Santos Kumar Das | Internet of Things | Excellence in Innovation

Dr. Santos Kumar Das, Internet of Things , Excellence in Innovation

Doctorate at National Institite of Technology Rourkela, India

Professional Profile

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๐ŸŒŸSummary

Dr. Santos Kumar Das is an Associate Professor at the Department of Electronics & Communication Engineering, National Institute of Technology Rourkela, India. He holds a PhD in Communication Network from NIT Rourkela, and his research interests span AI, IoT, Sensor Networking, and Optical Networking (including LiFi, FSO, SDN). With a robust academic background and extensive professional experience both in academia and industry, Dr. Das has contributed significantly to research, education, and professional service in his field.

๐ŸŽ“ย Education

  • PhD: Communication Network, NIT Rourkela, India, 2014
  • M.S: Electrical Communication Engineering, IISc Bangalore, India, 2002
  • B.E: Electronics and Communication, VSSUT (Formerly UCE), Burla, India, 1998

๐Ÿ’ผ Professional Experience

Dr. Santos Kumar Das brings a wealth of diverse professional experience spanning both industry and academia. He began his career as a Research Engineer at A-Star Singapore, contributing to research and development initiatives in collaboration with prominent institutions. His subsequent roles as a Software Integration Engineer at Motorola Electronics Pvt. Ltd. and as a Senior Software Engineer at companies like Palvision and ITXpress/Xpress Distribution in Singapore provided him with extensive expertise in software development and integration within dynamic technological environments.

Transitioning to academia, Dr. Das served as a Lecturer at VSSUT Burla before joining the National Institute of Technology Rourkela (NIT Rourkela), where he currently holds the position of Associate Professor. At NIT Rourkela, he has significantly contributed to the field of Electronics & Communication Engineering, supervising numerous PhD, M.Tech, and B.Tech students. His academic leadership also includes roles such as Lab In-Charge and Faculty Advisor, where he has overseen various research and educational initiatives.

Dr. Das’s professional journey is marked by a strong commitment to research and innovation, evident through his prolific publication record and involvement in prestigious conferences and workshops globally. His multifaceted experience blends seamlessly with his research interests in AI, IoT, Sensor Networking, and Optical Networking, positioning him as a respected figure in the field.

๐Ÿ”ฌย Research Interests

Dr. Santos Kumar Das is deeply engaged in research at the intersection of cutting-edge technologies in the fields of Artificial Intelligence (AI), Internet of Things (IoT), Sensor Networking, and Optical Networking. His research endeavors encompass a wide spectrum of applications and theoretical advancements, focusing particularly on AI-driven solutions for complex systems, IoT-enabled smart environments, and innovative sensor networking protocols. Dr. Das also explores Optical Networking technologies such as LiFi (Light Fidelity), Free Space Optics (FSO), and Software-Defined Networking (SDN), aiming to enhance data transmission efficiency, security, and scalability in next-generation communication networks. With a robust academic background and extensive practical experience, he continues to lead pioneering research efforts that bridge fundamental research with practical applications, contributing significantly to the advancement of these transformative technologies.

๐Ÿ“– Publication Top Noted

Article: Swin transformer based vehicle detection in undisciplined traffic environment

  • Authors: Prashant Deshmukh, GSR Satyanarayana, Sudhan Majhi, Upendra Kumar Sahoo, Santos Kumar Das

  • Journal: Expert Systems with Applications

  • Year: 2023

  • Citation: 25

Article: Vehicle detection and classification with spatio-temporal information obtained from CNN

  • Authors: GSR Satyanarayana, Prashant Deshmukh, Santos Kumar Das

  • Journal: Displays

  • Year: 2022

  • Citation: 14

Article: Performance analysis of ACO-OFDM NOMA for VLC communication

  • Authors: Jayashree Pradhan, Pratiksha Holey, Vinod Kiran Kappala, Santos Kumar Das

  • Journal: Optical and Quantum Electronics

  • Year: 2022

  • Citation: 14

Article: An improved pollution forecasting model with meteorological impact using multiple imputation and fine-tuning approach

  • Authors: K Krishna Rani Samal, Ankit Kumar Panda, Korra Sathya Babu, Santos Kumar Das

  • Journal: Sustainable Cities and Society

  • Year: 2021

  • Citation: 40

Article: Temporal convolutional denoising autoencoder network for air pollution prediction with missing values

  • Authors: K Krishna Rani Samal, Korra Sathya Babu, Santos Kumar Das

  • Journal: Urban Climate

  • Year: 2021

  • Citation: 39