Specialization

Edge-AI, Internet of Things, Applied-AI

Email

himanshu.gauttam@thapar.edu

Education
1.    PhD in Information Technology from Atal Bihari Vajpayee Indian Institute of Information Technology and Management, Gwalior                

Title – Towards Efficient Edge Intelligence Framework Design for Smart Manufacturing    
2.    M. Tech. in Information Technology (Advanced Networks) from Atal Bihari Vajpayee Indian Institute of Information Technology and Management, Gwalior.
3.    B. Tech. in Information Technology from Rajasthan Technical University, Kota. 

Trainings
1.    Certifications in various QIPs/FDPs/STC from organizations like IITs, NITs, IIITs etc.
Experience
1.    Assistant Professor, Computer Science and Engineering Department, Thapar University Patiala, India (September 2025 - present)
2.    Post Doctoral Research Fellow, Airbus (Space and Défense), Central Research and Technology, Munich, Germany (September 2024 – August 2025)

Journal publications
1.    H. Gauttam, K. K. Pattanaik, S. Bhadauria, G. Nain, "SCL: A Sustainable Deep Learning Solution for Edge Computing Ecosystem in Smart Manufacturing", Journal of Industrial Information Integration, Vol. 42, 2024. (SCI, Q1, IF: 11.6), DOI: https://doi.org/10.1016/j.jii.2024.100703
2.     H. Gauttam, K. K. Pattanaik, S. Bhadauria, G. Nain, and P. Bhanuprakash, "An efficient DNN splitting scheme for edge-AI enabled smart manufacturing," Journal of Industrial Information Integration, vol. 34, 2023. (SCI, Q1, IF: 11.6), DOI: https://doi.org/10.1016/j.jii.2023.100481

3.    H. Gauttam, K. K. Pattanaik, S. Bhadauria, D. Saxena, and Sapna, "A cost aware topology formation scheme for latency sensitive applications in edge infrastructure-as-a-service paradigm," Journal of Network and Computer Applications, vol. 199, 2022. (SCI, Q1,IF: 7.7), DOI: https://doi.org/10.1016/j.jnca.2021.103303

4.    G. Nain, K. K. Pattanaik, G.K. Sharma, and H. Gauttam, "PackMASNet: An Information Integration Approach for Quality Inspection in Industry 5.0," Expert Systems with Applications, vol. 255, 2024. (SCI, Q1, IF: 7.5 ), DOI: https://doi.org/10.1016/j.eswa.2024.124582

5.    Sapna, A. Trivedi, K. K. Pattanaik, H. Gauttam, and P. Bellavista, "Efficient data harvesting from boundary nodes for smart irrigation," Peer-to-Peer Networking and Applications, Vol. 17, 2023. (SCI, Q2, IF: 3.45), DOI: https://doi.org/10.1007/s12083-023-01577-8

Conference publications
1.    H. Gauttam, K. K. Pattanaik, S. Bhadauria, and G. Nain, "A Data Traffic Remapping Scheme for Delay Sensitive Industrial Applications," 2022 IEEE Region 10 Conference (TENCON), 2022. DOI: https://doi.org/10.1109/TENCON55691.2022.9977628

2.    H. Gauttam, K. K. Pattanaik, S. Bhadauria, and G. Nain, "Bayesian Network based Reliability Analysis in Edge Computing enabled Machine Vision System," 2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), 2022. DOI: https://doi.org/10.1109/IATMSI56455.2022.10119369

3.    G. Nain, K. K. Pattanaik, G. K. Sharma, H. Gauttam andW. Viriyasitavat, "A Novel Mechanism for Continual Learning based Predictive Quality Inspection in Smart Manufacturing," 2023 IEEE Region 10 Conference (TENCON), 2023. DOI: https://doi.org/10.1109/TENCON58879.2023.10322423

Book Chapter publication
Peer reviewer for Journals
●    Springer, Elsevier, IEEE
Honours and Achievements
●    Post doctoral fellow at Airbus 
●    Qualified Graduate Aptitude Test in Engineering (GATE) 2015, 2016