Osman Yildirim | Deep Learning | Best Researcher Award

Prof. Osman Yildirim | Deep Learning | Best Researcher Award

Head of the Department | Istanbul Aydın University | Turkey 

Prof. Osman Yildirim is a distinguished academic and researcher recognized for his contributions at the intersection of engineering, business, sustainability, and biomedical applications. He holds dual doctoral degrees in Engineering and Business Administration, a unique combination that has enabled him to approach research challenges with a strong interdisciplinary perspective. Over the course of his career, he has taken on significant academic leadership roles, including serving as Head of Department at Istanbul Aydin University, while also guiding doctoral students and fostering collaborative research projects. His professional experience spans teaching across engineering and business disciplines, coordinating research initiatives, and contributing to institutional development through mentorship and administrative leadership. His primary research interests focus on green transformation, sustainable supply chains, carbon policy impacts, energy management systems in universities, and AI-based medical imaging applications for improved diagnostics. These areas reflect his commitment to aligning research with both technological advancements and societal needs, particularly in the context of sustainable development and healthcare innovation. He has published widely in reputed Q1 and Q2 indexed journals such as Scopus and SCI, showcasing the impact of his work in both technical and applied fields. His achievements have been recognized through awards and honors that acknowledge his contributions to advancing interdisciplinary research and education. In addition, he has built valuable collaborations with international teams, integrating expertise from engineering, business, and medicine to deliver impactful solutions with global relevance. His research skills include expertise in machine learning, AI-driven image analysis, sustainable system design, and computational modeling for optimization under carbon constraints. These technical strengths, combined with his leadership and mentorship, position him as a leading scholar dedicated to advancing academic excellence and addressing global challenges through innovative and socially relevant research.

Profile: Google Scholar | Scopus Profile | ORCID Profile

Featured Publications

Ozturk, A. I., Yıldırım, O., İdman, E., & İdman, E. (2025). A comparative study of hybrid decision tree–deep learning models in the detection of intracranial arachnoid cysts. Neuroscience Informatics, 100234.

Ozturk, A. I., Yildirim, O., Kaygusuz, K., Idman, E., & Idman, E. (2025). Brain cyst detection using deep learning models. International Journal of Innovative Research and Scientific Studies, 8(5), 8974.

Borhan Elmi, M. M., & Yıldırım, O. (2025). Improve MPPT in organic photovoltaics with chaos-based nonlinear MPC. Balkan Journal of Electrical and Computer Engineering, 13(1), 1418574.

Ozturk, A. I., Yıldırım, O., & Deryahanoglu, O. (2025). A comprehensive strategy for the identification of arachnoid cysts in the brain utilizing image processing segmentation methods. International Journal of Innovative Technology and Exploring Engineering, 14(2), 1031.

Borhan Elmi, M. M., & Yıldırım, O. (2024). Improve LVRT capability of organic solar arrays by using chaos-based NMPC. International Journal of Energy Studies, 4(3), 1449558.

Yildirim, O., Khaustova, V. Y., & Ilyash, O. I. (2023). Reliability and validity adaptation of the hospital safety climate scale. The Problems of Economy, 4(1), 207–216.

Yildirim, O. (2023). Multidimensional and strategic outlook in digital business transformation: Human resource and management recommendations for performance improvement. In Book chapter.

Yildirim, O. (2023). Health professionals’ perspective in the context of social media, paranoia, and working autonomy during the COVID-19 pandemic period. Archives of Health Science Research, 10(1), 30–37.

Yildirim, O. (2023). The personified model for supply chain management. In Multidimensional and strategic outlook in digital business transformation: Human resource and management recommendations for performance improvement.

Yildirim, O., Ilyash, O. I., Khaustova, V. Y., & Celiksular, A. (2022). The effect of emotional intelligence and work-related strain on the employee’s organizational behavior factors. The Problems of Economy, 2(1), 124–131.

Yildirim, O. (2022). Investigation of the electrical conductivity of pernigranilin with carbon monoxide and nitrogen monoxide doping. Mathematical Statistician and Engineering Applications, 9(4).

Yildirim, O. (2022). Cyst segmentation using filtering technique in computed tomography abdominal kidney images. Mathematical Statistician and Engineering Applications, 9(4).

Yildirim, O. (2022). Design of flyback converter by obtaining the characteristics of polymer based R2R organic PV panels. International Journal of Renewable Energy Research, 12(4).

Avdullahi, A., & Yildirim, O. (2021). The mediating role of emotional stability between regulation of emotion and overwork. In Book chapter.

