7th International Conference on Advances in Distributed Computing and Machine Learning

January 15-16, 2026 | NIT Jamshedpur, India
(Hybrid Mode)

Submit your Paper
  • Paper Submission Deadline: 25 Sept 10 Oct 02 Nov 2025(Hard deadline)
  • Acceptance Notification: 10 November 2025 onwards
  • Registration & Camera-Ready Deadline: 20 November 2025

About ICADCML 2026

The 7th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML)-2026 will be organized by Department of Computer Science and Engineering, National Institute of Technology Jamshedpur, India, during January 15-16, 2026 (Hybrid Mode). ICADCML-2026 continues the legacy of its predecessors as a premier global platform for researchers and practitioners to share groundbreaking research findings, innovative ideas, and practical experiences in the fields of distributed computing and machine learning. In an era where these technologies are shaping the future of various industries and societal interactions, ICADCML-2026 aims to foster collaboration and knowledge exchange that will drive advancements and applications in these domains. Prospective authors are invited to submit manuscripts reporting original unpublished research and recent developments in the topics related to the conference.

About NIT Jamshedpur

NIT Jamshedpur Logo

National Institute of Technology Jamshedpur, earlier known as Regional Institute of Technology was established on 15th August 1960 as a joint venture of Government of India and the Government of Bihar in the chain of REC's (Regional Engineering College) in India with the aim to generate technical graduates of highest standards who could provide technological leadership to the region. It was among the first eight Regional Engineering Colleges (RECs) established as part of the Second Five-Year Plan (1956 - 1961). This was the only REC in the country which was named as RIT (Regional Institute of Technology). The Institute is fully funded and governed by the Ministry of Education (MoE), Government of India since 1st April, 2003. On 15 August 2007, NIT Jamshedpur was given the status of the Institute of National Importance through an Act of the Parliament known as the NIT Act. The Institute has 11 departments including engineering, science and humanities. The Institute, with 200 faculty, 4000 students, 150 administrative and supporting staff, is a self-contained campus. It is located on the outskirts of Jamshedpur on 341.3 acres of sprawling, rolling hilly, wooded land. The institute has achieved impressive placement for its students, with top industrial houses and software companies recruiting the students in large numbers.

Keynote Speakers

Prof. Priyadarsi Nanda

Prof. Priyadarsi Nanda

Associate Professor, University of Technology Sydney (UTS)

Prof. Priyadarsi Nanda is an Associate Professor at the University of Technology Sydney (UTS) with over 34 years of academic and research experience in computer science. He is internationally recognized for his expertise in cybersecurity, IoT security, Internet traffic engineering, and wireless sensor network security. His pioneering contributions include intrusion detection and prevention systems (IDS/IPS) using image processing techniques, Sybil attack detection in IoT-based applications, and the design of intelligent firewalls. With more than 130 high-quality publications in leading journals and ERA Tier A/A* conferences such as IEEE Transactions on Computers, TPDS, and FGCS, Prof. Nanda has established himself as a leading researcher in cybersecurity.

At UTS, he has supervised 23 higher degree research students, including 20 PhD and 3 Master's graduates, and continues to mentor 15 PhD candidates. His research leadership extends beyond academia, serving as Senior Member of IEEE, Managing Editor for special issues on security and privacy in journals such as FGCS and CCPE, and General Chair of IEEE SIN 2024. He is also a regular keynote speaker at prestigious international conferences and an active reviewer and program committee member for several top-tier journals and conferences.

Before joining UTS, Prof. Nanda held academic positions at the University of New South Wales, Sydney, and the National Institute of Technology (NIT), Rourkela, India. He has also served as Visiting Professor or Research Fellow at leading global institutions, including the University of California, Davis; University of Plymouth, UK; INRIA Nancy, France; University of Auckland, New Zealand; and University of Minnesota, USA.

Prof. Nanda's career reflects a strong commitment to advancing cybersecurity research and mentoring future leaders in the field. His work continues to shape global discussions on trust, privacy, and resilience in digital systems.

