By Rui Tan and Shuhao Zhang
Session Chair: Rui Tan
Green Computing for 5G Cloud RAN
By Prof. Chan Mun Choon (1:45 pm-2:10 pm, 25min)
Energy-Efficient Inferencing for Real-time Edge Intelligence
By Prof. Archan Misra (2:10 pm-2:35 pm, 25min)
Towards serverless edge resource orchestration
By Prof. Dmitrii Ustiugov (2:35 pm-3:00 pm, 25min)
Session Chair: Shuhao Zhang
Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach
By Prof. Dusit Niyato (3:15 pm-3:40 pm, 25min)
Green Edge Computing for Time Series Sensor Data Analytics
By Prof. Xiaoli Li (3:40 pm-4:05 pm, 25min)
Tackling the Energy Challenge of Wireless Embedded Systems
By Prof. Ambuj Varshney (4:05 pm-4:30 pm, 25min)
Session Chair: Rui Tan
A Capacitive Energy Harvester from Low-voltage AC Power Lines
By Dr. Manoj Gulati (4:45 pm-5:00 pm, 15min)
Algorithmic Sensing for Energy-Efficient Green Edge Computing
By Dr. Tianyue Zhen (5:00 pm-5:15 pm, 15min)
Resource Allocation in Edge Computing: Role in Energy Optimization
By Dr. Niraj Kumar (5:15 pm-5:30 pm, 15min)
Position: Associate Professor (NTU)
Bio: Rui Tan (M’08-SM’18) is an Associate Professor at School of Computer Science and Engineering, Nanyang Technological University, Singapore. Previously, he was a Research Scientist (2012-2015) and a Senior Research Scientist (2015) at Advanced Digital Sciences Center, a Singapore-based research center of University of Illinois at Urbana-Champaign (UIUC), a Principle Research Affiliate (2012-2015) at Coordinated Science Lab of UIUC, and a postdoctoral Research Associate (2010-2012) at Department of Computer Science and Engineering, Michigan State University, East Lansing. He received the Ph.D. (2010) degree in computer science from City University of Hong Kong, the B.S. (2004) and M.S. (2007) degrees from Shanghai Jiao Tong University, China. His research interests include cyber-physical systems, sensor networks, and ubiquitous computing systems. He received the Best Paper Awards from ICCPS'23, IPSN’17, CPSR-SG’17, Best Paper Runner-Ups from IEEE PerCom’13 and IPSN’14.
Position: Assistant Professor (SUTD)
Bio: Shuhao Zhang is an Assistant Professor at the Singapore University of Technology and Design. Previously, he was a postdoctoral researcher at Technische Universität Berlin under Prof. Volker Markl. He earned his PhD and BEng from the National University of Singapore and Nanyang Technological University, respectively. His research focuses on designing database systems and big data processing frameworks for modern hardware (NUMA multicore, GPU, mobile CPUs) with a special interest in stream processing systems. His work has been published in top conferences/journals including SIGMOD, VLDB, ICDE, SC, USENIX ATC, IEEE TPDS, and IEEE TKDE. He has open-sourced most of his stream processing and database systems, including BriskStream (ICDE’17, SIGMOD’19), TStream/MorphStream (ICDE’20, SIGMOD’23), and OmniDB/FineStream (VLDB’13, ATC’20, TPDS’21).
Position: Professor (NUS)
Bio: Mun Choon graduated with a BS in Computer and Electrical Engineering from Purdue University with highest distinction in 1990, MSEE in 1993 and Ph.D. in 1997, both from Columbia University. In Columbia, he was a member of the comet group and worked under the supervision of Prof. Aurel A. Lazar on large scale network emulation, network management and programmable network. From 1997 to 2003, he was a Member of Technical Staff in the Networking Research Laboratory, Bell Labs, Lucent Technologies. In Bell Labs, he worked on network management and wireless data transport over cellular network. His work in Bell Labs includes highly cited work on TCP/IP performance over 3G wireless links (MobiCom 2012) and a US patent on cache-based compaction technique that has more than 210 patent citations (US Patent 6,178,461).
Position: Professor (NTU)
Bio: Dusit Niyato (M'09-SM'15-F'17) is a professor in the School of Computer Science and Engineering, at Nanyang Technological University, Singapore. He received B.Eng. from King Mongkuts Institute of Technology Ladkrabang (KMITL), Thailand in 1999 and Ph.D. in Electrical and Computer Engineering from the University of Manitoba, Canada in 2008. His research interests are in the areas of sustainability, edge intelligence, decentralized machine learning, and incentive mechanism design.
Position: Professor (SMU)
Bio: Archan Misra is a Vice Provost (Research) and Professor of Computer Science in the School of Computing & Information Systems at Singapore Management University. His primary research interests are in the areas of Mobile & Wearable Sensing & Computing, Ultra Low-Power & AI for IoT, Optimized Human-Machine Interaction, Smart City Services & Mobility Analytics. Prior to joining SMU, he spent over a decade as an industrial researcher, including stints as: a Senior Scientist at Telcordia Technologies, Piscataway, NJ (2008-2010), Research Staff Member at IBM T. J. Watson Research Center, Hawthorne, NY (2001-2008) and Research Scientist at Bellcore, Morristown, NJ (2001-2008). He is a Distinguished Member of the ACM and a Senior Member of the IEEE.