Tunç, P., Yıldırım, O., Göktepe, E. A., & Çapuk, S. (2021). Investigation of the relationship between personality, organizational identification and turnover in competitive flight model. TroyAcademy, 6(1), 894141.

Tunç, P., Yıldırım, O., Göktepe, E. A., & Çapuk, S. (2021). Investigation of the relationship between personality, organizational identification and turnover in competitive flight model. Çanakkale Onsekiz Mart Üniversitesi Uluslararası Sosyal Bilimler Dergisi, 4(1), 804959.

Sivanagireddy Kalli | Deep Learning for Computer Vision | Academic Excellence Distinction Award

Dr. Sivanagireddy Kalli | Deep Learning for Computer Vision | Academic Excellence Distinction Award

Professor at Sridevi Women’s Engineering College, India

Dr. K. Sivanagireddy is a seasoned academician and researcher with over 20 years of experience in teaching, research, and administration. He has served in key academic leadership roles including Dean Academics, Head of Department, and Principal across reputed engineering institutions in Telangana and Andhra Pradesh. His extensive contributions include the publication of more than 60 research papers in SCI, Scopus, and UGC CARE-listed journals, along with participation in over 20 international conferences. He has been a driving force in innovation, holding eight patents—both national and international—and authoring nine technical books. He recently completed a Postdoctoral Fellowship at the University of South Florida (2024) and earned a Ph.D. in Electronics and Communication Engineering from JNTU Hyderabad (2019). His expertise spans areas like VLSI Design, IoT, AI, Embedded Systems, and Medical Image Processing. Recognized nationally and internationally, Dr. Sivanagireddy is also an active member of professional bodies such as IEEE, IAENG, and IAOE.

Professional Profile 

Education🎓

Dr. K. Sivanagireddy has a strong academic foundation rooted in electronics, communication, and embedded systems. He earned his Ph.D. in Electronics and Communication Engineering from Jawaharlal Nehru Technological University, Hyderabad, in 2019. Recently, in 2024, he completed his Postdoctoral Fellowship at the University of South Florida, USA, further enriching his research exposure and global academic outlook. His earlier postgraduate education includes an M.Tech in Embedded Systems from JNTUK, Kakinada (2014), and an M.E in VLSI Design from Vinayaka Missions University, Tamil Nadu (2006). He began his academic journey with a B.Tech in Electronics and Communication Engineering from Bharathidasan University, Tiruchirappalli, in 2002. His education reflects a clear emphasis on digital design, embedded computing, and system optimization, which laid the groundwork for his multifaceted contributions in academia and research. He has also pursued various NPTEL and FDP certifications from top IITs, demonstrating his commitment to lifelong learning and skill enhancement.

Professional Experience📝

Dr. K. Sivanagireddy brings over two decades of professional academic experience, with an emphasis on leadership, research, and teaching. Currently serving as Dean Academics and Professor at Sridevi Women’s Engineering College, Hyderabad since 2019, he previously held the positions of Head of Department and Associate Professor at the same institute. Earlier in his career, he worked at Arjun College of Technology and Science and LITAM, Guntur, where he mentored undergraduate and postgraduate students and handled administrative responsibilities. His contributions extend to coordinating academic accreditations like NAAC and NBA, overseeing student projects, counseling, and organizing technical paper contests. His strategic leadership has helped align institutional goals with academic excellence and research development. With a deep understanding of educational systems, faculty management, and curriculum design, Dr. Sivanagireddy has played a pivotal role in shaping the academic structure of the institutions he served. His professionalism and experience continue to influence engineering education in India.

Research Interest🔎

Dr. Sivanagireddy’s research interests are broad, multidisciplinary, and highly application-oriented. His primary focus lies in Medical Image Processing, Artificial Intelligence, Deep Learning, and IoT-enabled systems, especially for healthcare diagnostics and smart surveillance. He has conducted advanced research in brain tumor detection, cancer classification, heart disease prediction, and autonomous medical devices, often leveraging CNN, LSTM, and hybrid deep learning models. Additionally, his work spans VLSI Design, Embedded Systems, Cybersecurity, Video Surveillance, and Signal Processing, reflecting his versatility. His contributions also extend to developing IoT-integrated intelligent systems, machine learning-based prediction models, and hardware optimization techniques. Many of his projects are focused on societal needs, such as fall detection for the elderly, counterfeit currency detection, and remote health monitoring. His research is rooted in real-world impact, bridging engineering with life sciences and computing. This interdisciplinary approach allows him to explore innovative solutions across both theoretical and applied research domains.

