Keynote Speakers

Dr. Chih-Lin I, Chief Scientist of Wireless Technologies, China Mobile

Chih-Lin I is the China Mobile Chief Scientist of Wireless Technologies, in charge of advanced wireless communication R&D effort of China Mobile Research Institute (CMRI). She established the Green Communications Research Center of China Mobile, spearheading major initiatives including 5G Key Technologies R&D; high energy efficiency system architecture, technologies, and devices; green energy; C-RAN and soft base station.

Chih-Lin received her Ph.D. degree in Electrical Engineering from Stanford University, has almost 30 years experience in wireless communication area. She has worked in various world-class companies and research institutes, including wireless communication fundamental research department of AT&T Bell Labs; Headquarter of AT&T, as Director of Wireless Communications Infrastructure and Access Technology; ITRI of Taiwan, as Director of Wireless Communication Technology; Hong Kong ASTRI, as VP and the Founding GD of Communications Technology Domain. Chih-Lin received the Trans. COM Stephen Rice Best Paper Award, and is a winner of CCCP “National 1000 talent” program. She was an elected Board Member of IEEE ComSoc, Chair of ComSoc Meeting and Conference Board, and the Founding Chair of IEEE WCNC Steering Committee. She is currently an Executive Board Member of GreenTouch, and a Network Operator Council Member of ETSI NFV.

Topic: Soft 5G by Way of SDN/NFV, C-RAN, and SDAI

Abstract: Mobile Internet and Internet of Thing have been widely recognized as the two major driven forces of the next generation wireless communication system by the global community. A hidden factor behind is the extreme diverse performance requirements of the rich applications under these two umbrellas, from the optical-fiber-like access to the massive low data rate low power connections, from the extreme delay sensitive links to the spare burst transmission. Traditional mobile network lacks of enough flexibility to satisfy the diverse needs due to its dedicated hardware based deployment schemes and single globally optimized air-interface protocol. A “Soft 5G” concept is proposed by China Mobile to soften the future mobile networks from infrastructure to terminal. This talk will share the latest development within China Mobile on the key elements of “Soft 5G” concept, i.e., SDN/NFV, C-RAN, and SDAI.

 Dr. Grace Lin, 林蔚君, INFORMS Fellow, VP & Director General, Advanced Research Institute (ARI), Institute for Information Industry (III), Taiwan


  • Director/CTO, Supply Chain & Emerging Solutions, IBM Global Business Services
  • Senior Manager & Researcher, Business Analytics, IBM T. J. Watson Research Center
  • IBM Distinguished Engineer;  Member of IBM Academy of Technology
  • Full Professor(Adjunct), School of Industrial Engineering &Operations Research, Columbia University
  • INFORMS Fellow & Member, Board of Directors; VP Practice Activities & VP International Affairs; Chair, INFORMS Fellow Selection Committee
  • Outstanding Industrial Engineer (Alumni), Purdue University; Outstanding Technical Award, IBM; Franz Edelman Award, INFORMS; IIE Doctoral Dissertation Award.
  • Editorial Board: ORMS, MSOM, Interface, Service Science.


  • Ph. D. School of Industrial Engineer; M.S., Applied Math., Purdue University
  • B.S. & Master's degrees, Mathematics, National Tsing Hua University

Topic: Emerging Trends in ICT: Big Data Analytics and Smart Tourism Taiwan

Abstract: With the rapid adoption of new technologies such as mobile computing, cloud computing, social networks and the Internet of Things, data is being generated at a very rapid growth rate. These aspects of Big Data, with their characteristic velocity, variety, and variability, can be integrated and processed either in near real-time, or in batches to support decisions at different levels of business. As leading global governmental organizations and private enterprises have begun to apply Big Data Analytics for various public and commercial purposes, they are seeing valuable results in areas such as increased consumer insights, optimized business operations, and more enabled innovative services.

In this talk, we will introduce the Smart Tourism Taiwan initiative, which was designed to provide travelers with timely information before, during and after their trips, resulting in a deeper and more authentic experience. The solution is based on advanced technology including Smart System Service, Big Data Analytics, and the API Economy. It also supports tourism business enablement, business operations, as well as information-sharing among commercial and government agencies. We'll also discuss our efforts in expanding the technologies from smart tourism to building more responsive, more efficient, and healthier smart cities and homelands.