Prof. Ting Wang

Prof. Ting Wang

Associate Professor, Software Engineering Institute, East China Normal University

Title: Heterogeneity-Aware Personalized Federated Learning via Hierarchical RL and Model Distillation

Prof. Ting Wang is an Associate Professor and Ph.D. Supervisor at the Software Engineering Institute, East China Normal University, where he has been serving since April 2020. He is the Deputy Director of the Department of Software Science and Technology, Academic Leader of the Large Models and AI Applications at Dishui Lake International Institute of Software, and a member of the Intelligent Computing and Industrial Unmanned Systems Laboratory. He is a Senior Member of IEEE. He is affiliated with the Shanghai Key Laboratory of Trustworthy Computing and the Engineering Research Center of Software/Hardware Co-design Technology and Application, Ministry of Education. He leads the Intelligent Computing and Networking (ICN) Lab, with research focusing on Datacenter Networking, Machine Learning Systems, AI-driven Intelligent Networking, Fog/Edge Computing, and Cloud Computing.

He obtained his M.Sc. degree in Computer Information System Engineering from Warsaw University of Technology, Poland (sponsored by China Scholarship Council) in 2011 under the supervision of Prof. Jacek Wojciechowski, and his Ph.D. degree in Computer Science and Engineering from HKUST in 2015 under the supervision of Prof. Mounir Hamdi (IEEE Fellow). Prior to joining ECNU in 2020, he worked at Bell Labs as a research scientist from 2015 to 2016, and at Huawei as a senior engineer from 2016 to 2020. His research interests include: Artificial Intelligence: Distributed Machine Learning, Federated Learning, Multi-Agent Reinforcement Learning, Embodied Intelligence, Brain-Inspired Computing, LLM-oriented Edge-Cloud Collaboration Systems Edge/Cloud Computing: Edge AI, Intelligent Cloud, Data Center Networks, AI-assisted Intelligent Information Networks.

Prof. G. G. Md. Nawaz Ali

Prof. G. G. Md. Nawaz Ali

Assistant Professor, Bradley University

G. G. Md. Nawaz Ali is an Assistant Professor in the Department of Computer Science and Information Systems at Bradley University, where he joined in fall 2021. Before that, he was a postdoctoral fellow at Clemson University and a research associate at Nanyang Technological University in Singapore. He earned his Ph.D. in Computer Science from the City University of Hong Kong and his B.Sc. in Computer Science and Engineering from Khulna University of Engineering and Technology, Bangladesh. His primary research interests include vehicular networks, V2X communications, wireless and mobile computing, data analytics, sentiment analysis, and network coding. Dr. Ali has published widely in prestigious journals and conferences and received several honors, including best paper awards and an outstanding academic performance award during his Ph.D. studies. At Bradley, he continues to pursue research in next-generation communication technologies while mentoring students and contributing to the department's academic and research growth.

Professor Ashok Kumar Turuk

Prof. Ashok Kumar Turuk

Professor and Dean (Academic), Department of Computer Science and Engineering, National Institute of Technology (NIT) Rourkela, Odisha, India

Prof. Ashok Kumar Turuk is a distinguished academic and researcher currently serving as a Professor and Dean (Academic) in the Department of Computer Science and Engineering at the National Institute of Technology (NIT) Rourkela, Odisha, India. With a career spanning over two and a half decades, he has made significant contributions to both academic leadership and research in the field of computer science, particularly in networking, cybersecurity, and emerging computing paradigms.

Professor Turuk began his academic journey at NIT Rourkela, where he earned both his Bachelor of Engineering and Master of Engineering degrees in Computer Science. His pursuit of academic excellence led him to the Indian Institute of Technology (IIT) Kharagpur, where he completed his Ph.D. in Computer Science and Engineering in 2005. He joined NIT Rourkela as a faculty member in July 1997.

