Publications

Book

  • Soham S. Chakraborty, Rajeev Kumar, and PP Chakrabarti (2012) Static Analysis and Optimization of Object-Oriented Systems – Concepts and Approaches. Lap Lambert Academic Publishing GmbH, Germany. ISBN 978-3-8484-1353-9.

Edited Books (Conf. Proceedings)

  • Sanjay Kumar Jena, Rajeev Kumar, Ashok Kumar Turuk, and Manoranjan Dash (2011) Proc. Int. Conf. Communication, Computing, and Security (ICCCS-11), Rourkela, India, Feb. 12-14, 2011. ACM, New York. ISBN: 978-1-4503-0464-1

  • Sanjay Ranka, Srinivas Aluru, Rajkumar Buyya, Yeh-Ching Chung, Sumeet Dua, Ananth Grama, Sandeep K. S. Gupta, Rajeev Kumar, Vir V. Phoha (2009) Proc. Contemporary Computing – 2nd Int. Conf., IC3 2009, Noida, India, August 17-19, 2009. Springer Inc. ISBN:978-3-642-03546-3

  • Ajit Pal, Ajay Kshemkalyani, Rajeev Kumar, and Arobinda Gupta (2005) Distributed Computing - Proc. Int. Workshop Distributed Computing (IWDC). LNCS vol. 3741, Dec. 2005. ISBN 3-540-309-59-4. Springer.

Edited Book Articles

  • Sonal Tuteja and Rajeev Kumar (2020) An Architecture for Data Unification in E-commerce using Graph. In: Kapur P. et al. (eds) Strategic System Assurance and Business Analytics. Asset Analytics (Performance and Safety Management), chapter 30, pages 407-417. Springer, Singapore. doi: 10.1007/978-981-15-3647-2_30

  • Akanksha Mukhriya and Rajeev Kumar (2018) Exploring Ensembles for Unsupervised Outlier Detection: An Empirical Analysis. In: Chakraverty S., Goel A., Misra S. (eds) Towards Extensible and Adaptable Methods in Computing, pages 225 – 237. Springer. doi: 10.1007/978-981-13-2348-5_17

  • Rajeev Kumar and PK Singh (2007) Pareto Evolutionary Algorithm Hybridized with Local Search for Biobjective TSP. In Hybrid Evolutionary Systems: Chap 6, 2007. Studies in Computational Intelligence Series, Springer.

  • Rajeev Kumar (2004) On Machine Learning with Multiobjective Genetic Optimization. In Carlos A. Coello Coello, and Gary B. Lamont (Eds.), Applications of Multiobjective Evolutionary Algorithms, Chap. 17: 393 - 425, December 2004. ISBN 981-256-106-4. World Scientific.

Published Tutorials

  • Rajeev Kumar (2009) A Tutorial on "Evolutionary Multiobjective Combinatorial Optimization (EMCO)" -- A Specialized Tutorial. In Proc. Genetic and Evolutionary Computation Conference (GECCO-2009), Montréal, pp. 3413-3436, 09 July 2009. ACM.

  • Rajeev Kumar (2008) A Tutorial on "Evolutionary Multiobjective Combinatorial Optimization." A Specialized Tutorial. In Proc. Genetic and Evolutionary Computing Conference (GECCO), Atlanta, pp. 2805 - 2828, 13 July 2008. ACM.

  • Rajeev Kumar (2007) A Tutorial on "Evolutionary Multiobjective Combinatorial Optimization." A Specialized Tutorial. In Proc. Genetic and Evolutionary Computing Conference (GECCO), London, pp. 3366 - 3390, 08 July 2007. ACM.

Journal Research Publications: Peer Reviewed Articles and Newsletters

  • Akanksha Mukhriya and Rajeev Kumar (2025) Iterative target updation based boosting ensembles for outlier detection. Pattern Recognition. Pattern Recognition Journal. Elsevier.

  • Akhilesh Rawat and Rajeev Kumar (2025) 3D U-Net-Norm architecture for improving generalization of BraTS images. Multimedia Tools & Applications. Springer. Online Aug. 02, 2024. https://doi.org/10.1007/s11042-024-19955-6

  • Farheen and Rajeev Kumar (2025) Sliding window-based anomaly detection. Procedia Computer Science. Elsevier. In Press.

  • Gouranga Duari and Rajeev Kumar (2024) Decomposition for Outlier Detection using Space Partitioning. InfoCom J. Computer Science: 23(1) June 2024.

  • Farheen and Rajeev Kumar (2024) Composition of feature selection for time-Series prediction with deep learning. Procedia Computer Science 235(C): 1477 - 1488. https://doi.org/10.1016/j.procs.2024.04.139. Elsevier. May 2024.

  • Akhilesh Rawat and Rajeev Kumar (2024) A hybrid DL architecture for improved generalizability with self-adaptive Jaya optimizer for diabetic retinopathy. Procedia Computer Science 235 (C): 2090 – 2100. https://doi.org/10.1016/j.procs.2024.04.198. Elsevier. May 2024.

  • Gouranga Duari and Rajeev Kumar (2024) Attribute subspace partitioning with neural regression for contextual outlier detection. Procedia Computer Science 235(C): 1892 – 1902. https://doi.org/10.1016/j.procs.2024.04.180. Elsevier. May 2024.

  • Bhupendra Kumar and Rajeev Kumar (2024) Generalizing Clustering Inferences with ML Augmentation of Ordinal Survey Data. Computer Science Journal 25(1): 47 – 77. Jan. 2024. https://doi.org/10.7494/csci.2024.25.1.5685

  • Om Prakash and Rajeev Kumar (2024) A unified generalization enabled ML architecture for manipulated multi-modal social media. Multimedia Tools & Applications (23 pages). Springer. https://doi.org/10.1007/s11042-023-16198-9 (Published Online Aug. 08, 2023). March 2024.

  • Akhilesh Rawat and Rajeev Kumar (2023) Deep-CodecG*: A generalized deep autoencoder for robust segmentation of left atrium in cardiac MRIs. InfoCom Journal of Computer Science 22(2): December 2023.

  • Akanksha Mukhriya and Rajeev Kumar (2023) Combination fairness with scores in outlier detection ensembles. Information Sciences 645: 119337 (17 pages), Oct. 2023. Elsevier. https://doi.org/10.1016/j.ins.2023.119337

  • Gargi Mishra and Rajeev Kumar (2023) An individual fairness based outlier detection ensemble. Pattern Recognition Letters 171: 76–83, July 2023. Elsevier. https://doi.org/10.1016/j.patrec.2023.05.010

  • Sonal and Rajeev Kumar (2023) Query driven graph models in E-commerce. Innovations in Systems & Software Engineering 19, 177–195, June 2023. Springer. https://doi.org/10.1007/s11334-021-00421-7

  • Om Prakash and Rajeev Kumar (2023) Multi-modal social networks with IoT-enabled wearable devices for healthcare. InfoCom Journal of Computer Science 22(1): June 2023.

  • Bhupendra Kumar and Rajeev Kumar (2023) Unification of numerical and ordinal survey data for clustering-based inferencing. InfoCom Journal of Computer Science 22(1): June 2023.

  • Priti Kumari and Rajeev Kumar (2023) Clustering scientometrics of computer science journals for subarea decomposition. Journal of Scientometrics Research 12(2): 383-394, May – June 2023. https://doi.org/10.5530/jscires.12.2.034

  • Sonam Chhikara and Rajeev Kumar (2023) Information theoretic steganalysis of processed image LSB Steganography. Multimedia Tools & Applications 82: 13595 – 13615, April 2023.  Springer. https://doi.org/10.1007/s11042-022-13931-8

  • Priti Kumari and Rajeev Kumar (2023) Collaborative authorship patterns in computer science publications. Annals of Information & Library Studies 70(1): 22-32, March 2023. CSIR India. https://doi.org/10.56042/alis.v70i1.70536

  • Neeraj Pathak and Rajeev Kumar (2023) Entropy guided evolutionary search for solving Sudoku. Progress in Artificial Intelligence 12: 61–76, March 2023. Springer. https://doi.org/10.1007/s13748-023-00297-7

  • Roopam Sadh and Rajeev Kumar (2023) Transformation and classification of ordinal survey data. Computer Science Journal 24(2): 211-230, March 2023. AGH Univ Sc. Tech, Poland. https://doi.org/10.7494/csci.2023.24.2.4871

  • Roopam Sadh and Rajeev Kumar (2022) Dimensional inadequacy of rankings: Exploring substantial and meta-quality dimensions for HEIs. Academia 26: 25-48. Higher Edu. Policy (HEP) Net, Europe. https://doi.org/10.26220/aca.3948

  • Mahesh Shirole and Rajeev Kumar (2022). Concurrent behavioral coverage criteria for sequence diagrams. Innovations in Systems & Software Engineering 19: 157–176, June 2023. Springer. https://doi.org/10.1007/s11334-021-00413-7

  • Sonal and Rajeev Kumar (2022) A unification of heterogeneous data sources into a graph model in e-commerce. Data Science & Engineering 7(1): 57-70, March 2022. Springer. https://doi.org/10.1007/s41019-021-00174-0.

