Research · IEEE Transactions · Published
Cross-Domain Fault Diagnosis
Quick learning mechanism with cross-domain adaptation published in IEEE Transactions for intelligent industrial diagnostics.
Faculty / AI Mentor: IIT Ropar
Dr. Arun Kumar Sharma
Assistant Professor, IIT Ropar | AI Mentor: ReasonateAI
IIT Ropar, Punjab, India
Focus: AI research & neural systems
Assistant Professor at the School of Artificial Intelligence and Data Engineering (sAIDE), IIT Ropar. PhD from IIT Kanpur, M.Tech from IIT Kharagpur. Published in IEEE Transactions.
Available for research & advisory
About
Background
I'm an AI researcher & professor committed to the architecture optimization of deep learning algorithms.
Currently working as an Assistant Professor at the School of Artificial Intelligence and Data Engineering (sAIDE), IIT Ropar, Punjab. My research field is the architecture optimization of deep learning algorithms and their applications to real-time systems for pattern recognition in data-driven systems.
My research findings are published in premier international journals including IEEE Transactions. Prior to IIT Ropar, I served for over 8 years at IIT Kanpur as a Postdoctoral Researcher and Research Scholar, conducting research on deep learning for engineering design automation, robotics, biometric authentication, and AI in 6G standardization.
As Faculty / AI Mentor at ReasonateAI, I guide the technical team on algorithmic rigor, closed-loop telemetry stability, mathematical verification of Dual-Twin environments, and intelligent fault diagnostics.
Education
- PhD (Control and Automation, IIT Kanpur, 2018–2024)
- M.Tech (Instrumentation, IIT Kharagpur, 2009–2011)
- BSc Engg (Electrical Engineering, BIT Sindri, 2005–2009)
Responsibilities
Areas of focus
Attention Mechanisms & Generative AI
Optimizing resource-efficient attention layers and generative deep learning architectures for real-time inference.
Intelligent Fault Diagnosis
Developing transfer learning-based and evolutionary deep neural networks for condition monitoring and automated anomaly detection.
Deep Reinforcement Learning
Formulating adaptive control policies and decentralized PI-type controllers for autonomous dynamic systems.
AI in 6G Standardization
Pioneering data-driven algorithms and neural telemetry architectures for next-generation telecommunication networks.
Engineering Design Automation
Synthesizing Mamdani fuzzy inference networks and neural surrogates for complex robotics and aerodynamic modeling.
Expertise
Core skills
- Attention Mechanisms & Generative AI
- Deep Reinforcement Learning
- Intelligent Fault Diagnosis
- Pattern Recognition & ML Algorithms
- Control & Automation (IIT Kanpur)
- System Reliability & Verification
Work
Selected work
Research · Peer-reviewed · High Accuracy
Evolutionary Deep Neural Networks
Transfer learning-based evolutionary deep neural network architectures for condition-based machine monitoring.
AI systems · Automation · Fuzzy Systems
ATTAS Aircraft Aerodynamic Modeling
Aerodynamic modeling using Mamdani Fuzzy Inference Networks for high-reliability flight dynamics automation.
Mentorship · AI mentor · Deep-Tech Advisory
ReasonateAI Dual-Twin Advisory
Guiding simulation twin convergence and closed-loop reasoning stability for autonomous cloud operations.
Recognition
Achievements & affiliations
- Faculty Appointment at IIT RoparSchool of AI & Data Engineering
Appointed Assistant Professor at sAIDE, leading research in deep learning optimization and real-time systems.
- Doctor of Philosophy (PhD)IIT Kanpur (2018–2024)
Conducted 6+ years of doctoral research in Control and Automation, deep learning, and data-driven systems.
- M.Tech from IIT KharagpurIIT Kharagpur (2009–2011)
Master of Technology in Instrumentation, specializing in precision instrumentation and system modeling.
- Postdoctoral Research FellowIIT Kanpur (2024–2025)
Led research on deep learning for engineering design automation, robotics, biometric authentication, and 6G AI.
- IIT Ropar
- Assistant Professor, sAIDE
- IIT Kanpur
- PhD (Control & Automation)
- IIT Kharagpur
- M.Tech (Instrumentation)
- IEEE Transactions
- Published Author
- BIT Sindri
- Electrical Engineering
- TBIF IIT Ropar
- ReasonateAI AI Mentor
Endorsements
What colleagues say
“Dr. Arun Kumar Sharma brings academic rigor, deep mathematical grounding, and vision to our algorithmic strategy at ReasonateAI.”
Ashutosh Mishra
Founder, CEO & CTO, ReasonateAI
“His research in intelligent fault diagnosis and architecture optimization represents the highest standard of modern machine intelligence.”
Academic Research Peer
IIT Ropar sAIDE Faculty
“Dr. Sharma's ability to ground futuristic deep-tech concepts like Autonomous AI CTOs in verifiable control theory is invaluable.”
Collaborating Scientist
IIT Kanpur Research Lab
Contact
Get in touch with Arun
Have an enterprise infrastructure inquiry, interested in pilot collaboration, or want to discuss autonomous AI systems? Let's connect directly.
Other team members
