S. Sen, A. Dey and U. Maulik, "Identifying Transcription Factors as Drug Targets for Prostate Carcinoma Considering Protein Moonlighting Behavior", RECOMB 2019 (accepted).
S. Sen, A. Dey and U. Maulik,"Identifying Potential Hubs for Kidney Renal Clear Cell Carcinoma from TF-miRNA-Gene Regulatory Networks", IEEE ASPCON, 2019 (accepted).
J. P. Sarkar, I. Saha, S. Rakshit, M. Pal. M. Wlasnowolski, A. Sarkar, U. Maulik and D. Plewczynski, "A new evolutionary rough fuzzy integrated machine learning technique for microRNA selection using next-generation sequencing data of breast cancer", GECCO, pp. 1846-1854, 2019.
S. Rakshit, I. Saha, M. Wlasnowolski, U. Maulik and D. Plewczynski, "Deep Learning for Detection and Localization of Thoracic Diseases Using Chest X-Ray Imagery", ICAISC, pp. 271-282, 2019.
S. Sen, U. Maulik, "Detecting the Common Biomarkers for Early Stage Parkinsons Disease and Early Stage Alzheimers Disease Associated with Intrinsically Disordered Protein", International Conference on Advances in Computing and Data Sciences, pp. 25-34, 2018.
S. Basu, S. Roy, U. Maulik, "Convolutional regression framework for health behavior prediction", COMSNETS, pp. 214-221, 2017.
S. Roy, K. Mishra, U. Maulik, S. Basu, "A distributed multilabel classi.cation approach towards mining appliance usage in smart homes", IEEE CALCON, pp. 474-478, 2017.
S. Ray, A. Hossain and U.Maulik, "Disease associated protein complex detection: a multiobjective evolutionary approach", In Proc. MICROCOM-2016, NIT Durgapur, 2016 (10.1109/MicroCom.2016.7522420).
A. Lancucki, S. S. Bhowmick, I. Saha, U. Maulik and P. Lipinski, ``A New Evolutionary MicroRNA Marker Selection using Next Generation Sequencing Data", IEEE CEC 2016 (accepted).
S. Sarkar, A. Sarkar, B. N. Biswas and U. Maulik, ``GA Optimized Fuzzy Controlled DPLL using Discrete Energy Separation Algorithm", IEEE First International Conference on Control, Measurement and Instrumentation (CMI 2016), 2016 (accepted).
S.Sarkar, U.Maulik and B.N.Biswas. ``Digital Phase Lock Loop based on Discrete Energy Separation Algorithm”,3rd Int. Conf. on Foundations & Frontiers in Computer, Communication and Electrical Engineering, 2016 (accepted).
S. De, S. Bhattacharyya and U. Maulik, "Quantum Behaved Multi-objective PSO and ACO Optimization for Multi-level Thresholding", Int. Conf. on Computational Intelligence and Communication Networks, pp. 242-246, Nov.14-16, Kolkata, India, 2014. (Best Paper Award)
S. De, S. Bhattacharyya and U. Maulik, "Quantum Inspired Automatic Clustering for Multi-level Image Thresholding", Int. Conf. on Computational Intelligence and Communication Networks, pp. 247-251, Nov.14-16, Kolkata, India, 2014.
M. Mandal, A. Mukhopadhyay and U. Maulik, ``Fuzzy Rule-based Classifier for Microarray Gene Expression Data by using a Multiobjective PSO-based Approach", FUZZ-IEEE, 2013 (accepted).
S. Ray, S. Bandyopadhyay, A. Mukhopadhyay and U. Maulik, ``Incorporating Fuzzy Semantic Similarity Measure in Detecting Human Protein Complexes in PPI Network: A Multiobjective Approach", FUZZ-IEEE, 2013 (accepted).
A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "Hybrid Evolutionary Multiobjective Fuzzy C-Medoids Clustering of Categorical Data", In Proc. IEEE Symposium Series on Computational Intelligence - SSCI 2013, Singapore, 2013 (accepted).
