Academic Profile :

​QUALIFICATION (Academic):

• Doctor of Philosophy (Engineering) from IIEST (erstwhile BESU), Shibpur
• M. Tech (Quality, Reliability & Operation Research) with Grade "A" (Hons.) from ISI
• M. Stat (SQC & OR specialization) with 1^st Division from ISI
• B. Sc (Math. Hons.) with 1^st Class from Calcutta University
• Higher Secondary from WBBHSE with 1^st Division
• Madhyamik from WBBSE with 1^st Division

​QUALIFICATION (Professional): 

• Lead Assessor in context with ISO 9000 Quality Management System

Visiting Scientist :

Academic Institute: Iowa State University, Ames, IOWA, USA

Period: May 11 - August 07, 2010                                                                                                                                                                                                                                                 

Research topic: Materials Informatics for ABO₃ type Perovskite Compounds                                                                                                                                                                                                        Design of materials through traditional exhaustive experimentation and knowledge extraction for development of theory is expensive and time consuming. A process called ‘materials informatics’ allows a designer to review complex, multiscale information in a high-throughput, statistically robust, and yet physically meaningful manner. The content of the research work was limited to development of computational methodologies in materials science and engineering with the help of data mining techniques which are blend of statistics, machine learning and artificial intelligence, designed for pattern recognition and prediction through the extraction of knowledge from the data. Three studies on ABO₃ type Perovskite compounds were carried out so far to address new ways of integrating computational materials science models related to formability and piezoelectric properties with the help of data mining/statistical learning methods to develop predictive models and search for feature selection/extraction for the design of new, chemically complex compounds.

Visits Abroad :

• Bali, Indonesia for presenting a paper in the 3^rd Asia Pacific Management Research Conference, Nov 13-15, 2019
• Athens, Greece for presenting a paper in the International conference on Mathematics, Statistics and Education, June 11-14, 2012
• Kuala Lumpur, Malaysia for chairing a session in the International conference IEOM-2011, January 20-25, 2011.
• Iowa State University, Ames, Iowa, USA as a Visiting Scientist during 11^th May to 7^th Aug, 2010.
• Warsaw University of Technology, Poland for presenting a paper in the International symposium GAMS-2007, September 17-21, 2007.
• Suntec City, Singapore for presenting a paper in the International conference MASM-05, October 6-7, 2005.
• National University of Singapore, Singapore for an academic interaction on lean production and six sigma, & soft computing methodologies in Indian industries, October, 2005.
• Dhaka, Bangladesh for providing consultancy services at Shinepuker Ceramics Limited as a part of externally funded project of ISI, 2001-’02.
• Rajsahi, Bangladesh for presenting a paper in the International seminar on recent advances in statistics and its application, May, 1998.
• Sydney, Australia for presenting a paper in the International congress SISC-1996, July 8-12, 1996.

Consultancy and Training :

Funding Organization:

• National Rural Health Mission (NRHM), Govt. of W.B.
• Food Corporation of India (FCI)
• National Aluminum Company Limited (NALCO)
• ORG MARG Pvt. Ltd.
• Indian Tobacco Company Pvt. Ltd. (ITC)
• Broadcast Audience Research Council (BARC)
• Naval Armament Inspectorate (NAI)
• Tata Steel Limited (TSL)
• Durgapur Steel Plant(DSP)
• Usha Alloys Steel Division (UASD)
• Indian Charge Chrome Limited (ICCL)
• Indian Metals & Ferro Alloys Limited (IMFA)
• Berger Paints
• Peerless Hospital
• Tata Communications (VSNL)
• Khadim’s India Ltd.
• JayaShree Textiles (JST)
• Britannia Industries Ltd. (BIL)
• Manna Foods Pvt. Ltd. (MFPL)
• Sunrise Biscuit Company Pvt. Ltd. (SBCPL)
• Pragma Apparels Pvt. Ltd. (PAPL)
• Usha Sewing M/c. Works (USMW)
• Orissa Cement Limited (OCL)
• Eastern Spinning Mills (ESM)
• Nuasahi Chromite Mines (NCM)
• East India Pharmaceutical Works Limited (EIPWL)
• Indian Explosives Limited (IEL)
• Shinepukur Ceramics Ltd. (SCL), Bangladesh
• Oman Trading Establishment (OTE), OMAN

