IBM Research Horizons | April 20-22, 2021     


IBM Research Horizons | April 20-22, 2021 - Speakers


Aleksandra (Saška) Mojsilović, Moderator
IBM Fellow, AI Science, IBM Research

Dr. Aleksandra (Saška) Mojsilović is an IBM Fellow and scientist at the IBM T. J. Watson Research Center where she currently leads the Foundations of Trusted AI organization. Saška is a founder and co-director of the IBM Social Good Fellowship program. Saška's research interests include multi-dimensional signal processing, predictive modeling, machine learning and pattern recognition. She has applied her skills to problems in computer vision, healthcare, multimedia, finance, HR, public affairs and economics. Saška is one of the pioneers of business analytics at IBM and in the industry; throughout her career she championed innovative uses of analytics for business decision support. Saška is the author of over 100 publications and holds 16 patents. Her work has been recognized with several awards including IEEE Signal Processing Society Young Author Best Paper Award, INFORMS Wagner Prize, IBM Extraordinary Accomplishment Award, IBM Gerstner Prize, and Best Paper awards at ECCV and SOLI conferences. She is an IEEE Fellow and a member of INFORMS and SWE.


Alessandro Curioni, Moderator
IBM Fellow, AI Science, IBM Research

Dr. Alessandro Curioni is an IBM Fellow, Vice President of IBM Europe and Africa and Director of the IBM Research Lab in Zurich, Switzerland. On top of being responsible for IBM corporate research in Europe, he leads global research in Security and the Future of Computing.

Dr. Curioni is an internationally recognized leader in the area of high-performance computing and computational science, where his innovative thinking and seminal contributions have helped solve some of the most complex scientific and technological problems in healthcare, aerospace, consumer goods and electronics. He was a member of the winning team recognized with the prestigious Gordon Bell Prize in 2013 and 2015. His research interests now include AI, Big Data and novel compute paradigms, such as neuromorphic and quantum computing.

Dr. Curioni received his undergraduate degree in Theoretical Chemistry and his PhD from Scuola Normale Superiore, Pisa, Italy. He started at IBM Research – Zurich as a PhD student in 1993 before officially joining as a research staff member in 1998, where he had several research and manager roles, including being the founding manager of the Cognitive Computing and Computational Sciences department.  He is a member of the Swiss Academy of Technical Sciences.


Alfio Gliozzo
Principal Research Staff Member and Manager, Knowledge Induction, IBM Research 

Alfio Gliozzo is a Principal Research Staff Member and Manager at IBM T.J. Watson Research. He has over 20 years of experience in the field of Artificial Intelligence. He is a global leader for the area of Knowledge in IBM Research AI. His research focuses on automatic induction of knowledge graphs from text and their exploitation for enterprise search solutions. He published approximately 100 scientific publications, including books, papers, and patents. He was part of the Deep QA team that developed Watson, the system that defeated the Jeopardy! grand masters.


Anna Topol, Moderator
CTO in IBM Research responsible for Research Strategic Alliances, IBM Distinguished Engineer, IBM Master Inventor with 90 patents, and a leader in the IBM Academy of Technology

Dr. Topol is recognized globally for her ability to create and deliver winning assets and solutions for various industries. She is also a prolific technical author (>100 technical publications, three book chapters, and over 5100 citations). In 2015, she received the “Most Frequently Cited Paper Award between 2001-2014” by Symposium on Very Large Scale Integration (VLSI) Technology. Dr. Topol possesses a wealth of experience stemming from 19 years in IBM Research and IBM Business Alliance teams, working with IBM’s clients, business partners, software vendors, and universities. Her previous positions include Director of Operations of IBM Research THINK Lab and Industry CTO in IBM Systems Group, responsible for technical enablement around Cloud, Analytics, Security and Technical Computing. Dr. Topol held lead roles in strategic industry initiatives, intellectual property management, R&D and fundamental technology development for CMOS. Dr. Topol is a Fellow of the American Association for the Advancement of Science.


Andrea Greggo, Moderator
IBM Quantum & Cloud Research Offering Manager, IBM CHQ, IP

Andrea Greggo is an offering manager in the Research organization with responsibility for Hybrid Cloud and Quantum Computing offerings. Andrea received her Bachelors in Computer Science from Mt St Mary College and her Masters in IT and an MBA from Rensselaer Polytech.


