International Conference on NextGen Data Science and Analytics (ICNDSA 2025)

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International Conference on NextGen Data Science and Analytics (ICNDSA 2025)


The School of Sciences organized the International Conference on the topic “NextGen Data Science and Analytics (ICNDSA 2025)” on 12, April March 2025. The conference is supported by the IEEE UP Section.
A notable aspect of ICNDSA 2025 was the formation of an International Advisory Board, comprising over 25 esteemed experts from more than 15 countries. Their association brought international visibility and academic prestige to the conference, helping us position it on a truly global academic platform.
ICNDSA 2025 implemented a structured three-tiered review process, involving more than 50 external reviewers who rigorously reviewed the submitted research papers. This comprehensive review framework was critical in upholding the academic standards of the conference and in ensuring the selection of high-quality research works for presentation.
ICNDSA 2025 featured ten thematic tracks, each addressing pivotal areas in data science and analytics:
The conference hosted five parallel sessions—three conducted offline and two online—facilitating comprehensive discussions and presentations. Each session was chaired by distinguished academics who guided the proceedings with expertise:
Track I chaired by Dr Rahul Johari, Associate Professor, Guru Gobind Singh Indraprastha University, East Delhi Campus, Delhi, India.
Track II chaired by Dr. Nilam Choudhary, Associate Professor, Coordinator Idea Lab, SKIT Jaipur, India
Track III chaired by Dr Achyut Shankar, Associate Professor, Bennett University, UP India.
Track IV chaired by Dr Aanjey Mani Tripathi, Associate Professor, Galgotias University, UP, India
Track V chaired by Dr. Vishal Jain, Professor, Sharda University, Greater Noida, India.
ICNDSA 2025 witnessed widespread participation from the global research community, receiving a total of 186 paper submissions spanning various institutions and disciplines, 28 papers were accepted for presentation, reflecting an acceptance rate of approximately 15%. These selected papers encompassed a diverse range of topics within the ten thematic tracks of the conference, highlighting innovative research and advancements in the field of data science and analytics.

To provide participants with a consolidate reference of the presented research, a conference souvenir containing the abstracts of all registered papers were released and a digital conference souvenir shared with the attendees.
To promote research dissemination, multiple publication opportunities have been provided for selected extended papers. These include special issues in the Journal of Information Systems and Telecommunication and Recent Patents on Mechanical Engineering, as well as Scopus-indexed edited books published by Cambridge Scholars Publishing, Wiley, and CRC Press.
In our commitment to recognizing excellence, each thematic track has been carefully reviewed to identify the best paper. Authors of these exemplary works were honoured with digital certificates.
The title International Conference on NextGen Data Science and Analytics was chosen with purpose. "NextGen" is not just a buzzword — it represents the forward-looking nature of this conference. It speaks to our goal of fostering conversations and sharing research that pushes the boundaries of conventional data science, embracing the technologies, responsibilities, and opportunities of tomorrow.
The conference summary and vote of thanks was presented by Dr. Manjula Shanbhog and Dr Ashish Sharma, respectively.

 

 



  Date and Time

  Location

  Hosts

  Registration



  • Add_To_Calendar_icon Add Event to Calendar
  • Mariam Nagar, Meerut Road, Delhi NCR
  • Ghaziabad
  • Ghaziabad, Uttar Pradesh
  • India 201003

  • Contact Event Host
  • Dr Vandana Sharma

    Associate Professor

    Christ University, Delhi NCR Campus

  • Co-sponsored by Christ University
  • Starts 01 April 2025 03:30 AM UTC
  • Ends 09 April 2025 06:30 PM UTC
  • No Admission Charge


  Speakers

Dr Gandomi

Topic:

AI


 

Track I
Dr Rahul Johari, Associate Professor, Guru Gobind Singh Indraprastha University, East Delhi Campus, Delhi, India.
Track II
Dr. Nilam Choudhary, Associate Professor, Coordinator Idea Lab, SKIT Jaipur, India
Track III
Dr Achyut Shankar, Associate Professor, Bennett University, UP India.
Track IV
Dr Aanjey Mani Tripathi, Associate Professor, Galgotias University, UP, India
Track V
Dr. Vishal Jain, Professor, Sharda University, Greater Noida, India.