Principal Investigator :

A. For Internally Funded Projects:

B. For Externally Funded Projects:....coming soon

C. For North-East Projects:

• Assam [Guwahati (4) - 2001, 2003, 2016; Dibrugarh (2) - 2004, 2007; Karimganj (1) - 2006; Golaghat (1) - 2012; Silchar (3) - 2012, 2013, 2022; Kaziranga (1) - 2015; Tezpur (1) - 2018]
• Meghalaya [Shillong (1) - 2005]
• Manipur [Imphal (1) - 2008]
• Nagaland [Kohima (1) - 2008]
• Mizoram [Aizawl (1) - 2008]
• Arunachal [Itanagar (1) - 2010]
• Tripura [Agartala (1) - 2015]
• Sikkim [Majhitar (1) - 2016, Gangtok (1) - 2016]

Publications :

[Citations: 1137; h-index: 17; i10-index: 30]

Refereed Journals:

1. S. Karmakar and P. Das, An economic production quantity model with refurbishment policy in dual-channel logistics, Journal of Cleaner Production, 377, https://doi.org/10.1016/j.jclepro.2022.134201, Sep 2022
2. S. Jha, P. Das, S. Bandyopadhyay and S. Treanta, Well-posedness for multi-time variational inequality problems via monotonicity and for variational problems with multi-time variational inequality constraints, Journal of Computational and Applied Mathematics, 407, https://doi.org/10.1016/j.cam.2021.114033, June 2022
3. S. Jha, P. Das and S. Bandyopadhyay, Characterization of LU-efficiency and saddle-point criteria for F-approximated multiobjective interval-valued variational problems, Results in Control and Optimizaton, (Online), DOI: https://doi.org/10.1016/j.rico.2021.100044, August 2021
4. S. Jha, P. Das and S. Bandyopadhyay, Multitime multiobjective variational problems via η-approximation method, Yugoslav Journal of Operations Research, (Online), ISSN 2334-6043. DOI: https://doi.org/10.2298/YJOR2011, June 2021
5. S. Roy, S. Bhattacharya, P. Das, Learning clusters, MOOCs, free videos and organization learning: a case study from Indian SMEs, Development and Learning in Organizations: ISSN: 1477-7282, 34, 1, 16-20, 2020
6. S. Jha, P. Das and T. Antczake, Exponential type duality for η-approximated variational problems, Yugoslav Journal of Operations Research, 30, 1, 19-43, 2020
7. S. Roy, S. Bhattacharya, P. Das, Learning clusters, MOOCs, free videos and organization learning: a case study from Indian SMEs, Development and Learning in Organizations: ISSN: 1477-7282, 34, 1, 16-20, 2020
8. S. Amed, S. Mukherjee, P. Das, B. Datta, Triggers of positive eWOM: exploration with web analytics, Marketing Intelligence & Planning, 37, 4, 433-450, 2019
9. P. Manna, M.Z. Anis, P. Das, S. Banerjee, Probabilistic Modeling of Flood Hazard and its Risk Assessment for Eastern Region, Risk Analysis, 39, 7, 1615-1633, 2019
10. P. Das, S.K. Gauri, A. Das, D. Chatterjee, Modeling HSLA Steel Product Quality under Multi-Stage Manufacturing Set Up using Multi-Block Partial Least Square Regression, Int. J. of Productivity and Quality Management, 27, 2, 177-195, 2019
11. S. Chakraborty, P. Das, K. N. Kumar, P. Chattopadhyay, S. Datta, MCDM towards knowledge incorporation in ANN models for phase transformation in continuous cooling of steel, Multidiscipline Modeling in Materials and Structures, 15, 1, 170-186, 2019
12. A. K. Mollah, S. Sadhukhan, P. Das and Md. Z. Anis, A Cost Optimization Model and Solutions for Shelter Allocation and Relief Distribution in Flood Scenario, Int. J. of Disaster Risk Reduction 31, 1187-1198, Oct 2018
13. A. Paul, A. Gangopadhyay, A. R. Chintha, D. P. Mukherjee,  P. Das,  S. Kundu, Calculation of Phase Fraction in Steel Microstructure Images Using Random Forest Classifier, IET Image Processing , 12, 8, 1370-1377, Aug 2018.
14. A. Paul, D. P. Mukherjee,  P. Das,  A. Ganguly, A. R. Chintha, S. Kundu, Improved Random Forest for Classification, IEEE Transactions on Image Processing, 27, 8, 4012-4024, Aug 2018
15. S. Roy, S. Bhattacharya, P. Das, Learning nuggets, personalized eLearning (PeL) and product training for professionals with niche skills: a case study from India, Development and Learning in Organizations: An International Journal, 32, 4, 18-21, 2018
16. S. Saha, S. Sekhar, S. Sadhukhan, P. Das, An Analytics Dashboard Visualization for Flood Decision Support System, Journal of Visualization, 21, 2, 295–307, April 2018
