Meet the Faculty

Alvaro Monge is a visiting professor and the Director of Khoury Programs in the San Francisco Bay Area at the Khoury College of Computer Sciences at Northeastern University. He joins Khoury College while on leave from California State University, Long Beach, where he is a professor.

Before joining Northeastern in 2021, and before his 22-year stint in Long Beach, Monge taught at the University of Dayton. He has worked on applied research projects to improve web content for people with low vision and has assisted marine biologists in studying juvenile white sharks. For three years, he helped create the EngageCSEdu living collection of instructional materials (now a part of the ACM Education Board) that applies research-based engagement practices.

Monge teaches introductory programming, data structures, discrete structures, database systems, and web development. He is passionate about supporting students and has worked on projects supported by Google, the US Department of Education, and the National Center for Women and Information Technology to increase the retention and graduation rates of female and Latinx computing students. To the same end, Monge participated in a 2018 Google program aimed at preparing underrepresented students for tech internships and jobs.

Monge is a member of the ACM Education Advisory Committee and has co-chaired ACM’s Special Interest Group on Computer Science Education Technical Symposium.

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Ilmi Yoon is a teaching professor and a director of computing programs in the Khoury College of Computer Sciences at Northeastern University, based in Silicon Valley.

Yoon joined Khoury College in 2024 after two dozen years at San Francisco State University to explore a different education system that would impact more students. As an instructor for discrete structures courses in the Align program, she loves to meet students in their first semester, support their journey into computer science, and watch them grow beyond her expectations. Yoon researches human-centered AI, video accessibility, and socially responsible computing, all with the goal of engaging underrepresented and marginalized groups in computing and computing education.

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Omar Alonso is a principal data scientist lead at Microsoft in Silicon Valley, where he works on the intersection of social media, temporal information, knowledge graphs, and human computation. He is the co-organizer of DESIRES, a new information retrieval conference with a focus on system implementation and experimental design (http://desires.dei.unipd.it/). He is also co-chair of the crowdsourcing and human computation track for WWW 2019. He holds a PhD from the University of California at Davis and an undergraduate degree from UNICEN, Argentina.

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Tehmina Amjad is an associate teaching professor in the Khoury College of Computer Sciences at Northeastern University, based in Silicon Valley.

Over 16 years as a professor at one of Pakistan’s most prestigious universities, Amjad discovered a drive to advance the intellectual development of her students. Now, in her courses on discrete structures and information retrieval, she imparts the foundational concepts that connect Align students to more advanced computing concepts — with analytics and data science concepts sprinkled in.

In her research, Amjad has delved into a litany of topics, including citation analysis, topic modeling, knowledge diffusion, health care analytics, machine learning, neural networks, natural language processing, author name disambiguation, and library information sciences. The slew of leading journals in which she has published — including Future Generation Computer Systems, Scientometrics, and multiple IEEE publications — reflects her never-ending appetite for exploring new areas and working on challenging issues.

Outside of academia, Amjad enjoys traveling to scenic locations where she can experience other cultures and interact with new people.

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Akram Bayat is a data scientist with expertise at the intersection of AI and healthcare. She was a postdoc associate at MIT Media Lab where her research focused on creating novel intersections between engineering, medical imaging, machine learning, and medicine to develop innovative high-impact patient-centered research. Bayat received her Ph.D. in computer science from the University of Massachusetts Boston. During her Ph.D. research, she worked on developing machine learning algorithms for solving real-world problems and conducted experimental studies for modeling of human physical and behavioral characteristics. Bayat has significant expertise in applying deep learning for computer vision applications. Her research has been published in leading computer science conferences and journals and won numerous awards. Her recent work in computational staining of pathology images was published at Jama and mentioned at MIT News in May 2020.

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Rasika Bhalerao is an assistant teaching professor at the Khoury College of Computer Sciences at Northeastern University in Oakland. She earned her doctorate in computer science from New York University. At Northeastern, her areas of teaching include introductory courses (Fundamentals of Computer Science and the Align program), artificial intelligence, natural language processing, and ethical computing.
Rasika is a part of various organizations, including ACM-W, Climate Change AI, Cornell Tech’s Clinic to End Tech Abuse, and ACM SIGCSE. Outside of teaching, she is learning Spanish and Mandarin, and loves to rock climb and meditate.

