Ashish Rauniyar

PhD Candidate
Bilde av Ashish Rauniyar
English version of this page
Telefon +47 67 23 88 64
Mobiltelefon +4793985384
Brukernavn
Besøksadresse Gaustadalléen 23B Ole-Johan Dahls hus 0373 OSLO
Postadresse Olav M. Troviks vei 14 H0101

Research Interests

  • Internet of Things

  • Machine Learning

  • Wireless Communication

 

Educational Background

Master of Engineering in IT Convergence Engineering

Kumoh National Institute of Technology, South Korea

Master Thesis: Energy Efficient and Reliable Spectrum Sensing Techniques for Cognitive Radio Networks (Awarded as Best Master Thesis, August 2015)

 

Teaching

Spring 2017

DAVE3605- Effective Programming in C & C ++

 

Spring 2019

ADSE1310 Internet of Things

 

Research Experience

Graduate Research Assistant

From:  09/01/2013 to 03/31/2016

Wireless and Emerging Networking System (WENS) Lab,

Kumoh National Institute of Technology, South Korea

 

Awards

1. Best Paper Award at 28th IEEE International Telecommunication Networks and Applications Conference (ITNAC), November 21∼November 23, 2018, Sydney, Australia. Paper title-  RF Energy Harvesting and Information Transmission in IoT Relay Systems based on Time Switching and NOMA’.

Best Paper Award at ITNAC 2018 - MN Faculty News

Best Paper Award to OsloMet Researchers - OsloMet News

IEEE Xplore News - Best Paper Award

 

2. Best Paper Award at AI-DLDA 2018 International Summer School on Artificial Intelligence, Udine-Italy — 2-6 July 2018. Paper title-  A Crowd-based Artificial Swarm Intelligence Approach for Measurable Security in Internet of Automated Vehicles with Vehicular Fog Computing.

 

3. Selected as Top 50 Young Global Changer and invited to attend Global Solutions Summit, May 24 - 29 2018, Berlin, Germany

 

4. Top 200 Young Researcher Invited to Attend 2017 Heidelberg Laureate Forum, Germany

MN Faculty News

Titan News

OsloMet News

 

5. European Satellite Navigation Competition Winner 2017

ESNC News

Titan News

Research Norway News

OsloMet News

 

6. Recipient of Best Graduate Master Thesis Award for my Master thesis titled “Energy Efficient and Reliable Spectrum Sensing Techniques for Cognitive Radio Networks” in August 2015, Kumoh National Institute of Technology, South-Korea.

 

Master Thesis Supervision

In the Quest of Trade-off between Job Parallelism and Throughput: Adaptive Parameter Tuning of Hadoop, Autumn 2018.