S. Mallik, A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "Integrated Analysis of Gene Expression and Genome-wide DNA Methylation for Tumor Prediction: An Association Rule Mining-based Approach'', In Proc. IEEE Symposium Series on Computational Intelligence - SSCI 2013, Singapore, 2013 (accepted).
B. Sriwastava, S. Basu, U. Maulik and D. Plewczynski, “Prediction of E.coli protein-protein interaction sites using inter-residue distances and high-quality-index features”, India 2012, Vishakapatnam, India, 2012 (accepted).
D. Chakroborty and U. Maulik, “Semisupervised Pixel Classification of Remote Sensing Imagery Using Transductive SVM”, International Conference on Recent Trends in Information Systems (ReTIS), Jadavpur University, 2011 (accepted).
A. Mukhopadhyay, M. De and U. Maulik, "Selection of GO-based Semantic Similarity Measures through AMDE for Predicting Protein-Protein Interactions", In Proc. Int Conf. SEMCCO - 2011, pp. 55-62, Visakhapatnam, India, December 2011.
I. Saha, U. Maulik and D. Plewczynski, “ Multiobjective Evolutionary Crisp Clustering for Evaluation of cluster automatically”, In Proc. 2nd Int. Conf. on ICMMI, Beskids, Poland, 2011 (accepted).
A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Discovery of MicroRNA markers: An SVM based multiobjective Feature Selection Approach”, 8th Annual IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE Symposium Series on Computational Intelligence), 2011.
I. Saha, U. Maulik, S. Bandyopadhyay and D. Plewczynsk, “Cancer Classification using SVM-boosted Multiobjective Differential Fuzzy Clustering”, In Proc. 19th Int. Conf. ECAI-STAIR, pp. 290-302, Portugal, Lisbon, August, 2010.
I. Saha, D. Plewczynski, U. Maulik and S. Bandyopadhyay , “Improvement of Differential Crisp Clustering using ANN Classifier for Unsupervised pixel Classification of Satellite Image”, In Proc. Int. Conf. ICEIS, pp. 21-29, Funchal, Madeira - Portugal, June 2010.
A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay and B. Brors, “GOGA: GO-driven Genetic Algorithm-based Fuzzy Clustering of Gene Expression Data”, In Proc. Int. Conf. Systems in Medicine and Biology (ICSMB 2010), pp. 234-239, I.I.T., Kharagpur, India, December 2010.
A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay and R. Eils, Mining Association Rules from HIV-Human Protein Interactions, In Proc. Int. Conf. Systems in Medicine and Biology (ICSMB 2010), pp. 349-353, I.I.T., Kharagpur, India, December 2010.
I. Saha, D. Plewczynski, U. Maulik and S. Bandyopadhyay, “Real-Coded Differential Crisp Clustering for MRI Brain Image Segmentation, In Proc. Int. WCCI Conf. IEEE Congress on Evolutionary Computation, pp. 3912-3919, Barcelona, Spain, July 2010.
I. Saha, D. Plewczynski, U. Maulik and S. Bandyopadhyay, “Consensus Multiobjective Differential Crisp Clustering for Categorical Data Analysis”, In Proc. 7th Int. Conf. RSCTS, pp. 30-39, Warsaw, Poland , June 2010.
S. Bandyopadhyay, R. Baragona and U. Maulik, “Clusters of multivariate time series”, Paper Number E027, p. 88, Third International Conference on Computational and Financial Econometrics (CFE 09), http://www.dcs.bbk.ac.uk/cfe09/, 2009.
A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Unsupervised cancer classification through SVM-boosted multiobjective fuzzy clustering with majority voting ensemble”, IEEE Congress on Evolutionary Computation (IEEE CEC 2009), pp. 255-261, Trondheim, Norway, May 2009.
C. Koner, C. T. Bhunia and U. Maulik, “analysis of the efficiency of different remote user authentication schemes ”, IEEE Conf. ICCFCC, pp. 553-557, Singapore, 2009.
