Partha Roop is a professor in the Department of Electrical and Computer Engineering (http://www.ece.auckland.ac.nz/) at the University of Auckland (http://www.auckland.ac.nz/). He is currently the Associate Dean (International) for the Faculty of Engineering. He completed his PhD in Computer Science and Engineering at the University of New South Wales, Sydney, Australia, a M.Tech at Indian Institute of Technology in Kharagpur, India and a BE degree at Anna University (College of Engineering), Madras, India. Partha had visiting positions in Kiel University, Germany, French National Laboratory of Informatics and Control and Iowa State University. He collaborates with University of California, Berkeley in the PRET project (http://chess.eecs.berkeley.edu/pret/). His research interests are in Digital Health, Formal Methods for Safety-Critical applications of AI and Machine Learning, and Real-Time Systems. He co-founded APIMatic, a cloud services company for automatic SDK generation using the model-driven approach.
Title: Logically Synchronous AI (LSAI): Towards Safe, Secure, and Sustainable AI
Prof. Ponnurangam Kumaraguru (“PK”) is a Professor of Computer Science at IIIT-Hyderabad. He is an Associate Researcher at Robert Bosch Centre for Data Science & AI – IIT Madras, and an Adjunct faculty at IIIT Delhi. PK was inducted an ACM Distinguished Member in 2021. PK is an ACM India Council Member, and Chair of the Research Facilitation Committee of ACM India. He is also a TEDx speaker and both an ACM Distinguished Speaker and an ACM India Eminent Speaker. PK received his Ph.D. from the School of Computer Science at Carnegie Mellon University (CMU). His Ph.D. thesis work on anti-phishing research at CMU contributed in creating an award-winning startup – Wombat Security Technologies, wombatsecurity.com. Wombat was acquired in March 2018 for USD 225 Million. He founded PreCog, a research group at IIIT-Hyderabad. His interests lie in the areas of Computational Social Science, Social Computing, Privacy, Security, Online Social Networks.
Title: Ethical, Responsible, and Safe Requirements for AI
Dr. Priyadarsan Patra is Vice Chancellor of NIST University and a distinguished leader with over 35 years of experience across global industry, academia, and nonprofits. Formerly Chief Architect and Principal Scientist at Intel USA, he pioneered breakthrough System‑on‑Chip designs and validation that power modern computing. He has held senior academic leadership roles at UPES, Xavier, and DIT Universities, shaping programs in emerging technologies and future‑ready talent.
His research spans system architecture, VLSI design, AI/ML, data science, and cloud computing. He has authored five books, published 60+ scholarly articles, and holds multiple global patents and copyrights. Dr. Patra advises semiconductor startups, is a Fellow of IEI and IETE, Senior Member of IEEE and ACM, and Founding President of the IEEE System Validation Committee.
Recipient of awards including the Intel Trail Blazer and USA Hero Awards, he also founded SEEDS, a nonprofit advancing equitable education and development. Dr. Patra earned his Ph.D. from the University of Texas at Austin, M.S. from UMass Amherst, and B.E. from IISc Bangalore.
Title: Scaling Moore’s Law with AI — The Chip Design, Fab, and Policy Ecosystems
Prof. T.V. Vijay Kumar is a Professor in the School of Computer and Systems Sciences. He has earlier served as Dean of School of Computer and Systems Sciences and Dean of School of Engineering at Jawaharlal Nehru University, New Delhi. Also, he is a Concurrent Professor in the School of Engineering, Concurrent Professor in the Special Centre for Disaster Research, Concurrent Professor in the Special Centre for E-Learning at Jawaharlal Nehru University. He has completed his PhD in the area of Databases from Jawaharlal Nehru University after completing his MPhil and MSc in Operational Research and BSc(Hons) in Mathematics from University of Delhi, Delhi. His research Interests are Database Management and Distributed Databases; Data Warehousing and Data Mining; Artificial Intelligence and Machine Learning; Meta-heuristic Algorithms and Multi-Objective Optimization; Data Science and Big Data Analytics; Cyber Security and Intrusion Detection System; Early Warning Systems and Disaster Management. He has served earlier as the International Students Adviser at Jawaharlal Nehru University and was also the founding Director, Security Department at Jawaharlal Nehru University.
Title: Metaheuristic Optimization
Prof. Siba Kumar Udgata is a Professor in the School of Computer and Information Sciences, University of Hyderabad which is an Institution of Eminence. He is also the Director for Centre for Modelling, Simulation and Design (CMSD), which is a high-performance computing center, established by Dept of Science and Technology, Govt. of India. He is a fellow of Telangana Academy of Sciences, and Fellow of United Nations. He is a recipient of IBM SUR (Shared University Research) award grant.