Ning Hua 华宁, Senior Director, IEEE Asia Operations, IEEE 中国代表处首席代表


Naresh Sadhnani, Head of BI Big Data and Analytics for the ASEAN Region at Tech Mahindra

Naresh Sadhnani is Head of BI Big Data and Analytics for the ASEAN Region at Tech Mahindra. He has a total of 20 years IT industry experience with over 16 years within the APJ region. Over the years Naresh has worked across the Data Warehousing and Big Data technology space developing significant technical & business acumen geared to creating positive change across an enterprise. He has achieve corporate objectives through passion and commitment to integrating Big Data technologies and advanced enterprise analytics. He is also a recognized thought leader within the Big Data community in the region. As a Head for Big Data Strategy and Solutions (ASEAN) at Tech Mahindra, Naresh has successfully contributed in the following areas:

  • Evangelize the benefits of Big Data Services to customers around the region
  • Create thought leadership in Big Data as a trusted adviser to senior IT leaders and the CXO suite
  • Cultivate and take to market unique Big Data solutions
  • Possess broad current industry knowledge of all technologies and trends related to Big Data
  • An agile, enthusiastic professional who takes pride in being on top of the technology leading edge.
  • Strong influencer, capable of connecting customers to the "right solution at the right time" resulting in excitement and real business ROI

Topic: Business Data Lakes

Abstract: Data lakes can enable businesses to become data driven, empowering them to use information much more than what has been done in the past. Data lakes allow organizations to store everything, analyze anything and build what it needs. With data lakes businesses will be able to provide data driven decisions with a differentiated advantage to increase revenue, improve margins, assess and gain market share, attain customer loyalty, accelerate growth and deliver social benefits and above all stimulate innovations within the organization. In this keynote we are going to learn what are data lakes and how businesses can and are already benefitting from data lakes.

Dr. Wooseok Chang,  Vice President of Software R&D Center of Samsung Electronics

Dr. Wooseok Chang is Vice President of Software R&D Center in Device Solution Business of Samsung Electronics. Since he joined Samsung in 1995 as a system software engineer, he has worked on many R&D projects from embedded systems to high-end servers. Before he joined Software R&D Center in 2012, he led SSD(Solid State Drive) Software Development group for three years, for which Samsung successfully launched a series of client SSDs. He currently leads Next Generation Software Lab in Software R&D Center, focusing on hyperscale converged solutions, power aware computing, and IoT platform.

Topic: Solution Platform - From IoT To Hyperscale

Abstract: This presentation will briefly introduce Samsung IoT Platform called ARTIK, which has been launched in May this year, and Samsung Hyperscale Platform called Ceres-II, which is a prototype of highly-compact SSD-based platform for compute & data-intensive applications. It will review major entry barriers to IoT prevalence and highlight the differentiated strengths of the ARTIK platform. Also, the novel architecture of Ceres-II will shed light on emerging applications of hyperscale platform, especially for bio big data analytics, and on required management software features for more than ten-thousand cores in a rack in the near future.


Dr. James Won-Ki Hong, Professor of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH), Korea
James Won-Ki Hong is Professor in the Dept. of Computer Science and Engineering at POSTECH, Pohang, Korea. James worked as CTO and Senior Executive Vice President for KT from March 2012 to Feb. 2014, where he was responsible for leading the R&D effort of KT and its 50 subsidiary companies, and where he initiated R&D on SDN. He was Chairman of National Intelligence Communication Enterprise Association, and Chairman of Telecommunications Technology Association (TTA) Standardization Board in Korea. His interests include network innovation (such as SDN and NFV), cloud computing, mobile services, Smart IPTV, and ICT convergence (such as Smart Home, Smart Grid, e-Health). He was co-founder and CTO of Netstech, a Palo Alto, USA-based startup developing network integrated ultra-dense, blade servers from 2000 to 2002.
Over the past 20 years, James has been an active volunteer in various committees in IEEE, ComSoc, and KICS. He has served as Steering Committee Chair of IEEE NOMS, IM and APNOMS, as well as Chair of CNOM and KNOM. He has also been serving as EiC of Wiley’s International Journal of Network Management (IJNM) as well as an editorial member of the IEEE TNSM, JNSM and JCN. He is the General Chair of IEEE NetSoft 2016 (
James received his HBSc and MSc degrees in Computer Science from the University of Western Ontario, Canada in 1983 and 1985, respectively, and the Ph.D degree in Computer Science from the University of Waterloo, Canada in 1991.
Abstract: In recent years, we have seen the rapid growth in the use of smart phones and applications around the world. Customers have been demanding for bigger and faster network pipes. These required carriers to continue to invest more resources on networks increasing their CAPEX and OPEX. However, their revenues and profits have been decreasing, making their survival much more difficult than ever before. Further, the complexity of network operations and management has increased significantly. Software-Defined Networking (SDN) is an emerging networking technology which promises to reduce CAPEX and OPEX and provide capability to support fast rollout of new services to customers. Unfortunately, there are still many issues and limitations which burden the adoption of the SDN into carrier networks. In this presentation, the problems and requirements of the carrier networks will be described. A set of new SDN technologies that are necessary to satisfy the requirements of carrier networks, which we call SDN 2.0, will be introduced. Some use cases of SDN 2.0 will be presented along with an insight of 5G using SDN 2.0.