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Anurag Bhardwaj is a Director of data science at eBay where he focuses on using Machine Learning to fight fraud and risk in eCommerce marketplace. Prior to eBay, he led machine learning efforts at Wiser - a bay area start-up where he worked on building a unified structured product catalog for retail. His research interests include Large Scale Machine Learning, Computer Vision and Deep Learning. He also teaches an online course "Text Mining" on statistics.com and just published a book titled "Deep Learning Essentials". Anurag received his PhD and MS from the State University of New York at Buffalo and holds a B.Tech in computer engineering from the National Institute of Technology, Kurukshetra, India.

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PhD in Computer Networks, Boston University. BS in Computer Science, Zhejiang University, China. Software Engineer at Google.

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Brent Hailpern is a fellow of the ACM and the IEEE. He was a distinguished research staff member and scientific director of the AI Horizons Network, as well as head of computer science for IBM Research. He retired from IBM at the end of 2019.

While working toward his PhD, which Hailpern received in 1980, he worked on a thesis entitled ‘‘Verifying Concurrent Processes Using Temporal Logic.’’ Hailpern joined the Thomas J. Watson Research Center as a research staff member in 1980, where he worked on and managed various projects relating to issues of concurrency and programming languages. From 1999 to 2004, he was the associate director of computer science for IBM Research.

From 2004 to 2011, he managed departments at Watson Research covering programming languages, software engineering, and human-computer interaction. There, he served as director of programming models and tools, with a worldwide responsibility for IBM Research’s strategy and research agenda in software technology. From 2011 to 2013, he was the director of the computer science department at IBM Research-Almaden.

Hailpern is a former secretary of the ACM, former member of ACM Council, and former chair of the ACM Special Interest Group on Programming Languages (SIGPLAN). He was the chair of the SIGPLAN 1991 conference on programming language design and implementation; chair of SIGPLAN’s 1999 conference on object-oriented programming, systems, languages, and applications; co-chair of SIGPLAN’s 2007 History of Programming Languages Conference; and co-chair of the 2014 CRA Snowbird Conference. Hailpern was a member of the CRA Board of Directors and a member of the NSF Directorate for Computer and Information Science and Engineering Advisory Committee.

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Lama Hamandi is an associate teaching professor at the Khoury College of Computer Sciences at Northeastern University. They earned her bachelor’s in electrical engineering from the American University of Beirut, and their masters and PhD degrees in electrical and computer engineering from the Ohio State University. Hamandi is research active in systems and networking.

Prior to joining Northeastern, she worked as a senior lecturer at the American University of Beiruit. Hamandi is also part of the Associate Teaching Professor Promotion Committee.

Outside of the classroom, she enjoys hiking.

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Hamidreza Jahanjou is a part-time lecturer in the Khoury College of Computer Sciences at Northeastern University’s campus in Silicon Valley. He completed his PhD in Computer Sciences at Khoury College where he was advised by Professor Rajmohan Rajaraman. Hamid earned his master’s degree at Sharif University of Technology in Iran. He has collaborated with several faculty members in research and teaching within the field of theoretical computer science.

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Jeongkyu Lee is a teaching professor at the Khoury College of Computer Sciences at Northeastern University. His research focuses on artificial intelligence, data science, machine learning and robotics.

Lee earned his doctorate in computer science from the University of Texas at Arlington and his master’s in computer science from Sogang University in South Korea. Before pursuing his doctorate, he worked as a database administrator with companies including Hana Bank and IBM Korea. Lee’s work has been published in journals such as IEEE, ACM and MDPI. Outside of academic research, Lee is passionate about traveling via train, which he finds exciting and relaxing.

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Shivakumar Mathapathi is an adjunct faculty member at Northeastern University as well at UC San Diego, Extension; he is also teaching at regional community academia including ethnically diverse institutions such as Ohlone and De-Anza College in California.

Shivakumar has been a passionate educator for nearly 25 years of industry experience with a strong desire to help students recognize the connection between learning and industry needs. He is an accomplished researcher and a co-founder of Dew Mobility Incorporated and Xtrans Solutions (P) Limited. His teaching and research areas include the internet of things (IoT), machine learning (ML) and artificial intelligence (AI). He has authored numerous articles published in prestigious journals, including IEEE, and various conferences, such as NIST Smart City projects.

