Palden Lama - Home Page

Palden Lama

Associate Professor
Department of Computer Science
University of Texas at San Antonio

NPB 3.306
One UTSA Circle
San Antonio, TX 78249
Phone: (210) 458-4436
E-mail: palden.lama[at]utsa.edu

Palden Lama is an Associate Professor in the Department of Computer Science at the University of Texas at San Antonio. He received the BTech degree in electronics and communication engineering from the Indian Institute of Technology, Roorkee, in 2003. He has four years of professional experience in the software industry. He received his PhD degree in Computer Science from the University of Colorado, Colorado Springs in 2013. He has also worked as a research aide at the Argonne National Laboratory during his Ph.D study. Dr. Lama's research interests include the areas of Cloud and Edge Computing, AI and Cyber Security. His research has been supported by grants from NSF, NSA, NIH, DOE, DoD, DHS and Rackspace Technology. His research has been recognized with three best paper awards.

News


Research Interests     Publications     AI and Cloud Systems Lab     Teaching     Professional Services     Awards    

Research Interests

  • Cloud and Edge Computing
  • Artificial Intelligence
  • Cyber Security
The rapid evolution and expansion of Internet services present significant challenges for computer scientists, who strive to make these systems more scalable, secure, reliable, and efficient. As the complexity of these systems grows, there is an increasing need to make them self-adaptive and autonomous, reducing human intervention and improving their resilience. Dr. Lama's research focuses on addressing these challenges by working at the synergistic intersection of AI, Cloud and Edge Computing. His work emphasizes developing innovative systems and middleware solutions that enhance the performance, energy efficiency, and security of distributed computing systems. Central to his research is the dual concept of AI for Systems - harnessing AI to automate and optimize system operations and Systems for AI - designing middleware and system software that support scalable, energy-efficient deployment of AI models in resource-constrained environments.

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Teaching

Teaching at the University of Texas at San Antonio, Department of Computer Science
  • CS 4843/5573 Cloud Computing
  • CS 4593/5463, Cloud and Big Data
  • CS 5523, Operating Systems
  • CS 3423, Systems Programming
  • CS 4593, AT: Pathogenic OutBreak Investigation

Previous Teaching at the University of Colorado at Colorado Springs, Department of Computer Science
  • CS 4500/5500, Operating Systems

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Professional Services

    TPC Chair:
  • IEEE Cloud Summit 2024.

    • Track Chair:
  • Grid, Cloud, Internet and Peer-to-peer Computing and Communication (GCIP) track in the IEEE International Conference on Computer Communications and Networks (ICCCN) 2015

    • Travel Award Chair:
  • IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) 2015

    • Editor:
  • IEEE Technical Committee of Distributed Processing (TCDP) Newsletter, 2021 - Present
  • MDPI Electronics: Special Issue: Towards Efficient and Reliable AI at the Edge, 2023
  • MDPI Electronics: Special Issue: Cloud Computing and Smart Systems, 2022

    • Program Committee Member:
  • IEEE Cloud Summit 2025.
  • IEEE International Conference on Communications (ICC) 2022, 2023, 2024
  • IEEE International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM) 2021, 2022
  • IEEE International Conference on Data Science and Systems (DSS) 2021.
  • IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2017
  • IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2014, 2015, 2016, 2017
  • IEEE International Conference on Cloud Computing (CLOUD) 2017
  • IEEE International Conference on High Performance Computing and Communication (HPCC) 2017
  • IEEE International Conference on Computer Communications and Networks (ICCCN) 2017
  • IEEE SmartCity 2017
  • IEEE International Conference on High Performance Computing, Data and Analytics (HiPC) 2016
  • IEEE International Workshop on BigData and Cloud Performance (DCPerf) 2016

    • Reviewer:
  • ACM Computer Surveys
  • ACM Transactions on Autonomous and Adaptive Systems (TAAS)
  • IEEE Transactions on Parallel and Distributed Systems (TPDS)
  • IEEE Transactions on Cloud Computing
  • IEEE Transactions on Network and Service Management
  • IEEE Communications Magazine
  • Concurrency and Computation: Practice and Experience
  • Journal of Parallel and Distributed Systems
  • Journal of Grid Computing
  • Journal of Network and Computer Applications
  • Cluster Computing
  • Future Generation Computer Systems
  • Elsevier Genomics Data
  • IEEE International Conference on Computer Communications (INFOCOM) 2014
  • IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2014
  • IEEE/IFIP Intl Conference on Dependable Systems and Networks (DSN) 2013
  • IEEE International Conference on Computer Communications (INFOCOM) 2012
  • IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2013

Awards

  • Best Paper Awards. IEEE Cloud Summit 2024.
  • Winner of xTechHBCU 2022 competition sponsored by the US Army.
  • Best Paper Nomination. IEEE MASCOTS 2017.
  • Best Paper Award. IEEE CLOUD 2017.
  • NSF Travel Grant Support for IEEE/ACM CCGrid 2015 Conference
  • Student Travel Grant, ACM International Conference on Autonomic Computing, ICAC 2012
  • Student Travel Grant, IEEE International Conference on Dependable Systems and Networks, DSN 2012
  • Outstanding PhD Student of the Year, Department of Computer Science, UCCS, 2010
  • UCCS Graduate Fellowship Award, 2008-2010