Associate Professor at National Institute of Technology Rourkela, India
Dr. Santos Kumar Das, an Associate Professor at the Department of Electronics and Communication Engineering, National Institute of Technology (NIT) Rourkela, is an accomplished researcher with expertise in AI, IoT, Sensor Networking, and Optical Networking, including LiFi, FSO, and SDN. With a Ph.D. in Communication Networks from NIT Rourkela and an M.S. in Electrical Communication Engineering from IISc Bangalore, Dr. Das has an extensive academic and professional background. He has supervised 12 Ph.D., 53 M.Tech., and 54 B.Tech. theses and managed numerous government-funded research projects totaling over ₹671 lakh. A recipient of multiple awards, including the Best Research Paper Award at IoTCloud’21 and INDICON 2023, he has over 50 journal publications. Dr. Das is actively involved in academia as a reviewer, technical committee member, and conference session chair. His innovative contributions in 6G communication and IoT for societal applications make him a strong contender for the Best Researcher Award.
Professional Profile
Education
Dr. Santos Kumar Das has an impressive educational background, marked by a strong foundation in electronics and communication engineering. He completed his Ph.D. in Communication Networks from the National Institute of Technology (NIT), Rourkela, in 2014. Prior to that, he earned a Master of Science (M.S.) in Electrical Communication Engineering from the prestigious Indian Institute of Science (IISc), Bangalore, in 2002, graduating with first-class honors. Dr. Das also holds a Bachelor of Engineering (B.E.) degree in Electronics and Communication from VSSUT (formerly UCE), Burla, Odisha, completed in 1998, where he again achieved first-class honors. His academic journey began with a strong foundation in science during his higher secondary education at D.D. College, Keonjhar, Odisha, where he secured first-class marks. With this comprehensive educational background, Dr. Das has built a distinguished career in research and teaching, focusing on cutting-edge technologies in communications and networking.
Professional Experience
Dr. Santos Kumar Das has a diverse and extensive professional experience spanning academia, industry, and research. Currently serving as an Associate Professor at the Department of Electronics and Communication Engineering at NIT Rourkela since 2009, he has significantly contributed to the institution’s academic and research initiatives. Prior to his academic career, Dr. Das gained substantial industry experience as a Senior Software Engineer at Palvision and ITXpress in Singapore, where he worked on cutting-edge network systems and software development. He also held roles as a Software Engineer at Actatek and Network Engineer at Netmarks, contributing to advanced technological solutions in various sectors. In addition, Dr. Das worked as a Research Associate at CEMNet Lab, NTU Singapore, and as a Research Engineer at A-Star Singapore, where he was involved in high-impact research in communication networks and sensor technologies. His broad range of roles has enriched his expertise and research focus, particularly in IoT, AI, and Optical Networking.
Research Interest
Dr. Santos Kumar Das has a broad and innovative research focus, primarily centered around emerging technologies in communications and networking. His key research interests include Artificial Intelligence (AI), the Internet of Things (IoT), Sensor Networking, and Optical Networking, particularly focusing on cutting-edge technologies like LiFi, Free-Space Optics (FSO), and Software-Defined Networking (SDN). Dr. Das explores the integration of AI in IoT applications, aiming to enhance the intelligence and efficiency of network systems. His work in optical networking focuses on leveraging advanced communication techniques for high-speed data transmission and next-generation wireless systems, with a special emphasis on 6G communication technologies. He also investigates IoT-based smart city applications, environmental monitoring systems, and industrial IoT for better security, safety, and resource management. By combining AI with sensor networks and optical technologies, Dr. Das contributes to the development of sustainable, intelligent, and high-performance communication systems for both industrial and societal applications.
