PhxMobi Emerging Tech Festival

Sponsored by Telnyx

November 13th, 2021


Chris Matthieu

Chris Matthieu is the founder & CEO of XRPANet inc., a metaverse company building alternative 2D and 3D communications platforms including: GroupRoom.io and Metaverses.io. Prior to XRPANET, Chris founded (and exited) five emerging tech companies including: Computes Inc. (a decentralized supercomputing platform company) which was recently acquired by MagicLeap, Octoblu Inc. (an enterprise IoT platform company) which was acquired by Citrix, and Nodester (a NodeJS PaaS) which was acquired by AppFog to name a few.

Howard Lindzon

Howard Lindzon (Wikipedia) is a Canadian Author, financial analyst, technical analyst and super angel investor. Lindzon manages a hedge fund, serves as managing partner of the holding company Social Leverage, limited partner at Knight’s Bridge Capital Partners, and is the co-founder of StockTwits. Lindzon was named one of The Best Tweets for Your Money in 2013 by Barron’s.


Bryce Howitson

Bryce is obsessed with creating products that people want to use. He helps organizations of all sizes prototype, and test their ideas. Sometimes called a designer, a developer, a strategist, a writer, or artist, Bryce has led teams and worked in the trenches.

Bryce is a Google Developers Expert in Web Technologies and a certified Design Sprint Master. He shares his knowledge by mentoring and teaching from his homeland in the great frozen north of Minnesota. Ask him about saving the rain forest with Project M or his most epic Boundary Waters Wilderness adventure.


Colin White

Colin is Head of Research at Abacus.AI in San Francisco. He conducts research focusing on AutoML, explainability, bias, and other areas of deep learning. He graduated from Carnegie Mellon University with a Ph.D. in computer science, supported by the NDSEG Fellowship.


Deepak Kala Vasudevan

Graduated from ASU with Master’s of Science in Computer Engineering, 2 years of experience as a Software Developer, currently working as the Director of Computer Vision at Sensagrate

Hari Gottipati

Hari Gottipati is a software professional, distinguished architect, thought leader, consultant, speaker and freelance writer who specializes in Open Systems, Java, internet scale computing/apps, architecture, Big Data, NoSQL, mobile, LBS, AI/ML, AR and Internet Of Things. Expert in analyzing market landscape for startup ideas and molding them into successful products with the technical/competitive advantage. Regularly writes about bleeding edge technologies and his quotes can be often found in various technology news/magazines such as Gigaom, CNN Money, WSJ, Bloomberg Businessweek etc. A well known blogger and his blogs can be found at on java.com and xml.com. Speaks at various events on the latest technologies, including iBeacons, Big Data, NoSQL, AI, AR, architecture and of course Java. Worked for many mobile startups, as well as big companies including Yahoo, Travelocity, and Motorola. Passionate about technologies and spends most of his time exploring bleeding edge software technologies.

Lei Zhang

Lei Zhang is a PhD student from the School for Engineering of Matter, Transport and Energy at Arizona State University. His research focuses on solving incomplete/imperfect-information differential games through game theory and machine learning. Applications of his research include human-robot interactions, autonomous driving, and competitive sports.

International Research Center

Mark Goldstein

Mark Goldstein is President of International Research Center (http://www.researchedge.com/), providing consulting, custom research, and strategic support for business, legal and public policy clients across a variety of disciplines and arenas since 1992. IRC concentrates on clients’ needs in the complex worlds of broadband/wireless, IoT/smart everything, autonomous vehicles/MaaS, blockchain/fintech, biotechnology, sustainability, economic development, and other domains by harnessing global information resources for informed decision making.

Mark is a technophile and technology visionary, activist, advisor, and entrepreneur with extensive experience and connections throughout myriad technology sectors. He is involved with a number of policy, economic development, professional, and trade groups, and a frequent speaker and trainer. Mark previously worked for 18 years in electronic and computer engineering including 12 years managing engineering teams and projects for Medtronic, a Fortune 500 biomedical device manufacturer. And he worked in the mid-seventies for MicroAge in R&D at the beginning of the personal computer revolution.


J. “Michael” Palermo IV

J. “Michael” Palermo IV is the Head of Developer Relations at Telnyx. Michael has been evangelizing innovative technologies for two decades. Michael is a published author of technical books as well as online courses with Pluralsight. Previously, Michael evangelized “smart home” on the Amazon Alexa team, and prior to that, he evangelized HTML5 web technologies at Microsoft.

Arizona State University

Mohammad Farhadi

Mr. Mohammad Farhadi has been working on accelerating neural networks since Aug 2016 under Prof. Yezhou Yang’s supervision as part of his Ph.D. He published several papers in this field. He joined Nextrea Video as a summer intern in May 2019. During his internship, Mohammad worked on accelerating neural networks using FPGA accelerators and testing the methodology he developed in the university on a real-world application. Mohammad later joined Ford Motor Company as a summer intern in May 2020. He worked on accelerating object detection models, which can assist autonomous vehicles for passing junctions safely.

Before joining ASU as a Ph.D. student, Mohammad completed his master’s at the University of Tehran and started working on several industrial-level projects. He has worked as the project manager and leading a team to set up several datacenters. He also was president of the Iranian Student Association (ISA) from Aug 2017 to Aug 2018 at ASU.

Sarah and Sheldon McGee

Sarah runs a Makerspace at a local school where she teaches grade schoolers about mechanics, circuits, 3D Printing, and dozens of other topics.

Sheldon has been a software engineer for many years and most recently an Engineering Manager. He is a card holding member of Heatsync labs.

