Dheeraj Kodati

Dheeraj Kodati

Assistant Professor
dheeraj.kodati@mahindrauniversity.edu.in

Dr. Dheeraj Kodati is currently serving as an Assistant Professor in the Department of Computer Science & Engineering at Mahindra University. He holds a Ph.D. in Computer Science with a specialization in Natural Language Processing, Deep Learning, and Large Language Models. With 10 years of experience in the software industry, he brings practical and solution-driven thinking into his academic research. His core interests lie in NLP, Deep Learning, Healthcare Informatics, and Explainable AI. His research spans analysis of clinical and social media texts, with a focus on detecting mental health indicators and healthcare-related patterns. He has published in reputed SCI-indexed journals and leading conferences. Currently, he is working on interdisciplinary research problems involving emotion recognition, multimodal learning, and AI-driven healthcare support systems. Dr. Dheeraj aims to bridge the gap between industry-grade AI applications and academic innovations by developing explainable and scalable models for real-world impact.

Ph.D.

  • Ph.D.- National Institute of Technology, Warangal (2019-2024)

MS

  • MS- University of Central Missouri, USA (2014-2016)

  • B.Tech.- Bharat Institute of Engineering and Technology, Hyderabad (2010-2014)

Experience

  • Dheeraj Kodati is an Assistant Professor in the Computer Science & Engineering Department at École Centrale School of Engineering at Mahindra University.
  • Senior Software Engineer at Apollo Computing Laboratories since December 16, 2019 to January 06 2025.
  • Postdoctoral Researcher (DAAD fellow, Germany-2024).
  • Software Project Consultant at Mission Bhagiratha, Rural Water Supply and Sanitation Department, Government of Telangana from 01.08.2017 to 17.12.2019, developed on both web and mobile applications.
  • Experience in software development at Inverselogix, Hyderabad, as a Java Programmer from 01.06.2016 to 31.07.2017.
  • Programmer Analyst at Scepter Technologies, Baltimore, Maryland, USA, from 21.01.2016 to 06.05.2016.
  • Software Engineer at Apollo Computing Laboratories from 19.04.2014 to 22.12.2014, developed web applications

Publications

2025

  • Chandra Mohan Dasari, Dheeraj Kodati, Nivesh Mittapally, Srinivas Reddy A, Krishna Reddy P, “Graph Neural Networks Based Explainability of Drug-Target Interactions,” 17th International Conference on Bioinformatics and Computational Biology (BICOB), San Francisco, CA, USA.
  • Dheeraj Kodati & Chandra Mohan Dasari. “Detecting critical diseases associated with higher mortality in electronic health records using a hybrid attention-based transformer,” Engineering Applications of Artificial Intelligence, Elsevier, January 2025, Pages: 109649, Volume 139, DOI: https://doi.org/10.1016/j.engappai.2024.109649, SCIE.
  • Dhrupad Sah, Prasad Sankar, Dheeraj Kodati, Chandra Mohan Dasari. “Kmer-Based DNA Sequence Image Representation for Viral Disease Prediction,” 15th International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB), Bangkok, Thailand, 2025, Scopus.

2024

  • Kodati Dheeraj & Tene, Ramakrishnudu. “Advancing mental health detection in texts via multi-task learning with soft-parameter sharing transformers,” Neural Computing and Applications, Springer, 2024, Pages:1433-3058, DOI: 10.1007/s00521-024-10753-7, SCIE.
  • Dheeraj Kodati & Ramakrishnudu, Tene. “Emotion mining for early suicidal threat detection on both social media and suicide notes using context dynamic masking-based transformer with deep learning,” Multimedia Tools and Applications, Springer, May 2024, Pages:1-24, DOI: 10.1007/s11042-024-19411-5, SCIE.
  • Dheeraj Kodati & Ramakrishnudu, Tene. “Detecting sarcasm and hate-related texts on social media for negative emotion mining using two-step multi-class classification with deep learning,” International Conference on Science, Engineering & Technology (ICSET-24), February 27, 2024, Melbourne, Australia, Scopus.

2023

  • Dheeraj Kodati & Chandra Mohan Dasari. “Negative emotion detection on social media dur-ing the peak time of COVID-19 through deep learning with an auto-regressive transformer,” Engineering Applications of Artificial Intelligence, Elsevier, November 2023, Volume 127, Part B, DOI: 10.1016/j.engappai.2023.107361, SCIE.

2022

  • Dheeraj Kodati & Ramakrishnudu, Tene. “Identifying suicidal emotions on social media through Transformer-based Deep Learning,” Applied Intelligence, Springer, September 2022, DOI: 10.1-007/s10489-022-04060-8, SCIE.

2021

  • Kodati Dheeraj & Tene, Ramakrishnudu. “Negative emotions detection on online mental-health related patients texts using the deep learning with MHA-BCNN model.” Expert Systems with Applications, Elsevier, May 2021, DOI: 182. 115265. 10.1016/j.eswa.2021.115265, SCIE.

2020

  • Kodati Dheeraj “Analysing COVID-19 News Influence on Social Media Aggregation,” International Journal of Advanced Trends in Computer Science and Engineering, Volume-9, May 2020, DOI: 10.30534/ijatcse/2020/56932020, Scopus.

Natural Language Processing, Health Care, Deep Learning, Large Language Models, Graph Mining, Explainable AI, Bioinformatics, and Reinforcement Learning.