CSE IITH

CSE IITH congratulates Dr. Soumya A for successfully defending her PhD thesis which was advised by Prof. C. Krishna Mohan. We wish her all the best for her future endeavours. #IITHyderabad #CSE

The Department of Computer Science and Engineering at IIT Hyderabad extends a warm welcome to all incoming students. As you begin this exciting chapter, we wish you success in advanced learning, impactful research, innovation, and personal growth. Here's to a journey of discovery, collaboration, and excellence. Wishing you all the very best for the start of the new academic year. Welcome to the CSE family! #IITHyderabad #CSEIITH #Research #Innovation

Department of Computer Science and Engineering at IIT Hyderabad warmly welcomes the incoming UG students to the institute and the department. We wish them a wonderful, enriching, and transformative journey ahead. #IITHyderabad #CSE #BTECH

𝗠𝗼𝘀𝘁 𝗔𝗜 𝗰𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗲𝗮𝗰𝗵 𝘆𝗼𝘂 𝗵𝗼𝘄 𝘁𝗼 𝘂𝘀𝗲 𝗔𝗜. The next wave of AI professionals will need to know how to build AI systems. The AI landscape has evolved rapidly over the past two years. While prompt engineering introduced many of us to Generative AI, the real challenge today lies in designing intelligent systems that can reason, use tools, retrieve knowledge, interact with enterprise applications, and operate reliably in production. That’s the shift we wanted to address while designing the 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗔𝗜 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 at 𝗜𝗜𝗧 𝗛𝘆𝗱𝗲𝗿𝗮𝗯𝗮𝗱. Rather than focusing on isolated AI concepts or individual tools, we’ve built the program around the practical skills required to engineer modern AI applications. Behind every great learning experience are great mentors. That’s why we’ve brought together academic excellence and industry expertise to create a program that is both technically rigorous and deeply practical. If you’re looking to move beyond experimenting with AI and start building AI solutions that create real-world impact, we’d love to have you join us. 🚀 Early bird registrations are filling up quickly, with limited seats available for the first 30 participants. 🔗 Register now: ailaunchpad.cse.iith.ac.in #IITHyderabad #AILaunchpad #AgentHarness #ArtificialIntelligence #AppliedAI #AIAgents #GenerativeAI #AIEngineering #ProfessionalCertification #ExecutiveEducation #Upskilling #MachineLearning

Registrations are now open! Take the next step in your AI journey with the Applied AI Professional Certification Program at IIT Hyderabad. 📅 Program Dates: 1–16 August 2026 📍 Mode: Hybrid (On-campus + Online) 🎓 Early Bird Registration: ₹20,000 (Limited seats) 🔗 Website: ailaunchpad.cse.iith.ac.in 📝 Registration Form: docs.google.com/forms/d/e/1FAI… #IITHyderabad #ArtificialIntelligence #GenerativeAI #AIAgents #AIEngineering #ProfessionalEducation #ExecutiveEducation #Upskilling #MachineLearning

Registrations Now Open | Applied AI Professional Certification Program Artificial Intelligence is rapidly moving from experimentation to production. As organizations increasingly adopt AI agents and intelligent automation, the need for professionals who can build reliable, production-ready AI systems has never been greater. To help bridge this gap, IIT Hyderabad is launching the Applied AI Professional Certification Program, a hands-on learning experience designed for working professionals looking to develop practical AI engineering skills. The program combines classroom instruction, guided assignments, and real-world projects to provide participants with the knowledge and experience required to design, build, evaluate, and deploy modern AI applications. Whether you're a software engineer, architect, product professional, or AI enthusiast, this program offers an opportunity to learn from experts and earn a Professional Certificate from IIT Hyderabad. Program Dates: 1–16 August 2026 Mode: Hybrid (On-campus + Online) Early Bird Registration: ₹20,000 (Limited seats) Website link: ailaunchpad.cse.iith.ac.in Registration form link: docs.google.com/forms/d/e/1FAI… Learn from leading experts: Prof. Praveen Tammana Mr. Koundinya #IITHyderabad #ArtificialIntelligence #GenerativeAI #AIAgents #AIEngineering #ProfessionalEducation #ExecutiveEducation #Upskilling #MachineLearning

