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PHD in Computing And Electrical Engineering at Indian Institute of Technology Mandi

Indian Institute of Technology Mandi stands as a premier institution located in Kamand Valley, Mandi, Himachal Pradesh. Established in 2009, this autonomous Institute of National Importance is renowned for its academic rigor and a diverse campus ecosystem. Offering popular programs in engineering, sciences, and humanities, IIT Mandi achieved the 31st rank among engineering colleges in NIRF 2024. The institute also boasts strong placement outcomes, with a median B.Tech salary of ₹18.5 LPA in 2023-24.

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Mandi, Himachal Pradesh

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About the Specialization

What is Computing and Electrical Engineering at Indian Institute of Technology Mandi Mandi?

This PhD program in Computing and Electrical Engineering at IIT Mandi focuses on advanced research across diverse domains like AI/ML, VLSI, communication, power systems, and cybersecurity. It nurtures cutting-edge innovation crucial for India''''s technological self-reliance (Atmanirbhar Bharat), addressing key challenges in smart infrastructure, digital transformation, and sustainable energy solutions. The program is designed to produce thought leaders and innovators for India''''s rapidly expanding tech and R&D sectors.

Who Should Apply?

This program is ideal for highly motivated individuals holding M.Tech/M.E/B.Tech degrees with exceptional academic records. It attracts fresh graduates aspiring to contribute to fundamental research, and working professionals seeking to transition into R&D leadership roles or academia. Candidates with a strong foundation in mathematics, programming, and a clear research aptitude are particularly well-suited for this rigorous, research-intensive specialization.

Why Choose This Course?

Graduates of this program can expect to secure impactful roles as research scientists in premier R&D labs (DRDO, ISRO), lead academic positions in IITs/NITs, or join advanced engineering teams in global MNCs and leading Indian tech companies like TCS, Wipro, and Infosys. Entry-level salaries for PhDs in India typically range from INR 10-25 lakhs annually, with significant growth potential into senior research and management roles.

Student Success Practices

Foundation Stage

Master Advanced Coursework- (Initial 1-2 Semesters)

Dedicate significant effort to excel in the initial coursework (e.g., CSE601 Advanced Algorithms, CSE607 Advanced Machine Learning). Focus on deep theoretical understanding and problem-solving. These courses build the critical foundation for your specialized research area.

Tools & Resources

NPTEL advanced courses, IEEE Xplore, arXiv, University Library resources

Career Connection

Strong coursework performance is crucial for comprehensive exams and demonstrates intellectual rigor, which is highly valued by academic institutions and industrial research labs in India.

Identify Research Area and Advisor- (Initial 2-3 Semesters)

Actively explore faculty research profiles, attend department seminars, and engage in discussions with potential advisors. Align your research interests with ongoing projects or emergent challenges relevant to India''''s technological landscape.

Tools & Resources

SCEE Faculty Research Pages, Departmental seminar series, Research Group meetings

Career Connection

A well-defined research area and a supportive advisor are pivotal for a successful PhD journey and for positioning your work effectively for Indian and global R&D opportunities.

Develop Strong Research Methodology Skills- (Initial 1-3 Semesters)

Focus on developing robust skills in literature review, experimental design, data analysis, and scientific writing. Attend workshops on research ethics and methodology offered by the institute.

Tools & Resources

Zotero/Mendeley for citation management, MATLAB/Python for data analysis, Academic writing workshops

Career Connection

Proficiency in research methodology is a core skill for any R&D role, ensuring the credibility and impact of your contributions, whether in academia or industry in India.

Intermediate Stage

Publish in Reputable Conferences and Journals- (Semesters 3-5)

Aim for at least one publication in a high-impact, peer-reviewed international conference (e.g., IEEE/ACM sponsored) or journal. This demonstrates research productivity and validates your work within the global scientific community.

Tools & Resources

Scopus/Web of Science, Conference submission platforms (EDAS, EasyChair), LaTeX for scientific writing

Career Connection

Publications are critical for securing postdoctoral positions, faculty roles in Indian universities, and research scientist roles in top-tier R&D organizations.