Award and Honor
Dr. Santos Kumar Das has received numerous prestigious awards and honors throughout his career, reflecting his excellence in research, teaching, and professional contributions. He was recognized as a Senior Member of IEEE in 2019, showcasing his standing in the global engineering community. Dr. Das has received multiple Best Paper Awards, including at the International Conference on Next Generation Computing Technologies (NGCT) in 2017, Electronic Systems and Intelligent Computing (ESIC) in 2020, and IoTCloud’21, III T Kottayam in 2021. He was also honored with the Best Faculty Advisor Award at NIT Rourkela in 2022 and 2023 for his outstanding guidance to students. Dr. Das’s leadership and contributions to academic committees have earned him recognition as an editorial board member and reviewer for multiple journals. Additionally, his involvement in technical committees and chairing sessions at international conferences, such as TENCON 2023 and SGCNSP 2023, further exemplify his significant impact in the field of engineering and technology.
Conclusion
Dr. Santos Kumar Das stands out as a highly accomplished researcher with a stellar record in academia, research, and mentorship. His contributions to IoT, AI, and advanced networking, coupled with his leadership in projects and professional service, make him an outstanding candidate for the Best Researcher Award. Addressing minor areas for improvement, such as broadening his research scope and enhancing global collaboration, could further solidify his position as a leader in the field. Overall, he is highly deserving of this recognition.
Publications Top Noted
- A comprehensive review on deep learning-based methods for video anomaly detection
Authors: R Nayak, UC Pati, SK Das
Journal: Image and Vision Computing
Year: 2021
Citations: 268
- Time series based air pollution forecasting using SARIMA and prophet model
Authors: KKR Samal, KS Babu, SK Das, A Acharaya
Conference: Proceedings of the 2019 International Conference on Information Technology
Year: 2019
Citations: 158
- Multi-directional temporal convolutional artificial neural network for PM2.5 forecasting with missing values: A deep learning approach
Authors: KKR Samal, KS Babu, SK Das
Journal: Urban Climate
Year: 2021
Citations: 74
- An improved pollution forecasting model with meteorological impact using multiple imputation and fine-tuning approach
Authors: KKR Samal, AK Panda, KS Babu, SK Das
Journal: Sustainable Cities and Society
Year: 2021
Citations: 47
- Temporal convolutional denoising autoencoder network for air pollution prediction with missing values
Authors: KKR Samal, KS Babu, SK Das
Journal: Urban Climate
Year: 2021
Citations: 44
- Swin transformer based vehicle detection in undisciplined traffic environment
Authors: P Deshmukh, GSR Satyanarayana, S Majhi, UK Sahoo, SK Das
Journal: Expert Systems with Applications
Year: 2023
Citations: 42
- Critical review on slope monitoring systems with a vision of unifying WSN and IoT
Authors: DK Yadav, S Jayanthu, SK Das, S Chinara, P Mishra
Journal: IET Wireless Sensor Systems
Year: 2019
Citations: 36
- Multi-output TCN autoencoder for long-term pollution forecasting for multiple sites
Authors: KKR Samal, AK Panda, KS Babu, SK Das
Journal: Urban Climate
Year: 2021
Citations: 35
- Video-based real-time intrusion detection system using deep-learning for smart city applications
Authors: R Nayak, MM Behera, UC Pati, SK Das
Conference: 2019 IEEE International Conference on Advanced Networks and
Year: 2019
Citations: 32
- A vehicle detection technique using binary images for heterogeneous and lane-less traffic
Authors: GSR Satyanarayana, S Majhi, SK Das
Journal: IEEE Transactions on Instrumentation and Measurement
Year: 2021
Citations: 31
- Design of real-time slope monitoring system using time-domain reflectometry with wireless sensor network
Authors: DK Yadav, G Karthik, S Jayanthu, SK Das
Journal: IEEE Sensors Letters
Year: 2019
Citations: 31
- Observation of multiphonon transverse wobbling in 133Ba
Authors: KR Devi, S Kumar, N Kumar, FS Babra, MSR Laskar, S Biswas, S Saha, …
Journal: Physics Letters B
Year: 2021
Citations: 30