91. De, T., Das, A., Kumar, J.: On the prediction of particle collision behaviour in coarse-grained and resolved systems. Accepted for publication in Particulate Science and Technology (2023).

90. Das, A., Paul, J., Heinrich, S., Kumar, J.: Development and analysis of moments preserving finite volume schemes for multi-variate nonlinear breakage model. Accepted for Publication in Proceedings of the Royal Society A (2023).

89. Ghosh, D., Paul, J., Kumar, J.: On equilibrium solution to singular coagulation equation with source and efflux. Journal of Computational and Applied Mathematics (2022).

88. Paul, J., Das, A., Kumar, J.: Moments preserving finite volume approximations for the non-linear collisional fragmentation model. Applied Mathematics and Computation (2022).

87. Sehrawat, P., Sarkar, D., Kumar, J.: Parameter Identification in Population Balance Models Using Uncertainty and Sensitivity Analysis. Industrial & Engineering Chemistry Research (2022).

86. Das, A., De, T., Kaur, G., Dosta, M., Heinrich, M., Kumar, J.: An efficient multiscale bi-directional population balance modelling–discrete element model coupling framework to model one-dimensional aggregation mechanism. Proceedings of the Royal Society A 478 (2022), 2261.

85. De, T., Chakraborty, J., Kumar, J., Tripathi, A., Sen, M., Ketterhagen, W.: A particle location based multi-level coarse-graining technique for Discrete Element Method (DEM) simulation. Powder Technology 398 (2022), 117058.

84. Kumbhakar, M., Mohan, S., Ghoshal, K., Kumar, J., Singh, V.P.: Semi-analytical solution for non-equilibrium suspended sediment transport in open channels with concentration-dependent settling velocity. Journal of Hydrologic Engineering 27 (2022).

83. Roy, N., Dürr R., Bück, A., Kumar, J., Sundar S.: Numerical methods for particle agglomeration and breakage in lid-driven cavity flows at low Reynolds numbers. Mathematics and Computers in Simulation 192 (2022), 33-49.

82. Mohan, S., Kundu, S., Ghoshal, K., Kumar, J.: Numerical study on two dimensional distribution of streamwise velocity in smooth open channel turbulent flows. Archives of Mechanics 73 (2021), 175-200.

81. Das, A., Kumar, J.: Population balance modeling of volume and time dependent spray fluidized bed aggregation kernel using Monte Carlo simulation results. Applied Mathematical Modelling 92 (2021), 748-769.

80. Debnath, S., Ghoshal, K., Kumar, J.: Unsteady two-dimensional suspended sediment transport in open channel flow subject to deposition and re-entrainment. Journal of Engineering Mathematics 126:6 (2021).

79. Das, A., Kumar, J., Dosta M., Heinrich, S.: On the approximate solution and modelling of the kernel of nonlinear breakage population balance equation. SIAM Journal on Scientific Computing 42 (2020), B1570-B1598.

78. Das, A., Dutta S., Sen M., Saxena A., Kumar J., Giri L., Murhammer D.W., Chakraborty J.: A detailed model and Monte Carlo simulation for predicting DIP genome length distribution in baculovirus infection of insect cells. Biotechnology and Bioengineering 118 (2020), 238-252.

77. Das, A., Bhoi, S., Sarkar, D., Kumar, J.: Sonofragmentation of rectangular plate-like crystals: Bivariate population balance modeling and experimental validation. Crystal Growth & Design 20 (2020), 5424-5434.

76. Ghosh, D., Saha, J., Kumar, J.: Existence and uniqueness of steady-state solution to a singular coagulation-fragmentation equation. Journal of Computational and Applied Mathematics 380 (2020), 112992.

75. Kaur, G., Singh, R., Singh, M., Kumar, J., Matsoukas, T.: Reply to Comment on "Analytical approach for solving population balances: a homotopy perturbation method'' J. Phys. A 52 (2019) 385201. Physics A: Mathematical and Theoretical 53 (2020), 388002.