A. Mukhopadhyay, S. Bandyopadhyay and U. Maulik, “Analysis of Microarray Data using Multiobjective Variable String Length Genetic Fuzzy Clustering”, IEEE Congress on Evolutionary Computation (IEEE CEC 2009), pp. 1313-1319, Trondheim, Norway, May 2009.
A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Refining Genetic Algorithm based Fuzzy Clustering through Supervised Learning for Unsupervised Cancer Classification”, Proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, Proc. EvoBIO 2009, Tubingen, Germany, Lecture Notes in Computer Science; Vol. 5483, pp. 191-202, Springer-Verlag,
April 2009.
I. Saha, N. Patra and U. Maulik, “Differential Fuzzy Clustering for Categorical Data”, Proc. Int. Conf. ICM2CS, Delhi, India, pp. 193-198, Dec. 2009.
A. Sarkar and U. Maulik, “An efficient Parallel Point Symmetry Based Clustering Algorithm”, In Proc. Int. Conf. on Computing and Communication Systems, Hooghly, India, pp. 131-136, February 2009.
I. Saha, A. Mukhopadhyay and U. Maulik, "Effectiveness of Two Stage Clustering Technique for Categorical Data”, In Proc. Int. Conf. on Computing and Communication Systems, Hooghly, India, pp. 585-592, February 2009.
A. Sarkar and U. Maulik, “Parallel Point Symmetry Based Clustering for Gene Micorarray Data”, Proc. 7th Int. Conf. on Advances in Pattern Recognition (ICAPR), pp. 351-354, Kolkata, India, 2009.
A. Mukhopadhyay and U. Maulik, “Unsupervised Satellite Image Segmentation by Combining SA based Fuzzy Clustering with Support Vector Machine”, Proc. 7th Int. Conf. on Advances in Pattern Recognition (ICAPR), pp. 381-384, Kolkata, India, 2009.
I. Saha, N. Patra and U. Maulik, “Index coding approach for new Improved Differential Crisp Clusering: Application to Microarray Data”, Proc. 12th Int. Conf. ICIT, Bhubaneswar, India, pp. 111-117, Dec. 2009.
A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Multi-objective Genetic Clustering with Ensemble Among Pareto Front Solutions: Application to MRI Brain Image Segmentation”, Proc. 7th Int. Conf. on Advances in Pattern Recognition (ICAPR), pp. 236-239, Kolkata, India, 2009.
U. Maulik and I. Saha, “Differential Evolution based Fuzzy Clustering Technique: Application to Satellite Image Segmentation”, Proc. Int. Conf. ICSCI, Hyderabad, India, Vol. 1, No. CI-2.5, pp. 360-366, January 2009.
I. Saha, A. Mukhopadhyay and U. Maulik, “Unsupervised Pattern Classification for Categorical Data : A Two Stage Fuzzy Clustering Approach”, Proc. Nat. Conf. CoCoSYS, Bardwan, India, pp. 125-130, January 2009.
A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Evolving Coherent and Nontrivial Biclusters from Gene Expression Data: An Evolutionary Approach”, Proceedings of the International Conference on IEEE TENCON, Hyderabad, India, 2008 (CD version).
A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Improving Multi-objective Clustering through Support Vector Machine: Application to Gene Expression Data”, Proceedings of the International Conference on IEEE TENCON, Hyderabad, India, 2008 (CD version).
A. Mukhopadhyay and U. Maulik, “An Improved Two Stage Fuzzy Clustering for Unsupervised Pixel Classification in Remote Sensing Imagery”, Proceedings of the International Conference on IEEE TENCON, Hyderabad, India, 2008 (CD version).
C. T. Singh and U. Maulik, “A Framework for an Artificial Immunity and Speech Based Navigation for Mobile Robots”, World Congress on Computational Intelligence (WCCI), pp. 1247-1251, Hongkong, 2008.
