Sara Tassoni | Agroecology | Best Researcher Award

Ms. Sara Tassoni | Agroecology | Best Researcher Award

PhD candidate atย  University of Hohenheim , Germany

Sara Tassoni is a Doctoral Researcher in Ecology at the University of Hohenheim, Germany. With over six years of experience in insect classification and project management, Sara specializes in multitrophic interactions in agricultural landscapes. Her interdisciplinary academic journey, spanning environmental protection, agricultural science, and diagnostic imaging, underscores her broad scientific expertise. Saraโ€™s work focuses on promoting biodiversity in agroecosystems and enhancing sustainable practices. She is proficient in RStudio and QGIS, fluent in three languages (Italian, English, German), and has co-authored research on insect conservation published in Global Ecology and Conservation. Her passion for nature extends beyond her research, as she enjoys hiking, dog training, and reading.

Profile:

ORCID Profile

Strengths for the Award:

  1. Extensive Research Experience:
    • Sara has over six years of experience in insect classification, particularly with Coleoptera and Hymenoptera, which demonstrates her technical expertise in entomology.
    • Her PhD work focuses on multitrophic interactions within a landscape context, a complex area of ecology. This shows her ability to engage in multidisciplinary research.
    • Her experience in leading a small team and managing field and lab work underlines her project management and leadership skills, vital for any researcher.
  2. Publication Record:
    • Sara co-authored a significant research article in Global Ecology and Conservation about insect conservation in agricultural landscapes. Publishing in such a reputable journal shows that her work is contributing to the scientific community at a high level.
  3. Diverse Academic Background:
    • Her educational journey, spanning agricultural and food sciences, ecology, and diagnostic imaging, showcases versatility. This interdisciplinary approach enhances her research perspective, particularly in understanding ecological systems in agricultural contexts.
  4. Technical Proficiency:
    • Proficient in RStudio and QGIS, Sara demonstrates strong data analysis and geospatial skills, which are essential for modern ecological research.
  5. International and Multilingual Experience:
    • Fluent in English, Italian, and German, she can collaborate with a broad international audience. Her fluency in multiple languages could enhance her ability to participate in global research initiatives and conferences.
  6. Award-Winning Involvement in Projects:
    • Her contribution to the BiodivObst project, which was recognized by the UN, is a notable achievement. It indicates that her work has not only scientific merit but also real-world impact in promoting biodiversity in fruit orchards.

Areas for Improvement:

  1. Broader Research Impact:
    • While Sara has made valuable contributions, particularly in agricultural landscapes, increasing her publication output or extending her research to more global or diverse ecological issues might enhance her standing further.
  2. Advanced Statistical Skills:
    • Although she has intermediate knowledge of RStudio, further development of advanced statistical analysis skills could enhance her research depth, particularly for high-level ecological modeling.
  3. Grant Writing and Funding Acquisition:
    • There’s no mention of her involvement in securing research funding. Gaining experience in grant writing and acquiring independent research funding would be a key area to improve her candidacy for higher research accolades.

Education:

Sara Tassoni began her academic career with a BSc in Diagnostic Imaging Radiography and Radiation Therapy (2014) from the University of Parma, Italy, where she graduated with full honors. She then pursued a BSc in Agricultural and Food Science and Technology (2018) at the University of Reggio Emilia and Modena, graduating cum laude with a thesis on invertebrate biodiversity in pear orchards. Her MSc (2021) from the University of Hohenheim focused on the environmental protection of agricultural systems, where her thesis studied tree microhabitats as indicators of bat and bird communities. Currently, she is pursuing a PhD in Ecology (since 2022), investigating multitrophic interactions in landscape contexts, particularly concerning insect conservation and biodiversity promotion.

Experience:

Since 2022, Sara Tassoni has been working as a Doctoral Researcher in the Department of Ecology of Tropical Agricultural Systems at the University of Hohenheim. She leads a small research team, focusing on fieldwork and lab work in agricultural ecosystems, and is skilled in statistical analysis using RStudio and QGIS. Prior to this, she worked as a Student Research Assistant (2018-2020), where she contributed to a biodiversity project in fruit orchards that was awarded by the UN. Saraโ€™s earlier experience includes internships and assistant roles in entomology labs, radiology departments, and administrative work. Her hands-on expertise in insect classification, biodiversity conservation, and project management makes her a valuable researcher in agroecology and sustainability.