Prof. Jiandong Li, Vice President, Xidian University, Xi'an, China

Prof. Jiandong LI graduated from Xidian University with Bachelor Degree, Master Degree and Ph.D respectively in 1982, 1985 and 1991 respectively. He is with Xidian University from 1985. He was an associate professor from 1990 to 1994. He is a professor of Xidian University from 1994 and Ph.D. supervisor from 1995. He was Dean of School of Telecommunication Engineering from 1997 to 2006 and Executive Vice Dean of Graduate School of Xidian University from 2007 to 2012 and a visiting professor of Cornell University from Jan. 2002 to Jan. 2003. He is the Vice President of Xidian University from July 2012.

Prof. Li is Changjiang Scholar and was awarded the National Science Fund of China for Distinguished Young Scholars. He is a senior member of IEEE and China Institute of Electronics (CIE) and the fellow of China Institute of Communication (CIC). He was the member of PCN (Personal Communications Networks) specialist group for China 863 Communication High Technology Program from Jan. 1993 to Oct. 1994 and from 1999 to 2000. He is also a member of broadband wireless mobile communication specialist group and Director of Broadband Wireless IP Standard Work Group for The Ministry of Industry and Information Technology.

Topic: Resource Mobility and Interference Management for Heterogeneous Wireless and Cellular Networks

 Abstract: Heterogeneous wireless and cellular networks (HWNs and HetNets) are the basic formats for the Ubiquitous Communications in dynamic nomadic and mobile environments. Each user (with a smartphone, iPad, or PCand/or each information flow can access and cross over different kind of wireless networks such as 2G/3G/4G mobile cellular networks, IEEE 802.11b/n/g/ac/ad WiFi networks, ad hoc networks, etc. To manage these diverse resources, the theory and architecture of resource mobility, and resource control algorithms based on resource flow are proposed. Based on these algorithms, the QoS of Information Flows can be assured. To increase the transmission capacity of high density HetNets, the different interference management schemes such as interference migration, mitigation and alignment are discussed. By combing interference management with the resource flow control, the user experiences in Ubiquitous Communications can be greatly enhanced.

Bing Zhao 赵冰, Senior Manager, MKT Execution Dept, Huawei

Bing Zhao graduated from Dalian University of Technology, and has worked in ICT industry for more than 15 years. He has worked in R&D and MKT in wireless, data communication and core network domain and has more project experience with T-Mobile, Orange, Telefonica, Vodafone, CMCC, etc. In 2010 Because of excellent work he was awarded Golden Staff of Huawei Technology. In 2011 the topic “Intelligent Packet Core Network” of his team was awarded “National Science and Technology Progress Award”.

Topic: SoftCOM - Reshaping The Future Network

Abstract: The carrier operator is facing severe challenges. OTTs are invading into the carrier’s traditional services domain, and on the other hand the cost keeps on a high level. Huawei SoftCOM strategy wants to help to realize the four transformations:

  • Service Reconstructing: beyond  connection, E2E ICT service based on cloud model
  • Network Reconstructing: Software defined network & Network  function virtualization
  • Operation Reconstructing: Internet style operation, all online, on-deman
  • Architecture Reconstructing: data oriented, Datacenter centric networks

With cloud technologies and Internetlized operation mode, SoftCOM will help the operator to transform to a ICT service provider.


