At the Open Institute of Technology (OPIT), we have a simple goal – to provide high-quality yet accessible education in the technology field. But for our courses to be high-quality, the professors behind them must be equally exceptional.

And they absolutely are.

The OPIT professors are paragons of expertise and passion. Each professor has been handpicked for their profound understanding of technology, coupled with extensive academic achievements and industry experience. That’s why these architects of knowledge bring both theoretical depth and real-world insights into every class at OPIT.

So, what better way to get to know our world-class OPIT faculty than to hear their thoughts on the topics they’re passionate about? In this article, you’ll read what five of our top-notch faculty members have to say about tech innovations transforming the world. Of course, you’ll also get a quick overview of other members of our inspiring faculty shaping the next generation of leaders in technology and digital space.

The OPIT Faculty at a Glance

Before diving into our faculty members’ fascinating biographies and insights, let’s take a moment to appreciate the diverse expertise that forms the backbone of OPIT.

Our faculty is a mosaic of over 30 accomplished professionals from all over the world, each bringing a unique perspective to the table.

And that’s the beauty of online learning. How else would you be able to connect with experts spanning the globe, all from the comfort of your own home?

Our inspiring faculty comes from over 15 countries and four continents. The U.S., Canada, Brazil, Lebanon, Germany, France, India and Italy are just some of the nations represented. This collage of diverse backgrounds (and experiences) ensures that your education at OPIT transcends geographical boundaries, offering a truly global perspective on technology.

Meet the OPIT Faculty at the Forefront of Technology

Now that you have a better idea of the diverse expertise within our faculty, let’s introduce you to the brilliant minds at the forefront of technology education at OPIT. This time, we asked five of our esteemed faculty members how recent tech innovations have transformed the world. Here are their answers.

Raj Dasgupta, Ph.D.

Professor Raj Dasgupta is an impressive individual in every regard. He’s currently a research scientist at the U.S. Naval Research Laboratory after teaching computer science for almost 18 years at the University of Nebraska. His research projects have been funded by the U.S. Department of Defense and NASA, and he has earned a Ph.D. in Computer Engineering from the University of California. Talk about a multifaceted professional!

At OPIT, Professor Dasgupta teaches Data Structures and Algorithms, Reinforcement Learning, and Introduction to Artificial Intelligence in the Bachelor of Science in Modern Computer Science program. The last subject is also a part of the Bachelor of Science in Digital Business program. He also teaches Machine Learning in the Responsible Artificial Intelligence program.

When asked about the transformative impact of tech innovations, Professor Dasgupta singled out the brain-computer interface (BCI) system as the technology that fascinates him the most. He explains, “We have been able to link the human thought, the human brain, with these assistive devices.” This connection means that these BCI systems can extract (and use) any thoughts from people who can’t speak for themselves or express their thoughts. As Professor Dasgupta puts it, all it takes is for them to “just think what they want to do.”

 

Santhosh Suresh, Ph.D.

With giants like PayPal, Meta, and McKinsey & Company on his resume at a young age, it’s evident that Professor Santhosh Suresh possesses remarkable expertise in business problem-solving. Business Problem Solving is precisely the subject he teaches at OPIT’s Master of Science in Applied Data Science & AI and Applied Digital Business programs.

So, it’s no wonder his answer to our question also focuses on solving problems, this time with technology. He rejoices at the fact that the ultimate knowledge is no longer reserved only for the rich and privileged. Thanks to advanced data science-based algorithms, “the efficiency of airlines or railroads or how we do operations in the surgery room has gone up exponentially, and that is improving the quality of lives of millions if not billions of people.”

Paco Awissi, MBA

A data science leader. An analytics expert. A machine learning practitioner. These are just some of the impressive attributes that define Professor Paco Awissi’s career. These flattering attributes also landed him the coveted positions of Vice President of Data and Reporting at Morgan Stanley, Lead Instructor at McGill University School of Continuing Studies, and, of course, Professor at OPIT.

Professor Awissi teaches three courses in our Master of Science in Applied Data Science & AI program – Project Management, Applications in Data Science and Artificial Intelligence (Part 2), and Business Communication.

When asked about new tech advancements, he also focuses on AI, explaining that the technology is revolutionizing “risk management, fraud detection, and personalized financial services.” Professor Awissi adds that AI is also used in “algorithmic trading, credit scoring, and automating customer service through chatbots, which improves the efficiency and inclusiveness of financial services.”

Filip Biały, Ph.D.

Professor Filip Biały comes from Poland, where he has taught at the Adam Mickiewicz University in Poznan for over 15 years. When it comes to Professor Biały, it’s hard to tell whether he has more education or experience in computer science and artificial intelligence.

However, his main goal is to understand the consequences of AI for democratic politics, which is why he also emphasizes that the negative impact of digital technologies shouldn’t be overlooked. As for the positive sides of this life-changing technology, Professor Biały says that it is “essential in improving the efficiency of business processes and advancing research, for example, in discovering new drugs.”