  • Sonal and Rajeev Kumar (2021) Graph Model based recommendation architecture for e-commerce applications. Infocomp Journal Computer Science 20(2), Dec. 2021.

  • Mahesh Shirole and Rajeev Kumar (2021). Constrained Permutation-Based Test Scenario Generation from Concurrent Activity Diagrams. Innovations in Systems & Software Engineering 17: 343–353, Dec. 2021. Springer. https://doi.org/10.1007/s11334-021-00389-4

  • Sonam Chhikara and Rajeev Kumar (2021) Image steganalysis with entropy hybridized with chaotic grasshopper optimizer. Multimedia Tools and Applications 80: 31865-31885, Sep. 2021. Springer. https://doi.org/10.1007/s11042-021-11118-1.

  • Akanksha Mukhriya and Rajeev Kumar (2021) Building outlier detection ensembles by selective parameterization of heterogeneous methods. Pattern Recognition Letters 146C: 126 – 133, June 2021. https://doi.org/10.1016/j.patrec.2021.03.008

  • Roopam Sadh and Rajeev Kumar (2021) Directional Pattern-based Clustering for Quantitative Survey Data: Method and Application. Survey Research Methods 15(2): 169-185, 2021. European Research Survey Association. https://doi.org/10.18148/srm/2021.v15i2.7773

  • Mahesh Shirole and Rajeev Kumar (2021) Concurrency coverage criteria for activity diagrams. IET Software 15(1): 43-54, Feb. 2021. John Wiley (OAJ). https://doi.org/ 10.1049/sfw2.12009

  • Roopam Sadh and Rajeev Kumar (2020) Clustering of quantitative survey data based on marking patterns. Infocomp Journal Computer Science 19(2): 109-119, Dec. 2020.

  • Neeraj Pathak and Rajeev Kumar (2020) Hybrid evolutionary algorithm for travelling thief problem. Infocomp Journal Computer Science 19(2): 132-140, Dec. 2020.

  • Sonam Chhikara and Rajeev Kumar (2020) MI-LFGOA: Multi-island levy-flight based grasshopper optimization for spatial image steganalysis. Multimedia Tools and Applications 79(39): 29723-29750, Oct. 2020. Springer. https://doi.org/10.1007/s11042-020-09328-0

  • Sonam Chhikara and Rajeev Kumar (2020) An Information theoretic image steganalysis for LSB steganography. Acta Cybernetica 24(4): 593-612, Oct. 2020. https://doi.org/10.14232/actacyb.279174.

  • Priti Kumari and Rajeev Kumar (2020) Scientometric analysis of computer science publications in journals and conferences with publication patterns. Journal of Scientometric Research 9(1): 54-62, Jan- Apr 2020. https://doi.org/10.5530/jscires.9.1.6.

  • Soma Saha, Rajeev Kumar and Gyan Baboo (2013) Characterization of graph properties for improved Pareto fronts using heuristics and E.A. for bi-objective graph coloring problem. Applied Soft Computing 13(5): 2812 – 2822, May 2013. Elsevier.

  • Pravanjan Choudhury, PP Chakrabarti and Rajeev Kumar (2012) Online Scheduling of Dynamic Task Graphs with Communication and Contention for Multiprocessors. IEEE Trans. Parallel and Distributed Systems 23(1): 126 – 133, Jan. 2012.

  • Rajeev Kumar and Nilanjan Banerjee (2011) Multiobjective network topology design. Applied Soft Computing 11 (8): 5120 - 5128, Dec. 2011. Elsevier.

  • Rajeev Kumar and PK Singh (2010) Assessing solution quality of biobjective 0-1 Knapsack problem using evolutionary and heuristic algorithms. Applied Soft Computing 10(3): 711 - 718, June 2010. Elsevier.

  • Dipankar Das, PP Chakrabarti, and Rajeev Kumar (2010) Thermal analysis of multiprocessor SoC applications by simulation and verification. ACM Trans. Design Automation of Electronic Systems (TODAES) 15(2), Article 15, Pages 52, Feb. 2010. ACM.

  • Sandip Aine, PP Chakrabarti and Rajeev Kumar (2010) Heuristic search under contract. Computational Intelligence 26 (4); 386-419. Blackwell.

  • Dipankar Das, PP Chakrabarti, and Rajeev Kumar (2009) Scenario based timing verification of multiprocessor embedded applications. ACM Trans. Design Automation of Electronic Systems (TODAES) 14(3), Article 37, Pages 58, May 2009. ACM.

  • Sandip Aine, Rajeev Kumar, and PP Chakrabarti (2009) Adaptive parameter control of evolutionary algorithms to improve quality-time trade-off. Applied Soft Computing 9 (2): 527-540, Mar. 2009. Elsevier.

  • S.K. Panda, Arnab Roy, PP Chakrabarti and Rajeev Kumar (2008) Simulation Based Verification using Temporally Attributed Boolean Logic. ACM Trans. Design Automation of Electronic Systems (TODAES) 13(4), Article 63, Pages 52, Sep. 2008. ACM Press.

  • Rajeev Kumar and Dipankar Das (2008) Code compression for performance enhancement of variable length embedded processors. ACM Trans. Embedded Computing Systems 7(3), Article 35, Pages 36, Apr 2008. ACM Press.

  • Vasant Patil and Rajeev Kumar (2008) A fast inverse motion compensation algorithm for DCT-domain video transcoder. IEEE Trans. Circuits and Systems for Video Technology 18(3): 394 – 399, Mar. 2008. IEEE Press.

  • Pravanjan Choudhury, Rajeev Kumar and PP Chakrabarti (2008) Conditional and unpredicted task scheduling with selective duplication for embedded multiprocessors under memory and time constraints. IEEE Trans. Parallel and Distributed Systems 19 (7): 967 - 980, July 2008. IEEE CS Press.

  • DP Mohapatra, M. Sahu, Rajeev Kumar, and R. Mall (2008) Dynamic slicing of aspect-oriented programs. Informatica 32 (3): 261 - 274, Oct. 2008. Slovene Informatika.

  • Dipankar Das, PP Chakrabarti, and Rajeev Kumar (2007) Functional verification of task partitioning for multiprocessor embedded systems. ACM Trans. Design Automation of Electronic Systems 12(4), Article 44, Pages 53, Sep 2007. ACM Press.

  • Sandip Aine, PP Chakrabarti, and Rajeev Kumar (2007) An automated meta-level control framework for optimizing the quality-time trade-off of VLSI algorithms. IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems 26(11): 1992 – 2008, Nov 2007. IEEE Press.

  • Rajeev Kumar (2007) A statistical approach to robust video temporal indexing and segmentation. Int. Journal Wavelets, Multiresolution and Information Processing 5 (5): 769 – 783, Sep 2007. World Scientific.

  • Rajeev Kumar and Vikram Agrawal (2007) Multiple dispatch in reflective runtime environment. Computer Languages, Systems & Structures 33 (2): 60 – 78, 2007. Elsevier.

  • DP Mohapatra, R. Mall, and Rajeev Kumar (2007) A parallel algorithm for dynamic slicing of distributed Java programs in non-DSM systems. Int. J. Information & Communication Technology, 1(1): 38 – 49, 2007.

  • DP Mohapatra, Rajeev Kumar, R. Mall, DS Kumar, and M. Bhasin (2006) Distributed dynamic slicing of Java programs. Journal Systems & Software 79 (12): 1661 – 1678, Dec 2006. Elsevier.

  • Rajeev Kumar and Vasant Patil (2006) An efficient motion vector composition scheme for arbitrary frame down-sampling video transcoder. IEEE Trans. Circuits and Systems for Video Technology 16 (9): 1164 – 1171, Sep 2006. IEEE Press.

  • Vasant Patil, Rajeev Kumar and Jayanta Mukherjee (2006) A fast arbitrary factor video re-sizing algorithm. IEEE Trans. Circuits and Systems for Video Technology 16 (9): 1148 - 1152, Sep. 2006. IEEE Press.

  • Arnab Sarkar, PP Chakrabarti, and Rajeev Kumar (2006) Frame based proportional round-robin. IEEE Trans. Computers 55 (9): 1121 – 1129, Sep. 2006. IEEE CS Press.

  • Ashok Turuk and Rajeev Kumar (2006) A flexible contention resolution scheme for QoS provisioning in optical burst switching networks. Computer Communications 29 (12): 2361 – 2376, Aug 2006. Elsevier.

