Marcelo Guerra Hahn

ECE Northeastern Associate Teaching Professor Roi Yehoshua, PhD recently published “Machine Learning Foundations, Volume 1: Supervised Learning.” The book aims to help readers master the key concepts of supervised machine learning, implement the full supervised learning pipeline, understand key learning tasks, implement foundational algorithms from scratch, gain hands-on experience with industry-standard tools, refine and optimize their models using various techniques, work with diverse data types, and address real-world challenges. 💡 Learn more → https://lnkd.in/e_aTCXfC More on Roi Yehoshua → https://lnkd.in/ehpaP8Xs #NUCOE #NortheasternUniversity #NUECE #EngineeredForSuccess #Engineering #COE #MachineLearning

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The Center for Artificial Intelligence Innovation at the National Center for Supercomputing Applications is hosting a Lunch and Learn session for Faculty and Staff at the University of Illinois. Professor Abdussalam Alawini from the Seibel School of Computing and Data Science is speaking on Agentic AI for Educators: Practical Teaching Strategies That Support Learning. His session will feature CAII’s Illinois.chat tool. (https://uiuc.chat/) Abstract: Agentic AI for Educators: Practical Teaching Strategies That Support Learning Generative and agentic AI systems are rapidly reshaping how educators design courses, support students, and manage teaching workflows. This session presents a set of practical, evidence-based use cases demonstrating how instructors can meaningfully incorporate AI into their teaching while maintaining academic rigor and pedagogical intentionality. Drawing on real examples from database systems, engineering, and computing education at Illinois, the talk highlights five high-impact applications: preparing new lectures, designing curriculum for emerging topics, conducting efficient literature reviews, creating simulations and visual aids, and evaluating/strengthening assessment quality. The session focuses on actionable strategies, guardrails for responsible use, and ways AI can enhance, not replace, expert teaching. For more details - click below https://lnkd.in/gmzuMs-G Sharing for Faculty and Staff University of Illinois Urbana-Champaign National Center for Supercomputing Applications Siebel School of Computing and Data Science The Grainger College of Engineering Carl R. Woese Institute for Genomic Biology Beckman Institute at Illinois Interdisciplinary Health Sciences Institute at the University of Illinois Illinois ECE

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Our paper "Teachers’ Perspective on Software Testing Education" was recently accepted in ACM Transactions in Computing Engineering (TOCE, Q1) 🥳🥳 available here: https://lnkd.in/dEiQG7xe In this work, we analyze the characteristics, practices, tools, and challenges of software testing courses in higher education, from the perspective of educators, and to assess the integration of recent pedagogical approaches in software testing education. Joint work with Anna Rita Fasolino, Beatriz Marín, Tanja E.J. Vos, Ana Paiva, Felix Cammaerts, Monique Snoeck, Mehrdad Saadatmand, and Porfirio Tramontana as part of the ENACTEST Project.

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🎭 A Persian Satire on Hiring — and the Tests That Are Never Written Down I recently watched a short Persian satirical video about a job interview. It’s humorous on the surface, but underneath, it delivers a sharp critique of how we evaluate people — and how often we overlook the most important signals. For non-Persian speakers, here’s the setup: There are three people in the scene: - The interviewer - The candidate - An older employee who has been with the organization for a long time The interview is presented as the final stage of evaluation. The interviewer emphasizes discipline, precision, and attention to detail. The candidate confidently claims she meets these standards. As the scene unfolds: - The candidate arrives very late - Tension increases - Pressure builds But none of this is the real test. The real test is about power — and silence At a certain point, the interviewer begins behaving harshly and disrespectfully toward the older employee — someone with less power in the room. The candidate notices. And instead of staying silent or trying to “play it safe,” she reacts. This moment carries a powerful message: 🔹 Remaining silent when someone abuses power is not neutrality — it is participation. Silence, in these moments, allows harmful behavior to normalize and spread. 🔹 Authority does not justify humiliation. Leveraging position or power to mistreat those under one’s command is a failure of leadership, not a demonstration of strength. 🔹 Ethical responsibility doesn’t start after hiring — it starts during observation. What we tolerate during interviews often becomes the culture we inherit later. What this video truly reveals: 🔹 Interviews are always two-way evaluations You are not only being assessed — you are also assessing the environment and the values behind it. 🔹 How leaders treat those with less power defines the culture Not how they treat peers or superiors — but those who cannot push back. 🔹 Discipline without humanity turns into control High standards matter. But without respect, they become tools of fear. 🔹 The strongest candidates don’t just perform — they protect their values Sometimes the right choice is not to “pass” an interview, but to refuse to normalize harmful behavior. A deeper layer worth reflecting on: The way we evaluate people is deeply shaped by the culture and reasoning of the society they come from. Culture plays a decisive role in shaping behavior. In authoritarian systems, people often learn that silence is safer than honesty. In free and democratic societies, individuals are more able to speak up without fear. This is why: Behavior without context is an incomplete measure of character. People adapt to the systems they live in — and judging them without understanding that context leads to false conclusions. The message is serious. In moments where power is misused, do we stay silent — or do we choose to speak? https://lnkd.in/eM-ck4dv

