Salil Kanhere Email & Phone Number
@cse.unsw.edu.au
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Who is Salil Kanhere? Overview
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Salil Kanhere is listed as Program Director, Bachelor’s of Cyber Security at UNSW, a with 17217 employees, based in Greater Sydney Area, Australia. AeroLeads shows a work email signal at cse.unsw.edu.au and a matched LinkedIn profile for Salil Kanhere.
Salil Kanhere previously worked as Professor at Unsw and Associate Professor at Unsw. Salil Kanhere holds Phd, Electrical Engineering from Drexel University.
Email format at UNSW
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About Salil Kanhere
Salil Kanhere received M.S. and Ph.D. degrees from Drexel University, Philadelphia, USA. He is currently a Professor in the School of Computer Science and Engineering at UNSW Sydney, Australia, where he leads the Information Security and Privacy (ISPri) Research Group. His research interests include the Internet of Things, cyber-physical systems, blockchain, pervasive computing, cybersecurity, and applied machine learning. Salil is affiliated with the UNSW Institute of Cybersecurity (IFCYBER). He has held visiting appointments at the Institute of Infocom Research Singapore, Technical University Darmstadt, University of Zurich, Technical University of Graz and RWTH Aachen. He is a Distinguished Member of the ACM and was an ACM Distinguished Speaker (2019-2021). He is an IEEE Computer Society Distinguished Visitor and a Senior Member of the IEEE. He received the Friedrich Wilhelm Bessel Research Award (2020) and Humboldt Research Fellowship (2014) from the Alexander von Humboldt Foundation in Germany. He serves as the Editor in Chief of the Ad Hoc Networks journal and as an Associate Editor of the IEEE Transactions On Network and Service Management, Computer Communications, and Pervasive and Mobile Computing (Best Editor Award, 2019). He has received 8 Best Paper, 2 Best Poster and 2 Best Demo awards and serves on the advisory board of 3 SMEs. He has served as the General Chair and Program Chair of several IEEE/ACM international conferences, including PerCom, ICBC, LCN, EWSN, DCOSS, WoWMoM, EWSN and CNSM. He has co-authored a book titled Blockchain for Cyberphysical Systems, released by Artech House.
Listed skills include Wireless Sensor Networks, Algorithms, Computer Science, Latex, and 29 others.
Salil Kanhere's current company
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Salil Kanhere work experience
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Professor
Current
Associate Professor
Senior Lecturer
Lecturer
Editor In Chief, Ad Hoc Networks
CurrentAd Hoc Networks Journal - https://www.journals.elsevier.com/ad-hoc-networks
Conjoint Researcher
Current
Visiting Professor
Distinguished Speaker
Faculty Associate
Collaborating on a research project titled "Generalised Participatory Sensing" with the Sense and Sense-abilities group at I2R
Conjoint Researcher
Humboldt Research Fellow
Research Fellowship at TU Darmstadt supported by the Alexander von Humboldt Foundation
Research Assistant
Salil Kanhere education
Phd, Electrical Engineering
B.E., Electrical Engineering
Education record
Education record
Frequently asked questions about Salil Kanhere
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What company does Salil Kanhere work for?
Salil Kanhere works for UNSW.
What is Salil Kanhere's role at UNSW?
Salil Kanhere is listed as Program Director, Bachelor’s of Cyber Security at UNSW.
What is Salil Kanhere's email address?
AeroLeads has found 1 work email signal at @cse.unsw.edu.au for Salil Kanhere at UNSW.
Where is Salil Kanhere based?
Salil Kanhere is based in Greater Sydney Area, Australia while working with UNSW.
What companies has Salil Kanhere worked for?
Salil Kanhere has worked for Unsw, The University Of New South Wales, Elsevier, Csiro'S Data61, and Rwth Aachen University.
How can I contact Salil Kanhere?
You can use AeroLeads to view verified contact signals for Salil Kanhere at UNSW, including work email, phone, and LinkedIn data when available.
What schools did Salil Kanhere attend?
Salil Kanhere holds Phd, Electrical Engineering from Drexel University.
What skills is Salil Kanhere known for?
Salil Kanhere is listed with skills including Wireless Sensor Networks, Algorithms, Computer Science, Latex, Signal Processing, Programming, Matlab, and Machine Learning.
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