Dr. Gopi Battineni

Dr. Gopi Battineni

Postdoctoral Research Fellow • ML Researcher • Software Developer

Top 2% Global Scientist • H-Index 37 • 100+ Publications

Limerick, Ireland University of Limerick Google Scholar H-Index 37
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About Me

Dedicated and versatile researcher and software developer with a strong foundation in machine learning, synthetic data generation, healthcare informatics, and software development. Proven expertise in clinical research, real-time ML applications, IT infrastructure management, and telemedicine support.

Seeking to leverage experience in data-driven innovation, technical problem-solving, and academic instruction to contribute to impactful projects in health informatics, software engineering, or interdisciplinary research roles. Skilled in developing ML models, handling complex data, and building scalable applications across diverse environments.

100+ Publications
37 H-Index (Google Scholar)
4× Top 2% Global Scientist
10+ Years Research Experience

Work Experience

June 2025 – Present Full Time

Postdoctoral Research Fellow

University of Limerick, Ireland — Biocomputing & Developmental Systems (BDS)

  • Working on the FORGE project (Federated Offline Reflection Grammatical Evolution), developing privacy-preserving multimodal learning systems.
  • Integrating Grammatical Evolution and federated learning to create secure, interpretable ML models for distributed sensitive data.
  • Contributing to synthetic data generation and model generalizability for healthcare-related AI applications.
June 2024 – May 2025 Full Time

Research Fellow

University of Camerino, Italy — Clinical Research Centre

  • Worked on the OSPIMARE Project, analysing clinical research trends and identifying potential risks.
  • Developed and maintained interactive dashboards and data visualization tools.
  • Conducted data analysis and collaborated with multidisciplinary teams including healthcare professionals and data scientists.
Jan 2021 – May 2024 Full Time

Postdoctoral Research Fellow

University of Camerino, Italy — Clinical Research Centre

  • Collaborated with healthcare providers, research institutions, pharmaceutical companies, and regulatory bodies.
  • Developed ML models to predict patient responses to treatments based on genetic makeup and medical history.
  • Feature selection from complex datasets for disease risk prediction and treatment outcome modelling.
Jun–Sep (2023–25) Seasonal

Adjunct Professor

VR Siddarth Engineering College, India — Real-time ML Applications

  • Developed course syllabus covering key topics in machine learning and real-time applications.
  • Delivered lectures on supervised/unsupervised learning, neural networks, and NLP.
  • Conducted hands-on labs in Python, TensorFlow, and PyTorch for real-world ML implementations.
Jan 2019 – May 2025 Full Time

ML Software Developer & Webmaster

International Radio Medical Centre (C.I.R.M.), Rome, Italy — TMAS

  • Designed, developed, and deployed ML models for prediction, classification, and recommendation tasks.
  • Built and maintained scalable ML pipelines and APIs for model serving.
  • Managed hosting environments, domain configurations, SSL certificates, and GDPR compliance.
Sep–Dec 2019 Full Time

Visiting Researcher

University of International Business, Almaty, Kazakhstan

  • Executed research projects in medical informatics including data collection and analysis.
  • Created algorithms to improve healthcare data processing and clinical decision support systems.
Sep–Dec 2019 Internship

Process Modelling Engineer (Intern)

Università Politecnica delle Marche, Ancona, Italy

  • Processed event logs from information systems, pre-processed sequences of operations, and extracted process paths using algorithms.
Jun 2012 – Aug 2014 Full Time

Software Developer

Yantra Software Services, Hyderabad, India

  • Built cross-platform applications using the .NET ecosystem.
  • Worked with SQL Server writing optimized queries, managing database performance and data integrity.

Education

Ph.D. in Medical Informatics 2018 – 2021

University of Camerino, Italy

Excellent with Lode – 110L/110 (NQF 10)

Machine Learning, Deep Learning, Neuro Imaging, Health Data Mining, Python, TensorFlow, R Statistics, Scikit-Learn, Telemedicine, Big Data, Predictive Modelling.

International Master (IMS) in Enterprise Engineering 2016 – 2017

University of Bordeaux, France

Grade A – CGPA 7.2 (NQF 9)

Data Mining, MRP II, GRAI, Enterprise Modelling, Industrial Engineering.

M.S. in Computer Science 2014 – 2016

Sheffield Hallam University, UK

Grade A – CGPA 8.1 (NQF 9)

Web Development, ERP, SAS, Data Structures, RDBMS, MySQL.