Engage in Interdisciplinary Collaboration- (Semesters 3-6)

Seek opportunities to collaborate with researchers from other departments or institutions, especially those working on real-world problems relevant to Indian society (e.g., healthcare, agriculture, smart infrastructure).

Tools & Resources

IIT Mandi Interdisciplinary Research Centers, National research initiatives

Career Connection

Interdisciplinary work broadens your perspective, enhances problem-solving skills, and opens up diverse career avenues in complex problem domains in India and globally.

Participate in National/International Workshops and Summer Schools- (Semesters 4-7)

Attend specialized workshops and summer schools to gain exposure to advanced topics, learn new techniques, and network with leading researchers in your field. This is crucial for staying updated with global research trends.

Tools & Resources

DST/SERB sponsored workshops, International summer schools, Travel grants (e.g., from IIT Mandi, SERB)

Career Connection

Networking and skill enhancement from such events often lead to collaborations, internships, and can significantly bolster your profile for future academic or industrial roles.

Advanced Stage

Innovate and Seek Patent Opportunities- (Semesters 6-8 (and beyond))

Beyond publications, actively identify potential intellectual property (IP) from your research. Collaborate with the institute''''s IP cell to explore patenting innovative solutions, particularly those with commercial viability in the Indian market.

Tools & Resources

IIT Mandi''''s Intellectual Property Cell, Patent databases (Indian Patent Office, Google Patents)

Career Connection

Patents are highly valued by R&D companies and contribute significantly to your profile for entrepreneurship, technology transfer, or senior research roles, making you a key asset for Indian innovation.

Present Research at Leading Forums- (Semesters 5-8)

Present your mature research findings at top-tier national and international conferences. This hones presentation skills, solicits critical feedback, and builds your reputation within the research community.

Tools & Resources

PPT/Keynote, Conference proceedings, Professional body memberships (IEEE, ACM)

Career Connection

Effective presentation skills are vital for academic job talks, industry presentations, and pitching ideas to investors, crucial for leadership roles in India''''s tech ecosystem.

Develop Grant Writing Skills and Leadership Qualities- (Semesters 7-8 and onwards)

Work with your advisor to understand the grant application process. Engage in mentoring junior researchers or teaching assistant roles to cultivate leadership and communication skills, essential for leading research groups or academic departments in India.

Tools & Resources

SERB/DST funding calls, UGC research grants, Mentorship programs

Career Connection

Grant writing proficiency is fundamental for an academic career, while leadership skills prepare you for leading R&D teams in both public and private sectors in India.

Program Structure and Curriculum

Eligibility:

  • Master''''s degree in Engineering/Technology (M.Tech./M.E./M.S. by Research) in relevant discipline with minimum CPI of 6.5 or 60% marks; OR Bachelor''''s degree in Engineering/Technology (B.Tech./B.E./B.S.) in relevant discipline from any IIT/IISc or other CFTIs with minimum CPI of 8.0 or 75% marks; OR Master''''s degree in Science (M.Sc./M.A./M.Phil./MBA/MCA) in relevant discipline with minimum CPI of 6.5 or 60% marks, and valid GATE/UGC-NET/CSIR-JRF/INSPIRE fellowship.

Duration: Minimum 3 years (Full-time), up to a maximum of 7 years

Credits: Minimum 16 credits (for M.Tech/M.E/M.S by Research degree holders); Minimum 32 credits (for B.Tech/B.E/B.S degree holders); Minimum 24 credits (for M.Sc/M.A/M.Phil/MBA/MCA degree holders). This is for coursework, followed by thesis credits. Credits

