Prof.Dr. Taskin KavzogluShort-Bio:
Prof. Dr. Taskin Kavzoglu received his B.Sc. degree from Karadeniz Technical University and his M.Sc. and Ph.D. degrees from the University of Nottingham. His doctoral thesis, entitled "An Investigation of the Design and Use of Feed-forward Artificial Neural Networks in the Classification of Remotely Sensed Images", was awarded the Best Ph.D. Thesis of the Year by the Remote Sensing and Photogrammetry Society (RSPSoc) in the United Kingdom.
In addition to numerous international journal articles, conference papers, and project awards, several theses he supervised have also received national and international recognition. Since its first publication, he has been listed in both the "Career" and "Single-Year Performance" categories of Stanford University's World's Top 2% Scientists ranking. He is a Senior Member of IEEE and a full member of the Turkish Academy of Sciences (TÜBA).
His research interests include remote sensing–based monitoring of natural resources and natural hazards, deep learning, machine learning, data mining, climate change, and object-based image analysis. He serves on the editorial boards of several national and international journals. He is the founder and director of the Advanced Remote Sensing Technology Laboratory (ARTLAB), where he leads studies on the impacts of climate change on urban areas, forests, seas, and agricultural lands using advanced remote sensing technologies.
Prof. Dr. Koksal ErenturkShort-Bio:
Köksal Erenturk has a BSc degree from Yıldız Technical University, Department of Electronics & Telecommunication Engineering, İstanbul, Türkiye 1994; MSc degree from the Istanbul University, Institute of Graduate Studies in Applied Sciences, İstanbul, Türkiye 1997; and PhD degree in Electrical Engineering from Karadeniz Technical University, Trabzon, Türkiye 2002. Currently he is serving as a full-professor in Faculty of Engineering, Department of both Electrical and Computer Engineering, at Atatürk University, Erzurum, Türkiye. He has also served as a faculty member at different universities in different countries such as Kuwait, Sweden, Kingdom of Saudi Arabia and etc. He is a member of IEEE since 2008, and holding more than 10 awards from broad area of scientific societies. He has authored and coauthored more than 150 journal and conference papers. His work has focused on machine learning, artificial intelligence, deep learning, generative adversarial networks, fuzzy logic and control, artificial neural networks, genetic algorithms, development and application of control theory to a variety of mechatronic systems, with a focus on observation and estimation-based control as well as highly efficient power converters, resonant and multilevel converters, including the modeling, control, and development of prototypes for various industrial applications in electric traction, renewable energy, power supplies for drives, energy storage devices, and their optimal control for electrified transportation and renewable energy applications.
Prof. Tanupriya ChoudhuryShort-Bio:
Dr. Tanupriya Choudhury received his bachelor’s degree in CSE from West Bengal University of Technology, Kolkata, India, and master’s Degree in CSE from Dr. M.G.R University, Chennai, India. He has received his PhD degree in the year 2016. He has Twelve years of experience in teaching as well as in Research. Currently he is working as an Senior Associate Professor in Cluster of Informatics, in School of CS at UPES Dehradun. Recently he has received Global Outreach Education Award for Excellence in best Young researcher Award in GOECA 2018 His areas of interests include Human computing, Soft computing, Cloud computing, Data Mining etc. He has filed 25 patents till date and received 16 copyrights from MHRD for his own softwares. He has been associated with many conferences in India and abroad. He has authored more than 250 research papers till date. He has delivered invited talk and guest lecture in Jamia Millia Islamia University, Maharaja Agersen college of Delhi University, Duy Tan University Vietnam etc. He has been associated with many conferences throughout India as TPC member and session chair etc. He is a lifetime member of IETA, member of IEEE, and member of IET(UK) and other renowned technical societies. He is associated with Corporate and he is Technical Adviser of Deetya Soft Pvt. Ltd. Noida, IVRGURU, and Mydigital360 etc. He is holding the post of Honorary Secretary in IETA (Indian Engineering Teacher’s Association-India), He is also holding the Senior Advisor Position in INDO-UK Confederation of Science, Technology and Research Ltd., London, UK and International Association of Professional and Fellow Engineers-Delaware-USA.
Dr. Minakshi SinghShort-Bio:
Dr. Minakshi is having 20+ years’ experience and currently serving as an bwhere she is actively involved in teaching, research, and academic mentoring. Her research interests include Artificial Intelligence, Deep Learning, Medical Image Processing, and Healthcare Analytics. Prior to this, she worked as a Professor/HOD at Uttaranchal University, India, where she contributed to curriculum development, student guidance, and academic coordination, while strengthening her research and teaching expertise. Dr. Minakshi is a highly accomplished academician and researcher with over 18 years of experience in Computer Science and Engineering, holding a PhD from Gyan Vihar University, Jaipur (2019), along with an M.Tech and B.Tech from Maharishi Dayanand University, India. Currently serving as Assistant Professor at King Khalid University, Abha, Saudi Arabia, she has previously held prominent roles including Professor and Head of the Department at Uttaranchal University, Dehradun, and Head of Department at Tulas Institute, among other esteemed institutions across India. Her research interests span Artificial Intelligence, Machine Learning, Data Science, Medical Image Segmentation, and Multimedia Forensics, with over 1,520 citations, an h-index of 21, and 94 documents indexed on Google Scholar, alongside 16 filed patents and contributions to several Scopus-indexed books. She is a Senior Member of IEEE and has been recognized with the Outstanding Section Volunteer Award by IEEE UP Section (2022), the Research Excellence Award, and the HOD of the Year Award by the Institute of Scholars (2021). An active contributor to the global academic community, she has delivered numerous keynote addresses, chaired international conference sessions across India, Thailand, and the UK, and is currently leading multiple funded research projects at King Khalid University.