Biography:

Dr. Amir H. Gandomi is a Professor of Data Science at the Faculty of Engineering & Information Technology, University of Technology Sydney. He is also affiliated with Obuda University, Budapest, as a Distinguished Professor. Prior to joining UTS, Prof. Gandomi was an Assistant Professor at the Stevens Institute of Technology and a distinguished research fellow at BEACON Center, Michigan State University. Prof. Gandomi has published over three hundred journal papers and 12 books, which have collectively been cited 64,000+ times (H-index=110). He has been named one of the most influential scientific minds and received the Highly Cited Researcher award from Web of Science for six years. In a recent study at Stanford University, released by Elsevier, Prof Amir H Gandomi is ranked 24th most impactful researcher in the AI and Image Processing subfield in 2023! He has received multiple prestigious awards for his research excellence and impact, such as the 2024 IEEE TCSC Award for Excellence in Scalable Computing (MCR), the 2023 Achenbach Medal, and the 2022 Walter L. Huber Prize, the highest-level mid-career research award in all areas of civil engineering. He has served as associate editor, editor, and guest editor in several prestigious journals, such as AE of IEEE Networks and IEEE IoTJ. Prof Gandomi is active in delivering keynotes and invited talks. His research interests are global optimisation and (big) data analytics using machine learning and evolutionary computations in particular.

Address:University of Technology Sydney, , Sydney, Australian Capital Territory, Australia

Dr Vishnu of San Jose University, United States

Biography:

Vishnu S. Pendyala, PhD is a faculty member in Applied Data Science and an Academic Senator with San Jose State University, current chair of the Santa Clara Valley Chapters of IEEE Computer and Computational Intelligence Societies, Area 4 Coordinator for Region 6, and a Distinguished Contributor of the IEEE Computer Society. As a past ACM Distinguished Speaker, researcher, and industry expert, he gave nearly 100 talks and tutorial sessions in various forums such as faculty development programs, the 12th IEEE GHTC, IEEE ANTS, 12th IACC, 10th ICMC, IUCEE, 12th ACM IKDD CODS and 30th COMAD to audiences at venues such as Stanford University, Google, University of Bolton, Computer History Museum, Universidad de Ingeniería y Tecnología, Lima, Peru, IIIT Hyderabad, KREA, IIT Jodhpur, University of Hyderabad, IIT Indore, IIIT Bhubaneswar. Some of these talks are available on YouTube and IEEE.tv. He is a senior member of the IEEE and ACM. He has over two decades of experience in the software industry in the Silicon Valley, USA. His book, “Veracity of Big Data,” is available in several libraries, including those of MIT, Stanford, CMU, the US Congress and internationally. Two other books on machine learning and software development that he edited are also well-received and found place in the US Library of Congress and other reputed libraries. Dr. Pendyala taught a one-week course sponsored by the Ministry of Human Resource Development (MHRD), Government of India, under the GIAN program in 2017 to Computer Science faculty from all over the country and delivered the keynote in a similar program sponsored by AICTE, Government of India in 2022. Dr. Pendyala served on a US government's National Science Foundation (NSF) proposal review panel in 2023. He received the Ramanujan memorial gold medal and a shield for his college at the State Math Olympiad. He also played an active role in the Computer Society of India and was the Program Secretary for its annual national convention.

Address:San Jose University, USA, , United States






Agenda

ICNDSA-2025 brought together a vibrant community of scholars, researchers, and professionals to share knowledge, present cutting-edge research, and explore emerging trends in the rapidly evolving field of data science and analytics.
A notable aspect of ICNDSA 2025 was the formation of an International Advisory Board, comprising over 25 esteemed experts from more than 15 countries. Their association brought international visibility and academic prestige to the conference, helping us position it on a truly global academic platform.



International Conference on NextGen Data Science and Analytics (ICNDSA 2025)