1st International Conference on Artificial Intelligence & Machine Learning in Communication and Power Systems- AIMLCPS 2026
Sponsors: IEEE Bhubaneswar Section; Parala Maharaja Engineering College; Parala Maharaja Engineering College STB, ANRF
1 International Conference on “Artificial Intelligence & Machine Learning in Communication and Power Systems” AIMLCPS-2026 (IEEE Conference record number 68702) is being organized by the Department of Electrical Engineering and Department of Electronics & Telecommunication, Parala Maharaja Engineering College, Berhampur, Odisha, India, during 20 – 21 February 2026 in hybrid mode. The
objective is to provide a comprehensive platform for academicians, scientists, researchers, engineers, and students to stay updated on recent trends and likely future research directions in Electronics and Electrical Engineering at the intersection of AI/ML. The conference aims to foster the theme through keynote addresses, invited talks, and oral presentations of research articles in the most relevant areas related to the conference theme. The conference will also provide an international platform for delegates to share research ideas, exchange scientific thoughts and open possibilities of new collaborations on research problems. Papers submitted to AIMLCPS-2026 should contain original
research/study and should not have been published or submitted for publication elsewhere. Accepted and presented papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE scope and quality requirements. The IEEE antiplagiarism policy is applicable to all submissions. At least one author of each accepted paper must register for the conference and present his/her paper.
Date and Time
Location
Hosts
Registration
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- PARALA MAHARAJA ENGINEERING COLLEGE , MAIN BUILDING
- Berhampur , Orissa
- India 761003
- Building: PMEC Main Building
- Room Number: 110
- Click here for Map
- Contact Event Host
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Prof. Bhagabat Panda +91 9437143678
Dr. Suryalok Dash +91 9861135145
Dr. Raghunandan Swain +91 9438801526
Rasmiranjan Mohapatra :- +91 7381168849 - Co-sponsored by IEEE Bhubaneswar Section & IEEE Students Branch-PMEC Berhampur
Speakers
SPEAKER of National University of Singapore
Marinized aiot-enabled energy storage system (ess) and digital solutions for carbon neutral shipyard
The integration of Energy Storage System (ESS) into modern energy infrastructure has become increasingly critical as the world shifts towards sustainable energy solutions. ESS plays a pivotal role in enhancing reliability, efficiency, and flexibility of power systems, especially in the context of renewable energy sources such as solar and wind, which are inherently variable and intermittent. By storing excess energy during periods of low demand and discharging it during peak times, ESS mitigates the imbalance between energy supply and demand, thus stabilizing the grid and reducing reliance on fossil fuel-based peak power plants. In maritime environments, such as the proposed Floating Living Lab (FLL) for carbon neutral shipyards, the ESS is essential for ensuring continuous and resilient energy supply. The FLL concept, which integrates LNG, solar PV, and ESS, aims to provide a sustainable power solution for shipyard operations while addressing the challenges of harsh offshore environments while connected to the grid to provide ancillary services is required.
Biography:
Sanjib Kumar Panda (S’86-M’91-SM’01-F’21) received B. Eng. Degree from the South Gujarat University, India, in 1983, M.Tech. degree from the Indian Institute of Technology, Banaras Hindu University, Varanasi, India, in 1987, and the Ph.D. degree from the University of Cambridge, U.K., in 1991, all in electrical engineering. He was the recipient of the Cambridge-Nehru Scholarship and M. T. Mayer Graduate Scholarship during his PhD study (1987-1991). Since 1992, he has been holding a faculty position in the Department of Electrical and Computer Engineering, National University of Singapore.
