Ali Haghizadeh | Hydrological modelling | Best Scholar Award

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Prof Dr. Ali Haghizadeh | Hydrological modelling | Best Scholar Award

Lorestan university | Iran

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✅ Suitability Summary

Prof. Dr. Ali Haghizadeh is a distinguished figure in the field of Water Resources Engineering, with a career that exemplifies academic leadership, innovation, and impact. With over 110 publications (including 80+ SCI/Scopus-indexed papers), he has made notable contributions in hydrological modeling, climate change adaptation, and AI-driven flood prediction. His work has directly shaped Iran’s National Water Management Plan, offering real-world solutions to water crises affecting over 2 million people. As the founder of the Faculty of Natural Resources at Lorestan University, he demonstrates exceptional capability not only in research but also in institution-building and interdisciplinary collaboration.

🎓 Education & Experience

Prof. Haghizadeh earned his Ph.D. in Water Resources Engineering from Universiti Putra Malaysia (UPM) in 2011, and currently serves as a Full Professor at Lorestan University (2024–present). With over 15 years of academic experience, he has supervised more than 100 graduate theses and led 12+ national and institutional research projects. His vision led to the establishment of four new academic departments and specialized laboratories, playing a pivotal role in advancing higher education and applied sciences in environmental and water-related disciplines.

📜 Professional Development

Throughout his career, Prof. Haghizadeh has demonstrated a strong commitment to professional growth and academic leadership. He serves as a Guest Editor for the journal Water Resources Management, overseeing a special issue on AI in Hydrology. He holds memberships in esteemed organizations such as the Iranian Hydrology Association and the International Water Resources Association (IWRA). As a Technical Advisor to Iran’s National Water Management Plan, he has actively bridged the gap between research and policy, collaborating with key agencies like the Department of Environmental Protection, Regional Water Company, and the Fisheries Organization. His international collaborations include joint research with UNESCO-GEF and his alma mater, UPM Malaysia.

🔬 Research Focus

Prof. Haghizadeh’s research lies at the intersection of hydrology, artificial intelligence, and climate resilience. His core areas include hydrological modeling, flood risk assessment, groundwater sustainability, and AI/ML in water resources. His impactful projects include:

  • AI-Based Flood Prediction in the Lorestan Basin

  • Groundwater Vulnerability Mapping using entropy models

  • Evaporation Estimation for Lake Kharkheh using deep learning (LSTM, CNN, RNN) and SEBAL on Google Earth Engine

  • Water Valuation in Semi-Arid Regions and Evaporation Mitigation using hexagonal floating covers
    His work is widely cited, with 2,307+ citations on Google Scholar (h-index: 18) and 1,586 citations on Scopus (h-index: 14). He has published in top-tier journals such as Science of The Total Environment, Water, Geocarto International, and Natural Hazards, with over 30+ Q1 journal articles.

🏆 Honors & Awards

Prof. Haghizadeh has been recognized as a University Distinguished Research Professor and was listed among the highly cited researchers of 2022 by Clarivate Analytics (Web of Science). He has published 2 academic books (with ISBN), and is actively involved in patent development. He is applying for the Distinguished Scientist Award and the Best Researcher Award. His legacy includes the creation of four new academic departments—Watershed, Forestry, Fisheries, and Environmental Sciences—and the launch of four dedicated laboratories, strengthening research infrastructure in Iran. His leadership in both academic development and industry collaboration has made a measurable difference in water policy, environmental protection, and graduate education.

