Dr. Tamal Ghosh

Designation : Associate Professor

Email ID: tamal.ghosh1@adamasuniversity.ac.in

Qualifications:

PhD (Engineering), Jadavpur University, (2011-2017)
M.Tech (Industrial Engineering), West Bengal University of Technology, (2009-2011)
B.Tech (Computer Engineering), National Institute of Technology Calicut, (2000-2004)

Work Experience :

(2005-2009) Worked as an IT faculty at Youth Computer Training Center
(2018-2021) Work as a Postdoctoral Researcher, Norwegian University of Science and Technology
(2021-2023) Worked as a Research Associate, Norwegian University of Science and Technology

Research and Teaching Interests:

Computer Intelligence and Big Data Analytics
Data-Driven Evolutionary and Nature-Inspired Algorithms
Industry 4.0 and Cyber-Physical Systems
Mathematical Modeling and Decision-Support Systems

Honors and Awards:

University Gold Medal, West Bengal University of Technology, 2011
INSPIRE-DST doctoral fellowship, DST, Government of India, 2012
SFI Research Grant, Norwegian University of Science and Technology, 2021

Publications :

SCI:

D Bhattacharjee, T Ghosh, P Bhola, K Martinsen and PK Dan. (2022). “Eco-designing and improving the performance of plugin hybrid electric vehicle in rolling terrain through multi-criteria optimization of powertrain”, Proc IMechE Part D: Journal of Automobile Engineering. Vol. 236, No. 5, pp. 1019-1039, https://doi.org/10.1177/09544070211027531 (IF 1.484) Q2

T Ghosh, K Martinsen. (2021). “A Collaborative Beetle Antennae Search Algorithm Using Memory-Based Adaptive Learning”, Applied Artificial Intelligence, 35(6), pp. 440-475, ISSN: 1087-6545. https://doi.org/10.1080/08839514.2021.1901034 (IF 1.172) Q3
T Ghosh, Y Wang, K Martinsen, K Wang. (2020). “A Surrogate-Assisted Optimization Approach for Multi-Response End Milling of Aluminium Alloy AA3105”, International Journal of Advanced Manufacturing Technology, 111, pp. 2419–2439, ISSN: 02683768 https://doi.org/10.1007/s00170-020-06209-6 (IF 3.226) Q1
T Ghosh, K Martinsen, PK Dan, (2019). “Development and Correlation Analysis of Non-Dominated Sorting Buffalo Optimization NSBUF II Using Taguchi's Design Coupled Gray Relational Analysis and ANN”, Applied Soft Computing, 85, no. 105809. ISSN: 1568-4946. https://doi.org/10.1016/j.asoc.2019.105809 (IF 6.725) ABDC rank C, Q1
D Bhattecharjee, T Ghosh, P Bhola, K Martinsen, PK Dan. (2019). “Data-Driven Surrogate Assisted Evolutionary Optimization of Hybrid Powertrain for Improved Fuel Economy and Performance”, Energy, 183, pp. 235-248. ISSN 0360-5442. https://doi.org/10.1016/j.energy.2019.06.115 (IF 7.147) Q1
T Ghosh, K Martinsen. (2019). “Generalized approach for multi-response machining process optimization using machine learning and evolutionary algorithms”, Engineering Science and Technology, an International Journal, 23(3), pp. 650-663, ISSN 2215-0986. https://doi.org/10.1016/j.jestch.2019.09.003 (IF 4.360) Q1

