Cases, Law Via the Internet Conference, 2017, Rutgers, USA, 2018.
  27. Shweta Bhandari, Rekha Panihar, Smita Naval, Vijay Laxmi, Akka Zemmari, Manoj Singh Gaur, SWORD: Semantic AWare AndrOid MalwaRe Detector, Journal of Information Security and Applications  42, 46-56, 2018.
  28. P. Gaur, R.B. Pachori, H. Wang, and G. Prasad, A multi-class EEG-based BCI classification using multivariate empirical mode decomposition based filtering and Riemannian geometry, Expert Systems with Applications, Elsevier (Impact factor:4.292), Volume 95, 1 April 2018, Pages 201-211,
  29. Pramod Gaur, Harry Jarrett, Katie Moore, Catherine Hughes, Mary Ward, Fernando Maestu, Noelia Serrano Martnez, Girijesh Prasad, Helene McNulty, Brain function response using magnetoencephalography (MEG) to a 2 year randomised trial with B-vitamins: a pilot study, The 21st International Conference on Biomagnetism (BIOMAG 2018), August 26-August 30, 2018, Philadelphia USA.
  30. Pramod Gaur, Jose Miguel Sanchez Bornot, Alwani Liyana Ahmad, Girijesh Prasad, KongFatt Wong-Lin, Stephen Todd, Peter Passmore, Bernadette McGuinness, A feasibility MEG study with multiple cognitive tasks on cognitively impaired patients, Alzheimers Research UK 2018 (ARUK 2018), London 2018 UK.
  31. Nirmal Kumar Sivaraman, M. Sakthi Balan, Pushkal Agarwal and Lokesh Todwal, On Social Synchrony in Online Social Media, Proceedings of ACM Conference on Web Science 2017, Pages 417-418, Troy, New York, USA, June 25 - 28, 2017.
  32. Puneet Kumar Jain and Anil Kumar Tiwari, An adaptive thresholding method for the wavelet based denoising of phonocardiogram signal, Biomedical Signal Processing and Control, Vol 38, pp. 388-399, 2017.
  33. Puneet Kumar Jain and Anil Kumar Tiwari, A robust segmentation algorithm for phonocardiogram signal using wavelet transform with tunable Q-factor, Journal of Medical and Biological Engineering, Vol. 38(3), pp.396-410, 2017.
  34. 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.
  35. 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), Jaipur, India, pp. 218-221, 2017.
  36. 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), Bangkok, Thailand, pp. 85-89, 2017
  37. Jayaprakash Kar Cryptanalysis and Improvement of an Identity-based Proxy Multi-signature scheme, 11th International Conference of Network and Systems Security (NSS 2017), Helsenki, Finland, LNCS Springer, pp-291-300, 2017.
  38. Jayaprakash Kar A Study of Key Management Protocols for Multicast Encryption, International Journal of Innovative, Computing, Information and Control, Vol.13, Issue-2, pp-559-574, 2017.
  39. Raksha Nawal and Rajbir Kaur, Abnormal leakage of energy in battery-based IoT-devices, In Proceedings of the 10th International Conference on Security of Information and Networks (SIN '17). ACM, New York, NY, USA, 165-170, 2017
  40. Vorugunti, C. S., Mishra, B., Amin, R., Badoni, R. P., Sarvabhatla, M., & Mishra, D. Improving security of lightweight authentication technique for heterogeneous wireless sensor networks. Wireless Personal Communications, 95(3), 3141-3166, 2017
  41. Shukla, A., Vikash, D., Mishra, B., & Gera, P. Permission Recommender System for Android. SIN '17, Proceedings of the 10th International Conference on Security of Information and Networks, Pages 311-314, 2017
  42. Chug, S., Kant, V., & Jadon, M. Trust distrust enhanced recommendations using an effective similarity measure. In International Conference on Mining Intelligence and Knowledge Exploration pp. 64-72. Springer, Cham, 2017.
  43. Jain, M., Saini, S., & Kant, V. A hybrid approach to emotion recognition system using multi-discriminant analysis & k-nearest neighbour. In 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI) pp. 2251-2256. IEEE, 2017.
  44. Majumder, G. S., Dwivedi, P., & Kant, V. Matrix Factorization and Regression-Based Approach for Multi-Criteria Recommender System. In pp. 103-110. Springer, Cham, 2017.
  45. Choudhary, P., Kant, V., & Dwivedi, P. A Particle Swarm Optimization Approach to Multi Criteria Recommender System Utilizing Effective Similarity Measures. In Proceedings of the 9th International Conference on Machine Learning and Computing, pp. 81-85, ACM, 2017.
  46. Choudhary, P., Kant, V., & Dwivedi, P. Handling natural noise in multi criteria recommender system utilizing effective similarity measure and particle swarm optimization. Procedia computer science, 115, 853-862, Elsevier, 2017
  47. Wasid, M., Ali, R., & Kant, V. Particle swarm optimisation-based contextual recommender systems. International Journal of Swarm Intelligence, 3(2-3), 170-191, Inderscience, 2017
  48. Shweta Bhandari, Wafa Ben Jaballah, Vineeta Jain, Vijay Laxmi, Akka Zemmari, Manoj Singh Gaur, Mohamed Mosbah, and Mauro Conti, Android inter-app communication threats and detection techniques, Computers & Security, vol. 70, 392-421, 2017.
  49. Shweta Bhandari, Frederic Herbreteau, Vijay Laxmi, Akka Zemmari, Partha S. Roop, and Manoj Singh Gaur, SneakLeak+: Large-Scale Klepto Apps Analysis, Future Generations Computer Systems. doi: 10.1016/j.future.2018.05.047, 2017
  50. 49.Shweta Bhandari, Frederic Herbreteau, Vijay Laxmi, Akka Zemmari, Partha S. Roop, and Manoj Singh Gaur, SneakLeak: Detecting Multipartite Leakage Paths in Android Apps, In Trustcom/BigDataSE/ICESS, Sydney Australia IEEE, pp. 285-292, 2017.
  51. 50.Shweta Bhandari, Vineeta Jain, Vijay Laxmi, Manoj Singh Gaur and Mohamed Mosbah. SniffDroid: Detection of Inter-App Privacy Leaks in Android, In Trustcom/BigDataSE/ICESS, Sydney Australia IEEE, pp. 331-338, 2017.
  52. Shweta Bhandari, Frederic Herbreteau, Vijay Laxmi, Akka Zemmari, Manoj Singh Gaur, and Partha S. Roop. POSTER: Detecting Inter-App Information Leakage Paths, in Proceedings of the ACM Asia Conference on Computer and Communications Security (ASIACCS), pp 908-910, Abu Dhabi, UAE, 2017.
  53. Nitin Kumar, Ajit V. Rajwade, Sharat Chandran, Suyash P. Awate "Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection", MICCAI, Quebec City, Quebec, Canada (acceptance rate ~32%)      2017
  54. Nitin Kumar, Ajit V. Rajwade, Sharat Chandran, Suyash P. Awate "Kernel Generalized Gaussian and Robust Statistical Learning for Abnormality Detection in Medical Images", ICIP, Beijing, China.      2017