جستجوی استاد راهنمای دانشگاهی

• Photonics
• Quantitative Phase Imaging
• Optical Metrology
• +۴ مورد دیگر

Gannavarpu Rajshekhar is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), specializing in Photonics. His academic journey includes a PhD from the Swiss Federal Institute of Technology Lausanne (EPFL), an M.Tech from IIT Kanpur, and a B.E. from Pt. Ravishankar Shukla University. PhD: Swiss Federal Institute of Technology Lausanne (EPFL) M.Tech: Indian Institute of Technology Kanpur B.E.: Pt. Ravishankar Shukla University Professor Rajshekhar's research focuses on advanced optical techniques and imaging methodologies. His work spans quantitative phase imaging, optical metrology, applied signal processing, fringe analysis, and biophotonics, with particular emphasis on biomedical applications. His expertise lies at the intersection of photonics, signal processing, and biomedical engineering, developing innovative solutions for precise optical measurement and imaging systems. His research has significant implications for medical diagnostics and precision measurement technologies. Dr. Rajshekhar has received notable recognition including the SERB Early Career Research Award, the prestigious Swiss National Science Foundation Postdoctoral Fellowship, and the Academic Excellence Award at IIT Kanpur. His professional journey includes serving as an Assistant Professor at IIT Kanpur (2014-2018), followed by postdoctoral positions at the University of Illinois, Urbana-Champaign and the Swiss Federal Institute of Technology Lausanne. Based in office ACES 325B at IIT Kanpur, Professor Rajshekhar continues to contribute to the advancement of photonics research and education at one of India's premier technical institutions.

Vasumathi Rameshمشاهده پروفایل

استادیار

• Nuclear Medicine Physics
• Radiopharmaceuticals
• Radiation Protection
• +۵ مورد دیگر

Vasumathi Ramesh serves as Assistant Professor - Selection Grade in the Department of Nuclear Medicine at Manipal College of Health Professions, Manipal Academy of Higher Education. Her academic profile centers on integrating mathematical and physical principles into clinical nuclear medicine practices with emphasis on radiation safety and diagnostic innovation. Her research portfolio spans: Applied mathematics and counting statistics in nuclear medicine quantification Isotope handling protocols and radiation protection frameworks Thyroid disorder epidemiology across diverse populations Biomedical device development for radioisotopic applications Medical image processing algorithm optimization Analysis of her 2022-2023 publications reveals a cohesive research trajectory bridging radiopharmaceutical engineering with translational biomedical challenges. Key thematic threads include quality control methodologies for Tc-99m radiopharmaceuticals, biomaterial solutions for diabetic wound complications, and oxidative stress countermeasures in reproductive toxicology – demonstrating consistent interdisciplinary integration of physics, mathematics, and clinical medicine. No scientific awards or honors were documented in the available profile materials. The provided information contains no details regarding graduate student mentorship, external research funding, or grant-supported projects. Laboratory infrastructure and collaborative research teams were similarly unmentioned in source documentation.

Raghavendra Acharمشاهده پروفایل

دانشیار

• Cloud Computing
• Machine Learning
• Autonomous Vehicles
• +۴ مورد دیگر

Raghavendra Achar is an Associate Professor at the School of Computer Engineering , affiliated with Manipal University in Manipal, Karnataka, India. He holds degrees in Computer Science and Engineering, including a PhD, and contributes extensively to research in technology-driven solutions. Education : BE (CSE), MTech (CSE), PhD (CSE) His research spans Cloud Computing , Machine Learning , and Medical Imaging , with a focus on optimizing cloud resources, developing fuzzy logic systems for medical diagnostics, and enhancing autonomous vehicle technologies. Recent works include: 2024: Cross-layer refinement network for autonomous vehicle localization 2023: Fuzzy logic-based OCT image analysis for diabetic macular edema 2020: Cloud provider selection mechanisms and VM placement strategies 2018: Energy-efficient cloud resource provisioning He collaborates across disciplines, particularly in Artificial Intelligence and Healthcare Technology , though no specific awards or grants are highlighted in the provided text.