Fred Chiang, 蒋居裕, CEO, Etu Corporation, Taiwan

Fred Chiang, a serial entrepreneur is currently focused on Etu Corporation as their CEO. Etu is a pioneer provider of Big Data platforms and End-to-End solutions for specific industries. Their primary focus is helping customers to discover, unlock, and utilize valuable information embedded in extremely large datasets through simple steps. Since February of 2015, after spinning-off from SYSTEX Group (the largest IT service provider in Taiwan; TSE:6214) Etu has been working tirelessly to dominate the Big Data enterprise market in Asia.

Fred Chiang is experienced in software product management, Go-to-Market planning, and technical marketing. He is an enthusiast about open source, open data, data science, and proactive in related communities. Currently, he is the Chairman of Taiwan Big Data Alliance (BDA) and Vice Chairman of Taiwan Open Data Alliance (ODA).

蒋居裕是一个连续创业家,悠游于软件与互联网两大领域 20 余年,从 2011 年开始,于台湾最大的资讯服务集团精诚资讯 (TSE:6214) 内部筹组亚洲原生品牌 Etu (知意图),带领团队进行 Big Data 平台产品与 End-to-End 行业解决方案的研发、市场营销、与通路布建工作。2015 2 月,Etu 独立成为公司,蒋居裕担任首任 CEO,继续带领团队伙伴,走向 Startup 创业与创新之路。

蒋居裕的专长为软件产业研究、产品发展策略、社群行销、互联网应用,并积极参与台湾开源、开放、与数据科学社群,是 Big Data Taiwan 的发起人,也是台湾「Big Data 跨域整合联盟」的会长与「Open Data 联盟」的副会长。

Topic: Big Data Dreams Come True

Abstract: What do people want from big data? Enterprises look for value from big data and insights from analytics. People recognize the discoveries from big data analytics as key information to create opportunities to implement innovation. What are the key factors for success in regards to the big data dream? How long will it take for big data systems to become mainstream and just become the norm? We can refer to the history of RDB/OLTP and EDW/OLAP as a model for the development of the big data market. What is the difference and what is similar? Can we build an ecosystem with multi-structured data in a lake to make big data dreams come true? This keynote will try to provide the answers to these questions.

 Alok Srivastava, Lead Architect, Microsoft, USA

Biography: Alok Srivastava is a lead architect with Microsoft services focusing on Internet of Things global scale architecture. He is focused on data ingestion from devices, in-flight analytics and scale models for machine learning with security, performance and distributed intelligence models that drive the modern IOT implementations. Alok has worked as CTO in Microsoft services and established CTO office that focuses on in-operation solution lifecycle. He was CTO for ISV team at Microsoft where he was responsible for working with Microsoft partners on scale architecture that can absorb emerging technology trends. Alok has worked as technology and business advisor to a number medium and large businesses enabling them to bring successful products to their respective markets.

Prior to joining Microsoft, Alok worked for Sybase and Oracle Corporation, leading product development and R&D teams. His played a key role in distributed replication management systems, database extensibility, multi-media management in relational databases, location based services, formalization of web services, service-oriented architecture and collaboration platform. Alok worked as CTO with his startup focusing on sales process optimization and automation. His research interest include distributed high performance and scale computing, internet of things (M2M architectures), cloud computing, service oriented architectures, complex high scale knowledge systems, data architecture and business intelligence.

Alok graduated from University of Louisville in 1994 after getting his bachelor’s degree from Indian Institute of Technology, Kanpur in 1991. Alok is a seasoned technology executive, accomplished presenter and innovator with several patents.  He has strong background in distributed large scale computing systems, transaction processing, data management, internet of things as well as complex system architectures.

Topic: Community of Machines and the Age of Next Industrial Automation

Summary: Not a single day goes by when you don’t hear about some new internet of thing for your home, fitness, car, factory, airplane, trucks, hospital or something else. These devices are fast becoming a norm. Individually these sensors can tell a lot but the real knowledge patterns start to emerge when these sensors start working together. We all know gathering individual sensor data and pulling it together in central compute environment can cause huge problems in data volumes and time to process it to react in a reasonable manner. This is where community of machines and distributed knowledge models start to make sense. Especially when you think about connected cars and driverless transportation, these communities of machine can be very beneficial to gather data fast, make sense of it quickly and react to it in timely manner. This keynote discusses a future view of connected machines and how that can lead to next industrial automation age.