Dr. Panda has published more than 540 peer-reviewed research papers, co-authored one book and contributed to several book chapters, held ten patents and co-founded three start-up companies. His research interests include high-performance control of motor drives and power electronic converters, condition monitoring and predictive maintenance, building energy efficiency enhancement etc. He served as Associate Editor of several IEEE Transactions e.g. Power Electronics, Industry Applications, Energy Conversion, Access and IEEE Journal of Emerging and Selected Topics in Power Electronics. Dr. Panda had served as an IEEE PELS Distinguished Lecture for 2022-26. He had served as the Chair of the IEEE PELS Technical Committee, TC 12: Energy Access and Off-grid Systems 2021-2023. Dr. Panda is also currently serving as, R-10 Membership & Chapter Development Chair for IEEE PELS from 2016 till date.
SPEAKER of IIT Roorkee
Empowering Renewable Energy Integration: A Smart Grid Initiative at IIT Roorkee
This project embodies the core objective of the Mission Innovation Challenge on smart grids, seeking to construct cost-effective, resilient, and renewable-powered grids while reducing fossil fuel dependency. It focuses on India's transition to renewable energy, primarily wind and solar, which contribute significantly to the nation's energy portfolio. Recognizing the complexities that arise with the rapid integration of solar energy into distribution systems, the project proposes a standardized approach of incorporating energy storage systems at strategic points within the distribution network. This initiative, carried out at the Indian Institute of Technology Roorkee (IITR), serves as a practical demonstration, illustrating the possibilities and benefits of integrating energy storage into real-world applications. The primary challenge involves optimizing the allocation of energy storage systems considering various factors. The project employs mixed-integer linear programming to identify the ideal size and location of batteries within the distribution network. Furthermore, the study explores two-layer control strategies, ensuring voltage stability and facilitating seamless transitions between grid-connected and islanded mode to enhance reliability. In addressing the critical issue of frequency regulation, project leverages energy storage and inverters to mimic the functions of traditional generators. By optimizing five locations for energy storage and validating control strategies through Power Hardware in Loop (PHIL) simulations, this project aims to showcase the practicality and benefits of smart grid technologies. Two battery energy storage systems (BESS) have already been implemented on the IIT Roorkee campus, marking a significant milestone in achieving a self-sustaining, zero-emission green campus. This project not only aids India's renewable energy ambitions but also serves as a global benchmark for efficient energy management and grid resilience in smart campuses.
Biography:
Prof. Bidyadhar Subudhi is currently the Director of the National Institute of Technology (NIT) Warangal, on deputation from the Indian Institute of Technology (IIT) Goa. He is a Professor in the School of Electrical Sciences at IIT Goa, Chair Professor, INAE. He serves as an Adjunct Professor in the Department of Electrical Engineering at IIT Hyderabad.
Prof. Subudhi received Bachelor’s degree in Electrical Engineering from NIT Rourkela, Master of Technology in Control and Instrumentation from IIT Delhi, and Ph.D. in Control Systems Engineering from the University of Sheffield, United Kingdom. Prof. Subudhi is a recipient of several prestigious honors, including the Samanta Chandra Sekhar Award from the Government of Odisha(India) in 2013, the Distinguished Alumnus Award from NIT Rourkela in 2021, and the Outstanding Leadership Award by the IEEE Computer Society in 2022. Prof. Subudhi is a Fellow of the Indian National Academy of Engineering (INAE), Asia-Pacific Artificial Intelligence Association, IET (UK), and Industry Academy of the International Artificial Intelligence Industry Alliance. He serves as a Technical Committee Member of the IEEE Technical Committees on Intelligent Control, IEEE Consumer Electronics (Power and Energy), IFAC Computational Intelligence in Control, Steering Committee Member of the Asian Control Association, and Member of the IFAC Council. He serves on the Editorial Boards of IEEE Transaction on Sustainable Energy, IEEE Power Engineering Letters, IEEE Systems Journal, IEEE Access, ISA Transactions and IET Electronics Letter. He is a distinguished Lecturer of ACM. His research interests include System & Control, Control of Autonomous Vehicles, Smart Grid and Power System. Prof. Subudhi has over 300 research publications in the area of Control and power systems. He has been granted with 5 Indian patents and supervised 46 PhD students.
