The training will offer a balanced mix of lectures on the theory of glaciers and their modelling and practical sessions with the OGGM model. It will cover the following topics:

• General introduction to glaciers
• Climatic mass-balance: Processes and modelling
• Practicals: Temperature index modelling with OGGM
• Ice flow: Processes and modelling.
• Practicals: Numerics of simple differential equations, flowline modelling with OGGM
• Glacier system modelling: Glacier-climate interactions, coupling, uncertainties
• Practicals: real glacier experiments with OGGM.
• Regional hydrology with a focus on the Upper Indus Basin
• Glaciers in the hydrosphere: Glacier runoff
• Practicals: peak-water and runoff partitioning with OGGM
• Scientific programming with the Python programming language and practising open-source software development on github
• Excursion: Visit the LUMS campus and research facilities, outdoor field visit to relevant site

Workshop Dates: 10 March 2023 to 16 March 2023

Application deadline: 07 February 2023

Announcement of selected participants: 10 February 2023

For more details click here 

Usman A. Fiaz received his bachelor’s (BS) and master's (MS) degrees in Electrical Engineering from Pakistan Institute of Engineering and Applied Sciences (PIEAS) and King Abdullah University of Science and Technology (KAUST), respectively, in 2015 and 2017. He obtained his doctoral degree (PhD), also in Electrical Engineering, from the University of Maryland, College Park (UMD) in 2022, with a specialization in Robotics, Control, and Learning. Currently, he is a Postdoctoral Fellow in Autonomy and Cyber-Physical Systems (CPS) at the National Institute of Standards and Technology (NIST), USA. He also holds an affiliate appointment with the Department of Electrical and Computer Engineering (ECE) and the Institute for Systems Research (ISR), at the University of Maryland, College Park (UMD). 
Dr. Fiaz’s research interests lie in some of the modern areas of control theory, robotics, and machine learning with special emphasis on autonomous multiagent systems. More specifically, he is interested in designing theory, algorithms, and physical implementations for achieving assured autonomy in multiagent systems, such as teams of autonomous robots and vehicles (across all terrains and space), that can provide simultaneous assurances on: for example, safety and finite-time completion etc., during various complex tasks. In addition to his contributions to academia and research, Dr. Fiaz also has an extended history of collaborations with world-renowned industry. He has held visiting research positions at Intel (2021), ABB (2020), Nokia Bell Labs (2019), Mitsubishi Electric Research Labs (2018), and CERN (2014). 
Dr. Fiaz is a member of the IEEE, the IEEE Robotics and Automation Society, and the IEEE Control Systems Society. He is a recipient of the Ann G. Wylie Dissertation Fellowship (2022), the Michael J. Pelczar Award for Graduate Excellence (2021), the Future Faculty Fellowship (2021), and the Outstanding Graduate Assistant Award (2018) from the University of Maryland; the Outstanding Achievement in Robotic Orchestration Award from Nokia Bell Labs (2019), the IFAC Young Author Award (Finalist) at the IFAC Mechatronics Symposium (2019), a 2nd Runner-up finish and a Bronze Medal at the MBZIRC Robotics Challenge (2017), and the President's Gold Medal for achieving the highest distinction during his BS from Pakistan Institute of Engineering and Applied Sciences (2015).
 

Asad Abidi received the BSc degree in Electrical Engineering from Imperial College, London, in 1976, and the Ph.D. from the University of California, Berkeley, in 1982. He worked at Bell Laboratories, Murray Hill until 1985, and then joined the faculty of the University of California, Los Angeles, where he is Distinguished Chancellor’s Professor of Electrical Engineering. With his students, he has developed many of the radio circuits and architectures that enable today’s mobile devices. Among other awards, Professor Abidi has received the 2008 IEEE Donald O. Pederson Award in Solid-State Circuits and the Best Paper Award from the IEEE Journal of Solid-State Circuits in 2012. The University of California, Berkeley’s Department of EECS recognized him as a Distinguished Alumnus in 2015. He was elected Fellow of IEEE in 1996, Member of the US National Academy of Engineering, and Fellow of TWAS, the world academy of sciences. Professor Abidi holds the Abdus Salam Chair at the SBASSE School of Science & Engineering, LUMS, Lahore.