17. P. Das, Design of near-optimal irregular fractional plans satisfying multi-optimality criteria, Journal of Industrial and Production Engineering, 35, 1, 41-47, 2018
18. I. Mohanty, P. Das, D. Bhattacharjee and S. Datta, In Search of the Attributes Responsible for Sliver Formation in Cold Rolled Steel Sheets, J. Inst. Eng. India Ser. D, 98, 1, 59–70, 2017
19. S. K. Gauri and  P. Das, A framework for performance evaluation and monitoring of public health program using composite performance index, Int. J. for Quality Research, 11, 4, 817-834, 2017
20. P. Das and S. Mukherjee, Improvement in higher education quality of the North-East University of India, Total Quality Management & Business Excellence, 28, 7, 765 –781,2017
21. S. Mukherjee and P. Das, Designing a Fuzzy Approach for Modeling the Performance Evaluation of Education Service Providers, Int. J. of Services and Operations Management, 26, 1, 49-67, 2017
22. P. Das, S. Mukherjee and S. Dutta Roy, Assessment of quality of higher education in hostile environment: an analysis on provincialised colleges under Assam University Silchar, Quality in Higher Education, 22, 1, 36-48, 2016
23. P. Das and S. Mondal, Optimum Formulation of Cathode Mix for a Multi-Response Set-up using Design Optimality Criteria, Int. J. Experimental Design and Process Optimization, 4,2, 143-165, 2014
24. P. Das and D. Bose, Design of controller for mixed data type – a composite fuzzy-neural approach, Journal of Engineering Science and Technology, 1-11, 2014
25. P. Das, F. Pettersson and S. Dutta, Pruned-bimodular neural networks for modeling of strength-ductility balance of HSLA steel plates, Int. J. Artificial Intelligence and Soft Computing, 4, 4, 354-372, 2014
26. S. Mukherjee and P. Das, Criteria for customer agglomeration for a new footwear retail: a case study of a regional footwear brand in India, Int. J. Business Excellence,7,5, 626-645, 201
27. 23. P. Das, A. Ghosh, B.K. Bhattacharyay and S. Datta, New approach for feature selection of thermomechanically processed HSLA steel using pruned-modular neural networks, J. Inst. Eng. India Ser. D, 93, 2, 73-86, 2012–13
28. S. Ray and P. Das and B.K. Bhattacharyay,  Success factors characterization towards Six Sigma Implementation in Indian Industries, Int. J. of Six Sigma and Competitive Advantage, 7, 2/3/4, 181-208, 2012
29. S. Ray, P. Das, B.K. Bhattacharyay and J. Antony,  Measuring Six-Sigma Project Effectiveness using Fuzzy Approach, Quality Reliability Engineering International, 93, 2, 73-86, 2012
30. S. Mondal and P. Das, A distance function approach to multi-response optimization in determining optimal factor setting, Int. J. of Productivity and Quality Management, 10, 4, 498-513, 2012
31. P. Das and A. Gupta, Molding a solution: How Six sigma enhanced product performance at an Indian foundry, Six Sigma Forum Magazine, 9-16, Aug 2012
32. M. Kumar and P. Das, Fuzzy-distance function approach for multiple criteria decision making, Int. J. for Quality Research, 6, 2, 119-124, 2012
33. P. Das and S. Datta, Developing an unsupervised classification algorithm for characterization of steel properties, Int. J. of Quality and Reliability Management, 29, 4, 368-383, 2012
34. I. Banerjee and P. Das, Group technology based adaptive cell formation using predator–prey genetic algorithm, Applied Soft Computing, 12, 1, 559-572, Jan 2012
35. S. Ray and P. Das, Quality improvement initiatives for support functions in an industry: two cases, Int. J. for Quality Research, 5, 3, 169-177, 2011
36. P. Das and I. Banerjee. Performance assessment of control chart pattern recognition features in presence of auxiliary randomness and the effect of window length, Int. J. of Production and Quality Engineering, 2, 1, 9-14, 2011
37. S. Ray, P Das and B. K. Bhattacharya, Prevention of Industrial Accidents using Six Sigma Approach, Int. J. of Lean Six Sigma, 2, 3, 196-214, 2011
38. N. Das, A. Ghosh and P. Das. Mining Association Rules to Evaluate Consumer Perception: A New FP-Tree Approach, Int. J. for Quality Research, 5, 2, 89-101, 2011
