Bushra Naz | Deep learning | Best Researcher Award

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Dr. Bushra Naz | Deep learning | Best Researcher Award

Associate professor at Mehran University of Engineering and Technology| Pakistan

Dr. Bushra Naz is an accomplished academic and researcher with expertise in artificial intelligence, deep learning, image processing, hyperspectral image classification, and pattern recognition. Serving as an Associate Professor and PhD supervisor, she has made significant contributions to advancing knowledge through impactful research and dedicated mentorship. Her funded projects include innovative solutions in speech emotion recognition, assistive technologies for visually impaired individuals, water quality monitoring, and sustainable agriculture, reflecting a strong focus on societal benefit. She has published widely, reviewed for leading international journals, and actively participated in global conferences as a session chair and committee member. Her achievements are further recognized through prestigious scholarships, research fellowships, and honors that demonstrate her academic excellence and leadership. With a commitment to bridging theory and practice, Dr. Naz continues to drive interdisciplinary collaborations and inspire future researchers, positioning herself as a leader in advancing AI-driven solutions for real-world challenges.

Professional Profile 

Google Scholar

Education

Dr. Bushra Naz has a strong academic foundation in computer systems and engineering, beginning with a bachelor’s degree in Computer Systems Engineering, followed by a master’s degree in Communication Systems and Networks. She pursued her doctoral studies at Nanjing University of Science and Technology, China, where she completed a PhD in Computer Science and Engineering with a research focus on machine learning and hyperspectral image classification. Her doctoral thesis explored advanced elastic-net representation methods for image classification, demonstrating her early commitment to innovative AI-driven solutions. She also earned international recognition during her doctoral journey, supported by prestigious scholarships and fellowships, which allowed her to gain global exposure and strengthen her research expertise. With a solid academic trajectory rooted in both national and international institutions, Dr. Naz has combined technical depth with interdisciplinary knowledge, equipping her with the skills to pursue cutting-edge research while training the next generation of scholars and professionals.

Experience

Dr. Bushra Naz brings extensive academic and research experience spanning over a decade. She began her professional journey as a laboratory lecturer, progressively advancing to lecturer, assistant professor, and currently serves as an associate professor in the Department of Computer Systems Engineering at Mehran University of Engineering and Technology, Jamshoro. In these roles, she has taught a diverse range of subjects including microprocessors, operating systems, digital image processing, machine learning, deep learning, and artificial intelligence, shaping the technical skills of numerous students. Beyond teaching, she has taken on leadership roles in departmental committees, project supervision, curriculum review, and outcome-based education implementation. Her responsibilities also include supervising undergraduate, master’s, and doctoral research projects, many of which align with pressing technological and societal challenges. Through her experience, she has built a reputation as a dedicated educator, innovative researcher, and academic leader who seamlessly integrates research and teaching to drive meaningful outcomes.

Research Focus

Dr. Bushra Naz’s research focus lies in the application of artificial intelligence and machine learning to solve complex real-world problems. Her expertise covers deep learning, neural networks, hyperspectral imaging, image classification, object detection, and pattern recognition. She has conducted pioneering research in spectral-spatial methods for image classification, advancing techniques in optimization and sparse representation. Her projects span diverse domains, including speech emotion recognition, augmented reality-based navigation for the visually impaired, IoT-driven water quality monitoring, crop sensing for sustainable agriculture, and accident detection systems. This interdisciplinary approach highlights her commitment to applying AI solutions for societal impact, sustainability, and technological innovation. In addition, she actively contributes as a reviewer for high-impact journals and participates in international conferences as a session chair, strengthening global research dialogue. By integrating technical rigor with practical application, Dr. Naz continues to expand the frontiers of AI research while addressing challenges that directly benefit communities and industries.

Award and Honor

Dr. Bushra Naz’s academic excellence and research contributions have been recognized through numerous awards and honors at national and international levels. She received the prestigious China Scholarship Council award for her PhD studies and was further distinguished with the ELITE Scholarship as the Best Foreign Student during her doctoral program. Her excellence in research was acknowledged with honor certificates and rewards for her publications in IEEE journals. Earlier in her career, she earned the Higher Education Commission of Pakistan’s fully funded scholarship for her master’s studies and received merit-based scholarships during her undergraduate years. She also secured the UNESCO/People’s Republic of China Co-Sponsored Fellowship as a senior research scholar, reflecting her growing international recognition. These accolades not only highlight her academic dedication but also underscore her ability to compete successfully at global platforms. Collectively, her awards showcase her talent, perseverance, and impactful contributions to engineering and computer science research.

