{"id":36,"date":"2023-11-17T11:29:12","date_gmt":"2023-11-17T11:29:12","guid":{"rendered":"https:\/\/gpt-jordan.com\/?page_id=36"},"modified":"2023-11-17T11:29:12","modified_gmt":"2023-11-17T11:29:12","slug":"team","status":"publish","type":"page","link":"https:\/\/idtjo.hosting.acm.org\/wordpress\/team\/","title":{"rendered":"TEAM"},"content":{"rendered":"\n

Amjad M. Daoud<\/strong><\/a>, Ph.<\/a>D.(Virginia Tech<\/a><\/strong>) : Lead Researcher<\/strong><\/h2>\n\n\n\n
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Shaping GPT Jordan\u2019s Global Academic Relations through Research<\/strong><\/h1>\n\n\n\n

GPT Jordan, a leading innovator in technology, strives to discover new scientific frontiers with practical implications for their future projects. This challenging goal requires building strong ties with academic circles in Jordanian universities and across the globe.<\/p>\n\n\n\n

Dr. Amjad Daoud, Executive Director and Chief Scientist at GPT Jordan, is the driving force behind this vital initiative. Dr. Daoud\u2019s remarkable experience as a research engineer and program manager in the Silicon Valley R&D, gives him a unique edge to lead this effort. In an interview, he reveals the importance of exploring unknown research domains and how these collaborations aim to boost innovation within the company.<\/p>\n\n\n\n

\u201cIn my role, I have the duty of managing core technologies that are relevant to our capabilities, sensors and systems and have potential applications in our upcoming products and solutions. When I established GPT Jordan in May 2023, our first goal was to perform a comprehensive mapping of AI core technologies. This involved gaining a deep understanding of the technological paths that our company and our rivals were pursuing for the years ahead.<\/p>\n\n\n\n

Daoud highlights the importance of keeping these valuable ties with the academic community through the arrangement of academic summits and events. These events offer a platform for GPT Jordan\u2019 members and scholars to engage in discussions on diverse studies and research areas. \u201cWe hold an annual meeting to jointly assess the direction of various technological developments and their potential contributions to our future projects. Moreover, every two months, we visit and conduct a seminar at some of Jordan\u2019s top universities, including University of Jordan in Amman, Jordan University Science and Technolgy and Yarmouk University in Irbid, Hashemite University, and Pricess Sumaya University for Technolgy. Last year we started to engage with the local professional ACM Digital Transformation chapter, as well.\u201d<\/p>\n\n\n\n

\u201cAt the same time, we carried out both internal and external analysis, as well as surveys, to examine all existing and ready-made technologies, whether close in Jordan and our global research centers or far away. It\u2019s crucial for us to fully engage with emerging capabilities, features, and solutions, knowing exactly when and how to interact more closely with them. As part of our vision to maintain technological excellence in the market, we put great emphasis on creating and sustaining strong relationships with researchers, scholars, and engineers in various academic institutions, both in Jordan and around the world. Once we determine and define our areas of interest, I personally contact leading researchers and scientists, sharing a list of technological topics. I ask them for their input on any relevant studies they may have done, which could offer useful insights or guidance for improving our solutions.\u201d<\/p>\n\n\n\n

GPT Jordan\u2019 engagement with the academic community goes beyond the borders of Jordan, as Daoud points out. \u201cGPT Jordan is a member of MIT ILP (Industrial Liaison Program) within the MIT (Massachusetts Institute of Technology) ecosystem. Through this collaboration, we create numerous partnerships and undertake joint projects with our American counterparts and vice versa. In the past year, A group of GPT Jordan leading technologies talents conducted a professional visit to their laboratories and participated in enrichment workshops covering a wide range of topics, including quantum technology, synthetic biology, artificial intelligence advanced materials, and more.\u201d Also, GPT Jordan\u2019 central R&D with the divisions\u2019 CTOs conducted a visit to Virginia Tech labs in the United States, which, in turn, enabled return visits by VT scholars to Jordan. \u201cThey came to observe the operations within GPT Jordan\u2019 diverse divisions, and these visits have resulted in collaborative research projects,\u201d Daoud says. He stresses that many academic institutions throughout Europe have formed strong connections with GPT Jordan\u2019 scientists and engineers.<\/p>\n\n\n\n

GPT Jordan gains valuable insights from summits and seminars across various fields, including algorithmics, artificial intelligence (AI), synthetic biology, quantum technologies and materials. Our members, scientists, and engineers are encouraged to publish their results and conclusions and, if relevant, to obtain patents. We ensure they are properly recognized and rewarded for their breakthroughs. Our members actively share their knowledge worldwide, participating in global conventions, meetings, exhibitions, and wherever they can make a significant contribution, voluntarily. We aim to position ourselves as a company at the cutting edge of technological innovation, constantly embracing what\u2019s new and fascinating. Through our innovation-friendly approach, GPT Jordan significantly contributes to the research and hi-tech sectors, fostering a continuous exchange of information.<\/p>\n\n\n\n