He is the co-founder of Xtrans, which is a leading company in establishing center of excellence (CoE) to assist higher education to educate their students about the next generation internet research and development (R&D) programs.

Shivakumar is a team lead of the education cluster at the Global City Team Challenge project in collaboration with National Institute of Standards and Technology (NIST), under the U.S. Department of Commerce. He is the key contributor in creating tutorials, workshop and practice use cases for smart cities. The workshop also discusses about IoT standards and protocol which would help community partners and city/municipality staff to get familiar with national as well as international IoT standards.

Shivakumar received his MS degree in technology and innovation management from Northcentral University, California.

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Mark L. Miller, PhD completed his doctorate in Electrical Engineering and Computer Science at MIT, in 1979, specializing in applications of artificial intelligence to education.

In 2000, Miller founded Learningtech.org®, incorporating it as The Miller Institute for Learning with Technology, a California 501(c)(3) non-profit. He serves as both its lead technical contributor and its President and Executive Director. The mission of the organization is to help “children of all ages” use technology more effectively for learning. The firm has helped schools throughout California and in several other states. Services include: E Rate applications; technology plan preparation; professional development relating to Computer Science, Robotics and Making; IT consultation (network design; server router configuration/administration; technology impact assessment); and sponsored research in the areas of Educational Technology and Computer Science Education.

Before founding Learningtech.org, Dr. Miller served as Lab Director for Learning and Tools at Apple, reporting to the Vice President, Advanced Technology Group [ATG], where he spent almost a decade heading up educational technology investigations. Apple programs under his direction at various times included: Apple Classrooms of Tomorrow [ACOT]; Apple Global Education [AGE]; Visualization and Simulation; Business Learning and Performance Support; and Multimedia Authoring Tools. Responsibilities included oversight of over three-dozen employees, including Apple Distinguished Scientists and numerous engineers with advanced degrees, with annual budget responsibility in excess of $6M.

Dr. Miller’s industry experience includes Texas Instruments’ Central Research Labs [TI], where Miller established its widely recognized Machine Intelligence research program, emphasizing educational applications, expert systems, natural language processing. Miller later co-founded Computer*Thought Corporation (Dallas, TX), a high-tech TI spinoff backed by venture capital, where he led the design of an advanced instructional system to retrain software engineers for the Ada programming language, then being implemented for the International Space Station.

Dr. Miller’s teaching experience includes the University of Texas (Introduction to Artificial Intelligence; Survey of Knowledge Engineering; Design and Implementation of Programming Languages; Compilers, Assemblers, and Operating Systems; Software Engineering Using Ada; Discrete Structures). He also supervised successful M.S. and Ph.D. candidates at UT and Southern Methodist University. While a graduate student at MIT he served as both Research Assistant and Teaching Assistant in the Department of Electrical Engineering and the Artificial Intelligence and LOGO Laboratories, and as a Research Assistant at Bolt, Beranek, and Newman. Miller has also taught high school mathematics, computer science, making, and other topics at K12 schools, Community Colleges, and County Offices of Education. He developed and co-delivered a high school CS elective that received University of California “G requirement” approval, for use at multiple schools in the San Francisco Bay Area. In June 2020, Miller, along with Cynthia Solomon and a half-dozen Logo pioneers, published an article, History of Logo, in ACM SIGPLAN’s History of Programming Languages journal, describing the early development of this highly influential programming language for children. Logo was made famous by Seymour Papert (1980), in Mindstorms: Children, Computers, and Powerful Ideas). Miller worked with Papert at MIT and TI; some of Miller’s contributions are mentioned in the End Notes of Papert’s seminal publication. Mark is President Emeritus of the Computer Science Teachers Association [CSTA] Silicon Valley. He also teaches Python and Java in the ALIGN graduate program at Northeastern University’s San Francisco and Silicon Valley campuses. He is an active participant in California’s growing efforts to bring CS to K-12 education — with attention to equity, diversity, and inclusion.

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Dr. Smruthi Mukund is the Director of AI/ML at JP Morgan Chase, where she spearheads the Personalization and Insights initiative, dedicated to creating user-centric features and recommendation systems prioritizing customer needs. Prior to her tenure at Chase, Dr. Mukund held leadership roles in AI/ML teams at Twitter and Amazon, amassing over 15 years of industry expertise. With a strong commitment to responsible AI, she actively promotes ethical practices in the field. Concurrently, Dr. Mukund serves as a part-time faculty member at Northeastern University, where she has been teaching ML and Algorithms for over four years. She earned her Ph.D. in Computer Science from SUNY Buffalo.