📖Publications

Evaluation of different machine learning models for predicting and mapping the susceptibility of gully erosion

Authors: O. Rahmati, N. Tahmasebipour, A. Haghizadeh, H.R. Pourghasemi, …

Journal: Geomorphology

Year: 2017

Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison

Authors: O. Rahmati, A. Haghizadeh, H.R. Pourghasemi, F. Noormohamadi

Journal: Natural Hazards

Year: 2016

Delineation of groundwater potential zones using remote sensing and GIS-based data-driven models

Authors: S. Ghorbani Nejad, F. Falah, M. Daneshfar, A. Haghizadeh, O. Rahmati

Journal: Geocarto International

Year: 2017

 Evaluating the influence of geo-environmental factors on gully erosion in a semi-arid region of Iran: An integrated framework

Authors: O. Rahmati, N. Tahmasebipour, A. Haghizadeh, H.R. Pourghasemi, …

Journal: Science of the Total Environment

Year: 2017

Spatial prediction of flood-susceptible areas using frequency ratio and maximum entropy models

Authors: S. Siahkamari, A. Haghizadeh, H. Zeinivand, N. Tahmasebipour, O. Rahmati

Journal: Geocarto International

Year: 2018

 

 

Berhanu Wale Yirdaw | Statistical Analysis | Best Researcher Award

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Mr. Berhanu Wale Yirdaw | Statistical Analysis | Best Researcher Award

Teda Health Science College | Ethiopia

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🎓 Early Academic Pursuits

Mr. Berhanu Wale Yirdaw began his academic journey with a Bachelor of Science in Nursing from Debre Markos University, Ethiopia, between 2011/12 and 2015 G.C. He further advanced his education by earning a Master of Science in Pediatrics and Child Health Nursing at the University of Gondar from 2018 to 2020. His strong foundation in nursing laid the groundwork for a career deeply rooted in both healthcare practice and academia.

🩺 Professional Endeavors

Berhanu started his professional career as a BSc Nurse Practitioner at Debark General Hospital, Ethiopia, from October 12, 2015, to June 21, 2016. He transitioned to academia by joining Teda Health Science College as a Lecturer in June 2016 and has been serving there ever since. In addition to his teaching responsibilities, he has held several leadership roles, including Nursing Department Head, Health Extension Program Unit Leader (2020–2022), and currently serves as the Educational Development Center (EDC) Coordinator since October 2024.

📚 Teaching Experience

With nearly a decade of teaching experience at Teda Health Science College, Berhanu has played a crucial role in shaping the next generation of healthcare professionals. His involvement in curriculum integration, OSCE facilitation, and instructional design speaks volumes about his commitment to educational excellence. He has also facilitated training programs in TBL, TB/HIV, and effective teaching skills, further solidifying his academic credentials.

🧠 Contributions and Research Focus

Mr. Berhanu has significantly contributed to evidence-based practice and public health through his research. His work spans maternal and child health, infectious disease control, and traditional healthcare practices. His systematic reviews and meta-analyses have provided crucial insights into the impact of COVID-19 on maternal health services, self-medication practices among pregnant women, and traditional uvulectomy among caregivers. These studies have been published in peer-reviewed journals such as PLOS ONE and SAGE Open Medicine.

🌍 Impact and Influence

Beyond academic circles, Berhanu’s research has influenced public health policy and healthcare education. His study on COVID-19’s disruption of maternal health services offers policy guidance to healthcare institutions during emergencies. As a conference presenter at ESOG 2022, he engaged with the wider medical community, expanding the impact of his work on national healthcare discourse.

📑 Academic Citations and Publications

Berhanu’s publications reflect a strong commitment to scientific rigor and public health impact:

These studies are widely cited and serve as valuable references for students, practitioners, and policy makers.

💻 Technical and Software Skills

Berhanu is equipped with a variety of technical and analytical tools that support his teaching and research. He is proficient in:

  • Microsoft Office Suite: Word, Excel, PowerPoint

  • Statistical Software: SPSS, Stata, Open Code, EpiData

  • Digital Communication: Zoom, Microsoft Teams, Google Meet
    These competencies allow him to integrate data analysis with educational delivery, fostering a tech-enabled learning environment.

🧑‍🏫 Leadership and Development Roles

In addition to his academic roles, Berhanu has actively participated in various national training and development initiatives. He has earned certifications from MoH Ethiopia, WHO, Jhpiego, USAID, EMA, and Johns Hopkins University, covering areas such as leadership and governance, digital health, infection prevention, gender-based violence, and instructional design. These programs enhance his capacity to deliver quality education and advocate for community health improvements.