B.Tech in Electronics & Communication Engineering 2008 – 2012

JNTU Kakinada, India

First Class with Distinction – CGPA 8.2 (NQF 8)

Java, C, C++, Databases, Antennas, MATLAB.

Programming & Digital Skills

Python Ecosystem

NumPy Pandas Scikit-Learn Keras TensorFlow PyTorch

Statistics & BI

R Statistics Power BI Multivariate Analysis

Programming Languages

C C++ C# MySQL

Web & CMS

HTML CSS WordPress .NET Framework

Data Mining Tools

ProM Disco RapidMiner Weka

Other Tools

Microsoft Office Canva Paint Shop Pro OpenCV TeamViewer
Advanced Medium Basic

Developed Websites

EURICAM UNICAM-FORMESTETICA CIRM-TMAS CIRM-SERVIZI CIRMSTORE CIRMFORMAZIONE TELEPHARMATEC EMANET SEAFARER-WELLBEING

Key Research Projects

2022 – 2024

OSPIEMARE

Co-Principal Investigator

Developed a data observatory for seafarers to improve health status by monitoring communicable and non-communicable diseases, creating standard questionnaire tools, and conducting risk assessments for the Italian Health Ministry.

Health InformaticsData ObservatorySeafarer Health
2021 – 2023

Marche Biobanks

Co-Principal Investigator

Collaborative research platform for personalized medicine funded by EU POR MARCHE FESR 2014/2020. Strategic platform for 4P medicine: Personalized, Predictive, Preventive, and Participatory approaches.

Personalized MedicineEU FundedBiobank
2018 – 2021

Marine Doctor

Principal Investigator

Telemedical software system to simplify medical assistance of seafarers. User-friendly, fast, and compatible with any computer — registers seafarers' and doctors' details and guides medical request submission via questionnaire.

TelemedicineITF FundedSeafarer Health
2025 – Ongoing

FORGE Project

Researcher

Federated Offline Reflection Grammatical Evolution — developing privacy-preserving multimodal learning systems integrating Grammatical Evolution and federated learning for healthcare AI.

Federated LearningPrivacy-Preserving AISynthetic Data

Achievements & Recognition

Achievements

  • Top 2% Global Scientist – Recognized for four consecutive years (2022–2025)
  • Awarded Best Student Coordinator
  • Two research works selected as Cover Stories in Infectious Diseases Journal and Technologies Journal

Citation Metrics

37 Google Scholar
37 Scholar GPS
29 Scopus
23 Web of Science

Funding & Grants

  • 2018 Principal Investigator – Marine Doctor project (ITF Trust UK & C.I.R.M. Italy)
  • 2020 Co-writer – ECPE project (Energy Transition Era)
  • 2021 Principal Investigator – Marche Biobank (EU POR MARCHE FESR 2014/2020)
  • 2022 Principal Investigator – OSPIEMARE (Italian Health Ministry, Grant No. J59J21011210001)
  • 2023 UNICAM Post-Doctoral Fellowship – "AI and ML modeling for neurodegenerative disorders" (4 years)

Personal Skills

  • Led seminars for undergraduates in computer science
  • Project lead at postgraduate level
  • Chaired international conferences and delivered invited talks
  • Excellent familiarity with research methodologies
  • High proficiency in writing and presenting scientific papers

Selected Publications

Showing key JCR-indexed journal publications (* = corresponding author). View full list on Google Scholar

2025

  1. Bhimavarapu U, Battineni G*, Chintalapudi N. Machine Learning-Driven Prediction of Vitamin D Deficiency Severity with Hybrid Optimization. Bioengineering. 2025;12(2):200. IF: 3.8
  2. S. R, Battineni G*. A Survey on Recent Advancements in Auto-Machine Learning with a Focus on Feature Engineering. J Comput Cogn Eng. 2025;4(1):56–63. IF: 13.5
  3. Battineni G*, Chintalapudi N, Di Canio M, Amenta F. Enhancing in-flight medical response: the importance of physicians in managing airborne emergencies. Disaster Emerg Med J. 2025. doi:10.5603/DEMJ.101328

