Ashish Rauniyar

Research Interests
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Internet of Things
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Machine Learning
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Wireless Communication
Educational Background
Ph.D. in Computer Science
University of Oslo, Norway
Ph.D. Thesis: Exploring and Enhancing Spectral and Energy Efficiency of Non-Orthogonal Multiple Access in Next-Generation IoT Networks
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 2020
Autumn 2019
MEK1200 Introduction to IT for Engineers
Spring 2019
Spring 2017
DAVE3605- Effective Programming in C & C ++
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
Ph.D. Panel
Ph.D. Panel for the European Commission - Radical Innovation Breakthrough Inquirer (RIBRI) Project, 2018
100 Radical Innovation Breakthroughs For The Future
Awards
1. Best Paper Award at 2020 IEEE 43rd International Conference on Telecommunications and Signal Processing (TSP), July 7∼ July 9, 2020, Milan, Italy. Paper Title- Ergodic Capacity Performance of D2D IoT Relay NOMA-SWIPT Systems with Direct Links.
2. Selected as Global Young Scientist and Invited to Attend Global Young Scientists Summit in Singapore, January 13 - 17, 2020.
Ashish Rauniyar Selected to Prestigious Global Young Scientist Summit
3. 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
4. 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.
5. Selected as Top 50 Young Global Changer and invited to attend Global Solutions Summit, May 24 - 29 2018, Berlin, Germany
6. Top 200 Young Researcher Invited to Attend 2017 Heidelberg Laureate Forum, Germany
7. European Satellite Navigation Competition Winner 2017
8. Recipient of Best Graduate Master Thesis Award for my Master's 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
Mentorship
1. Mentor for Young Sustainable Impact (YSI) Innovation Program, August 2018
2. Mentor for OsloMet Summer School Innovation Camp 2018, July 2018
3. Mentor for Young Sustainable Impact (YSI) Innovation Program, August 2017
Technical Program Committee (TPC) Member
1. TPC member for 32nd Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2021), 13 - 16 September 2021, Oulu, Finland
2. TPC member for 31st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2020), 31 August-3 September 2020 - London UK
3. TPC member for 30th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2019), September 8-11, 2019 - Istanbul, Turkey
4. TPC member for 29th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2018), September 9-12, 2018 - Bologna, Italy
Publications
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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), p. 1–3. doi: 10.5617/nmi.9136.
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Rauniyar, Ashish; Engelstad, Paal E. & Østerbø, Olav Norvald (2020). Exploiting SWIPT for IoT NOMA-based Diamond Relay Networks. In Mühlhäuser, Max; Polyzos, George C.; Michahelles, Florian; Guinea, Alejandro Sánchez & Wang, Lin (Ed.), 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. p. 137–146. doi: 10.1145/3448891.3448931.
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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 . In Avresky, Dimiter R. (Eds.), 2020 IEEE 19th International Symposium on Network Computing and Applications (NCA). IEEE. ISSN 978-1-7281-8327-5. doi: 10.1109/NCA51143.2020.9306737.
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Rauniyar, Ashish; Engelstad, Paal E. & Østerbø, Olav Norvald (2020). An Adaptive User Pairing Strategy for Uplink Non-Orthogonal Multiple Access. In Darwazeh, Izzat & Aghvami, Hamid (Ed.), 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. Full text in Research Archive
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Rauniyar, Ashish; Engelstad, Paal E. & Østerbø, Olav Norvald (2020). Ergodic Capacity Performance of D2D IoT Relay NOMA-SWIPT Systems with Direct Links. In Herencsar, Norbert & Benedetto, Francesco (Ed.), 2020 43rd International Conference on Telecommunications and Signal Processing (TSP). IEEE. ISSN 978-1-7281-6377-2. p. 117–123. doi: 10.1109/TSP49548.2020.9163552.
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Rauniyar, Ashish; Engelstad, Paal E. & Østerbø, Olav Norvald (2020). Ergodic Capacity Performance of NOMA-SWIPT Aided IoT Relay Systems with Direct Link. In Huang, Longbo; Koutsopoulos, Iordanis & Subramanian, Vijay (Ed.), 2020 18th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt). IEEE. ISSN 978-3-903176-29-4. p. 222–229.
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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. Full text in Research Archive Show summary
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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), p. 2299–2315. doi: 10.1109/JSEN.2020.3018905. Full text in Research Archive Show summary
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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. Show summary
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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. Show summary
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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. In Tian, Hui; Shen, Hong & Tan, Wee Lum Tan (Ed.), 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies. IEEE conference proceedings. ISSN 978-1-7281-2616-6. p. 448–453. doi: 10.1109/PDCAT46702.2019.00086.
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Rauniyar, Ashish; Kunwar, Jeevan; Haugerud, Hårek; Yazidi, Anis & Engelstad, Paal E. (2019). Energy Efficient Target Coverage in Wireless Sensor Networks Using Adaptive Learning. In Jemili, Imem & Mosbah, Mohamed (Ed.), Distributed Computing for Emerging Smart Networks. Springer Nature. ISSN 978-3-030-40131-3. p. 133–147. doi: 10.1007/978-3-030-40131-3_9. Full text in Research Archive
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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), p. 7668–7682. doi: 10.1109/JSEN.2019.2914796. Full text in Research Archive
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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. In Gregory, Mark A (Eds.), 2018 28th International Telecommunication Networks and Applications Conference (ITNAC). IEEE conference proceedings. ISSN 978-1-5386-7177-1. p. 168–174. doi: 10.1109/ATNAC.2018.8615403.
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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.
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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), p. 1–22. doi: 10.3390/s18103254. Full text in Research Archive
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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, p. 1–7. doi: 10.1109/VTCSpring.2018.8417665.
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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), p. 1–7. doi: 10.1017/ATSIP.2018.5.
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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, p. 1–14. doi: 10.1155/2018/7905960. Full text in Research Archive Show summary
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Rauniyar, Ashish; Irfan, Mohammad; Saputra, Oka Danil; Kim, Jin Woo; Lee, Ah Ra & Jang, Jae Min [Show all 7 contributors for this article] (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), p. 1–16. doi: 10.3390/fi9030028. Show summary
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Rauniyar, Ashish; Engelstad, Paal E.; Feng, Boning & Do, van Thanh (2016). Crowdsourcing-based Disaster Management using Fog Computing in Internet of Things Paradigm. In Bilof, Randall (Eds.), 2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC). IEEE. ISSN 978-1-5090-4607-2. p. 490–494. doi: 10.1109/CIC.2016.074.
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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, p. 1–8. doi: 10.1155/2015/198456. Show summary
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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), p. 2427–2443. doi: 10.1007/s11277-015-2713-7. Show summary
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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. Show summary
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Rauniyar, Saurab; Jha, Vabesh Kumar; Jha, Ritika Kumari; Jha, Debesh; Rauniyar, Ashish & Srivastava, Abhishek (2021). Automated Polyp Segmentation in Colonoscopy using MSRFNet.
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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. Show summary