🧾 Certifications and Continuous Learning

Mr. Berhanu’s professional growth is marked by over 25 national and international certifications, including:

  • Malaria Case Management

  • Infection Prevention & Control

  • Human Resource Management for Health

  • Digital Health in Primary Healthcare

  • Gender Responsive Pedagogy

  • Chemical and Biological Emergency Preparedness (CBDE)

  • Oxygen Therapy in Adults and Children

His dedication to continuous learning ensures he remains at the forefront of health education and practice.

🧬 Legacy and Future Contributions

Mr. Berhanu aspires to leave a legacy in nursing education, child health advocacy, and evidence-based community healthcare. Through his roles as educator, researcher, and leader, he continues to influence the health sector in Ethiopia and beyond. His passion for curriculum innovation, digital learning integration, and community-based healthcare interventions positions him as a transformative figure in the field.

📖Publications

Gender-based violence and associated factors among women in Ethiopia: a systematic review and meta-analysis
BMC Women’s Health
2025-07-04 | Journal article
DOI: 10.1186/s12905-025-03867-0
Contributors: Berhanu Wale Yirdaw; Bimrew Bayuh Yimer
Impact of COVID-19 pandemic on utilization of essential maternal healthcare services in Ethiopia: A systematic review and meta-analysis
PLOS ONE
2023-02-07 | Journal article
DOI: 10.1371/journal.pone.0281260
Contributors: Birye Dessalegn Mekonnen; Bidhubhusan Mahapatra; Berhanu Wale Yirdaw
Self-medication practice and associated factors among pregnant women in Ethiopia: A systematic review and meta-analysis
SAGE Open Medicine
2023-01 | Journal article
DOI: 10.1177/20503121231194429
Contributors: Worku Chekol Tassew; Yeshiwas Ayal Ferede; Samson Sisay Woldie; Berhanu Wale Yirdaw; Habiba Fenta Hussien; Bimrew Bayuh Yimer; Dawit Gismie Hailemariam; Banchigizie Adane Mengistu; Agerie Mengistie Zeleke
Practice and associated factors of traditional uvulectomy among caregivers having children less than 5 years old in South Gondar Zone, Amhara Region, Ethiopia, 2020; a triangulated cross-sectional study.
2023-01-16 | Preprint
DOI: https://doi.org/10.21203/rs.3.rs-1305374/v2
Practice and associated factors of traditional uvulectomy among caregivers having children less than 5 years old in South Gondar Zone, Amhara Region, Ethiopia, 2020
PLOS ONE
2022-12-22 | Journal article
DOI: 10.1371/journal.pone.0279362
Contributors: Berhanu Wale Yirdaw; Hongxun Tao; Mengistu Berhanu Gobeza; Netsanet Tsegaye Gebreegziabher

Mohamed Ingafou | Healthcare Data Analysis | Best Researcher Award

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Dr. Mohamed Ingafou | Healthcare Data Analysis | Best Researcher Award

Ajman University | United Arab Emirates

PUBLICATION PROFILE

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📘 INTRODUCTION

Dr. Mohamed Ingafou is a highly respected academic and clinician specializing in Oral Medicine, with more than three decades of experience in dental education, research, and clinical leadership. Currently serving as an Associate Professor at the Faculty of Dental Sciences, Ajman University in the United Arab Emirates, Dr. Ingafou brings a wealth of knowledge and an international perspective shaped by his work across Libya and the UK. His academic career is marked by consistent excellence in teaching, research, and service to the dental community.

🎓 EARLY ACADEMIC PURSUITS

Dr. Ingafou embarked on his dental education journey at Garyounis University in Benghazi, Libya, completing his undergraduate studies in 1987. Immediately after, he served as a demonstrator in the Department of Oral Medicine until 1992. Driven by a passion for higher education, he pursued postgraduate studies in the UK, where he earned an MSc from Bristol University (1992–1994), followed by a PhD in Oral Medicine at the renowned Eastman Dental Institute, University of London (1994–1998). These formative years laid the foundation for a distinguished career in academia.