Jerry Z. Xie, Ph.D. Scientist-in-Chief, China Electronic Technology Corporation (CETC), China

Dr. Jerry Xie is currently horned as a Specialist of the National 1000 Plan by Chinese Government. He joined China Telecommunications Corporation in September 2011. He led and founded China Telecom Cloud Computing (China TCC) Company and served as the founding CEO.  Under his leadership, the China TCC has generated total revenue of 10 million USD, 62 million RMB, increased by 41% in 2012. He received the award of Outstanding Manager of Chinese Model. Dr. Xie is currently Scientist-in-Chief of China Electronic Technology Corporation (CETC), China.

Prior to China Telecomm, he worked in the United States and held senior engineering and management positions with Intel, Sony Electronics, and Sun Microsystems. When served as General Manager of IT with Sony Electronics, he was instrumental to build RosettaNet based partner interface processes and the agile supply chain management systems to support Sony’s new VAIO business. When served as Senior Staff Engineering Manager at Intel, he led team delivered the first operational InfiniBand cluster; he was one of the initiators to establish the standard work groups at DMTF in Web service management WS-MAN and WS-CIM, and the contributor to the standard specifications. These works were implemented in Intel’s AMT products and led to the elastic cloud computing via Web service interfaces.

Topic: Big Data and Netflow Analysis System (presented by Mengyuan Zhu)

AbstractThis presentation is composed as two parts. It first reviews the technical advances of Hadoop-like big data cluster; then introduces Spark streaming model and applies it to a scenario where near real time network traffic analysis is needed.



CyberC 2015 Keynote Moderator: David Lu, Vice President, Business Solutions Development, AT&T, USA

David, Vice President – Business Solutions Development, is responsible for Business Sales and Contracting, Global Service Assurance, Managed Services Platforms, Field Operation Dispatching, and Business Billing Solutions at AT&T. He leads an organization with more than 3,000 people across the globe. David is a well-respected leader in software architecture and engineering, network performance and traffic management, business solutions, large data DB implementation/mining/analytics, software reliability and quality, and network operations process engineering. Since joining AT&T Bell Labs in 1987, he has served in various leadership positions at AT&T. He holds 26 patents and has frequently appeared as a guest speaker at technical and leadership seminars and conferences throughout the world.

Topic: Network Function Virtualization - A Carrier's Perspective

Abstract: Carriers are experiencing exponential traffic growth resulting from rapid increase in number of connected devices. This increase is fueled by growing number of smart devices, Internet of Things and wearables. Typically, carriers would address the rapidly increasing traffic volumes through deployment of additional network capacity which is a significant CAPEX challenge. New approach is needed to enable Carriers to achieve more with less and pivot from way we have done things in the past. In addition, our development methodologies must allow faster innovation and reduced service cycle times. There is also need to automate operation processes to reduce operating costs. These challenges require a new approach to how we deploy and manage our networks. It requires ability to leverage reusable common off the shelf hardware and deployment of network capabilities as software functions that can deliver much higher performance with a lower cost structure. That is the promise of Network Function Virtualization. This presentation will focus on how exponential growth in network demand can be efficiently supported using Network Function Virtualization.

Dr. Yiqing Zhou 周一青, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

Prof. Yiqing Zhou received the B.S. degree in communication and information engineering and the M.S. degree in signal and information processing from the Southeast University, China, in 1997 and 2000, respectively. In February 2004, she received the Ph.D. degree in electrical and electronic engineering from the University of Hong Kong, Hong Kong. Now she is a professor supported by the “100-Talent” Program in Wireless Communication Research Center, Institute of Computing Technology, Chinese Academy of Sciences. Dr. Zhou has published over 80 papers and book chapter in the areas of wireless mobile communications. She is a the associate/guest editor for IEEE Trans. Vehicular Technology, IEEE JSAC (Special issue on ``Broadband Wireless Communication for High Speed Vehicles'' and ``Virtual MIMO''), WCMC, ETT and JCST. She is the symposia co-chair of IEEE ICC2015, the symposium co-chair of ICC2014, TPC co-chair of ChinaCom2012, the tutorial co-chair of IEEE WCNC2013 and ICCC2014, and the workshop co-chair of SmartGridCom2012 and GlobeCom2011. Dr. Zhou also served as the member-at-large for IEEE NIC in 2013.