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𝗜𝗿𝗮𝗻 could experience one of the fastest economic transformations of the 21st century. With nearly 90 million people, vast natural resources, a strategic geographic position, and a highly educated global diaspora, Iran holds the ingredients for a remarkable economic transformation if global collaboration and investment are fully unlocked. Several sectors could rapidly emerge as powerful engines of growth: 𝗘𝗻𝗲𝗿𝗴𝘆 (Oil, Gas & Petrochemicals) – Iran holds some of the world’s largest oil and natural gas reserves. Modernization and international partnerships could unlock enormous economic value. 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 & 𝗦𝗺𝗮𝗿𝘁 𝗖𝗶𝘁𝗶𝗲𝘀 – A new economic phase would likely trigger major investments in housing, transportation networks, ports, airports, and digital infrastructure. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 & 𝗔𝗜 𝗦𝘁𝗮𝗿𝘁𝘂𝗽𝘀 – With a young population and strong engineering culture, Iran could develop a dynamic ecosystem in AI, fintech, robotics, and digital platforms. 𝗧𝗼𝘂𝗿𝗶𝘀𝗺 & 𝗖𝘂𝗹𝘁𝘂𝗿𝗮𝗹 𝗘𝗰𝗼𝗻𝗼𝗺𝘆 – From ancient cities to diverse landscapes, Iran’s cultural heritage could attract millions of global visitors. 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴 & 𝗥𝗲𝗴𝗶𝗼𝗻𝗮𝗹 𝗧𝗿𝗮𝗱𝗲 – Positioned between Europe, Central Asia, the Middle East, and South Asia, Iran could become a major manufacturing and logistics hub. Another powerful driver of transformation could be the 𝗜𝗿𝗮𝗻𝗶𝗮𝗻 𝗱𝗶𝗮𝘀𝗽𝗼𝗿𝗮—millions of entrepreneurs, scientists, engineers, and investors bringing knowledge, capital, and global networks back into the country. But beyond resources and markets, Iran’s greatest asset has always been its 𝗽𝗲𝗼𝗽𝗹𝗲—a resilient and innovative nation shaped by one of the world’s oldest civilizations, stretching back more than 7,000 years. The question is not whether Iran has the potential. The real question is how quickly that potential can be unlocked. Which sectors do you think would grow the fastest in a future Iranian economy? #FutureEconomy #Innovation #Technology #Energy #EconomicTransformation #Iran

