Patrick Siddavaatam, Ph.D.

AI ML Director

Research Expertise

IoT Communications
IoT Hardware High Level Synthesis
IoT Lightweight Cryptography
Machine Learning
Artificial Intelligence
Computer Science Applications
Software
Applied Mathematics
Computer Networks and Communications
Computational Theory and Mathematics
Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering
Surfaces, Coatings and Films
Condensed Matter Physics
Electronic, Optical and Magnetic Materials
Safety, Risk, Reliability and Quality
Strategy and Management
Pharmaceutical Science
Marketing
Organizational Behavior and Human Resource Management
Drug Discovery
Pharmacology
Theoretical Computer Science
Logic

About

Experienced Multi-Disciplinary Research Leader: As a seasoned multi-disciplinary research leader, I have successfully navigated the realms of academia and industry. My diverse experience has honed my ability to bridge the gap between theoretical exploration and real-life applications, translating cutting-edge research into tangible innovations. <br> Passionate Problem Solver: I am deeply passionate about utilizing machine learning-enabled optimization techniques to solve intricate real-world problems. My relentless drive to push the boundaries of AI technology motivates me to seek novel solutions and unlock new possibilities in various domains. AI for Autonomous Systems: With a keen interest in autonomous systems, I have spearheaded research efforts in the development of AI technologies for autonomous vehicles, contributing to the advancement of safe and efficient transportation. Wireless Communications and IoT Enthusiast: I am enthusiastic about wireless communication technologies and their seamless integration with IoT systems. Through my research, I aim to revolutionize connectivity and foster a more interconnected world. Quantum Computing Pioneer: As a trailblazer in quantum computing, I explore the potential of quantum algorithms to address complex computational challenges and complement classical computing techniques. Hardware Synthesis Innovator: My expertise extends to hardware synthesis and acceleration, where I lead the way in designing high-performance computing systems tailored to AI and ML workloads. Market Basket Analytics and Recommender Systems: I specialize in the development of sophisticated market basket analytics and recommender systems, revolutionizing personalization and customer experiences in diverse industries. Advancing Healthcare Analytics and AI in Medicine: My dedication to advancing healthcare analytics has driven me to leverage AI and ML techniques to extract valuable insights from medical data, with the potential to transform patient care and clinical decision-making. Effective Team Builder and Communicator: Recognized as an effective team builder and communicator, I thrive in fostering a collaborative and inclusive environment where diverse perspectives flourish. My leadership acumen enables me to lead high-performing teams and drive innovation with a shared vision. I hold a PhD in Electrical and Computer Engineering, with a primary focus on optimization techniques, advanced mathematical modeling and algorithm development, enabling me to tackle complex challenges in AI and machine learning with a unique approach.

Publications

Distributed Attestation Revocation in Self-Sovereign Identity
2022 IEEE 47th Conference on Local Computer Networks (LCN)
2022
Keyword and Keyphrase Extraction using Newton's Law of Universal Gravitation
2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)
2017
Tightly Secure PKE Combiner in the Quantum Random Oracle Model
Cryptography
2022
Grey Wolf Optimizer Driven design space exploration: A novel framework for multi-objective trade-off in architectural synthesis
Swarm and Evolutionary Computation
2019
A novel multi-objective optimizer framework for TDMA-based medium access control in IoT
CSI Transactions on ICT
2020
intel-LEACH: An optimal framework for node selection using dynamic clustering for wireless sensor networks
2017 12th International Conference for Internet Technology and Secured Transactions (ICITST)
2017
An adaptive security framework with extensible computational complexity for cipher systems
2016 11th International Conference for Internet Technology and Secured Transactions (ICITST)
2016
A high level synthesis design flow with a novel approach for efficient design space exploration in case of multi-parametric optimization objective
Microelectronics Reliability
2010
A novel architecture with scalable security having expandable computational complexity for stream ciphers
Facta universitatis - series: Electronics and Energetics
2017
A New Adaptable Construction of Modulo Addition with Scalable Security for Stream Ciphers
Network and System Security
2016
Splitting Atoms in Relational Algebras
Relational and Algebraic Methods in Computer Science
2011
Relational and Algebraic Methods in Computer Science
Lecture Notes in Computer Science
2011
A New Bio-heuristic Hybrid Optimization for Constrained Continuous Problems
Transactions on Computational Science XXXVIII
2021
A Delta diagram synthesis for IoT optimization with grey wolf driven multi-objective automation
Unknown Venue
2021
A Delta-Diagram Based Synthesis for Cross Layer Optimization Modeling of IoT
Lecture Notes in Computer Science
2018
Spatial Reasoning and Modal Logic
Qualitative Spatial and Temporal Reasoning
2013
A Novel Machine Learning Framework for Covid-19 Image Classification with Bio-heuristic Optimization
Transactions on Computational Science XXXIX
2022
Novel Hybrid GWO-WOA and BAT-PSO Algorithms for Solving Design Optimization Problems
Transactions on Computational Science XXXVIII
2021
A New Adaptive Security Architecture with Extensible Computation Complexity for Generic Ciphers
Journal of Hardware and Systems Security
2019
Qualitative Reasoning
Advanced Artificial Intelligence
2011
Smartphone's hotspot security issues and challenges
2016 11th International Conference for Internet Technology and Secured Transactions (ICITST)
2016
An error-locating signature analyzer to identify faulty units in digital systems
Unknown Venue
2022
Relational and algebraic methods in computer science
The Journal of Logic and Algebraic Programming
2012
Sorting Algorithms
Data Structures and Algorithms: A First Course
1996

Education

Ryerson University

Ph.D, Electrical and Computer Engineering / May, 2018

Toronto, Ontario, Canada

Experience

Toronto Metropolitan University

Director and PDF / May, 2018Present

• Orchestrating a game-changing NSERC-funded project with a dynamic team of researchers, where we harnessed AI/ML tools to architect novel algorithms and systems, revolutionizing resource management across diverse engineering domains. • Pioneering the development of a highly accurate machine learning-based human activity recognition system in 2022, leveraging market basket analysis to predict and classify human activities based on intricate data patterns. The real-world deployment exhibited unprecedented accuracy rates, validating its potential for industry-wide adoption. • Trailblazing the creation of a predictive model for patient admission in the Emergency Room using advanced market basket analysis in 2023. Our state-of-the-art system tapped into historical medical records, achieving remarkable precision in forecasting patient admission rates.

Links & Social Media

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