Ankur Agrawal
Research Scientist, Accelerator Architectures, IBM Research

I received my bachelors' degree in Electrical Engineering from Indian Institute of Technology (IIT) Madras, India, in 2004, and MS and PhD degrees from Harvard University in 2006 and 2010 respectively. In fall 2005, I was a co-op intern at Intel Massachusetts, at Hudson, MA. In the summers of 2008 and 2009, I interned at IBM TJ Watson Research Center in Yorktown Heights, NY, where I designed equalizers for high speed (20 Gb/s) electrical links.

Since 2010, I have been at IBM TJ Watson Research Center, initially designing circuits for high speed serial I/O (phase rotators, equalizers, clock and data recovery circuits), and now designing accelerators for machine learning applications. I focus on the design and optimization of arithmetic logic (FPUs), numerical precision requirements for ML workloads, compression techniques for distributed computing, as well as micro-architectures for ML accelerators.


Aya Soffer, Moderator
VP, AI Technologies

Dr. Aya Soffer is Vice President of AI Tech in the IBM Research AI organization. In this role, Dr. Soffer directs the worldwide research strategy and works with IBM’s product groups and customers to drive Research innovation into the market. Her focus is on creating world-class foundational AI technologies for businesses while advancing the state-of-art AI capabilities for understanding unstructured data including image, video, speech, text and multi-modal data. This includes extracting knowledge from data, applying reasoning, and interacting with data via dialog and natural language queries. 
In her 15 years at IBM, Dr. Soffer has led several strategic initiatives that have resulted in in both breakthrough technology and IBM products and solutions. Dr. Soffer received her MS and PhD degrees in computer science from the University of Maryland at College Park in 1992 and 1995, respectively. Before joining IBM in 1999, she was a research scientist at Goddard space flight center, where she worked on digital libraries for earth science data. Dr. Soffer has published over 40 papers in refereed journals and conferences and filed over 15 patents.

IBM Researcher Page:


Carlos Costa
Research Staff Member, Hybrid Cloud - Cloud HPC, IBM Research

Dr. Costa is a Research Staff Member at IBM T. J. Watson Research Center, where he is part of the Data-Centric Solutions (DCS) department. His research is mainly focused on system software, programming models and middleware for next-generation high-performance analytics systems, working at the intersection of traditional HPC and emerging large-scale big data analytics workloads. His work also includes novel methods for software/hardware cooperation to improve system resiliency.

He has been involved in multiple projects in the areas of HPC and analytics, including the BlueGene/Q system, the Active Memory Cube (AMC) architecture for in-memory processing, and DoE ORNL’s Summit and LLNL’s Sierra systems. Currently, he is leading efforts in the design and development of a converged software platform for data analytics, bridging the gap between emerging paradigms for distributed computing, such as Cloud computing, and traditional HPC platforms. He has made contributions showing how big data analytics frameworks like Apache Spark can be optimized in an HPC platform, and how advanced features and HPC technology can be used to scale and accelerate workflows in the areas of machine learning and genomics. He has been involved in multiple projects with clients and partners.

He received his Ph.D and M.Sc. degrees in computer engineering from University of Sao Paulo (Brazil) and his B.Sc. degree in computational physics from University of Brasilia (Brazil).


Chieko Asakawa
IBM Fellow, IBM Research

Chieko Asakawa is an IBM Fellow at T. J. Watson Research Center and IBM Distinguished Service Professor at Carnegie Mellon University. She has been instrumental in furthering accessibility research and development for three decades. By challenging traditional thinking on how the visually impaired use technology, she has explored solutions to improve Web accessibility and usability for the visually impaired and others with special needs. A series of pioneering technologies generated under Chieko's leadership significantly contributed to advancing Web accessibility, including groundbreaking work in digital Braille and voice browser. 

Today, Chieko is focusing on advancing cognitive assistant research to help the blind regain information by augmenting missing or weakened abilities in the real world by the power of AI. Since 2017, she has been leading a research project to realize a practical indoor navigation system for the visually impaired pedestrians, and deployed several services including Pittsburgh airport and a shopping mall in Japan. 

She is now working for an AI suitcase that navigates blind users even in a crowded or changing environment and helps them to enjoy urban environments. 

IBM Researcher Page:


Cindy Goldberg, Moderator
Program Director, AI Hardware Research, IBM Research  

Cindy Goldberg is the Program Director of the IBM Research AI Hardware Center. The AI Hardware Center, headquartered in Albany, NY, is a global collaboration network between IBM, industry partners, academic partners, and the State of New York, launched in February 2019 as part of a $2b investment by IBM and $300m investment by New York State to create and mature new AI hardware technologies for cloud and edge applications.    The AI Hardware Center is also home for a first of its kind testbed for developing AI applications; with an ensemble of tools for simulation, emulation, and benchmarking against tailored infrastructure topology.