74. Das, A., Bück, A., Kumar, J.: Selection function in breakage processes: PBM and Monte Carlo modeling. Advanced Powder Technology 31 (2020), 1457-1469.

73. Ghosh, D., Kumar, J.: Uniqueness of solutions to the coagulation-fragmentation equation with singular kernel. Japan Journal of Industrial and Applied Mathematics 37 (2020), 487-505.

72. Mohan, S., Kumbhakar, M., Ghoshal, K., Kumar, J.: Semi-analytical solution for one-dimensional unsteady sediment transport model in open channel with concentration-dependent settling velocity. Physica Scripta 95 (2020), 055204.

71. Das, N., Saha, J., Kumar, J.: An application of semigroup theory to the pure fragmentation equation. The Journal of Analysis 28 (2020), 95-106.

70 .Skorych, V., Das, N., Dosta, M., Kumar, J., Heinrich, S.: Application of transformation matrices to the solution of population balance equations. Processes 7 (2019), 535.

69. Kaur, G., Singh, R., Singh, M., Kumar, J., Matsoukas, T.: Analytical approach for solving population balances: a homotopy perturbation method. Journal of Physics A: Mathematical and Theoretical 52 (2019), 385201.

68. Mohan, S., Kumbhakar, M., Ghoshal, K., Kumar, J.: Semi-Analytical Solution for Simultaneous Distribution of Fluid Velocity and Sediment Concentration in Open Channel Flow. Journal of Engineering Mechanics 145 (2019), 04019090.

67. Bhoi, S., Das, A., Kumar, J., Sarkar, D.: Sonofragmentation of two-dimensional plate-like crystals: Experiments and Monte Carlo simulations. Chemical Engineering Science 203 (2019), 12-27.

66. Kaur, G., Singh, M., Matsoukas T., Kumar, J., De Beer, T., Nopens, I.: Two-Compartment Modeling and Dynamics of Top-Sprayed Fluidized Bed Granulator. Applied Mathematical Modelling 68 (2019), 267-280.

65. Kaur, G., Singh, M., Kumar, J., De Beer, T., Nopens, I.: Mathematical Modelling and Simulation of a Spray Fluidized Bed Granulator. Processes 6 (2018), 195.

64. Ghosh, D., Kumar, J.: Existence of mass conserving solution for the coagulation-fragmentation equation with singular kernel. Japan Journal of Industrial and Applied Mathematics 35 (2018), 1283-1302.

63. Kumbhakar, M., Saha, J., Ghoshal, K., Kumar, J., Singh, V.P.: Vertical sediment concentration distribution in high-concentrated flows: An analytical solution using Homotopy Analysis Method. Communications in Theoretical Physics 70 (2018), 367-378.

62. Saha, J., Das, N., Kumar, J., Bück A.: Numerical solutions for multidimensional fragmentation problems using finite volume methods. Kinetic and Related Models 12 (2019), 79-103.

61. Paul, J., Kumar, J.: An existence-uniqueness result for the pure binary collisional breakage equation. Mathematical Methods in the Applied Sciences 41 (2018), 2715-2732.

60. Saha, J., Kumar, J., Heinrich S.: On the approximate solutions of fragmentation equations. Proceedings of the Royal Society A 476 (2018).

59. Singh, M., Kaur, G., Kumar, J., Beer, T., Nopens, I.: A comparative study of numerical approximations for solving Smoluchowski coagulation equation. Brazilian Journal of Chemical Engineering 35 (2018), 1343 - 1354.

58. Singh, R., Das, N., Kumar, J.: The optimal modified variational iteration method for the Lane-Emden equations with Neumann and Robin boundary conditions. The European Physical Journal Plus (2017), 132-251.

57. Kaur, G., Kumar, J., Heinrich, S.: A weighted finite volume scheme for multivariate aggregation population balance equation. Computers & Chemical Engineering 101 (2017), 1- 10.

56. Saha, J., Kumar, J., Heinrich, S.: A volume-consistent discrete formulation of particle breakage equation. Computers & Chemical Engineering 97 (2017), 147-160.