39. S. Ray and P. Das. Improve Machining Process Capability by Using Six-Sigma, Int. J. for Quality Research, 5, 2, 109-121, 2011
40. S. Bera and P. Das. An Attempt to Modeling Rule Base Real Time Web Funnel Structure, Journal of Business & Retail Management Research, 5, 2, 31-42, 2011
41. P. Das and I. Banerjee. An hybrid detection system of control chart patterns using cascaded SVM and neural network based detector, Neural Computing and Applications, 20, 2, 287-296, 2011
42. P. Das. Selection of Business Strategies for Quality Improvement using Fuzzy Analytical Hierarchy Process, Int. J. for Quality Research, 4, 4, 283-289, 2010
43. S. Ray and P. Das, Six-Sigma Project Selection Methodology, Int. J. of Lean Six Sigma, 1, 4, 293-309, 2010
44. P. Das and S. Datta. A statistical concept in determination of threshold value for future diagnosis in MTS: an alternative to Taguchi’s loss function approach, Int. J. for Quality Research, 4, 2, 95-103, 2010
45. P. Das. Hybridization of artificial neural network using desirability functions for process optimizations, Int. J. for Quality Research, 4, 1, 37-50, 2010
46. P. Das. An integrated approach for modelling of multivariate data based on statistical principles and neural networks, Int. J. of Artificial Intelligence and Soft Computing, 2, 1/2, 132-143, 2010
47. P. Das, S. Hossain and A. Gupta. A meta-heuristic approach for car allocation problem to minimizing transportation cost over a fixed number of routes, Int. J. of Data Analysis Techniques and Strategies, 2, 1, 85-102, 2010
48. P. Das, S. Datta and B. K. Bhattacharyay. Classifying tensile strength of HSLA steel - an investigation through neural networks using Mahalanobis distance, Int. J. of Mechatronics and Manufacturing Systems, 30, 1/2, 97-115, 2010
49. P. Das. In search of best alternatives - A TOPSIS driven MCDM procedure for neural network modeling, Neural Computing and Applications, 19, 1, 91-102, 2010
50. P. Das and S. Sengupta. Composite desirability index in cases of negative and zero desirability, Journal of Management Research, 10, 1, 25-38, 2010
51. P. Das and A. Ghosh. Modeling the behaviour of congenital anomalies diagnosed through prenatal USG based on risk factors, Journal of Scientific and Industrial Research, 68, 12, 1026-1034, 2009
52. P. Das. Focus on improvement of casting quality using statistical principles, Indian Foundry Journal, 55, 10, 38-50, 2009
53. P. Das, A.K. Das and S. Hossain. Forecasting models for developing control scheme to improve furnace run length, Journal of Applied Statistics, 30, 9, 1009-1019, 2009
54. S. Ray and P. Das. Improving efficiency and effectiveness of APQP process by using DFSS tools, Int. J. of Six Sigma and Competitive Advantage, 5, 3, 222-236, 2009
55. P. Das and S. Roy. Reducing defect generations in e-learning business: a six sigma approach, Int. J. of Six Sigma and Competitive Advantage, 5, 2, 113-126, 2009
56. P. Das. Adaptation of fuzzy reasoning and rule generation for customers’ choice in retail FMCG business, Journal of Management Research, 9, 1, 15-26, 2009
57. P. Das and S. Mukherjee. An unsupervised classification scheme for multi-class problems including feature selection based on MTS philosophy, Int. J. of Industrial and Systems Engineering, 4, 6, 665-682, 2009
58. P. Das, S. Mukherjee, S. Ganguly, B. K. Bhattacharyay and S. Datta. Genetic algorithm based optimization for multi-physical properties of HSLA steel through hybridization of neural network and desirability function, Computational Materials Science, 45, 1, 104-110, 2009
59. P. Das and S. Choudhury. Optimization of supply chain inventory for multi–retail and multi-item class consumer product problems using genetic algorithm, Int. J. of Productivity and Quality Management, 3, 1, 33-73, 2008
60. P. Das and S. Mukherjee. Modeling of customers’ preferences on product features and comparing the competitors’ performances, Quality Engineering, 20, 1, 53-62, 2008