Publication Top Notes

  • Title: Sustainable Higher Education Reform Quality Assessment Using SWOT Analysis with Integration of AHP and Entropy Models: A Case Study of Morocco
    Year: 2021
    Citations: 64

  • Title: Spatial-Hessian-feature-guided variational model for pan-sharpening
    Year: 2015
    Citations: 50

  • Title: Fast superpixel based subspace low rank learning method for hyperspectral denoising
    Year: 2018
    Citations: 44

  • Title: Bilayer elastic net regression model for supervised spectral-spatial hyperspectral image classification
    Year: 2016
    Citations: 28

  • Title: Hybrid LSTM Self-Attention Mechanism Model for Forecasting the Reform of Scientific Research in Morocco
    Year: 2021
    Citations: 25

  • Title: Onion Crop Monitoring with Multispectral Imagery using Deep Neural Network
    Year: 2021
    Citations: 14

  • Title: A machine learning framework for major depressive disorder (MDD) detection using non-invasive EEG signals
    Year: 2025
    Citations: 13

  • Title: Sustainable higher education reform quality assessment using SWOT Analysis with integration of AHP and Entropy models: A case study of Morocco
    Year: 2021
    Citations: 13

  • Title: Local and nonlocal context-aware elastic net representation-based classification for hyperspectral images
    Year: 2017
    Citations: 8

  • Title: Hyperspectral image classification via Elastic Net Regression and bilateral filtering
    Year: 2015
    Citations: 8

Conclusion

Dr. Bushra Naz has established herself as a distinguished researcher and academic leader with a significant impact in the fields of artificial intelligence, machine learning, and hyperspectral image analysis. Her extensive research portfolio demonstrates a balance of theoretical innovation and practical application, addressing societal challenges such as sustainable agriculture, water quality monitoring, assistive technologies, and mental health detection. With a strong record of high-impact publications, international collaborations, research supervision, and active participation in conferences and editorial roles, she has consistently contributed to advancing knowledge and mentoring future researchers. Her achievements are further reinforced by prestigious awards, fellowships, and funded projects that recognize her scholarly excellence and leadership. Overall, Dr. Naz exemplifies the qualities of a visionary researcher—innovative, dedicated, and socially responsible—making her a highly deserving candidate for recognition through the Best Researcher Award.

Mian Usman Sattar | Artificial Intelligence | Best Researcher Award

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Dr. Mian Usman Sattar | Artificial Intelligence | Best Researcher Award

Lecturer at University of Derby, United Kingdom

Dr. Mian Usman Sattar is an accomplished academic and researcher specializing in information systems, business intelligence, and data analytics, with extensive teaching and leadership experience across universities in the United Kingdom, Malaysia, and Pakistan. He has led innovative academic programs, introduced contemporary specialization tracks, and integrated emerging technologies into curricula. His research achievements are supported by multiple prestigious national and international grants, reflecting both expertise and the trust of funding bodies. As a program leader, department chair, and cluster head, he has demonstrated strong leadership in shaping academic directions and fostering institutional collaborations. His expertise spans artificial intelligence for business, data-driven marketing, enterprise systems, and big data analytics, complemented by a track record of academic honors and recognition as an approved PhD supervisor. Through his global exposure, research contributions, and commitment to advancing knowledge, Dr. Sattar has significantly impacted academia and industry, making him a distinguished figure in his field.

Professional Profile 

Google Scholar | Scopus Profile

Education

Dr Mian Usman Sattar holds a diverse and robust academic background, reflecting his dedication to continuous learning and specialization in technology and business domains. He earned his PhD in Informatics from the Malaysian University of Science and Technology, focusing on advanced aspects of information systems and analytics. His postgraduate qualifications include an MS in IT Management from the University of Sunderland, postgraduate diplomas in computer science and communication & computer technology, and an MSc in Computer Science from Government College University, Lahore. His academic progression demonstrates a steady advancement from foundational computer science knowledge to applied IT management and specialized research in informatics. Currently, he is pursuing a Postgraduate Certificate leading to FHEA from the University of Derby, reflecting his commitment to enhancing teaching and academic leadership. This diverse educational portfolio has equipped him with a strong blend of technical expertise, managerial insight, and pedagogical skills essential for his academic and research pursuits.