Prior to joining IBM, Cindy was Director of Engineering at STMicroelectronics and previously at Freescale Semiconductor, where she built and led global teams developing logic technologies from 0.25um to 7nm nodes, spanning applications ranging from high performance processors to low power mobile chips.

She holds a Ph.D. in Physics from the University At Albany, has authored more than 50 articles, and mentored scores of young scientists.


Darrell Reimer
Distinguished Engineer, IBM Research

Darrell Reimer is a Distinguished Engineer in the IBM Research AI group. Over 20+ years at IBM Darrell has driven innovation in technology, working across research, product delivery and client engagements. Currently Darrell is a Distinguished Engineer in IBM's AI Engineering Research division focusing on what it takes to bring AI into business critical systems while minimizing any risk involved.


Eli Dow
STSM Industry Offering Mgmt & Strategy. Master Inventor. Homomorphic Encryption Architect & Principal, IBM Systems

Eli is a researcher, author, and inventor, currently leading IBM’s research efforts for the development of a comprehensive environmental monitoring and management platform for the Jefferson Project at Lake George, NY. The Jefferson Project is a partnership between IBM, Rensselaer Polytechnic Institute, and The Fund for Lake George. The Jefferson Project partners are investing several years and several million dollars into solutions that not only improve the health of the lake, but as the Fund stated in its announcement of the project, “guide investment decisions … inform and, indeed, empower the constituency committed to protecting Lake George.” The project has numerous technical challenges including, but not limited to: utilizing existing data, along with new data to develop a number of complex physical and biological models of the lake and surrounding environment.. In parallel, we are deploying a complement of sensors in and around the lake to monitor the physical, chemical, and biological characteristics as was done in similar projects by IBM Research at Galway Bay, Ireland (SmartBay Galway) and the Hudson River in New York (The Beacon Institute for Rivers and Estuaries’ River and Estuary Observatory Network). Sensors will drive both a circulation model that describes how water moves within the lake, as well as driving a coupled instance of IBM's Deep Thunder weather modeling, and additional hydrological models, to help us understand the impact of external factors on the lake (e.g., precipitation and roadway salting in the winter). Further efforts will explore incorporating a coupled food web model that explores the impacts upon biological systems at work within the lake as a result of these external factors. The combined sensors and software infrastructure work in concert to form a “cyberphysical system” – a computational and visualization platform to collect data from sensors and to support advanced modeling approaches for Lake George.


George Tulevski, Moderator
Research Staff Member, Program Manager of the IBM Research Frontiers Institute

Dr. George Tulevski is currently a Research Staff Member and Program Manager of the IBM Research Frontiers Institute.  Prior to his current role, he led research in the area of nanoscale materials and devices that resulted in > 7,000 citations in top scientific journals, > 40 patents and numerous media mentions.  Dr. Tulevski is also an Adjunct Professor in the Electrical Engineering department at Columbia University.


Haig A. Peter, Moderator
Manager - IBM Client Center Think Lab - Europe

Haig A. Peter is Manager of the IBM Client Center Think Lab. Co-located on the campus of the internationally recognized IBM Research Center in Zurich, Switzerland, the Think Lab is the door to IBM Research for IBM’s clients and business partners. It’s where they can explore what’s next in Hybrid Cloud, AI, Quantum, and Science. It opens a world of insights from world-class researchers, industry and trend experts and inspires new pathways for innovation. Prior to his current role, Haig was an Executive Briefing Consultant at the IBM Think Lab, focusing on clients from the retail, consumer products, healthcare, pharmaceutical, travel & transportation and media & entertainment industries. In addition, he served as an AI ambassador to IBM’s key clients. Haig brings with him over 25 years of sales experience in technology, retail, and distribution. He joined IBM in 2000 and holds a Sound Engineering degree.

Prior to that, Haig was working as a Client Executive responsible for a Territory of Large Enterprises, Strategic Consulting, including business plan & sales strategy development.

Haig also served as the Major Markets sales segment leader for the Centre for Learning and Development. In this role he was responsible for driving consultative development of the sales executives, leaders and sellers as part of the global Sales Eminence transformation programme. Haig has delivered initiative programmes utilising external subject matter experts from companies including London Business School in order to drive higher value in the skill development initiatives aligned to the strategic priorities of the corporation.