Publikasjoner

  • Rauniyar, Ashish; Hagos, Desta Haileselassie; Jha, Debesh & Håkegård, Jan Erik (2022). COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop. ISSN 1551-2282. s. 216–220. doi: 10.1109/SAM53842.2022.9827805.
  • Rauniyar, Ashish; Berge, Truls Svenn & Håkegård, Jan Erik (2022). NEMO: Internet of Things based Real-time Noise and Emissions MOnitoring System for Smart Cities. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop. ISSN 1551-2282. s. 206–210. doi: 10.1109/SAM53842.2022.9827835.
  • Jha, Debesh; Rauniyar, Ashish; Johansen, Håvard D.; Johansen, Dag; Riegler, Michael Alexander & Halvorsen, Pål [Vis alle 7 forfattere av denne artikkelen] (2022). Video Analytics in Elite Soccer: A Distributed Computing Perspective. Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop. ISSN 1551-2282. s. 221–225. doi: 10.1109/SAM53842.2022.9827827.
  • Rauniyar, Saurab; Jha, Vabesh Kumar; Jha, Ritika Kumari; Jha, Debesh & Rauniyar, Ashish (2021). Improving Polyp Segmentation in Colonoscopy using Deep Learning . Nordic Machine Intelligence (NMI). ISSN 2703-9196. 1(1), s. 1–3. doi: 10.5617/nmi.9136.
  • Rauniyar, Ashish; Engelstad, Paal E. & Østerbø, Olav Norvald (2020). Exploiting SWIPT for IoT NOMA-based Diamond Relay Networks. I Mühlhäuser, Max; Polyzos, George C.; Michahelles, Florian; Guinea, Alejandro Sánchez & Wang, Lin (Red.), MobiQuitous '20: Computing, Networking and Services, Virtual Event / Darmstadt, Germany, December 7-9, 2020. ACM 2020. ACM Digital Library. ISSN 978-1-4503-8840-5. s. 137–146. doi: 10.1145/3448891.3448931.
  • Rauniyar, Ashish; Yazidi, Anis; Engelstad, Paal E. & Østerbø, Olav Norvald (2020). A Reinforcement Learning based Game Theoretic Approach for Distributed Power Control in Downlink NOMA . I Avresky, Dimiter R. (Red.), 2020 IEEE 19th International Symposium on Network Computing and Applications (NCA). IEEE. ISSN 978-1-7281-8327-5. doi: 10.1109/NCA51143.2020.9306737.
  • Rauniyar, Ashish; Engelstad, Paal E. & Østerbø, Olav Norvald (2020). An Adaptive User Pairing Strategy for Uplink Non-Orthogonal Multiple Access. I Darwazeh, Izzat & Aghvami, Hamid (Red.), 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE. ISSN 978-1-7281-4491-7. doi: 10.1109/PIMRC48278.2020.9217383. Fulltekst i vitenarkiv
  • Rauniyar, Ashish; Engelstad, Paal E. & Østerbø, Olav Norvald (2020). Ergodic Capacity Performance of D2D IoT Relay NOMA-SWIPT Systems with Direct Links. I Herencsar, Norbert & Benedetto, Francesco (Red.), 2020 43rd International Conference on Telecommunications and Signal Processing (TSP). IEEE. ISSN 978-1-7281-6377-2. s. 117–123. doi: 10.1109/TSP49548.2020.9163552.
  • Rauniyar, Ashish; Engelstad, Paal E. & Østerbø, Olav Norvald (2020). Ergodic Capacity Performance of NOMA-SWIPT Aided IoT Relay Systems with Direct Link. I Huang, Longbo; Koutsopoulos, Iordanis & Subramanian, Vijay (Red.), 2020 18th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt). IEEE. ISSN 978-3-903176-29-4. s. 222–229.
  • Upreti, Ramesh; Rauniyar, Ashish; Kunwar, Jeevan; Haugerud, Hårek; Engelstad, Paal E. & Yazidi, Anis (2020). Adaptive Pursuit Learning for Energy‐efficient Target Coverage in Wireless Sensor Networks. Concurrency and Computation. ISSN 1532-0626. doi: 10.1002/cpe.5975. Fulltekst i vitenarkiv
  • Rauniyar, Ashish; Engelstad, Paal E. & Østerbø, Olav Norvald (2020). On the Performance of Bidirectional NOMA-SWIPT Enabled IoT Relay Networks. IEEE Sensors Journal. ISSN 1530-437X. 21(2), s. 2299–2315. doi: 10.1109/JSEN.2020.3018905. Fulltekst i vitenarkiv
  • Rauniyar, Ashish; Engelstad, Paal E. & Østerbø, Olav Norvald (2020). Ergodic Sum Capacity Analysis of NOMA‐SWIPT Enabled IoT Relay Systems. Internet Technology Letters (ITL). doi: 10.1002/itl2.218.
  • Rauniyar, Ashish; Engelstad, Paal E. & Østerbø, Olav Norvald (2020). Capacity Enhancement of NOMA‐SWIPT IoT Relay System with Direct Links over Rayleigh Fading Channels. Transactions on Emerging Telecommunications Technologies. ISSN 1124-318X. doi: 10.1002/ett.3913.
  • Pokhrel, Ramesh; Rauniyar, Ashish & Yazidi, Anis (2019). In the Quest of Trade-off between Job Parallelism and Throughput in Hadoop: A Stochastic Learning Approach for Parameter Tuning on the Fly. I Tian, Hui; Shen, Hong & Tan, Wee Lum Tan (Red.), 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies. IEEE conference proceedings. ISSN 978-1-7281-2616-6. s. 448–453. doi: 10.1109/PDCAT46702.2019.00086.