  • Rajeev Kumar and Nilanjan Banerjee (2006) Analysis of a multiobjective evolutionary algorithm on the 0-1 knapsack problem. Theoretical Computer Science 358(1), 104 - 120, July 2006. Elsevier.

  • DP Mohapatra, R. Mall, and Rajeev Kumar (2006) An overview of slicing techniques for object-oriented programs. Informatica 30 (2): 253 – 277, 2006. Slovene Informatika.

  • Ashok Turuk and Rajeev Kumar (2005) QoS provisioning in WDM ring networks with tunable transceivers. Journal of High-Speed Networks 14 (4): 317 – 339, Nov 2005. IOS Press.

  • DP Mohapatra, R. Mall, and Rajeev Kumar (2005) Computing dynamic slices of concurrent object-oriented programs. Information & Software Technology 47 (12): 805 – 817, Sep 2005. Elsevier.

  • Ashok Turuk and Rajeev Kumar (2005) Delay-on-Demand: A signaling protocol to reduce blocking probability in optical burst switching networks. Photonic Network Communications 10 (2): 253 – 266, Sep 2005. Kluwer/Springer.

  • Sujoy Ghosh, Rajeev Kumar, Nilanjan Banerjee, and Raja Datta (2005) Multihop virtual topology design in WDM optical networks for self-similar traffic. Photonic Network Communications 10 (2): 199 – 214, Sep 2005. Kluwer/Springer.

  • Rajeev Kumar and Vishnu Makkapati (2005) Encoding of multispectral and hyperspectral image data using wavelet transform and gain shape vector quantization. Image & Vision Computing 23 (8): 721 – 729, Aug 2005. Elsevier.

  • Arnab Roy, SK Panda, Rajeev Kumar, and PP Chakrabarti (2005) A framework for systematic validation and debugging of pipelined simulators. ACM Trans. Design Automation of Electronic Systems 10 (3): 462 – 491, July 2005. ACM Press.

  • Raja Datta, Ashok Turuk, Sujoy Ghose, Rajeev Kumar, and IS Gupta (2005) New schemes for connection establishment in GMPLS environment for WDM networks. Int. Journal Wireless & Optical Communications 2005. World Scientific.

  • Ashok Turuk and Rajeev Kumar (2004) A token based distributed algorithm to support QoS in a WDM ring network. Optics Communications 240 (1-3): 99 - 121, Oct 2004. Elsevier.

  • Ashok Turuk and Rajeev Kumar (2004) A scalable and collision-free MAC protocol for all optical ring networks. Computer Communications 27 (15): 1453 – 63, Sep 2004. Elsevier.

  • Ashok Kumar Turuk, Rajeev Kumar and R. Badrinath (2004) A token based distributed algorithm for medium access in an optical ring network. Optics Communications 231(1-6): 199 – 212, Feb 2004. Elsevier.

  • Rajeev Kumar and Peter Rockett (2002) Improved sampling of the Pareto front in multiobjective genetic optimisation by steady state evolution: a Pareto Converging Genetic Algorithm. Evolutionary Computation 10 (3): 283 – 314, July 2002. MIT Press.

  • N. Chakraborty, Rajeev Kumar, and Dilip Jain (2001) A study of continuous casting mold using a Pareto converging genetic algorithm. Applied Mathematical Modelling 25 (1): 287 – 297, Jan 2001. Elsevier.

  • Rajeev Kumar (2000) ANCHOR – a connectionist architecture for partitioning feature spaces and hierarchical nesting of neural nets. Int. J. Artificial Intelligence Tools 9 (3): 397 – 416, Sep 2000. World Scientific.

  • Rajeev Kumar and P.I. Rockett (1998) Multiobjective genetic algorithm partitioning for hierarchical learning of high dimensional pattern spaces: a Learning follows Decomposition strategy. IEEE Trans. Neural Networks (Special issue on Hybrid Intelligent Models) 9(5): 822 – 830, Sep 1998. IEEE Press.

  • Rajeev Kumar and P.I. Rockett (1998) Decomposition of high dimensional pattern spaces for hierarchical classification. Kybernetika, 34(4): 435 – 442, Sep 1998. Academy Sciences, Czech Republic.

  • Rajeev Kumar and P.I. Rockett (1997) Triplet geometric representation: a novel scale, translation and rotation invariant feature representation based on geometric constraints for recognition of 2D object features. Image & Vision Computing 15(3): 235 – 249, Mar 1997. Elsevier.

Journal Research Publications: Newsletters & Others

  • Neha Kumari and Rajeev Kumar (2023) Finding recursive generics in Java source code using machine learning. Int. Journal Engineering Trends & Technology 71 (8): 76-84, Aug. 2023. Seventh Sense Res. Group. https://doi.org/10.14445/22315381/IJETT-V71I8P207 (with APC)

  • Neha Kumari and Rajeev Kumar (2019) Evolution of generic programming in OOPLs. ACM SIGSOFT Software Engineering Notes 44(1): 35 – 43, Jan. 2019. ACM. https://doi.org/10.1145/3310013.3310033

  • Mahesh Shirole and Rajeev Kumar (2013) UML behavioral model based test case generation: A survey. ACM SIGSOFT Software Engineering Notes 38(4): July 2013. ACM.

  • Mahesh Shirole and Rajeev Kumar (2012) Testing for concurrency in UML diagrams. ACM SIGSOFT Software Engineering Notes 37(5), Sep. 2012. ACM Press.

  • Surender Kumar and Rajeev Kumar (2012) Precise Static Analysis for Generic Programs in Object Oriented Languages. ACM SIGSOFT Software Engineering Notes 37(3): May 2012. ACM Press.

  • S. Harikrishnan and Rajeev Kumar (2012) Space efficient non-constant time multi-method dispatch in object-oriented systems. ACM SIGSOFT Software Engineering Notes 37(2): Mar. 2012. ACM Press.

  • Soma Saha and Rajeev Kumar (2011) Bounded-diameter MST instances with hybridization of multi-objective E.A. J. Computer Applications 18(4): 17 – 25, 2011. (with APC)

  • Rajeev Kumar and Soham S. Chakraborty (2007) Precise static type analysis for object oriented programs. ACM SIGPLAN Notices 42 (2): 17 – 27, Feb 2007. ACM Press.

  • Rajeev Kumar, Vikram Agrawal, and Anil Mangolia (2005) Realization of multimethods in single dispatch object-oriented languages. ACM SIGPLAN Notices 40 (5): 18 – 27, May 2005. ACM Press.

  • Rajeev Kumar, Amit Gupta, BS Pankaj, Mrinmoy Ghosh, and PP Chakrabarti (2005) Post-compilation optimization for multiple gains with pattern matching. ACM SIGPLAN Notices 40 (12): 14 – 23, Dec 2005. ACM Press.

  • Rajeev Kumar (2001) A neural network compiler system for hierarchical organization. ACM SIGPLAN Notices 36 (2): 26 – 36, Feb 2001. ACM Press.

  • Mayur Naik and Rajeev Kumar (2000) Efficient message dispatch in object-oriented systems. ACM SIGPLAN Notices 35(3): 49 – 58, Mar 2000. ACM Press.

  • Mayur Naik and Rajeev Kumar (1999) Object oriented symbol management in syntax directed compiler systems. ACM SIGPLAN Notices 34(6): 58 – 67, June 1999. ACM Press.

  • Rajeev Kumar and SD Mehta (1994) An open vision system for cartographic informatics. Indian Cartographer Journal, vol XIII. Indian Cartographic Association. 1994.

  • Rajeev Kumar and GK Hariharan (1993) EXVIS: a knowledge-based system for understanding of multispectral image data. Newsletter of Computer Society of India, pp. 57-58, 1993.

  • Rajeev Kumar and SD Mehta (1989). Image understanding techniques for onboard cartography. Indian Cartographer Journal, vol. IX(II): 536-546. Indian Cartographic Association. 1989.

Conference Research Publications: Peer Reviewed International

  • Farheen and Rajee Kumar (2024) Composition of feature selection for time-Series prediction with deep learning. 2nd Int. Conf. Machine Learning & Data Engineering (ICMLDE), Nov. 2023. Elsevier.

  • Akhilesh Rawat and Rajeev Kumar (2024) A hybrid DL architecture for improved generalizability with self-adaptive Jaya optimizer for diabetic retinopathy. 2nd Int. Conf. Machine Learning & Data Engineering (ICMLDE), Nov. 2023. Elsevier.

  • Gouranga Duari and Rajeev Kumar (2023) Attribute subspace partitioning with neural regression for contextual outlier detection. 2nd Int. Conf. Machine Learning & Data Engineering (ICMLDE), Nov. 2023. Elsevier.