Assessment: Assessment pattern not specified

Semester-wise Curriculum Table

Semester 1

Subject CodeSubject NameSubject TypeCreditsKey Topics
CSE601Advanced AlgorithmsAdvanced Elective3Algorithmic paradigms, Computational complexity theory, Approximation algorithms, Randomized algorithms, Online algorithms, Parallel and distributed algorithms
CSE602Advanced Data StructuresAdvanced Elective3Amortized analysis, Advanced tree structures (B-trees, red-black trees), Graph data structures, Hashing techniques, Persistent data structures, Geometric data structures
CSE603Advanced Operating SystemsAdvanced Elective3Distributed operating systems, Real-time operating systems, Virtualization, Cloud operating systems, Security in operating systems, Concurrency control and fault tolerance
CSE604Advanced Computer ArchitectureAdvanced Elective3Pipelining and superscalar architectures, Memory hierarchy and coherence, Multiprocessor and multicore architectures, GPU architecture, Domain-specific architectures, Interconnection networks
CSE605Advanced Database Management SystemsAdvanced Elective3Distributed databases, NoSQL databases, Graph databases, Cloud databases, Database security and privacy, Transaction processing and concurrency control
CSE606Advanced Computer NetworksAdvanced Elective3Software-defined networking (SDN), Network function virtualization (NFV), Content delivery networks (CDN), Network security protocols, Wireless and mobile networks, Internet of Things (IoT) networking
CSE607Advanced Machine LearningAdvanced Elective3Ensemble methods, Kernel methods, Deep learning architectures, Reinforcement learning, Bayesian learning, Generative models
CSE608Advanced Artificial IntelligenceAdvanced Elective3Knowledge representation and reasoning, Search and optimization in AI, Robotics and autonomous agents, Natural language understanding, Planning and scheduling, Ethical AI and societal impact
CSE609Advanced CryptographyAdvanced Elective3Elliptic curve cryptography, Homomorphic encryption, Zero-knowledge proofs, Post-quantum cryptography, Blockchain cryptography, Secure multi-party computation
CSE610Advanced Distributed SystemsAdvanced Elective3Consistency models, Fault tolerance and replication, Distributed consensus (Paxos, Raft), Distributed file systems, Cloud computing architectures, Big data processing frameworks
CSE611Advanced CompilersAdvanced Elective3Program analysis and optimization, Intermediate representations, Code generation for parallel architectures, Just-in-time compilation, Garbage collection algorithms, Compiler verification
CSE612Advanced Software EngineeringAdvanced Elective3Software architecture patterns, DevOps and continuous delivery, Formal methods in software engineering, Software testing and verification, Empirical software engineering, Software project management and quality assurance
CSE613Advanced Image ProcessingAdvanced Elective3Image restoration and super-resolution, Feature extraction and matching, Image segmentation and object recognition, Medical imaging techniques, Deep learning for image processing, Image compression and watermarking
CSE614Advanced Computer VisionAdvanced Elective33D vision and scene reconstruction, Object detection and tracking, Action recognition and activity analysis, Generative models for vision, Explainable AI in computer vision, Vision for robotics and autonomous systems
CSE615Advanced Natural Language ProcessingAdvanced Elective3Deep learning for NLP (Transformers), Machine translation, Text summarization and generation, Sentiment analysis and opinion mining, Information extraction and knowledge graphs, Conversational AI and dialogue systems
CSE616Advanced Wireless CommunicationAdvanced Elective3MIMO and massive MIMO systems, Millimeter wave communication, Cognitive radio networks, Next-generation (5G/6G) wireless systems, Resource allocation and scheduling, Wireless security and privacy
CSE617Advanced Digital Signal ProcessingAdvanced Elective3Multirate signal processing, Adaptive filters, Wavelet transforms, Spectrum estimation, Array signal processing, Sparse signal processing
CSE618Advanced Embedded SystemsAdvanced Elective3Real-time operating systems for embedded systems, Embedded system security, Low-power design techniques, Hardware-software co-design, Embedded AI and machine learning accelerators, Networked embedded systems and IoT devices