T Ghosh, K Martinsen, (2019). “CFNN-PSO: An Iterative Predictive Model for Generic Parametric Design of Machining Processes.” Applied Artificial Intelligence, 33(11), pp. 951-978. ISSN: 1087-6545. https://doi.org/10.1080/08839514.2019.1661110 (IF 1.172) Q3
T Ghosh, B Doloi, PK Dan, (2017). “Utilization-based Grouping Efficiency and Multi-Criteria Decision Approach in Designing Manufacturing Cells”, Proc IMechE Part-B: Journal of Engineering Manufacture, 231(3), pp. 505-522. ISSN: 0954-4054. https://doi.org/10.1177/0954405416629583 (IF 2.601) Q1
T Ghosh, B Doloi, PK Dan, (2016). “Applying soft-computing techniques in solving dynamic multi-objective layout problems in cellular manufacturing system”, International Journal of Advanced Manufacturing Technology, 86(1), pp.237-257, ISSN: 0268-3768. https://doi.org/10.1007/s00170-015-8070-6 (IF 3.226) Q1
M Chattopadhyay, S Sengupta, T Ghosh, PK Dan, S Mazumdar, (2013). “Neuro-Genetic Impact on Cell Formation Methods of Cellular Manufacturing System Design: A Quantitative Review and Analysis”, Computers & Industrial Engineering, 64(1), pp. 256–272, ISSN: 0360-8352. https://doi.org/10.1016/j.cie.2012.09.016 (IF 5.431) ABDC rank A, Q1*
S Sengupta, T Ghosh, PK Dan, (2011). “Fuzzy ART K-Means Clustering Technique: a hybrid neural network approach to cellular manufacturing systems”, International Journal of Computer Integrated Manufacturing, 24(10), pp. 927-938, ISSN: 0951-192X. (IF 3.205) https://doi.org/10.1080/0951192X.2011.602362 ABDC rank B, Q1

ESCI/SCIE/SCOPUS/OTHERS:

T Ghosh, (2020). “Optimal Design of Manufacturing Cells Considering Machine Usage Percentage”, Journal of Advanced Manufacturing Systems, 19(3), pp. 411-423, ISSN: 1793-6896. https://doi.org/10.1142/S0219686720500201, Q3

T Ghosh, K Martinsen, (2020). “Deploying NSBA algorithm for Bi-Objective Manufacturing Cells Considering Percentage Utilization of Machines”, International Journal of Intelligent Systems Technologies and Applications, 19(3), pp. 257-279, ISSN: 1740-8865. https://dx.doi.org/10.1504/IJISTA.2020.108082 Q4
T Ghosh, K Martinsen, (2020). “Deep-Learning Assisted Iterative Multi-Objective Optimization of Yarn Production Process”, International Journal of Experimental Design and Process Optimization, 6(3), pp. 234 - 252, ISSN: 2040-2252.
T Ghosh. (2019). “Generalized Utilization-Based Similarity Coefficient for Machine-Part Grouping Problem in Cellular Manufacturing”, Management and Production Engineering Review, 10(4), ISSN: 2080-8208, https://doi.org/10.24425/mper.2019.131449 Q2

T Ghosh, B Doloi, PK Dan, (2016). “An Immune Genetic algorithm for an inter-cell layout problem in cellular manufacturing system”, Production Engineering-Research and Development, 10(2), pp.157-174, ISSN: 09446524. https://doi.org/10.1007/s11740-015-0645-4 Q1
T Ghosh, T Chakraborty, PK Dan, (2012). “An Effective AHP based Metaheuristic Approach to Solve Supplier Selection Problem”, International Journal of Procurement Management, 5(2), pp. 140-159, ISSN: 1753-8432. https://doi.org/10.1504/IJPM.2012.045647 Q2
S Sengupta, T Ghosh, PK Dan, (2011). “A Hybrid Neural Network Approach to Cell Formation in Cellular Manufacturing”, International Journal of Intelligent Systems Technologies and Applications, 10(4), pp. 360-376, ISSN: 1740-8865. https://doi.org/10.1504/IJISTA.2011.045484 Q4
T Ghosh, S Sengupta, M Chattopadhyay, PK Dan, (2011). “Metaheuristics in Cellular Manufacturing: A State-of-the-art Review”, International Journal of Industrial Engineering Computations, 2(1), pp. 87-122, ISSN: 1923-2926. https://doi.org/10.5267/j.ijiec.2010.03.005 Q2
T Ghosh, M Modak and PK Dan. (2011). “SAPFOCS: a metaheuristic-based approach to part family formation problems in group technology”, International Journal of Management Science and Engineering Management, 6(3), pp. 231-240. ISSN 1750-9661. https://doi.org/10.1080/17509653.2011.10671167

