Ramesh Govindan | |
---|---|
Born | March 12, 1953 |
Nationality | United States |
Alma mater | Indian Institute of Technology Madras University of California, Berkeley |
Awards | IEEE Internet Award (2018) |
Scientific career | |
Fields | Computer science |
Institutions | International Computer Science Institute University of Southern California |
Doctoral advisor | David P. Anderson |
Ramesh Govindan is an Indian-American professor of computer science. He is the Northrop Grumman Chair in Engineering and Professor of Computer Science and Electrical Engineering at the University of Southern California.
Govindan obtained a Bachelor of Technology degree from the Indian Institute of Technology Madras and then received master's and Ph.D degrees from the University of California, Berkeley. He then became an associate professor at the University of Southern California, where he researches topology, IP forwarding, and wireless sensor networking. [1]
Govindan was later named the Northrop Grumman Chair in Engineering and Professor of Computer Science and Electrical Engineering. [2] He is a former editor-in-chief of the journal IEEE Transactions on Mobile Computing . [3] He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM). [4] [5]
In 2000, he along with Kannan Varadhan and Deborah Estrin analyzed a way to prevent oscillations in topologies. During the study he have discovered that an inter-domain routing protocol called hop-by-hop is responsible for the unconstrained route selection and therefore the route get oscillated. However, if "safe" mode is enabled, it can shorten route selection as well as the number of errors. [6] A year later, he peered up with Deborah Estrin and Deepak Ganesan of UCLA as well as Scott Shenker to develop braided multipath routing scheme which he claimed to be important alternative for energy-saving recovery after lone and patterned failures. [7] On August 14, 2001 he used simulation to evaluate Geographic and Energy Aware Routing protocol and discovered that it lives longer than its non-geographic energy aware routing counterpart. [8]
In 2002, he and colleagues from both International Computer Science Institute and UCLA have developed a geographic hash table which was later used along with data-centric storage system. [9] In 2004, while working with researchers at the University of California, Los Angeles he discussed wireless sensor network system which is called Wisden which according to him and his colleagues will use end-to-end and hop-by-hop transport recovery which wouldn't require global clock synchronization to transport data. During the same study they have developed wavelet-based technique that will use limited amount of data bandwidth for low-power wireless radios. [10]
In 2006, Govindan and his colleagues have developed a compact version of a pursuit–evasion application called Tenet. [11] In 2010 Govindan, Jeongyeup Paek and Joongheon Kim used smartphones to evaluate remote area power supply. He and his colleagues found that this prototype implementation increased phone lifetimes 3.8 times more than GPS. [12]
Wireless sensor networks (WSNs) refer to networks of spatially dispersed and dedicated sensors that monitor and record the physical conditions of the environment and forward the collected data to a central location. WSNs can measure environmental conditions such as temperature, sound, pollution levels, humidity and wind.
Clock synchronization is a topic in computer science and engineering that aims to coordinate otherwise independent clocks. Even when initially set accurately, real clocks will differ after some amount of time due to clock drift, caused by clocks counting time at slightly different rates. There are several problems that occur as a result of clock rate differences and several solutions, some being more acceptable than others in certain contexts.
Scott J. Shenker is an American computer scientist, and professor of computer science at the University of California, Berkeley. He is also the leader of the Extensible Internet Group at the International Computer Science Institute in Berkeley, California.
Geographic routing is a routing principle that relies on geographic position information. It is mainly proposed for wireless networks and based on the idea that the source sends a message to the geographic location of the destination instead of using the network address. In the area of packet radio networks, the idea of using position information for routing was first proposed in the 1980s for interconnection networks. Geographic routing requires that each node can determine its own location and that the source is aware of the location of the destination. With this information, a message can be routed to the destination without knowledge of the network topology or a prior route discovery.
A visual sensor network or smart camera network or intelligent camera network is a network of spatially distributed smart camera devices capable of processing, exchanging data and fusing images of a scene from a variety of viewpoints into some form more useful than the individual images. A visual sensor network may be a type of wireless sensor network, and much of the theory and application of the latter applies to the former. The network generally consists of the cameras themselves, which have some local image processing, communication and storage capabilities, and possibly one or more central computers, where image data from multiple cameras is further processed and fused. Visual sensor networks also provide some high-level services to the user so that the large amount of data can be distilled into information of interest using specific queries.
Randy Howard Katz is an American computer scientist. He is a distinguished professor emeritus at University of California, Berkeley of the electrical engineering and computer science department.
Chalermek Intanagonwiwat is a computer scientist best known for his work on directed diffusion under the supervision of Deborah Estrin, Ramesh Govindan, and John Heidemann. In 2013 he moved to San Jose, California to work at Cisco Systems, Inc. Intanagonwiwat earned his bachelor's degree in Computer Engineering from King Mongkut's Institute of Technology Ladkrabang in Thailand and pursued his M.S. and Ph.D. degrees in Computer Science at the University of Southern California, USA. He worked as postdoc researcher at Rutgers University, USA. His research interests include computer networks and distributed systems. From 2003 - 2013, he taught in the Department of Computer Engineering, Chulalongkorn University.
IEEE Internet Award is a Technical Field Award established by the IEEE in June 1999. The award is sponsored by Nokia Corporation. It may be presented annually to an individual or up to three recipients, for exceptional contributions to the advancement of Internet technology for network architecture, mobility and/or end-use applications. Awardees receive a bronze medal, certificate, and honorarium.