Haig also served as senior sales specialist for the Systems Technology Group (STG), consistently delivering strong results and launching significant initiatives for the growth of STG. Previously based in Geneva, Haig served as sales specialist for STG where he was responsible for large accounts, Integrated Accounts and the driving the channel business.


Heiko Ludwig
Principal Research Staff Member, Senior Manager AI Platforms, IBM Research

Heiko Ludwig is a Principal Research Staff Member and Senior Manager with IBM’s Almaden Research Center in San Jose, CA. Leading the AI Platforms research group, Heiko is currently working on topics related to computational platforms for AI, more specifically for machine learning, from Cloud to IOT. This includes federated machine learning and inference along with machine learning privacy and security. The results of this work contribute to various IBM lines of business. Heiko is an ACM Distinguished Engineer and published more than 100 refereed articles, conference papers, and book chapters as well as technical reports. He is a managing editor of the International Journal of Cooperative Information Systems. He is an associate editor of two other journals, and served on about 150 program committees of conferences and workshops in the field, co-organizing workshops and serving as PC Co-Chair and General Co-Chair on a number of conferences. Prior to the Alamaden Research Center, Heiko held different positions at IBM in the T.J. Watson Research Center, the Zurich Research Laboratory, and IBM’s South American Delivery Centers in Argentina and Brazil. He holds a Master's (Diplom) degree and a PhD in information systems (Wirtschaftsinformatik) from Otto-Friedrich University Bamberg, Germany.


Hiro Takagi
STSM, Senior Manager, Accessibility and Healthcare, IBM Research

Hiro(Hironobu) Takagi is the senior manager of the Accessibility & Healthcare research team at IBM Research – Tokyo. He joined IBM Research in 1999 and received his Ph.D. in computer science from the University of Tokyo in 2000. He has been investigating Web-accessibility, crowd-sourcing, elderly-care, and real-world accessibility technologies. He is currently leading the indoor navigation project and the collaboration with Carnegie Mellon University for real-world accessibility research. He received best paper awards at ACM ASSETS 2002 and 2009 and won an achievement award from the Japanese Ministry of Education, Culture, Sports, Science and Technology in 2011. He is a member of the IBM Academy of Technology and ACM.


Horst Samulowitz
Senior Research Manager and Principal Research Staff Member, IBM Research

I am a principal research scientist and senior manager of IBM’s AI Automation, Planning, and Performance research department and part of the Culture Club at IBM Research. My research interests include meta-learning, combinatorial search and optimization, knowledge representation, and machine learning. My current research focuses on applying AI to AI, including practical applications such as automating Data Science (see ). The quest for AI took me across six countries and three different continents. Prior to joining IBM Research, I worked at Microsoft Research and the University at Melbourne. I received my Ph.D. from the University of Toronto and my Masters degree from the RWTH Aachen.


Jeffery J. Welser
COO IBM Research / VP Exploratory Science & University Collaborations / VP Almaden, Brazil & Japan

Dr. Jeffrey Welser is Chief Operating Officer for IBM Research and Vice President, Exploratory Science and University Collaborations. He overseesIBM Research Labs based in California, Brazil and Japan, as well as the MIT-IBM Watson AI Lab in Cambridge. He oversees exploratory and applied research to advance data technology and analytics for Hybrid Cloud and AI systems and software, with a strong focus on advanced computing technologies for AI, neuromorphic devices and quantum computing. 
After joining IBM Research in 1995, Dr. Welser worked on a broad range of technologies, including novel silicon devices, high-performance CMOS and SOI device design, and next generation system components. He has led teams in both development and research, as well as running industrial, academic and government consortiums, including the SRC Nanoelectronics Research Initiative. 
Dr. Welser received his Ph.D. in Electrical Engineering from Stanford University. He holds 21 US Patents and has published over 75 technical papers and presentations. He is an IEEE Fellow, a member of the IBM Academy of Technology and the American Physical Society, and Chairman of the Bay Area Science and Innovation Consortium. He serves on several university and industry technical boards, and has participated in numerous Federal Agency, National Academies and Congressional panels on advanced semiconductor and computing technology.


John Buselli
Business Development Executive

John Buselli is an IBM Research Business Development Executive. Since joining IBM Research in January 2015, John has focused on cybersecurity, data governance, identity/blockchain and AI Analytic initiatives. He previously led a global team tasked with building an Information/Compliance Practice within the IBM software organization. His career has been focused on establishing and expanding initial markets and operations for early stage software firms including Princeton Softech (purchased by IBM) and KVS (acquired by Symantec) as well as senior leadership roles at Verity, Seer Technologies and Texas Instruments.