The event is open to the public. Visitors from outside LUMS can register at: 

https://form.jotform.com/221710914790050. 

Prof. Asad Abidi received the BSc degree in Electrical Engineering from Imperial College, London, in 1976, and the Ph.D. from the University of California, Berkeley, in 1982. He worked at Bell Laboratories, Murray Hill until 1985, and then joined the faculty of the University of California, Los Angeles, where he is Distinguished Chancellor’s Professor of Electrical Engineering. With his students, he has developed many of the radio circuits and architectures that enable today’s mobile devices. Among other awards, Professor Abidi has received the 2008 IEEE Donald O. Pederson Award in Solid-State Circuits and the Best Paper Award from the IEEE Journal of Solid-State Circuits in 2012. The University of California, Berkeley’s Department of EECS recognized him as a Distinguished Alumnus in 2015. He was elected Fellow of IEEE in 1996, Member of the US National Academy of Engineering, and Fellow of TWAS, the world academy of sciences. Professor Abidi holds the Abdus Salam Chair at the SBASSE School of Science & Engineering, LUMS, Lahore.

Ali Imran is (full) Professor of Cyber Physical Systems in James Watt School of Engineering, at the University of Glasgow. He is also  Williams Professor (tenured) of Telecommunications and Networking, and Presidential Professor in ECE and the founding director of the AI4Networks Research Center at the University of Oklahoma (OU), USA. (He is currently on Sabbatical leave from OU). His research interests include brain inspired advances in AI and its innovative applications in wireless networks and healthcare. His work on these topics has resulted in several patents and over 150 peer-reviewed articles including some of the highly influential papers in the domain of wireless network automation and AI based

diagnostics using mobile and wearable devices. His groundbreaking work on these topics has been covered by numerous international news portals such as Voice of America, Fox News , IEEE Spectrum and PTV World. On these topics he has led numerous NSF, NASA, FDA and industry funded multinational projects, given invited talks/keynotes and tutorials at international forums, and advised major public and private stakeholders and co-founded multiple successful start-ups.

The faculty of Electrical Engineering, Syed Babar Ali School of Science and Engineering, is offering a new undergraduate program Minor in Robotics. Robotics is an interdisciplinary field that builds on several core engineering and science disciplines such as Electrical Engineering, Computer Science, Mechanical Engineering, Mathematics, and Physics. The Minor in Robotics program is intended to provide a platform to LUMS students in general and SSE students in particular, with a passion for Robotics, to develop expertise in this exciting domain and widen their horizon for future pursuits. The objective of this program is to train the students in the control, programming, and integration of Robotics and Autonomous systems. Learn more about this program here. 

Prof. Dr. Karsten Berns has studied computer science with a special focus on artificial intelligence at the University of Kaiserslautern (1982 to 1988). For his research on "Neural Networks for the Control of a six-legged Walking Machine" he received his PhD from the University of Karlsruhe in 1994. As head of the IDS (Interactive Diagnosis and Service Systems) department of the Research Center for Information Technology (FZI), Karlsruhe (till 2003) he examined adaptive control concepts for different types of service robots. Since 2003 he is a full professor at the University of Kaiserslautern.

Present research activities are the realization of reliable, complex autonomous robotic systems. Therefore, he and his research group are developing the robotic middleware Finroc, the behavior-based control architecture iB2C as well as different validation and verification methodologies. The main application is off-road robotics, in which autonomous or semi-autonomous vehicles like small a truck, an excavator, a shuttlebus, tractors, and rescue robots are under development. In the range of humanoid robots, the social robot ROMAN and Robin is developed for the investigation of human robot interaction. Also a biological inspired biped locomotion is under development including soft actuators and the mechatronics system of the biped.

Prof. Berns is frequently reviewer and associated editor of several journals and robotic conferences like ICRA, IROS, Humanoids. Furthermore, he is editor of the ELSEVIER journal Robotics and Autonomous Systems a member of a number of editorial boards. He also acts as reviewer for several national and international funding organizations. He was general chair of several national and international conferences. He is member of the IEEE and the Gesellschaft für Informatik (GI).

