Sanjiban Sekhar Roy
Professor
School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, TN,india
>>>Researchgate
>>>Books@Amazon
>>>Email : sanjibansroy@ieee.org ; sanjibanroy09@gmail.com ; s.roy[at]vit.ac.in
>>>VIT Website : www.vit.ac.in
>>>Office: SJT 116 A29
Hi everyone,
Welcome to my website!
Here you can find information on my research work, teaching, supervision, publication, and other scholarly activities.
Research Interest
Applications of Machine Learning
Application of Deep Learning(Deep Conv Net, Generative Adversarial Networks (GANs) on imaging and other engineering areas)
Working currently with LLMs
Advanced Natural Language Processing
Subject Teaching in Department
Machine Learning
Web Mining
Social and Information Networks
Data Structure and Algorithms
Design Analysis of Algorithms
Database Management Systems
Computer Programming and Problem Solving(Python and C)
AI
Soft Computing
Programming for Data Science
Pattern Recognition(MTech-CSE,Summer Sem 2020-21)
Advanced Algorithm(Integrated MTech,Win Sem,2021-2022)
Educational Qualifications
Ph.D - Vellore Institute of Technology(VIT)-2016
Research Experience
Worked as a research intern at Dept of Computer Science and Engineering, IIT Kharagpur (2008-2009)
Gate Exam Qualified in CSE(2008)
Memberships & Society
IEEE(Institute of Electrical and Electronics Engineers )
CSI(Computer Society of India)
Rough Set Society
Work Experiences
Professor(VIT University)-1.1.2023 onwards
Associate Professor(VIT University),2016-2022
Assistant Professor(VIT University),2009-2016
Editor of Handbook Of Neural Computation, published by Elsevier,(2017) (https://www.amazon.com/Handbook-Neural-Computation-Pijush- Samui/dp/0128113189). ISBN: 9780128113189.
Editor of book publication entitled as “Bigdata in Engineering Applications:, “Springer book series, Studies in Big Data”, published by Springer,(2018) (Published) , ISBN 978-981-10-8476-8.
Editor of book publication entitled as “Predictive Modeling and Optimization Methods in Science and Engineering”, IGI Global, USA (2018) (published: https://www.igi- global.com/book/handbook-research-predictive-modeling-optimization/185480#table- of-contents). ISBN13: 9781522547662.
Editor in “Handbook of Deep Learning Applications”, published by Springer, (2019), ISBN 978-3-030-11479-4. [ Scopus]
Editor in “Data Analytics in Biomedical Engineering and Healthcare”, Elsevier, ( 2020). ISBN-13: 978-0128193143
Editor in “Predictive modelling for energy management and power systems engineering” Elsevier (2020). ISBN: 9780128177723 .
Editor in Handbook of machine learning applications for genomics, Springer,2022 ISSN : 2197-6503
8. Editor in Handbook of Deep Learning Applications in Image
Analysis, Springer,2022-23, https://sites.google.com/view/royrobertkagita/home
9. Ongoing Call : Handbook of Machine Learning and IoT App for Health
Informatics, CRC press,2023(Completed).
10. Ongoing call for chapters : 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 (𝐀𝐈)
𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡𝐞𝐬 𝐟𝐨𝐫 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬", 𝐭𝐨 𝐛𝐞 𝐩𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝐛𝐲 𝐒𝐩𝐫𝐢𝐧𝐠𝐞𝐫.
Deadline of submission : May 30, 2024 , https://shorturl.at/dfwZ2
Find all above books@amazon by clicking in this link
Publications(Click Here)
Awards
“Ministry of National Education, Romania in collaboration with "Aurel Vlaicu" University Arad Faculty of Engineers, Romania has awarded me with "Diploma of Excellence" as a sign of appreciation for the special achievements obtained in the scientific research activity in 2019”.
Publication Award
Awarded by VIT University(2014 to 2021)