55. Singh, M., Kumar, J., Bück, A., Tsotsas, E: An improved and efficient finite volume scheme for bivariate aggregation population balance equation. Journal of Computational and Applied Mathematics 308 (2016), 83-97.

54. Saha, J., Kumar, J., Bück, A., Tsotsas, E: Finite volume approximations of breakage population balance equation. Chemical Engineering Research and Design, 110 (2016), 114-122.

53. Das, N., Singh, R., Wazwaz A.M., Kumar J.: An algorithm based on the variational iteration techique for the Bratu-type and the Lane-Emden problems. Journal of Mathematical Chemistry 54 (2016), 527-551.

52. Kumar, J., Kaur, G., Tsotsas E.: An accurate and efficient discrete formulation of aggregation population balance equation. Kinetic and Related Models 9 (2016), 373-391.

51. Singh, M., Kumar, J., Bück, A., Tsotsas, E.: A volume consistent discrete formulation of aggregation population balance equations. Mathematical Methods in the Applied Sciences 39 (2016), 2275-2286.

50. Chakraborty, J., Kumar, J., Singh, M., Mahoney, A., Ramkrishna, D.: Inverse problems in population balances. Determination of aggregation kernel by weighted residuals. Industrial & Engineering Chemistry Research 54 (2015), 10530-10538.

49. Saha, J., Kumar, J.: Development of a mass conserving discretization technique for breakage problems and its convergence analysis. International Journal of Advances in Engineering Sciences and Applied Mathematics 7 (2015), 51-61.

48. Kumar, J., Saha, J., Tsotsas, E.: Dovelopment and convergenve analysis of a finite volume scheme for solving breakage equation. SIAM Journal on Numerical Analysis 53 (2015), 1672-1689.

47. Singh, R., Wazwaz, A.M., Kumar, J.: An efficient semi-numerical technique for solving nonlinear singular boundary value problems arising in various physical models. International Journal of Computer Mathematics 93 (2016), 1330-1346.

46. Saha, J., Kumar, J.: The singular coagulation equation with multiple fragmentation. Journal of Applied Mathematics and Physics (ZAMP) 66 (2015), 919-941.

45. Singh, R., Saha, J., Kumar, J.: Adomian decomposition method for solving fragmentation and aggregation population balance equations. Journal of Applied Mathematics and Computing 48 (2015), 265-292.

44. Hussain, M., Kumar, J., Tsotsas, E.: Micro-Macro transition of population balances in fluidized bed granulation. Procedia Engineering 102 (2015), 1399-1407.

43. Hussain, M., Kumar, J., Tsotsas, E.: Modeling aggregation kinetics of fluidized bed spray agglomeration for porous particles. Powder Technology 270, Part B, (2015), 584-591.

42. Hussain, M., Kumar, J., Tsotsas, E.: A new framework for population balance modeling of spray fluidized bed agglomeration. Particuology 19 (2105), 141-154.

41. Singh, R., Nelakanti, G., Kumar, J.: Approximate solution of two-point boundary value problems using Adomian decomposition method with Green's function. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences 85 (2015), 51-61.

40. Kumar, R., Kumar, J., Warnecke, G.: Convergence analysis of a finite volume scheme for solving non-linear aggregation-breakage population balance equations. Kinetic and Related Models (KRM) 7 (2014), 713-737.

39. Singh, R., Nelakanti, G., Kumar, J.: A new efficient technique for solving two-point boundary value problems for integro-differential equations. Journal of Mathematical Chemistry 52 (2014), 2030-2051.

38. Singh, R., Nelakanti, G., Kumar, J.: Approximate series solution of singular boundary value problems with derivative dependence using Green's function technique. Computational and Applied Mathematics 33 (2014), 451-467.

37. Singh, M., Ghosh, D., Kumar, J.: A comparative study of different discretizations for solving bivariate aggregation population balance equation. Applied Mathematics and Computation 234 (2014), 434-451.

36. Singh, R., Kumar, J., Nelakanti, G.: Approximate series solution of fourth-order boundary value problems using decomposition method with Green's function. Journal of Mathematical Chemistry 52 (2014), 1099-1118.