Topic: Communication-Aware Computing Resource Management in Super Base Station for Future 5G

Abstract: To support the huge mobile traffic in the big data era, future 5G targets to boost the capacity of mobile communication networks by thousands times. This talk focuses on a promising network architecture for 5G based on Super Base Station (Super BS). Super BS enables centralized mobile network architectures, where remote radio heads are distributed over the whole network to enable wireless access and all signal processing is centralized to reduce the network energy consumption and operating cost. In particular, concerning protocol processing, this talk presents recent researches on communication-aware computing resource management in Super BS. Firstly, aiming to improve the low computing resource efficiency caused by load discrepancy in mobile networks, a load diversity based allocation algorithm is proposed, which could improve the computing resource efficiency of conventional methods by 55%. Secondly, concerning the real-time protocol processing requirement in time domain duplexing (TDD) systems, a dynamic organization mechanism is proposed to carry out downlink protocol processing consecutively, which can guarantee the real-time processing and keep a high computing resource efficiency at the same time. Finally, future research topics are discussed.

Prof. Jiangzhou Wang 王江舟, University of Kent, UK

Jiangzhou Wang is currently the Chair of Telecommunications and Head of Broadband and Wireless Communications Research Group at the University of Kent, United Kingdom. He has published over 200 papers in international journals and conferences in the areas of wireless mobile communications, and has written/edited three books. Professor Wang is/was an Editor or Guest Editor for a number of international journals, such as IEEE Transactions on Communications and IEEE Journal on Selected Areas in Communications. He was the Technical Program Chairman of IEEE WCNC2013 in Shanghai and is the Executive Chairman of IEEE ICC2015 in London. He is a Fellow of IET and IEEE Distinguished Lecturer. He received the best paper award from IEEE GLOBECOM 2012.

Professor Wang’s research interests include wireless mobile communications, device to device (D2D) communications in cellular networks, massive MIMO and small-cell technologies, distributed antenna systems, and cooperative communications.

Topic: Intelligent Resource Allocation for Cellular Mobile Device to Device Communications

Abstract: Due to the rapid growth of smartphones and tablets, cellular mobile networks are facing challenges in providing high data rate services while maintaining a small environmental footprint, which are imposed by the rapidly increased mobile data traffic. Device-to-device (D2D) communication has been proposed to be an important function to cope with these challenges by allowing two or more user equipments (UEs) in proximity to directly communicate and transmit data traffic in the same frequency band used in the cellular network. This talk will present the challenges and research results especially in resource allocation for the cellular D2D communications.

Wenshuan Dang 党文栓, Chief Network Architect, Huawei Technologies Co., Ltd.
Wenshuan Dang joined Huawei since 1997, since then he has been serving as RF R&D engineer, project manager, director of wireless e2e solution management, and took current position since 2010. His current interests include ICT converged architecture, Internet of Things, 5G wireless… etc.
Abstract: The talk will be about holistic industry view of 5G which includes:
  1. Business driving factors and use cases
  2. Technological requirements, new air interface and E2E architecture
  3. Huawei 5G research progress and experience
  4. Challenges ahead and our suggestions for industry and academia

Big Data Summit Chair: Chung-Min Chen, Ph.D. 陳仲民, VP of Data Science, iconectiv, USA

Chung-Min currently leads the exploration of data science techniques for telecom applications that aim at improving mobile user experiences and business intelligence.  Previously he was Chief Scientist with Applied Communication Sciences working on data analytics and privacy involving large sets of smart grid, financial, and web data. Prior to that, he was Chief Scientist and Director of Telcordia Technologies, during which he led and contributed to projects in OSS, telematics, and M2M. He also headed Telcordia’s applied research center in Taiwan, overseeing R&D, consulting, and customer engagement.

His research interest spans across areas in database systems, machine learning, parallel & distributed computing, mobile data, and mobile ad hoc network.   He has published over 50 research papers in journals and conferences including The Journal of the ACM, IEEE Trans. on Knowledge and Data Engineering, ACM Transactions on Sensor Networks, IEEE Trans. on Mobile Computing, IEEE/ACM Trans. on Networking, IEEE J. SAC, INFOCOM, ACM SIGMOD, KDD, EDBT, ICDE, and ICDCS. He received the Newcomer Paper Award of ACM PODS 2002.

Chung-Min was an Adjunct Professor at National Taiwan University (2008-2011) and an invited speaker at the 2001 Data Mining Summer School at Rutgers University. He also served as the Chair of US ANSI expert group to Working Group 17 (Mobile Devices for ITS Applications) of ISO TC-204 (Intelligent Transportation System). He received PhD in Computer Science from University of Maryland at College Park and B.S. in Computer Science from National Taiwan University.

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