61. S.K. Neogy, A.K. Das and P. Das. On linear fractional programming problem and its computation using a neural network model, Journal of Mathematical Modelling and Algorithms, 6, 4, 577-590, Dec 2007
62. P. Das. Multi-item inventory problems revisited using genetic algorithm, Int. J. of Management Science, 13, 2, 29-46, 2007
63. P. Das. Development of a process control scheme for reduction in weight variation of capsules, PDA Journal of Pharmaceutical Science & Technology, 61, 3, 194-203, May-June 2007
64. P. Das and S. Bera. Standardization of process norms in Baker’s yeast fermentation through statistical models in comparison to neural network, Journal of Applied Statistics, 34, 5, 511-527, July 2007
65. P. Das, S. Roy and J. Antony. An application of six sigma methodology to reduce lot-to-lot shade variation of linen fabrics, Journal of Industrial Textiles, 36, 3, 227-251, 2007
66. P. Das and S. Datta. Exploring the effects of chemical composition in hot rolled steel product using MD scale under MTS, Computational Materials Science, 38, 4, 671-677, Feb 2007
67. P. Das and S. Datta. Exploring the non-linearity in empirical modeling of a steel system using statistical and neural network models, Int. J. of Production Research, 45, 3, 699-717, Feb 2007
68. P. Das and S. Choudhury. Prediction of retail sales of footwear using feedforward and recurrent neural networks, Neural Computing and Applications, 16, 491-502, Dec 2006
69. P. Das. A statistical thinking perspective through six sigma philosophy for improving health care services, Journal of Management Applications and Sciences, 2, 4, Oct-Dec 2006
70. P. Das, B.K. Bhattacharyya and S. Datta. A comparative study for modeling of hot rolled steel plate classification using a statistical approach and neural-net systems, Materials and Manufacturing Processes, 21, 8, 747-755, Nov-Dec 2006
71. N. Das, S. K. Gauri and P. Das. Six sigma principles in marketing – an application, Int. J. of Six Sigma and Competitive Advantage, 2, 3, 243-262, 2006
72. P. Das and S. Bera. Modeling the shrinkage pattern of single layer synthetic forming fabric to reduce the tight mounting problem: a case study, Indian Pulp & Paper Technical Association Journal, 18, 2, 45-54, Apr-Jun 2006
73. P. Das and S.K. Gauri. Enhancing business growth through increase in consumer focus: a case study, Journal of Quality, http://www.thecqi.org/journalofquality/120.asp, April 2006
74. P. Das. Reduction in delay in procurement of materials using six sigma philosophy, Total Quality Management & Business Excellence, 6, 5, 645-656, July 2005
75. P. Das. Improving the maintenance system of tippers - a case study, Economic Quality Control, 20, 1, 51-67, 2005
76. P. Das. Developing control measures to reduce variation in weight of packed cement bags, Quality Engineering, 17, 4, 609-614, 2005
77. P. Das. A heuristic approach for arrangement of footwear boxes to maximize space utilization and related business issues, Int. J. of Management Science, 11, 2, 61-84, 2005
78. P. Das and S.K. Gauri. Standardisation of flour testing in Alveograph NG, Economic Quality Control, 19, 2, 251-263, 2004
79. D. Chakraborty, S.C, Santra, A.L. Mukherjee, B. Roy and P. Das. Road traffic noise in Calcutta metropolis, India, Indian Journal of Environmental Health, 44, 3, 173-180, July 2002
80. P. Das, S. Sengupta, S. Choudhuri, B. Raichaudhuri and R. Paramanik. Integrated approach to prediction of cervical intra-epithelial neoplasia status through a case-control study, Int. J. of Cancer, 84, 69-73, 1999
81. P. Das. Concurrent optimization of product performance characteristics using multiple desirability functions, Quality Engineering, 11, 3, 365 - 368, Mar 1999
82. P. Das and N. Das. Optimum sampling plan for bulk materials with multi-characteristics, Quality Engineering, 10, 3, 421-425, Mar 1998
83. P. Das and D. Roychouhury. Minimization of loss due to diversion of export grade steel plates, Quality Engineering, 10, 1, 17-23, Sep 1997
84. P. Das, D. Chakrabarty, S. C. Santra, A. Mukherjee and B. Roy. Status of road traffic noise in Calcutta metropolis, India, Journal of Acoustical Society of America, 101, 2, 943-949, Feb 1997