CSE619Advanced VLSI DesignAdvanced Elective3CMOS scaling and technology trends, High-performance digital circuits, Analog and mixed-signal VLSI, VLSI testing and fault diagnosis, Design for manufacturability (DFM), Emerging memory technologies
CSE620Advanced Power SystemsAdvanced Elective3Smart grids and microgrids, Renewable energy integration, Power system stability and control, High voltage DC (HVDC) transmission, Power system protection, Electricity markets and grid management
CSE621Advanced Control SystemsAdvanced Elective3Nonlinear control systems, Adaptive control, Robust control, Optimal control theory, Model predictive control, Stochastic control systems
CSE622Advanced Communication SystemsAdvanced Elective3Information theory and coding, Spread spectrum techniques, Optical communication systems, Satellite communication, Cognitive radio networks, Quantum communication
CSE623Advanced Digital CommunicationAdvanced Elective3Channel coding and decoding, Modulation and demodulation techniques, Orthogonal frequency-division multiplexing (OFDM), Spread spectrum communication, Error control coding, Synchronization techniques
CSE624Advanced Optical CommunicationAdvanced Elective3Optical fiber types and properties, Optical transmitters and receivers, Wavelength division multiplexing (WDM), Optical networks and protocols, Free-space optical communication, Quantum key distribution
CSE625Advanced RF and Microwave EngineeringAdvanced Elective3Microwave network analysis, RF circuit design (amplifiers, mixers), Antenna theory and design, Radar systems, RF and microwave measurements, Millimeter-wave and terahertz technology
CSE626Advanced Semiconductor DevicesAdvanced Elective3Quantum mechanics in semiconductors, Heterojunction devices, Nanoscale devices (FinFETs, nanowires), Optoelectronic devices, Power semiconductor devices, Device fabrication and characterization
CSE627Advanced Quantum ComputingAdvanced Elective3Quantum mechanics fundamentals, Quantum gates and circuits, Quantum algorithms (Shor''''s, Grover''''s), Quantum error correction, Quantum hardware platforms, Quantum entanglement and teleportation
CSE628Advanced Cyber SecurityAdvanced Elective3Threat intelligence and analysis, Advanced persistent threats (APTs), Blockchain security, Cloud security, IoT security, Incident response and forensics
CSE629Advanced RoboticsAdvanced Elective3Robot kinematics and dynamics, Motion planning and control, Robot vision and perception, Human-robot interaction, Mobile robotics and navigation, Swarm robotics
CSE630Advanced IoTAdvanced Elective3IoT architectures and protocols, Edge and fog computing for IoT, IoT security and privacy, IoT data analytics, Industrial IoT (IIoT), Smart city applications
CSE631Advanced Blockchain TechnologyAdvanced Elective3Cryptographic primitives for blockchain, Consensus mechanisms (PoW, PoS, DPoS), Smart contracts and DApps, Permissioned vs. permissionless blockchains, Scalability solutions for blockchain, Blockchain in supply chain and finance
CSE632Advanced Cloud ComputingAdvanced Elective3Cloud virtualization technologies, Cloud storage architectures, Cloud security and compliance, Serverless computing, Cloud-native development, Multi-cloud and hybrid cloud strategies
CSE633Advanced Data ScienceAdvanced Elective3Big data analytics frameworks, Feature engineering and selection, Statistical modeling for data science, Causal inference, Time series analysis, Ethical considerations in data science
CSE634Advanced Game TheoryAdvanced Elective3Non-cooperative games, Repeated games and folk theorems, Evolutionary game theory, Mechanism design, Auctions and bargaining, Applications in economics and computer science
CSE635Advanced Optimization TechniquesAdvanced Elective3Convex optimization, Nonlinear programming, Metaheuristic algorithms, Multi-objective optimization, Distributed optimization, Optimization for machine learning
CSE636Advanced Parallel ComputingAdvanced Elective3Parallel programming models (MPI, OpenMP, CUDA), Parallel architectures (multicores, GPUs, clusters), Performance analysis and optimization, Distributed memory programming, Parallel algorithms design, Scalability and heterogeneity in parallel systems