U. Maulik, A. Mukhopadhyay, S. Bandyopadhyay, X. Zhang and M. Zhang, “Multiobjective Fuzzy Biclustering in Microarray Data: Method and a New Performance Measure”, World Congress on Computational Intelligence (WCCI), pp. 1536-1543, Hongkong, 2008.
A. Mukhopadhyay, S. Bandyopadhyay and U. Maulik, “Combining Multiobjective Fuzzy Clustering and Probabilistic ANN Classifier for Unsupervised Pattern Classification: Application to Satellite Image Segmentation”, World Congress on Computational Intelligence (WCCI), pp. 877-883, Hongkong, 2008.
A. Seth, S. Bandyopadhyay and U. Maulik, “Pseudorandom Pattern Generation by a 4-Neighborhood Cellular Automata Based on a Probabilistic Analysis”, Proceedings of the International Conference on Operations Research, Newswood Limited, vol. II, pp. 1908-1913, Hongkong, 2008.
U. Biswas, A. Mukhopadhyay, U. Maulik and M. K. Naskar, “Traffic Grooming in Unidirectional WDM Optical Ring Networks: A Multiobjective genetic Approach”, Proc. XXXIII OSI Symposium on Optics and Optoelectronics, Tezpur, India, pp. 15-18, 2007.
U. Biswas, A. Mukhopadhyay, U. Maulik and M. K. Naskar, “A Genetic Approach for Lightpath Protection through Topology Mapping in a WDM Optical Network”, Proc. XXXIII OSI Symposium on Optics and Optoelectronics, Tezpur, India, pp. 19-21, 2007.
A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Multiobjective Genetic Fuzzy Clustering of Categorical Attributes”, 10th International Conference on Information Technology, Rourkela, India, pp. 74-79, 2007.
A. Mukhopadhyay and U. Maulik, “Multiobjective Approach to Categorical Data Clustering”, Proc. IEEE Congress on Evolutionary Computation, Singapore, pp. 1296-1303, 2007.
A. Mukhopadhyay, S. Bandyopadhyay and U. Maulik, “Clustering using Multi-objective Genetic Algorithm and its Application to Image Segmentation”, IEEE International Conference on Systems, Man and Cybernetics, Taipei, Taiwan, vol. 3, pp. 2678-2683, 2006.
S. Bhattacharyya, P. Dutta and U. Maulik,“Fuzzy Context Sensitive Thresholding Guided Bidirectional Self Organizing Neural Network (Bdsonn): A Gray Scale Object Extractor”, Intelligent Sensing and Information Processing, Bangalore, India, pp. 165-168, 2006.
S. Bhattacharyya, P. Dutta, U. Maulik and P. K. Nandi, “Pure Color Object Extraction using a Parallel Bi-Directional Self-Organizing Neural Network (PBDSONN) Architecture”, Recent Trends in Intelligent Computing, Kalyani, India, pp. 79-85, 2006.
A. Mukhopadhyay, R. K. Roy, U. Maulik and S. Bandyopadhyay, “Multiobjective Genetic Fuzzy Clustering of Microarray Data”, Proc. Int. Conf. CODEC, Kolkata, India, pp. 14-17, 2006.
S. Saha, S. Bandyopadhyay and U. Maulik, “A New Symmetry Based Cluster Validity Index: Application to Satellite Image Segmentation”, Proceedings of the IEEE 9th International Conference on Information Technology, Bhubaneswar, India, pp. 121-124, 2006.
S. Saha, S. Bandyopadhyay and U. Maulik, “A New Symmetry-Based Genetic Clustering Algorithm”, Proceedings of the Third International Conference on Artificial Intelligence In Engineering and Technology, Kotakinabalu, Malaysia, pp. 417-422, 2006.
A. Mukhopadhyay, R. K. Roy and U. Maulik, “Multiobjective Fuzzy Clustering: An Evolutionary Approach”, Recent Trends in Intelligent Computing, Kalyani, India, pp. 139-145, 2006.