Speaker of IIT Goa
A Multi-agent Control of Cyber-physical Microgrid System
A microgrid is a small-scale power system that facilitates integration of Distributed Generations (solar photovoltaic, and wind turbine etc.), local loads and energy storage units. This lecture discusses on design of distributed secondary control scheme of an AC microgrid modelled as a multi-agent system. The control objectives include microgrid voltage and frequency restoration and accurate active and reactive power sharing among the distributed generators. The asymptotic controllers limit the convergence performance and hence are not suitable for fast-changing operating conditions. Therefore, a special emphasis is given to the finite-time convergence control approaches to achieve faster and flexible settling time for secondary control. The proposed control is fully distributed and each distributed generator communicates with its immediate neighbours for information sharing via a sparse communication network. The loss of communication link does not affect the controller performance. A dynamic average consensus-based distributed control scheme is designed for voltage and frequency synchronization that utilizes neighbouring DG information. The control law forces the agents to move towards following the reference value, and causes the consensus among agents. The communication link delay analysis and upper bound on the allowable delay is derived in terms of the communication graph connectivity. It is observed that this control scheme provides good tracking performance. However, the scheme does not guarantee finite-time restoration. To deal with the sensitive loads and fast-changing operating conditions, and to obtain finite-time convergence, a distributed adaptive controllers have been developed using the backstepping and sliding mode concepts. Further, an extended state observer has been designed to handle the disturbances in the microgrid. Both the simulation and experimental results are analysed to evaluate the effectiveness of the adaptive controller. A Lyapunov based stability and convergence analysis is presented which clearly show that the convergence time is independent of microgrid system states and the microgrid line and load parameters.
Prof
Biography:
Dr. Milos Manic is a distinguished professor of Computer Science at Virginia Commonwealth University and the Director of the VCU Cybersecurity Center. A world-renowned expert in artificial intelligence and machine learning, his research focuses on enhancing the resilience and security of critical infrastructures, such as power grids and industrial control systems, through intelligent data mining. He currently serves as the President of the IEEE Industrial Electronics Society and is recognized as an IEEE Fellow for his pioneering work in machine learning-based cybersecurity. Beyond his academic leadership, Dr. Manic is a prolific inventor and a Senior Member of the National Academy of Inventors, having authored over 200 publications and received prestigious honors like the R&D 100 Award for his innovations in autonomous cyber sensors.
Speaker of Østfold University College
Tools for Real Time Monitoring of Power System using Wide Area Information
In the last few decades, wind farm has emerged as most promising renewable energy resource throughout the world wide. However, recent investigations on penetration of wind farm having intermittent characteristics and lower inertial response has resulted into several impacts on the operation of power grid network in stable form. In fact, it has led to modification in characteristic behavior of power grid in terms of new emerging stability issues, i.e. influenced the level of damping and new range of oscillatory modes. This fast development of converter based energy resources have increased the complexity of stability phenomenon in the grid throughout the world, including Nordic grid, which itself has its own distinct characteristic.
With this motivation, this talk will discuss some of the research projects funded in the Nordic region in the development of tools for real-time monitoring and assessment of power grid stability.
Biography:
I have more than 15 years of teaching and research experience (after obtaining a PhD), with supervision of Thesis at Master's and PhD level. Both teaching and research fields have been aligned in the area of power systems, mainly with renewable resources integration, dynamic analysis and control, applications of ICT, and smart grid.