Research<\/strong><\/h1>\n\n\n\n
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  1. AI Attention Language Model for Medical Diagnosis<\/a>; October 2023; First International AI and Future Technology Summit, La Royal, Jordan<\/a><\/li>\n\n\n\n
  2. Perfect Bloom Structures (PBS)<\/a>; July 2022<\/li>\n\n\n\n
  3. Minimal Perfect Hash Functions Review<\/a>; July 2022<\/li>\n\n\n\n
  4. NLP Resources<\/a><\/li>\n\n\n\n
  5. Hashing for Efficient Attention<\/a>; January 2021<\/li>\n\n\n\n
  6. <\/a>Perfect Hash Functions for Large Dictionaries<\/a>; December 2020<\/li>\n\n\n\n
  7. Perfect Bloom Structures (PBS)<\/a>; September 2020<\/li>\n\n\n\n
  8. <\/a>Optimal Off-Grid Hybrid Renewable Energy System for Residential Applications Using Particle Swarm Optimization<\/a>; July 2019<\/li>\n\n\n\n
  9. Analyzing and Evaluating Current Computer Networks Simulation Models<\/a>; Chapter<\/a>; February 2012<\/li>\n\n\n\n
  10. Practical Perfect Hashing for very large Key-Value Databases<\/a>; January 2012; CICEM2012<\/li>\n\n\n\n
  11. Performance Investigations of Some Active Queue Management Techniques Using Simulation<\/a>; January 2012; International Journal of New Computer Architectures and their Applications<\/a><\/li>\n\n\n\n
  12. Augmented Order Preserving Minimal Perfect Hash Functions for Very Large Digital Libraries<\/a>; July 2011; 15th WSEAS International Conference on Communications<\/li>\n\n\n\n
  13. Performance Analysis of the Proposed Adaptive Gentle Random Early Detection Method under NonCongestion and Congestion Situations<\/a>; January 2011; Digital Enterprise and Information Systems – International Conference, DEIS 2011, London, UK, July 20 – 22, 2011. Proceedings<\/li>\n\n\n\n
  14. Efficient Non-Quadratic Quick Sort (NQQuickSort)<\/a>; January 2011; Digital Enterprise and Information Systems – International Conference, DEIS 2011, London, UK, July 20 – 22, 2011. Proceedings; Communications in Computer and Information Science<\/li>\n\n\n\n
  15. Effective Web and Desktop Retrieval with Enhanced Semantic Spaces<\/a>; December 2010;Advances in Software Engineering – International Conference, ASEA 2010, Held as Part of the Future Generation Information Technology Conference, FGIT 2010, Jeju Island, Korea, December 13-15, 2010. Proceedings; Communications in Computer and Information Science<\/li>\n\n\n\n
  16. Editorial<\/a>; January 2010; International Journal of ACM Jordan<\/li>\n\n\n\n
  17. Morphological Analysis and Diacritical Arabic Text Compression<\/a>; January 2010; International Journal of ACM Jordan<\/li>\n\n\n\n
  18. Perfect hash functions for large dictionaries<\/a>; November 2007; Proceedings of the First Workshop on CyberInfrastructure: Information Management in eScience, CIMS 2007, Sixteenth ACM Conference on Information and Knowledge Management, CIKM 2007, Lisbon, Portugal, November 9, 2007<\/li>\n\n\n\n
  19. Effective ranked conceptual retrieval<\/a>; November 2007; Proceedings of the First Workshop on CyberInfrastructure: Information Management in eScience, CIMS 2007, Sixteenth ACM Conference on Information and Knowledge Management, CIKM 2007, Lisbon, Portugal, November 9, 2007<\/li>\n\n\n\n
  20. e-Saf Moodle LMS in Saudi Higher Education: Implementation and Experiences, The Fourth Annual Conference of Learning International Networks Consortium (LINC), 2007<\/a>; October 2007<\/li>\n\n\n\n
  21. Dynamic Inverted Lists for Searching the WWW<\/a>; January 2005; iiWAS’2005 – The Seventh International Conference on Information Integration and Web-based Applications Services, 19-21 September 2005, Kuala Lumpur, Malaysia<\/li>\n\n\n\n
  22. Perfect Hash Functions for Large Web Repositories<\/a>; January 2005; iiWAS’2005 – The Seventh International Conference on Information Integration and Web-based Applications Services, 19-21 September 2005, Kuala Lumpur, Malaysia<\/li>\n\n\n\n
  23. ORACLE PERFORMANCE TUNING WITH OMLET 4<\/a>; Book<\/a>; January 2004<\/li>\n\n\n\n
  24. Integrating IR and RDBMS using cooperative indexing<\/a>; October 2002<\/li>\n\n\n\n
  25. Integrating IR and RDBMS Using Cooperative Indexing<\/a>; January 1995; SIGIR’95, Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Seattle, Washington, USA, July 9-13, 1995 (Special Issue of the SIGIR Forum)<\/li>\n\n\n\n
  26. Development of a modern OPAC: from REVTOLC to MARIAN<\/a>; July 1993; Proceedings of the 16th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval. Pittsburgh, PA, USA, June 27 – July 1, 1993<\/li>\n\n\n\n
  27. Practical Minimal Perfect Hash Functions for Large Databases<\/a>; January 1992; Communications of the ACM<\/li>\n\n\n\n
  28. TR-91-01<\/a>; July 1991<\/li>\n\n\n\n
  29. Order-Preserving Minimal Perfect Hash Functions and Information Retrieval<\/a>; January 1991<\/li>\n\n\n\n
  30. TR-90-41<\/a>; July 1990<\/li>\n\n\n\n
  31. Efficient data structures for information retrieval systems<\/a>; January 1990<\/li>\n\n\n\n
  32. Order Preserving Minimal Perfect Hash Functions and Information Retrieval<\/a>; January 1990; SIGIR’90, 13th International Conference on Research and Development in Information Retrieval, Brussels, Belgium, 5-7 September 1990, Proceedings; ACM Transactions on Information Systems<\/li>\n\n\n\n
  33. Performance of Some CFD Codes on the Alliant FX\/8<\/a>; January 1988<\/li>\n<\/ol>\n\n\n\n