A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Efficient Two-stage Fuzzy Clustering of Microarray Gene Expression Data”, 9th International Conference on Information Technology, Bhubaneswar, India, pp. 11-14, 2006.
M. Das and U. Maulik, “An efficient Data Reduction Technique Using Branch and Bound Method of Optimal Feature Selection and Principal Component Analysis”, National Conf. on Recent Trends in Information Systems, Kolkata, India, pp. 49-52, 2006.
U. Maulik and A. Mukhopadhyay and S. Bandyopadhyay, “Efficient Clustering with Multi-class Point Identification”, Proceedings of the Eighth International Conference on Human and Computers, University of Aizu, Japan, pp. 172-177, 2005.
S. Bhattacharyya, P. Dutta and U. Maulik, “Designing Structural Elements of Optimum Size for Morphological Operations on Geometrical Primitives Using Fuzzy Rule Base”, International Workshops on Spatial Issues in Language and Vision, IIT Kanpur, India pp. 55-61, 2005.
S. Bandyopadhyay and U. Maulik, “Segmentation of Brain MR Image Using Self Organizing Maps and Spatial Information”, World Congress on Lateral Computing, Bangalore, India, 2004 (CD Version).
M. K. Pakhira, R. K. De, S. Bandyopadhyay and U. Maulik, “Pipelined Processing of Genetic Clustering”, Proceedings of the International Conference on Intelligence Sensing and Information Processing, Chennai, India, pp. 25-28, 2004.
S. Bhattacharyya, U. Maulik and S. Bandyopadhyay, “A Fuzzy Cardinality Based Approximation for Extracting Multi-scale Objects from Noisy Background Using Selforganizing Neural Network”, International Conference on Communication, Devices and Intelligent Systems, Kolkata, India, pp. 461-464, 2004.
S. Bandyopadhyay and U. Maulik, “Segmentation of Remote Sensing Image Using Evolutionary Fuzzy Clustering”, International Conference on Communication, Devices and Intelligent Systems, Kolkata, India, pp. 492-495, 2004.
U. Maulik, “Pattern Discovery in Graphs: A Hierarchical Approach”, 1st Indian International Conference on Artificial Intelligence, Hyderabad, India, pp. 568-577, 2003.
S. Roy, S. Bandyopadhyay and U. Maulik, “An Evolutionary Approach to Solve the Complex Triangle Elimination (CTE) Problem of VLSI Floor Planning”, 1st Indian International Conference on Artificial Intelligence, Hyderabad, pp. 646-655, 2003.
A. Bagchi, S. Bandyopadhyay and U. Maulik, “Determination of Molecular Structure for Drug Design Using Variable String Length Genetic Algorithm”, Workshop on Soft Computing, High Performance Computing (HiPC), Hyderabad, India, pp. 646-655, 2003.
S. Bhattacharyya, P. Dutta and U. Maulik, “Multi-Scale Object Extraction Using Self- Organizing Neural Network With A Multi-Level Sigmoidal Activation Function”, International Conference on Advances in Pattern Recognition, Indian Statistical Institute, Kolkata, India, pp. 435-438, 2003.
S. Bhattacharyya, P. Dutta and U. Maulik, “Multiple Target Tracking using Self-Organizing Neural Network”, Conference on Recent Trends in Manufacturing, Kalyani, India, pp. 369-376, 2003.
M. K. Pakhira, S. Bandyopadhyay and U. Maulik, “Fuzzy Genetic Clustering for Pixel Classification of Satellite Images”, Proceedings of the IEEE TENCON, pp. 872-876, Bangalore, India, 2003.
S. Roy, U. Maulik and B. K. Sikdar, “Exploiting Ghost-FSM as a BIST Structure for Sequential Machines”, pp. 74-79 IEEE Intl. Conf. VLSI, IEEE Computer Society Press, New Delhi, India, pp. 155-160, 2003.