CSE637Advanced Quantum CryptographyAdvanced Elective3Quantum key distribution (QKD) protocols, Quantum entanglement and Bell states, No-cloning theorem, Quantum authentication, Quantum digital signatures, Practical implementations and challenges
CSE638Advanced Satellite CommunicationAdvanced Elective3Satellite orbits and constellations, Link design and budget analysis, Multiple access techniques (TDMA, FDMA, CDMA), Satellite antennas and transponders, Propagation effects and mitigation, Next-generation satellite systems
CSE639Advanced Sensor NetworksAdvanced Elective3Wireless sensor network architectures, MAC protocols for WSNs, Routing protocols for WSNs, Data aggregation and fusion, Security in sensor networks, Energy efficiency and lifetime optimization
CSE640Advanced Social Network AnalysisAdvanced Elective3Network centrality measures, Community detection algorithms, Network dynamics and evolution, Information diffusion in networks, Link prediction, Social media analytics
CSE641Advanced Speech ProcessingAdvanced Elective3Speech recognition (ASR), Speech synthesis (TTS), Speaker recognition and diarization, Acoustic modeling (HMMs, deep learning), Speech enhancement and noise reduction, Emotion recognition from speech
CSE642Advanced Storage SystemsAdvanced Elective3Storage area networks (SAN) and network-attached storage (NAS), Distributed and cloud storage, Data deduplication and compression, Storage security and integrity, Flash memory and non-volatile memory technologies, RAID architectures and data protection
CSE643Advanced Swarm IntelligenceAdvanced Elective3Ant colony optimization (ACO), Particle swarm optimization (PSO), Firefly algorithm, Bat algorithm, Cuckoo search, Applications in optimization and machine learning
CSE644Advanced System on Chip DesignAdvanced Elective3SoC architectures and platforms, IP core integration and verification, Low-power SoC design, Hardware-software co-verification, Network-on-Chip (NoC), Design for testability (DFT) in SoCs
CSE645Advanced Vehicular Ad-Hoc NetworksAdvanced Elective3VANET architectures and characteristics, Routing protocols in VANETs, MAC protocols for vehicular communication, Security and privacy in VANETs, Applications of VANETs (traffic safety, intelligent transport), V2X communication standards
CSE646Advanced Wireless Sensor NetworksAdvanced Elective3Localization algorithms in WSNs, Security and privacy in WSNs, Energy harvesting for WSNs, Underwater acoustic sensor networks, Body area networks (BANs), Distributed signal processing in WSNs
CSE647Advanced Cognitive Radio NetworksAdvanced Elective3Spectrum sensing techniques, Spectrum management and sharing, Cognitive radio MAC and routing protocols, Dynamic spectrum access, Cross-layer design for CRNs, Security in cognitive radio networks
CSE648Advanced Bio-Inspired ComputingAdvanced Elective3Evolutionary algorithms (Genetic Algorithms, GP), Swarm intelligence (ACO, PSO), Neural networks and deep learning, Artificial immune systems, Membrane computing, Nature-inspired optimization
CSE649Advanced Neuro-Fuzzy SystemsAdvanced Elective3Fuzzy set theory and fuzzy logic, Artificial neural networks revisited, Neuro-fuzzy hybridization techniques, Adaptive neuro-fuzzy inference systems (ANFIS), Applications in control and pattern recognition, Learning algorithms for neuro-fuzzy systems
CSE650Advanced Evolutionary AlgorithmsAdvanced Elective3Genetic algorithms (GAs), Genetic programming (GP), Evolutionary strategies (ES), Evolutionary computation for multi-objective optimization, Differential evolution, Hybrid evolutionary algorithms
CSE651Advanced Fuzzy LogicAdvanced Elective3Fuzzy set operations and properties, Fuzzy relations and approximate reasoning, Fuzzy inference systems (Mamdani, Sugeno), Type-2 fuzzy systems, Fuzzy control systems, Applications in decision making and pattern recognition
CSE652Advanced Genetic AlgorithmsAdvanced Elective3Encoding schemes and population initialization, Selection operators, Crossover and mutation operators, Convergence analysis of GAs, Parallel and distributed GAs, Constraint handling in GAs
CSE653Advanced Neural NetworksAdvanced Elective3Recurrent neural networks (RNNs, LSTMs, GRUs), Convolutional neural networks (CNNs), Generative adversarial networks (GANs), Autoencoders and variational autoencoders, Attention mechanisms and Transformers, Neural network architectures for specific tasks
