- Dr. Vidyasagar Potdar

Report
Dr. Vidyasagar Potdar
B.Sc. M.S. PhD
Research Scholar
Symbiosis Institute of Telecom
Management
Symbiosis International University
Pune, Maharashtra, India
Senior Research Fellow
School of Information Systems
Curtin Business School
Curtin University, Perth, Australia
Curtin Business School
Curtin Business School
Qualifications
• PhD (Information Security)
▫ Curtin University, Perth, Australia
• Masters (Software Engineering)
▫ University of Newcastle, Newcastle, Australia
• Bachelor (Science)
▫ Gujarat University, Ahmedabad, India
Key Achievements
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Best Researcher of the Year Award in 2010, 2011
Funding around $1 million dollars
5 PhD Completions (1 received chancellors commendation award)
125 scientific publications (IEEE, ACM, Springer, Elsevier, etc.)
2 Keynote Presentations (UIC 2009, IEEE DEST 2011)
1053 Citations, H Index 17, i10 Index 31
12 International Journal Publications in 2013
Youngest PhD in Curtin University till 2012
13 years of full time research experience
25 International Workshops in IEEE, ACM
Experience
• Senior Research Fellow
▫ 2010 – till date
• Research Fellow
▫ 2006 – 2010
• Associate Lecturer
▫ 2003 - 2006
Multi-Disciplinary Research Centre
Organizational Structure
Research Domains
Research Area Management
Research
Research
Administration
Research
Broad Research Areas
• Information Security
▫ Anti Spam
▫ Steganography, Digital Watermarking
• Information Quality
▫ Web 2.0
▫ Social Media
▫ User Generated Content
• Cyber Physical Systems
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Smart Grids
Wireless Sensor Networks, RFID
Web of Things, Internet of Things
Energy Management
Smart Home Automation
Sustainability
Emission Management
Anti Spam Research
• Awareness, Knowledge and Perception of Online
Spam
• Characterisation of web spambots using selforganising maps
• How much money do spammers make from your
website?
• Spamming for science: Active measurement in Web
2.0 abuse research
• Rule-Based On-the-fly Web Spambot Detection Using
Action Strings
• Web Spambot Detection Based on Web Usage
Behaviour
• Behaviour-Based Web Spambot Detection by
Utilising Action Time and Action Frequency
• Definition of Spam 2.0: New Spamming Boom
• Spam 2.0: The Problem Ahead
• HoneySpam 2.0: Profiling Web Spambot Behaviour
Prof. Emeritus
William F Smyth
McMaster Uni
Canada
Dr. Kevin Chai,
Research Fellow
Uni. Of New South
Wales, Australia
Dr. Pedram
Hayati. Senior
Security Consultant
Stratsec, Australia
Dr. Alex Talevski
CTO, BlueAnt
Wireless, Australia
Dr. Farida
Ridzuan, Senior
Lecturer, Malaysia
Smart Grid Research
• Design of Smart Grid Prosumer
Communities via Online Social Networking
Communities
• A Methodology to find Influential
Prosumers in Prosumer-CommunityGroups
• Goal Oriented Prosumer Community
Groups for Smart Grid
• Framework for Formation of Prosumer
Community Groups in Smart Grids
• Framework to Manage Multiple Goals in
Community based Energy Sharing Network
in Smart Grid
Dr. Vidyasagar
Potdar Senior
Research Fellow,
Curtin University
Prof. Tharam
Dillon
La Trobe Uni
Australia
Dinusha
Rathnayaka
PhD Scholar
Curtin University
Dr. Omar
Hussain
Research Fellow
Curtin University
Utility Grid
Power Distribution
and Transmission
Renewable and nonrenewable
power generation
Smart Grid
Research
Smart-grid system operation/management
Smart -grid Energy
requiremet
Accumulative
energy supply
Community Management Platform
Energy
goal
Accumulative
energy supply
Energy
goal
Community
Gateway
Smart storage
Accumulative
energy supply
Community
Gateway
Smart storage
HAN
HAN
SMI
20kWh
SMI
HAN
HAN
30kWh
Community group1 : 1050kWh, Solar sources
Prosumer community groups
SMI
SMI
60kWh
80kWh
Community group1 : 51100kWh, Solar+Wind sources
Prosumer Community Groups
Proposals to address
the challenges in
prosumer community
based smart grid
Input
1.Definition of
community-groups
2. Prosumer
Recruitment
Historic energy
profiles
New prosumers
Segmentation
of profiles
Characterize groups
with prequalification
criteria
Output
Effective prosumercommunity groups
Prosumer
Evaluation
Identify dynamic
prosumers
Sustainable group
formation and
growth
3. Goal definition
Multiple conflicting
objectives
Negotiation
Achievable goal for
each community-group
Inspired goal oriented
members
4. Ranking of members
Prosumers’ Assessment
behaviours
criteria
Prosumer
ranking
Identify influential
members by ranking
Fair privilege
assignment
Proposal 2: Prosumer recruitment to prosumer
community groups (PCGs)
Proposal 1:Definition of prosumer community-groups
(PCGs)
Registered Prosumers
Prosumers’ energy
behaviour data
Time series data
Clustersers
Flexible
Community
Membership
Evaluation 1
Feasible
number of
prosumer
community
groups
(PCGs)
Data Filtering
Data conversion
A. J. D. Rathnayaka and V. Potdar, 2013. Goal Oriented
Prosumer Community Groups for Smart Grid -Issues,
Challenges and Proposals, IEEE Technology and Society
Magazine, ERA Level B, Accepted, Impact Factor 0.542, IEEE
Evaluation period
Time-series
clustering
Data Acquisition
Prequalification
criteria
Membership
Evaluation 2
PCGn
PCG n
Prequalification
criteria definition
Evaluation n
PCG2
Membership Categories
PCG1
Proposal 3: Mutual goal definition
Complying
Vs. Noncomplying
members
PCG
coordinator
Overall
evaluation
Fixed
Community