John R. Smith
IBM Fellow, IBM Research AI and Future of Computing

Dr. John R. Smith is IBM Fellow at IBM Research working at the intersection of Artificial Intelligence, Future of Computing and Accelerated Discovery. Previously, he led Computer Vision and Multimedia research at IBM.
In October, 2020, John was awarded the ACM SIGMM Technical Achievement Award for his outstanding, pioneering and continued research contributions in the areas of multimedia content analysis and retrieval.  Dr. Smith is a Fellow of IEEE.
Dr. John R. Smith received his B.S., M.S., M. Phil, and Ph.D. in Electrical Engineering from Columbia University.  He has authored several hundreds of articles at top conferences and journal (>30,000 citations, h-index = 77, i-10 index = 387) and is an inventor of over 100 United States patents.  

IBM Research Profile:


John Rozen
IBM Research Staff Member, Manager, beyond-CMOS materials and devices

John Rozen is a  Manager,  Research  Staff  Member,  at  the  T.J.  Watson  Research  Center  located  in Yorktown Heights, New York, USA. He has degrees in engineering, physics, and materials science. The interdisciplinary nature of his curriculum has allowed him to develop a wide range of skills that have  been  successfully  applied  to  research  and  development  of  novel  processing  for  SiC  power electronics,  Si  microelectronics,  and  most  recently  non-volatile  memory  for  analog  computing.  His achievements  include:  the  design,  implementation,  and  automation  of  processing  and  testing platforms, invited talks at international conferences, interactions with funding agencies, publications in peer-reviewed journals, and a patent portfolio. As a technical lead, he enabled SiC MOS research at the Central Research Institute of the Electric Power Industry in Japan, and he is now the project lead for a CMOS technology joint development program with an IBM partner in addition to managing a team dedicated to building exploratory analog switches for neuromorphic computing.


Kailash Gopalakrishnan
IBM Fellow and Senior Manager, Accelerator 

Kailash Gopalakrishnan is an IBM Fellow and a senior manager of the accelerator architectures and machine learning group at the IBM T. J. Watson Research Center, where he has worked in the areas of computer architecture, deep learning, semiconductor devices, circuit design and emerging memory devices. Over the past decade, his primary research has centered around the invention and development of specialized platforms that have dramatically improved industry-wide AI systems’ performance and revolutionized the incorporation of AI capabilities within IBM Systems. He has a Ph.D. in Electrical Engineering from Stanford University and his current research interests include accelerator microarchitectures, machine learning and approximate computing. 


Kallie Ferguson
Global Lead, Quantum Community Programs, IBM Systems

Kallie Ferguson works to build an IBM Quantum Community centered around the values of open source.  She leads the quantum community event team, plans community programs, and supports educational initiatives. Key to her work is driving strategies that are accessible, diverse, and inclusive and works to remove barriers that exist to learning quantum and joining the future quantum workforce. She received her JD in 2012 and brings to IBM a background in community focused work. 


Kate Soule
Head of Membership Program, MIT-IBM Watson AI Lab, IBM Research

Kate is currently the Head of Membership Program for the MIT-IBM Watson AI Lab.  The MIT-IBM Watson AI Lab is a $250M joint partnership between MIT and IBM with the mission to advance AI science for real world impact. To ensure our research is grounded in business opportunities, the lab’s membership program partners with companies across a broad array of industries. Members work with the lab to help define our research portfolio, and in return gain access to key IP coming out of the lab.


Kay Murphy
Partner - Asset Optimization, IBM Global Business Services.

Kay Murphy is consulting executive in the Asset Optimization area of IBM Global Business Services. She has over 25 years of business experience serving both the public and private sectors. In addition to the defense industry, she’s delivered solutions in the industrial, education, general government, and energy sectors. Kay’s background is in IoT, cognitive technology, applied analytics, business intelligence, data warehousing, and asset and facility management.


Kenneth Wood
Quantum Business Development Director, IBM Intellectual Property

Kenneth Wood is the Global Business Development Director for the IBM Quantum System Program reporting into the IBM Intellectual Property organization.    Mr. Wood provides management and direction to quantum business development resources located primarily in North America, Europe, Japan and Asia Pacific.   Under his leadership, the IBM quantum team has finalized technology access, joint development and license agreements with JP Morgan Chase, ExxonMobil, Samsung, Goldman Sachs, Amgen, BP, Mitsubishi Chemical, Oak Ridge National Lab, Los Alamos National Lab, and many others.  