He is a member of the executive committee of the German Robotics Association (DGR) and is leader of the technical committee for robotic systems of the GI. He was Dean of the department of computer science at the University of Kaiserslautern (2007 – 2010) and was member of the scientific directorate Schloss Dagstuhl - Leibniz Center for Informatics (2008- 2014). From 2010 till 2020 he was spokesperson of the Center for Commercial Vehicle Technology (ZNT) at the University of Kaiserslautern and the Commercial Vehicle Cluster, Kaiserslautern.

Dr. Talha Manzoor is generally interested in the modelling, control and estimation of socio-ecological systems where environmental phenomena overlap with societal and technological processes. He is especially intrigued by behavioral processes that lead to unexpected outcomes in complex systems. In his research he employs tools from systems and control theory, treating humans as endogenous elements of the system, as opposed to the conventional incorporation of human behavior as disturbances, exogenous inputs, or uncertainties.

Dr. Talha currently serves as an Assistant Professor at the Center for Water Informatics and Technology (WIT) at LUMS. At the Center he is involved in modelling and decision making for socio-hydrological systems with a focus on water in agriculture. He is also leading field investigations to study the operational hydrology of small rain-fed catchments through the deployment of hydrometeorological sensor networks and associated technologies. At LUMS, Dr. Talha teaches courses related to systems analysis, control, and robotics. His course on socio-ecological systems and sustainability covers different theoretical frameworks to study coupled human-natural systems under modern notions of sustainability. He holds a BS in Mechatronics Engineering from NUST and an MS in Computer Engineering from LUMS. He completed his PhD in Electrical Engineering from LUMS in 2018.

Ishtiaq Rasool Khan did B.Sc. in Electrical Engineering at University of Engineering & Technology, Taxila, Pakistan; MS in Systems Engineering at Quaid-i-Azam University, Islamabad, Pakistan; and MS in Information Engineering and Ph.D. in Digital Signal Processing at Hokkaido University. He has worked at Hokkaido University, Japan; University of Kitakyushu, Japan; Kyushu Institute of Technology, Japan; Institute for Infocomm Research, A*STAR, Singapore; and King Abdulaziz University, KSA, in the past. Currently, he is a professor at the College of Computer Science and Engineering, University of Jeddah. His current research interests include high dynamic range image/video processing, medical image enhancement, and data clustering.

This workshop is a part of the 13th Teaching the Teachers Workshop series conducted by Dr. Asad Ali. Abidi, Distinguished Chancellor’s Professor at the Electrical Engineering Department, University of California, Los Angeles, USA.  

In this workshop, Professor Abidi will focus on the physical design of digital ICs. It is aimed at teachers and practitioners with a strong background in circuits and devices. The presentations, although starting from first principles, are calibrated to a professional audience.

The workshop will be conducted at LUMS Syed Babar Ali School of Science and Engineering.

Duration:  Aug 29 - Sep 02, 2022. 

Eligibility Criteria: Applicants need to be students, full/part-time faculty members at HEC recognized universities or degree awarding institutes or working in the industry in the capacity of an Electrical/Electronics Engineer or relevant technical post. 

Application Procedure: Fill out the workshop registration form available at the following address here, 

Application Deadline: 15th Aug 2022.
Successful candidates will be notified till 17th August 2022, (Limited seats available).

Registration Fee: Selected candidates will be required to send a Bank Draft of Rs 10,000/- (for the industry) or Rs 5,000/- (for the academics) in favor of “Lahore University of Management Sciences (LUMS)” via courier to:

Mr. Affan Anwar
Assistant Manager 
Department of Electrical Engineering,
Syed Babar Ali School of Science and Engineering
Lahore University of Management Sciences, DHA Phase 5, Lahore

 OR

To pay in cash by visiting SBASSE, LUMS. 

Please note that the deadline for payment of the registration fee by either option is August 22, 2022.

Dr. Muhammad Bilal is an educator, researcher, and a maker. His research interests include Digital Signal and Image Processing, Machine Learning, Artificial Intelligence, Digital/Analog circuit design, Embedded systems Development and Robotics. He is an Associate Professor in the Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia. Prior to joining KAU in 2014, he has worked as a post-Doctoral researcher at KAIST, South Korea.  He obtained his PhD in Electrical Engineering from LUMS in 2013.  

Learn more Here.