👨‍⚕️ PROFESSIONAL ENDEAVORS

Dr. Ingafou’s professional journey is marked by progressive academic appointments and leadership roles. From demonstrator to lecturer, and then Assistant Professor, he steadily advanced within the academic community. He was appointed Associate Professor at Al-Arab Medical University (2007–2011) and later achieved the rank of Professor of Oral Medicine at Benghazi University in 2011. His administrative leadership includes key roles such as Head of Oral Biology, Oral Pathology, and Oral Medicine Diagnosis & Radiology Departments. In 2022, he joined Ajman University as an Associate Professor, continuing his commitment to education and innovation in oral health sciences.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Ingafou’s primary focus lies in Oral Medicine, with a special interest in oral mucosal diseases, including oral lichen planus, desquamative gingivitis, and their potential systemic associations. His PhD and subsequent clinical studies have examined immune-mediated oral conditions, providing valuable insights into diagnosis and treatment protocols. Beyond research, he has been a driving force in postgraduate curriculum development and scientific committee leadership, ensuring a high standard of dental education in both Libya and the UAE.

🌍 IMPACT AND INFLUENCE

Dr. Ingafou’s influence is seen in his long-standing mentorship, dedication to student success, and significant roles in academic governance. As a coordinator of postgraduate studies in Oral Medicine for over 15 years, he has trained and guided countless dental professionals. His editorial contributions—serving as Editor-in-Chief of LJD (2019–2021) and a board member for several dental journals—reflect his commitment to advancing scholarly work in the dental field. Moreover, he has played a pivotal role in organizing key national and international conferences, fostering academic exchange and innovation.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Ingafou has co-authored several high-impact research presentations and publications. Notable among them is a retrospective study on 800 UK patients with oral lichen planus, presented at the 8th Biennial Congress of the European Association of Oral Medicine (2006). His earlier work on desquamative gingivitis and the association between hepatitis C and oral lichen planus has been recognized in international academic forums. These contributions underline his dedication to evidence-based clinical practice and academic inquiry.

🏅 HONORS & AWARDS

Though formal awards were not detailed, Dr. Ingafou’s elevation to professorship, repeated appointments as department head, and recognition as Editor-in-Chief speak volumes about the esteem in which he is held by academic peers. His leadership in organizing multiple annual dental research conferences and his membership in editorial boards also highlight his commitment to academic excellence and professional integrity.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Ingafou’s legacy lies in his lifelong commitment to oral health education and mentorship. His work has influenced academic programs, clinical practices, and research standards across Libya and the UAE. Looking forward, he aims to continue his involvement in clinical research, interdisciplinary academic collaboration, and postgraduate mentorship. His experience positions him as a valuable contributor to the future of dental medicine, both regionally and globally.

✨ FINAL NOTE

Dr. Mohamed Ingafou is not just a scholar and clinician—he is a mentor, leader, and innovator in the field of Oral Medicine. From the lecture halls of Benghazi to international conferences and editorial boards, his work embodies dedication, knowledge, and vision. His ongoing contributions continue to shape future generations of dental professionals, making a lasting impact on the academic and clinical landscape of Oral Medicine.

 📚 TOP NOTES PUBLICATIONS

Amygdalin extracts from almonds and apricots as anticancer agents in human oral carcinoma – an in vitro investigation

  • Authors: Alexander M. Luke, Sam T. Kuriadom, Krishna P. Shetty, Mohamed S.H. Ingagou

  • Journal: Journal of Baghdad College of Dentistry

  • Year: 2025

Artificial Intelligence in Oral Cancer: A Comprehensive Scoping Review of Diagnostic and Prognostic Applications

  • Authors: Vineet Vinay, Praveen Jodalli, Mahesh S. Chavan, Chaitanya S. Buddhikot, Alexander Maniangat Luke, Mohamed Saleh Hamad Ingafou, Rodolfo Reda, Ajinkya M. Pawar, Luca Testarelli

