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
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Dr. Vidyasagar Potdar B.Sc. M.S. PhD Research Scholar Symbiosis Institute of Telecom Management Symbiosis International University Pune, Maharashtra, India.
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Dr. Vidyasagar Potdar B.Sc. M.S. PhD
Research ScholarSymbiosis Institute of Telecom ManagementSymbiosis International UniversityPune, Maharashtra, India
Senior Research FellowSchool of Information Systems Curtin Business SchoolCurtin 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
•Best Researcher of the Year Award in 2010, 2011
•Funding around $1 million dollars•5 PhD Completions (1 received chancellors commendation award)
•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
ResearchResearch
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▫ 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 self-
organising 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
Dr. Farida Ridzuan, Senior
Lecturer, Malaysia
Dr. Alex Talevski
CTO, BlueAnt Wireless, Australia
Dr. Kevin Chai, Research Fellow
Uni. Of New South Wales,
Australia
Dr. Pedram Hayati. Senior
Security Consultant Stratsec, Australia
Prof. Emeritus William F
SmythMcMaster Uni
Canada
Smart Grid Research
• Design of Smart Grid Prosumer Communities via Online Social Networking Communities
• A Methodology to find Influential Prosumers in Prosumer-Community-Groups
• 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 Dinusha
RathnayakaPhD Scholar
Curtin University
Dr. Omar Hussain
Research FellowCurtin University
Dr. Vidyasagar Potdar Senior
Research Fellow, Curtin University
Prof. Tharam Dillon
La Trobe UniAustralia
Utility Grid
Renewable and nonrenewable power generation
Power Distribution and Transmission
Prosumer community groups
Community group1 : 10-50kWh, Solar sources
Community Management Platform
Community Gateway Community
Gateway
Accumulative energy supply
Smart-grid system operation/ management
Smart -grid Energy requiremet
Energy goal
Energy goal
Accumulative energy supply
Accumulative energy supply
Smart storage
SMI
20kWh
HAN
SMI
30kWh
HAN
Community group1 : 51-100kWh, Solar+Wind sources
SMI
60kWh
HAN
SMI
80kWh
HAN
Smart storage
New prosumers
Prosumer Evaluation
Identify dynamic prosumers
Historic energy profiles
Segmentation of profiles
Characterize groups with prequalification
criteria
Negotiation
Achievable goal for each community-group
Prosumers’ behaviours
Prosumer ranking
Assessment criteria
1.Definition of community-groups
Effective prosumer- community groups
Input
2. Prosumer Recruitment
Sustainable group formation and
growth
3. Goal definition
OutputInspired goal oriented
members
4. Ranking of members
Fair privilege assignment
Identify influential members by ranking
Multiple conflicting objectives
Smart Grid Research
Prosumer Community Groups
Proposals to address the challenges in
prosumer community based smart grid
Prosumer-community-groups (PCGs)
Sub-goal-1
Sub
-goa
l-2
Sub-goal-4
PCG2 PCG n
Proposal 3: Mutual goal definition
Prosumer Assessment and Ranking Scheme
Assessment criteria definition
Criterion A. Meet the energy agreementCriterion B. Produce excess energy than agreedCriterion C. Offering energy to the members in needCriterion D. Long term historic energy behaviors
Point allocation
Prosumer ranking
Intra-group energy sharing
Energy selling member
Prosumer-community-group
Energy buying member Standalone
member
Surplus energy from members after fulfilling the local demand
Criteria prioritization
Proposal 4: Ranking of members
Prosumers’ energy behaviour data
Data Acquisition
Data Filtering
Data conversion
Time-series clustering
Prequalification criteria definition
Membership Categories
Membership
PCG1
PCG2
PCG n
Evaluation 2
Evaluation n
Flexible Community Membership
Fixed Community Membership
Overall evaluation
Evaluation period
Complying Vs. Non-
complying members
Registered Prosumers
Pre-qualification
criteria
Evaluation 1
Proposal 1:Definition of prosumer community-groups (PCGs)
Proposal 2: Prosumer recruitment to prosumer community groups (PCGs)
PCG1
PCG coordinator
Clustersers
PCGcoordinator
Income Objective
Customer Objective
Demand Objective
Participation Objective
Sustainability Objective
Resource ObjectiveGoal Programming
Model
Cost objective
Time series data
Feasible number of prosumer
community groups (PCGs)
PCG1
PCG2
PCGn
Concise overview of proposed methodologiesA. 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, IEEEA. J. Rathnayaka, V. Potdar, T. Dillon, 2013. A Methodology to find Influential Prosumers in Prosumer-Community-Groups. 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 Smart-grid. International Journal of Computer Systems Science & Engineering. Accepted Impact Factor 0.314
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
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.
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
Prof. Tharam Dillon
La Trobe UniAustralia
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.
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.
Dinusha RathnayakaPhD Scholar
Curtin University
Dr. Vidyasagar Potdar Senior
Research Fellow, Curtin University
Yee Wen Lo Valencia
Masters ScholarCurtin 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