Prof. Dr. Sasanka Potluri

Professor of General Computer Science and Medical Informatics

At the university since

  • September 2025

Committees/tasks

Head of the Computer Science Program

Focus on teaching

  • Artificial Intelligence
  • Machine Learning and Deep Learning
  • Generative AI
  • Biomedical Statistics
  • Digital Signal Processing
  • Clinical Decision Support Systems
  • Data Science

Modules

  • Introduction to Medical Informatics
  • Machine Learning
  • AI Algorithms
  • Neural Networks and Deep Learning
  • IT Security
  • Distributed Systems

Research interests and fields

Sasanka Potluri supervises research projects and theses (BSc, MSc, and PhD level) in:

  • Medical Informatics
  • AI and its Applications
  • Generative AI
  • Clinical Decision Support Systems
  • Health Logistics

Academic training and further education

  • Dr.-Ing. in Electrical Engineering & Information Technology, Otto von Guericke University Magdeburg, Germany
  • Dipl.-Ing. in Information Technology, Alpen-Adria University Klagenfurt, Austria
  • B.Tech in Electronics & Communication Engineering, Jawaharlal Nehru Technological University, Kakinada, India

Practical experience

  • Junior Research Group Leader – “KI-LoV”, University Hospital Jena, Germany
  • Project Leader, Faculty of Human Sciences, Otto von Guericke University Magdeburg, Germany
  • Research Scientist, Faculty of Electrical Engineering & Information Technology, Otto von Guericke University Magdeburg, Germany
  • Research & Project Assistant for EU Project, Faculty of Computer Science, Otto von Guericke University Magdeburg, Germany

Current education and research projects

  • Resource and Process Optimization in Hospitals
  • Research for Generating Synthetic Health Data
  • Studies in Digital Health Equity
  • Generative AI in Healthcare

Further information

  • Since 2024 – Member and Reviewer for GMDS (German Society for Medical Informatics, Biometry and Epidemiology)
  • Since 2024 – Reviewer for the European Federation for Medical Informatics
  • Since 2020 – Reviewer for IEEE Transactions on Network and Service Management
  • Since 2017 – Reviewer for Elsevier Journals including Engineering Applications of Artificial Intelligence and Journal of King Saud University – Computer & Information Sciences

Publications (selection)

