Arsham Mostaani Email and Phone Number
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With a PhD in a highly interdisciplinary topic, the use of AI for 6G communications, I can effectively keep up with the fast pace of evolving IT technologies, criticize them and tailor them to suit a particular application. I have initiated many innovative solutions in the past either as a researcher, as a product manager or as an engineer.As an AI expert: I have extensive experience and knowledge in designing (Deep) reinforcement learning (RL) algorithms for the control and communications in decentralized multi-agent systems under local observability and communication bandwidth constraints. I have experience deploying standard deep RL algorithms for mobility management tasks in the 5G cellular networks of Nokia. I have designed and implemented novel RL algorithms to measure the value of information at scale and with numerous applications in future 6G networks.As a researcher: I have pioneered a new class of data compression algorithms that helps more effective communications between machines, sensors or AI engines. These algorithms use deep reinforcement learning to infer the usefulness or meaning of data before being communicated and find a wide range of applications. The applications include but are not limited to IoT, Cyber-Physical Systems, Smart Manufacturing, Autonomous Driving, Satellite Communications and RegTech.As an Entrepreneur (at heart): My product management experience, my exposure to startup competitions and business strategy courses, as well as project works with Venture Capitals (VCs) enable me to quickly analyze niche markets, understand their gaps and opportunities, and realize how different technologies can help a certain business to thrive.
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Senior Back End DeveloperLosch Luxembourg Feb 2024 - PresentLuxembourg, LuxembourgIntelligent algorithm design, testing and prototyping for the mobility and energy sector. -
Optimization R&DSimdle Mobility Feb 2024 - PresentLuxembourg, LuxembourgAI and ML for intelligent logistics and route planning:- Solving combinatorial optimization problems using ALNS- Troubleshooting and customization of ALNS for different client instances- Upgrading the operator selection mechanism of an ALNS algorithm by the Upper Confidence Bound (UCB) method, improving the speed of the prior implementations by X2- Hyperparameter tuning of ALNS- EV range prediction with ML, from data collection to model deployment - achieved 85% accuracy. -
Postdoctoral Research FellowSnt, Interdisciplinary Centre For Security, Reliability And Trust May 2023 - Feb 2024Luxembourg, Luxembourg -
Visiting Research FellowEurecom Jun 2023 - Dec 2023Nice, Provence-Alpes-Côte D'Azur, France -
Venture Captial ScholarMiddlegame Ventures Aug 2023 - Sep 2023Luxembourg, LuxembourgThis was a very selective program for tech and investment enthusiasts to learn from the VC experts in the fast-paced and futuristic realm of fintech VC. It was a one-month immersive experience, composed of a mix of insight sessions along with a series of missions and case studies to be completed. The ultimate goal was to analyse different market segments and rank real world fintech startups within each segment in terms of the startup invest prospect. -
Researcher Phd CandidateUniversity Of Luxembourg Dec 2018 - May 2023Luxembourg• Pioneering the design of (3X more effective) data compression algorithms via AI for communication between AI agents• My startup idea - based on my PhD results - won a pre-seed fund,• 10 publications in the top 10% of scientific venues - see my Google Scholar,• Coauthoring 4 research proposals for public grants, one has already won FNR core funding of about EUR 700K,• My research finds applications in distributed vehicular communications, satellite communications, privacy-preserving recommender systems, smart manufacturing, block-chain systems,Courses taken:• By Duke University - Machine Learning Project Management - 2023 (Online)• By Copenhagen Business School - Strategic Management Nano Degree - 2021 (Online)• By IEEE Information Theory Society - European School of Information Theory - 2018, 2019, 2021 (At campus)• By University of Luxembourg - Philosophy of Mind (Ethics in AI) - 2020 (At campus)• By Tsinghua University (ranked 13th in CS) - Deep Learning - 2019 (At campus)• By University of Luxembourg - Advanced Statistics for Quantitative Finance - 2019 (At campus)• By Luxembourg Science Centre - Science Communication 2019 (At campus)• By University of Luxembourg - Dynamic Programming for Finance - 2019 (At campus)• By University of Luxembourg - Inter-Cultural Competencies - 2019 (At campus) -
