Dr. Tamal Ghosh

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.