35. Singh, R., Kumar, J., Nelakanti, G.: Approximate series solution of nonlinear singular boundary value problems arising in physiology. The Scientific World Journal 2014 (2014), Article ID 945872.

34. Singh, R., Kumar, J.: An efficient numerical technique for the solution of nonlinear singular boundary value problems. Computer Physics Communications 185 (2014), 1282-1289.

33. Hussain, M., Kumar, J., Tsotsas, E.: Modeling of aggregation kernel using Monte Carlo simulations of spray fluidized bed agglomeration. American Institute of Chemical Engineers (AIChE) Journal 60 (2014), 855-868.

32. Hussain, M., Kumar, J.,Peglow, M., Tsotsas, E.: On two-compartment population balance modeling of spray fluidized bed agglomeration. Computers and Chemical Engineering 61 (2014), 185-202.

31. Singh, R., Nelakanti, G., Kumar, J.: Approximate solution of Urysohn integral equations using the Adomian decomposition method. The Scientific World Journal 2014 (2014), Article ID 150483.

30. Singh, R., Kumar, J.: The Adomian decomposition method with Green's function for solving nonlinear singular boundary value problems. Journal of Applied Mathematics and Computing 44 (2014), 397-416.

29. Narni, N.R., Peglow, M., Warnecke, G., Kumar, J., Heinrich, S., Kuipers, J.A.M.: Modeling of aggregation kernels for fluidized beds using discrete particle model simulations. Particuology 13 (2014), 134-144.

28. Singh, R., Kumar, J.: A population balance model with simultaneous aggregation and breakage for the analysis for the synthesis of Titanium dioxide nano-particles. Indian Journal of Industrial and Applied Mathematics 4 (2013), 71-81.

27. Hussain, M., Kumar, J., Peglow, M., Tsotsas, E.: Modeling spray fludized bed aggregation kinetics on the basis of Monte-Carlo simulation results. Chemical Engineering Science 101 (2013), 35-45.

26. Kumar, J.: Comments on 'Collision Efficiency in a Shear Flow [CES 68 (2012) 305-312]'. Chemical Engineering Science 97 (2013), 309-310.

25. Singh, R., Kumar, J., Nelakanti G.: Numerical solution of singular boundary value problems using Green's function and improved decomposition method. Journal of Applied Mathematics and Computing 43 (2013), 409-425.

24. Singh, R., Kumar, J.: Computation of eigenvalues of singular Sturm-Liouville problems using modified Adomian decomposition method. International Journal of Nonlinear Science (IJNS) 15 (2013) 247-258.

23. Singh, R., Kumar, J.: Solving a class of singular two-point boundary value problems using new modified decomposition method. ISRN Computational Mathematics 2013 (2013), Article ID 262863.

22. Singh, R., Kumar, J., Nelakanti, G.: New approach for solving a class of doubly singular two-point boundary value problems using Adomian decomposition method. Advances in Numerical Analysis 2012 (2012), Article ID 541083.

21. Singh, M., Chakraborty, J., Kumar, J., Ramakanth, R.: Accurate and efficient solution of bivariate population balance equations using unstructured grids. Chemical Engineering Science 93 (2013), 1-10.

20. Kumar, R., Kumar, J.: Numerical simulation and convergence analysis of a finite volume scheme for solving general breakage population balance equations. Applied Mathematics and Computation 219 (2013), 5140-5151.

19. Kumar, R., Kumar, J.,Warnecke, G.: Moment preserving finite volume schemes for solving population balance equations incorporating aggregation, breakage, growth and source terms. Mathematical Models and Methods in Applied Science 23 (2013), 1235-1273.

18. Kumar, R., Kumar, J.: Finite volume scheme for multiple fragmentation equations. International Journal of Numerical Analysis and Modeling, Series B, 3 (2012), 270-284.

17. Bück, A., Klaunick G., Kumar, J., Peglow, M., Tsotsas, E.: Numerical simulation of particulate processes for control and estimation by spectral methods. AIChE Journal 58 (2012), 2309-2319.