Award and Honor🏆

Dr. K. Sivanagireddy’s scholarly achievements have been widely recognized through multiple national and international honors. He received the International Academic Excellence Award from I2OR in 2022, acknowledging his impactful global research footprint. In 2021, he was conferred with the National Faculty Excellency Award by the International Journal of MC Square Scientific Research, reflecting his outstanding contributions to teaching and innovation. He also earned the National Certificate of Excellence from the Telangana Engineering Colleges Faculty Association in 2020, further emphasizing his role in academic leadership. In addition to these awards, his editorial engagement with the Asian Council of Science Editors and professional memberships with IEEE, IAENG, and IAOE signify his active participation in international scholarly communities. His commitment to excellence, innovation, and quality research has made him a role model in engineering academia, and these accolades underscore his dedication to elevating academic standards at both institutional and national levels.

Research Skill🔬

Dr. Sivanagireddy possesses a diverse and robust set of research skills that span both theoretical modeling and practical application. He is adept in machine learning algorithms, deep learning frameworks, IoT development, and VLSI simulation tools. His proficiency in tools like MATLAB, Python, Verilog, and FPGA platforms has enabled him to develop and deploy intelligent systems for healthcare, security, and automation. He has expertise in image processing techniques, including segmentation, classification, and feature extraction using CNNs, Bi-LSTM, and hybrid models. Additionally, he demonstrates advanced knowledge in medical diagnostics, pattern recognition, and cloud computing integration. His research skillset is not only confined to software but extends to hardware optimization, including CMOS and ASIC design. Through his participation in over 20 conferences and completion of NPTEL certifications from IITs, he maintains up-to-date technical competence. These diverse skills allow him to drive interdisciplinary research, publish impactful papers, and mentor future innovators effectively.

Conclusion💡

Dr. K. Sivanagireddy is highly deserving and well-qualified for the Best Researcher Award. With a prolific publication record, leadership roles, multiple patents, academic books, and contributions to multiple domains in engineering and technology, he stands out as a multidisciplinary scholar and innovator. A stronger emphasis on research impact, international projects, and focused thematic expertise would further elevate his candidacy.

Publications Top Noted✍

  • Title: An effective motion object detection using adaptive background modeling mechanism in video surveillance system
    Authors: SNR Kalli
    Year: 2021
    Citations: 54

  • Title: Early lung cancer prediction using correlation and regression
    Authors: K Sivanagireddy, S Yerram, SSN Kowsalya, SS Sivasankari, J Surendiran, RG Vidhya
    Year: 2022
    Citations: 24

  • Title: Image Compression and reconstruction using a new approach by artificial neural network
    Authors: KSN Reddy, BR Vikram, LK Rao, BS Reddy
    Year: 2012
    Citations: 21

  • Title: A Fast Curvelet Transform Image Compression Algorithm using with Modified SPIHT
    Authors: KSN Reddy, BRS Reddy, G Rajasekhar, KC Rao
    Year: 2012
    Citations: 14

  • Title: A nanoplasmonic branchline coupler for subwavelength wireless networks
    Authors: K Thirupathaiah, KS Reddy, GRS Reddy
    Year: 2021
    Citations: 11

  • Title: Generative Adversarial Networks based Approach for Intrusion Detection System
    Authors: S Kalli, BN Kumar, S Jagadeesh
    Year: 2022
    Citations: 8

  • Title: IMPLEMENTATION OF OBJECT TRACKING AND VELOCITY DETERMINATION
    Authors: SNR Kalli
    Year: 2012
    Citations: 5

  • Title: Image compression by discrete curvelet wrapping technique with simplified SPIHT
    Authors: KSN Reddy, L Rao, P Ravikanth
    Year: 2012
    Citations: 4

  • Title: Identification of criminal & non-criminal faces using deep learning and optimization of image processing
    Authors: K Sivanagireddy, S Jagadeesh, A Narmada
    Year: 2024
    Citations: 3

  • Title: Low memory low complexity image compression using DWT and HS-SPIHT encoder
    Authors: K Sivanagireddy, M Saipravallika, PKC Tejaswini
    Year: 2012
    Citations: 3

  • Title: Reconstruction Using a New Approach By Artificial Neural Network
    Authors: SNRKI Compression
    Year: 2012
    Citations: 3

  • Title: Early Lung Cancer Prediction using Correlation and Regression
    Authors: K Sivanagireddy
    Year: 2022
    Citations: 2

  • Title: Smart Door Lock to Avoid Robberies in ATM
    Authors: VS Reddy, S Kalli, H Gebregziabher, BR Babu
    Year: 2021
    Citations: 2