Research Focus:

Saraโ€™s research primarily focuses on the conservation of insect biodiversity in agricultural landscapes. Her PhD explores multitrophic interactions within a landscape context, looking at the role of semi-natural habitats and crop heterogeneity in promoting sustainable ecosystems. A key focus of her work is on wild bee species and their relationships with flowering plants, aiming to develop practical recommendations for agricultural systems to enhance biodiversity and ecological health. Sara’s research not only addresses ecological concerns but also promotes agroecological practices that can be integrated into sustainable agriculture. She combines field experiments with statistical analyses using RStudio and geospatial mapping through QGIS to understand these complex interactions.

Publications Top Notes:

  1. Insect conservation in agricultural landscapes needs both high crop heterogeneity and semi-natural habitats (๐ŸŒฟ๐Ÿ)

Conclusion:

Overall, Sara Tassoni is highly suitable for the “Best Researcher Award” based on her strong research background, leadership in ecological projects, and her publication record in reputable journals. Her technical proficiency and international experience further strengthen her candidacy. While there are areas for growth, particularly in expanding her research impact and securing research funding, her current achievements and contributions to the field of ecology make her a strong contender for the award.

Birgitta Dresp | Cognitive Science | Best Researcher Award

Prof Dr. Birgitta Dresp | Cognitive Science | Best Researcher Award

Research Director at CNRS ,France

Dr. Birgitta Dresp-Langley is a distinguished cognitive and computational neuroscientist and Research Director at the CNRS (Centre National de la Recherche Scientifique), France, affiliated with the ICube Laboratory at the University of Strasbourg. She earned her Ph.D. in Cognitive Science from Paris Descartes University in 1991 and completed her Habilitation in Cognitive and Computational Neuroscience at Strasbourg University in 1998. Dr. Dresp-Langley has significantly contributed to the fields of perception, human-computer interaction, artificial intelligence, and data quality. With an extensive list of published works and ongoing international collaborations, she has played an influential role in advancing knowledge in visual perception, decision-making, and AI applications. Throughout her career, Dr. Dresp-Langley has mentored several doctoral and post-doctoral researchers, fostering the next generation of cognitive scientists.

Profile:

Strengths for the Award:

  1. Extensive Research Experience: Dr. Dresp-Langley has over three decades of experience in cognitive science and computational neuroscience, holding a tenured position as Research Director at CNRS since 1993. Her research contributions, particularly in perception, human-computer interaction, artificial intelligence, and decision-making, are highly impactful.
  2. Prolific Publishing Record: She has authored numerous influential research papers, with many highly cited works across fields such as visual perception, illusory forms, and digital addiction. Her most cited papers highlight her leadership in foundational research areas, including her collaboration with other top scholars.
  3. International Collaboration: Dr. Dresp-Langley is involved in a broad range of international collaborations, spanning the US, Europe, Asia, and Africa. This global reach underscores her ability to integrate cross-disciplinary expertise into her research.
  4. Supervision and Mentorship: She has successfully mentored doctoral students and post-doctoral researchers, many of whom have secured prestigious academic positions worldwide. This reflects her commitment to nurturing the next generation of researchers.
  5. Editorial and Reviewing Contributions: Dr. Dresp-Langley holds senior editorial positions in various renowned journals such as Frontiers in Psychology and Frontiers in Neuroscience. This demonstrates her influence in shaping academic discourse.
  6. Scientific Leadership and Recognition: She has been a member of several high-level scientific expert committees, including the European Commissionโ€™s expert group on artificial intelligence and robotics safety. Such roles affirm her leadership in the scientific community.
  7. Multidisciplinary Focus: Her work spans several fields, including neuroscience, robotics, AI, and public health. This versatility makes her contributions relevant across diverse domains.

Areas for Improvement:

  1. Increased Outreach and Public Engagement: While Dr. Dresp-Langleyโ€™s academic contributions are significant, expanding her public engagement through popular science communication could amplify her impact beyond the academic sphere. Increasing outreach to policymakers, industries, and public forums would enhance the societal relevance of her work.
  2. Focus on Emerging Technologies: As artificial intelligence and deep learning evolve, increasing her direct contributions to these rapidly developing fields through more experimental AI and robotics studies could strengthen her influence in applied technological research.
  3. Visibility in Applied Fields: While her work on perception and cognition is foundational, pushing more into applied fields, such as digital health or AI ethics, would ensure that her research remains cutting-edge in both academic and practical contexts.