Mr. Wood received his BS in Chemical Engineering from Lehigh University, and holds a Professional Engineering license.


Kush Varshney
Distinguished Research Staff Member and Manager, IBM Research

Dr. Kush Varshney is a distinguished research staff member and manager at the Thomas J. Watson Research Center, Yorktown Heights, NY, where he leads the machine learning group in the Foundations of Trustworthy AI department. He received the B.S. degree (magna cum laude) in electrical and computer engineering with honors from Cornell University in 2004. He received the S.M. degree in 2006 and the Ph.D. degree in 2010, both in electrical engineering and computer science, from MIT. He was a visiting scientist at IBM Research - Africa, Nairobi, Kenya in 2019. He is the founding co-director of the IBM Science for Social Good initiative. He applies data science and predictive analytics to human capital management, healthcare, olfaction, computational creativity, public affairs, international development, and algorithmic fairness, which has led to recognitions such as the 2013 Gerstner Award for Client Excellence for contributions to the WellPoint team and the Extraordinary IBM Research Technical Accomplishment for contributions to workforce innovation and enterprise transformation. He conducts academic research on the theory and methods of trustworthy machine learning. His work has been recognized through best paper awards at the Fusion 2009, SOLI 2013, KDD 2014, and SDM 2015 conferences and the 2019 Computing Community Consortium / Schmidt Futures Computer Science for Social Good White Paper Competition. He is currently writing a book entitled 'Trustworthy Machine Learning' with Manning Publications. He is a senior member of the IEEE and a member of the Partnership on AI's Safety-Critical AI expert group.


Lisa Amini, Moderator
Director, IBM Research Cambridge and AI Automation and Scaling

Dr. Lisa Amini is the Director of IBM Research Cambridge, which is home to the MIT-IBM Watson AI Lab, and of IBM's AI Horizons Network. She also leads IBM's AI Automation and Scaling Research efforts globally and is an IBM Distinguished Engineer. Lisa was previously Director of Knowledge & Reasoning Research in the Cognitive Computing group at IBM’s T.J. Watson Research Center in New York. She was also the founding Director of IBM Research Ireland, and the first woman Lab Director for an IBM Research Global (i.e., non-US) Lab (2010-2013). Previously, Lisa was Senior Manager of the Exploratory Stream Processing Research Group at the IBM T.J. Watson Research Center. She was the founding Chief Architect for IBM's InfoSphere Streams product. The Streams product is the result of a Research technology, System S, for which Lisa was also architectural lead from inception. Streams is a software platform for continuous, high throughput, and low latency mining of intelligence from massive amounts of sensor and other machine generated data. She also led her team in formative Smarter Planet/Cities pilots analyzing real-time data for cyber security, manufacturing, telecom, market data analysis, radio astronomy, environmental (water) monitoring, and transportation. Lisa earned her PhD degree in Computer Science from Columbia University.


Luis Lastras
Distinguished Research Staff Member and Senior Manager, IBM Research

Luis is a Distinguished Research Staff Member at the IBM T.J. Watson Research Center, where additionally he is a member of the IBM Academy of Technology, and Senior Manager of the Conversational Systems department, which conducts research ranging from speech transcription and synthesis, knowledge graph induction to interactive dialog systems. For most of his career, Luis has been with IBM Research, however he spent 3 years at IBM Watson, the business unit that IBM created to commercialize its interests in artificial intelligence, where he led two teams that launched two new IBM offerings - Watson Concept Insights and Watson Virtual Agent. At IBM Research, Luis led a multiyear program on the design of error correcting codes for computer memory, which resulted in technology that for more than ten years has been used by IBM's mainframe and POWER computers, including RAIM, the world's most reliable memory system, implemented all IBM zSeries systems. Luis core scientific training is on information and coding theory and has published in subjects ranging from multiterminal Shannon theory to data compression algorithms, the Shannon theory of memories and coding theory for new memory technologies. At the present moment he is particularly interested in the use of extensions of information theory as the foundation for representation learning, a line of research that he believes will fundamentally alter the trajectory of research in deep learning by bringing to bear a key results from information theory that will speed up our fundamental understanding of it. Luis obtained his Bachelor in Electrical Engineering form the Universidad Autonoma de San Luis Potosi, Mexico, and his MSc and PhD degrees from Cornell University in 1998 and 2000, respectively. 


