Meet Our Researchers
Meet Moogsoft's AIOps researchers, responsible for authoring 50+ patents for original algorithms, such as Vertex Entropy, Tempus, Cookbook and Probable Root Cause.
Meet Our Researchers
Chief Science Officer, MoogsoftPublications LinkedIn
Rob Harper is the Chief Science Officer and VP of Engineering – Advanced Algorithms at Moogsoft. Rob joined Moogsoft as the founding member of its engineering team in 2012 and led that team until late 2016 when he took up his current role. Rob graduated from London’s Imperial College with a BEng in Mechanical Engineering and a PhD in Computational Fluid Dynamics. After a brief period as a fluid dynamics consultant, researching the use of numerical techniques for investigating the effects of gas explosions, Rob made the transition to Network and Operations Management. He joined Riversoft in the late 1990s architecting the Riversoft/NMOS product, which later became the core component of IBM Tivoli Network Manager. Throughout his career, Rob has had a variety of senior development and managerial roles in technology start-ups. Immediately prior to joining Moogsoft, Rob was the founder and CTO of Jabbit, an Internet Information Services provider.
CEO, MoogsoftPublications LinkedIn
Phil Tee is Chairman and CEO of Moogsoft. He made an indelible mark in information technology by co-founding Omnibus Transport Technologies Limited (OTT) in 1993 to build and market Netcool/Omnibus. OTT was folded into Micromuse (Nasdaq: MUSE) in 1994 and Netcool/Omnibus became the company’s flagship product. This technology continues to be the in the core of the management support systems in the world’s largest networks in the form of IBM Tivoli Netcool. In 1997, Phil founded Riversoft (LSE: RSFT) to solve the problem of root cause analysis; the technology acquired by Micromuse and the software subsequently became part of the IBM Tivoli Netcool suite. Phil then went on to lead Njini, producing a revolutionary and early data and storage software layer with data de-duplication and information lifecycle management (ILM) capabilities. The company’s technology was acquired by Riverbed (Nasdaq:RVBD). In 2008, Phil founded Promethyan to gestate multiple startups concurrently. Two Promethyan children of note include Prelert and RiverMuse.
Professor of Complex Systems, University of SussexPublications
Luc Berthouze trained in applied mathematics in the French Grandes Ecoles system and received his PhD from the University of Evry Val d’Essonne in 1996. He then joined the Electrotechnical Laboratory (ETL) in Japan, as a research scientist. In 2000, he became a senior research scientist with the Neuroscience Research Institute of Japan’s National Institute of Advanced Industrial Science and Technology, better known as AIST. After a sabbatical in the Department of Physiology at University College London (UK) in 2006, he joined the faculty of the Department of Informatics of University of Sussex (UK), where he is now a Professor of Complex Systems. He holds an honorary appointment at the University College London’s Great Ormond Street Hospital (GOSH) Institute of Child Health in London.
Lecturer, Queen Mary University of London
Dr. Clegg is a lecturer at Queen Mary University of London and an Honorary Senior Research Fellow at University College London. His PhD is in Mathematics and Statistics from the University of York and the title of his dissertation is “The Statistics of Dynamic Networks.” His research interests are centered on the study of networks but in a very broad sense, having studied, for example, road transport networks, computer networks, social networks, authorship networks amongst others.
When not working, he is an amateur Scuba instructor and has dived many famous sites including the Galapagos Islands, the Komodo National Park in Indonesia, the Namena Marine Reserve in Fiji, and the German High Seas Fleet wrecks of Scapa Flow in the Orkney Islands.
Associate Professor of Engineering Science, Oxford UniversityPublications
Dr. Coon has worked in the field of communications and networks for 20 years. He spent a decade in industrial research labs (HP Labs and Toshiba Research Europe Ltd) before moving back to academia full time. He is currently an Associate Professor in the Department of Engineering Science at Oxford University and the Emmott Fellow in Engineering at Oriel College where he teaches various aspects of mathematics, electricity and electronics, control, semiconductor physics, and communication theory and system design.