  • Rauniyar, Ashish; Kunwar, Jeevan; Haugerud, Hårek; Yazidi, Anis & Engelstad, Paal E. (2019). Energy Efficient Target Coverage in Wireless Sensor Networks Using Adaptive Learning. I Jemili, Imem & Mosbah, Mohamed (Red.), Distributed Computing for Emerging Smart Networks. Springer Nature. ISSN 978-3-030-40131-3. s. 133–147. doi: 10.1007/978-3-030-40131-3_9. Fulltekst i vitenarkiv
  • Rauniyar, Ashish; Engelstad, Paal E. & Østerbø, Olav Norvald (2019). Performance Analysis of RF Energy Harvesting and Information Transmission based on NOMA with Interfering Signal for IoT Relay Systems. IEEE Sensors Journal. ISSN 1530-437X. 19(17), s. 7668–7682. doi: 10.1109/JSEN.2019.2914796. Fulltekst i vitenarkiv
  • Rauniyar, Ashish; Engelstad, Paal E. & Østerbø, Olav Norvald (2018). RF Energy Harvesting and Information Transmission in IoT Relay Systems based on Time Switching and NOMA. I Gregory, Mark A (Red.), 2018 28th International Telecommunication Networks and Applications Conference (ITNAC). IEEE conference proceedings. ISSN 978-1-5386-7177-1. s. 168–174. doi: 10.1109/ATNAC.2018.8615403.
  • Rauniyar, Ashish; Engelstad, Paal E. & Østerbø, Olav Norvald (2018). RF Energy Harvesting and Information Transmission based on Power Splitting and NOMA for IoT Relay Systems, 2018 IEEE 17th International Symposium on Network Computing and Applications (NCA). IEEE conference proceedings. ISSN 978-1-5386-7659-2. doi: 10.1109/NCA.2018.8548068.
  • Rauniyar, Ashish; Engelstad, Paal E. & Østerbø, Olav Norvald (2018). RF energy harvesting and information transmission based on NOMA for wireless powered IoT relay systems. Sensors. ISSN 1424-8220. 18:3254(10), s. 1–22. doi: 10.3390/s18103254. Fulltekst i vitenarkiv
  • Rauniyar, Ashish; Engelstad, Paal E. & Moen, Hans Jonas Fossum (2018). A New Distributed Localization Algorithm Using Social Learning Based Particle Swarm Optimization for Internet of Things. IEEE Vehicular Technology Conference (VTC) Proceedings. ISSN 1550-2252. 2018-June, s. 1–7. doi: 10.1109/VTCSpring.2018.8417665.
  • Rauniyar, Ashish & Shin, Soo Young (2018). Cooperative spectrum sensing based on adaptive activation of energy and preamble detector for cognitive radio networks. APSIPA Transactions on Signal and Information Processing (SIP). ISSN 2048-7703. 7(2), s. 1–7. doi: 10.1017/ATSIP.2018.5.
  • Rauniyar, Ashish; Hagos, Desta Haileselassie & Shrestha, Manish (2018). A Crowd-Based Intelligence Approach for Measurable Security, Privacy, and Dependability in Internet of Automated Vehicles with Vehicular Fog. Mobile Information Systems. ISSN 1574-017X. 2018, s. 1–14. doi: 10.1155/2018/7905960. Fulltekst i vitenarkiv
  • Rauniyar, Ashish; Irfan, Mohammad; Saputra, Oka Danil; Kim, Jin Woo; Lee, Ah Ra & Jang, Jae Min [Vis alle 7 forfattere av denne artikkelen] (2017). Design and Development of a Real-Time Monitoring System for Multiple Lead–Acid Batteries Based on Internet of Things. Future Internet. ISSN 1999-5903. 9(3), s. 1–16. doi: 10.3390/fi9030028.
  • Rauniyar, Ashish; Engelstad, Paal E.; Feng, Boning & Do, van Thanh (2016). Crowdsourcing-based Disaster Management using Fog Computing in Internet of Things Paradigm. I Bilof, Randall (Red.), 2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC). IEEE. ISSN 978-1-5090-4607-2. s. 490–494. doi: 10.1109/CIC.2016.074.
  • Rauniyar, Ashish & Shin, Soo Young (2015). A Novel Energy-Efficient Clustering Based Cooperative Spectrum Sensing for Cognitive Radio Sensor Networks. International Journal of Distributed Sensor Networks (IJDSN). ISSN 1550-1329. 11, s. 1–8. doi: 10.1155/2015/198456.
  • Triwicaksono, Dimas; Rauniyar, Ashish & Shin, Soo Young (2015). Cascaded Energy Detector and Matched Filter-Clear Channel Assessment for Wireless Network. Wireless personal communications. ISSN 0929-6212. 84(4), s. 2427–2443. doi: 10.1007/s11277-015-2713-7.
  • Rauniyar, Ashish & Shin, Soo Young (2015). Multiple Antenna-Aided Cascaded Energy and Matched Filter Detector for Cognitive Radio Networks. International Journal of Distributed Sensor Networks (IJDSN). ISSN 1550-1329. 11(9). doi: 10.1155/2015/175943.

Se alle arbeider i Cristin

  • Rauniyar, Saurab; Jha, Vabesh Kumar; Jha, Ritika Kumari; Jha, Debesh; Rauniyar, Ashish & Srivastava, Abhishek (2021). Automated Polyp Segmentation in Colonoscopy using MSRFNet.
  • Rauniyar, Ashish; Jeong, Dae Ro; Chand, G.S.L. Krsihna & Shin, Soo Young (2015). Performance Analysis of Cascaded Energy and Matched Filter Detector With Malicious Users in Cognitive Radio Networks.

Se alle arbeider i Cristin

Publisert 2. feb. 2017 12:50 - Sist endret 25. apr. 2019 13:01