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I am pleased to share that our paper, “A Predictive Analytics Framework for Policy-Driven Benchmarking and Promotion of Innovation Productivity in U.S. Cities,” has been published today in IEEE Transactions on Engineering Management. The paper is led by Dr. Inam Khan (Southern Methodist University) and co-authored with an outstanding team of scholars and practitioners in innovation ecosystems and analytics, including Prof. Terrance Pohlen (University of North Texas), Prof. Gautam Das (The University of Texas at Arlington), Dr. Victor Fishman (Texas Research Alliance (TRA)), and Mr. Eric Griffin (Dallas Regional Chamber). The paper can be accessed using this link. https://lnkd.in/gjswNMSt In this study, we analyze innovation productivity across 165 U.S. metropolitan areas, identify key drivers shaping regional innovation performance, and highlight regions with strong potential to further grow and strengthen their innovation systems. We were humbled by a reviewer’s comment such as, “It’s an honor to have an opportunity to review this paper,” and by the Editor-in-Chief’s reminder in his acceptance letter that we should be proud of this accomplishment, considering the journal’s highly selective acceptance rate (5%). We are also thankful to the National Science Foundation for their support of this research under Award No. 2301952. #SMU #Lyle #Innovations #predictiveanalytics

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📢 At the International Conference on Evaluation and Assessment in Software Engineering (EASE) 2026, we will select candidate papers and award the Most Influential Paper (MIP) to papers published in 2015 and 2016. 💡 MIP awards are given to papers a decade after publication that have proven to have significant impact on the research community, industry, and broader audiences. 🎉 Thrilled to share that Professor Viktoria Gulliksen Stray and Professor Chanchal Roy will be chairing the MIP Awards for EASE 2026! 🎉 Why MIP award matters: 1️⃣ Rewards “impact over time”. A 10-year window lets the community see what actually changed practice or research. 2️⃣ Creates shared landmarks. It highlights papers that became foundations; methods, datasets, tools, or concepts others built on. 3️⃣ Signals quality to the broader ecosystem. Useful for practitioners, students, funders, and hiring/promotion committees because it’s evidence of sustained value. MIP Awards Co-Chairs of EASE 2026: • Viktoria Gulliksen Stray is a Professor at the University of Oslo, leading the Software Engineering group and serving on the Department Board, and also a senior researcher at SINTEF. Her work spans large-scale agile and now focuses on data-driven digital transformation and generative AI; she leads the Transformit project and is Executive Guest Editor for a forthcoming IST special issue on GenAI in SE. • Chanchal Roy is a Professor at the University of Saskatchewan, Co-Director of SRLab, and Director of the NSERC CREATE industry-stream program SOAR. Lead author of the widely used NiCad system, he works on clone detection, software evolution/maintenance, and software analytics, with multiple Most Influential Paper awards and strong funding and training leadership. We will post more about the award soon. #EASE2026 #MIPAwards #Research #Innovation #Awards #Community #AcademicPublishing #ScholarlyCommunication Tim Storer University of Glasgow Edinburgh Napier University

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Higher education is entering its AI era, and leadership matters more than ever. Institutions that take a strategic, responsible approach today will define the next decade of student success and operational excellence. I’m sharing this guide on how campuses are building AI-ready foundations across leadership, learning, and operations. If AI is on your campus agenda, this is a must-read: https://lnkd.in/gH4astXt #HigherEd #AI #Innovation #CampusTransformation

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Education is on the edge of a profound transformation. With AI evolving from passive tools into active, agentic partners, learning will no longer be confined to classrooms, fixed curricula, or one-size-fits-all paths. AI will adapt in real time to each learner, design personalized challenges, simulate complex worlds, and support teachers as intelligent co-creators rather than replacements. Yet this future also raises critical concerns: if students rely on AI without engaging their own thinking, we risk weakening creativity, deep understanding, and intellectual independence. The challenge ahead is not whether AI belongs in education, but how we integrate it responsibly—ensuring it amplifies human intelligence rather than replaces it, and that learners continue to think, question, and reason, not merely consume answers.

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My conference paper has been accepted and published. Title: A Framework for Persian Sentiment Analysis on Social Media Using Deep Learning Models The work proposes a low-cost hybrid framework combining ParsBERT embeddings with SVM to enhance classical ML models for 3-class sentiment classification on Persian social media texts. Results on SentiPers dataset: 79.07% accuracy and 0.7322 macro F1-score (up to 9.25% improvement over baselines). This approach is efficient for real-time applications in low-resource Persian NLP. Open to feedback and collaborations. #PersianNLP #SentimentAnalysis #MachineLearning #DeepLearning #ParsBERT #NLP (PDF/link coming soon – proceedings not yet online)

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