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Prasad Saripalli serves as VP of AIML and Distinguished Engineer at MindBody, a technology leader providing Wellness business management software for gyms, spas and salons worldwide. Earlier, as vice president of AIML at Edifecs, Prasad Saripalli helps design, build and deliver Smart Decisions AIML Platform with an App Store for Healthcare Payer and Provider. Prior to joining Edifecs, he served as the Chief Technology Officer and Vice President of Engineering at Secrata.com, which provides military-grade cloud security solutions and platform.

He has also served as the CTO at ClipCard and as the Chief Architect for IBM’s SmartCloud Enterprise, and the GPM for Microsoft’s client virtualization team, which was responsible for shipping Virtual PC on Windows 7, and as a Dev Manager on the Citrix group that built Citrix Presentation Server, now Citrix XenApp.

Prasad has doctoral training in Engineering and Computer Science separately from the University of Florida, and post-doctoral training from the University of Texas at Austin’s Oden Institute. He serves as a Professor of Practice at the University of Washington’s Continuum College.

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Mohammad Toutiaee is an assistant professor at the Khoury College of Computer Sciences at Northeastern University. His research focuses on artificial intelligence, data science and machine learning.

Toutiaee earned both his master’s and doctorate in computer science from the University of Georgia. He joined Northeastern in 2021, where he currently teaches discrete structures, data science and machine learning. Notable journals Toutiaee has been published in include the Association for Computing Machinery’s Special Interest Group on Knowledge Discovery and Data Mining, IEEE International Conference on Big Data and the International Conference on Advances in Big Data Analytics.

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Sr Program Director Dr. Kal Bugrara is the program director of information systems, software engineering systems, and data architecture and management at Northeastern University.

Dr. Kal Bugrara holds a Ph.D. in computer science from Indiana University in Bloomington, Indiana. While at the University, he focused on algorithm design and backtrack search. Dr. Bugrara is the second generation of Donald Knuth, the father of computer science, and was an advisee of Paul Purdom. Dr. Bugrara has invented the COiN technique for extracting contract intelligence and new engineering techniques used for building eco-system scale applications.

Dr. Bugrara has over 25 years of experience in management and technology consulting for Fortune 100 companies. On one of his most recent projects, he served as the strategist for transforming the Canadian Imperial Bank’s Management Consulting Services into a world-class leadership university, the first of its kind. His strategy formulation and implementation processes have been the key determinant for the success of projects.

As Director, he oversees the educational pursuits of over 1500 masters’ students in over 80 classes, and with over 40 full and part time faculty members. He has dedicated his career to studying, educating students from across the globe, and developing software engineering solutions to solve real-world software challenges that address the issues of society.

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Dr. Suhabe Bugrara is a security researcher focusing on cryptocurrency and smart contract security. He received a Ph.D. from Stanford University in computer science and a B.Sc. from MIT. Previously, he was the founder of a healthcare machine learning startup that optimizes profitability at world-class hospitals.

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Dr. Pramod Gupta has more than 20 years of experience as a researcher and academician in various organizations including work with NASA, GE, VISA, University of California, and startups. Dr. Pramod Gupta has more than 20 years of experience He has a PhD from McMaster University in Electrical and Computer Engineering with specialization in Neuro-Control of Robotic Manipulators. He has more than 40 publications on these subjects and book entitled " Introduction to Machine Learning in Cloud with Python" published by Springer. His research areas include Neural Networks, Machine Learning, Artificial Intelligence, Data Modeling and Analytics and Data mining. Presently he is working as an independent consultant in the data science domain and as an Adjunct Faculty.