    <\/p>\n\n\n\n

    Expertise<\/strong><\/h1>\n<\/div>\n\n\n\n
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    1. Used in the Disco DB project; a lightweight, open-source framework for distributed computing based on the MapReduce paradigm. Used to handle massive amounts of data at Nokia Research<\/strong><\/li>\n\n\n\n
    2. Used in RAMPS (can preprocess the human genome in mere minutes) to align billions of short sequences of DNA (called reads), to a long reference genome many times faster than SOAP2 or Bowtie, and about 1000 times faster than GPU implementations such as SOAP3.<\/strong><\/li>\n\n\n\n
    3. Parts of the algorithm that was developed and published from 1989-1994 appeared in the 2009 Microsoft patent Perfect Multidimensional Spatial Hashing, Hugues H. Hoppe et al<\/a> as Exemplary Hashing clause [0028], and claims 1,5,6,7,11,16.<\/strong><\/li>\n\n\n\n
    4. Used in Moses Statistical Machine Translation System http:\/\/www.statmt.org\/moses\/<\/a>; see (Machine Translation course http:\/\/www.cicem.org\/machine-translation\/<\/a>)<\/strong><\/li>\n\n\n\n
    5. Used in Google Translate and voice search (Speech recognition) to build huge randomized language models (http:\/\/www.google.com\/patents\/US8359201<\/a> Publication date: Jan 22, 2013).<\/strong><\/li>\n\n\n\n
    6. Fast and Scalable Packet Classi\ufb01cation: The Perfect Hash Function performs exactly two external memory accesses to classify a packet. Using FPGA and one commodity SRAM chip, a throughput of 150 million packets per second and throughput of 100 Gbps for the shortest packets. Scales with faster SRAM chips.<\/strong><\/li>\n\n\n\n
    7. Used in linkless octrees to encode the storage locations of subdivided nodes using compact multi-level perfect hashing; combining coarse-to-fine hierarchical representation and optimal random accessibility.<\/strong><\/li>\n\n\n\n
    8. The algorithm is used to compute Google page rank <\/strong>Google Page Rank in C#<\/a>;<\/strong><\/li>\n\n\n\n
    9. Fuzzy Tolerant Search with DWAGs and MPHF<\/a><\/li>\n\n\n\n
    10. CMPH Library cmph.sourceforge.com<\/a><\/li>\n\n\n\n
    11. MPHF in C#<\/a><\/li>\n\n\n\n
    12. http:\/\/burtleburtle.net\/bob\/hash\/perfect.html<\/a> (splits keys into buckets by a first h1, sorts buckets by size, maps them in decreasing order so table[hash1(key)^hash2(key)] causes no collision).<\/strong><\/li>\n<\/ol>\n\n\n\n

      Applications Codes: <\/h1>\n\n\n\n

      1. C\/C++ Code<\/strong><\/h2>\n\n\n\n