Challenges in Information, Communication and Computing Technology

Dr. V. Sharmila is a Professor and Head of the Department of Computer Science and Engineering at K.S.R. College of Engineering, Tiruchengode, Namakkal, Tamil Nadu, India. She completed her Ph.D. in the field of Data Mining at Anna University in 2018. She has Twenty years of teaching and research experience. She obtained her B.E. in Computer Science and Engineering from K. S. Rangasamy College of Technology, Namakkal, Tamil Nadu, India, in 2002 and her M.E. in Computer Science and Engineering from K. S. Rangasamy College of Technology, Namakkal, Tamil Nadu, India, in 2008. She is a life member of several technical societies and has over 50 technical publications with 107 Google Scholar citations, an h-index of 5, and an i10-index of 1. Her research interests include Data Mining, Artificial Intelligence, Big Data, and Operating Systems. She has served as a reviewer for international journals and participated in over 25 faculty development programs on emerging topics. Dr. S. Kannadhasan is working as an Associate Professor and HoD in the Department of Electronics and Communication Engineering at Study World College of Engineering, Coimbatore, Tamil Nadu, India. He completed his Ph.D. in the field of smart antennas at Anna University in 2022. He has thirteen years of teaching and research experience. He obtained his B.E. in ECE from Sethu Institute of Technology, Kariapatti, in 2009 and his M.E. in Communication Systems from Velammal College of Engineering and Technology, Madurai, in 2013. He obtained his M.B.A. in Human Resources Management from Tamil Nadu Open University, Chennai. He has published around 110 papers in the reputed international journals indexed by SCI, Scopus, Web of Science, and Major Indexing, and more than 250 papers have been presented or published in national and international journals and conferences. Besides, he has also contributed a book chapter. He also serves as a board member, reviewer, speaker, session chair, and member of the advisory and technical committees of various colleges and conferences. He is also to attend the various workshops, seminars, conferences, faculty development programs, STTP, and online courses. His areas of interest are smart antennas, digital signal processing, wireless communication, wireless networks, embedded systems, network security, optical communication, microwave antennas, electromagnetic compatibility and interference, wireless sensor networks, digital image processing, satellite communication, cognitive radio design, and soft computing techniques. He is a member of SMIEEE, ACM, IET, ISTE, FIEI, FIETE, CSI, IAENG, SEEE, IEAE, INSC, IARDO, ISRPM, IACSIT, ICSES, SPG, SDIWC, IJSPR, and the EAI Community. Dr. A. Rajiv Kannan is working as a Professor at the Department of Computer Science and Engineering, K.S.R. College of Engineering, Tiruchengode. He completed her Ph.D. in the field of Network Security at Anna University in 2011. He has Eighteen years of teaching and research experience. He obtained his B.E. in Information Technology from K. S. Rangasamy College of Technology, Namakkal, Tamil Nadu, India, in 2002 and his M.E. in Computer Science and Engineering from K. S. Rangasamy College of Technology, Namakkal, Tamil Nadu, India, in 2004. He published more than 50 research publications in International Journal and Conferences with Citation -160, h-index - 07, i10 index-05. His research specializations are Artificial Intelligence, Machine Learning, Data Mining. Under his guidance, 15 Ph.D., scholars have completed their Ph.D., while 12 are pursuing their doctoral degrees. He received a number of rupees Rs.5,25,000/- from AICTE for organizing two weeks FDP on Intelligent Objects & Technologies for Building Applications on Data Science with Machine Learning Techniques using Internet of Things from 8th to 20th March 2021. He has been credited with publishing three patents covering diverse domains and granted 2 design patents. Dr. P. Sivakumar is working as a Professor in the Department of Computer Science and Engineering at K.S.R. College of Engineering, Namakkal, Tamil Nadu, India. He completed his Ph.D. in the field of Web Mining at Anna University in 2013. He has fifteen years of teaching and research experience. He obtained his B.E. in Information Technology from Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India, in 2004 and his M.E. in Computer Science and Engineering from Annai Mathammal Sheela Engineering College, Namakkal, Tamil Nadu, India. in 2007. He has published around 50 papers in reputed international journals indexed by SCI, Scopus, and Web of Science, and more than 40 papers have been presented or published in national and international journals and conferences. Dr. V. Vennila is working as a Professor in the Department of Computer Science and Engineering at K.S.R. College of Engineering, Namakkal, Tamil Nadu, India. She completed her Ph.D. in the field of Data Mining at Anna University in 2017. She has sixteen years of teaching and research experience. She obtained her B.E. in Information Technology from Mahendra Engineering College, Namakkal, Tamil Nadu, India, in 2004 and his M.E. in Computer Science and Engineering from K. S. Rangasamy College of Technology, Namakkal, Tamil Nadu, India, in 2008. She has published more than 40 research publications in International Journal and Conferences with Citation -78, h-index - 06, i10 index-02. Her research specializations are Artificial Intelligence, Machine Learning, Data Mining. Under her guidance, 1 PhD scholar has completed, while Eight are presently pursuing their doctoral degrees. She has published 2 patents and granted with 2 design patents. She currently acting as active member for reviewing research papers under reputed journals. She has received NPTEL Discipline Star award for Jul-Dec 2023.

Volume 1. 1.Computer Vision and IOT. 2. Healthcare and Medicine Using Computing Technology. 3. Agriculture and Environment Using AL, DL. 4. Industry 4.0 AND 5.0. 5. AI, ML, and Data Science. 6. Emerging Technologies Using Computing Methodologies.

Volume 2. 1. Deep Learning in Healthcare. 2. Cryptography and Security. 3. IoT and Wireless Sensor Networks. 4. Energy and Environment using AI &ML. 5. Artificial Intelligence Applications. 6. Physics and Engineering using Deep Learning & IOT. 7. Emerging Technologies using Deep Learning & IOT. 8. Data Science and Optimization. 9. Social Impact and Applications using AI &ML.