Position: Assistant Professor (NTU)
Bio: Dr. Dmitrii Ustiugov is an Assistant Professor in School of Computer Science and Engineering. He received a Ph.D. degree in Computer Science from the University of Edinburgh where was co-advised by Profs. Boris Grot and Edouard Bugnion (EPFL). Previously, he was a Postdoctoral Researcher at ETH Zurich with Prof. Ana Klimovic. Dr. Ustiugov received M.Sc. and B.Sc. degrees from Moscow Institute of Physics and Technology (MIPT). He is leading the vHive open-source ecosystem for serverless experimentation and innovation across the deep distributed HW/SW stack, which is in use by 30+ academic and industry organizations.
Position: Assistant Professor (NUS)
Bio: Ambuj Varshney is an Assistant Professor at National University of Singapore. Previously, he was a postdoctoral scholar at UC Berkeley. He completed his doctoral studies at Uppsala University, Sweden. Ambuj Varshney's interests have centered around embedded systems, wireless, and mobile computing for over a decade. One important problem he has tackled is the energy asymmetry among components of embedded systems, a pressing problem that hinders their widespread deployment. In particular, Varshney has designed novel low-power wireless transmitters that achieve hundreds of meters of range at tens of microwatts of power consumption orders of magnitude lower than widely used commercial transmitters. His research has led to awards, accolades, grants, and an ABB Research Award in Honour of Hubertus von Gruenberg. Several of his students have also received significant honors and accolades; for example, one student won the ACM Student Research Competition at ACM MobiCom 2017.
Position: Department Head (MI, I2R, A*STAR )
Bio: Xiaoli is currently a department head (Machine Intellection department, consisting of 130+ AI and data scientists, which is the largest AI and data science group in Singapore) and a principal scientist at the Institute for Infocomm Research, A*STAR, Singapore. He also holds adjunct professor position at Nanyang Technological University (He was holding adjunct position at National University of Singapore for 6 years). He is also serving as KPMG-I2R joint lab co-director. He has been a member of Information Technology Standards Committee (ITSC) from ESG Singapore and Infocomm Media Development Authority (IMDA) since 2020. Moreover, he serves as a health innovation expert panel member for the Ministry of Health (MOH), as well as an AI advisor for the Smart Nation and Digital Government Office (SNDGO), Prime Minister’s Office, highlighting his extensive involvement in key Government and industry initiatives.
Position: Research Fellow (NUS)
Bio: Manoj Gulati is an applied researcher with a demonstrated history of working in the industry and academia, having more than 10 years of hands-on experience in Hardware Design including top MNCs like Hewlett-Packard. He is skilled in Low-power Embedded System Design, Embedded Software, PCB Designing, Microprocessors, and Embedded C. Manoj is a strong research professional with a Doctor of Philosophy (Ph.D.) focused in Embedded Sensing and Energy Sustainability from Indraprastha Institute of Information Technology (IIIT-Delhi), India along with three years research experience in LARC Centre, School of Computing and Information Systems, Singapore Management University (Singapore) and one-year research experience in Paul G. Allen Center for Computer Science and Engineering at University of Washington, Seattle (USA). Currently, he is working as a Research Fellow at School of Computing at NUS with Prof. Ambuj Varshney.
Position: Research Fellow (NTU)
Bio: Serverless computing has introduced a new paradigm and architecture for cloud computing, which has substantially impacted the digital economy and cloud providers in particular. Serverless has significantly simplified cloud services programming by offloading cloud resource management to cloud providers, reducing time to market for commercial online services, and leading to the rapid adoption of serverless throughout the market. I will first introduce our latest works on fast and resource-efficient serverless systems, including innovations in cold-start optimization of serverless functions and serverless functions colocation. I will then discuss how serverless can substantially simplify and optimize resource management for edge workloads by transparently managing small and large ML models in a geo-distributed edge setting. He currently works with Prof. Arvind Easwaran.
Position: Joining faculty of a university
Bio: Tianyue Zheng is now with Computer Science at Nanyang Technological University, Singapore. He holds a B.Eng. degree in Telecommunication Engineering from Harbin Institute of Technology, China, and an M.Eng. degree in Computer Engineering from the University of Toronto, Canada. His research focuses on RF sensing and deep learning, and he has published papers in prestigious venues such as ACM MobiCom, ACM SenSys, ACM UbiComp, IEEE INFOCOM, IEEE Transactions on Mobile Computing, and IEEE Communications Magazine. He currently works with Prof. Jun Luo.
ACKNOWLEDGEMENT: This workshop is supported by the National Research Foundation, Singapore.