CSE654Advanced Pattern RecognitionAdvanced Elective3Statistical pattern recognition, Syntactic pattern recognition, Deep learning for pattern recognition, Feature extraction and dimensionality reduction, Clustering algorithms (advanced), Ensemble methods for pattern classification
CSE655Advanced Reinforcement LearningAdvanced Elective3Markov decision processes (MDPs), Value function approximation (Q-learning, SARSA), Policy gradient methods (REINFORCE, A2C, A3C), Deep reinforcement learning (DQN, DDPG, PPO), Model-based RL and planning, Multi-agent reinforcement learning
CSE656Advanced Deep LearningAdvanced Elective3Transformer networks and attention mechanisms, Generative models (GANs, VAEs, diffusion models), Graph neural networks (GNNs), Reinforcement learning with deep networks, Interpretability and explainability in deep learning, Adversarial attacks and defenses in deep learning
CSE657Advanced Human Computer InteractionAdvanced Elective3Usability and user experience design, Gestural and haptic interfaces, Brain-computer interfaces (BCIs), Augmented and virtual reality interfaces, Ubiquitous and pervasive computing interaction, Affective computing and emotion recognition
CSE658Advanced Virtual RealityAdvanced Elective3VR hardware and display technologies, 3D graphics and rendering for VR, Human perception and cognitive aspects in VR, Interaction techniques in virtual environments, VR content creation and development platforms, Applications of VR (training, healthcare, entertainment)
CSE659Advanced Augmented RealityAdvanced Elective3AR display technologies and devices, Tracking and registration techniques in AR, Real-time rendering for AR, Human-computer interaction in AR, AR content creation and authoring tools, Applications of AR (industrial, medical, retail)
CSE660Advanced Mixed RealityAdvanced Elective3Continuum of virtuality and reality, Spatial computing and environment understanding, Multi-modal interaction in MR, MR application development frameworks, Ethical and societal implications of MR, Future trends in immersive technologies
CSE661Advanced Game DevelopmentAdvanced Elective3Game engine architecture, Advanced graphics and rendering pipelines, Physics simulation in games, Artificial intelligence for games, Networked game development, Game design patterns and advanced topics
CSE662Advanced Computer GraphicsAdvanced Elective3Ray tracing and path tracing, Global illumination techniques, Real-time rendering and physically based rendering (PBR), GPU programming (CUDA, OpenCL), Geometric modeling and animation, Volume rendering and scientific visualization
CSE663Advanced Web TechnologiesAdvanced Elective3Progressive Web Apps (PWAs), WebAssembly (Wasm), Serverless web development, GraphQL and API design, Web security and performance optimization, Decentralized web technologies (Web3)
CSE664Advanced Mobile ComputingAdvanced Elective3Mobile operating systems (Android, iOS) internals, Location-based services and context awareness, Mobile sensing and analytics, Mobile cloud computing and offloading, Mobile security and privacy, Wearable computing and ubiquitous computing
CSE665Advanced Pervasive ComputingAdvanced Elective3Context-aware computing, Ubiquitous sensing and actuation, Smart environments and smart spaces, Middleware for pervasive computing, Privacy and security in pervasive systems, Human-computer interaction in ubiquitous contexts
CSE666Advanced Distributed ComputingAdvanced Elective3Concurrency control in distributed systems, Distributed transactions and consistency models, Fault tolerance and replication strategies, Distributed consensus algorithms (Paxos, Raft), Cloud computing paradigms (IaaS, PaaS, SaaS), Big data processing frameworks (Hadoop, Spark)
CSE667Advanced Grid ComputingAdvanced Elective3Grid architecture and middleware, Resource management and scheduling in grids, Data management in grid environments, Security in grid computing, Workflow management in scientific grids, Service-oriented architecture for grids
CSE668Advanced High Performance ComputingAdvanced Elective3Parallel architectures (supercomputers, clusters, GPUs), Parallel programming models (MPI, OpenMP, CUDA), Performance analysis and tuning, High-performance I/O and storage, Numerical methods for scientific computing, Big data processing on HPC systems