Phd InternNokia Bell Labs Feb 2021 - Jun 2021Stuttgart, Baden-Württemberg, Germany• Developing 3GPP-R16 compliant mobility management algorithms in partnership with Nokia’s business unit for 5G networks using Deep Reinforcement Learning (BCQ, DQN, DDPG), improving the overall handover KPIs for about 20%; see the project’s non-confidential GitHub repository.• We used generative AI (variational auto-encoders) to augment synthetic experience replay data and train RL on this data offline - reducing the online training time of the algorithm by 30%. -
Graduate Teaching AssistantKing'S College London Sep 2018 - Jan 2019London, United KingdomAgent and Muliagent Systems -
Graduate Teaching AssistantKing'S College London Feb 2018 - Aug 2018London, United KingdomTeaching assistance of the large group tutorials for the course big data technologies.Technologies taught:-Map Reduce in Hadoop,-MongoDB-Apache Spark-Spark SQL-Hive -
Laboratory Teaching AssistantKing'S College London Jan 2018 - Jun 2018London, United KingdomLab Teaching Assistant of the course "Programming Languages Design and Paradigms":- Language grammar design- Functional Programming Using Haskell -
Product ManagerAssamrof (آسام روف) Dec 2016 - Dec 2017London, England, United Kingdom• Identifying market gaps, and collaborating with C-levels to devise product strategies with the aim of addressing the gap• Assessing the technical and standard-wise feasibility of our product roadmap while respecting the budget• Constant communications with the sales team to understand the market’s feedback on product updates• Co-leading a team of 5 sales engineers to update their sales strategies given product updates, improving conversion rate by 15%• Organizing technical events/ symposia to raise awareness of our key clients about the new product features• Automating our product design by initiating the project of programming our product design software, contributing to 40% cost-effectiveness of the Elastomeric bearing pads while constrained by the requirements of EN-1337 standard• Improving the product profitability by 35% while maintaining the market share over the course of 4 years. -
Technical Team Manager / Board MemberAssamrof (آسام روف) Aug 2014 - Dec 2016Esfahan, Iran- Technical product design- Programming the company's product design software- Tailoring (an unconventional) product design for the special needs of the client/project- Technical representative of the company during the sales meetings- Research management of the company's structural health monitoring project -
Technical SpecialistAssamrof (آسام روف) Aug 2012 - Aug 2014Esfahan, Iran
Arsham Mostaani Skills
Frequently Asked Questions about Arsham Mostaani
What company does Arsham Mostaani work for?
Arsham Mostaani works for Losch Luxembourg
What is Arsham Mostaani's role at the current company?
Arsham Mostaani's current role is Senior Back End Developer @ Losch Luxembourg | Algorithm design, AI.
What is Arsham Mostaani's email address?
Arsham Mostaani's email address is arsham.mostaani@uni.lu
What are some of Arsham Mostaani's interests?
Arsham Mostaani has interest in Hiking And Mountain Climbing, Financial Training, Writing, Economic Empowerment, Politics, Education, Environment, Photography, Poverty Alleviation, Animal Welfare.
What skills is Arsham Mostaani known for?
Arsham Mostaani has skills like Digital Signal Processing, Matlab, Modal Analysis, Compressive Sensing, Wireless Sensor Networks, Structural Health Monitoring, Channel Coding, Linear Algebra, Microsoft Office, Programming, Simulations, Research.
Who are Arsham Mostaani's colleagues?
Arsham Mostaani's colleagues are Alisa Pjanic, Jordan Turco, Reece Flavell, Roger-Lynn Stephens, Eiriz Michel, José Loureiro, André Nleng.
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