Ram Bilas Pachoriمشاهده پروفایل

استاد

• Signal and Image Processing
• Biomedical Signal Processing
• Non-stationary Signal Processing
• +۸ مورد دیگر

Prof. Ram Bilas Pachori is a Professor (Higher Administrative Grade) in the Department of Electrical Engineering at IIT Indore. He holds multiple prestigious fellowships, including IEEE, IET, IETE, IEI, and AAIA. His research focuses on signal processing for biomedical applications, machine learning, and AI in healthcare. Pachori has supervised numerous PhD, M.Tech., and M.S. students, contributing significantly to the field through over 240 thesis examinations and 300+ invited talks. Education: Ph.D. in Signal Processing from IIT Kanpur (2008) M.Tech. in Signal Processing from IIT Kanpur (2003) B.E. in Electronics and Communication Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya (2001) Research Interests: Biomedical signal processing for disease diagnosis Non-stationary signal analysis Brain-computer interface systems Machine learning and IoT in healthcare Professional Roles: Associate Dean of Academic Affairs (UG Programs) at IIT Indore (2020–2023) Editorial roles in journals like IEEE Transactions on Neural Systems and Rehabilitation Engineering Organized over 30 workshops and conferences, including the International Conference on Machine Intelligence and Signal Processing (2017) Awards: AAIA Fellow (2025) IEEE Fellow (2025) IETE Fellow (2017) Labs/Teams: Leads the Signal Analysis Research Lab (SARL) at IIT Indore, focusing on advanced signal processing techniques for healthcare applications.

Kirti Chandra Sahuمشاهده پروفایل

استاد

• Fluid Dynamics
• Multiphase Flows
• Flow Instability
• +۷ مورد دیگر

Prof. Kirti Chandra Sahu is a Professor at the Department of Chemical Engineering, Indian Institute of Technology Hyderabad. His research focuses on fluid dynamics, particularly studying bubbles, drops, multiphase flows, viscosity-stratified flows, and hydrodynamic instabilities. He leads the Multiphase Microphysics Laboratory and has developed advanced facilities like the Raindrops Research Facility for atmospheric studies. PhD in Fluid Mechanics from Jawaharlal Nehru Centre for Advanced Scientific Research (2003-2007) Postdoctoral Research at Imperial College London (2006-2009) Research interests span: Microfluidics and small-scale flow instabilities Numerical solvers using GPU acceleration Thermocapillary and interfacial phenomena Applications in atmospheric science and biomedical engineering His 15 most recent publications highlight advancements in droplet fragmentation, evaporation dynamics, coalescence mechanisms, and computational methods. Awards include Fellowships from INAE (2025), Indian Academy of Sciences (2023), and Institute of Physics, UK (2021), along with recognition as a top 1% reviewer for Journal of Fluid Mechanics. He has mentored 18 PhD students and multiple postdoctoral fellows while serving on editorial boards and international committees. Collaborations extend to institutions in France, Greece, USA, and UK.

Lopamudra Giriمشاهده پروفایل

دانشیار

• Bioimaging
• Systems Biology
• Confocal microscopy
• +۵ مورد دیگر

Lopamudra Giri is an Associate Professor in the Department of Chemical Engineering at the Indian Institute of Technology Hyderabad, India. She holds a Ph.D. from the University of Iowa, Iowa, IA, and her research spans interdisciplinary domains in bioimaging, systems biology, and biomedical technologies. Education: Ph.D., University of Iowa Research Interests: Lopamudra Giri’s work focuses on advancing bioimaging techniques such as confocal microscopy and live cell imaging, integrating systems biology approaches to study complex biological processes, and developing biomedical materials and devices through additive manufacturing. Her research bridges chemical engineering with neuroscience and biomedical engineering, emphasizing innovative applications in health technologies. Contact Information: Office located in Room B-512, Academic Block B, Indian Institute of Technology Hyderabad, Kandi-502284, Sangareddy, Telangana, India. Office phone: (040) 2301 - 6212.