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Bala Maheswaran received his M.S. and Ph.D. in experimental solid state Physics, and MSEE in Electrical Engineering from Northeastern University. He worked as a research associate and lecturer in the department physics, Northeastern University, and then joined the college of engineering. He is currently a senior faculty in the First-Year Engineering Program. He has contributed and authored about sixty publications consisting of original research and education related papers, and conference proceedings. He also has been a part of paper presentations, workshops and panel discussions in several national and international conferences. He has over twenty years of experience in teaching at Northeastern University. He is the Division Chair of Engineering Physics Division, ASEE; Chair-elect and executive board member, ASEE-NE Section; the co-chair of TASME Conference (Technological Advances in Science, Medicine and Engineering), and Academic Member of Athens Institute for Education and Research (ATINER), and the Head, Electrical Engineering Unit, ATHINER.

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Tejas Parikh is a Part-Time Lecturer at Northeastern University and Principle Site Reliability Engineer at Tamr, Inc. He has been teaching Master’s level courses at Northeastern University since 2017. He received his Bachelor of Science in Computer Science from Eastern Michigan University in 2006 and a Master of Science in Computer Science from Northeastern University in 2009. He has been working on cloud computing technologies for more than 8 years with a focus on containers, container orchestration, and hybrid cloud architecture and design. He is passionate about all things open source, Linux, DevOps, SRE, automation, cloud, containers, and Kubernetes.

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Brett Ritter has been practicing the art and science of web development since the previous century and enjoys guiding students in how to constantly improve their techniques and adapt to an ever-changing industry. He has worked for or collaborated with state and federal government agencies, an AgTech company, car auction and dealership sites, the online identity platform Okta, and assorted freelance projects.

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Dr. Jagadeesh Vasudevamurthy has more than 20 years of experience in electronic design automation. He has worked on the design and development of commercial EDA tools at Cadence, Xilinx, Synplicity and Mentor Graphics. He is a senior member of IEEE and a member of ACM. He has more than 20 years of experience in electronic design automation.

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David Bakhtnia is a technical entrepreneur, technology consultant, and project and program manager. He has over 30 years of experience in technical and internet-related products and services, supporting a variety of products and services including full-stack applications (SaaS, PasS, Web, mobile), IT infrastructure (Hadoop lab, data center, and migration), and support services. In addition, he is co-founder of a global Agile community of experienced Project and Program Managers.

He gives back to the community by teaching Agile and PM courses at (UCSC Silicon Valley extension), Northeastern University, Silicon Valley Campus, providing consulting services ( PATCA) to build and/or lead e-Solutions (eSolutionLab, and Bakhtnia.com), training and/or building collaborative environments, and speaking at events (IEEE, Meetups, Engineering, and leadership communities).

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Dr. Bergner is an energetic organizational leader, accomplished technologist, and passionate teacher with a strong commitment to his students. He has served in executive management, strategic planning, organizational development, program and project management, management of scientific research, technology R&D, engineering design, training, and teaching. During a thirty-year career at NASA, he contributed to the creation and implementation of projects, research programs, and new initiatives in various areas, including Space Biology, Atmospheric Chemistry and Physics, Aeronautics, Organizational Risk Management, Knowledge Engineering, and Information Technology. He successfully managed multiple concurrent projects, programs, and R&D portfolios, and served as Chief of the Division of Space Biosciences at NASA Ames Research Center. He managed the Ames Project Excellence Program (APEX) to develop new cadres of emerging leaders in Project Management and Systems Engineering at Ames. After leaving NASA he established a Master of Business Administration program at Sofia University in Palo Alto, CA, which was taught in English and Mandarin Chinese, with program enrollment reaching sixteen hundred students.

Dr. Bergner teaches courses in Leadership, Management, Quantitative Methods, and Decision Science. His research interests include decision analysis, dialogue processes, organizational and team factors in data science, and online decision support communities. His work lies at the intersection of decision-making, communication systems, and design thinking, building on research he conducted as a visiting scholar at the Stanford Center for Design Research. He received his Ph.D. in Management Science and M.S. in Engineering Economic Systems, both from Stanford University, and his B.S in Applied Sciences from the University of Louisville.

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Padmini has been working as a change agent with organizations since 1998. She is a certified APM from Stanford University, accredited Kanban Trainer from Lean Kanban University, teacher at Northeastern University, a Certified Scrum Master, SPC 5.0 from Scaled Agile and PMI member. For the last 15 years, she has been the CEO of CyberVardan LLC, consulting for various companies in the Silicon Valley like Microsoft, Apple, Agilent, Sony and many startups like Heru Inc. She has a solid track record in delivering projects using agile methods in cloud infrastructure integration programs, mobile software, and bioscience. Padmini is passionate about building relationships across the organization and helping to create and foster a mindset of continuous process improvement that is founded upon the values of quality, trust and respect.