Experience

Dr. Mian Usman Sattar has an extensive career spanning academia, research leadership, and industry roles in the United Kingdom, Pakistan, and Malaysia. He is currently a Lecturer and Program Leader in Information Technology at the University of Derby, where he oversees academic programs and fosters student engagement. His previous academic roles include Assistant Professor positions at Beaconhouse National University and the University of Management and Technology, where he led academic clusters, introduced new specialization tracks, and managed industry collaborations. Beyond academia, he has held managerial and technical roles such as Deputy Manager (MIS) and Assistant Network Administrator, as well as leadership in training and consultancy for information security. Throughout his career, he has taught a wide range of subjects including business analytics, artificial intelligence for business, enterprise resource planning, and data-driven marketing. His experience reflects a blend of teaching, research supervision, academic program development, and practical industry engagement across multiple disciplines and sectors.

Research Focus

Dr. Mian Usman Sattar’s research centers on business intelligence, data analytics, enterprise systems, and information security, with a strong emphasis on integrating disruptive technologies into organizational and educational contexts. His work explores the use of artificial intelligence, machine learning, and big data analytics to enhance business decision-making and operational efficiency. He is particularly interested in the application of data-driven strategies in marketing, enterprise resource planning, and digital transformation. His research approach is both academic and applied, aiming to bridge the gap between theory and real-world implementation. By leading and participating in funded research projects, he has contributed to advancing knowledge in areas such as analytics governance, trust in digital systems, and emerging technologies for business competitiveness. His interdisciplinary focus enables collaboration across computing, engineering, and management fields, making his research relevant to both academia and industry. This focus reflects a commitment to innovation, problem-solving, and societal impact through technology-driven solutions.

Award and Honor

Dr. Mian Usman Sattar has earned multiple prestigious awards and honors that underscore his research excellence, academic leadership, and professional contributions. He received a PhD Fellowship from the Malaysian University of Science and Technology, recognizing his academic potential and research capability. His work has been supported by competitive grants from organizations such as the Pakistan Science Foundation, Malaysia Digital Economy Corporation, Malaysia Toray Science Foundation, and TWAS-COMSTECH, totaling significant funding for technology-driven research projects. He was awarded a travel grant by the Higher Education Commission of Pakistan to present his research internationally, reflecting recognition from the national academic community. Additionally, he holds the distinction of being an HEC Approved PhD Supervisor, affirming his capability to guide doctoral-level research. These achievements demonstrate his ability to secure funding, contribute to high-impact projects, and earn recognition for his scholarly and professional excellence at both national and international levels.

Publications Top Notes

  • Title: Predicting student performance in higher educational institutions using video learning analytics and data mining techniques
    Authors: R Hasan, S Palaniappan, S Mahmood, A Abbas, KU Sarker, MU Sattar
    Year: 2020
    Citations: 236

  • Title: Effects of virtual reality training on medical students’ learning motivation and competency
    Authors: MU Sattar, S Palaniappan, A Lokman, A Hassan, N Shah, Z Riaz
    Year: 2019
    Citations: 167

  • Title: Motivating medical students using virtual reality based education
    Authors: M Sattar, S Palaniappan, A Lokman, N Shah, U Khalid, R Hasan
    Year: 2020
    Citations: 148

  • Title: Whole-genome sequencing as a first-tier diagnostic framework for rare genetic diseases
    Authors: H Nisar, B Wajid, S Shahid, F Anwar, I Wajid, A Khatoon, MU Sattar, …
    Year: 2021
    Citations: 30

  • Title: An efficient computer vision-based approach for acute lymphoblastic leukemia prediction
    Authors: A Almadhor, U Sattar, A Al Hejaili, U Ghulam Mohammad, U Tariq, …
    Year: 2022
    Citations: 26

  • Title: Validation method for digital flow meter for fuel vendors
    Authors: P Megantoro, DA Husnan, MU Sattar, A Maseleno, O Tanane
    Year: 2020
    Citations: 19

  • Title: A review: Emerging trends of big data in higher educational institutions
    Authors: R Hasan, S Palaniappan, S Mahmood, VR Naidu, A Agarwal, B Singh, …
    Year: 2020
    Citations: 17

  • Title: Design of laboratory scale fluid level measurement device based on arduino
    Authors: NF Apsari, P Megantoro, MU Sattar, A Maseleno, O Tanane
    Year: 2020
    Citations: 12

  • Title: User experience design in virtual reality medical training application
    Authors: MU Sattar, S Palaniappan, A Lokman, N Shah, Z Riaz, U Khalid
    Year: 2021
    Citations: 11

