DevX AI – Powered by Geeky Solutions and North South University: A Full-Day AI Event: For the Engineers, By the Engineers

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- Plot: 15, Block: B, Bashundhara Residential Area, Dhaka-1229, Bangladesh
- Dhaka, Dhaka
- Bangladesh
- Building: North South University
- Room Number: Syndicate Hall
Speakers
Professor Dr. Abdul Hannan Chowdhury of North South University
Delivered Opening Remarks
He emphasized the importance of strengthening academia–industry collaboration to foster innovation and accelerate national development through emerging technologies like AI and ML.
Biography:
Vice Chancellor, North South University
Prof. Abdul Hannan Chowdhury is the Vice Chancellor of North South University. He is known for his contributions to higher education leadership in Bangladesh, emphasizing research-driven learning and industrial cooperation to enhance innovation capacity at the university level.
Professor Dr. Shazzad Hosain of SEPS, North South University
Delivered Keynote Remarks
He discussed how academic institutions must equip future engineers with hands-on AI experience and foster partnerships with the tech industry to ensure graduates are job-ready for emerging AI markets.
Biography:
Dean, School of Engineering & Physical Sciences (SEPS), North South University
Prof. Dr. Shazzad Hosain serves as the Dean of SEPS at NSU. With a background in electrical and computer engineering, his leadership focuses on integrating modern technologies—including AI, IoT, and data science—into academic programs to bridge the industry–academia gap
Md Arifuzzaman Chowdhury of Brain Station 23
Bengali TTS at a Crossroads: Obstacles and Pathways to Success
He discussed the development of Bengali Text-to-Speech (TTS) systems, the challenges of creating natural-sounding speech in Bengali, and how AI models are being fine-tuned to better understand the language’s intonations and nuances.
Biography:
Lead Software Engineer, Brain Station 23
Md Arifuzzaman Chowdhury is a Bangladeshi software engineer specializing in speech processing and machine learning. As Lead Software Engineer at Brain Station 23, he contributes to AI-based applications, particularly in Natural Language Processing (NLP) and speech technologies. His work focuses on developing scalable AI solutions for multilingual environments.
Abu Hasnat Abdullah of Cefalo
“Industrial Time Series Under the Microscope: Detecting Anomalies Before They Fail You”
He explained how AI systems can monitor industrial data streams to detect anomalies in real time, enabling predictive maintenance and preventing costly downtime in manufacturing and energy sectors.
Biography:
Senior Software Engineer, Cefalo
Abu Hasnat Abdullah is a Senior Software Engineer at Cefalo, with expertise in AI-based automation and data analytics. His technical background includes implementing machine learning algorithms in production-grade systems, particularly for industrial data monitoring and predictive systems.
Parabal Kanti Deb Sarker of Cefalo
“Industrial Time Series Under the Microscope: Detecting Anomalies Before They Fail You”
He highlighted real-world implementations of industrial anomaly detection using time-series AI models to ensure system reliability and performance optimization.
Biography:
Parabal Kanti Deb Sarker serves as Engineering Manager at Cefalo, where he oversees AI and software development teams. With years of experience in software architecture and project leadership, his focus is on bridging machine learning innovations with industrial-grade software applications.
Vivasoft Team of Vivasoft
“Beyond Chatbots: The Rise of Conversational Intelligence”
The Vivasoft team demonstrated AI-driven conversational intelligence systems capable of conducting dynamic interviews, analyzing speech tone, and assessing candidates’ communication skills for smarter recruitment processes.
Biography:
Vivasoft Limited is a leading Bangladeshi software firm specializing in enterprise software, AI, and cloud solutions. The AI division focuses on developing intelligent systems that combine Natural Language Processing (NLP) and behavioral analytics to revolutionize communication and hiring technologies.
Inument Team of Inument
“From Pixels to Polygons: Deep Learning for Complex Image Understanding”
The team demonstrated how deep learning techniques can interpret and digitize complex engineering blueprints and circuit layouts. Their approach automates visual data conversion—reducing manual work and improving design efficiency.
Biography:
Inument is an AI innovation company focusing on computer vision and automation. As a collaborator of Geeky Solutions, it develops advanced visual interpretation tools for industrial and engineering applications.
Dr. Nabeel Mohammed of North South University
“Introduction to Machine Learning and Applications with Problem Solving”
He introduced the fundamentals of machine learning, explaining how algorithms learn from data and how such systems power everyday tools—from recommendation systems to fraud detection. He conducted practical exercises demonstrating ML problem-solving approaches.
Biography:
Associate Professor, Department of Electrical and Computer Engineering, North South University
Dr. Nabeel Mohammed holds a Ph.D. from Monash University, Australia, and is an Associate Professor at NSU. His research interests include computer vision, natural language processing, and intelligent systems. He has published multiple papers in AI and machine learning, focusing on applied AI for automation and industrial intelligence.
Dr. Mohammad Abdul Matin
Biography:
PhD (Newcastle University, UK)
MSc Engg. (Loughborough University, UK)
BSc Engg. (BUET)
Dr. Mohammad A. Matin is a Professor in the Department of Electrical and Computer Engineering at North South University (NSU), where he has served since 2008. He previously worked at Universiti Teknologi Brunei (UTB) as an Associate Professor (2012–2017). Dr. Matin earned his B.Sc. from BUET, M.Sc. from Loughborough University (UK), and Ph.D. from Newcastle University (UK). He has over 170 publications indexed in Scopus, Web of Science, and Google Scholar, along with 18 authored or edited academic books and 22 book chapters.
He has delivered invited talks internationally, served on technical committees for over 50 conferences, and is on editorial boards of journals including IEEE Communications Magazine and IET Wireless Sensor Systems. A Senior Member of IEEE and IEEE ComSoc, he was the Founding Counselor of IEEE NSU Student Branch and Secretary of the IEEE ComSoc Bangladesh Chapter. His accolades include the Commonwealth Scholarship, ORS Award (UK), and the Best Student Prize from Loughborough University. His research focuses on UWB communication, wireless sensor networks, cognitive radio, EM modeling, and antenna engineering.
Dr. Riasat Khan
Biography:
Ph.D. (Electrical and Computer Engineering), New Mexico State University, USA
MSc (Electrical and Computer Engineering), New Mexico State University, USA
BSc (Electrical & Electronic Engineering), Islamic University of Technology (IUT), Bangladesh
Dr. Riasat Khan is an Associate Professor in the Department of Electrical and Computer Engineering at North South University, Dhaka, Bangladesh. He received his B.Sc. in Electrical and Electronic Engineering from the Islamic University of Technology (IUT), Bangladesh, and began his academic career as a Lecturer at Green University of Bangladesh. He later earned his M.Sc. and Ph.D. in Electrical and Computer Engineering from New Mexico State University, USA, where he also served as a Graduate Teaching Assistant and received the Outstanding Teaching Assistant Award. At NSU, he served as the Undergraduate Program Coordinator (EEE/ETE) from 2023 to 2024. He is actively involved in the BAETE accreditation process and has completed BAETE Evaluator Training (Tier-1). His research interests include Artificial Intelligence, Smart Systems and IoT.
Saif Ahmed
Biography:
Lecturer
Dept. of ECE, North South University
Branch Counselor, IEEE NSU Student Branch
Treasurer, IEEE BDS IAS Chapter