  • Law Kumar and Rajeev Kumar (2023) Feature-based anomaly detection in static social networks. In Proc. Artificial-Business Analytics, Quantum and Machine Learning: Trends, Perspectives, and Prospects (Com-IT-Con). July 2023. Springer.

  • Biraja Mishra and Rajeev Kumar (2023) Empirical analysis of variable thresholding for autoencoder anomaly detector in ECG. In Proc. 7th Int. Conf. Info. Comm. Tech. for Intelligent Systems (ICTIS). April 2023. Springer.

  • Law Kumar and Rajeev Kumar (2023) Community detection algorithms in social networks: an empirical evaluation. In Proc. 3rd Int. Conf. Information Technology. March 2023. Springer.

  • Sai Teja Tangudu and Rajeev Kumar (2023) Analysis of cost-sensitive algorithms for degree of imbalancing. In Proc. Int. Conf. Computational Intelligence in Data Science (ICCIDS). Feb. 2023. Springer.

  • Gargi Mishra and Rajeev Kumar (2023) Group fairness in outlier detection ensembles. In Proc. Int. Conf. Computer Vision & Robotics (CVR), May 2022. Algorithms for Intelligent Systems, 493-502. Springer. https://doi.org/10.1007/978-981-19-7892-0_39 {Best Paper Award in Emerging Technology}

  • Anish Sharma and Rajeev Kumar (2023) Imbalanced learning of regular grammar for DFA extraction from LSTM architecture. In Proc. 11th Int. Conf. Soft Computing for Problem Solving (SocProS). May 2022. Lecture Notes in Networks and Systems (LNNS), vol 547: 85 - 95. Springer Singapore. https://doi.org/10.1007/978-981-19-6525-8_8

  • Junaciya K, Akhilesh Rawat, and Rajeev Kumar (2023) Performance assessment of normalization in CNN with retinal image segmentation. In Proc. 11th Int. Conf. Soft Computing for Problem Solving (SocProS), May 2022. Lecture Notes in Networks and Systems (LNNS), vol 547: 159 - 170. Springer Singapore. https://doi.org/10.1007/978-981-19-6525-8_13

  • Pooja Singh and Rajeev Kumar (2023) Assessing imbalanced datasets in binary classifiers. In Proc. 11th Int. Conf. Soft Computing for Problem Solving (SocProS), May 2022. Lecture Notes in Networks and Systems (LNNS), vol 547: 291 - 303. Springer Singapore. https://doi.org/10.1007/978-981-19-6525-8_23

  • Trishita Mukherjee and Rajeev Kumar (2023) Localized community-based node anomalies in complex networks. In Proc. 11th Int. Conf. Soft Computing for Problem Solving (SocProS), May 2022. Lecture Notes in Networks and Systems (LNNS), vol 547: 679 - 689. Springer Singapore. https://doi.org/10.1007/978-981-19-6525-8_52

  • Akhilesh Rawat and Rajeev Kumar (2023) Assessing layer normalization with BraTS MRI data in a CNN. In proc. Int. Conf. Computational Intelligence in Data Science (ICCIDS), vol. IFIP AICT 654, pp. 124-135, March 2022, Springer Nature, Switzerland. https://doi.org/10.1007/978-3-031-16364-7_10

  • Farheen and Rajeev Kumar (2023) Correlated features in air pollution prediction. In Proc. Int. Conf. Artificial Intelligence: Advances and Applications (ICAIAA 2022). Algorithms for Intelligent Systems. Pp 527-536. Springer, Singapore. https://doi.org/10.1007/978-981-19-7041-2_44

  • Om Prakash and Rajeev Kumar (2023) Fake account detection in social networks with supervised learning. In Proc. Int. Conf. IoT, Intelligent Computing & Security, 2021 (IICS). Lecture Notes in Electrical Engineering (LNEE) 982: 287 – 295. Springer. https://doi.org/10.1007/978-981-19-8136-4_24

  • Bhupendra Kumar and Rajeev Kumar (2022) Difference-attribute based clustering for ordinal survey data. In Proc. 9th Int. Conf. Signal Processing & Integrated Networks (SPIN). Aug. 2022. Springer.

  • Farheen and Rajeev Kumar (2022) Parametrization of sequential neural networks for predicting air pollution. 3rd Proc. Int. Conf. Data Intelligence & Cognitive Informatics (ICDICI). July 2022. Springer.

  • Bhupendra Kumar and Rajeev Kumar (2022) Entropy based clustering for subspace pattern discovery in ordinal survey data. In Proc. 10th Int. Conf. Frontiers of Intelligent Computing: Theory and Applications (FICTA). June 2022. Springer.

  • Gournga Duari and Rajeev Kumar (2022) Hierarchical learning of outliers. In Proc. 5th Int. Conf. Communications & Cyber-Physical Engineering (ICCCE). April 2022. Springer.

  • Gournga Duari and Rajeev Kumar (2022) Clustering for global and local outliers. In Proc. 4th Int. Conf. Machine Intelligence and Signal Processing (MISP). March 2022. Springer.

  • Om Prakash and Rajeev Kumar (2022) Fake news detection in social networks using attention mechanism. In Proc. Int. Conf. Cognitive & Intelligent Computing (ICCIC). Springer Nature. https://doi.org/10.1007/978-981-19-2358-6_42

  • Mahesh Shirole, Amit Suthar, and Rajeev Kumar (2022) Generation of improved test cases from UML state diagram using genetic algorithm. Test of Time Award presentation in 15th Innovations in Software Engineering Conf. (ISEC) as the most impactful paper from amongst the published paper 10 (+-1) years ago in ISECs, Feb. 26, 2022. ACM iSoft/SigSoft.

  • Priti Kumari and Rajeev Kumar (2021) Scientometrics and publications: a comparative study of ranking of multisource databases. In Proc. Int. Conf. Data Science, Machine Learning & Applications (ICDSMLA). Springer

  • Neha Kumari and Rajeev Kumar (2021) Type Inference in Java: Characteristics and Limitations. In Proc. ICCMLA 2020: Cybernetics, Cognition, & Machine Learning Applications, Algorithms for Intelligent Systems Series: 131-138. Springer.

  • Akanksha Mukhriya and Rajeev Kumar (2020) Homogeneous pools to heterogeneous ensembles for unsupervised outlier detection. In: Proc. Information, Communication & Computing Technology (ICICCT). Communications in Computer & Information Science, vol. 1170, 2020. Springer.

  • Neha Kumari and Rajeev Kumar (2020) Profiling JVM for A.I. applications using deep learning libraries. In: Proc. ICTIS 2020. Springer.

  • Roopam Sadh and Rajeev Kumar (2020) Clustering of Quantitative Survey Data: A Subsystem of EDM Framework. In Proc. Int Conf. Computational Methods & Data Engineering (ICDME). Advances in Intelligent Systems and Computing. Springer.

  • Roopam Sadh and Rajeev Kumar (2019) EDM framework for knowledge discovery in educational domain. In Recent Trends in Communication, Computing, and Electronics, pages 409–417. Springer.

  • Neeraj Pathak and Rajeev Kumar (2019) Improved Wisdom of Crowds Heuristic for Solving Sudoku Puzzles. In Proc. Soft Computing and Signal Processing. Conf. Advances in Intelligent Systems & Computing, vol 900, pp. 369-377. Springer, Singapore. https://doi.org/10.1007/978-981-13-3600-3\_34

  • Sonam Chhikara and Rajeev Kumar (2019) An adaptive frequency based steganography technique. In Proc. Int. Conf. Information, Communication and Computing (ICICC), May 2018. Communications in Computer and Information Science, vol. 839, pp 139-149. Springer. https://doi.org/10.1007/978-981-13-5992-7_12

  • Akanksha Mukhriya and Rajeev Kumar (2018) Exploring Ensembles for Unsupervised Outlier Detection: An Empirical Analysis. TEAMC, NSIT Delhi, March 2018. Springer

  • Sonal Tuteja and Rajeev Kumar (2018) An Architecture for Data Unification in E-commerce using Graph. 9th Int. Conf. Quality, Reliability, Infocom Tech & Business Operations (ICQRIT), Dec 2018.

  • Sonam Chhikara and Rajeev Kumar (2018) An information theoretic steganalysis for object based LSB steganography. Fourth Int. Conf. Next Generation Computing Technology (NGCT), Dehradun, Nov. 2018.

  • Sonal Tuteja and Rajeev Kumar (2017) A System Architecture for Mapping Application Data into Complex Graph. In Proc. Information, Communication and Computing Technology (ICICCT). Communications in Computer and Information Science, vol. 750: pp. 148 – 155. Springer.

  • Neeraj Pathak and Rajeev Kumar (2017) A hybridized evolutionary algorithm for bi-objective bi-dimensional bin-packing problem. In Proc. Information, Communication and Computing Technology. ICICCT. Communications in Computer and Information Science, vol. 750: pp. 296 – 304. Springer.