Senior Lecturer, University of SussexPublications
Dr. Parisis is a Senior Lecturer in Computer Science at the University of Sussex. He has a BSc in Computer Science, MSc in Information Systems and PhD in Computer Science from the Department of Informatics, Athens University of Economics and Business. Before joining the University of Sussex, he was a Research Fellow at the Computer Laboratory, University of Cambridge, where he did research on information-centric networks and on the integration of RaptorQ codes with data centre transport protocols.
Research Scientist, Moogsoft
Shehu is a researcher in Moogsoft’s science department in London. He specializes in applications of Natural Language Processing to fault localisation and incident classification on IT infrastructures.
He obtained a Ph.D. in Experimental Particle Physics at the University of Sussex and an MSci in Physics at University College London. During his doctoral research, he worked on the ATLAS experiment, which is one of the largest experiments on the Large Hadron Collider at the European Organization for Nuclear Research (CERN) in Geneva. His research was included in peer-reviewed physics journals and a CERN archived thesis.
As a post-doctoral researcher, he explored applications of particle physics research techniques to big data analysis, effectively bridging the gap between physical and data science. He developed a streaming data analytics platform as part of an entrepreneurial collaboration with the University of Sussex.
His research motivations include the latest language modelling techniques (BERT, GPT-2) and transfer learning (ULMFiT).
Outside of work, he is a competitive national-level powerlifter. He’s also passionate about creative writing and has written several fantasy novels.
Research Scientist, Moogsoft
Daniel Singh is a researcher in Moogsoft’s science department in London. He first joined Moogsoft as part of his industrial placement from 2017 to 2018 and soon returned after graduation in 2019, as a permanent research scientist. His current focus is on the use of machine learning for detecting anomalous regions of interest in time series data.
He obtained his degree in computer science from the University of Bath where he undertook various research projects, most notably within the field of computer vision. He achieved chartership from the British Computer Society (BCS) in 2019 for his use of machine learning in face hallucination and image super resolution research projects.
His current research interests are in data science, algorithms and machine learning as well as using data science to make a social impact, particularly in areas like AI for conservation.
Shahriar Etemadi Tajbakhsh
Knowledge Transfer Partnership Associate, MoogsoftPublications
Shahriar Etemadi Tajbakhsh received a B.Sc in Electrical Engineering from Shahid Bahonar University of Kerman in Iran, and an M.Sc in Information Technology from Sharif University of Technology in Iran. He obtained a PhD in Engineering from the Australian National University. His PhD thesis was on network coded cooperative data exchange. He continued his research in the area of communication networks as a postdoctoral researcher in University of New South Wales and University of Oxford. He joined Moogsoft as a Knowledge Transfer Partnership Associate in August 2018 to work on distributed computation of graph metrics, in collaboration with the University of Sussex. He is interested in a wide range of areas in applied mathematics and engineering, mostly related to network sciences. In his spare time, he plays the piano and performs in a choir as a vocalist.
University of OxfordPublications
Arta Cika is a PhD candidate in the Department of Engineering Science, University of Oxford. Her research focuses on modelling and analyzing mobile ad hoc networks, self-organized networks without a fixed infrastructure characterized by a random and highly dynamic topology. Cika received a double M.Sc. Degree (magna cum laude) in Communications and Computer Engineering from the Polytechnic of Turin and Telecom ParisTech in 2015. Before starting her PhD, she worked for a telecommunication start-up in France. Cika is the winner of the IRCN Scholarship awarded by the University of Tokyo, winner of the 2019 TechWomen100 award, and Ideas 2 Impact fellow at Saïd Business School. In 2019, she was selected to participate in the Complex Systems Summer School (CSSS) at the Santa Fe Institute in New Mexico. Cika has lived in seven cities in four countries and speaks four languages. Aside from her academic accomplishments, Cika is deeply involved with promoting women in STEM. She is a committee member of the Women in Engineering Society at the University of Oxford and part of the RisingWISE (Women In Science and Engineering) Program.