During my academic career, I have been solely involved in the research activities/supervision, including externally funded projects in the area of distributed generation; modeling of renewable energy systems, integration of renewable resources like wind, photo-voltaic, hydro power, fuel cell and energy storage systems, their control strategies, islanding detection, tools/algorithms for wide area monitoring of smart grid, protection and control applications, etc. Apart from above, my research area is also focused in “ Smart grid ”, which is basically a multi-disciplinary requiring applicant to have knowledge and background from two different fields; (i) Information security and Communication technology and (ii) power/energy system . The future professionals are expected to have research output with both domains. This is due to the fact that the conventional power system i
Speaker of IIT Bhubaneswar
AI in Smart Grid
The evolution of power and energy systems from centralized generation to decentralized, data-driven infrastructures has reshaped the contours of modern power engineering. The microgrid, as the foundational element of this transformation, operates as a localized energy system integrating renewable sources, energy storage, EVs and controllable loads. While its architecture provides operational flexibility and resilience, the proliferation of renewable generation and bidirectional power flows introduces new complexities in voltage regulation, fault management, and system stability. To address these challenges, the concept of the smart grid enabled with AI driven applications in operation and energy management, monitoring, cyber security, communications, cyber-physical systems has been emerged. It integrates distributed resources, supports real-time monitoring, and facilitates the participation of consumers as active entities in the energy ecosystem. However, with the surge in distributed generation, electric vehicles (EVs), and data heterogeneity, classical optimization and deterministic models have reached their operational limits. The demand for systems capable of learning, predicting, and adapting in real-time has naturally led to the integration of Artificial Intelligence (AI) within the grid domain. This talk outlined the emerging application of AI to make the Grid to Smart Grid
Biography:
Prof Subhransu Ranjan Samantaray, a Fellow of Indian National Academy of Engineering India (FNAE, holds the position of Professor and OPTCL Chair Professor at the School of Electrical and Computer Sciences, Indian Institute of Technology Bhubaneswar, India. He has visited McGill University, Canada and AALTO University, Finland as Visiting Professor. He has more than 26 years of experience including Industry and Academia. His major research interests include Power System Protection, PMU and WAMs and Smartgrid. Received several national and international recognitions of high repute including Top 2 % scientist by Stanford University, SERB STAR Award-2021, NASI-SCOPUS Young Scientists Awards-2015, IEEE PES Technical Committee Prize Paper Award-2012, USA, Samanta Chandra Sekhar Award-2010 and Young Scientists, Odisha Bigyana Acadmey-2007, INAE innovative Doctoral thesis award-2008, Institutes of Engineers (IEI) Young Engineer Award-2009 etc.
He served as the Associate Editor of IEEE Systems Journal, past Editor of IEEE Transactions on Smart Grid, IEEE Transactions on Power Delivery, Associate, IET, Generation, Transmission & Distribution and Guest Editor, IEEE Sensor Journal. He serves as a member of IEEE Task Force on Big Data Analytics for Synchro-Waveform Measurements and IEEE Power Systems Stability Sub-Committee.
He is Fellow of Indian National Academy of Engineering (FNAE), Institution of Engineering and Technology (FIET), UK and Senior Member, IEEE. He is the Founder Chair of IEEE Bhubaneswar Section, Founder secretary and past Chair of of IEEE Bhubaneswar Subsection.
Speaker of IIT Patna
Intelligent and Reliable Edge Computing System for IoT : Research Scopes
The rapid growth of the electronics market in the area of consumer electronics, medical electronics, intelligent sensors, Internet of Things (IoT) devices, Wireless Sensor nodes (WSN) in the domain of Cyber physical system including smart grid and space applications has increased the demand sensing and monitoring electronic devices having both computing and communication capabilities. In the domain of IoT, due to heavy traffic and power consumption in communication network, computational paradigm has been shifting from the conventional cloud-centric approach to edge nodes, which demands energy efficient, reliable and secure lightweight embedded processors those need to be deployed for sensing and monitoring in harsh conditions, such as nuclear power plants, missiles, satellites, space applications, and etc., For such resource-constrained applications, RISC-V among all state of art processors proves to be the best candidate as it supports the modular approach, which allows the designers to add only those instructions which are needed for a particular class of application. Since the release of RISC-V ISA in the year 2010, there have been a number of RISC-V ISA-based developments to provide the solution to the rising demand of low-power computing systems. Hence, In the presentation, a comprehensive recent development of RISC-V ISA-based embedded processor cores suitable for aforesaid applications shall be highlighted along with research scopes in this domain.
