Notes on Contributors

Snehashish Chakraverty has an experience of 29?years as a researcher and teacher. Presently, he is working in the Department of Mathematics (Applied Mathematics Group), National Institute of Technology Rourkela, Odisha, as a senior (HAG) professor. Before this, he was with CSIR-Central Building Research Institute, Roorkee, India. After completing graduation from St. Columba's College (Ranchi University), his career started from the University of Roorkee (Now, Indian Institute of Technology Roorkee) and did MSc (Mathematics) and MPhil (Computer Applications) from there securing the first position in the university. Dr. Chakraverty received his PhD from IIT Roorkee in 1992. Thereafter, he did his postdoctoral research at the Institute of Sound and Vibration Research (ISVR), University of Southampton, UK, and at the Faculty of Engineering and Computer Science, Concordia University, Canada. He was also a visiting professor at Concordia and McGill Universities, Canada, during 1997-1999 and a visiting professor of University of Johannesburg, South Africa, during 2011-2014. He has authored/coauthored 16 books, published 333 research papers (till date) in journals and conferences, 2 more books are in press, and 2 books are ongoing. He is in the editorial boards of various International Journals, Book Series, and Conferences. Prof. Chakraverty is the chief editor of the "International Journal of Fuzzy Computation and Modelling" (IJFCM), Inderscience Publisher, Switzerland (http://www.inderscience.com/ijfcm), associate editor of "Computational Methods in Structural Engineering, Frontiers in Built Environment," and happens to be the editorial board member of "Springer Nature Applied Sciences," "IGI Research Insights Books," "Springer Book Series of Modeling and Optimization in Science and Technologies," "Coupled Systems Mechanics (Techno Press)," "Curved and Layered Structures (De Gruyter)," "Journal of Composites Science (MDPI)," "Engineering Research Express (IOP)," and "Applications and Applied Mathematics: An International Journal." He is also the reviewer of around 50 national and international journals of repute, and he was the President of the Section of Mathematical Sciences (including Statistics) of "Indian Science Congress" (2015-2016) and was the Vice President - "Orissa Mathematical Society" (2011-2013). Prof. Chakraverty is a recipient of prestigious awards, viz. Indian National Science Academy (INSA) nomination under International Collaboration/Bilateral Exchange Program (with Czech Republic), Platinum Jubilee ISCA Lecture Award (2014), CSIR Young Scientist (1997), BOYSCAST (DST), UCOST Young Scientist (2007, 2008), Golden Jubilee Director's (CBRI) Award (2001), INSA International Bilateral Exchange Award (2010-2011 [selected but could not undertake], 2015 [selected]), Roorkee University Gold Medals (1987, 1988) for first positions in MSc and MPhil (Computer Applications), etc. He has already guided 15 PhD students and 9 are ongoing. Prof. Chakraverty has undertaken around 16 research projects as the principle investigator funded by international and national agencies totaling about ?1.5?crores. A good number of international and national conferences, workshops, and training programs have also been organized by him. His present research area includes differential equations (ordinary, partial, and fractional), Numerical Analysis and Computational Methods, Structural Dynamics (FGM, Nano) and Fluid Dynamics, Mathematical Modeling and Uncertainty Modeling, Soft Computing and Machine Intelligence (Artificial Neural Network, Fuzzy, Interval, and Affine Computations).

Susmita Mall received her PhD degree in Mathematics from the National Institute of Technology Rourkela, Rourkela, Odisha, India, in 2016. Currently, she is a postdoctoral fellow in National Institute of Technology, Rourkela - 769?008, Odisha, India. She has been awarded Women Scientist Scheme-A (WOS-A) fellowship, under Department of Science and Technology (DST), Government of India, to undertake her PhD studies and Post Doc. Her current research interest includes mathematical modeling, artificial neural network, differential equations, and numerical analysis.