  • Title: Image Segmentation by Using Modified Spatially Constrained Gaussian Mixture Model
    Authors: S Kalli, BM Bhaskara
    Year: 2016
    Citations: 2

  • Title: Efficient Memory and Low Complexity Image Compression Using DWT with Modified SPIHT Encoder
    Authors: KSN Reddy, VS Reddy, DBR Vikram
    Year: 2012
    Citations: 2

  • Title: Brain Tumor Detection through Image Fusion Using Cross Guided Filter and Convolutional Neural Network
    Authors: MV Srikanth, S Kethavath, S Yerram, SNR Kalli, JB Naik
    Year: 2024
    Citations: 1

  • Title: Autoencoder-based Deep Learning Approach for Intrusion Detection System using Firefly Optimization Algorithms
    Authors: N Kumar Bukka, S Jagadeesh, KS Reddy
    Year: 2024
    Citations: 1

Prof. Kalfalla Awedat | Deep Learning | Best Researcher Award

Prof. Kalfalla Awedat | Deep Learning | Best Researcher Award

Professor at SUNY Morrisville College, United States

👨‍🎓 Profiles

Google Scholar

Publications

Advanced fault detection in photovoltaic panels using enhanced U-Net architectures

  • Authors: Khalfalla Awedat, Gurcan Comert, Mustafa Ayad, Abdulmajid Mrebit
    Journal: Machine Learning with Applications
    Year: 2025

COVID-CLNet: COVID-19 Detection With Compressive Deep Learning Approach

  • Authors: Khalfalla Awedat, Almabrok Essa
    Journal: International Journal of Computer Vision and Image Processing (IJCVIP)
    Year: 2022

Novel Robust Augmentation Approach Based on Sensing Features for Data Classification

  • Authors: Masoud M Alajmi, Khalfalla A Awedat
    Journal: IEEE Access
    Year: 2021

COVID-CLNet: COVID-19 Detection with Compressive Deep Learning Approaches

  • Authors: Khalfalla Awedat, Almabrok Essa
    Journal: arXiv preprint arXiv:2012.02234
    Year: 2020

Efficient face recognition using regularized adaptive non-local sparse coding

  • Authors: Masoud Alajmi, Khalfalla Awedat, Almabrok Essa, Fawaz Alassery, Osama S Faragallah
    Journal: IEEE Access
    Year: 2019

Dr. Aiai Wang | Deep Learning | Best Researcher Award

Dr. Aiai Wang | Deep Learning | Best Researcher Award

Doctorate at University of Science and Technology Beijing, China

👨‍🎓 Profiles

Scopus

Publications

Quantitative Analysis of Pore Characteristics of Nanocellulose Reinforced Cementitious Tailings Fills Using 3D Reconstruction of CT Images

  • Authors: Wang, Aiai; Cao, Shuai; Yilmaz, Erol
    Journal: Journal of Materials Research and Technology
    Year: 2023

Prof. Haigen Hu | Deep Learning | Best Researcher Award

Prof. Haigen Hu | Deep Learning | Best Researcher Award

Professor at Zhejiang University of Technology, China

👨‍🎓 Profiles

Scopus

Google Scholar

Publications

Multipath and noise resilient direction of arrival method for low-cost mechanical arm calibration

  • Authors: Hanmo Chen, Qianwei Zhou, Haigen Hu, Baoqing Li
    Journal: Computers and Electrical Engineering
    Year: 2025

Pruning Networks only Using Few-shot Pre-training Based on Gradient Similarity Frequency

  • Authors: Haigen Hu, Huihuang Zhang, Qianwei Zhou, Tieming Chen
    Journal: IEEE Transactions on Artificial Intelligence
    Year: 2025

An anchor-free instance segmentation method for cells based on mask contour

  • Authors: Qi Chen, Huihuang Zhang, Qianwei Zhou, Qiu Guan, Haigen Hu
    Journal: Applied Intelligence
    Year: 2025

RMFDNet: Redundant and Missing Feature Decoupling Network for salient object detection

  • Authors: Qianwei Zhou, Jintao Wang, Jiaqi Li, Haigen Hu, Keli Hu
    Journal: Engineering Applications of Artificial Intelligence
    Year: 2025

A comprehensive survey on contrastive learning

  • Authors: Haigen Hu, Xiaoyuan Wang, Yan Zhang, Qi Chen, Qiu Guan
    Journal: Neurocomputing
    Year: 2024

