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Ramakrishnan, S.
Dr.Mahalingam College Engg. and Technology, Pollachi
Coimbatore, India
 
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Dr. S. Ramakrishnan heads the Department of Information Technology at the Dr. Mahalingam College of Engineering and Technology (MCET) in Pollachi, India. He received his BE in electronics and communication engineering from Bharathidasan University, his ME in communication systems from Madurai Kamaraj University, and his PhD in information and communication engineering from Anna University. He has 22 years of teaching experience, one year of industry experience, and four years of research experience.

Ramakrishnan has published 198 papers in numerous conferences and journals, including IEEE Transactions on Image Processing, IEEE Transactions on Industrial Electronics, IET Image Processing, and Healthcare Technology Letters. He reviews for a number of international journals and serves on the editorial boards of six. He is an Associate Editor at IEEE Access and is acting as a guest editor for special issues of Telecommunication Systems, International Journal of Information and Computer Security, International Journal of Computer Science, and International Journal of Tomography and Statistics.

At Anna University, Ramakrishnan was Convener of the IT Board of Studies (BoS). He successfully guided nine PhD candidates in addition to several BE and ME projects. Ramakrishnan has also organized many national and international conferences, as well as training programs for both faculty members and students. He has delivered a number of guest lectures, including three keynote addresses at IEEE international conferences.

Ramakrishnan’s areas of interest include digital image processing, information security, and soft computing. He has authored 12 books on such topics as image processing, speech processing, pattern recognition, wireless sensor networks, and cryptography. His research has been sponsored by the Council of Scientific & Industrial Research (CSIR), the All India Council for Technical Education (AICTE), and the Defence Research and Development Organisation (DRDO).

Ramakrishnan has been a reviewer for Computing Reviews since 2010.

 
 
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   Technology and global public health
Murthy P., Ansehl A.,  Springer International Publishing, New York, NY, 2020. 425 pp. Type: Book (978-3-030463-54-0)

Applications of modern technology in various traditional domains are gaining momentum. In particular, various modern technologies in healthcare can improve treatment outcomes and quality of life for both medical practitioners and patients....

Jun 1 2022  
   Python distilled
Beazley D.,  Addison-Wesley Professional, Boston, MA, 2021. 352 pp. Type: Book (978-0-134173-27-6)

Python has been around for more than two decades. It was introduced in the early 1990s as a simple programming language and by 2000, we had Python 2. Ever since 2008, however, Python 3 has been the more popular and powerful language. Now almost al...

Mar 25 2022  
   Artificial intelligence and judicial modernization
Cui Y.,  Springer International Publishing, New York, NY, 2020. 224 pp. Type: Book (978-9-813298-80-4)

Artificial intelligence (AI) has been an important branch of computer science for more than three decades. AI has found applications in games like chess, natural language processing (NLP), robotics, social media, and so on. Several countries deplo...

Feb 19 2021  
  Image texture analysis: foundations, models and algorithms
Hung C., Song E., Lan Y.,  Springer International Publishing, New York, NY, 2019. 258 pp. Type: Book (978-3-030137-72-4)

Texture analysis plays an important role in machine vision and pattern recognition. Along with the emergence of artificial intelligence (AI) comes an increase in applications requiring image texture analysis. Deep learning (DL)-based approaches ar...

Feb 18 2021  
   Learn RStudio IDE: quick, effective, and productive data science
Campbell M.,  Apress, New York, NY, 2019. 164 pp. Type: Book (978-1-484245-10-1)

R is one of most popular programming languages used in statistical computing. RStudio is an easy-to-use, free, and open-source integrated development environment (IDE) to learn, apply, and develop an R program. Campbell’s book provides step-...

May 21 2020  
   R data science quick reference: a pocket guide to APIs, libraries, and packages
Mailund T.,  Apress, New York, NY, 2019. 256 pp. Type: Book (978-1-484248-93-5)

Data science is a popular buzzword in the information technology industry. It is very much essential to running a successful business, that is, for analyzing the huge amounts of business and customer data. Hence, all industries now use data scienc...

Jan 2 2020  
  Lie group machine learning
Fanzhang L., Li Z., Zhao Z.,  Walter de Gruyter & Co., Berlin, Germany, 2018. 533 pp. Type: Book (978-3-110500-68-4)

Machine learning, one of the evergreen fields of electrical engineering, has recently gained momentum and has a number of new and innovative applications. Related fields, such as artificial intelligence, deep learning, brain learning, tensor flow,...

Dec 4 2019  
  Smartphone-based real-time digital signal processing (2nd ed.)
Kehtarnavaz N., Sehgal A., Parris S.,  Morgan&Claypool Publishers, San Rafael, CA, 2019. 155 pp. Type: Book (978-1-681734-65-1)

Digital signal processing (DSP) has been a core course in electrical engineering for the past three or four decades. Since its emergence, there have been many new and efficient techniques for signal processing. These techniques can be implemented ...

Apr 18 2019  
  Prediction of HIV drug resistance by combining sequence and structural properties
Khalid Z., Sezerman O.  IEEE/ACM Transactions on Computational Biology and Bioinformatics 15(3): 966-973, 2018. Type: Article

Human immunodeficiency virus infection and acquired immune deficiency syndrome (HIV/AIDS) has been one of the deadliest diseases for the past three decades. Treatment is challenging even today....

Nov 7 2018  
   Advances in soft computing and machine learning in image processing
Hassanien A., Oliva D.,  Springer International Publishing, New York, NY, 2018. 718 pp. Type: Book (978-3-319637-53-2)

Both soft computing techniques and machine learning algorithms have very important tasks in image processing applications. With the artificial intelligence (AI)-based applications emerging in the market today, image processing techniques have gain...

Jul 19 2018  
 
 
 
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