16. Kumar, R., Kumar, J., Warnecke, G.: Numerical methods for solving two-dimensional aggregation population balance equations. Computers and Chemical Engineering 35 (2011), 999-1009.

15. Giri, A.K., Kumar, J., Warnecke, G.: The continuous coagulation equation with multiple fragmentations. Journal of Mathematical Analysis and Applications 374 (2011), 71-87.

14. Kumar, J., Warnecke, G.: A note on moment preservation of finite volume schemes for solving growth and aggregation population balance equations. SIAM Journal of Scientific Computing 32 (2010), 703-713.

13. Gokhale, Y.P., Kumar, R., Kumar, J., Hintz, W., Warnecke, G., Tomas, J.: Disintegration process of surface stabilized sol-gel TiO2 nanoparticles by population balances. Chemical Engineering Science 64 (2009), 5302-5307.

12. Kumar, J., Warnecke, G., Peglow, M., Heinrich, S.: Comparison of numerical methods for solving population balance equations incorporating aggregation and breakage. Powder Technology 189 (2009), 218-229.

11. Kumar, J., Warnecke, G.: Convergence analysis of sectional methods for solving breakage population balance equations-I. The fixed pivot technique. Numerische Mathematik (Springer) 111 (2008), 81-108.

10. Kumar, J., Warnecke, G.: Convergence analysis of sectional methods for solving breakage population balance equations-II. The cell average technique. Numerische Mathematik (Springer) 110 (2008), 539-559.

9. Kumar, J., Peglow, M., Warnecke, G., Heinrich, S.: The cell average technique for solving multi-dimensional aggregation population balance equation. Computers and Chemical Engineering 32 (2008), 1810-1830.

8. Kumar, J., Peglow, M., Warnecke, G., Heinrich, S.: An efficient numerical technique for solving population balance equation involving aggregation, breakage, growth and nucleation. Powder Technology 182 (2008), 81-104.

7. Peglow, M., Kumar, J., Hampel, R., Tsotsas, E., Heinrich, S.: Towards a complete population balance model for fluidized bed spray agglomeration. Drying Technology 25 (2007), 1321-1329.

6. Peglow, M., Kumar, J., Heinrich, S., Warnecke, G., Mörl, L., Wolf, B.: A generic population balance model for simultaneous agglomeration and drying in fluidized beds. Chemical. Engineering. Science 62 (2007), 513-532, special issue: Applications of fluidization.

5. Peglow, M., Kumar, J., Warnecke, G., Heinrich, S., Tsotsas, E., Mörl, L., Hounslow, M.: An improved discretized tracer mass distribution of Hounslow et al. AIChE Journal 52 (2006), 1326-1332.

4. Kumar, J., Peglow, M., Warnecke, G., Heinrich, S., Mörl, L.: Improved accuracy and convergence of discretized population balances for aggregation: The cell average technique. Chemical Engineering Science 61 (2006), 3327-3342.

3. Peglow, M., Kumar, J., Warnecke, G., Heinrich, S., Mörl, L.: A new technique to determine rate constants for growth and agglomeration with size and time dependent nuclei formation. Chemical Engineering Science 61 (2006), 282-292.

2. Kumar, J., Peglow, M., Warnecke, G., Heinrich, S., Mörl, L.: A discretized model for tracer population balance equation: Improved accuracy and convergence. Computers and Chemical Engineering 30 (2006), 1278-1292.

1. Peglow, M., Kumar, J., Mörl, L.: Investigation of coalescence kinetics of microcristalline cellulose in fluidized bed spray agglomeration- experimental studies and modelling approach. Brazilian Journal of Chemical Engineering 22 (2005), 165-172.