CSE669Advanced Scientific ComputingAdvanced Elective3Numerical methods for differential equations, Finite element methods (FEM), Computational fluid dynamics (CFD), Monte Carlo methods, Optimization in scientific computing, High-performance computing for scientific applications
CSE670Advanced BioinformaticsAdvanced Elective3Genomics and proteomics, Sequence alignment algorithms, Phylogenetic tree reconstruction, Drug discovery and design, Computational structural biology, Machine learning in bioinformatics
CSE671Advanced Medical Image ProcessingAdvanced Elective3Medical image acquisition modalities (MRI, CT, PET), Image enhancement and denoising for medical images, Medical image segmentation and registration, 3D visualization of medical data, Computer-aided diagnosis (CAD), Deep learning for medical image analysis
CSE672Advanced Computational BiologyAdvanced Elective3Systems biology and network analysis, Population genetics and evolution, Computational epigenetics, Single-cell genomics, Drug-target interaction prediction, Computational neuroscience
CSE673Advanced BiometricsAdvanced Elective3Physiological biometrics (fingerprint, iris, face), Behavioral biometrics (gait, voice, keystroke), Multimodal biometrics, Biometric system security and privacy, Performance evaluation of biometric systems, Deep learning for biometric recognition
CSE674Advanced Forensic ScienceAdvanced Elective3Forensic DNA analysis, Forensic toxicology, Forensic ballistics, Digital forensics and cybercrime, Crime scene investigation techniques, Legal and ethical aspects of forensic science
CSE675Advanced Digital ForensicsAdvanced Elective3Disk and file system forensics, Network forensics, Mobile device forensics, Memory forensics, Malware analysis for forensics, Cloud forensics and legal challenges
CSE676Advanced Information SecurityAdvanced Elective3Security models and architectures, Advanced encryption standards, Access control mechanisms (ABAC, RBAC), Intrusion detection and prevention systems, Security testing and ethical hacking, Risk management and compliance
CSE677Advanced Network SecurityAdvanced Elective3Firewall and IDS/IPS systems, VPN and IPsec protocols, Wireless network security (WPA3, 802.1X), Denial-of-Service (DoS) attacks and defenses, Botnets and advanced persistent threats, Security in SDN and NFV environments
CSE678Advanced Wireless SecurityAdvanced Elective3Security in Wi-Fi and Bluetooth, Cellular network security (4G, 5G), IoT device security, Wireless sensor network security, Radio frequency identification (RFID) security, Attacks on wireless protocols and countermeasures
CSE679Advanced CryptocurrenciesAdvanced Elective3Decentralized digital currencies, Mining and consensus mechanisms (PoW, PoS), Anonymity and privacy in cryptocurrencies, Smart contracts and DeFi applications, Cryptocurrency exchanges and wallets, Regulatory challenges and economic impact
CSE680Advanced BlockchainsAdvanced Elective3Distributed ledger technologies (DLTs), Enterprise blockchain platforms (Hyperledger, Corda), Interoperability between blockchains, Blockchain scalability solutions (Layer 2), Tokenomics and governance in blockchain, Legal and ethical issues in blockchain
CSE681Advanced FintechAdvanced Elective3Digital payments and mobile banking, Robo-advisors and AI in finance, Blockchain for financial services, Crowdfunding and peer-to-peer lending, Regulatory technology (RegTech), Cybersecurity in financial technology
CSE682Advanced Data PrivacyAdvanced Elective3Privacy-preserving data mining, Differential privacy, Homomorphic encryption for privacy, Secure multi-party computation, Anonymization techniques, Privacy regulations (GDPR, CCPA) and compliance
CSE683Advanced Ethical HackingAdvanced Elective3Penetration testing methodologies, Vulnerability assessment and exploitation, Web application hacking, Network scanning and enumeration, Social engineering techniques, Reporting and remediation strategies
CSE684Advanced Penetration TestingAdvanced Elective3Advanced network penetration testing, Red teaming and adversarial simulations, Wireless and IoT penetration testing, Cloud security penetration testing, Exploit development and reverse engineering, Post-exploitation techniques and persistence