Michael Factor
IBM Fellow - Cloud Data and Storage, IBM Research

Dr Factor is an IBM Fellow with a focus on cloud data, storage and systems.  His current main focus area is hybrid cloud data. Among his responsibilities is as a global lead for all work on Hybrid Data form IBM Research. In this role, he and the global team are defining future directions to ensure 1) it is easy to get the right data for a task, 2) that data is always used in a secure and governed fashion and 3) that IBM has high-performance, secure, highly-functional and cost efficient data stores and processing engines.


Michael Hind
Distinguished Research Staff Member, IBM Research

Michael Hind is a Distinguished Research Staff Member in the IBM Research AI department at Yorktown Heights, New York. His current research passion is in the general of area of Trusted AI, focusing on the fairness, explainability, transparency, and the governance of AI systems. Michael has led dozens of researchers focusing on programming languages, software engineering, cloud computing, and tools for AI systems. Michael's team has successfully transferred technology to various parts of IBM and launched several successful open source projects including Jikes RVM, X10, WALA, OpenWhisk, AI Fairness 360, and AI Explainability 360. After receiving his Ph.D. from NYU in 1991, Michael spent 7 years as an assistant / associate professor of computer science at SUNY - New Paltz. Michael is an ACM Distinguished Scientist, and a member of IBM's Academy of Technology. He has co-authored over 50 publications, served on over 50 program committees, and given many keynotes and invited talks at top universities, conferences, and government settings. His 2000 paper on Adaptive Optimization was recognized as the OOPSLA'00 Most Influential Paper and his work on Jikes RVM was recognized with the SIGPLAN Software Award in 2012.


Michael Osbourne

Michael Osborne is a Principal Research Scientist and currently leads the security and privacy activities at the IBM Research center in Rüschlikon Switzerland and has a global role as Lead for IBM Q Security and Encryption. His current focus includes leading IBM Research division's Post Quantum Cryptography efforts to develop and standardize quantum resistant technology and transferring this technology to IBM’s products and services.Other activities include privacy enhancing cryptography, cryptography forblockchains, GDPRand cloud security. Previous to this Mr. Osborne lead a number of large-scale governmental projects in the area of national identity schemes.


Nancy Greco, Moderator
Director, Research Cognitive IoT solutions, IBM Research

Nancy Greco is a Distinguished Engineer at Watson Research Center in Yorktown Heights, NY. Her role is to take new Research innovations, integrate with existing IBM products and offerings, to create differentiated value for specific use cases, and solidify a go to market plan. Her focus is moving AI to the edge for industries like manufacturing, telco, utilities and banking. Having worked 25 years in IBM’s semiconductor manufacturing and R&D, she is a manufacturing and operations SME and is driving efforts in analytics, edge and robotics to help clients transform their operations and workforce. Nancy designs and deploys PoCs and MVPs and uses that feedback to optimize the final design.


Nirmit Desai
Principal Research Staff Member, Edge AI, IBM Research

Nirmit Desai works on Distributed AI research, especially focused on challenges and applications of enabling AI at the edge. He led the team that created the technology undelying the Flu risk predictions, Mesh Network Alerts, and Simulcastr. Nirmit is excited about the prospects of harnessing the collective power of the omnipresent mobile devices. He likes to make sense of technology trends and ponder about the future of computing. Previously, he worked on distributed computing, services computing, multi-agent systems, and AI. His work has been recognized with several awards, e.g., NCSU CoE Dissertation Award, INFORMS Innovation in Analytics Award, Best paper award at IEEE SCC, and Outstanding Technical Accomplishment Awards at IBM. In 2017, he was inducted into the Alumni Hall of Fame of the Department of Computer Science at NCSU.


Omri Soceanu
AI Security Group Manager, IBM Research

Omri Soceanu is the head of the AI Security research group at IBM Research Haifa. He holds a B.Sc. and M.Sc. in Electrical Engineering from the Technion - Israel Institute of Technology. Before becoming the head of the AI Security group, Omri worked on different aspects of data security, employing machine learning techniques in a Big Data setting using state-of-the-art approaches. Omri has several years of hands-on experience working on embedded systems, cryptography, cyber-security, and machine learning algorithms


Rachel Ostrand, Moderator
Cognitive Scientist & Psycholinguist Extraordinaire, IBM Research

Rachel Ostrand is a Research Scientist at IBM Research, where she is a cognitive scientist with a focus in psycholinguistics, the study of speech production and comprehension. Her research investigates the use of language production to predict future Alzheimer's disease and cognitive decline. In particular, her work addresses whether speech can be used as a signal of the speaker's underlying cognitive status, and what features of speech are affected in Alzheimer's disease and cognitive decline. Understanding these questions may allow us to use changes in speech production as an early-warning signal for future dementia.

