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Dinesh P. Mital, PHD

Department : Health Informatics

Academic Title: Professor

Office Address:


Degree Degree Source Year Awarded
PHD SUNY -Stony Brook 1974
Title Authors Where and When
Penalised Cox regression models for survival data, Duo Zhou; Dinesh P. Mital; Shankar Srinivasan; Masayuki Shibata, International J of medical Engineering and Informatics, Vol 9, No. 1, 2017, pp1-19
Artificial neural network as classification method for prostate cancer incidence , Khaled S. Alqahtani; Shankar Srinivasan; Dinesh P. Mital International J of medical Engineering and Informatics, Vol 9, No. 2, 2017, pp-61-72.
Clinical decision support system as a risk assessment tool to aid in earlier diagnosis of pancreatic cancer Emmase Adams, Dinesh Mital, and Shashi Mehta ,International J of medical Engineering and Informatics , Vol 9, No. 2, 2017, pp 87-100
Research Interests
Biomedical imaging Clinical decision support systems Neural network based applications Knowledge discovery and data mining Clinical data analysis AI and expert Systems
Research Grants
Title Sponsor Effective Dates Role
Molecular Imaging for Breast cancer Detection, Summer Research Grant, Cancer Research Institute, July 2013- August 2013, $ 3,500. Rutgers University July-August 2013 PI
Hemophilia Drugs: Pharmacokinetic Evaluation by MATLAB, Rutgers July 2019 - August 2019 C0-PI
Title Details
Dinesh P Mital  December 2019 Dr. Dinesh P Mital received his B.Eng. degree in Electrical Engineering from Indian Institute of Technology, Kanpur, India in 1968. Thereafter, he received his M.S. and PhD degrees from The State University of New York (SUNY), Stony Brook in 1970 and 1974, respectively. From 1980-1983, worked as a professor in the Department of Electronics and Computer Engineering, University of Roorkee, Roorkee, India. From 1983 to 1999, he worked as an associate professor, in the School of EEE, NTU, Singapore. From 1999 to June 2015, as Associate Professor /Professor in Health Informatics in Heath Informatics, Rutgers, the State University, New Jersey. Currently working as professor in health Informatics, School of health professions, Rutgers University. His current areas of research include, biomedical signal processing, medical image processing, clinical decision support systems, outcome analysis, AI, and neural network based biomedical applications. He has published about 280 technical papers in various international conferences and journals.

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