Sumit Kumar Jeswal received the undergraduation degree from G.M. College, Sambalpur, India, the MSc degree in mathematics from Utkal University, Bhubaneswar, India, and the MTech degree in computer science and data processing from Indian Institute of Technology Kharagpur, Kharagpur, India. He is currently pursuing the PhD degree with the Department of Mathematics, National Institute of Technology Rourkela, Rourkela, India. His current research interests include artificial neural network, fuzzy and interval analysis, and numerical analysis.

Romila Ghosh did her master's graduate in statistics from Amity University, India. At present, she is working with the Data Sciences team in one of the reputed Big 4 consulting MNCs. Her areas of interest include biostatistics, population genetics, and data science.

Satyakama Paul is a PhD and postdoctorate in computational intelligence from the University of Johannesburg, South Africa. At present, he is a senior data scientist of a consulting firm in Kolkata, India. His research interests lie in deep learning and its application in various domains such as finance, medical image processing, etc.

Tanmoy Roy is doing his doctoral studies from the University of Johannesburg. His primary research interest is speech emotion recognition (SER), where he is applying the latest machine learning and deep learning techniques to solve the SER problem. His publications include one journal paper in an Elsevier journal named "Communications in Nonlinear Science and Numerical Simulations" and two conference papers, one IEEE and another Elsevier. Apart from that, he has also submitted one book chapter with Springer. Before his doctoral studies, he was an experienced software programmer and worked as an associate consultant at SIEMENS.

Tshilidzi Marwala received his PhD from the University of Cambridge in Artificial Intelligence. He is presently the Vice Chancellor and Principal of the University of Johannesburg. University of Johannesburg is making remarkable progress under his energetic and dynamic leadership. After his PhD, he became a postdoctoral research associate at the University of London's Imperial College of Science, Technology, and Medicine, where he worked on intelligence software. He was a visiting fellow at Harvard University and Wolfson College, Cambridge. His research interests include the theory and application of artificial intelligence to engineering, computer science, finance, economics, social science, and medicine. He has made fundamental contributions to engineering science including the development of the concept of pseudo-modal energies, proposing the theory of rational counterfactual thinking, rational opportunity cost, and the theory of flexibly bounded rationality. He was a coinventor of the innovative methods of radiation imaging with Megan Jill Russell and invented the artificial larynx with David Rubin. His publication list is long, which includes important patents, books, and articles. He has published his work in reputed journals and conferences. His work has been cited by many organizations, including the International Standards Organizations (ISO) and NASA. He collaborates with researchers in South Africa, the United States of America, England, France, Sweden, and India. He regularly acts as a reviewer for international journals. He has received numerous awards and honors including winning the National Youth Science Olympiad, and because of this, he attended the 1989 London International Youth Science Forum, the Order of Mapungubwe, Case Western Reserve University Professional Achievement Award, The Champion of Research Capacity Development and Transformation at SA Higher Education Institutions, NSTF Award, Harvard-South Africa Fellowship, TWAS-AAS-Microsoft Award, and ACM Distinguished Member Award.

Srinivasa Manikant Upadhyayula is the lead analyst for machine learning and automation team at CRISIL Global Research & Analytics with an extensive experience of over a decade in financial services and technology across investment banking, private banking, risk, and finance. He is passionately pursuing an active innovation roadmap to enable artificial intelligence (AI)-based products in financial risk and analytics. He is pioneering initiatives that apply AI, ML, NLP, and big data platforms to automate business processes and control functions, validate model risk scenarios, and proactively manage operational and reputational risk for various large banks.

He holds an MBA in finance with honors from Great Lakes Institute of Management and Bachelor's in electronics and communication engineering from Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya (SCSVMV) University.

Kannan Venkataramanan is a senior quantitative analyst for risk and analytics at CRISIL Global Research & Analytics, which has a broad mandate to build and implement ML- and AI-based automation solutions across clients. He is involved in driving efforts to apply word embedding techniques and NLP algorithms to...