📢 Applications Open for 2nd Round | M. Tech. in Data Science (MDS) | IIT Hyderabad Take the next step in your professional journey with the M. Tech. in Data Science (MDS) programme offered by the Department of Computer Science and Engineering, IIT Hyderabad. Designed exclusively for industry professionals, this flexible programme enables you to earn an IIT Hyderabad M. Tech. degree while continuing your career. Why Choose MDS at IIT Hyderabad? 🎓 Equivalent to the Regular M. Tech. Programme 💻 Online, self-paced programme that can be completed over 3–4 years 📅 Weekend and selected weekday classes designed for working professionals 🌍 Attend classes from anywhere in the world (End-semester examinations are typically conducted on campus) 👨‍🏫 Learn from renowned IIT Hyderabad faculty and strengthen your expertise in Data Science, Artificial Intelligence, Machine Learning, and related areas. Eligibility ✅ B. Tech./B.E. in CS/IT/ECE/EE, or MCA, or M. Sc./M.S./M.E./M.Tech. in CS/IT ✅ Minimum 70% marks or 7.0 CGPA in the qualifying degree ✅ At least 3 years of relevant industry experience and currently employed in industry ✅ Exceptional candidates from other engineering disciplines with outstanding academic records and strong programming or Data Science experience may also be considered. Important Dates 🗓 Application Start Date: 10.07.2026 (Applications open!) 🗓 Application Deadline : 20.07.2026 📖 Programme Details:cse.iith.ac.in/admissions/mte… 📝 Apply Now: forms.gle/1Mh6tv1H7kN3Q9… #IITHyderabad #IITH #CSEIITH #MTech #DataScience #ArtificialIntelligence #MachineLearning #WorkingProfessionals #OnlineLearning #HigherEducation #Admissions2026

The Department of Computer Science and Engineering, IIT Hyderabad is delighted to announce the successful completion of the INAE Centre for Engineering Education Excellence (CEEE) 2026 program in the Computer Science & Information Technology domain, held from June 8–28, 2026. Over the course of the program, about 60 faculty members from AICTE-approved engineering institutions participated in expert-led sessions, hands-on learning, and collaborative discussions with distinguished mentors from IIT Hyderabad. The program covered 5 important courses of CSE: (i) Data-structures and Algorithms, (ii) Operating Systems/Computer Networks, (iii) Computer Organization/Architecture, (iv) Database Systems, and (v) Machine Learning The Department sincerely acknowledges the invaluable contributions of our esteemed mentors: Prof. Abhijit Das, Prof. Bheemarjuna Reddy Tamma, Prof. Maunendra Sankar Desarkar, Prof. Rajesh Kedia, Prof. Ramakrishna Upadrasta, and Prof. Shirshendu Das. We extend our heartfelt gratitude to INAE, Infosys Foundation, AICTE, all participants, organizers, and supporting staff for making this program a grand success. Empowering Faculty. Strengthening Engineering Education. Building the Future. #INAECEEE2026 #IITHyderabad #CSEIITH #FacultyDevelopment #HigherEducation #AICTE #INAE #InfosysFoundation

🏆 Paper Acceptance Announcement 🎉 Paper titled "Improving TensorSketch Using Complex Random Variables" has been accepted at Conference on Uncertainty in Artificial Intelligence (UAI), 2026. 👨‍💻 Authors : Amit Sharma, Mohammad Azhar Khan, Rameshwar Pratap, Keegan Kang. 👏 Congratulations to all the authors! 🔍 Key Highlight: We propose Complex-to-Real TensorSketch, a sketching method for high-dimensional data that achieves lower variance than classical TensorSketch while retaining the same time complexity. #AI #MachineLearning #UAI2026 #IITHyderabad #CSE

📢 NPTEL Course Announcement Course Title: Deep Learning for Computer Vision Course Instructor: Prof. Vineeth N Balasubramanian, Department of Computer Science and Engineering, IIT Hyderabad. The course is offered for free via NPTEL. 🔗 Course Link: onlinecourses.nptel.ac.in/e-learning/pre… Start Date : 20 Jul 2026 End Date : 09 Oct 2026 Enrollment Ends: 27 Jul 2026 🆓 Enrollment is FREE for all learners. 📢 Please enroll and share with students, researchers, and academic groups who may benefit from this course. #NPTEL #DeepLearning #ComputerVision #IITHyderabad #CSE

📢 NPTEL Course Announcement Course Title: Computational Complexity Course Instructor: Prof. Subrahmanyam Kalyanasundaram (a.k.a. Prof. Subruk), Department of Computer Science and Engineering, IIT Hyderabad. The course is offered for free via NPTEL. 🔗 Course Link: onlinecourses.nptel.ac.in/e-learning/pre… Start Date : 20 Jul 2026 End Date : 09 Oct 2026 Enrollment Ends: 27 Jul 2026 🆓 Enrollment is FREE for all learners. 📢 Please enroll and share with students, researchers, and academic groups who may benefit from this course. #NPTEL #ComputationalComplexity #IITHyderabad #CSE

📢 NPTEL Course Announcement 🎓 Foundations of Machine Learning offered via NPTEL 🔗 Course Link: onlinecourses.nptel.ac.in/noc26_cs102/pr… This course is ideal for: ✅ Students planning to start research in core Machine Learning ✅ Learners who want to understand the theoretical foundations of ML ✅ Anyone curious about bridging the gap between classical theory and modern ML understanding 📘 Prerequisites: Basic engineering mathematics knowledge, especially: • Linear Algebra • Probability Theory • Optimization 🆓 Enrollment is FREE for all learners. Last Date to Enroll : July 27, 2026 📢 Please enroll and share with students, researchers, and academic groups who may benefit from this course. #NPTEL #MachineLearning #Research #IITHyderabad #CSE