T Ghosh, S Sengupta, PK Dan, (2010). “A hybrid heuristic-based clustering algorithm to design manufacturing cell”, Management and Production Engineering Review, 1(4), pp. 26-37. ISSN 2082-1344. Q2
T Chakraborty, T Ghosh, PK Dan, (2010). “Application of analytic hierarchy process and heuristic algorithm in solving vendor selection problem”, Business Intelligence Journal, 4(1), pp. 167-177. ISSN 1918-2333.

Book Chapter:

PK Dan, T Ghosh, S Sengupta, (2012). “Application of Soft-Computing Methods in Cellular Manufacturing”, DP Davim (Ed.), Computational Methods for Optimizing Manufacturing Technology: Models and Techniques, IGI-Global, Hershey, PA, USA, pp. 1-43, 2012, ISBN: 9781466601284.

Conferences:

Published/Peer-reviewed/Presented:

Y Kaushik, T Ghosh, (2022). “PSO-Based Improved Surface Roughness Measuring Approach of Manufactured Product Within CP Factory Using T6 6068 Aluminium”, 7th International Congress on Information and Communication Technology, London, UK, LNNS Springer, pp 163–172.
T Ghosh. (2022). "An Industrial Application of Cellular Manufacturing Using African Buffalo Optimization", IWAMA 2021, Shanghai, China, Lecture Notes in Electrical Engineering (LNEE) Vol. 80, pp. 1-7, Springer.
T Ghosh, K Martinsen. (2020). "NSGA III for CNC End Milling Process Optimization”, SoMMA 2019, Trivandrum, India, Communications in Computer and Information Science, Springer.
B. Chen, K. Wang, X. Gao, Y. Wang, S. Chen, T. Zhang, K. Martinsen, T. Ghosh. (2020). "A New Fault Identification Method Based on Combined Reconstruction Contribution Plot and Structured Residual", IWAMA 2019. Plymouth UK. Lecture Notes in Electrical Engineering. vol. 634.

X. Gao, S. Chen, K. Wang, Y. Wang, W. Xie, J. Yuan, K. Martinsen, T. Ghosh. (2020). "Collaborative Fault Diagnosis Decision Fusion Algorithm Based on Improved DS Evidence Theory", IWAMA 2019. Plymouth, UK. Lecture Notes in Electrical Engineering. vol. 634.
T Ghosh, K Martinsen. (2020). ” Machine Learning-based Heuristic Technique for Multi-Response Machining Process”. IIRTS 15th-18th Oct 2019, Koszalin, Poland, LNME Springer
T Ghosh, K Martinsen, PK Dan. (2019). “Data-Driven Beetle Antennae Search Algorithm for Electrical Power Modeling of a Combined Cycle Power Plant”. WCGO 8th-10th July 2019, Metz, France, AISC 991, pp. 906–915.

Unpublished/Peer-Reviewed/Presented:

D Ghosh, T Ghosh, B Doloi, P Das, (2015). “Optimization of Influential Process Parameters of Abrasive Waterjet Cutting of Glass”, (COPEN-9), IIT Bombay, 10th – 12th December 2015.

T Ghosh, B Doloi, PK Dan, (2014). “A Novel Cell Formation Technique in Cellular Manufacturing System Based on Various Production Factors”, (AIMTDR-2014), IIT Guwahati, India, 12th-14th December 2014.
T Ghosh, PK Dan, (2012). “Modelling of Optimal Design of Manufacturing Cell Layout Considering Material Flow and Closeness Rating Factors (AIMTDR-2012), Jadavpur University, India, 14th-16th December 2012.
S Sengupta, T Ghosh, PK Dan, M Chattopadhyay, (2011). “Hybrid fuzzy-art based k-means clustering methodology to cellular manufacturing using operational time”, (ICOEGC 2011), RVCE Bangalore, India, 3rd–5th February 2011.