  • Title: Multi-stage intelligent smart lockdown using sir model to control covid 19
    Authors: A Ghaffar, S Alanazi, M Alruwaili, MU Sattar, W Ali, M Humayun, …
    Year: 2021
    Citations: 10

  • Title: Arduino-based digital advanced audiometer
    Authors: NH Wijaya, M Ibrahim, N Shahu, MU Sattar
    Year: 2021
    Citations: 10

  • Title: Block-chain-security advancement in medical sector for sharing medical records
    Authors: R Abid, B Aslam, M Rizwan, F Ahmad, MU Sattar
    Year: 2019
    Citations: 10

  • Title: Customer Satisfaction Affects the Customer Loyalty: Evidence from Telecommunication Sector in Pakistan
    Authors: MU Sattar, B Sattar
    Year: 2012
    Citations: 10

  • Title: eDify: Enhancing Teaching and Learning Process by Using Video Streaming Server
    Authors: R Hasan, S Palaniappan, S Mahmood, KU Sarker, MU Sattar, A Abbas, …
    Year: 2021
    Citations: 9

  • Title: Intelligent digital twin to make robot learn the assembly process through deep learning
    Authors: B Ahmad
    Year: 2021
    Citations: 9

Conclusion

The publication record of Dr. Mian Usman Sattar reflects a strong and diverse research portfolio with impactful contributions in education technology, virtual reality in medical training, artificial intelligence applications, data analytics, and biomedical research. Several of his works, particularly those on predicting student performance and virtual reality in education, have received significant citation counts, indicating strong relevance and recognition in the academic community. His collaborations span across interdisciplinary fields, integrating computing, engineering, healthcare, and business domains, which enhances the applicability and reach of his research. The steady stream of publications in reputable journals and conferences, coupled with high-impact studies, demonstrates his ability to address current challenges with innovative, technology-driven solutions. Overall, the breadth, depth, and influence of his research output position him as a noteworthy and influential scholar whose work continues to contribute meaningfully to academia and industry alike.

merve pınar | Machine Learning | Best Researcher Award

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Dr. merve pınar | Machine Learning | Best Researcher Award

Research Ass, Marmara University, Turkey

Merve Pinar is a Research Assistant in the Faculty of Technology, Computer Engineering Department at Marmara University, Turkey. She has been pursuing her doctorate since 2023 at Marmara University in the field of Computer Engineering. Her academic journey includes a postgraduate degree from the Institute for Graduate Studies in Pure and Applied Sciences (2019-2022) and an undergraduate degree from Çanakkale Onsekiz Mart University, where she studied Engineering (2009-2013). Merve’s work primarily focuses on artificial intelligence, machine learning, and their applications in various fields, especially healthcare. She is dedicated to exploring innovative solutions using deep learning and pattern recognition techniques. Her contributions to the academic community include publications in respected journals and conferences. She also actively collaborates with other researchers to advance the field.

Profile 

Education

  • Doctorate (2023-Present): Marmara University, Faculty of Technology, Computer Engineering, Turkey.
  • Postgraduate (2019-2022): Marmara University, Institute for Graduate Studies in Pure and Applied Sciences, Turkey. Dissertation: “Derinöğrenme yöntemleri kullanılarak beyin tümörü tiplerinin ve sınırlarının tahminlenmesi” (Prediction of brain tumor types and boundaries using deep learning methods).
  • Undergraduate (2009-2013): Çanakkale Onsekiz Mart University, Faculty of Engineering, Turkey.

Merve’s academic background provides a solid foundation in computer engineering, artificial intelligence, and data science. She continues to pursue advanced studies, focusing on leveraging machine learning and deep learning methods to address complex problems in health and technology.

Research Focus

Merve Pinar’s research focuses on the intersection of artificial intelligence, machine learning, and medical applications. Her primary interests are database management, data structures, pattern recognition, and deep learning. She specializes in using AI techniques for medical imaging, particularly in the classification and segmentation of brain tumor types using MRI and surgical microscope images. Her work aims to enhance diagnostic tools, improving the accuracy and efficiency of healthcare systems. Additionally, she is involved in hyperparameter optimization for big data applications, which helps improve recommendation systems. Merve’s interdisciplinary research is positioned at the cutting edge of AI, combining computer engineering with real-world applications, particularly in healthcare technology, where deep learning plays a crucial role in revolutionizing diagnostics and treatment strategies.