S. Roy, U. Maulik, S. Bandyopadhyay, S. Basu and B. K. Sikdar, “Efficient BIST Design for Sequential Machines Using FiF-FoF Values in Machine States”, Asia and South Pacific Design Automation Conference (ASP-DAC), ACM Press, Kitakyushu, Japan, pp. 875-878, 2003.
R. Chakraborty, S. Bandyopadhyay and U. Maulik, “Extracting Features for Protein Sequence Classification”, Intl. Conf. on Information Technology: Prospects and Challenges, Kathmandu, Nepal, pp. 265-270, 2003.
U. Maulik, S. Bandyopadhyay and M. K. Pakhira, “Clustering using Annealing Evolution: Application to Classification of Satellite Images”, Indian Conf. on Computer Vision, Graphics and Image Processing, Ahmedabad, India, pp. 347-352, 2002.
S. Bhattacharyya, U. Maulik and S. Bandyopadhyay, “Efficient Object Extraction Using Fuzzy Cardinality Based Thresholding and Hopfield Network”, Indian Conf. on Computer Vision, Graphics and Image Processing, Ahmedabad, India, pp. 371-375, 2002.
S. Bhattacharyya, U. Maulik and S. Bandyopadhyay, “A Tabu Search Approach to Design Optimum Hopfield Networks for Object Extraction Using Fuzzy Cardinality Based Thresholding”, Conference on Fuzzy Set Theory and its Aspects and Applications, Varanasi, India, pp. 104-108, 2002.
S. Bhattacharyya, U. Maulik and S. Bandyopadhyay, “Fuzzy Rule Base Design For Evolving Optimum Structural Element For High Speed Target Tracking Using Self Windowing”, Conference on Fuzzy Set Theory and its aspects and applications, Varanasi, India, pp. 99-103, 2002.
S. Roy, S. Bandyopadhyay and U. Maulik, “Soft Computing Approach to Solve the Weighted Complex-Traingle Elimination (CTE) Problem”, Intl. Conf. Information Technology, Bhubaneswar, India, pp. 155-158, 2002.
S. Bhattacharyya, U. Maulik and S. Bandyopadhyay, “A Fuzzy Approach for Extracting Objects from Noisy Background using Self Organizing Map”, Intl. Conf. Information Technology, Bhubaneswar, India, pp. 285-290, 2002.
S. Roy, S. Bandyopadhyay and U. Maulik, “A Search Scheme to Solve the Complex Triangle Elimination (CTE) Problem for Un-weighted Adjacency Graphs”, VLSI Design and Test Workshop, Bangalore, India, pp. 309-317, 2002.
S. Bandyopadhyay, U. Maulik, D. J. Cook, L. B. Holder and Y. Ajmerwala, “Enhancing Structure Discovery for Data Mining in Graphical Databases Using Evolutionary Programming”, Florida Artificial Intelligence Research Symposium, FLAIRS-2002, Pensacola, Florida, USA, pp. 232-236, 2002.
U. Maulik, S. Bandyopadhyay, and S. K. Das, “Contour Identification of Region of Interest using Evolutionary Snake”, International Conference on Information Technology, Gopalpur, India, pp. 114-119, 2001.
S. Bandyopadhyay, U. Maulik and M. K. Pakhira, “An Efficient Clustering Algorithm Guided by Validity Index”, International Conference on Information Technology, Gopalpur, India, pp. 81-86, 2001.
S. Kumar, U. Maulik, S. Bandyopadhyay and S. K. Das, “Efficient Task Mapping on Distributed Heterogeneous Systems for Mesh Applications”, International Workshop on Distributed Computing, Kolkata, India, pp. 33-40, 2001.
S. Roy, U. Maulik, S. Bandyopadhyay and S. Das, “A Fast Hardware-Software Partitioning Scheme using a Greedy Simulated Annealing Method”, Conference on Intelligent Computing and VLSI, Kalyani, India, pp. 133-137, 2001.
M. K. Pakhira and U. Maulik, “An Automatic Approach to Unsupervised Pattern Classification”, Conference on Intelligent Computing and VLSI, Kalyani, India, pp. 26-31, 2001.