Ms. Beenish Khalid | Deep Learning | Best Researcher Award

Ms. Beenish Khalid | Deep Learning | Best Researcher Award

National University of Sciences and Technology , Islamabad, Sweden

👨‍🎓 Profiles

Orcid

Google Scholar

Publications

A triple-shallow CNN with genetic algorithm channel selection method for classifying EEG complex limb movements

  • Author: Beenish Khalid, Ali Hassan, Muhammad Yasin, Muhammad Salman, Muhammad Fasih Uddin Butt, Wadood Abdul, Imran Khan Niazi
    Journal: Biomedical Signal Processing and Control
    Year: 2025

EMD and VMD in Pre-Movement EEG Signal Analysis: A Hybrid Mode Selection to Classify Upper Limb Complex Movements Using Statistical Features

  • Author: Beenish Khalid, Ali Hassan, Ehsan Ullah Munir, Imran Khan Niazi
    Journal: 2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET)
    Year: 2023

EEG Compression Using Motion Compensated Temporal Filtering and Wavelet Based Subband Coding

  • Author: Beenish Khalid, Muhammad Majid, Imran Fareed Nizami, Syed Muhammad Anwar, Majdi Alnowamii
    Journal: IEEE Access
    Year: 2020

Ms. Chetna Kwatra | Deep Learning | Women Researcher Award

Ms. Chetna Kwatra | Deep Learning | Women Researcher Award

Lovely Professional University, India

👨‍🎓 Profiles

Scopus

Orcid

Publications

Harnessing ensemble deep learning models for precise detection of gynaecological cancers

  • Authors: C.V. Kwatra, Chetna Vaid, H. Kaur, Harpreet, S.P. Potharaju, Sai Prasad, D.B. Jadhav, Devyani Bhamare, S.B. Tambe, Sagar B.
    Journal: Clinical Epidemiology and Global Health
    Year: 2025

Dr. Meng Wang | Deep Learning | Best Researcher Award

Dr. Meng Wang | Deep Learning | Best Researcher Award

Doctorate at Xi’an Polytechnic University, China

👨‍🎓 Profiles

Orcid

Publications

Place Your Next Branch with MILE-RUN: Min-dist Location Selection over User Movement

  • Author: Meng Wang
    Journal: Information Sciences
    Year: 2018

PINOCCHIO: Probabilistic Influence-Based Location Selection over Moving Objects

  • Author: Meng Wang
    Journal: IEEE Transactions on Knowledge and Data Engineering (TKDE)
    Year: 2016

Dr. Sageengrana S | Deep Learning | Best Researcher Award

Dr. Sageengrana S | Deep Learning | Best Researcher Award

Doctorate at SRM Institute of Science and Technology, India

👨‍🎓 Profiles

Scopus

Publications

Optimized RB-RNN: Development of hybrid deep learning for analyzing student’s behaviours in online-learning using brain waves and chatbots

  • Authors: S. Sageengrana, S. Subramanian Selvakumar, S. Selvaraj Srinivasan
    Journal: Expert Systems with Applications
    Year: 2024

Mr. Hailong Ning | Deep Learning | Best Scholar Award

Mr. Hailong Ning | Deep Learning | Best Scholar Award

XI’an University of Posts & Telecommunications, China

👨‍🎓 Profiles

Google Scholar

Scopus

Research Gate

Publications

Orientational clustering learning for open-set hyperspectral image classification

  • Authors: Hao Xu, Wenjing Chen, Cheng Tan, Hailong Ning, Hao Sun, Wei Xie
  • Journal: IEEE Geoscience and Remote Sensing Letters
  • Year: 2024

An ensemble learning-enhanced multitask learning method for continuous affect recognition from facial images

  • Authors: Ercheng Pei, Zhanxuan Hu, Lang He, Hailong Ning, Abel Díaz Berenguer
  • Journal: Expert Systems with Applications
  • Year: 2024

Hierarchical Semantic-Guided Contextual Structure-Aware Network for Spectral Satellite Image Dehazing

  • Authors: Lei Yang, Jianzhong Cao, Hua Wang, Sen Dong, Hailong Ning
  • Journal: Remote Sensing
  • Year: 2024

Remote Sensing Image Dehazing via Dual-View Knowledge Transfer

  • Authors: Lei Yang, Jianzhong Cao, He Bian, Rui Qu, Huinan Guo, Hailong Ning
  • Journal: Applied Sciences
  • Year: 2024

Ultra-Lightweight Spatial-Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images

  • Authors: Tao Lei, Xinzhe Geng, Hailong Ning*, Zhiyong Lv, Maoguo Gong, Yaochu Jin, Asoke K. Nandi
  • Journal: IEEE Transactions on Geoscience and Remote Sensing
  • Year: 2023