His research focus is on intelligent algorithms for wireless communication, mobile computing, IoT and sensor network. He has worked as principal investigator in many funded research projects. He has worked in International collaborative projects in collaboration with Stanford University, University of California, IIT, Delhi, and few other institutes. He has edited more than 12 international conference proceedings published by Springer publication house and also co-authored a book “Internet of Things and Sensor Network for COVID-19” published by Springer Nature
His research focus is on intelligent algorithms for wireless communication, mobile computing, sensor network and applications. He has worked as principal investigator in many funded research projects in collaboration with Stanford University, University of California, IIT, Delhi, NIST, Berhampur and few others. He has published research papers extensively in many peer-reviewed international journals and conferences,
Title: Mulsemedia: Intelligent Smell Generator for Olfactory Profiling and Cognitive Enhancement
Dr. Sanjaya Kumar Panda is working as an Assistant Professor in the Department of CSE at NIT Warangal, Telangana, India and founder and director of a start-up company called Techsammelan Private Limited. He received a Ph. D. degree from IIT (ISM) Dhanbad, Jharkhand, India, M. Tech. degree from NIT, Rourkela, Odisha, India and B. Tech. degree from VSSUT, Burla, Odisha, India in CSE. He has 12 years of teaching and research experience. He received 35 awards from IEEE, IE (I), ISTE, CSI and others, which include two silver medal awards for the best graduate and best post-graduate in CSE, IEI young engineers award, young scientist, IEEE senior member and CSI & ACM distinguished speaker. He is listed as one of the top 2% of world scientists in a single year impact as per the survey conducted by Stanford University, USA and Elsevier in October 2022, 2023, and 2024. He has published 170+ papers in reputed journals and conferences and edited seven books. He received an R and D project worth 50 lakh from the National Supercomputing Mission, IISc. Bangalore under the DST, GoI, a cyber command program worth of 2 Crore from the MoHA, GoI, and and a GENESIS project from the MeitY, GoI. He is a member of IEEE, IE(I), Life member of ISTE and CSI. His current research interests include cloud and fog computing, artificial intelligence, machine learning and the Internet of Things. He delivered 300+ invited talks and chaired sessions at many national and international conferences. He has awarded 6 Ph. D. scholars, 30 M. Tech./M. Phil./MCA scholars and 49 B. Tech. students, and guiding 12 Ph. D. scholars. His Google Scholars Citations reached 3200+ with an h-index of 32 and an i10-index of 65. He acted as a reviewer in many reputed journals, such as IEEE, ACM, Elsevier, Springer and Hindawi, and many reputed conferences. He also served as a guest editor in many international journals.
Title: Task Scheduling Algorithms for Decentralized Large Language Model Serving
Short Biography: Dr. Santosh Kumar Sahu is working as a Manager (Programming) at Oil and Natural Gas Corporation (ONGC) Limited, India. He is currently working in the Geodata Processing and interpretation center (GEOPIC), a premier R&D institute of ONGC situated in Dehradun, Uttarakhand. He has ten-year experience in ONGC and three-year experience in teaching. He has published many papers in reputed international and national journals and conferences. His research interests include Cyber Security, Data Mining, Reverse Engineering, and Digital forensics.
Title: Reverse Engineering for Cyber Defense: Identifying Tampering and Strengthening Software Security
Bio: Dr. Deepak Panda has over 8 years of industry experience in deep learning, with a strong focus on deploying models to production. He is currently working as a Principal Applied Scientist at Oracle, Bangalore, where he specializes in face anti-spoofing for biometric recognition systems.
Previously, he worked at Microsoft and Mercedes-Benz. At Microsoft, he worked on large language models (LLMs) and text-to-image models to create designs and posters for enterprise applications. At Mercedes-Benz, he applied deep learning to Advanced Driver Assistance Systems (ADAS), particularly for extreme weather conditions.
He has completed his PhD and Master’s degree from NIT Rourkela.
Vision language models
Bio: Mr. Paramesh Sethuraman has strong technical leader with 22 years of progressive Telecom and IT experience, including extensive international exposure to large-scale network transformation and technology innovation. Specialized in mobile baseband and radio access technologies across 2G, 3G, 4G LTE, and 5G NR, with a strong focus on AI/ML-driven RAN automation and Open RAN (O-RAN). Deep expertise in applying AI/ML techniques for RAN optimization, including predictive analytics, intelligent scheduling, anomaly detection, and closed-loop automation to deliver carrier-grade network performance.
Extensive experience in network performance optimization, baseband feature validation, system integration, and multi-vendor interoperability, supported by a strong understanding of 3GPP standards and real-world operator deployment challenges. Proven leader in program and project management, coordinating cross-functional teams across engineering, QA, chipset partners, vendors, and customers to deliver complex LTE and 5G initiatives on time, within budget, and with high quality.
Demonstrated success in leading end-to-end project execution, including planning, risk management, test strategy definition, execution oversight, and performance tracking. Recognized for driving rapid issue resolution, enabling team capability development through technical mentoring and training, and translating customer requirements and market insights into actionable roadmaps, acceptance criteria, and continuous product improvements.
International Conference on Intelligent Systems and Embedded Design (ISED-2025)