S. Roy, S. Bandyopadhyay, U. Maulik, B. K. Sikdar and S. Chakraborty, “Graph Embedding Approach to Solve the State ssignment Problem of FSM Synthesis”, Conference on Intelligent Computing and VLSI, Kalyani, India, pp. 194-198, 2001.
U. Maulik and S. Bandyopadhyay, “An Efficient Contour Estimation Algorithm”, International Conference on Computers, Communication and Devices, IIT Kharagpur, India, pp. 429-432, 2000.
S. Bandyopadhyay, A. Sowmya and U. Maulik, “Genetic Classifier for Extracting Road Segments”, International Conference on Computers, Communication and Devices, IIT Kharagpur, India, pp. 455-458, 2000.
M. Pakhira, U. Maulik and S. Bandyopadhyay, “Simulated Annealing Based Partitional Clustering”, Advances in Pattern Recognition and Digital Techniques, Indian Statistical Institute, Kolkata, India, pp. 397-400, 1999.
S. Bandyopadhyay and U. Maulik, “A K-Means Type Clustering Using Genetic Algorithms”, Third Annual Conference on Indian Society of Information Theory and Applications and National Symposium on Management Science and Statistics - Applications to Trade and Industry, Amritsar, India, pp. 66-67, 1999.
M. K. Pakhira, U. Maulik and S. Bandyopadhyay, “An Improved Search Strategy for Edge Detection Using Simulated Annealing”, Third Annual Conference on Indian Society of Information Theory and Applications and National Symposium on Management Science and Statistics - Applications to Trade and Industry, Amritsar, India, pp. 67-68, 1999.
P. S. Dasgupta, S. Bhattacharya, D. Pal, S. Pal and U. Maulik, “Complex Triangle elimination problem and its applications to VLSI” Proc. of 3rd VLSI design and Test Workshops, IIT Delhi, India, pp. 32, 1999.
U. Maulik and P. De, “Genetic Search and Networking for Automatic Vehicle Location System in Opencast Mines”, National Conference on Networking of Machines, Microprocessors, IT and HRD Need of the Nation in the next Millennium, Kalyani, India, pp. B76-B83, 1999.
U. Maulik, S. Bandyopadhyay and S. Bhattacharya, “Permutation Mapping with Efficient Fault Tolerant Technique”, 6 th National Seminar on Theoretical Computer Science, Banasthali Vidyapith, Rajasthan, India, pp. 210, August 1996.
U. Maulik, S. Bandyopadhyay and S. Bhattacharyya, “Dynamic mappability in multistage interconnection network”, Int. Conf. on Electronics, Circuit and Systems (ICECS), Amman, Jordan, pp. 36-40, 1995.
U. Maulik, S. Bandyopadhyay and S. Dutta, “Tolerating Stuck at Faults in Non-redundant Multistage Interconnection Network with an Extra Pass”, XXIX Annual Convention CSI, Kolkata, India, pp. 237-242, 1994.
U. Maulik, S. Bandyopadhyay and S. Bhattacharya, “Parallel Detection of Multiple Faults in Redundant Path Multistage Interconnection Network”, 1st Int. Workshop on Parallel Processing, Bangalore, India, pp. 405-410, 1994.
U. Maulik and B. B. Chaudhuri, “Lexical analysis of pronominal ambiguity”, 3rd Int. Conf. on Advances in Pattern Recognition and Digital Techniques, Kolkata, India, pp. 636-643, 1993.
S. Bandyopadhyay, U. Maulik and S. Bhattacharya, “Parallel Detection of Multiple Stuck-at Faults in Non-redundant Multistage Interconnection network”, National System Conf., Kanpur, India, pp. 458-461, 1993.
S. Bandyopadhyay, U. Maulik and S. Bhattacharya, “Detection of Multiple Faults in Non-redundant Multistage Interconnection Network”, Int. Conf. on Parallel and Distributed Systems, Taipei, Taiwan, pp. 482-486, 1993.