His research interests are diverse and impactful, encompassing optical networks, software-defined networking (SDN), blockchain technologies, and secure system architectures. He has published more than 170 research papers in peer-reviewed journals and international conferences. Recent publications have explored critical topics such as performance architectures for software-defined optical networks, federated learning in optical communication, and cybersecurity in cyber-physical systems. Notable journals that have featured his work include Optical Switching and Networking, Computers and Electrical Engineering, and Concurrency and Computation: Practice and Experience.

In addition to his publications, Professor Turuk is an innovator and holds a patent titled "Auto Aligned Free Space Optical System," granted in 2023. He has led numerous sponsored research projects funded by prestigious national bodies such as the Department of Science and Technology (DST), the Ministry of Electronics and Information Technology (MeitY), and the Indian Statistical Institute. His leadership has been crucial in the execution of projects related to secure network architecture, energy-efficient wireless protocols, and routing optimization in optical systems.

Professor Turuk has supervised 18 Ph.D. scholars and numerous M.Tech (Research) scholars, guiding them through complex research topics ranging from cloud computing and DDoS mitigation in SDN to fault detection in cyber-physical systems. He has taught a wide array of undergraduate and postgraduate courses including data structures, computer architecture, network security, blockchain technology, and high-performance computing. He is affiliated with leading professional organizations including IEEE, the Computer Society of India, and the Institution of Engineers (India).

Prof. Aparajita Ojha

Prof. Aparajita Ojha

Professor, Department of Computer Science and Engineering, PDPM Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur, India

Prof. Aparajita Ojha is a distinguished Professor in the Department of Computer Science and Engineering at PDPM Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur, India. With an academic career spanning over 37 years, she has made exceptional contributions to computer science and engineering through her teaching, research, and leadership.

She served as Director of PDPM IIITDM Jabalpur from February 2009 to February 2015, where her visionary leadership significantly advanced the institute's academic and research profile.

Her research interests cover diverse and emerging areas, including machine learning, deep learning, computer vision, steganography, steganalysis, and robot path planning. Prof. Ojha is the author/co-author of over 150 research publications in reputed international journals and conferences, and she has guided numerous Ph.D. and M.Tech. scholars. Her scholarly work has earned wide recognition in the academic and research community.

Prof. Ojha has successfully led and contributed to several nationally funded projects, including initiatives supported by the Ministry of Electronics and Information Technology (MeitY), Government of India, and the All India Council for Technical Education (AICTE). Currently, she is spearheading a pilot project under MeitY aimed at training college faculty in cutting-edge IT and electronics technologies. Through the EICT Academy program, she has trained more than 11,000 participants across India, significantly contributing to skill enhancement and knowledge dissemination.

She is also a sought-after speaker, having delivered invited lectures on Blockchain Technology, Machine Learning, Deep Learning, and Computer Vision at several universities and professional forums in India and abroad.

Prof. Ojha's career is marked by her dedication to academic excellence, her pioneering work in emerging technologies, and her commitment to nurturing the next generation of innovators.

Prof. Chiranjeev Kumar

Prof. Chiranjeev Kumar

Professor (HAG) and Head, Department of Computer Science & Engineering, Indian Institute of Technology (ISM), Dhanbad

Prof. Chiranjeev Kumar is a distinguished academician and researcher in the field of Computer Science and Engineering, currently serving as Professor (HAG) and Head, Department of Computer Science & Engineering at the Indian Institute of Technology (ISM), Dhanbad. With an illustrious career spanning over two decades, he has contributed significantly to higher education, research, administration, and academic leadership.