At OPIT, you can listen to Professor Biały’s fascinating insights in the Bachelor of Science in Modern Computer Science and Digital Business programs (ICT Fundamentals, Web Development, and Ethics of Computer Science & AI courses).

Tom Vazdar, Ph.D.

Like his colleague, Professor Tom Vazdar also primarily focuses on the negative implications of technological advancements. As a current AI and Cybersecurity Strategist of a boutique consulting firm and the former Chief Security Officer at Erste Bank Croatia, he knows just how important cybersecurity is and how dangerous technological progress can be without adequate safeguards.

That’s why he’s the expert OPIT put in charge of its latest Master of Science program – Enterprise Security. OPIT has worked closely with Professor Vazdar to develop this program and equip students with the most in-demand technical, managerial, and soft skills.

Professor Vazdar also teaches Introduction to Computer Security in the Modern Computer Science and Digital Business programs, as well as Behavioral Cybersecurity in the abovementioned Enterprise
Security program.

Meet More OPIT Faculty Members Helping You Succeed

If you apply to OPIT, you’ll get the unique chance to learn from the very best from all over the world. But until then, you can hear more intriguing perspectives from our faculty members. Visit the Faculty section of our website to get a sneak peek of the incredible expertise and global perspectives that shape OPIT.

The professors at OPIT have either taught at prestigious universities or have a long and impressive history in the industry. For the former, our professor’s biographies are adorned with institutions like the University of Copenhagen, the University of Rome, the Italian Institute of Technology, and the University of Stuttgart.

As for the latter, Microsoft, Meta, Symantec, and UBS are just some of the world-famous companies where our faculty members have left a lasting impact. The same goes for institutions like the Europol, the European Parliament, and the European Investment Bank (EIB).

Though our faculty members come from different corners of the world, they all share a common goal – a relentless pursuit of knowledge. By learning from these top-notch professionals, you’ll get an insight into decades of cutting-edge research, industry collaboration, and real-world experience. This knowledge and the skills you acquire at OPIT will help you play a leading role in the technological revolution, just like your professors.

Related posts

CCN: Australia Tightens Crypto Oversight as Exchanges Expand, Testing Industry’s Appetite for Regulation
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Mar 31, 2025 3 min read

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  • CCN, published on March 29th, 2025

By Kurt Robson

Over the past few months, Australia’s crypto industry has undergone a rapid transformation following the government’s proposal to establish a stricter set of digital asset regulations.

A series of recent enforcement measures and exchange launches highlight the growing maturation of Australia’s crypto landscape.

Experts remain divided on how the new rules will impact the country’s burgeoning digital asset industry.

New Crypto Regulation

On March 21, the Treasury Department said that crypto exchanges and custody services will now be classified under similar rules as other financial services in the country.

“Our legislative reforms will extend existing financial services laws to key digital asset platforms, but not to all of the digital asset ecosystem,” the Treasury said in a statement.

The rules impose similar regulations as other financial services in the country, such as obtaining a financial license, meeting minimum capital requirements, and safeguarding customer assets.

The proposal comes as Australian Prime Minister Anthony Albanese’s center-left Labor government prepares for a federal election on May 17.

Australia’s opposition party, led by Peter Dutton, has also vowed to make crypto regulation a top priority of the government’s agenda if it wins.

Australia’s Crypto Growth

Triple-A data shows that 9.6% of Australians already own digital assets, with some experts believing new rules will push further adoption.

Europe’s largest crypto exchange, WhiteBIT, announced it was entering the Australian market on Wednesday, March 26.

The company said that Australia was “an attractive landscape for crypto businesses” despite its complexity.

In March, Australia’s Swyftx announced it was acquiring New Zealand’s largest cryptocurrency exchange for an undisclosed sum.

According to the parties, the merger will create the second-largest platform in Australia by trading volume.

“Australia’s new regulatory framework is akin to rolling out the welcome mat for cryptocurrency exchanges,” Alexander Jader, professor of Digital Business at the Open Institute of Technology, told CCN.

“The clarity provided by these regulations is set to attract a wave of new entrants,” he added.

Jader said regulatory clarity was “the lifeblood of innovation.” He added that the new laws can expect an uptick “in both local and international exchanges looking to establish a foothold in the market.”

However, Zoe Wyatt, partner and head of Web3 and Disruptive Technology at Andersen LLP, believes that while the new rules will benefit more extensive exchanges looking for more precise guidelines, they will not “suddenly turn Australia into a global crypto hub.”

“The Web3 community is still largely looking to the U.S. in anticipation of a more crypto-friendly stance from the Trump administration,” Wyatt added.

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Agenda Digitale: Generative AI in the Enterprise – A Guide to Conscious and Strategic Use
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Mar 31, 2025 6 min read

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By Zorina Alliata, Professor of Responsible Artificial Intelligence e Digital Business & Innovation at OPIT – Open Institute of Technology

Integrating generative AI into your business means innovating, but also managing risks. Here’s how to choose the right approach to get value

The adoption of generative AI in the enterprise is growing rapidly, bringing innovation to decision-making, creativity and operations. However, to fully exploit its potential, it is essential to define clear objectives and adopt strategies that balance benefits and risks.