Conference papers and journal articles

  • Sasanka Potluri, Alireza Fasih, Laxminand Kishore Vutukur, Fadi Al Machot, Kyandoghere Kyamakya „CNN based High Performance Computing for Real-Time Image Processing on GPU“, 16th IEEE International Symposium on Theoretical Electrical Engineering (ISTET), 2011
  • Sebastian Zug, Tino Brade, Jörg Kaiser and Sasanka Potluri „An approach supporting Fault-Propagation analysis for Smart Sensor Systems“, International Conference on Computer Safety, Reliability and Security, Safe Comp 2012
  • Andre Dietrich, Jörg Kaiser and Sasanka Potluri „Application Driven Environment Representation“, 7th  Internatioanl Conference on Mobile Ubiquitous Computing Systems, Services and Technologies, UBICOMM 2013
  • Sasanka Potluri and Christian Diedrich„High Performance Intrusion Detection and Prevention Systems: A Survey“, 15th European Conference on Cyber Warfare and Security, ECCWS 2016
  • Sasanka Potluri and Christian Diedrich„Accelerated Deep Neural Networks for Enhanced Intrusion Detection System“, 21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016
  • Sasanka Potluri and Christian Diedrich „Deep Feature Extraction for Multi-class Intruison Detection in Industrial Control Systems“, 9th International Conference on Computer Science and Information Technology, ICCSIT 2016
  • Sasanka Potluri, Girish Kumar Reddy Sangala and Christian Diedrich „Identifying False Data Injection Attacks in Industrial Control Systems using Artificial Neural Networks“, 22nd IEEE Internatioanl Conference on Emerging Technologies and Factory Automation, EFTA 2017
  • Sasanka Potluri, Navin Francis Henry and Christian Diedrich „Evaluation of Hybrid Deep Learning Techniques for Ensuring Security in Networked Control Systems“, 22nd IEEE Internatioanl Conference on Emerging Technologies and Factory Automation, EFTA 2017
  • Sasanka Potluri, Shamim Ahmed and Christian Diedrich „Convolution Neural Networks for Multi-class Intrusion Detection System“, – International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2018
  • Sasanka Potluri, Christian Diedrich, Sai Ram Roy Nanduru, Kishore Vasamshetty „Development of Injection Attack toolbox in MATLAB/Simulink for attacks simulation in Industrial Control System Applications“, 17th IEEE International Conference on Industrial Informatics INDIN 2019
  • Sasanka Potluri, Arvind Chandran, Christian Diedrich, Lutz Schega, “Machine Learning based Human Gait Segmentation with Wearable Sensor Platform”, 41st IEEE International Conference of Engineering in Medicine and Biology, EMBC 2019
  • Sasanka Potluri, Srinivas Ravuri, Christian Diedrich, Lutz Schega, “Deep Learning based Gait Abnormality Detection using Wearable Sensor System”, 41st IEEE International Conference of Engineering in Medicine and Biology, EMBC 2019
  • Sasanka Potluri, Christian Diedrich „Deep Learning based Efficient Anomaly Detection for Securing Process Control Systems against Injection Attacks“, 15th IEEE International Conference on Automation Science and Engineering, CASE 2019
  • Sasanka Potluri, Shamim Ahmed and Christian Diedrich, “Securing Industrial Control Systems from False Data Injection Attacks with Convolutional Neural Networks,” Springer-Verlag – Development and Analysis of Deep Learning Architectures, Chapter 8, Springer, 2020
  • Mustafa Sarshar, Sasanka Potluri, Lutz Schega, “Gait Phase Estimation by using LSTM in IMU based Gait Analysis – Proof of Concept”, Sensors 2021, MDPI
  • Saran Karthikeyan, Sasanka Potluri, “Route Planning for Intra-Hospital Patient Transportation using Metaheuristics and Mixed Integer Linear Programming”, 34th Medical Informatics Europe Conference, MIE 2024
  • Yuan Zhu, Cord Spreckelsen, Maximilian Schilling, Sasanka Potluri, “Intelligent Blood Product Management in Hospital: A Data-Driven Model for Optimizing Platelet Inventory”, International Conference on AI in Healthcare, AIiH 2025

Industry Dialogues

  • Sasanka Potluri, Tizian Schörder and Christian Diedrich „Monitoring und Optimization in der Fertigungstechnik mit NAMUR Open Architecture“, Kongress: Automation 2018 (Baden – Baden)
  • Alexander Belyaev, Arun Teja Sriramula, Sasanka Potluri, and Christian Diedrich „Machine-as-a-Service-Integration von Blockchain und Konzepten der I4.0“, Kongress: Automation 2019 (Baden – Baden)

Research Posters

  • Sasanka Potluri and Christian Diedrich, „Securing Industrial Control Systems with Self-Organizing Maps“, Symposium: Digitalisierung in der Automatiom (2017), Magdeburg
  • Jyothsna Kondragunta, Sasanka Potluri „Early Identification of Complex Foot Problems with Adaptive Artificial Intelligence“, 5th European Conference Biomedical Engineering Innovation, Design and Enterpreneurship Alliance, BME IDEA 2017
  • Sasanka Potluri, Saran Karthikeyan, and Yuan Zhu, “Intelligent healthcare logistics: Steps towards optimizing resources and process in hospitals”, MII Symposium 2024
  • Saran Karthikeyan, Cord Spreckelsen, Sasanka Potluri, “Discrete Event Simulation for Optimization of Intra-Hospital Patient Transportation”, 70. GMDS-Jahrestagung, 2025