Edited Books:

1. S. Sadhukhan, S. Banerjee, P. Das and A. K. Sangaiah, Producing Better Disaster Management Plan in Post-Disaster Situation Using Social Media Mining, Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications, Academic Press (Elsevier), ISBN: 978-0-12-813314-9, edited by A.K. Sangaiah, M. Sheng and Z. Zhang, Ch.9, 171-184, 23-08-2018
2. I. Banerjee and P. Das, Evolutionary Multi-objective Bacterial Swarm Optimization (MOBSO): A Hybrid Approach, 8^th  International Conference on Simulated Evolution and Learning, December 1-4, 2010, IIT, Kanpur, India, K. Deb et al. (Eds.): SEAL 2010, LNCS 6457, 568–572, 2010. © Springer-Verlag Berlin Heidelberg 2010
3. S.K. Neogy, A.K. Das and P. Das. Complementarity problem involving a vertical block matrix and its solution using neural network model, Statistical Science and Interdisciplinary Research, Mathematical programming and Game Theory for Decision Making, World Scientific, 1, Ch. 8, 113-130, Nov 2007

 

Technical Reports:

1. P. Das. Stochastic Programming Approach for Designing Single Sampling Inspection Plans, No. SQC-OR 1/95, 16.03.1995
2. P. Das and V. Rajendra Prasad, Optimal Cutting Plan of PCBs from Rectangular Laminates, No. SQC-OR 1/96, 11.04.1996

Conference Proceedings/Abstract Volumes:

