Dr. Gopi Battineni Ph.D, ME, MS

With a robust educational foundation and extensive research experience, I have cultivated a strong expertise in machine learning, medical informatics, and data mining. My academic journey began with a Bachelor of Technology in Electronics and Communication Engineering from Jawaharlal Nehru Technological University (IND), where I developed a solid grounding in programming, databases, and signal processing. This was followed by a Master’s degree in Computer Science from Sheffield Hallam University (UK), where I deepened my knowledge in web development, ERP systems, and data structures. My education continued with an International Master in Enterprise Engineering from the University of Bordeaux (France), which equipped me with advanced skills in data mining, enterprise modeling, and industrial engineering. This multidisciplinary background has been instrumental in my ability to approach complex problems from various angles, combining technical proficiency with strategic insight. The pinnacle of my academic achievements is a Ph.D. in Medical Informatics from the University of Camerino, where I specialized in machine learning applications for the diagnosis of chronic diseases, clinical research, text mining of medical documents, and health data mining.

In my current role as a Research Fellow at the University of Camerino, I apply my extensive research skills to develop machine-learning models that predict patient responses to treatments based on genetic data and medical history. This work involves rigorous data analysis, feature selection, and collaboration with healthcare providers and pharmaceutical companies. My research supports the development of personalized treatment plans, enhancing the precision and effectiveness of medical interventions. Throughout my career, I have demonstrated a strong aptitude for process modeling, as evidenced by my internship at the University of Delle Marche, where I pre-processed data from event logs to extract actionable insights about operational processes. Additionally, my role as a Database Engineer at Yantra Software involved designing and building robust data pipelines and ETL systems, further showcasing my capabilities in handling and analyzing large datasets. These experiences have honed my skills in predictive modeling, statistical analysis, and the application of machine learning to real-world healthcare challenges.

News

• Having global recognition as one of the top 2% of scientists for the three consecutive years (2022-24).

• Awarded as best student coordinator

• Two research works were selected as cover stories in Infectious Diseases Journal and Technologies journals  

Grants

• 2018-21: Principal investigator in the development of a Marine Doctor project based on telemedical knowledge funded by ITF Trust (UK) and International Radio Medical Centre (Italy)

• 2020: Co-writer for the project enabling consumers to become Prosumer in the Energy Transition Era (ECPE)

• 2022-25: Principal investigator in Marche Biobank funded by European Union POR MARCHE FESR 2014/2020 (Salary paid for 36 Months).

• 2022-24: Principal investigator in OSPIEMARE (Medical observatory for seafarers) funded by the Italian Health Ministry by grant No. J59J21011210001 

• 2023-24: UNICAM post-doctoral fellowship on “AI and ML modeling for diagnosis of neurogenerative disorders” for three years (Salary paid for 12 Months)

Guest talks

• 2018:  Cross- Border Continuous Medical Education (CB-CME) at Bruxelles, Belgium

• 2019: Guest talk at International Maritime Health in Hamburg, Germany

• 2020: Presentation on AI at ICART, Malta

• 2021: Paper presentation at BioImagining  proceedings, Madrid, Spain 

• 2022: Neuroscience forum at 10th International Conference, Paris, France 

• 2024: Public Health Congress on Maritime Transport and Ports 2024, Napoli, Italy 

• 2025:  Lecture on AI applicaitons in healthcare during faculty development program (FDP), India.   

Editor and peer review

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.