Our team - BSBI

Our team


Dr. Usman Akhtar is a lecturer at the Berlin School of Business and Innovation in Germany. He is a highly motivated lecturer with a PhD in Computer Science and expertise in Data Science. He is passionate about fostering student success and developing critical thinking skills. He has a proven ability to deliver engaging lectures, design effective course materials, and guide students in their academic and professional development in Data Science. His skills include Machine Learning, Big Data, and Distributed Systems. Dr. Akhtar is enthusiastic about creating a dynamic learning environment that prepares students for rewarding careers in Data Science.

Areas of expertise

  • Cloud-centric IoT
  • Data Acquisition & Curation
  • Cloud Computing
  • Wellness-based Ubiquitous Platforms
  • Performance-based Applications
  • Software Engineering & Architecture
  • Parallel & Distributed Systems
  • Urban Mobility


International Journal Papers

  • Usman Akhtar, Anita Sant’Anna, Chang-Ho Jihn, Muhammad Asif Razzaq, Jaehun Bang and Sungyoung Lee, “A cache-based method to improve query performance of linked Open Data cloud”, Computing (SCI, IF:2.063), 2020
  • Usman Akhtar, Anita Sant’Anna and Sungyoung Lee, “A Dynamic, Cost-Aware, Optimized Maintenance Policy for Interactive Exploration of Linked Data”, Applied Sciences (SCIE, IF: 2.217), Volume 9, No 22, 2019
  • Usman Akhtar, Muhammad Asif Razzaq, Ubaid Ur Rehman, Muhammad Bilal Amin, Wajahat Ali Khan, Eui-Nam Huh, and Sungyoung Lee, “Change-Aware Scheduling for Effectively Updating Linked Open Data Caches”, IEEE Access (SCIE, IF: 3.557), DOI:10.1109/ACCESS.2018.2871511, 2018
  • Ubaid Ur Rehman, Dong Jin Chang, Younhea Jung, Usman Akhtar, Muhammad Asif Razzaq and Sungyoung Lee, “Medical Instructed Real-time Assistant for Patients with Glaucoma and Diabetic Conditions”, Applied Sciences (SCIE, IF: 2.217), doi:10.3390/app10072216, 2020
  • Muhammad Asif Razzaq, Javier Medina Quero , Ian Cleland, Chris Nugent, Usman Akhtar, Hafiz Syed Bilal Ali, Ubaid Ur Rehman and Sungyoung Lee, “uMoDT: An unobtrusive Multi-occupant Detection and Tracking using robust Kalman filter for real-time activity recognition”, Multimedia Systems (SCI, IF:1.956), Accepted, 2020
  • Taqdir Ali, Jamil Hussain, Muhammad Bilal Amin, Musarrat Hussain, Usman Akhtar, Wajahat Ali Khan, Ubaid Ur Rehman, Sungyoung Lee, Byeong Ho Kang, Maqbool Hussain, Muhammad Afzal, Ho-Seong Han, June Young Choi, Hyeong Won Yu and Arif Jamshed, “Intelligent Medical Platform (IMP): A novel dialogue-based platform for healthcare services”, IEEE Magazine: Computer (SCI, IF:3.564), 2019
  • Muhammad Asif Razzaq, Claudia Villalonga, Sungyoung Lee, Usman Akhtar, Maqbool Ali, Eun-Soo Kim, Asad Masood Khattak, Hyonwoo Seung, Taeho Hur, Jaehun Bang, Dohyeong Kim and Wajahat Ali Khan, “mlCAF: Multi-Level Cross-Domain Semantic Context Fusioning for Behavior Identification”, Sensors (SCIE, IF:2.677), Doi: 10.3390/s17102433., 2017
  • Muhammad Bilal Amin, Oresti Banos, Wajahat Ali Khan, Hafiz Syed Muhammad Bilal, Jinhyuk Gong, Dinh-Mao Bui, Soung Ho Cho, Shujaat Hussain, Taqdir Ali, Usman Akhtar, Tae Choong Chung and Sungyoung Lee, “On Curating Multimodal Sensory Data for Health and Wellness Platforms”, Sensors (SCIE, IF: 2.033), vol. 16,no.7, doi:10.3390/s16070980 , 2016.