Over the course of my career, I have been fortunate to experience firsthand some major technological revolutions – from the internet boom to the “renaissance” of artificial intelligence a decade ago with machine learning.

However, I have never seen such a rapid rate of adoption as the one we are experiencing now, thanks to generative AI. Although this type of AI is not yet perfect and presents significant risks – such as so-called “hallucinations” or the possibility of generating toxic content – ​​it fills a real need, both for people and for companies, generating a concrete impact on communication, creativity and decision-making processes.

Defining the Goals of Generative AI in the Enterprise

When we talk about AI, we must first ask ourselves what problems we really want to solve. As a teacher and consultant, I have always supported the importance of starting from the specific context of a company and its concrete objectives, without inventing solutions that are as “smart” as they are useless.

AI is a formidable tool to support different processes: from decision-making to optimizing operations or developing more accurate predictive analyses. But to have a significant impact on the business, you need to choose carefully which task to entrust it with, making sure that the solution also respects the security and privacy needs of your customers .

Understanding Generative AI to Adopt It Effectively

A widespread risk, in fact, is that of being guided by enthusiasm and deploying sophisticated technology where it is not really needed. For example, designing a system of reviews and recommendations for films requires a certain level of attention and consumer protection, but it is very different from an X-ray reading service to diagnose the presence of a tumor. In the second case, there is a huge ethical and medical risk at stake: it is necessary to adapt the design, control measures and governance of the AI ​​to the sensitivity of the context in which it will be used.

The fact that generative AI is spreading so rapidly is a sign of its potential and, at the same time, a call for caution. This technology manages to amaze anyone who tries it: it drafts documents in a few seconds, summarizes or explains complex concepts, manages the processing of extremely complex data. It turns into a trusted assistant that, on the one hand, saves hours of work and, on the other, fosters creativity with unexpected suggestions or solutions.

Yet, it should not be forgotten that these systems can generate “hallucinated” content (i.e., completely incorrect), or show bias or linguistic toxicity where the starting data is not sufficient or adequately “clean”. Furthermore, working with AI models at scale is not at all trivial: many start-ups and entrepreneurs initially try a successful idea, but struggle to implement it on an infrastructure capable of supporting real workloads, with adequate governance measures and risk management strategies. It is crucial to adopt consolidated best practices, structure competent teams, define a solid operating model and a continuous maintenance plan for the system.

The Role of Generative AI in Supporting Business Decisions

One aspect that I find particularly interesting is the support that AI offers to business decisions. Algorithms can analyze a huge amount of data, simulating multiple scenarios and identifying patterns that are elusive to the human eye. This allows to mitigate biases and distortions – typical of exclusively human decision-making processes – and to predict risks and opportunities with greater objectivity.

At the same time, I believe that human intuition must remain key: data and numerical projections offer a starting point, but context, ethics and sensitivity towards collaborators and society remain elements of human relevance. The right balance between algorithmic analysis and strategic vision is the cornerstone of a responsible adoption of AI.

Industries Where Generative AI Is Transforming Business

As a professor of Responsible Artificial Intelligence and Digital Business & Innovation, I often see how some sectors are adopting AI extremely quickly. Many industries are already transforming rapidly. The financial sector, for example, has always been a pioneer in adopting new technologies: risk analysis, fraud prevention, algorithmic trading, and complex document management are areas where generative AI is proving to be very effective.

Healthcare and life sciences are taking advantage of AI advances in drug discovery, advanced diagnostics, and the analysis of large amounts of clinical data. Sectors such as retail, logistics, and education are also adopting AI to improve their processes and offer more personalized experiences. In light of this, I would say that no industry will be completely excluded from the changes: even “humanistic” professions, such as those related to medical care or psychological counseling, will be able to benefit from it as support, without AI completely replacing the relational and care component.

Integrating Generative AI into the Enterprise: Best Practices and Risk Management

A growing trend is the creation of specialized AI services AI-as-a-Service. These are based on large language models but are tailored to specific functionalities (writing, code checking, multimedia content production, research support, etc.). I personally use various AI-as-a-Service tools every day, deriving benefits from them for both teaching and research. I find this model particularly advantageous for small and medium-sized businesses, which can thus adopt AI solutions without having to invest heavily in infrastructure and specialized talent that are difficult to find.

Of course, adopting AI technologies requires companies to adopt a well-structured risk management strategy, covering key areas such as data protection, fairness and lack of bias in algorithms, transparency towards customers, protection of workers, definition of clear responsibilities regarding automated decisions and, last but not least, attention to environmental impact. Each AI model, especially if trained on huge amounts of data, can require significant energy consumption.

Furthermore, when we talk about generative AI and conversational models , we add concerns about possible inappropriate or harmful responses (so-called “hallucinations”), which must be managed by implementing filters, quality control and continuous monitoring processes. In other words, although AI can have disruptive and positive effects, the ultimate responsibility remains with humans and the companies that use it.

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