  • Journal: Diagnostics

  • Year: 2025

Adenoid Cystic Carcinoma of the Minor Salivary Glands: A Systematic Review and Meta-Analysis of Clinical Characteristics and Management Strategies

  • Authors: Mohamed A. Jaber, Mawada Hassan, Mohamed Ingafou, Alaa Mohamed Elameen

  • Journal: Journal of Clinical Medicine

  • Year: 2024

A Comparative Study of Condylar Bone Pathology in Patients with and without Temporomandibular Joint Disorders Using Orthopantomography

  • Authors: Mohamed Jaber, Alaa Khalid, Amena Gamal, Raghad Faisal, Asok Mathew, Mohamed Ingafou

  • Journal: Journal of Clinical Medicine

  • Year: 2023

Macroglossia as the first oral manifestation of dialysis-associated systemic amyloidosis

  • Authors: Haleema F. Mohammed, Mawada Hassan, Mohamed Jaber, Ingafou

  • Journal: Asian Journal of Surgery

  • Year: 2022

Laxmi Kantham Durgam | Deep Learning | Best Scholar Award

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Mr. Laxmi Kantham Durgam | Deep Learning | Best Scholar Award

National Institute of Technology Warangal | India

Publication Profile

Google Scholar

🧑‍🎓 Education

Mr. Laxmi Kantham Durgam is currently pursuing his PhD in Electrical Engineering at National Institute of Technology Warangal, Telangana, India (2021–Present). His research focuses on Speech Recognition, Age and Gender Identification from Speech, and the application of Machine Learning and Deep Learning techniques. He is also a Visiting Researcher at the Technical University of Kosice, Slovakia, as part of the NSP SAIA Fellowship (2024). Mr. Durgam holds an M.Tech in Digital Systems and Computer Electronics from Jawaharlal Nehru Technological University, Hyderabad (2017–2020) and a B.Tech in Electronics and Communication Engineering from the same institution (2011–2015).

📚 Publications

Mr. Durgam has contributed to various publications in the fields of speech processing, deep learning, and edge computing. His notable works include papers on speaker age and gender classification, real-time age estimation from speech, and dress code detection using MobileNetV2 on NVIDIA Jetson Nano. He has been published in journals like Computing and Informatics and Journal of Signal Processing Systems, as well as conferences like ICIT-2023 in Kyoto, Japan.

🔬 Research Experience

Since 2021, Mr. Durgam has been a PhD Research Scholar at NIT Warangal, where his research includes projects on real-time age identification from speech using Edge devices like Jetson Nano and Arduino Nano BLE. He has also worked on real-time projects like vehicle logo classification using Edge Impulse and dress code detection using MobileNetV2. His work is focused on implementing Machine Learning and Deep Learning algorithms for practical, real-time applications.

🏆 Fellowships and Awards

Mr. Durgam was awarded the NSP SAIA Fellowship (2024), an international mobility program funded by the European Union, allowing him to collaborate with the KEMT, Faculty of Electrical Engineering and Informatics at the Technical University of Kosice, Slovakia. He also received the MHRD Fellowship for his PhD from the Government of India. He has passed the NITW PhD Entrance and the GATE exam (2016), and he received financial support as an undergraduate student from the Andhra Pradesh State Government.

📖 Academic Achievements

Mr. Durgam has significantly contributed to the academic environment through his role in conducting hands-on programming sessions in Machine Learning, Deep Learning, and AI applications. He has mentored students in Faculty Development Programs (FDPs), summer and winter internships, and workshops at various institutions. His workshops have reached institutions such as BRIT Vijayanagaram and VBIT Hyderabad, where he focused on advanced deep learning applications on Edge devices.

💻 Technical Skills

Mr. Durgam is highly skilled in programming with languages like Python, C, Embedded C, Matlab, and frameworks such as Keras, TensorFlow, and OpenCV. He has experience working with edge devices like Jetson Nano, Jetson Xavier, and Arduino Nano BLE 33 Sense. His expertise also extends to Machine Learning, Deep Learning, Computer Vision, and Digital Signal Processing.