International Conference Papers

  • Usman Akhtar, and Rafal Kucharski. “Exploring Computational Complexity Of Ride- Pooling Problems.” TRB, USA (2022)
  • Usman Akhtar, Jong Won Lee, Hafiz Syed Muhammad Bilal, Taqdir Ali, Wajahat Ali Khan and Sungyoung Lee, “The Impact of Big Data In Healthcare Analytics”, The 34th International Conference on Information Networking (ICOIN 2020), Barcelona, Spain , 7-10 Jan, 2020
  • Hafiz Syed Muhammad Bilal, Usman Akhtar, Shin Won Chul and Sungyoung Lee, “Just in time Intervention for Personalized Healthcare: Behavior- Context based Intervention Adaptation”, The 34th International Conference on Information Networking (ICOIN 2020), Barcelona, Spain , Jan 7-10, 2020
  • Usman Akhtar, and Sungyoung Lee, “Adaptive Cache Replacement for Efficiently Querying Semantic Big Data”, 2018 IEEE International Conference on Web Services (ICWS), San Francisco, USA, pp.367-370, July 2-7, 2018
  • Muhammad Bilal Amin, Sungyoung Lee, Muhammad Sadiq, Wajahat Ali Khan, Asad Masood Khattak and Usman Akhtar, “Configurable Data Acquisition for Cloud- centric IoT”, 12th International Conference on Ubiquitous Information Management and Communication (IMCOM 2018), Langkawi, Malaysia, Jan 5-7, 2018
  • Usman Akhtar, Muhammad Bilal Amin and Sungyoung Lee, “Evaluating Scheduling Strategies in LOD Based Application”, The 19th Asia-Pacific Network Operations and Management Symposium (APNOMS 2017), Seoul, Korea, Sep 27-29, 2017
  • Usman Akhtar, Jamil Hussain and Sungyoung Lee, “Medical Semantic Question Answering Framework on RDF Data Cubes”, 15th International Conference On Smart homes and health Telematics (ICOST 2017), Paris, France, Aug 29-31, 2017
  • Usman Akhtar, and Sungyoung Lee, “Medical Question Answering Framework To Query Statistical Data”, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017), Jeju island, Korea, July 11- 15, 2017
  • Usman Akhtar, Asad Masood Khattak and Sungyoung Lee, “Challenges in Managing Real-Time Data in Health Information System (HIS)”, 14th International Conference on Smart Homes and Health Telematics (ICOST), Inclusive Smart Cities and Digital Health, pp 305-313, Wuhan, China, May 25-27, 2016

Published Chapter

Usman Akhtar, Mehdi Hassan. “Bigdata mining based on computational Intelligence and Fuzzy Clustering”, Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence, igi-global, 2015


  • Usman Akhtar, Estimating Entity Dynamics in Linked Data Cloud using Poisson Process and Self-Organizing Maps (SOM), Kyung Hee University IndustryAcademic Cooperation Foundation, 10-2019-0002617, South Korea, August, 09, 2019 (Registered)
  • Usman Akhtar, Apparatus for Querying Curated Knowledge Bases through Adaptive Cache Replacement (ACR), Kyung Hee University Industry-Academic Cooperation Foundation, 1020190062237, South Korea, April 28, 2019 (Applied)

Research Interests

Dr. Usman’s research interests lie at the intersection of technology and its applications. He is particularly interested in how cloud computing and distributed systems can be leveraged to solve real-world problems. His research focus areas include:

  • Cloud-centric Internet of Things (IoT)
  • Data Acquisition and Curation
  • Cloud Computing
  • Development of wellness-based ubiquitous platforms
  • Performance-based applications
  • Software Engineering and Architecture
  • Parallel and Distributed Systems
  • Urban Mobility

Conferences, Talks, and Speaking Engagements

  • IEEE ICOIN: IEEE International Conference on Information Networking
  • TRB: Transportation Research Board Annual Meeting
  • ICWS: International Conference on Web Services
  • IMCOM: International Conference on Ubiquitous Information Management and Communication
  • APNOMS: Asia-Pacific Network Operations and Management Symposium
  • EMBC: IEEE Engineering in Medicine and Biology Society Annual International Conference
  • ICOST: International Conference on Smart Homes and Health Telematics

Awards and Honors

  • Brain Korea 21st Century Plus and Ministry of Science and ICT (South Korea)
  • Presidential Scholarship, KyungHee University for the study during PhD
  • Outbound Summer School Lecture “Intelligent Medical Services over TEIN”, July 2020
  • MOOC lectures series on “Big data Acquisition and Persistence”
  • Contributed in “DIGITAL HEALTHCARE PLATFORM: A Software Engineering Approach” Hongreung Publishing, ISBN 979-11-5600-788-3, Aug 2020