  • Mahesh Shirole and Rajeev Kumar (2015) Test scenario selection for concurrency testing from UML models. In Proc. Int. Conf. Contemporary Computing (IC3), pp. 531-536. IEEE Press.

  • Mahesh Shirole, Mounika Kommuri, and Rajeev Kumar (2012) Transition sequence exploration of UML activity diagram using evolutionary algorithm. In Proc. India Software Engineering Conf., pp. 97 – 100. ACM.

  • Mahesh Shirole, Amit Suthar, and Rajeev Kumar (2011) Generation of improved test cases from UML state diagram using genetic algorithm. In Proc. India Software Engineering Conf., pp. 125-134. ACM.

  • Soma Saha, Gyan Baboo, Rajeev Kumar (2011) An Efficient E.A. with Multipoint Guided Crossover for Bi-objective Graph Coloring Problem. In Proc. 4th Int. Conf. Contemporary Computing (IC3), August 2011. Communications in Computer and Information Science (CCIS) 168, pp. 135 – 145, 2011. Springer.

  • Soma Saha and Rajeev Kumar (2011) Improvement of bounded-diameter MST instances with hybridization of multi-Objective E.A. In Proc. Int. Conf. Comm. Comput. Sec. (ICCCS), Rourkela, February 2011. ACM.

  • Sandip Aine, P. P. Chakrabarti, Rajeev Kumar (2010) Contract Search: Heuristic Search under Node Expansion Constraints. In Proc. Euro. Conf. AI (ECAI), Lisbon, Portugal, pp. 733-738. IOS Press.

  • Mahesh Shirole and Rajeev Kumar (2010) A hybrid genetic algorithm-based test case generation using sequence diagrams. In Proc. Int. Conf. Contemporary Computing (IC3), pp. 53-63, 2010. Springer.

  • Abhiram Kasina, Amit Suthar and Rajeev Kumar (2010) Detection of polymorphic viruses in windows executables. In Proc. Int. Conf. Contemporary Computing (IC3), pp. 120-130, 2010. Springer.

  • Soma Saha, Mohammad Aslam and Rajeev Kumar (2010) Assessing the Performance of Bi-objective MST for Euclidean and Non-Euclidean Instances. In Proc Int. Conf. Contemporary Computing (IC3), pp. 229-240, 2010. Springer.

  • Sandip Aine, PP Chakrabarti, and Rajeev Kumar (2009) Contract Search: An adaptive heuristic search strategy under node expansion constraints, In Sym. Combinatorial Search (SoCS-09), Los Angles. AAAI Inc.

  • Rajeev Kumar, Bipul K. Bal and Peter Rockett (2009) Multiobjective genetic programming approach to evolving heuristics for the bounded diameter minimum spanning tree problem. In Proc. Genetic and Evolutionary Computation Conference (GECCO), Montréal, pp. 309 – 316, July 2009. ACM.

  • Paresh Tolay and Rajeev Kumar (2009) Evolution of hyperheuristics for the biobjective graph coloring problem using multiobjective genetic programming. In Proc. Genetic and Evolutionary Computation Conference (GECCO), Montréal, pp. 1939-1940, July 2009. ACM.

  • Pranith Kumar D., Anchal Nema and Rajeev Kumar (2009) Hybrid analysis of executables to detect security vulnerabilities. In Proc. 3rd Hackers' Workshop, Kanpur, pp. 9 - 16, March 2009. Also, in Proc. 2nd India Software Engineering Conference (ISEC), Pune, pp. 141 - 142, February 2009. ACM.

  • Rajeev Kumar, Ashwin Joshi, Krishna Banka and Peter Rockett (2008) Evolution of hyperheuristics for biobjective 0/1 knapsack problem by multiobjective genetic programming. In Proc. Genetic and Evolutionary Computation Conference (GECCO), Atlanta, pp. 1227 – 1234, July 2008. ACM

  • Rajeev Kumar, Paresh Tolay and Siddharth Tiwary (2008) Enhancing solution quality of the biobjective graph coloring problem using hybridization of E.A. In Proc. Genetic and Evolutionary Computation Conference (GECCO), Atlanta, pp. 547 – 554, July 2008. ACM.

  • Soham S. Chakraborty and Rajeev Kumar (2008) Precise static type analysis in component based programming environment. In Proc. 1st India Software Engineering Conference (ISEC), Hyderabad, pp. 133 - 134, February 2008. ACM.

  • Sandip Aine, PP Chakrabarti, and Rajeev Kumar (2007) AWA* - A window constrained anytime heuristic search algorithm. In Proc. 12th Int. Jt. Conf. Artificial Intelligence (IJCAI), Hyderabad, pp. 2250 - 2255, January 2007. IJCAI, Inc.

  • Soham S. Chakraborty and Rajeev Kumar (2007) Static analysis based application specific dispatch table compaction. In Proc. 15th Int. Conf. Advance Computing and Communication (ADCOM), Guwahati, December 2007. IEEE CS Press

  • Vasant Patil and Rajeev Kumar (2007) Compressed domain inverse motion compensation in H.264/AVC video. In Proc. 10th Int. Symp. Wireless Personal Multimedia Communications (WPMC-07), Jaipur. December 2007. IEEE Press

  • Vasant Patil and Rajeev Kumar (2007) A fast arbitrary factor H.264/AVC video re-sizing algorithm. In Proc. IEEE Int. Conf. Image Processing (ICIP), San Antonio, Texas, USA. September 2007. IEEE Press.

  • S.K. Panda, VG Kasturi, PP Chakrabarti, and Rajeev Kumar (2007) Scenario driven test case generation for functional verification of pipelined processors. In Proc. 11th IEEE VLSI Design and Test Symposium (VDAT), Kolkata, India, August 2007.

  • Nilanjan Banerjee and Rajeev Kumar (2007) Multiobjective network design for realistic traffic models. In Proc. Genetic and Evolutionary Computation Conference (GECCO), London, pp. 1904 - 1911, July 2007. ACM.[Best Paper Nominee]

  • Rajeev Kumar and PK Singh (2007) On quality performance of heuristic and evolutionary algorithms for biobjective minimum spanning trees. In Proc. Genetic and Evolutionary Computation Conference (GECCO), London, pg. 2259, July 2007. ACM.

  • Avik Paul and Rajeev Kumar (2007) Precise dynamic slicing using execution summary. In Proc. 22nd Annual ACM Symposium on Applied Computing (SAC) (Programming Languages Track), Seoul, Korea, pp. 1330 - 1331, March 2007. ACM

  • Rajeev Kumar and PK Singh (2007) Evolutionary local search for biobjective intersecting spanning trees from geometric graphs. In LBP Proc. Fourth Int. Conf. Evolutionary Multi-Criterion Optimization (EMO), Matsushima/Sendai, Japan, pp. 1 - 6, March 2007.

  • Vasant Patil and Rajeev Kumar (2007) An effective motion re-estimation in frame-skipping video transcoding. In Proc. Int. Conf. Computing: Theory and Applications (ICCTA): Platinum Jubilee of the Indian Statistical Institute, Kolkata, India. March 2007. IEEE CS Press

  • Rajeev Kumar, PK Singh, and Bhargab B. Bhattacharya (2007) A local search heuristic for biobjective intersecting geometric graphs. In Proc. Int. Conf. Computing: Theory and Applications (ICCTA): Platinum Jubilee of Indian Statistical Institute, Kolkata, India. March 2007. IEEE CS Press.

  • S.K. Panda, Arnab Roy, PP Chakrabarti, and Rajeev Kumar (2007) Simulation based verification using temporally attributed boolean logic. In Proc. 20th Int. Conf. VLSI Design/ 6th Int. Conf. Embedded System, Bangalore, Jan. 2007. IEEE CS Press.

  • Pravanjan Choudhury, PP Chakrabarti, and Rajeev Kumar (2007) Online dynamic voltage scaling analysis using task graph mapping for multiprocessors. In Proc. 20th Int. Conf. VLSI Design/ 6th Int. Conf. Embedded System, Bangalore, Jan. 2007. IEEE CS Press.

  • Dipankar Das, Rajeev Kumar, and PP Chakrabarti (2006) Timing verification of UML activity diagram based code block level models for real-time multiprocessor system-on-chip Applications. In Proc. 13th Asia Pacific Software Engineering Conference (APSEC), Bangalore, pp. 199 - 206, December 2006. IEEE CS Press.

  • Sandip Aine, Rajeev Kumar, and PP Chakrabarti (2006) Improving standard cell placement through adaptive parameter control. In Proc. IEEE Int. Conf. Industrial Technology (ICIT), Mumbai, Dec, 2006.