🧑‍🏫 Teaching and Mentoring

Mr. Durgam has been an active Teaching Assistant and mentor at NIT Warangal, where he has assisted in courses like Artificial Intelligence, Machine Learning, and Digital Signal Processing. He has guided B.Tech students in lab sessions, and his expertise in AI/ML has also been shared through guest lectures and faculty development programs.

🚀 Key Projects

Some of Mr. Durgam’s key projects include age and gender estimation from speech using MFCC features, dress code detection with MobileNetV2 on Edge devices, and real-time object detection using deep learning algorithms. He has successfully developed these applications on devices like Jetson Nano and Arduino Nano BLE for real-time deployment.

🌍 Professional Engagement

Mr. Durgam is an IEEE Student Member and an active participant in IEEE Young Professionals. He has been involved in organizing and coordinating internships, workshops, and training programs related to AI/ML and Deep Learning at NIT Warangal and other institutes. He is passionate about bridging the gap between academia and real-world applications, particularly through Edge Computing and AI deployment.

📚 Top Notes Publications 

Real-Time Dress Code Detection using MobileNetV2 Transfer Learning on NVIDIA Jetson Nano

    • Authors: LK Durgam, RK Jatoth

    • Journal: Proceedings of the 2023 11th International Conference on Information

    • Year: 2023

Real-Time Classification of Vehicle Logos on Arduino Nano BLE using Edge Impulse

    • Authors: D Abhinay, SV Vighnesh, LK Durgam, RK Jatoth

    • Journal: 2023 4th International Conference on Signal Processing and Communication

    • Year: 2023

Age Estimation based on MFCC Speech Features and Machine Learning Algorithms

    • Authors: LK Durgam, RK Jatoth

    • Journal: IEEE International Symposium on Smart Electronic Systems (iSES)

    • Year: 2022

Age Estimation from Speech Using Tuned CNN Model on Edge Devices

    • Authors: LK Durgam, RK Jatoth

    • Journal: Journal of Signal Processing Systems

    • Year: 2024

Age and Gender Estimation from Speech using various Deep Learning and Dimensionality Reduction Techniques

    • Authors: MPJJ Laxmi Kantham Durgam*, Ravi Kumar Jatoth, Daniel Hladek, Stanislav Ondas

    • Journal: Acoustics and Speech Processing at Speech analysis synthesis, Institute of

    • Year: 2024

 

Snehal Laddha | Medical Image Analysis | Best Researcher Award

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Prof. Snehal Laddha | Medical Image Analysis | Best Researcher Award

University of Bradford | United Kingdom

Publication Profile

Google Scholar

INTRODUCTION 🌟

Ms. Snehal Laddha is a highly accomplished and dynamic educator and professional, with an extensive background in Electronics and Computer Science, specializing in AI, Data Analysis, and Deep Learning. With over 16 years of experience in the academic field, she has significantly contributed to student engagement, research innovation, and global academic exposure through teaching roles in India, Australia, and the UK.

EARLY ACADEMIC PURSUITS 📚

Snehal’s academic journey began with a keen interest in electronics and computer science. She completed her formal education, setting the foundation for her research in emerging fields such as Artificial Intelligence (AI) and data analysis. Her academic pursuit took her across various top institutions, where she honed her skills in programming, image analysis, and deep learning, fueling her desire to make a significant impact on both the academic and technological landscapes.

PROFESSIONAL ENDEAVORS 👩‍🏫

Snehal’s career includes prestigious teaching roles such as Assistant Professor at Ramdeobaba University, H.V.P.M.C.O.E.T., and S.R.K.N.E.C. in India, as well as a Teaching Tutor position at the University of Technology, Sydney, Australia. She has also demonstrated remarkable versatility, contributing in non-teaching roles such as Customer Service at Sydney CBD METCENTER, where she gained invaluable international exposure and insights into multicultural education systems.