2024

  1. Battineni G*, Chintalapudi N, Amenta F. Machine Learning Driven by MRI for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis. JMIR Aging. 2024;7:e59370. IF: 5.0
  2. Battineni G*, Chintalapudi N., Ricci G. et al. Exploring the integration of AI and AR in maritime medicine. Artif Intell Rev. 57, 100 (2024). IF: 12.0
  3. Battineni G*, Arcese A, Chintalapudi N, et al. Approaches to Medical Emergencies on Commercial Flights. Medicina. 2024;60(5):683. IF: 2.6
  4. Bhimavarapu U, Chintalapudi N, Battineni G*. Automatic Detection and Classification of Hypertensive Retinopathy with Improved CNN and SVM. Bioengineering. 2024;11(1):56. IF: 4.6
  5. Bhimavarapu U, Chintalapudi N, Battineni G*. Brain Tumor Detection and Categorization with Segmentation. Bioengineering. 2024;11(3):266. IF: 4.6
  6. Mahdi SS, Ullah Z, Battineni G. et al. The Telehealth chain: a blockchain framework for secure telemedicine transactions. Ir J Med Sci (2024). IF: 2.1

2023

  1. Battineni G*, Chintalapudi N, Gagliardi G, Amenta F. The Use of Radio and Telemedicine by TMAS Centers in Provision of Medical Care to Seafarers: A Systematic Review. J Pers Med. 2023;13(7). IF: 3.4
  2. Mahdi SS, Battineni G*, et al. How does artificial intelligence impact digital healthcare? A review of AI applications in dental healthcare. Int J Inf Manag Data Insights. 2023;3(1). IF: 10.5
  3. Bhimavarapu U, Chintalapudi N, Battineni G*. Multi-Classification of Lung Infections Using Improved Stacking CNN. Technologies. 2023;11(5). IF: 3.6
  4. Chintalapudi N, Dhulipalla VR, Battineni G, et al. Voice Biomarkers for Parkinson's Disease Prediction Using ML Models. J Data Sci Intell Syst. 2023.

2022

  1. Battineni G*, Chintalapudi N, Amenta F. Model discovery and replay fitness validation using inductive mining techniques in medical training of CVC surgery. Appl Comput Informatics. 2022;18(3–4):245–55. IF: 16.3
  2. Battineni G*, Hossain MA, Chintalapudi N, Amenta F. A Survey on the Role of Artificial Intelligence in Biobanking Studies. Diagnostics. 2022;12(5). IF: 3.2
  3. Battineni G*, Chintalapudi N, Amenta F. Maritime Telemedicine: Design and Development of Marine Doctor. J Pers Med. 2022;12(5). IF: 3.6
  4. Battineni G*, et al. Artificial Intelligence Models in the Diagnosis of Adult-Onset Dementia Disorders: A Review. Bioengineering. 2022;9(8). IF: 4.6

2020 – 2021 (Selected)

  1. Battineni G*, et al. Impact of obesity-induced inflammation on cardiovascular diseases. Int J Mol Sci. 2021;22(9). IF: 5.6
  2. Battineni G*, et al. Improved Alzheimer's Disease Detection by MRI Using Multimodal ML Algorithms. Diagnostics. 2021;11(11). IF: 3.4
  3. Battineni G*, et al. Applications of machine learning predictive models in chronic disease diagnosis. J Pers Med. 2020;10(2). IF: 3.6
  4. Battineni G*, Chintalapudi N, Amenta F. Forecasting of COVID-19 epidemic in four nations by Fb-Prophet ML model. Appl Comput Informatics. 2020. IF: 12.3
  5. Battineni G*, Chintalapudi N, Amenta F. AI Chatbot Design During the Novel Coronavirus Epidemic. Healthc. 2020;8(2). IF: 3.1

Books Authored / Edited

Talks & Academic Roles

Guest Talks & Conferences

  • 2018 Cross-Border Continuous Medical Education (CB-CME), Brussels, Belgium
  • 2019 Guest Talk at International Maritime Health, Hamburg, Germany
  • 2020 ML-based Neuroimaging Presentation, ICART, Malta
  • 2022 Neuroscience Forum – 10th International Conference, Paris, France
  • 2024 Panel Discussion Member – SHIPSAN Congress, Naples, Italy
  • 2025 Lecture on AI Applications in Healthcare – Faculty Development Program, India

Guest Editor

  • Journal of Personalized Medicine
  • Algorithms
  • Frontiers in Applied Mathematics and Statistics

Peer Reviewer

Diagnostics, Electronics, Applied Sciences, Energies, Cancers, Applied System Innovation, International Journal of Health Planning and Management, Maritime Business Review, Mathematics, Processes, Sensors, Transactions on Emerging Telecommunications Technologies, Algorithms, Artificial Intelligence Review, Atmosphere, Earth Science Informatics, Informatics, Journal of Multidisciplinary Healthcare, Sustainability.

Languages

English Italian Telugu Hindi

Contact

gopi.battineni@ul.ie dr.gopibattineni@gmail.com +353 087 101 7474
Limerick, Ireland
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