  • Vasant Patil, Tummala Kalyani, Atul Bhartia, Rajeev Kumar, and Jayanta Mukherjee (2006) DCT domain transcoding of H.264/AVC video. In Proc.5th Indian Conference on Computer Vision, Graphics, and Image Processing (ICVGIP), Madurai, India. LNCS 4338: 696 - 707, December 2006. Springer.

  • Vasant Patil, Rajeev Kumar, Jayanta Mukherjee, and SS Prasad (2006) A fast arbitrary down-sampling algorithm for video transcoding. In Proc. IEEE Int. Conf. Image Processing (ICIP), Atlanta, GA, USA. October 2006. IEEE Press.

  • Rajeev Kumar, Rahul Chaudhry, Dipankar Das, Vibha Rathi, S.K. Panda, and P.P. Chakrabarti (2006) SystemC Modeling and Validation of a Pipelined RISC Processor Based System. In Proc. Forum of Specification & Design Languages (FDL), Darmstadt, Germany, pp. 189 – 196, September 2006.

  • Rajeev Kumar, PK Singh, and Bhargab B Bhattacharya (2006) Biobjective evolutionary and heuristic algorithms for intersection of geometric graphs. In Proc. Genetic and Evolutionary Computation Conference (GECCO), Seattle, USA, pp. 1689 – 96, July 2006. ACM.

  • Rajeev Kumar, PK Singh, AP Singhal, and Atul Bhartia (2006) Evolutionary and heuristic algorithms for multiobjective 0-1 knapsack problem. In Proc. 10th Online World Conf. Soft Computing in Industrial Applications (WSC10), September/October 2005. In A. Tiwari, J. Knowles, E. Avineri, K. Dahal, and R. Roy (Eds.), Applications of Soft Computing: Recent Trends, May 2006. ISBN 3-540-291-23-7. Springer.

  • Sandip Aine, Rajeev Kumar, and PP Chakrabarti (2006) Adaptive parameter control of evolutionary algorithms under time constraints. In Proc. 10th Online World Conf. Soft Computing in Industrial Applications (WSC10), September/October 2005. In A. Tiwari, J. Knowles, E. Avineri, K. Dahal, and R. Roy (Eds.), Applications of Soft Computing: Recent Trends, May 2006. ISBN 3-540-291-23-7. Springer.

  • Sandip Aine, PP Chakrabarti, and Rajeev Kumar (2006) Improving the performance of CAD optimization algorithms using on-line meta-level control. In Proc. 19th Int. Conf. VLSI Design/ 5th Int. Conf. Embedded System, Hyderabad, pp. 683 - 688, January 2006. IEEE CS Press.

  • Arnab Sarkar, PP Chakrabarti, and Rajeev Kumar (2006) Frame based fair multiprocessor scheduler: a fast fair algorithm for real-time embedded systems. In Proc. 19th Int. Conf. VLSI Design/ 5th Int. Conf. Embedded System, Hyderabad, pp. 677 - 682, January 2006. IEEE CS Press.

  • Sandip Aine, Rajeev Kumar, and PP Chakrabarti (2005) An adaptive framework for solving multiple hard problems under time constraints. In Proc. Int. Conf. Computational Intelligence and Security (CIS), Xi'an, China, LNCS 3801: 57 - 64, Dec 2005. Springer.

  • Sandip Aine, Rajeev Kumar, and PP Chakrabarti (2005) Adaptive control of anytime algorithm parameters. In Proc. 2nd Indian Int. Conf. Artificial Intelligence (IICAI), Pune, pp. 72 - 87, Dec. 2005.

  • Vasant Patil and Rajeev Kumar (2005) A DCT domain frame skipping video transcoder. In Proc. IEEE Int. Conf. Image Processing (ICIP), Genova, Italy. September 2005. IEEE Press.

  • Arnab Sarkar, PP Chakrabarti, and Rajeev Kumar (2005) Boundary fair round-robin: a fast fair scheduler. In Proc. 9th VLSI Design & Test Symp. (VDAT), Bangalore, pp. 81 - 91, August 2005. Elite Publishing.

  • Sanjay Chatterjee, PP Chakrabarti, and Rajeev Kumar (2005) An optimal algorithm for register renaming: a post compilation technique. In Proc. 9th VLSI Design & Test Symp. (VDAT), Bangalore, pp. 102 - 111, August 2005. Elite Publishing.

  • Vasant Patil and Rajeev Kumar (2005) An arbitrary frame-skipping video transcoder. In Proc. IEEE Int. Conf. Multimedia and Expo (ICME), Amsterdam, The Netherlands. July 2005. IEEE Press.

  • Rajeev Kumar and Nilanjan Banerjee (2005) Running time analysis of a multiobjective evolutionary algorithm on simple and hard problems. In Proc. Foundations of Genetic Algorithms (FoGA) Workshop, AizuWakamatsu, Japan, January 2005. LNCS 3469: 112 - 131, March 2005. Springer.

  • Rajeev Kumar, PK Singh and PP Chakrabarti (2005) Multiobjective E.A. approach for improved quality of solutions for spanning tree problem. In Proc. 3rd Int. Conf. Evolutionary Multi-Criterion Optimization (EMO), Guanajuato, Mexico. LNCS 3410: 811- 825, March 2005. Springer.

  • DP Mohapatra, R. Mall, and Rajeev Kumar (2005) A parallel algorithm for dynamic Slicing of distributed Java programs in non-DSM systems. In Proc. 8th Int. Conf. Information Technology (CiT), Bhubaneswar, pp 3 - 6, December 2005.

  • Dipankar Das, Rajeev Kumar, and PP Chakrabarti (2005) Dictionary based code compression for variable length instruction encodings. In Proc. 18th Int. Conf. VLSI Design/ 4th Int. Conf. Embedded System, Kolkata, pp. 545 - 550, January 2005. IEEE CS Press.

  • Rajeev Kumar, PK Singh, and PP Chakrabarti (2004) Improved quality of solutions for multiobjective spanning tree problem using evolutionary algorithm. In Proc. 11th Int. Conf. High Performance Computing (HiPC), Bangalore. LNCS 3296: 494 - 503, December 2004. Springer.

  • Rajeev Kumar, PK Singh, and PP Chakrabarti (2004) Distributed evolutionary algorithm search for multiobjective spanning tree problem. In Proc. 6th Int. Workshop Distributed Computing (IWDC), Kolkata. LNCS 3326: 538, December 2004. Springer.

  • Ashok Turuk and Rajeev Kumar (2004) A novel scheme to reduce burst-loss and provide QoS in optical burst switching networks. In Proc. 11th Int. Conf. High Performance Computing (HiPC), Bangalore. LNCS 3296: 309 - 318, December 2004. Springer.

  • Ashok Turuk and Rajeev Kumar (2004) A distributed contention resolution scheme to reduce blocking probability in optical burst-switching networks. In Proc. 6th Int. Workshop Distributed Computing (IWDC), Kolkata. LNCS 3326: 361 - 372, December 2004. Springer.

  • Rajeev Kumar, PK Singh, and PP Chakrabarti (2004) Multiobjective genetic search for spanning tree problem. In Proc. 11th Int. Conf. Neural Information Processing (Iconip), Kolkata. LNCS 3316: 218 - 223, November 2004. Springer.

  • Nilanjan Banerjee and Rajeev Kumar (2004) Expected running time analysis of a multiobjective evolutionary algorithm on pseudo-boolean function. In Proc. 11th Int. Conf. Neural Information Processing (Iconip), Kolkata. LNCS 3316: 193 - 198, November 2004. Springer.

  • Rajeev Kumar and P.I. Rockett (2004) Effective evolutionary multimodal optimization by multiobjective reformulation without explicit niching/sharing. In Proc. Asian Applied Computing Conference (AACC), Kathmandu. LNCS 3285: 1 - 8, October 2004. Springer.

  • Dipankar Das, Rajeev Kumar, and PP Chakrabarti (2004) Code compression using unused encoding space for variable length instruction encodings. In Proc. 8th VLSI Design & Test Workshop (VDAT), Mysore, August 2004.

  • Vasant Patil and Rajeev Kumar (2004) A generic video transcoder for MPEG streams by arbitrary frame dropping. In Proc. IEEE India Council Conference (INDICON), Kharagpur. December 2004. Available online at IEEE Digital Library.

  • DP Mohapatra, R. Mall, and Rajeev Kumar (2004) A novel method for computing dynamic slices of concurrent C++ program. In Proc. 12th Int. Conf. Advanced Computing & Communications (ADCOM), Ahmedabad, Dec 2004.

  • DP Mohapatra, R. Mall, and Rajeev Kumar (2004) A novel approach for dynamic slicing of distributed object-oriented programs. In Proc. 1st Int. Conf. Distributed Computing & Internet Technology (IcDCIT), Bhubaneswar. LNCS 3347: 304 - 309. Dec 2004. Springer.

