0000-0001-9101-8051 About
Arpan Pal has more than 30 years of experience in the area of Intelligent Sensing, Signal Processing &AI, Edge Computing and Affective Computing. Currently, as Distinguished Chief Scientist and Research Area Head, Embedded Devices and Intelligent Systems, TCS Research, he is working in the areas of Connected Health, Smart Manufacturing, Smart Retail and Remote Sensing.
He is on the editorial board of notable journals like ACM Transactions on Embedded Systems, Springer Nature Journal on Computer Science and is on the TPC of notable conferences like ICASSP and EUSIPCO. He has filed 180+ patents (out of which 95+ granted in different geographies) and has published 160+ papers and book chapters in reputed conferences and journals. He has also written two complete books on IoT and Digital twins in Manufacturing. He is on the governing/review/advisory board of some of the Indian Government organizations like CSIR, MeitY, Educational Institutions like IIT, IIIT and Technology Incubation centres like TIH.
Prior to joining Tata Consultancy Services (TCS), Arpan had worked for DRDO, India as Scientist for Missile Seeker Systems and in Rebeca Technologies as their Head of Real-time Systems. He is a B.Tech and M. Tech from IIT, Kharagpur, India and PhD. from Aalborg University, Denmark.
Home Page - https://www.tcs.com/embedded-devices-intelligent-systems
Linked In - http://in.linkedin.com/in/arpanpal
Google Scholar - http://scholar.google.co.in/citations?user=hkKS-xsAAAAJ&hl=en
Employment
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Tata Consultancy Services Ltd Distinguished Chief Scientist2002 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (208)
- SIMMAC: SRAM IMC-Based Multibit Multiplication With Analog Carry Computation Save
- Photometric Redshift Estimation Using Scaled Ensemble Learning Save
- Novel Fused Generative Learning for Inverse Design Prediction Save
- DLA-HybridNet: Governance-Aware Edge Segmentation via Hybrid Aggregation Distillation Save
- Synthesis of Ear-EEG from Scalp EEG Using Deep Learning Architectures Save
- Emotion Pattern Recognition of Speech Signals Using Representation Learning with Limited Annotations Save
- GRU-RVCIM: Efficient Implementation of Gated Recurrent Unit in RISC-V - Compute In Memory co-designed for Edge Applications Save
- Diffusion-Based Generative Model for subject-specific Amyloid Spread Prediction Save
- Simultaneous Segmentation and Anatomical Landmark Detection on 3D Data using Context-aware Multi-task Learning Save
- Machine-Learning-Driven Resistive Sensing of Artificial Breath Biomarkers From Lipid Metabolism: A Step Toward Noninvasive Healthcare Save