Membership
PCG2
PCG1
Cost objective
Customer
Objective
PCG1
1
goa
al-
Su
b-
-g o
l-2
Goal
Programming
Model
Demand Objective
b
Su
Participation
Objective
PCG
coordinator
PCG2
Energy buying
member
Standalone
member
Intra-group energy sharing
Resource Objective
Income
Objective
Su
b
-go
A. J. Rathnayaka, V. Potdar, T. Dillon, 2013. A Methodology to
find Influential Prosumers in Prosumer-CommunityGroups. IEEE Transactions on Industrial Informatics, Special
Issue on Building Automation, Smart Homes, and Communities,
Issue 99. ERA Level A, Impact Factor 3.381, Accepted for
Publication, IEEE Transactions
A. J. D. Rathnayaka, V. Potdar, 2013. Prosumer Recruitment
Framework for Prosumer Community Groups in Smartgrid. International Journal of Computer Systems Science &
Engineering. Accepted Impact Factor 0.314
Proposal 4: Ranking of members
Surplus energy from members after fulfilling the local demand
Sustainability
Objective
Concise overview of
proposed methodologies
Energy selling member
Prosumer-community-group
A. J. D. Rathnayaka and V. Potdar, 2013. An Innovative
Framework for Formation of Prosumer Community
Groups in Smart Grids, Journal of Grid & Utility
Computing (currently under review), SCOPUS, Compendex, ACM
DL, DBLP, Inspec, ERA Journal
A J. D Rathnayaka, V. Potdar, T. Dillon, 2013. Framework to
Manage Multiple Goals in Community based Energy
Sharing Network in Smart Grid, International Journal of
Electrical Power and Energy Systems (currently under
review) ERA Journal
Prosumer Assessment and Ranking Scheme
al 4
Assessment criteria definition
Criterion
Criterion
Criterion
Criterion
A. Meet the energy agreement
B. Produce excess energy than agreed
C. Offering energy to the members in need
D. Long term historic energy behaviors
PCG n
Prosumer-community-groups (PCGs)
A. J. Dinusha Rathnayaka, Vidyasagar M. Potdar, Samitha J.
Kuruppu, 2012. Design of Smart Grid Prosumer
Communities via Online Social Networking
Communities,International Journal for Infonomics (IJI),
Volume 5, Issue 1/2, March/June 2012, pp.544-556.
Criteria prioritization
Point allocation
Prosumer ranking
A. J. Rathnayaka, V. Potdar, M. H. Ou, 2012. Prosumer
management in socio-technical smart grid. International
Information Technology Conference (CUBE 2012), pp. 483-489,
Pune, India, 3-5 September 2012. ACM Digital Library, DBLP,
SCOPUS
Cyber Physical Systems Research
Dr. Vidyasagar
Potdar Senior
Research Fellow,
Curtin University
Keynote Presentations
Dillon, T., Potdar, V., Singh, J., Talevski, A., 2011. Cyber Physical Systems:
Challenges in Sensor Actuator Networks, In: Proceedings of the 5th
International Conference on Digital Ecosystems & Technologies (DEST2011), June
2011.
Dillon, T., Talevski, A., Potdar, V., Chang, E., 2009. Web of things as a framework
for ubiquitous intelligence and computing, In: Proceedings of the Ubiquitous
Intelligence and Computing (UIC2009), Lecture Notes in Computer Science, vol.
5585, pp. 2-13.
Prof. Tharam
Dillon
La Trobe Uni
Australia
Sustainability Research
• Analysis of an Airport Ecosystem from
Emissions Perspective.
• Evaluation of Wireless Home
Automation Technologies for Smart
Mining Camps in Remote Western
Australia.
• Energy Resource Management in Smart
Home: State of the Art and Challenges
Ahead.
Dr. Vidyasagar
Potdar Senior
Research Fellow,
Curtin University
Dinusha
Rathnayaka
PhD Scholar
Curtin University
Yee Wen Lo
Valencia
Masters Scholar
Curtin University
Smart Homes & Energy
Management
Evaluation of Wireless Home Automation Technologies
Transport & Logistics
Research
Transport & Logistics Research $404,000
Congestion Management using Wireless Sensor Networks & Data Mining
Energy Management & Emission
Control Research
Research Management &
Administration
Research Management Activities
• Cultivate a strong research culture at Curtin
• Train selected faculty members from all over Curtin in their
respective areas of research
▫ Increase the ratio of staff vs. number of publications
• Secure external funding
• Supervise PhD students
• Build a strong publication record for Curtin University
• Organize or Host World Class International Conferences
Research Management Activities
• Organized Staff Retreat for Research Staff
• Organized Retreat for PhD Student
• Develop research policies
• Develop research handbook
• Develop institution governance structure
• Drive research commercialization
• Drive Industry Projects
Research Management Activities
• Recruit high quality international PhD students
• Develop research focus areas and research centers
under the umbrella of DEBII
• Coordinate and Collaborate with Professors in
Curtin, across Australia and around the globe and
conduct joint research projects
• Invite renowned international researchers at Curtin
University
Research Management Activities
• Developed partnerships with International Universities
and signed MoU
• Developed a advisory committee for DEBII and organize
board meetings
• Liaise with the relevant departments at Curtin University
• Developed research KPIs for research active staff
• Developed incentive structure to support research
• Guidance in Journal and Conference Selection
Thank you very much
[email protected]
[email protected]
www.potdar.info
Request a copy of
this slides by
email
Visit my website
www.potdar.info
Thank you
Vidyasagar Potdar
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