At IIT(ISM) Dhanbad, he has served in multiple academic and administrative capacities, rising to the rank of Professor (HAG) in 2023. Over the years, he has taught a wide range of courses including Advanced Computer Networks, Advanced Data Structures, Software Engineering, Distributed Systems, and Artificial Intelligence. His research interests span Wireless Networks, Databases, Artificial Intelligence, Machine Learning, and Software Engineering. Prof. Kumar has supervised 22 Ph.D. scholars and is currently guiding 4 more. His scholarly output includes over 100 international journal papers, 70 conference papers, 8 books, and 5 book chapters. He also holds a patent on "An Integrated UMTS Wireless LAN System and Method for Location Management." He has successfully led research and consultancy projects worth over 15 crore, funded by organizations such as Coal India Limited, DRDO, CSIR, UGC, and MCIT. His in-house software products the Student Feedback System (2012) and the Management Information System (2015-2022) brought significant technological transformation to IIT(ISM).

In his administrative journey, Prof. Kumar has served as Dean (Academic), Dean (Information Systems), Head of Department, Training & Placement Officer, and Chairman of several strategic committees. He played a pivotal role in implementing the National Education Policy (NEP) at the institute, designing innovative programs such as Executive M.Tech., Integrated PG-PhD, and Collaborative Ph.D. He also led the digital transformation of the institute by designing and executing the Management Information System. Internationally, he has collaborated with Oxford Brookes University (UK) and the University of Waterloo (Canada), and has delivered keynote lectures at reputed conferences across India and abroad.

His excellence has been recognized with several awards, including the Best Paper Award at the World Congress on Engineering and Computer Science (WCECS-2007) in San Francisco, USA, the Gold Medal in M.E. (CSE), and a Certificate of Appreciation from IIT(ISM) Dhanbad. Prof. Chiranjeev Kumar's career is a testament to his dedication as a teacher, researcher, innovator, and leader. His lifelong mission has been to advance knowledge, technology, and education, while inspiring the next generation of engineers and researchers to push the boundaries of innovation.