She was named a Frontiers of Engineering fellow by the National Academies of Engineering, is an Adjunct Assistant Professor at Kent State University, and a Visiting Scholar at UC San Diego. She received a BS in Cognitive Science from Brown University and a PhD in Cognitive Science from UC San Diego.


Ruchir Puri
IBM Fellow; Chief Scientist, IBM Research

Dr. Ruchir Puri is the Chief Scientist of IBM Research and an IBM Fellow. He led IBM Watson as its CTO and Chief Architect from 2016-19 and has held various technical, research, and engineering leadership roles across IBM’s AI and Research businesses. Dr. Puri is a Fellow of the IEEE, and has been an ACM Distinguished Speaker, an IEEE Distinguished Lecturer, and was awarded 2014 Asian American Engineer of the Year. Ruchir has been an adjunct professor at Columbia University, NY, and a visiting scientist at Stanford University, CA. He was honored with John Von-Neumann Chair at Institute of Discrete Mathematics at Bonn University, Germany. Dr. Puri is an inventor of over 70 United States patents and has authored over 100 scientific publications on software-hardware automation methods, microprocessor design, and optimization algorithms. He is the chair of AAAI-IAAI conference that focused on industrial applications of AI. Ruchir’s technical opinions on the adoption of AI by society and businesses have been featured across New York Times, Wall Street Journal, Forbes, Fortune, IEEE spectrum among other.


Sara Berger
Cognitive & Behavioral Neuroscientist, IBM Research

Dr. Sara Berger is a Research Scientist at IBM Research, in the area of Responsible and Inclusive Tech under IBM’s Governance of Science and Technology.  Prior to joining IBM, she received her PhD in neuroscience from Northwestern University and her BA in neuroscience and women, gender, and sexuality studies from Macalester College. Her training and expertise is in cognitive and behavioral neuroscience, and she has spent over a decade researching acute and chronic pain perception and prediction in humans and animals. Dr. Berger also has a background in bioethics and critical theory, and over the course of her career, she has become interested in and passionate about the ethical implications of neuroscience research and neurotechnology on society.


Sriram Raghavan, Moderator
VP, IBM Research AI

Sriram Raghavan is Vice President, IBM Research AI, with overall responsibility for AI research across all of IBM’s research labs. Previously Sriram was Director of the IBM Research Lab in India and the Research Center in Singapore. He also served as CTO for IBM in India/South Asia, with responsibility for communicating IBM's overall vision and strategy around emerging innovations and technologies with key stakeholders in the region.


Yoav Katz
Manager, IBM Debating Technologies, IBM Research

I completed my B.Sc. and M.Sc. in computer science at the Technion Institute of Technology in Haifa, Israel. Since 2002, I have been working in IBM Haifa Research Lab. I now manage the IBM Debating Technologies team, which build Project Debater, the first AI system to successful compete with a human in a live debate. In 2014, I joined the Project Debater team as the chief software architect, responsible for the overall software design, infrastructure and deployment of the system. Prior to this role, I served in various technical and management roles developing tools and methodologies for simulation-based verification of hardware designs. These technologies are used in all IBM processors designs as well as by external companies. My main areas of interest are Natural Language Processing systems from both the algorithmic and engineering aspects.


Yunyao Li
Principal Research Staff Member and Senior Research Manager, Scalable Knowledge Intelligence, IBM Research

Yunyao Li is a Senior Research Manager and Principal Research Staff Member with IBM Almaden Research Center, where she manages the Scalable Knowledge Intelligence department. She is a member of the New Voices program at the National Academies. She is also a Master Inventor and a member of the IBM Academy of Technology. Her expertise is in the interdisciplinary areas of natural language processing, databases, human-computer interaction, and information retrieval. She has published over 50 peer-reviewed, referred articles, and filed over 30 patents in these areas. She co-authored a book “Natural Language Data Management and Interfaces”. She is a founding member of SystemT, a state-of-the-art information extraction engine currently powering multiple IBM products, and Gumshoe, a novel enterprise search engine that has been powering IBM intranet and search since 2010. Yunyao obtained her Ph.D degree in Computer Science & Engineering and dual-degrees of M.S.E in Computer Science & Engineering and M.S in Information from the University of Michigan. She went to college at Tsinghua University, Beijing, China, and graduated with dual degrees of B.E in Automation and B.S in Economics.


Event Details

Date: April 20 - 22, 2021
Time: 10:00 AM - 12:00 PM EDT
Location: Your Desk!

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