Publications

  • Deep Learning-Assisted Segmentation and Classification of Brain Tumor Types on Magnetic Resonance and Surgical Microscope Images 🧠💻 (2024)
  • Hyperparameter Optimization for Recommendation Systems with Big Data 📊🔍 (2017)

Yusuf KARADEDE | Artificial Intelligence | Best Researcher Award

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Assist Prof Dr. Yusuf KARADEDE | Artificial Intelligence | Best Researcher Award

Doctor, Gaziantep Islam Science and Technology University, Faculty of Engineering and Natural Sciences, Department of Industrial Engineering, 27010 Gaziantep, Turkey

Profile

Scopus

Strengths for the Award

Dr. Yusuf Karadede’s research in stochastic processes, heuristic algorithms, and stochastic optimization underscores his deep expertise and innovative approach in industrial engineering. His doctoral thesis and subsequent work have made significant contributions to the fields of simulation and stochastic modeling. Notably, his publications in esteemed journals like Soft Computing and Energy highlight his ability to tackle complex problems with advanced computational techniques.

Dr. Karadede’s diverse range of scientific activities demonstrates his commitment to advancing both theoretical and applied aspects of his field. His development of novel models such as the ProFiVaS model for financial indicators, showcased in his recent publication in Expert Systems with Applications, exemplifies his forward-thinking approach and impact on financial modeling.

Areas for Improvement

While Dr. Karadede’s research is highly impactful, expanding the scope of his research to include interdisciplinary approaches could further enhance the applicability of his work. For instance, integrating his stochastic models with emerging technologies like machine learning could offer new insights and broaden the impact of his research. Additionally, increasing collaboration with international research groups might provide new perspectives and enhance the global reach of his contributions.

Academic Background:

  • Bachelor’s Degree: Mathematics, Suleyman Demirel University, 2006-2010
  • Master’s Degree: Industrial Engineering, Suleyman Demirel University, 2011-2014
  • Doctorate (Ph.D.): Industrial Engineering, Suleyman Demirel University, 2015-2020

Professional Experience:

  • Kafkas University: Faculty of Engineering and Architecture, Department of Industrial Engineering (2014-2015)
  • Suleyman Demirel University: Faculty of Engineering, Department of Industrial Engineering (2015-2020)
  • Gaziantep Islam Science and Technology University: Department of Industrial Engineering (2020-Present)

Research Interests:

  • Stochastic Processes and Models
  • Simulation
  • Heuristic Algorithms
  • Stochastic Optimization

 Awards and Scholarships:

  • TÜBİTAK 2210-C Program Scholarship (2013-2014)
  • TÜBİTAK 2211-C Program Scholarship (2018-2020)

Publications Top Notes:

Karadede, Y., Özdemir, G. (2018). A hierarchical soft computing model for parameter estimation of curve-fitting problems. Soft Computing, 22(20), 6937-6964.

Karadede, Y., Ozdemir, G., Aydemir, E. (2017). Breeder Hybrid Algorithm Approach for Natural Gas Demand Forecasting Model. Energy, 141, 1269-1284.

Akdeniz, F., Biçil, M., Karadede, Y., Özbek, F. E., Özdemir, G. (2018). Application of real valued genetic algorithm on prediction of higher heating values of various lignocellulosic materials. Energy, 160, 1047-1054.

Karadede, Y. (2024). A novel stochastic ProFiVaS model based on decomposition of stochastic Vasicek differential equation for modeling and simulating financial indicators. Expert Systems with Applications

Conclusion

Dr. Yusuf Karadede’s distinguished research in stochastic processes and optimization positions him as a strong candidate for the Best Researcher Award. His innovative contributions, including high-impact publications and successful research projects funded by prestigious institutions like TÜBİTAK, highlight his significant achievements and potential for future breakthroughs. His work not only advances theoretical understanding but also offers practical solutions to real-world problems, making him a deserving nominee for this esteemed accolade.