Committees

Chief Patron

Goutam Sutradhar, Honorable Director, NIT Jamshedpur

Patron

Prof R.V. Sharma, Deputy-Director, NIT Jamshedpur

Prof Satish Kumar, Dean, Research and Consultancy, NIT Jamshedpur

International Advisory Committee

Mahasweta Sarkar, San Diego State University

Kuan-Ching Li, Providence University, Taiwan

Binayak Kar, NTUST, Taiwan

Surya Nepal, CSIRO Data61, Australia

Fuxiang Chen, University of Leicester, UK

Prasan Kumar Sahoo, Chang Gung University, Taiwan

ABM Rezbaul Islam, Sam Houston State University, USA

Ahmed Mohamed Abdelmoniem Sayed, QMUL, UK

Dimitris Chatzopoulos, UC Dublin, Ireland

Manoranjan Mohanty, CMU, Qatar

Mukesh Prasad, UTS, Australia

Madhusanka Liyanage, University College Dublin, Ireland

Suvendu Mohapatra, Foxconn, Taiwan

Krishna Moorthy Sivalingam, IIT Madras, India

Winston Seah, Victoria University of Wellington, New Zealand

Mohammed Atiquzzaman, University of Oklahoma, USA

National Advisory Committee

Somayajulu D, NIT Manipur

Smruti Ranjan Sarangi, IIT Delhi

Bibhudatta Sahoo, NIT Rourkela

Rashmi Ranjan Rout, NIT Warangal

Devashree Tripathy, IIT Bhubaneswar

Suvendu Rup, NIT Raipur

Debasish Jena, IIIT Bhubaneswar

Suraj Sharma, Central University Bilaspur

Suchismita Chinara, NIT Rourkela

Chandra Mouli P.V.S.S.R., Central University of Tamil Nadu

Steering Committee

Asis Kumar Tripathy, SCORE, VIT Vellore

Jyoti Prakash Sahoo, SOA Deemed to be University

Alekha Kumar Mishra, Dept. of CSE, NIT Jamshedpur

General Chairs

Danish Ali Khan, Dept. of CSE, NIT Jamshedpur

Arup Kumar Pal, IIT-ISM Dhanbad

Publication Chairs

Asis Kumar Tripathy, SCORE, VIT Vellore

Jyoti Prakash Sahoo, SOA Deemed to be University

Technical Program Committee Chairs

Umakanta Nanda, VIT-AP

Sanjay Kumar Panda, NIT Warangal

Ajit Kumar Nayak, SOA University

Manjubala Bisi, NIT Warangal

Subasish Mohapatra, OUTR Bhubaneswar

Arun Kumar, NIT Rourkela

Manmath N Sahoo, NIT Rourkela

Sourav Kanti Addya, NIT Surathkal

Biswa Mohan Acharya, SOA University

Suvendu Rup, NIT Raipur

Jitendra Kumar Rout, NIT Raipur

Satyasai Jagannath Nanda, MNIT Jaipur

P.V.S.S.R Chandramouli, CU Tamilnadu

Naresh Kumar Nagwani, NIT Raipur

Shailendra Kumar Tripathi, NIT Raipur

Sanjay Kumar, NIT Raipur

Sudhakar Pandey, NIT Raipur

Satya Prakash Sahu, NIT Raipur

Tirath Prasad Sahu, NIT Raipur

Sushil Kumar, NIT Kurukshetra

Antriksh Goswami, NIT Patna

Md. Sarfaraj Alam Ansari, NIT Sikkim

Bunil Kumar Balabantaray, NIT Meghalaya

Srinivas Sethi, IGIT Sarang

Buddhadeb Pradhan, IEM Kolkata

Rajendra Prasad Nayak, GEC Bhawanipatna

Santosh Singh Rathore, IIITM Gwalior

Vinay Raj, NIT Trichy

U S N Raju, NIT Warangal

Venkanna Udutalapally, NIT Warangal

Ashish Kumar Sahu, MANIT Bhopal

Bharat Singh, IIIT Ranchi

Koppala Guravaiah, IIIT Kottayam

Kanchan Lata Kashyap, IIIT Kottayam

Bharathi V C, VIT AP

Kakelli Anil Kumar, VIT Vellore

Srinivasa Reddy Konda, VIT AP

Venkata Bhikshapathi Chenam, VIT AP

Vivekananda G N, VIT Vellore

Ashu Abdul, SRM University AP

Kshira Sagar Sahoo, SRM University AP

M Mahesh Kumar, SRM University AP

Neeraj Kumar Sharma, SRM University AP

Banee Bandana Das, SRM University AP

Saleti Sumalatha, SRM University AP

Manish Kumar, Thapar University

Alok Kumar Shukla, Thapar University

Chandramohan Dhasarathan, Thapar University

Program Chairs

Binod Kumar Singh, Dept. of CSE, NIT Jamshedpur

Dilip Kumar Shaw, Dept. of CSE, NIT Jamshedpur

Organizing Secretaries and Finance Chairs

Alekha Kumar Mishra, Dept. of CSE, NIT Jamshedpur

Jitesh Pradhan, Dept. of CSE, NIT Jamshedpur

B. Ramachandra Reddy, Dept. of CSE, NIT Jamshedpur

Registration Chair

Gopa Bhowmik, Dept. of CSE, NIT Jamshedpur

Rakesh Kumar, Dept. of CSE, NIT Jamshedpur

Session Management Chair

Mayukh Sarkar, Dept. of CSE, NIT Jamshedpur

Suchismita Mahto, Dept. of CSE, NIT Jamshedpur

Convener

Sanjay Kumar, Dept. of CSE, NIT Jamshedpur

Deepak Rai, Dept. of CSE, NIT Jamshedpur

Publicity Chairs

Rajkumar R, SCOPE, VIT, Vellore

Diwakar Tripathy, Dept. of CSE, NIT Jamshedpur

Dinesh Kumar, Dept. of CSE, NIT Jamshedpur

Organizing Committee Members

  • Dilip Kumar Yadav, NIT Jamshedpur
  • Rajiv Ranjan Suman, NIT Jamshedpur
  • Koushlendra Kumar Singh, NIT Jamshedpur
  • Dilip Kumar, NIT Jamshedpur
  • Subrata Dutta, NIT Jamshedpur
  • Chandrasekhar Azad, NIT Jamshedpur
  • Amit Majumder, NIT Jamshedpur
  • Arijit Das, NIT Jamshedpur
  • Pampa Howladar, NIT Jamshedpur