8. Das, A., Kumar, J.: Mathematical Modeling of Different Breakage PBE Kernels Using Monte Carlo Simulation Results In: Optimization of Pharmaceutical Processes(Eds.: Fytopoulos, A., Ramachandran, R., Pardalos, P.M.), Springer Optimization and Its Applications, Volume 189, 2022, ISBN 978-3-030-90924-6

7. Bhattacharyya, S., Kumar, J., Ghoshal, K., Eds: Mathematical Modeling and Computational Tools. Springer Proceedings in Mathematics & Statistics, Volume 320, 2020, ISBN 978-981-15-3614-4

6. Ghosh, D., Kumar, J.: Uniqueness and Asymptotic Behavior of the Solutions to a Singular Coagulation-Fragmentation Equation. In: Mathematical Modeling and Computational Tools (Eds.: Bhattacharyya, S., Kumar, J., Ghoshal, K.), Springer Proceedings in Mathematics & Statistics, Volume 320, 2020, ISBN 978-981-15-3614-4

5. Mohan, S., Debnath, S., Ghoshal, K., Kumar, J.: Distribution of Two-Dimensional Unsteady Sediment Concentration in an Open Channel Flow. In: Mathematical Modeling and Computational Tools (Eds.: Bhattacharyya, S., Kumar, J., Ghoshal, K.), Springer Proceedings in Mathematics & Statistics 320, 2020, ISBN 978-981-15-3614-4

4. Ghosh, D., Kumar, J.: Existence of equilibrium solution of the coagulation-fragmentation equation with linear fragmentation kernel. In: Mathematics and Computing (Eds.: Ghosh, D., Giri, D., Mohapatra, R.N., Sakurai, K., Savas, E., Som, T.), Springer Proceedings in Mathematics & Statistics 253, 2018, ISBN 978-981-13-2094-1

3. Kumar, J., Peglow, M., Heinrich, S., Warnecke, G., Tsotsas, E., Hounslow, M.J.: Numerical Methods for Solving Population Balances. In: Modern Drying Technology, Volume 1: Computational Tools at Different Scales (Eds.: Tsotsas, E.; Mujumdar, A.S.), WILEY-VCH, 2011, pages 57, ISBN 978-3-527-31556-7

2. Gokhale, Y.P., Kumar, J., Hintz W., Warnecke G., Tomas, J.: A Note on Sectional and Finite Volume Methods for Solving Population Balance Equations. In: Micro-Macro-Interactions in Structured Media and Particle Systems (Eds.: Bertram A., Tomas J.), Springer-Verlag Berlin Heidelberg, 2008, pages 11, ISBN 978-3-540-85714-3

1. Gokhale, Y.P., Kumar, J., Hintz W., Warnecke G., Tomas, J.: Population Balance Modelling for Agglomeration and Disintegration of Nanoparticles. In: Micro-Macro-Interactions in Structured Media and Particle Systems (Eds.: Bertram A., Tomas J.), Springer-Verlag Berlin Heidelberg, 2008, pages 11, ISBN 978-3-540-85714-3

3. Narni, N.R., Warnecke, G., Kumar, J., Peglow, M., Heinrich S.: Some modeling aspects of aggregation kernels and aggregation population balance equations. In: Mathew J., Patra P., Pradhan D.K., Kuttyamma A.J. (Eds) Eco-friendly Computing and Communication Systems(ICECCS 2012). Communications in Computer and Information Science, vol 305. Springer, Berlin, Heidelberg.

2. Singh, M., Kumar, J., Bueck, A.: A volume conserving discrete formulation of aggregation population balance equation on non-uniform meshes. IFAC-PapersOnLine 48 (2015), 192-197, 8th Vienna International Conference on Mathematical Modelling, MATHMOD 2015; Vienna; Austria, February 18-20, 2015

1. Kumar, J., Warnecke, G.: A numerical scheme for solving coagulation-fragmentation equations. AIP Conference Proceedings 1048 (2008), 931-934, International Conference on Numerical Analysis and Applied Mathematics, September 16-20, 2008, Kos, Greece

13. Kaur, G., Singh, M., Matsoukas, T., Kumar, J., Beer, T.D., Nopens, I.: Modeling and simulation of spray fluidized bed granulator. Proceedings of the 6th International Conference on Population Balance Modelling, 7-9th May 2018, Ghent, Belgium.