Deborah Estrin is a Professor of Computer Science at Cornell Tech. She is co-founder of the non-profit Open mHealth and gave a TEDMED talk on small data in 2013.
Frances Foong Chu Yao is a Taiwanese-American mathematician and theoretical computer scientist. She is currently a Chair Professor at the Institute for Interdisciplinary Information Sciences (IIIS) of Tsinghua University. She was Chair Professor and Head of the Department of computer science at the City University of Hong Kong, where she is now an honorary professor.
Hari Balakrishnan is the Fujitsu Professor of Computer Science and Artificial Intelligence in the Department of Electrical Engineering and Computer Science at MIT, and the Co-founder and CTO at Cambridge Mobile Telematics.
Subhash Suri is an Indian-American computer scientist, a professor at the University of California, Santa Barbara. He is known for his research in computational geometry, computer networks, and algorithmic game theory.
Margaret Martonosi is an American computer scientist who is currently the Hugh Trumbull Adams '35 Professor of Computer Science at Princeton University. Martonosi is noted for her research in computer architecture and mobile computing with a particular focus on power-efficiency.
Victor Bahl is an American Technical Fellow and CTO of Azure for Operators at Microsoft. He started networking research at Microsoft. He is known for his research contributions to white space radio data networks, radio signal-strength based indoor positioning systems, multi-radio wireless systems, wireless network virtualization, edge computing, and for bringing wireless links into the datacenter. He is also known for his leadership of the mobile computing community as the co-founder of the ACM Special Interest Group on Mobility of Systems, Users, Data, and Computing (SIGMOBILE). He is the founder of international conference on Mobile Systems, Applications, and Services Conference (MobiSys), and the founder of ACM Mobile Computing and Communications Review, a quarterly scientific journal that publishes peer-reviewed technical papers, opinion columns, and news stories related to wireless communications and mobility. Bahl has received important awards; delivered dozens of keynotes and plenary talks at conferences and workshops; delivered over six dozen distinguished seminars at universities; written over hundred papers with more than 65,000 citations and awarded over 100 US and international patents. He is a Fellow of the Association for Computing Machinery, IEEE, and American Association for the Advancement of Science.
Edward W. Knightly is an American professor and the department chair of Electrical and Computer Engineering at Rice University in Houston, Texas. He joined the Rice University faculty in 1996. He heads the Rice Networks Group.
Venkata Narayana Padmanabhan is a computer scientist and principal researcher at Microsoft Research India. He is known for his research in networked and mobile systems. He is an elected fellow of the Indian National Academy of Engineering, Institute of Electrical and Electronics Engineers and the Association for Computing Machinery. The Council of Scientific and Industrial Research, the apex agency of the Government of India for scientific research, awarded him the Shanti Swarup Bhatnagar Prize for Science and Technology, one of the highest Indian science awards for his contributions to Engineering Sciences in 2016.
Yunhao Liu is a Chinese computer scientist. He is the Dean of Global Innovation Exchange (GIX) at Tsinghua University.
Nader Bagherzadeh is a professor of computer engineering in the Department of Electrical Engineering and Computer Science at the University of California, Irvine, where he served as a chair from 1998 to 2003. Bagherzadeh has been involved in research and development in the areas of: Computer Architecture, Reconfigurable Computing, VLSI Chip Design, Network-on-Chip, 3D chips, Sensor Networks, Computer Graphics, Memory and Embedded Systems. Bagherzadeh was named Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2014 for contributions to the design and analysis of coarse-grained reconfigurable processor architectures. Bagherzadeh has published more than 400 articles in peer-reviewed journals and conferences. He was with AT&T Bell Labs from 1980 to 1984.
Subsea Internet of Things (SIoT) is a network of smart, wireless sensors and smart devices configured to provide actionable operational intelligence such as performance, condition and diagnostic information. It is coined from the term The Internet of Things (IoT). Unlike IoT, SIoT focuses on subsea communication through the water and the water-air boundary. SIoT systems are based around smart, wireless devices incorporating Seatooth radio and Seatooth Hybrid technologies. SIoT systems incorporate standard sensors including temperature, pressure, flow, vibration, corrosion and video. Processed information is shared among nearby wireless sensor nodes. SIoT systems are used for environmental monitoring, oil & gas production control and optimisation and subsea asset integrity management. Some features of IoT's share similar characteristics to cloud computing. There is also a recent increase of interest looking at the integration of IoT and cloud computing. Subsea cloud computing is an architecture design to provide an efficient means of SIoT systems to manage large data sets. It is an adaption of cloud computing frameworks to meet the needs of the underwater environment. Similarly to fog computing or edge computing, critical focus remains at the edge. Algorithms are used to interrogate the data set for information which is used to optimise production.
In computer science, macroprogramming is a programming paradigm aimed at expressing the macroscopic, global behaviour of an entire system of agents or computing devices. In macroprogramming, the local programs for the individual components of a distributed system are compiled or interpreted from a macro-program typically expressed by a system-level perspective or in terms of the intended global goal. The aim of macroprogramming approaches is to support expressing the macroscopic interactive behaviour of a whole distributed system of computing devices or agents in a single program, or, similarly, to promote their collective intelligence. It has not to be confused with macros, the mechanism often found in programming languages to express substitution rules for program pieces.
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