CSE685Advanced Reverse EngineeringAdvanced Elective3Assembly language and machine code analysis, Disassemblers and debuggers, Malware analysis techniques, Software obfuscation and anti-reverse engineering, Binary patching and code injection, Hardware reverse engineering fundamentals
CSE686Advanced Malware AnalysisAdvanced Elective3Static and dynamic malware analysis, Behavioral analysis of malware, Malware families and classifications, Anti-analysis techniques, Malware forensics and incident response, Automated malware analysis systems
CSE687Advanced Incident ResponseAdvanced Elective3Incident response planning and methodologies, Containment, eradication, and recovery strategies, Digital forensics in incident response, Threat intelligence integration, Post-incident analysis and reporting, Legal and ethical considerations in incident response
CSE688Advanced Cyber ForensicsAdvanced Elective3Advanced data acquisition and preservation, Forensic analysis of operating systems, Mobile and cloud forensics, Memory and network forensics, Expert witness and legal proceedings, Cybercrime investigation and evidence handling
CSE689Advanced Security AuditAdvanced Elective3Information security governance and risk management, Audit frameworks and standards (ISO 27001, NIST), Technical security auditing (network, application, database), Compliance auditing and regulatory requirements, Security audit tools and methodologies, Reporting and post-audit activities
CSE690Advanced Risk ManagementAdvanced Elective3Enterprise risk management (ERM), Quantitative and qualitative risk analysis, Risk mitigation strategies, Crisis management and business continuity planning, Compliance and regulatory risk management, Emerging risks (cyber, geopolitical, climate)
CSE691Advanced Business AnalyticsAdvanced Elective3Predictive modeling techniques, Prescriptive analytics and optimization, Big data platforms for business analytics, Machine learning in business decision making, Text analytics for business insights, Ethical considerations in business analytics
CSE692Advanced Financial AnalyticsAdvanced Elective3Time series analysis for financial data, Quantitative finance and algorithmic trading, Risk modeling and management, Portfolio optimization, Machine learning in financial markets, Credit scoring and fraud detection
CSE693Advanced Marketing AnalyticsAdvanced Elective3Customer segmentation and targeting, Attribution modeling, Predictive analytics for marketing campaigns, A/B testing and experimentation, Social media analytics for marketing, Marketing mix modeling
CSE694Advanced Healthcare AnalyticsAdvanced Elective3Electronic health records (EHR) analysis, Predictive modeling for disease outbreaks, Patient outcome prediction, Healthcare resource optimization, Medical image and genomics analytics, Privacy and security in healthcare data
CSE695Advanced Sports AnalyticsAdvanced Elective3Performance analysis of athletes, Player recruitment and evaluation, Game strategy optimization, Wearable technology data analysis, Fan engagement and marketing analytics, Injury prediction and prevention
CSE696Advanced Geospatial AnalyticsAdvanced Elective3Geographic Information Systems (GIS) analysis, Spatial statistics and econometrics, Remote sensing data processing, Location intelligence, Geospatial machine learning, Applications in urban planning and environmental science
CSE697Advanced Social Media AnalyticsAdvanced Elective3Sentiment analysis on social media data, Network analysis of social graphs, Influence and trend detection, Crisis communication and reputation management, Ethical considerations in social media data, Social media listening and monitoring tools
CSE698Advanced Text AnalyticsAdvanced Elective3Natural Language Understanding (NLU), Topic modeling (LDA, NMF), Named entity recognition (NER), Text classification and clustering, Machine learning for text data, Advanced information retrieval
CSE699Advanced Web AnalyticsAdvanced Elective3Website traffic analysis and metrics, User behavior tracking and conversion optimization, A/B testing and multivariate testing, Search engine optimization (SEO) analytics, Social media and content analytics for web, Web data visualization and reporting
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