Biography:
Prof. (Dr.) Kailash Chandra Ray is a distinguished academician and Associate Professor in the Department of Electrical Engineering at the Indian Institute of Technology (IIT) Patna. He earned his Ph.D. from IIT Kharagpur in 2008, establishing a strong foundation in Very Large Scale Integration (VLSI) systems. His expertise is widely recognized in the areas of VLSI signal processing, FPGA-based system design, and CORDIC algorithms. Throughout his tenure, he has been instrumental in developing high-performance architectures for complex mathematical computations and digital communication systems.In addition to his teaching and core research, Dr. Ray is an accomplished innovator with a granted Indian patent for an automated booklet scanning machine. His scholarly output is extensive, featuring over 80 publications in prestigious international journals and conferences, which have collectively earned more than 1,700 citations. His recent work has pivoted toward the intersection of hardware and healthcare, focusing on automated systems for myocardial infarction detection and cardiac arrhythmia monitoring. He also plays a vital role in national-level technical education, frequently organizing and leading specialized workshops on System-on-Chip (SoC) design and advanced embedded architectures.
Speaker of Troy, USA
Autonomous Vehicles 2026: Beyond the Buzzwords - Scaling AI/ML for Sustainable and Safe Passenger Mobility
As of 2026, the autonomous vehicle (AV) industry has reached a critical inflection point. While pioneers like Waymo and Zoox scale Level 4 robotaxi fleets in geofenced urban centers, the "Holy Grail" of Level 5 (Full Universal Autonomy) remains a complex, long-term challenge. This keynote explores the pragmatic gap between these "demo realities" and the mass-market strategies of traditional OEMs such as Ford, GM, BMW, and Mercedes-Benz.
Drawing on extensive Tier-1 operations experience for global leaders like Ford and GM, the speaker will discuss the shift from prohibitively expensive, sensor-heavy arrays to AI/ML-based Multimodal Fusion. We will analyze how next-generation silicon from NVIDIA (Thor), Mobileye (EyeQ Ultra), and Qualcomm enables "Smart Downscaling"—leveraging advanced AI and V2X (Vehicle-to-Everything) communication to maintain peak Functional Safety and redundancy while making autonomous systems commercially viable.
Biography:
Jugala Kishor Sahu is an R&D Operations Manager at Valeo North America, where he leads the delivery of advanced sensor system and software solutions for global automotive leaders. With a focus on high-volume production for major OEMs, he currently manages the industrialization of Level 2 (L2) systems while driving the long-term R&D strategy for Level 3 and Level 4 (L3/L4) autonomous technologies.A specialist in bridging the gap between cutting-edge AI research and the rigorous safety and cost requirements of mass-market deployment, Mr Sahu is instrumental in evolving Valeo's sensor-fusion and software-defined vehicle (SDV) roadmap for 2026 and beyond.
Speaker of Google Semiconductors Bangalore
Intelligence Without Infrastructure: The Edge AI Solution to Unsustainable Cloud Computing
As artificial intelligence systems evolve toward trillion-parameter models, global computing infrastructure faces an unprecedented energy crisis. Current trajectories project AI consumption reaching 520 TWh annually by 2028—equivalent to Germany’s total electricity demand—threatening to add 500 million tons of CO2 annually by 2030. This keynote presents Edge AI as both a technological paradigm shift and an engineering imperative for sustainable deployment. We demonstrate how shifting inference computation from centralized cloud data centers to end-user devices achieves a 100–1,000x reduction in energy per query while eliminating network latency and privacy vulnerabilities
Biography:
Shahbaz Sarik is a highly accomplished Senior Silicon Architect currently based in Bengaluru, India, where he plays a critical role in Google's semiconductor development initiatives. With a professional foundation built at premier technology institutions, he is an alumnus of the Indian Institute of Technology (IIT) Bombay, a credential that underscores his deep technical expertise. Before joining Google, Sarik refined his skills in high-performance computing and hardware design at industry giants such as Intel Corporation and Qualcomm. His work primarily focuses on the intricate world of processor architecture, where he specializes in areas like branch prediction and the optimization of silicon for advanced computational tasks. Beyond his corporate roles, he has contributed to the broader scientific community through research and academic collaborations, positioning him as a significant figure in the evolution of modern processor technology.