Education:

Dr. Birgitta Dresp-Langley earned her Ph.D. in Cognitive Science in 1991 from Paris Descartes University, where she focused on visual perception, particularly illusory form phenomena and their neural correlates. In 1998, she completed her Habilitation in Cognitive and Computational Neuroscience at Strasbourg University. Her habilitation expanded on her previous work and explored computational models of perception and neural networks. Dr. Dresp-Langley’s educational background is deeply rooted in experimental psychology, neurophysiology, and computational modeling, which provided her with a strong interdisciplinary approach to cognitive science. She has received international recognition for her pioneering research in visual perception, depth perception, and human-computer interaction. Her educational background established her as a leader in both cognitive science and neuroscience research.

Experience:

Since 1993, Dr. Birgitta Dresp-Langley has held a tenured position as a Research Director at the CNRS, where she has led groundbreaking research in cognitive and computational neuroscience. She is affiliated with the ICube Laboratory at the University of Strasbourg, focusing on perception, human-computer interaction, and AI. Dr. Dresp-Langley has supervised numerous doctoral and post-doctoral researchers and collaborated with scientists worldwide, including from the U.S., Kenya, and Japan. She is also a Senior Associate Editor for several prestigious journals, such as Frontiers in Psychology and Frontiers in Neuroscience. Beyond her academic career, she has served as a member of European expert committees on artificial intelligence, robotics, and virtual reality safety. Over the years, her work has garnered significant financial support through CNRS, IDEX, and European Commission-funded projects, contributing to the understanding of visual and cognitive processes.

Research Focus:

Dr. Birgitta Dresp-Langleyโ€™s research focuses on the interdisciplinary fields of cognitive and computational neuroscience. Her work investigates human perception, particularly how the brain processes visual information, such as depth perception, illusory contours, and form perception. She also explores how artificial intelligence can model and simulate these cognitive processes, creating applications for human-computer interaction and robotics. Dr. Dresp-Langley has made significant contributions to understanding how the brain interprets visual stimuli, filling gaps between local contrast detection and global grouping. Her research also covers decision-making mechanisms and data quality in complex information systems. A leading voice in visual perception, she has published extensively on the interplay between color, contrast, and spatial awareness in both humans and artificial systems. Additionally, her research includes examining the impacts of digital addiction on cognitive health and behavior, further showcasing her multidisciplinary expertise.

Publication Top Notes:

  • Deep reinforcement learning for the control of robotic manipulation: a focused mini-review ๐Ÿค–
  • Bright lines and edges facilitate the detection of small light targets ๐Ÿ”ฆ
  • Phenomena of illusory form: Can we bridge the gap between levels of explanation? ๐Ÿค”
  • Contour integration across polarities and spatial gaps: from local contrast filtering to global grouping ๐Ÿ‘๏ธ
  • Beyond the classical receptive field: The effect of contextual stimuli ๐Ÿง 
  • Psychophysical evidence for low-level processing of illusory contours and surfaces in the Kanizsa square ๐Ÿ”ณ
  • Digital addiction and sleep ๐ŸŒ™
  • Subthreshold summation with illusory contours ๐Ÿงฉ
  • Childrenโ€™s health in the digital age ๐Ÿ’ป
  • Interaction of color and geometric cues in depth perception: When does โ€œredโ€ mean โ€œnearโ€? ๐ŸŸฅ
  • Detection facilitation by collinear stimuli in humans ๐Ÿงโ€โ™‚๏ธ
  • Contrast detection facilitation by spatially separated targets and inducers ๐ŸŽฏ
  • Psychophysical measures of illusory form perception ๐Ÿ”ฎ
  • Effects of saturation and contrast polarity on the figure-ground organization of color on gray ๐ŸŽจ
  • A neural network model for long-range contour diffusion in vision ๐Ÿง‘โ€๐Ÿ’ป
  • The quantization error in a Self-Organizing Map as a contrast and color-specific indicator ๐Ÿ–ฅ๏ธ
  • Depth perception from pairs of overlapping cues in pictorial displays ๐Ÿ–ผ๏ธ
  • Seeing virtual while acting real: Visual display and strategy effects on the time and precision of eye-hand coordination ๐Ÿ–ฒ๏ธ
  • On illusory contours and their functional significance ๐Ÿง
  • Ultraviolet reflecting photonic microstructures in the King Penguin beak ๐Ÿง

Conclusion:

Dr. Birgitta Dresp-Langleyโ€™s contributions to cognitive science, computational neuroscience, and related fields make her a highly suitable candidate for a Best Researcher Award. Her long-standing impact through publications, international collaborations, mentorship, and scientific leadership positions demonstrate excellence in research. While increasing public engagement and continuing to advance her work in emerging technologies could enhance her influence further, her overall profile is exemplary for this accolade.