Conference Tracks

ICADCML-2026 solicits original research papers contributing to the foundations and applications of Distributed Computing and Machine Learning in the following broad areas, but are not limited to:

Distributed Computing

Advancements in distributed systems, cloud computing, and parallel processing.

Machine Learning

Innovations in deep learning, reinforcement learning, and AI algorithms.

Cybersecurity

Techniques for secure systems, cryptography, and threat detection.

Quantum Computing

Explorations in quantum algorithms and quantum machine learning.

Publication

The Proceedings of ICADCML 2026 will be published in Springer "Lecture Notes in Networks and Systems (LNNS)" Book series. The books of this series are indexed by SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago. All books published in the series are submitted for consideration in Web of Science. All selected and presented papers will be included in the conference proceedings.

Journal Support

Extended versions of selected papers presented in ICADCML 2026 are invited and recommended by the conference for submission to the following SCI, SCOPUS, DBLP, ACM Digital Library indexed journals:

Previous Conferences

ICADCML 2025 Logo

6th ICADCML 2025

Organized by: Dept. of Computer Science and Information Engineering, NTUST, Taiwan

Date: January 9-10, 2025

ICADCML 2024 Logo

5th ICADCML 2024

Organized by: VIT-AP University, Amaravati, Andhra Pradesh, India

Date: January 5-6, 2024

ICADCML 2023 Logo

4th ICADCML 2023

Organized by: National Institute of Technology, Rourkela, Odisha, India

Date: January 15-16, 2023

ICADCML 2022 Logo

3rd ICADCML 2022

Organized by: National Institute of Technology, Warangal, Telangana, India

Date: January 15-16, 2022

ICADCML 2021 Logo

2nd ICADCML 2021

Organized by: Siksha O Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India

Date: January 15-16, 2021

ICADCML 2020 Logo

1st ICADCML 2020

Organized by: VIT Vellore, Tamilnadu, India

Date: January 30-31, 2020

Author Guidelines

Prospective authors are invited to submit manuscripts reporting original unpublished research and recent developments in the topics related to the conference. The authors are required to submit full-text papers including abstract, keywords, introduction, methodology, result description, tables, figures, and references. The submissions may include new algorithms, experimental and/or theoretical applications of existing techniques with their strengths and weaknesses, development of new analytical frameworks, computational models of data based on natural learning systems, etc. It is required that the manuscript follows the standard Springer camera-ready format, limited to a minimum of 10 pages and a maximum of 12 pages. Submissions must include title, abstract, and keywords. The author name, affiliation, and email address should not be included in the manuscript submitted to follow a double-blind reviewing procedure. You need to submit single PDF files only; do not upload editable source files (.doc, .docx, or LaTeX files) for review. You will later be intimated for the source files if your article is selected.

Templates and Submission

The following process needs to be followed for the submission of the paper:

1. Check the format of your paper as per the conference guidelines and ensure it is plagiarism-free.

Please click the button below to submit your paper:

Register for ICADCML 2026

Join us at NIT Jamshedpur. Early bird registration ends Nov 1, 2025

Registration Fees

*Registration fees may be changed depending on the publication fees of the publisher and number of approved papers.

Venue

NIT Jamshedpur

Adityapur, Jamshedpur, Jharkhand - 831014, India

View NIT Jamshedpur on Google Maps

Contact Us

Alekha Kumar Mishra
Dept. of CSE, NIT Jamshedpur
Jamshedpur, Jharkhand - 831014, India
Email: icadcml@nitjsr.ac.in
Profile: View Profile

Phone: +91 (657) 237-4108