CSE IITH heartily welcomes Dr. Shibam Ghosh as a new faculty member of our department. Kindly join us in welcoming and wishing him all the success. Dr. Shibam Ghosh can be reached at shibam@cse.iith.ac.in More details about his research and interests can be found at shibamcrs.github.io #IITHyderabad #CSE

🚀 Linux and Systems Security Bootcamp 2026 🛡️ 📍 Venue: CSE Seminar Hall-1, CS-EE Building, IIT Hyderabad 📅 Dates: 29 June – 03 July 2026 🏛️ Organized under ISEA Phase III, Center for Cryptography and Cybersecurity - CCS, IIT Hyderabad Why Attend? • Gain practical exposure to Linux administration, infrastructure security, and automation • Learn hands-on techniques for securing and monitoring modern Linux infrastructures • Work with tools and technologies such as Docker, LXD, QEMU-KVM, Zeek, Suricata, Wazuh, Kubernetes, Bash scripting, and more • Explore Linux environments including bare-metal, virtualized, and containerized systems • Understand DevOps, Cloud (BMaaS, IaaS), HPC, and security best practices Target Audience: • BTech/MTech/PhD students from CS/AI/ECE/EE/IT streams • M. Sc. students from CS/IT and MCA students • Academia and industry professionals Prerequisites: Basic knowledge of computer architecture, programming, operating systems, and computer networks is required. Instructors: Dr. Maruthi S. Inukonda (CCS, IIT Hyderabad) Mr. PVSN Raju (HPC Lead, Shell Technologies) Registration Details: 💰 Registration Fee: ₹1000 (for shortlisted candidates) Includes bootcamp material, accommodation at IITH hostels, lunch & refreshments 🎯 Top performers may be considered for internship and pre-doctoral opportunities in the ISEA Project and CCS, IIT Hyderabad. 📄 Apply here : faas.isea.app/formview/Bootc… 📅 Deadline to apply: 10 June 2026 📩 For queries: isea@cse.iith.ac.in 🕒 Limited seats available — apply soon! #IITHyderabad #Linux #CyberSecurity #SystemSecurity #ISEA #Bootcamp2026 #LinuxSecurity #DevOps #CloudComputing #CCS

Paper Acceptance Announcement 🎉 Paper titled "Diagnosing Evidence Utilization in Multimodal Document Question Answering" has been accepted at ACM SIGKDD 2026 Research Track. Authors: Debolena Basak, Digbalay Bose, Koustava Goswami, Maunendra Sankar Desarkar 👏 Congratulations to all the authors! 🔍 Key Highlight: This paper conducts a comprehensive diagnosis of how effectively 7 popular Multimodal Large Language Models (MLLMs) use relevant evidence for document question answering across text, image, table, chart, and cross-modal inputs. Results reveal a strong reliance on text-based evidence, with notably weaker performance on image-only and cross-evidence inputs, a gap that supervised fine-tuning also fails to consistently close. Attention-based analysis further shows that low attention to image tokens contributes to poor utilisation of image evidence, highlighting the key limitations in current MLLMs. #CSEIITH #IITH #ArtificialIntelligence #MachineLearning #SIGKDD2026

Paper Acceptance Announcement 🎉 Paper titled "SLIM: A Scalable Large Integer Multiplier with Run-time Configurable Operand Length for FPGAs" has been accepted at the IEEE Computer Society Annual Symposium on VLSI (ISVLSI) 2026. Authors: Sasi Snigdha Yadavalli (IIIT Bangalore and SURE intern 2025 at IITH) and Rajesh Kedia (IITH) 👏 Congratulations to the authors! 🔍 Key Highlight: The paper proposes a highly configurable and scalable large integer multiplier, SLIM, which multiplies slices of the large operands using a smaller base multiplier. SLIM is designed for FPGAs and combines runtime configurable operand width with design-time configurable base multiplier width and the interface width for streaming operands and result. It consumes considerably less time and FPGA resources compared to existing runtime configurable large integer multipliers. #VLSI #CSEIITH #IITH #ComputerArchitecture #DigitalDesign #ISVLSI2026

Heartiest congratulations to Dr. Jyothi Vedurada from the Department of CSE, IITH, on being selected for the prestigious HPE Dr. APJ Abdul Kalam HPC & AI Award 2026. This recognition highlights her impactful contributions in the area of High-Performance Computing. We wish her many more achievements ahead. #MomentOfPride #IITH #CSEIITH #HPC

Paper Acceptance Announcement 🎉 Paper titled "Liquid Tree Automata" has been accepted at Computer Aided Verification (CAV 2026), Lisbon, Portugal. Authors: Ashish Mishra (IITH), Suresh Jagannathan (Purdue University) 👏 Congratulations to all the authors! 🔍 Key Highlight: Component-based synthesis (CBS) is a powerful technique for generating programs from library methods, but its effectiveness is often hindered by the complexity of logical constraints. This work introduces Liquid Tree Automata (LTA), a novel automata variant designed to significantly accelerate the search for feasible solutions in synthesis. LTA integrates the typing rules of refinement type systems directly into the automata construction. #cav2026 #IITHyderabad