Dr. Akhter Mohiuddin Rather
Dr. Akhter Mohiuddin Rather obtained Ph.D. in Computer Science (specialization in Machine learning & Data Sciences) from the University of Hyderabad in collaboration with the Institute for Development & Research in Banking Technology (IDRBT), Hyderabad (established by the Reserve Bank of India). During his Ph.D., Dr. Akhter was selected for a research fellowship from IDRBT. His research interest includes Artificial neural networks and Deep learning-based models for classification and regression-based problems, image classification, and object detection. At present Dr. Akhter works as an Associate Professor in the Department of Analytics, Great Lakes Institute of Management, Gurgaon. He has over 5 years of teaching experience at the past at Woxsen School of Business Hyderabad and VJIM Hyderabad. Dr. Akhter is a reviewer of some prestigious journals, such as the European Journal of Operational Research (Elsevier), Neurocomputing (Elsevier), Applied Soft Computing (Elsevier), Journal of Forecasting (Wiley), etc. In 2019, Dr. Akhter Mohiuddin was nominated for an award of “Best young scientist below 40 years” by GISR India.
Journal Articles
- A.M. Rather, A new method of ensemble learning: Case of cryptocurrency price prediction, Knowledge and Information Systems, 1-19, 2022, Springer Nature
- A.M. Rather, LSTM-based Deep Learning Model for Stock Prediction and Predictive Optimization Model, EURO Journal on Decision Processes, 2021, Elsevier
- A.M. Rather, Deep Learning and Autoregressive Approach for Prediction of Time Series Data, Journal of Autonomous Intelligence, 2021, Frontier Scientific Publishing
- A.M. Rather, V.N. Sastry, A. Agarwal, Stock Market Prediction and Portfolio selection Models: A Survey, OPSEARCH, 2017, Springer
- A.M. Rather, A. Agarwal, V.N. Sastry, Recurrent neural network and hybrid model for prediction of stock returns, Expert Systems with Applications, 2015, Elsevier
- A.M. Rather, A Hybrid Intelligent Method of Predicting Stock Returns, Advances in Artificial Neural Systems, 2014, Hindawi
- Portfolio Selection using Mean-Risk Model and Mean-Risk Diversification Model, International Journal of Operational Research, 2010, Inderscience
Book Chapter
- A.M. Rather, Integration of Vector Autoregression & Artificial Neural Networks: A Robust Model for Prediction of Non-stationary Data, Smart Intelligent Computing and Applications, 2019, Springer
Conference Proceedings
- J Mathew, A Chaudhuri, A.M. Rather, Management Leadership Visibility: A Marketing Asset for Engaging Millennials, European Conference on Management Leadership and Governance, 2022
- A.M. Rather, Computational Intelligence based Hybrid Approach for Forecasting Currency Exchange Rate, International Conference on Recent Trends in Information Systems, 2015, IEEE
- A.M. Rather, Portfolio Selection using Maximum Entropy Gain Loss Spread Model: A GA based Approach, Second International Workshop on Mathematical Modelling and Scientific Computing, 2014, IEEE
- A.M. Rather, Optimization of Predicted Portfolio Using Various Autoregressive Neural Networks, International Conference on Communication Systems and Network Technologies, 2012, IEEE
- A.M. Rather, A Prediction based Approach for Stock Returns Using Autoregressive Neural Networks, World Congress on Information & Communication Technologies, 2011, IEEE
Mainstream Press
- 'How AI and Automation are Changing the Nature of Work', published in Dataquest (2022)
- Quoted in 'Computational Economics Can Help Achieve Better Economics', published by The Times of India - Hyderabad & Bangalore (2022)
- 'Challenges of Artificial Intelligence in Business Curriculum', published by Dataquest (2022)
- 'AI is the Key in Detecting Fake News', published by The Hindu BusinessLine (2021)
- 'AI in Management courses can give you an edge', quoted by TOI Education Times (2021)
- 'Women Entrepreners in Artificial Intelligence Domain', published by BusinessWorld Education (2021)
- 'Build managers of the future', published by The Hindu (2021)
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