Gianpaolo Coro | Artificial Intelligence | Best Researcher Award

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Dr. Gianpaolo Coro | Artificial Intelligence | Best Researcher Award

Researcher, National Research Council of Italy – CNR, Italy

🏆 Dr. Gianpaolo Coro, an esteemed researcher at the National Research Council of Italy – CNR, has been honored with the prestigious Best Researcher Award in the field of Artificial Intelligence. With a remarkable dedication to advancing AI technologies, Dr. Coro’s contributions have significantly enriched the scientific community. His innovative research initiatives have propelled the boundaries of AI, fostering breakthroughs that promise to reshape industries and improve societal well-being. Through his unwavering commitment and visionary insights, Dr. Coro continues to inspire and lead the way towards a future empowered by cutting-edge AI solutions. 🌟

Profile

Scopus

Research areas

Artificial Intelligence 🤖, Automatic Speech Recognition 🗣️, Cybernetics 🔍, Natural Language Processing 📝, Ecological Modelling 🌿, Cloud Computing ☁️, Research e-Infrastructures 🖥️, and Open Science 🔓 stand as the pillars of modern scientific exploration. These fields intertwine to push the boundaries of knowledge and innovation. From deciphering human speech to simulating complex ecosystems, each domain contributes uniquely to our understanding of the world. Moreover, advancements in cloud computing and e-infrastructures facilitate collaborative research on a global scale, fostering open science initiatives that promote transparency and accessibility. Together, these disciplines form a dynamic landscape of inquiry, driving forward progress and unlocking new realms of possibility. 🌐

Work experience

Gianpaolo Coro served as a dedicated Research Fellow from November 2012 to September 2013, marking the inception of his illustrious career journey. Employed at the Istituto di Scienza e Tecnologie dell’Informazione A. Faedo of the National Research Council of Italy (CNR-ISTI), Coro embarked on his exploration of Artificial Intelligence applications in computational biology and natural language processing. His endeavors were rooted in Open Science principles, utilizing innovative computer systems and cloud computing infrastructure. This period laid the groundwork for Coro’s subsequent advancements, shaping his expertise in interdisciplinary research domains. 🌱

Education

🎓 Gianpaolo Coro achieved his Doctor of Philosophy in Computer Science from the University of Naples Federico II, specializing in Cybernetics, Natural Language Processing, and Speech Processing. Under the guidance of Professors Ernesto Burattini and Francesco Cutugno, his groundbreaking thesis titled “A Step Forward in Multi-granular Automatic Speech Recognition” introduced a novel approach to speech recognition, integrating models operating at multiple temporal scales. This marked a significant advancement in the field. Coro’s academic journey also includes a degree in Physics, where he focused on similar subjects. Throughout his educational path, he exhibited exceptional prowess, earning top honors and recognition for his outstanding achievements. 🌟

Awards

Gianpaolo Coro’s exceptional contributions have been recognized through numerous prestigious awards and accolades. His achievements include receiving the Abilitazione Scientifica Nazionale as Associate Professor, affirming his expertise in Systems for Information Processing. Coro’s dedication to research excellence was further underscored by his receipt of the EOSC Secretariat COVID-19 Fast Track Funding Award for his project on modeling SARS-CoV-2 spread. Additionally, he was honored with the Best Paper Award by the ICES Journal of Marine Science and received grants from NVIDIA Corporation for his research endeavors. Furthermore, Coro’s early career was distinguished by successive Young Researcher Awards from the ISTI-CNR, highlighting his promising trajectory in academia. 🌟

Publications Top Notes

  1. An exploratory approach to data driven knowledge creation
    • Year: 2023
    • Authors: Thanos, C.; Meghini, C.; Bartalesi, V.; Coro, G.
    • Journal: Journal of Big Data
    • Article Type: Article (Open access)
  2. Global-scale parameters for ecological models
    • Year: 2023
    • Authors: Coro, G.; Bove, P.; Kesner-Reyes, K.
    • Journal: Scientific Data
    • Article Type: Data Paper (Open access)
  3. Virtual research environments co-creation: The D4Science experience
    • Year: 2023
    • Authors: Assante, M.; Candela, L.; Castelli, D.; Piccioli, T.; Sinibaldi, F.
    • Journal: Concurrency and Computation: Practice and Experience
    • Article Type: Conference Paper
  4. A simple framework for the exploration of functional biodiversity | Un cadre pour l’exploration de la biodiversité fonctionnelle
    • Year: 2023
    • Authors: Froese, R.; Coro, G.; Palomares, M.L.D.; Garilao, C.; Pauly, D.
    • Journal: Cybium
    • Article Type: Article
  5. A self-training automatic infant-cry detector
    • Year: 2023
    • Authors: Coro, G.; Bardelli, S.; Cuttano, A.; Scaramuzzo, R.T.; Ciantelli, M.
    • Journal: Neural Computing and Applications
    • Article Type: Article (Open access)