Prof. Dr. Sasanka Potluri

Professor für Allgemeine Informatik und Medizininformatik

An der Hochschule seit

  • September 2025

Gremien/Aufgaben

Studiengangsleiter Informatik

Schwerpunkt Lehrtätigkeit

  • Künstliche Intelligenz
  • Maschinelles Lernen und Deep Learning
  • Generative KI
  • Biomedizinische Statistik
  • Digitale Signalverarbeitung
  • Klinische Entscheidungsunterstützungssysteme
  • Datenwissenschaft

Module

  • Einführung Medizininformatik
  • Machine Learning
  • KI-Algorithmen
  • Neural Networks and Deep Learning
  • IT Security
  • Verteilte Systeme

Forschungsinteressen und -felder

Sasanka Potluri betreut gerne Forschungsprojekte und Abschlussarbeiten für B. Sc, M. Sc und Doktoranden in den Bereichen:

  • Medizininformatik
  • KI und ihre Anwendungen
  • Generative KI
  • Klinische Entscheidungsunterstützungssysteme
  • Gesundheitslogistik

Akademische Aus- und Weiterbildung

  • Dr.-Ing. in Elektrotechnik und Informationstechnik, Otto-von-Guericke Universität Magdeburg (Deutschland)
  • Dipl.-Ing. in Information Technology, Alpen-Adria-Universität Klagenfurt (Österreich)
  • B. Tech in Elektronik und Kommunikationstechnik, Jawaharlal Nehru Technische Universität Kakinada (Indien)

Praxiserfahrung

  • Nachwuchsforschungsgruppenleiter – KI-LoV, Universitätsklinikum Jena, Deutschland
  • Projektleiter, Fakultät für Humanwissenschaften, Otto-von-Guericke Universität Magdeburg, Deutschland
  • Wissenschaftler, Fakultät für Elektrotechnik und Informationstechnik, Otto-von-Guericke Universität Magdeburg, Deutschland
  • Wissenschaftliche Projektassistent für EU Projekt, Fakultät für Informatik, Otto-von-Guericke Universität Magdeburg, Deutschland

Aktuelle Bildungs- und Forschungsprojekte

  • Ressourcen- und Prozessoptimierung in Krankenhäusern
  • Forschung zur Generierung synthetischer Gesundheitsdaten
  • Studien zur digitalen Gesundheitsgerechtigkeit
  • Generative KI im Gesundheitswesen

Weitere Angaben

  • Seit 2024 – Mitglied und Reviewer – GMDS (Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie)
  • Seit 2024 – Reviewer European Federation for Medical Informatics
  • Seit 2020 – Reviewer – IEEE Transactions on Network and Service Management
  • Seit 2017 – Reviewer – Elsevier Journals (Engineering Applications of Artificial Intelligence, Journal of King Saud University – Computer and Information Sciences)

Publikationen (Auswahl)

Konferenzbeiträge und Journale

  • 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

Industriegespräche

  • 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)

wissenschaftliche Poster

  • 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