Both Sarah and Sheldon have run local events like AIoT Devfest as well as GDG Phoenix for many years and try to stay active in the community.


Seetharaman Raja

Seetharaman is an Emerging technology lead for Marsh Digital labs. He is a solution architect & a full-stack application developer with 10 + years of experience. Leading the engineering team in offshore and onshore. Building next gen products on emerging tech.

4+ years of expertise in the design and development of Blockchain applications using Ethereum, R3 Corda, Hyperledger Fabric, Quorum, DeFi, NFT.

Notable Solutions:
1. Working with World’s largest insurance broker to develop Blockchain based trade finance platform.
2. Worked with Insurance based Global consortium to develop a Blockchain based solution using Corda.
3. Helped Manappuram Gold Finance for their online auctions for their Jewels using Corda Blockchain.
4. Helped state department police to complete the passport application process using Corda Blockchain

Shireesh Thanneru

Shireesh is a software engineer and architect. His current work is mostly focused on APIs, Cloud Computing, and Middleware Platforms.


Srinivas Vallambhatla

Srinivas Vallambhatla is SVP and Tech Expert at Marsh Labs. He researches emerging risks, identifying potential opportunities to future-proof business growth. Architected several enterprise-wide initiatives that include digital transformation and strategic greenfield innovation. Leads/collaborates with global, cross-functional teams to deliver products across all software development phases. He specializes in Blockchain, Web, Integration, and Product-based applications.

Arizona State University

Sze Zheng Yong

Sze Zheng Yong joined the Arizona State University as an Assistant Professor of Mechanical and Aerospace Engineering in January 2017. Previously, he was a postdoctoral fellow in the Department of Electrical and Computer Engineering at University of Michigan, Ann Arbor. Prior to that, he was a postdoctoral associate with the Laboratory for Information and Decision Systems (LIDS) at Massachusetts Institute of Technology (MIT).

He has obtained a Dipl.-Ing.(FH) degree in automotive engineering with a specialization in mechatronics and control systems from the Esslingen University of Applied Sciences, Germany in 2008 and his S.M. and Ph.D. degrees in Mechanical Engineering from MIT in 2010 and 2016, respectively.

Arizona State University

Dr. Yan Chen

Dr. Yan Chen received the B.S. and M.S. degrees (with honors) in Control Science and Engineering from Harbin Institute of Technology, Harbin, China in 2004 and 2006, respectively. He received his second M.S. degree in Mechanical Engineering from Rice University, Houston in 2009, and the Ph.D. degree in Mechanical Engineering from The Ohio State University, Columbus in 2013.

Dr. Chen joined Arizona State University as an Assistant Professor and founded Dynamic Systems and Control Laboratory (DSCL) in August 2016, after three years of full-time automotive industrial research experience. Dr. Chen’s research interests include design, modeling, estimation, control, optimization, and safety of dynamic systems, specifically for connected and automated ground vehicle, (hybrid) electric vehicle, internal combustion engine, aftertreatment, energy, and mechatronic systems. Dr. Chen’s research projects have been funded by federal agencies and industrial companies, such as National Science Foundation (NSF), Department of Energy (DOE), Office of Naval Research (ONR), Arizona Commerce Authority (ACA), General Motors (GM), Intel, SRP, and others. He is the author or co-author of more than 65 peer-reviewed publications.

Dr. Chen serves as an Associate Editor for the journal of IFAC Mechatronics, IEEE Transactions on Vehicular Technology, IEEE CSS Conference Editorial Board, and ASME Dynamic Systems and Control Conference (DSCC). He currently serves as the vice chair of ASME Automotive and Transportation Systems Technical Committee. He is a recipient of 2020 SAE Ralph R. Teetor Educational Award and 2019 DSCC Automotive and Transportation Systems Best Paper Award.


Kiran Mudiam

Dr. Kiran Mudiam is the SVP Emerging Technologies at Marsh Digital, a division of Marsh and McLennan Companies, leads their Real-time Risk Management and the Mobility with Autonomous Vehicle technology. Prior to Marsh, he was at The Touchpoint Solution, Trimble, Amex, Motorola. He was a founding member of Aligo, that was started while he was pursuing his Ph.D. at Arizona State University.

Lotus Labs Inc

Anjali Nennelli

Anjali Nennelli is entrepreneurial by choice and a technologist. She is a problem solver, serial entrepreneur, community builder, mentor, women in tech advocate, lifelong learner and a thought leader. She is also a Advisory Board Member and Mentor at Chandler Innovations.

She has hands-on experience and expertise with mobile & emerging technologies and their ecosystems. With over 20 years in tech industry, she has worked in software solutions from start-up to large-scale enterprise architecture. She is a founding member at Mokriya, a product creation studio that delivered products to Fortune 100 enterprises like Intel, Google, Twitter, Verizon, L’Oreal etc. She has also taken one of her products through the YC startup school.

Currently in its ninth year, PhxMobi Emerging Tech Festival is Nennelli’s passion project; she’s thrilled to use her thought leadership to bring people together to witness the cutting edge of technology, and along with her products, hopes to make a difference in this world.

She is currently building a product services company around AI and Machine Learning.

Lotus Labs Inc

Pranil Kanderi

Pranil is the CTO & CoFounder at Lotus Labs Inc.

Pranil is passionate about making an impact and enhancing people’s lives with technology. He is particularly focused on using the intersection of mobile, IoT, artificial intelligence, machine learning, and hopefully autonomous driving to build products for the future.

Machine Learning is eating Software