1. R. Mishra, P. Das and S. Sadhukhan, An Evolutionary Approach for Optimizing Reverse Loh=gistics Network for Third Party Logistics under Uncertainty. OLAB-2022, HITK & ORSI, Dec 2022
2. S. Dey, P. Das, I. Mukherjee. Identification and Classification of Customers’ Digital Inclination through Data Monetization in Retail Banking, 8^th International Conference on Business Analytics and Intelligence, December 20-22, 2021, ICBAI, IIM, Bangalore, India
3. P. Das and S. K. Gauri. (T, R_N,α,p) Inventory Policy for a FMCG Retail Supply Chain, Advances in Economics, Business and Management Research, 149, 1-5, Proceedings of the 3rd Asia Pacific Management Research Conference (APMRC 2019), Bali, Indonesia © Atlantis Press 2020
4. S. Roy, S. Bhattacharya, P. Das: ELEI- metric for measuring e-learning effectiveness, , Quality Festival Conference, May 20 – Jun-2, 2019, Kragujevac, Serbia
5. S. Mukherjee, P. Das and S. Amed. Triggers of Positive Electronic Word of Mouth: Role of Product Type and Product Experience, December 4-6, 2017, ANZMAC 2017, Australia
6. S. Mukherjee and P. Das. Relative Importance of Store Selection Criteria: An Empirical Analysis from an Indian Footwear chain;  Annual Conference 2013 of Emerging Markets Conference Board, July 19-20, 2013, Port Elizabeth, South Africa.
7. P. Das. Quality Improvement of Green Moulding Sand: An Approach using Statistical Experiments and Composite Desirability Function, 6^th Annual International Conference on Mathematics, Statistics and Education (Teaching) Mathematics), June 11-12, 2012, ATINER, Athens, Greece
8. P. Das. Some Issues in Multi-response Optimization: Reviews and Remedies with Applications, National Conference on Modeling, Computational Fluid Dynamics & Operations Research (NCMCOBITS-12), February 4-5, 2012, BITS-Pilani, Pilani, India
9. S. Ray, P Das and B. K. Bhattacharya, Improve Customer Satisfaction Resolution process Using Six Sigma, IEOM-11, January 22-24, 2011, Kuala Lumpur, Malaysia
10. P. Das, S. Datta and B. K. Bhattacharyya.  Classifying tensile strength of HSLA steel - an investigation through neural networks using Mahalanobis distance, NGMS-08, January 9-11, 2008, BESU, Shibpur, India
11. P. Das. Modeling of consumer perception in the supply chain of a FMCG business using fuzzy inference system, ORITSCM-07, September 6-8, 2007, TCE, India
12. P. Das, S. Mukherjee, S. Ganguly, B. K. Bhattacharyay and S. Datta. Genetic algorithm based optimization for multi-physical properties of steel product through hybridization of neural network and desirability function, GAMS-2007, September 17-21, 2007, Warsaw University of Technology, Poland
13. S.K. Neogy, A.K. Das and P. Das. Block matrices and its applications in complementarity and game theory, ISMPDM-07, January 9-11, 2007, ISI, New Delhi, India
14. P. Das, S. Chaudhury, B. K. Bhattacharyya and S. Datta. Efficiency of ANN over MTS in classifying hot rolled steel product using small data, NGMS-06, January 10-13, 2006, BESU, Shibpur, India
15. P. Das. Assessment of healthcare quality in a hospital – a statistical perspective, NCQP-05, February 8-9, 2005, ISI, New Delhi, India
16. P. Das and S. Datta. Performance evaluation to exploring the non-linearity in empirical modeling using statistical methods and neural network models, MASM-05, October 6-7, 2005, Suntec City, Singapore
17. P. Das and S.K. Gauri.  Enhancing business growth by increased consumer focus: a case study, ICQESMS-05, December 15-16, 2005, SCOPE Complex, New Delhi, India
18. P. Das. Study on improvement of availability and utilization of tippers, ICOR-04, January 8-10, 2004, ISI, Kolkata, India
19. P. Das. Reduction in delay in procurement using six sigma philosophy, Six Sigma Conference, February 11-12, 2004, ISI, Bangalore, India
20. P. Das. Stochastic programming approach for designing single sampling inspection plans, International seminar on recent advances in Statistics and its Application, May 1998, Rajsahi University, Bangladesh
21. P. Das. A stochastic approach to optimal production planning under demand and capacity constraints, XXX^th Annual Convention, organized by ORSI, December 22-24, 1997, Jamshedpur, India
22. P. Das, D. Chakrabarty and S.C. Santra. Statistical modules in road traffic noise data analysis, SISC-96, organized by IFNA, INA and SSA, July 8-12, 1996 in Sydney, Australia