Most recently, she has been teaching graduate-level classes at Northeastern University to educate the next generation professionals. Besides helping enterprises achieve their project goals, she volunteers at Sankara Eye Foundation helping to eradicate curable blindness.

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Mahashweta Das is a Senior Director, Artificial Intelligence at Visa Research where she works on challenging real problems at the crossroads of tech and payment industry. Previously, she was employed as a Research Scientist at Hewlett Packard Labs where she designed and developed big data analytics solutions for HPE’s 'The Machine'. She has also held summer positions at Yahoo! Research, Technicolor Research Lab, and IBM Research. Mahashweta received her Ph.D. in Computer Science from the University of Texas at Arlington in 2013. Her research interests include machine learning, deep learning, data mining, graphs, and algorithms. She has filed over fifteen patents and published over twenty refereed articles at premier international research conferences and journals, and regularly serves on the program committee of these conferences. Her PhD dissertation received Honorable Mention at ACM SIGKDD 2014 Doctoral Dissertation Award. At Visa Research, she is leading a group of AI researchers and engineers focused on conducting foundational research, creating new products/early prototypes that incorporate research breakthroughs, and delivering innovative technologies for Visa’s strategic products and businesses. She is also managing academic collaboration program for Visa Research.

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Venkata Duvvuri is currently a director of data science at Oracle corporation. He is a results-oriented data science, business, web & marketing analytics leader with over 12 years of experience in data science, business analytics, digital media analytics and web marketing optimization. He has led internationally recognized corporations, in addition to 10 years software engineering experience and a top business school MBA. He has experience in management of onshore and offshore teams as well as leadership experience ranging from director to manager at Fortune 100 companies including marketing agencies.
 
He is a cross-functional leader and subject matter expert in machine learning. He has improved ad performance by $10M at Unity Technologies & $7M at Oracle leveraging deep learning, spark MLIB and Tensorflow operating on big data. He has driven improvements in business & online marketing outcomes by several million dollars at eBay (Triad Retail Media), Conversant (Alliance Data), AT&T (Cricket Wireless) and crunched several terabytes of data at Apple Corporation. He holds a Master’s in computer science from University of Massachusetts Amherst and a MBA from University of California Davis. Additionally, he is a doctoral candidate at Purdue University. Finally, he serves on the advisory alumni board at Graduate School of Management at UC Davis.

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Ed Fernandez is a Non-Executive Director and Board Director in Venture Capital and Private Equity sectors with a focus in Technology and Innovation.

On the academic front, he is a faculty member at Northeastern University in their Silicon Valley campus and Board Trustee at Polytechnic University in Madrid, Spain.

Ed is also a Member of the Technical Expert Stakeholders Group DG-FISMA at the European Commission, working on policy recommendations to foster SME growth and access to public capital (IPO).

He has a background as an Electrical & Electronic Engineer, a GSMP post-grad (Global Management Program) from University of Chicago Booth School of Business and IE Business School and ELPP (Engineering Leadership Program) post-grad from Berkeley's University Center for Technology & Entrepreneurship.

Ed currently holds board positions at Arowana International [ASX:AWN] and BigML Inc, an AI and Machine Learning technology company in USA. He is also an advisor to the board and investment committee member at Alicorn Venture Fund. Alicorn is a global venture capital group based in UK, Australia and Israel investing in technology companies (Series B+,C, D and E) in Enterprise Software, Machine Learning, Data Analytics, AI and Cybersecurity sectors.

Ed has also two decades of corporate experience in the mobile industry: in his latest tenure working as Managing Director/VP for BlackBerry, the Enterprise Services and Mobile Device manufacturer. He joined BlackBerry back in 2007, overseeing Southwest territories in EMEA to, later on, in 2012 move to US to head LATAM north markets. Previously, he spent nine years at Nokia in different sales and marketing operations roles.

Ed has been teaching and designing AI and Machine Learning master’s courses at Northeastern University with a focus on experiential learning and Enterprise applications.

In addition to teaching, designing and producing course content he has actively engaged in Experiential Learning Projects with NU students and leading-edge companies and startups using AI and Machine Learning to innovate and transform their industries.