  • DP Mohapatra, R. Mall, and Rajeev Kumar (2004) An efficient technique for dynamic slicing of concurrent Java programs. In Proc. Asian Applied Computing Conference (AACC), Kathmandu. LNCS 3285: 255 - 262, October 2004. Springer.

  • DP Mohapatra, R. Mall, and Rajeev Kumar. (2004) An edge marking technique for dynamic slicing of object-oriented programs. In Proc. Int. Computer Software & Applications Conf. (CompSAC), Hongkong. Design and Assessment of Trustworthy Software-Based Systems, 60 - 65, Sep 2004. IEEE CS Press.

  • DP Mohapatra, R. Mall, and Rajeev Kumar (2004) A novel method for computing dynamic slices of object-oriented programs with conditional statements. In Proc. IEEE India Council Conference (INDICON), Kharagpur. December 2004. Available online at IEEE Digital Library.

  • Rajeev Kumar (2003) Multicriteria network design using distributed evolutionary algorithm. In Proc. Int. Conf. High Performance Computing (HiPC), Hyderabad. LNCS 2913: 343 - 352, December 2003. Springer.

  • Ashok Turuk, Rajeev Kumar, and R. Badrinath (2003) A token based distributed algorithm for medium access in an optical ring. In Proc. Int. Workshop Distributed Computing (IWDC), Kolkata. LNCS 2918: 340 - 349, December 2003. Springer.

  • Rajeev Kumar (2003) A rate adaptation transcoding to support QoS over internet for multimedia traffic. In Proc. IEEE Region 10 Conference on Convergent Technologies (Tencon), Bangalore, pp. 313 - 318, October 2003. Available online at IEEE Digital Library.

  • Rajeev Kumar and Nilanjan Banerjee (2003) Multicriteria network design using evolutionary algorithm. In Proc. Genetic and Evolutionary Computing Conference (GECCO), Chicago, IL. LNCS 2723: 2179 - 2190, July 2003. Springer.

  • Rajeev Kumar and P.I. Rockett (2003) Evolutionary multimodal optimization revisited. In Proc. Genetic and Evolutionary Computing Conference (GECCO), Chicago, IL. LNCS 2723: 1592 - 1593, July 2003. Springer.

  • Rajeev Kumar (2003) A protocol with transcoding to support QoS over internet for multimedia traffic. In Proc. IEEE Int. Conf. Multimedia and Expo (ICME), Baltimore, MD. I.465 - I.468, July 2003. IEEE Press.

  • Rajeev Kumar (2003) Scaling and generalisation in data-Mining by meta-learning of data-partitions. In Proc. Int. Conf. Info. Tech. - Prospects and Challenges (ITPC), vol. 2: 27 - 34, Kathmandu, 23- 26 May 2003.

  • DP Mohapatra, R. Mall, and Rajeev Kumar (2003) Dynamic slicing of object-oriented programs". In Proc. Int. Conf. Info. Tech. - Prospects and Challenges (ITPC), pages 283 - 290, Kathmandu, 23- 26 May 2003.

  • DP Mohapatra, R. Mall, and Rajeev Kumar (2003) A novel approach for slicing of object-oriented programs. In Proc. 6th Int. Conf. Information Technology (CiT), Bhubaneswar, pp. 110 - 115, Dec 2003.

  • DP Mohapatra, R. Mall, and Rajeev Kumar (2003) "Dynamic slicing of object-oriented programs". In Proc. Eleventh Int. Conf. Advanced Computing & Communications (ADCOM), Coimbatore, pp. 1 - 14, Dec. 2003.

  • Rajeev Kumar and V. Devatha (2002) Statistical approach to robust video temporal segmentation. In Proc. 3rd Indian Conference Computer Vision, Graphics & Image Processing (Icvgip), pages 91 - 96, 16 - 18 December 2002.

  • V. Makkapati and Rajeev Kumar (2002) Improved encoding of wavelet coefficients extracted from multispectral and hyperspectral image data. In Proc. 3rd Indian Conference Computer Vision, Graphics & Image Processing (Icvgip), pages 191 - 196, 16 - 18 December 2002.

  • Ashok Turuk, R. Badrinath, and Rajeev Kumar (2002) A collision-free MAC protocol for all-optical ring networks. In Proc. HiPC Trusted Internet Workshop, Co-located with Int. Conf. High Performance Computing (HiPC), Bangalore,18 Dec 2002.

  • Rajeev Kumar, JS Rao, S. Chattopadhyay, and GK Rao (2002) A protocol to support QoS for multimedia traffic over Internet with transcoding. HiPC Trusted Internet Workshop, Co-located with Int. Conf. High Performance Computing (HiPC), Bangalore,18 December 2002.

  • Rajeev Kumar, PP Parida, and M. Gupta (2002) Topological design of communication networks using multi-objective genetic optimization. In Proc. Congress Evolutionary Computation (CEC), pages 425 - 430, May 2002. IEEE Press.

  • Rajeev Kumar and P.I. Rockett (2002) A bootstrapped modular learning approach for scaling and generalization of grey-level corner detection. In Proc. Advances in Soft Computing, LNCS (Subseries LNAI), 2275: 395 - 400, Feb 2002. Springer.

  • Rajeev Kumar (2000) A grey-level image corner detector using a modular neural network. In 2nd Indian Conf. Computer Vision, Graphics & Image Processing (Icvgip), Bangalore, 20-22 Dec 2000.

  • Rajeev Kumar (2000) Codebook design for vector quantisation using multiobjective genetic algorithms. In Proc. PPSN/SAB Workshop Multiobjective Problem Solving from Nature (MPSN), College de France, Paris, Sep 2000.

  • Rajeev Kumar, S. Prasanth, and MS Sudarshan (2000) Topological design of mesh communication networks using multiobjective genetic optimisation. In Proc. PPSN/SAB Workshop Multiobjective Problem Solving from Nature (MPSN), College de France, Paris, Sep 2000.

  • Rajeev Kumar, Mayank Gupta, and Bhanu Prakash (2000) A hybrid learning algorithm for vector quantisation design. In Proc. IEEE Regional Int. Conf. Control, Communication & Signal Processing (CCSP), Bangalore, 25-28 July 2000.

  • MC Agarwal and Rajeev Kumar (2000) Edge detection using statistical self-similarity approach to the fractal brownian motion model. In Proc. IEEE Regional Int. Conf. Control, Communication & Signal Processing (CCSP), Bangalore, 25-28 July 2000.

  • Rajeev Kumar, VP Krishnan, and SK Santhanakrishnan (2000) Design of an optimal communication network using multiobjective genetic optimisation. IEEE Int. Conf. Industrial Technology (ICIT), 19-22 January 2000, Goa, pp. 515-520. IEEE Catalog Number 00TH 8482.

  • Rajeev Kumar (1999) On generalization of machine learning with neural-evolutionary computations. In Proc. 3rd Int. Conf. Computational Intelligence & Multimedia Applications (ICCIMA), New Delhi, pp. 112-116, Sept 1999. IEEE CS Press.

  • Rajeev Kumar, N. Vijay Kumar, and IJ Nagrath (1999) Object oriented toolkit for multiobjective genetic optimization. In Proc. 3rd Int. Conf. Computational Intelligence & Multimedia Applications (ICCIMA), New Delhi, pp. 96-100, September 1999. IEEE CS Press.

  • M. Prashant, R. Siddharth, and Rajeev Kumar (1999) Formulation of an encryption algorithm on the basis of molecular genetics and image patterns. In Proc. 3rd Int. Conf. Computational Intelligence & Multimedia Applications (ICCIMA), New Delhi, pp. 76-80, September 1999. IEEE CS Press.

  • MC Agarwal, KL Arvind, Rajeev Kumar, and IJ Nagrath (1999) Vibratory tactile display - a fractal brownian approach. In Proc. 3rd Int. Conf. Computational Intelligence & Multimedia Applications (ICCIMA), New Delhi, pp. 442-446, September 1999. IEEE CS Press.

  • Rajeev Kumar (1998) Propagating errors into feature representation for robustness of local invariants. In Proc. Indian Conf. Computer Vision, Graphics & Image Processing (Icvgip), New Delhi, pp.159-165, December 98.

  • MC Agarwal, KL Arvind, Rajeev Kumar, and IJ Nagrath (1998) Dimension estimation of image based textures for a vibratory tactile display using a fractal Brownian model. In Proc. Int. Conf. Knowledge Based Computer Systems (KBCS), Mumbai, pp.333-344, December 1998.

  • Rajeev Kumar (1998) A connectionist architecture for scaling neural computation. In Proc. Int. Symp. Intelligent Robotic Systems (ISIRS), Bangalore, pp. 215-218, 10-12 January 1998.