CONTRIBUTIONS AND RESEARCH FOCUS  ON MEDICAL IMAGE ANALYSIS💡

A passionate researcher, Snehal’s work primarily revolves around AI, computer vision, and Internet of Things (IoT) applications. Her efforts in data analysis, deep learning, and image analysis have led to several publications in both national and international journals. Her most notable invention is the IoT-powered smart trash bin (patent granted in 2024). She is deeply committed to improving academic practices by leading initiatives to organize Faculty Development Programs (FDPs) and research projects sponsored by AICTE.

IMPACT AND INFLUENCE 🌍

Snehal’s global exposure and significant contributions in both teaching and research have shaped the careers of many students and academics. She consistently fosters innovation, critical thinking, and leadership in her students by incorporating advanced technologies into the curriculum. Through her work, she has become a vital figure in the academic community, nurturing the next generation of scientists and engineers.

ACADEMIC CITATIONS AND PUBLICATIONS 📑

Snehal has published numerous papers in international and national journals, covering a wide range of topics, from embedded systems to AI applications. Her citations reflect her deep expertise and recognition in the academic community. She remains dedicated to advancing her field and continues to contribute valuable insights through her research endeavors.

HONORS & AWARDS 🏆

Ms. Snehal Laddha has been recognized for her exceptional academic and professional contributions with multiple prestigious honors:

  • Australian Qualified Professional Engineer certification by Engineers Australia
  • Best Paper Award at Cardiff Metropolitan University, UK
  • Grants for organizing Faculty Development Programs and SPICES from AICTE
  • IELTS Score of 6.5/10 from the British Council

These awards reflect her dedication to excellence in both teaching and research, cementing her as a leader in her field.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Looking forward, Snehal plans to continue her research and academic endeavors, focusing on the evolution of AI and its practical applications in various industries. She is determined to contribute to the development of innovative solutions that can address societal challenges, particularly through IoT, deep learning, and image processing.

FINAL NOTE ✨

Ms. Snehal Laddha’s career is a testament to her unwavering commitment to education, research excellence, and global academic collaboration. With a rich background spanning teaching, research, and innovative solutions, she continues to inspire and lead in the realm of AI and data science, ensuring her legacy as an influential figure in the academic and technological spheres.

TOP NOTES PUBLICATIONS 📚

Liver Segmentation from MR T1 In-Phase and Out-Phase Fused Images Using U-Net and Its Modified Variants
    • Authors: SVL Siddhi Chourasia, Rhugved Bhojane
    • Journal: Intelligent Systems. ICMIB 2024. Lecture Notes in Networks and Systems
    • Year: 2025
Deep-Dixon: Deep-Learning frameworks for fusion of MR T1 images for fat and water extraction
    • Authors: SV Laddha, RS Ochawar, K Gandhi, YD Zhang
    • Journal: Multimedia Tools and Applications
    • Year: 2024
Addressing Class Imbalance in Diabetic Retinopathy Segmentation: A Weighted Ensemble Approach with U-Net, U-Net++, and DuckNet
    • Authors: E Gawate, S Laddha
    • Journal: International Conference on Intelligent Systems for Cybersecurity (ISCS)
    • Year: 2024
A Novel Method of Enhancing Skin Lesion Diagnosis Using Attention Mechanisms and Weakly-Supervised Learning
    • Author: SV Laddha
    • Journal: World Conference on Artificial Intelligence: Advances and Applications
    • Year: 2024
Automated Liver Segmentation in MR T1 In-Phase Images Transfer Learning Technique
    • Authors: SV Laddha, AH Harkare
    • Journal: Proceedings of Eighth International Conference on Information System Design
    • Year: 2024
Automated Segmentation of Liver from Dixon MRI Water-Only Images Using Unet, ResUnet, and Attention-Unet Models
    • Authors: E Gawate, SV Laddha, RS Ochawar
    • Journal: Information System Design: AI and ML Applications: Proceedings of Eighth International Conference on Information System Design
    • Year: 2024