Ed can be reached in Twitter at @fernandez, and LinkedIn https://www.linkedin.com/in/ed-fernandez/

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Dhammike is an Organizational Change Management professional with over 20 years of industry experience. He is an expert in organizational transformation, organizational change management, program and project management, agile development, communications, and process improvement. He started his career as an industrial engineer and later moved to management, and project consulting.

He got his foundation set after earning an Industrial/Production Engineering degree from the University of Peradeniya, and an MBA from Baylor University. He is equipped with many tools and industry best practices that he acquired through certifications that he earned in various disciplines like change management, and program management. Project management, and agile methodologies. He has PROSCI, APMG, PMP, CBAP, and CSM certifications on his back.

His work experience comes from the organizations like Intel, Walgreens, Kaiser, Baylor University, State of CA, Accenture, TCS, Chevron, Keurig Dr Pepper, and some other international businesses.

Teaching was his very first work gig while he was in High School. He continued his interest in teaching, training, and helping others during college, while in post-graduate education, and in corporate tenures. Nowadays, at Northeastern, he enjoys utilizing his work experience in combination with theory while teaching for career advancement.

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Ravi Kalluri, MSME, MSEE, MBA, PMP, ACP, SPT, CSM. Ravi has 25 years of experience leading complex programs, with an expertise in project risk management. Currently, he serves as a Sr. Technical Program Manager at Amazon Web Services. He has previously held program management roles at Cisco Systems, Citrix Systems, Ericsson, CA Technologies, VeriSign, and Motorola. Ravi previously served as an Adjunct Faculty of Project Management in the University of California System (Berkeley, Irvine, Santa Cruz Extension campuses). He has conducted corporate trainings in Project Management for Volkswagen of America as well as taught project management and risk management courses for Northrop Grumman. His recent presentations include Project Risk Management for Business Success in a Startup Environment at PMI Silicon Valley and Enabling Collaborative Software Development in a Post-Acquisition Scenario at VeriSign Technical Symposium. Ravi received his MBA from Northwestern University (Kellogg), MS in Electrical Engineering at Stanford, MS in Mechanical Engineering at The Ohio State University, MS Certificate in Project Management from George Washington University and Graduate Certificate in Systems Engineering from Massachusetts Institute of Technology.

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Azadeh is a principal data scientist at Genentech working on applications of Natural Language Processing in medical domain. She was previously a senior data scientist at Convoy, Inc and Microsoft, Health AI team, working on applications of machine learning and optimization. She got her Ph.D. in Operations Research from University of Houston, TX and has more than 10 years of professional experience in analytics, statistics, optimization, simulation and machine learning.

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Fidel is an accomplished business and technology executive with 15+ years of experience developing teams and delivering innovative solutions for organizations in the tech, entertainment, and financial services industries. He is a skilled strategist with deep knowledge of data and analytics. Fidel's career is anchored in consulting (Siemens - SI 110B; Accenture – ACN 117B) and further informed by industry experience.

Fidel graduated Summa Cum Laude with a Bachelor's in Finance at California State University, Northridge. He later earned a Master's degree in Analytics with Highest Distinction through Carnegie Mellon University.

In his spare time, Fidel provides pro-bono analytics advisory services for two non-profit companies:

• ExED - A non-profit organization committed to the success of schools and students
• KIPP - A non-profit dedicated to helping students achieve academic success

Currently, Fidel works at LinkedIn as a Director of Analytics.

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Amanda Welsh is a professor of the practice in the Master of Professional Studies in Analytics program. In addition to teaching, she focuses on expanding Northeastern’s collaborations with industry partners in analytics and digital research and supports the innovation and growth of analytics programs at the university’s West Coast campuses.

Dr. Welsh worked for 25 years at the intersection of big data and media, founding two data-driven start-ups—Integrated Media Measurement Inc. and Garageband.com—and serving as a Media Research Scientist at Google. Most recently, she was executive vice president, data science, for The Nielsen Company, designing and running a global data sharing program. She has published numerous articles and a book on data collection and privacy.

An award-winning video game designer and a private pilot, Dr. Welsh is executive director of the nonprofit Foundation for Scholarly Culture and serves on the board of Raising a Reader, a national literacy/family engagement program. She lives in California and teaches in San Jose, CA, and online.

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