  • Rajeev Kumar (1997) Superneuron: A generalisation of neuron for partitioning and nesting in modular neural systems. In Proc. 6th IEEE Regional Symp. Intelligent Systems, Bangalore, pp. 150-154, 20-21 November 1997.

  • Rajeev Kumar and P.I. Rockett (1997) Assessing the convergence of rank-based multiobjective genetic algorithms. In Proc. IEE/ IEEE 2ndInt. Conf. Genetic Algorithms in Engineering Systems: Innovations & Applications (GALESIA), Glasgow UK, pp. 19-23, 2-4 September 1997. IEE Conference Publication No. 446.

  • Rajeev Kumar, WC Chen, and P.I. Rockett (1997) Bayesian labelling of image corner features using a grey-level corner model with a bootstrapped modular neural network. In Proc. IEE 5th Int. Conf. Artificial Neural Networks (ANN-97), Cambridge UK, pp. 82-87, 7-9 July 1997. IEE Conference Publication No. 440.

  • Rajeev Kumar and P.I. Rockett (1997) Decomposition of high dimensional pattern spaces for hierarchical classification. In Proc. IAPR Workshop Statistical Techniques in Pattern Recognition (STIPR-97), Institute of Information Theory & Automation, Academy of Sciences of Czech Republic. Prague Czech Republic, pp. 97-102, 9-11 June 1997.

  • Rajeev Kumar and P.I. Rockett (1997) Multiobjective genetic algorithm partitioning for hierarchical learning of high dimensional spaces. In Proc. IEE Colloquium Pattern Recognition, London UK, pp. 6/1-6/6, 26 February 1997. IEE Publication Ref. No. 1997/018.

  • Rajeev Kumar and P.I. Rockett (1996) ANCHOR - A connectionist architecture for hierarchical nesting of multiple heterogeneous neural nets. In Proc. AAAI Workshop Integrating Multiple Learned Models (IMLM 96), Portland Oregon USA, pp. 59-65, 4-5 August 1996. Menlo Park, Calif.: AAAI Press.

Conference Research Publications: Non-Reviewed / National

  • Rajeev Kumar (2020) Academic Autonomy in HEIs: The Most Used, Misused yet the Least Understood Term? Int. Summit in Quality Indices in Higher Edu., DTU Delhi, Nov 2020.

  • Priti Kumari, Roopam Sadh, and Rajeev Kumar (2020) Research criteria for measuring quality: Do they promote genuine research or manipulation? Int. Summit in Quality Indices in Higher Edu., DTU Delhi, Nov 2020.

  • Roopam Sadh and Rajeev Kumar (2020) Quality Indicators of HEIs: Are they adequate in Indian Context. Int. Summit in Quality Indices in Higher Edu., DTU Delhi, Nov 2020.

  • Soham S. Chakraborty and Rajeev Kumar (2006) Prioritizing methods for optimal method inlining. In Web Proc. 13th Int. Conf. High Performance Computing Conference (HiPC), Bangalore, Dec 2006.

  • Anshuman Mishra, Rajeev Kumar, and PP Chakrabarti (2005) A method-based whole-program watermarking scheme for Java class files. In Web Proc. 12th Int. Conf. High Performance Computing Conference (HiPC), Goa, Dec 2005. [Best Poster Award]

  • DP Mohapatra, R. Mall, and Rajeev Kumar (2005) A parallel algorithm for dynamic Slicing of distributed Java programs in non-DSM systems. In Proc. 8th Int. Conf. Information Technology (CiT), Bhubaneswar, pp 3 - 6, Dec 2005.

  • PK Singh, Rajeev Kumar, and PP Chakrabarti (2005) Solving hard real-world problems using multiobjective evolutionary algorithm. Int. Conf. Challenges & Opportunities in IT Industry, Ludhiana, Nov. 2005.

  • Dipankar Das, SK Panda, Rajeev Kumar, and PP Chakrabarti (2004) SystemC modeling of a pipelined RISC processor based system. In Web Proc. Performance Issues in Mobile Devices Workshop, Co-located with 11th Int. Conf. High Performance Computing Conference (HiPC), Bangalore, Dec 2004.

  • BS Pankaj, Amit Gupta, Rajeev Kumar, and PP Chakrabarti (2004) Optimizing binaries for multiple gain factors using state-based model. In Web Proc. 11th Int. Conf. High Performance Computing Conference (HiPC), Bangalore, Dec 2004.

  • M Ghosh, Rajeev Kumar, and PP Chakrabarti (2004) FSM Matchers: A Post Compilation Optimization technique for Extensible Architectures. In Web Proc. Int. High Performance Computing Conference. Bangalore.

  • Vasant Patil and Rajeev Kumar (2004) Transcoding for QoS aware distributed multimedia applications. In Proc. Conf. Distributed Processing & Networking, Kharagpur, pp. 38 - 43, June 2004.

  • Ashok Turuk and Rajeev Kumar. (2004) A novel approach to contention resolution in optical burst-switch networks. In Proc. Conf. Distributed Processing & Networking, Kharagpur, pp. 106 - 110, June 2004.

  • DP Mohapatra, R. Mall, and Rajeev Kumar (2004) A node marking technique for dynamic slicing of object-oriented programs. In Proc. Int. Workshop Software Development & Architecture (SoDA), Bangalore, pp. 1 - 15, January 2004.

  • SS Gupta, Dipankar Das, SK Panda, Rajeev Kumar, and PP Chakrabarty (2003) Code compression for RISC processors with variable length instruction encoding. Int. Conf. High Performance Computing (HiPC), Hyderabad. Web Proceedings, Dec 2003.

  • DP Mohapatra, R. Mall, and Rajeev Kumar (2003) An efficient technique for slicing of object-oriented programs. In Proc. Nat. Conf. Object-Oriented Technology (NCOOT), Lonere, pp. 27 - 42, August 2003.

  • Rajeev Kumar, Mayank Gupta, and Bhanu Prakash (2000) A hybrid learning algorithm for vector quantisation design. In Proc. IEEE Regional Int. Conf. Control, Communication & Signal Processing (CCSP), Bangalore, 25-28 July 2000.

  • Rajeev Kumar (1999) Image corner detection using a modular neural network. In Proc. IETE Regional Conf. Digital Signal Processing & Computer Vision, Allahabad, 12-14 March 1999.

  • A. Mukherjee, S. Nayak, and Rajeev Kumar (1999) A natural language processor for information retrieval from object attributes. In Proc. 30th IETE Mid-Term Symposium Data Warehousing and Data Mining Applications, Pilani, 3-4 April 1999.

  • M. Prashant, R. Siddharth, and Rajeev Kumar (1999) Cryptography with molecular genetics and image patterns. In Proc. IETE Regional Conf. Digital Signal Processing & Computer Vision, Allahabad, 12-14 March 1999.

  • KL Arvind, MC Agarwal, Rajeev Kumar, and I.J. Nagrath (1998) A weighted scheme to extract and map textures from multi-resolution images. In Proc. CSI Conf. Information Technology, New Delhi, Sep 1998.

  • Sachin Goyal and Rajeev Kumar (1998) A garbage collector for C/C++. In Proc. Nat. Conf. in Information Technology & Applications: Emerging Trends, Roorkee, pp. 98-103, Dec 98.

  • Rajeev Kumar (1997) Natural sampling of the Pareto-front in multiobjective genetic optimisation. In Proc. 3rd Int. Conf. Cognitive Systems (ICCS), New Delhi, 13-15 Dec 1997.

  • Rajeev Kumar and SD Mehta (1993) An open vision system for cartographic informatics. In Proc. Indian National Cartographic Association (INCA) Congress on Technological Transitions in Cartography, p72. Survey of India Dehradun. Nov. 1993.

  • Rajeev Kumar and GK Hariharan (1993) EXVIS: a knowledge-based system for understanding of multispectral image data. In Proc. INSA and CSI Seminar on PR, AI & NN, pp 41-43. ONGC Dehradun. Mar 1993.

  • GK Hariharan and Rajeev Kumar (1993) A neural net implementation of invariant shape recognition. In Proc. INSA and CSI Seminar on PR, AI & NN, pp 31-33. ONGC Dehradun. Mar 1993.

  • Rajeev Kumar and SD Mehta (1989) Image understanding techniques for onboard cartography. In Proc. 9th Indian National Cartographic Association (INCA) Int. Seminar on Digital Cartography & Potential Users, pp. 183-184. Survey of India Dehradun Nov. 1989.


Book


1


Edited Books (Conf. Proceedings)


3


Chapters in Edited Books


4


Published Tutorials (USA)


3


Journal Research Articles


~80


Int. Conference/Workshop Research Articles


~150


National Conference/Workshop Research Articles


~20