12. Saha, J., Kumar, J., Bueck, A., Tsotsas, E.: Finite Volume Approximations of Population Balance Equations. Proceedings of the 7th International Granulation Conference, 1.-3. July 2015, Sheffield/UK.

11. Hussain, M., Kumar, J., Tsotsas, E.: A new approach in population balance modeling of spray fluidized bed agglomeration. Proceedings of the 7th World Congress on Particle Technology,19-22nd May 2014, Beijing, China.

10. Hussain, M., Kumar, J., Peglow, M., Tsotsas, E.: Modeling the effect of influencing parameters in a spray fluidized bed granulation. Proceedings of the 5th International Conference on Population Balance Modelling, 11-13th September 2013, Bangalore, India.

9. Hussain, M., Kumar, J., Peglow, M., Tsotsas, E.: Simulating the spray fluidized bed granulation by modeling the aggregation efficiency. Proceedings of the 6th International Granulation Conference, 26-28th June 2013, Sheffield, U.K.

8. Hussain, M., Kumar, J., Peglow, M., Tsotsas, E.: Modeling the effect of process parameters in aggregation kernel of PBE using Monte-Carlo simulations. Proceedings of the 18th International Drying Symposium, 11-15th November 2012, Xiamen, China.

7. Hampel, R., Peglow, M., Kumar, J., Tsotsas, E., Heinrich, S.: Study of agglomeration kinetics in fluidized beds referring to the moisture content of particles. Proceedings of 3rd International Conference on Population Balance Modelling, September 19-21, 2007, Quebec City - Canada, 8 pages.

6. Narni, N.R., Warnecke, G., Kumar, J., Peglow, M., Heinrich, S.: Population balance modelling using discrete particle method. Workshop: Micro-macro interactions in structured media and particle systems, November 24-25, 2006, Helmstedt. Proceedings DFG-Graduiertenkolleg 828, Otto-von-Guericke University Magdeburg, Germany, 2006, 5 pages.

5. Peglow, M., Kumar, J., Tsotsas, E., Heinrich, S., Warnecke, G., Mörl, L.: A population balance modelling for simultaneous drying and agglomeration. Proceedings of the 15th International Drying Symposium (IDS'2006), Budapest, Hungary, August 20-23, 2006, 8 pages.

4. Link, J.M., Godlieb, W., Tripp, P., Deen, N.G., Heinrich, S., Peglow, M., Kumar, J., Kuipers, J.A.M., Schoenherr, M., Mörl, L.: Comparison of fibre optical measurements and discrete element simulations for the study of granulation in a spout fluidized bed. Proceedings of the 5th World Congress on Particle Technology, Orlando/Florida, USA, April 23-27, 2006, 8 pages, Fluidization and Multiphase Flow/Separations, Session 260 - Fundamentals of Fluidization and Fluid Particle Systems - IV.

3. Kumar, J., Peglow, M., Warnecke, G., Heinrich, S., Tsotsas, E., Mörl, L.: Numerical solutions of a two-dimensional population balance equation for aggregation. Proceedings of the 5th World Congress on Particle Technology, Orlando/Florida, USA, April 23-27, 2006, 10 pages, Particle Design: Formation and Processing, Session 155 - Modelling of Particle Formation Processes - I.

2. Peglow, M., Kumar, J., Heinrich, S., Tsotsas, E., Warnecke, G., Mörl, L.: A novel multi-dimensional population balance modelling incorporating particle size enlargement and drying behaviour for fluidized bed spray granulation. Proceedings of the 5th World Congress on Particle Technology, Orlando/Florida, USA, April 23-27, 2006, 10 pages, WCPT5 Tutorials, Session 70: Poster Session.

1. Peglow, M., Kumar, J., Mörl, L.: Investigation of coalescence kinetics of microcrystalline cellulose in fluidized bed spray agglomeration- experimental studies and modelling approach. Proceedings of the 14th International Drying Symposium (IDS 2004), Sao Paulo, Brazil, August 22-25, 2004, vol. A, pp. 485 - 492, ISBN 85-904573-1-1.