Agenda
Conference Agenda
DAY 0: February 19, 2026 (Thursday)
09:00 AM - 10:30 AM
Keynote Talk 1
Prof. Milos Manic, Virginia Commonwealth University
Chair: Dr. Chinmaya Panigrahi
Location: Seminar Hall - 110 (Hybrid)
Google Meet Link
11:30 AM - 01:00 PM
Technical Presentation - Session 1
Chair: Dr. Preeti Ranjan Sahu & Dr. Ritanjali Behera
Location: Seminar Hall - 216 & 329
Google Meet Link 1 | Google Meet Link 2
01:00 PM - 02:00 PM
Lunch Break
02:00 PM - 05:15 PM
Technical Presentations - Sessions 3 to 8
Chairs: Various
Location: Seminar Hall - 216, 329, & 429
Google Meet Links for Sessions | Google Meet Links for Sessions | Google Meet Links for Sessions
DAY 1: February 20, 2026 (Friday)
09:00 AM - 10:00 AM
Keynote Talk 2
Prof. Nand Kishor, Østfold University College
Chair: Dr. Prakash Kumar Ray
Location: Seminar Hall - 110 (Hybrid)
Google Meet Link
10:00 AM - 11:15 AM
Inauguration
Patron: Prof. Chittaranjan Mohanty
Location: Seminar Hall - 110 (In Person)
Google Meet Link
11:30 AM - 01:30 PM
Keynote Talks 3 & 4
Prof. Sanjib Kumar Panda & Prof. Subhransu Ranjan Samantaray
Chair: Various
Location: Seminar Hall - 110 (In Person)
Google Meet Link
01:30 PM - 02:30 PM
Lunch Break
02:30 PM - 05:00 PM
Keynote Talk 5 & Technical Presentations - Sessions 9 to 11
Chairs: Various
Location: Seminar Hall - 216, 329, & 429
Google Meet Links for Sessions | Google Meet Links for Sessions | Google Meet Links for Sessions
DAY 2: February 21, 2026 (Saturday)
09:00 AM - 10:00 AM
Keynote Talks 6 & 7
Mr. Jugal Kishore Sahu & Mr. Shahbaz Sarik
Chair: Dr. Suryalok Dash
Location: Seminar Hall - 216 & 110 (Online)
Google Meet Links | Google Meet Links
10:00 AM - 12:00 PM
Keynote Talks 8, 9 & 10
Prof. Bidyadhar Subudhi, Prof. Kailash Chandra Ray, Prof. Debiprasad Priyabrata Acharya
Chair: Various
Location: Seminar Hall - 110 (In Person)
Google Meet Link
12:00 PM - 01:30 PM
Technical Presentations - Sessions 15 to 17
Chairs: Various
Location: Seminar Hall - 216, 329, & 429
Google Meet Links for Sessions | Google Meet Links for Sessions | Google Meet Links for Sessions
01:30 PM - 02:30 PM
Lunch Break
02:30 PM - 05:00 PM
Technical Presentations - Sessions 18 to 20
Chairs: Various
Location: Seminar Hall - 216, 329, & 429
Google Meet Links for Sessions | Google Meet Links for Sessions | Google Meet Links for Sessions
04:00 PM - 05:00 PM
Valedictory
Patron: Prof. Chittaranjan Mohanty
Location: Seminar Hall - 110 (Hybrid)
Google Meet Link